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2024

Article Subjects > Biomedicine
Subjects > Engineering
Subjects > Nutrition
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Background and objectives: As microbes are developing resistance to antibiotics, natural, botanical drugs or traditional herbal medicine are presently being studied with an eye of great curiosity and hope. Hence, complementary and alternative treatments for uncomplicated pelvic inflammatory disease (uPID) are explored for their efficacy. Therefore, this study determined the therapeutic efficacy and safety of Sesamum indicum Linn seeds with Rosa damascena Mill Oil in uPID with standard control. Additionally, we analyzed the data with machine learning. Materials and methods: We included 60 participants in a double-blind, double-dummy, randomized standard-controlled study. Participants in the Sesame and Rose oil group (SR group) (n = 30) received 14 days course of black sesame powder (5 gm) mixed with rose oil (10 mL) per vaginum at bedtime once daily plus placebo capsules orally. The standard group (SC), received doxycycline 100 mg twice and metronidazole 400 mg thrice orally plus placebo per vaginum for the same duration. The primary outcome was a clinical cure at post-intervention for visual analogue scale (VAS) for lower abdominal pain (LAP), and McCormack pain scale (McPS) for abdominal-pelvic tenderness. The secondary outcome included white blood cells (WBC) cells in the vaginal wet mount test, safety profile, and health-related quality of life assessed by SF-12. In addition, we used AdaBoost (AB), Naïve Bayes (NB), and Decision Tree (DT) classifiers in this study to analyze the experimental data. Results: The clinical cure for LAP and McPS in the SR vs SC group was 82.85% vs 81.48% and 83.85% vs 81.60% on Day 15 respectively. On Day 15, pus cells less than 10 in the SR vs SC group were 86.6% vs 76.6% respectively. No adverse effects were reported in both groups. The improvement in total SF-12 score on Day 30 for the SR vs SC group was 82.79% vs 80.04% respectively. In addition, our Naive Bayes classifier based on the leave-one-out model achieved the maximum accuracy (68.30%) for the classification of both groups of uPID. Conclusion: We concluded that the SR group is cost-effective, safer, and efficacious for curing uPID. Proposed alternative treatment (test drug) could be a substitute of standard drug used for Female genital tract infections. metadata Sumbul, X. and Sultana, Arshiya and Heyat, Md Belal Bin and Rahman, Khaleequr and Akhtar, Faijan and Parveen, Saba and Briones Urbano, Mercedes and Lipari, Vivian and De la Torre Díez, Isabel and Khan, Azmat Ali and Malik, Abdul mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, mercedes.briones@uneatlantico.es, vivian.lipari@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning. Frontiers in Chemistry, 12. ISSN 2296-2646

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Objective: This study aims to determine the efficacy of the Acacia arabica (Lam.) Willd. and Cinnamomum camphora (L.) J. Presl. vaginal suppository in addressing heavy menstrual bleeding (HMB) and their impact on participants' health-related quality of life (HRQoL) analyzed using machine learning algorithms. Method: A total of 62 participants were enrolled in a double-dummy, single-center study. They were randomly assigned to either the suppository group (SG), receiving a formulation prepared with Acacia arabica gum (Gond Babul) and camphor from Cinnamomum camphora (Kafoor) through two vaginal suppositories (each weighing 3,500 mg) for 7 days at bedtime along with oral placebo capsules, or the tranexamic group (TG), receiving oral tranexamic acid (500 mg) twice a day for 5 days and two placebo vaginal suppositories during menstruation at bedtime for three consecutive menstrual cycles. The primary outcome was the pictorial blood loss assessment chart (PBLAC) for HMB, and secondary outcomes included hemoglobin level and SF-36 HRQoL questionnaire scores. Additionally, machine learning algorithms such as k-nearest neighbor (KNN), AdaBoost (AB), naive Bayes (NB), and random forest (RF) classifiers were employed for analysis. Results: In the SG and TG, the mean PBLAC score decreased from 635.322 ± 504.23 to 67.70 ± 22.37 and 512.93 ± 283.57 to 97.96 ± 39.25, respectively, at post-intervention (TF3), demonstrating a statistically significant difference (p < 0.001). A higher percentage of participants in the SG achieved normal menstrual blood loss compared to the TG (93.5% vs 74.2%). The SG showed a considerable improvement in total SF-36 scores (73.56%) compared to the TG (65.65%), with a statistically significant difference (p < 0.001). Additionally, no serious adverse events were reported in either group. Notably, machine learning algorithms, particularly AB and KNN, demonstrated the highest accuracy within cross-validation models for both primary and secondary outcomes. Conclusion: The A. arabica and C. camphora vaginal suppository is effective, cost-effective, and safe in controlling HMB. This botanical vaginal suppository provides a novel and innovative alternative to traditional interventions, demonstrating promise as an effective management approach for HMB. metadata Fazmiya, Mohamed Joonus Aynul and Sultana, Arshiya and Heyat, Md Belal Bin and Parveen, Saba and Rahman, Khaleequr and Akhtar, Faijan and Khan, Azmat Ali and Alanazi, Amer M. and Ahmed, Zaheer and Díez, Isabel de la Torre and Brito Ballester, Julién and Saripalli, Tirumala Santhosh Kumar mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, julien.brito@uneatlantico.es, UNSPECIFIED (2024) Efficacy of a vaginal suppository formulation prepared with Acacia arabica (Lam.) Willd. gum and Cinnamomum camphora (L.) J. Presl. in heavy menstrual bleeding analyzed using a machine learning technique. Frontiers in Pharmacology, 15. ISSN 1663-9812

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Isoflavones are a group of (poly)phenols, also defined as phytoestrogens, with chemical structures comparable with estrogen, that exert weak estrogenic effects. These phytochemical compounds have been targeted for their proven antioxidant and protective effects. Recognizing the increasing prevalence of cardiovascular diseases (CVD), there is a growing interest in understanding the potential cardiovascular benefits associated with these phytochemical compounds. Gut microbiota may play a key role in mediating the effects of isoflavones on vascular and endothelial functions, as it is directly implicated in isoflavones metabolism. The findings from randomized clinical trials indicate that isoflavone supplementation may exert putative effects on vascular biomarkers among healthy individuals, but not among patients affected by cardiometabolic disorders. These results might be explained by the enzymatic transformation to which isoflavones are subjected by the gut microbiota, suggesting that a diverse composition of the microbiota may determine the diverse bioavailability of these compounds. Specifically, the conversion of isoflavones in equol—a microbiota-derived metabolite—seems to differ between individuals. Further studies are needed to clarify the intricate molecular mechanisms behind these contrasting results. metadata Laudani, Samuele and Godos, Justyna and Romano, Giovanni Luca and Gozzo, Lucia and Di Domenico, Federica Martina and Dominguez Azpíroz, Irma and Martínez Díaz, Raquel and Giampieri, Francesca and Quiles, José L. and Battino, Maurizio and Drago, Filippo and Galvano, Fabio and Grosso, Giuseppe mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irma.dominguez@unini.edu.mx, raquel.martinez@uneatlantico.es, francesca.giampieri@uneatlantico.es, jose.quiles@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Isoflavones Effects on Vascular and Endothelial Outcomes: How Is the Gut Microbiota Involved? Pharmaceuticals, 17 (2). p. 236. ISSN 1424-8247

2023

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés In the last decade, artificial intelligence (AI) and AI-mediated technologies have undergone rapid evolution in healthcare and medicine, from apps to computer software able to analyze medical images, robotic surgery and advanced data storage system. The main aim of the present commentary is to briefly describe the evolution of AI and its applications in healthcare, particularly in nutrition and clinical biochemistry. Indeed, AI is revealing itself to be an important tool in clinical nutrition by using telematic means to self-monitor various health metrics, including blood glucose levels, body weight, heart rate, fat percentage, blood pressure, activity tracking and calorie intake trackers. In particular, the application of the most common digital technologies used in the field of nutrition as well as the employment of AI in the management of diabetes and obesity, two of the most common nutrition-related pathologies worldwide, will be presented. metadata Salinari, Alessia and Machì, Michele and Armas Diaz, Yasmany and Cianciosi, Danila and Qi, Zexiu and Yang, Bei and Ferreiro Cotorruelo, Maria Soledad and Gracia Villar, Santos and Dzul López, Luis Alonso and Battino, Maurizio and Giampieri, Francesca mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es (2023) The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment. Diseases, 11 (3). p. 97. ISSN 2079-9721

Article Subjects > Biomedicine Ibero-american International University > Research > Scientific Production Abierto Inglés Background The negative effects of COVID-19 infections during pregnancy have been amply described, however, the persistent sequels of this infection have not been explored so far. Objective The aim of this study was to describe persisting symptoms after COVID-19 infection in pregnant and non-pregnant women in Ecuador. Methods A cross-sectional analysis based on an online, self-reporting questionnaire was conducted in Ecuador from April to July 2022. Participants were invited by social media, radio, and TV to voluntarily participate in our study. A total of 457 surveys were included in this study. We compared risk factor variables and long-term persisting symptoms of pregnant and non-pregnant women in Ecuador. Results Overall, 247 (54.1 %) responders claimed to have long-term symptoms after SARS-CoV-2 infection. Most of these symptoms were reported by non-pregnant women (94.0 %). The most common Long-COVID symptoms in pregnant women were fatigue (10.6 %), hair loss (9.6 %), and difficulty concentrating (6.2 %). We found that pregnant women who smoked had a higher risk of suffering fatigue. Conclusions The most frequent Long-COVID symptoms in pregnant women were fatigue, hair loss, and difficulty concentrating. Apparently, the patterns of presentation of long-term sequelae of SARS-CoV-2 infection in pregnant women do not differ significantly from reports available from studies in the general population. metadata Vásconez-González, Jorge and Fernandez-Naranjo, Raul and Izquierdo Condoy, Juan Sebastian and Delgado-Moreira, Karen and Cordovez, Simone and Tello-De-la-Torre, Andrea and Paz, Clara and Castillo, Diana and Izquierdo-Condoy, Nathaly and Carrington, Sarah J. and Ortiz-Prado, Esteban mail UNSPECIFIED (2023) Comparative analysis of long-term self-reported COVID-19 symptoms among pregnant women. Journal of Infection and Public Health, 16 (3). pp. 430-440. ISSN 18760341

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Artificial intelligence has made substantial progress in medicine. Automated dental imaging interpretation is one of the most prolific areas of research using AI. X-ray and infrared imaging systems have enabled dental clinicians to identify dental diseases since the 1950s. However, the manual process of dental disease assessment is tedious and error-prone when diagnosed by inexperienced dentists. Thus, researchers have employed different advanced computer vision techniques, and machine- and deep-learning models for dental disease diagnoses using X-ray and near-infrared imagery. Despite the notable development of AI in dentistry, certain factors affect the performance of the proposed approaches, including limited data availability, imbalanced classes, and lack of transparency and interpretability. Hence, it is of utmost importance for the research community to formulate suitable approaches, considering the existing challenges and leveraging findings from the existing studies. Based on an extensive literature review, this survey provides a brief overview of X-ray and near-infrared imaging systems. Additionally, a comprehensive insight into challenges faced by researchers in the dental domain has been brought forth in this survey. The article further offers an amalgamative assessment of both performances and methods evaluated on public benchmarks and concludes with ethical considerations and future research avenues. metadata Shafi, Imran and Fatima, Anum and Afzal, Hammad and Díez, Isabel de la Torre and Lipari, Vivian and Breñosa, Jose and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, josemanuel.brenosa@uneatlantico.es, UNSPECIFIED (2023) A Comprehensive Review of Recent Advances in Artificial Intelligence for Dentistry E-Health. Diagnostics, 13 (13). p. 2196. ISSN 2075-4418

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés A novel approach is presented in this study for the classification of lower limb disorders, with a specific emphasis on the knee, hip, and ankle. The research employs gait analysis and the extraction of PoseNet features from video data in order to effectively identify and categorize these disorders. The PoseNet algorithm facilitates the extraction of key body joint movements and positions from videos in a non-invasive and user-friendly manner, thereby offering a comprehensive representation of lower limb movements. The features that are extracted are subsequently standardized and employed as inputs for a range of machine learning algorithms, such as Random Forest, Extra Tree Classifier, Multilayer Perceptron, Artificial Neural Networks, and Convolutional Neural Networks. The models undergo training and testing processes using a dataset consisting of 174 real patients and normal individuals collected at the Tehsil Headquarter Hospital Sadiq Abad. The evaluation of their performance is conducted through the utilization of K-fold cross-validation. The findings exhibit a notable level of accuracy and precision in the classification of various lower limb disorders. Notably, the Artificial Neural Networks model achieves the highest accuracy rate of 98.84%. The proposed methodology exhibits potential in enhancing the diagnosis and treatment planning of lower limb disorders. It presents a non-invasive and efficient method of analyzing gait patterns and identifying particular conditions. metadata Siddiqui, Hafeez Ur Rehman and Saleem, Adil Ali and Raza, Muhammad Amjad and Gracia Villar, Santos and Dzul Lopez, Luis and Diez, Isabel de la Torre and Rustam, Furqan and Dudley, Sandra mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, luis.dzul@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence. Diagnostics, 13 (18). p. 2881. ISSN 2075-4418

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Background and Aims The 2022-mpox outbreak has spread worldwide in a short time. Integrated knowledge of the epidemiology, clinical characteristics, and transmission of mpox are limited. This systematic review of peer-reviewed articles and gray literature was conducted to shed light on the epidemiology, clinical features, and transmission of 2022-mpox outbreak. Methods We identified 45 peer-reviewed manuscripts for data analysis. The standards of the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) Statement and Cochrane Collaboration were followed for conducting the study. Results The case number of mpox has increased about 100 times worldwide. About 99% of the cases in 2022 outbreak was from non-endemic regions. Men (70%–98% cases) were mostly infected with homosexual and bisexual behavior (30%–60%). The ages of the infected people ranged between 30 and 40 years. The presence of HIV and sexually transmitted infections among 30%–60% of cases were reported. Human-to-human transmission via direct contact and different body fluids were involved in the majority of the cases (90%–100%). Lesions in genitals, perianal, and anogenital areas were more prevalent. Unusually, pharyngitis (15%–40%) and proctitis (20%–40%) were more common during 2022 outbreak than pre-2022 outbreaks. Brincidofovir is approved for the treatment of smallpox by FDA (USA). Two vaccines, including JYNNEOSTM and ACAM2000®, are approved and used for pre- and post-prophylaxis in cases. About 100% of the cases in non-endemic regions were associated with isolates of IIb clade with a divergence of 0.0018–0.0035. Isolates from B.1 lineage were the most predominant followed by B.1.2 and B.1.10. Conclusion This study will add integrated knowledge of the epidemiology, clinical features, and transmission of mpox. metadata Sharif, Nadim and Sharif, Nazmul and Alzahrani, Khalid J. and Halawani, Ibrahim F. and Alzahrani, Fuad M. and Díez, Isabel De la Torre and Lipari, Vivian and López Flores, Miguel Ángel and Parvez, Anowar K. and Dey, Shuvra K. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, miguelangel.lopez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Molecular epidemiology, transmission and clinical features of 2022‐mpox outbreak: A systematic review. Health Science Reports, 6 (10). ISSN 2398-8835

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Objective The aim was to explore the association of demographic and prehospital parameters with short-term and long-term mortality in acute life-threatening cardiovascular disease by using a hazard model, focusing on elderly individuals, by comparing patients under 75 years versus patients over 75 years of age. Design Prospective, multicentre, observational study. Setting Emergency medical services (EMS) delivery study gathering data from two back-to-back studies between 1 October 2019 and 30 November 2021. Six advanced life support (ALS), 43 basic life support and five hospitals in Spain were considered. Participants Adult patients suffering from acute life-threatening cardiovascular disease attended by the EMS. Primary and secondary outcome measures The primary outcome was in-hospital mortality from any cause within the first to the 365 days following EMS attendance. The main measures included prehospital demographics, biochemical variables, prehospital ALS techniques used and syndromic suspected conditions. Results A total of 1744 patients fulfilled the inclusion criteria. The 365-day cumulative mortality in the elderly amounted to 26.1% (229 cases) versus 11.6% (11.6%) in patients under 75 years old. Elderly patients (≥75 years) presented a twofold risk of mortality compared with patients ≤74 years. Life-threatening interventions (mechanical ventilation, cardioversion and defibrillation) were also related to a twofold increased risk of mortality. Importantly, patients suffering from acute heart failure presented a more than twofold increased risk of mortality. Conclusions This study revealed the prehospital variables associated with the long-term mortality of patients suffering from acute cardiovascular disease. Our results provide important insights for the development of specific codes or scores for cardiovascular diseases to facilitate the risk of mortality characterisation. metadata del Pozo Vegas, Carlos and Zalama-Sánchez, Daniel and Sanz-Garcia, Ancor and López-Izquierdo, Raúl and Sáez-Belloso, Silvia and Mazas Pérez-Oleaga, Cristina and Dominguez Azpíroz, Irma and Elío Pascual, Iñaki and Martín-Rodríguez, Francisco mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es, irma.dominguez@unini.edu.mx, inaki.elio@uneatlantico.es, UNSPECIFIED (2023) Prehospital acute life-threatening cardiovascular disease in elderly: an observational, prospective, multicentre, ambulance-based cohort study. BMJ Open, 13 (11). e078815. ISSN 2044-6055

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Background: Nowadays, there is no gold standard score for prehospital sepsis and sepsis-related mortality identification. The aim of the present study was to analyze the performance of qSOFA, NEWS2 and mSOFA as sepsis predictors in patients with infection-suspected in prehospital care. The second objective is to study the predictive ability of the aforementioned scores in septic-shock and in-hospital mortality. Methods: Prospective, ambulance-based, and multicenter cohort study, developed by the emergency medical services, among patients (n = 535) with suspected infection transferred by ambulance with high-priority to the emergency department (ED). The study enrolled 40 ambulances and 4 ED in Spain between 1 January 2020, and 30 September 2021. All the variables used in the scores, in addition to socio-demographic data, standard vital signs, prehospital analytical parameters (glucose, lactate, and creatinine) were collected. For the evaluation of the scores, the discriminative power, calibration curve and decision curve analysis (DCA) were used. Results: The mSOFA outperformed the other two scores for mortality, presenting the following AUCs: 0.877 (95%CI 0.841–0.913), 0.761 (95%CI 0.706–0.816), 0.731 (95%CI 0.674–0.788), for mSOFA, NEWS, and qSOFA, respectively. No differences were found for sepsis nor septic shock, but mSOFA’s AUCs was higher than the one of the other two scores. The calibration curve and DCA presented similar results. Conclusion: The use of mSOFA could provide and extra insight regarding the short-term mortality and sepsis diagnostic, backing its recommendation in the prehospital scenario. metadata Melero-Guijarro, Laura and Sanz-García, Ancor and Martín-Rodríguez, Francisco and Lipari, Vivian and Mazas Pérez-Oleaga, Cristina and Carvajal-Altamiranda, Stefanía and Martínez López, Nohora Milena and Dominguez Azpíroz, Irma and Castro Villamor, Miguel A. and Sánchez Soberón, Irene and López-Izquierdo, Raúl mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, cristina.mazas@uneatlantico.es, stefania.carvajal@uneatlantico.es, nohora.martinez@uneatlantico.es, irma.dominguez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Prehospital qSOFA, mSOFA, and NEWS2 performance for sepsis prediction: A prospective, multi-center, cohort study. Frontiers in Medicine, 10. ISSN 2296-858X

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Introduction: Rotavirus infection is a major cause of mortality among children under 5 years in Bangladesh. There is lack of integrated studies on rotavirus prevalence and genetic diversity during 1973 to 2023 in Bangladesh. Methods: This meta-analysis was conducted to determine the prevalence, genotypic diversity and seasonal distribution of rotavirus during pre-vaccination period in Bangladesh. This study included published articles on rotavirus A, rotavirus B and rotavirus C. We used Medline, Scopus and Google Scholar for published articles. Selected literatures were published between 1973 to 2023. Results: This study detected 12431 research articles published on rotavirus. Based on the inclusion criteria, 29 of 75 (30.2%) studies were selected. Molecular epidemiological data was taken from 29 articles, prevalence data from 29 articles, and clinical symptoms from 19 articles. The pooled prevalence of rotavirus was 30.1% (95% CI: 22%-45%, p = 0.005). Rotavirus G1 (27.1%, 2228 of 8219) was the most prevalent followed by G2 (21.09%, 1733 of 8219), G4 (11.58%, 952 of 8219), G9 (9.37%, 770 of 8219), G12 (8.48%, 697 of 8219), and G3 (2.79%, 229 of 8219), respectively. Genotype P[8] (40.6%, 2548 of 6274) was the most prevalent followed by P[4] (12.4%, 777 of 6274) and P[6] (6.4%, 400 of 6274), respectively. Rotavirus G1P[8] (19%) was the most frequent followed by G2P [4] (9.4%), G12P[8] (7.2%), and G9P[8], respectively. Rotavirus infection had higher odds of occurrence during December and February (aOR: 2.86, 95% CI: 2.43-3.6, p = 0.001). Discussion: This is the first meta-analysis including all the studies on prevalence, molecular epidemiology, and genetic diversity of rotavirus from 1973 to 2023, pre-vaccination period in Bangladesh. This study will provide overall scenario of rotavirus genetic diversity and seasonality during pre-vaccination period and aids in policy making for rotavirus vaccination program in Bangladesh. This work will add valuable knowledge for vaccination against rotavirus and compare the data after starting vaccination in Bangladesh. metadata Sharif, Nadim and Sharif, Nazmul and Khan, Afsana and Dominguez Azpíroz, Irma and Martínez Díaz, Raquel and Díez, Isabel De la Torre and Parvez, Anowar Khasru and Dey, Shuvra Kanti mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irma.dominguez@unini.edu.mx, raquel.martinez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Prevalence and genetic diversity of rotavirus in Bangladesh during pre-vaccination period, 1973-2023: a meta-analysis. Frontiers in Immunology, 14. ISSN 1664-3224

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Introduction: Co-prevalence of long-COVID-19, cardiovascular diseases and diabetes is one of the major health challenges of the pandemic worldwide. Studies on long-COVID-19 and associated health outcomes are absent in Bangladesh. The main aim of this study was to determine the prevalence and impact of long-COVID-19 on preexisting diabetes and cardiovascular diseases (CVD) on health outcomes among patients in Bangladesh. Methods: We collected data from 3,250 participants in Bangladesh, retrospectively. Multivariable logistic regression model was used to determine the odds ratio between independent and dependent variables. Kaplan-Meier survival curve was used to determine the cumulative survival. Results: COVID-19 was detected among 73.4% (2,385 of 3,250) participants. Acute long-COVID-19 was detected among 28.4% (678 of 2,385) and chronic long-COVID-19 among 71.6% (1,707 of 2,385) patients. CVD and diabetes were found among 32%, and 24% patients, respectively. Mortality rate was 18% (585 of 3,250) among the participants. Co-prevalence of CVD, diabetes and COVID-19 was involved in majority of fatality (95%). Fever (97%), dry cough (87%) and loss of taste and smell (85%) were the most prevalent symptoms. Patients with co-prevalence of CVD, diabetes and COVID-19 had higher risk of fatality (OR: 3.65, 95% CI, 2.79–4.24). Co-prevalence of CVD, diabetes and chronic long-COVID-19 were detected among 11.9% patients. Discussion: Risk of hospitalization and fatality reduced significantly among the vaccinated. This is one of the early studies on long-COVID-19 in Bangladesh. metadata Sharif, Nadim and Sharif, Nazmul and Khan, Afsana and Halawani, Ibrahim F. and Alzahrani, Fuad M. and Alzahrani, Khalid J. and Díez, Isabel De la Torre and Ramírez-Vargas, Debora L. and Kuc Castilla, Ángel Gabriel and Parvez, Anowar Khasru and Dey, Shuvra Kanti mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, debora.ramirez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Prevalence and impact of long COVID-19 among patients with diabetes and cardiovascular diseases in Bangladesh. Frontiers in Public Health, 11. ISSN 2296-2565

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Mutations allow viruses to continuously evolve by changing their genetic code to adapt to the hosts they infect. It is an adaptive and evolutionary mechanism that helps viruses acquire characteristics favoring their survival and propagation. The COVID-19 pandemic declared by the WHO in March 2020 is caused by the SARS-CoV-2 virus. The non-stop adaptive mutations of this virus and the emergence of several variants over time with characteristics favoring their spread constitute one of the biggest obstacles that researchers face in controlling this pandemic. Understanding the mutation mechanism allows for the adoption of anticipatory measures and the proposal of strategies to control its propagation. In this study, we focus on the mutations of this virus, and we propose the SARSMutOnto ontology to model SARS-CoV-2 mutations reported by Pango researchers. A detailed description is given for each mutation. The genes where the mutations occur and the genomic structure of this virus are also included. The sub-lineages and the recombinant sub-lineages resulting from these mutations are additionally represented while maintaining their hierarchy. We developed a Python-based tool to automatically generate this ontology from various published Pango source files. At the end of this paper, we provide some examples of SPARQL queries that can be used to exploit this ontology. SARSMutOnto might become a ‘wet bench’ machine learning tool for predicting likely future mutations based on previous mutations. metadata Bakkas, Jamal and Hanine, Mohamed and Chekry, Abderrahman and Gounane, Said and de la Torre Díez, Isabel and Lipari, Vivian and Martínez López, Nohora Milena and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, nohora.martinez@uneatlantico.es, UNSPECIFIED (2023) SARSMutOnto: An Ontology for SARS-CoV-2 Lineages and Mutations. Viruses, 15 (2). p. 505. ISSN 1999-4915

Article Subjects > Biomedicine
Subjects > Engineering
Subjects > Nutrition
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Cerrado Inglés Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in the scientific community, especially in the health sector. With the aim of providing useful tools to help nutritionists and dieticians, research focused on the development of ML and Deep Learning (DL) algorithms and models is searched in the literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol has been used, a very common technique applied to carry out revisions. In our proposal, 17 articles have been filtered in which ML and DL are applied in the prediction of diseases, in the delineation of treatment strategies, in the improvement of personalized nutrition and more. Despite expecting better results with the use of DL, according to the selected investigations, the traditional methods are still the most used and the yields in both cases fluctuate around positive values, conditioned by the databases (transformed in each case) to a greater extent than by the artificial intelligence paradigm used. Conclusions: An important compilation is provided for the literature in this area. ML models are time-consuming to clean data, but (like DL) they allow automatic modeling of large volumes of data which makes them superior to traditional statistics. metadata Ferreras, Antonio and Sumalla Cano, Sandra and Martínez-Licort, Rosmeri and Elío Pascual, Iñaki and Tutusaus, Kilian and Prola, Thomas and Vidal Mazón, Juan Luis and Sahelices, Benjamín and de la Torre Díez, Isabel mail UNSPECIFIED, sandra.sumalla@uneatlantico.es, UNSPECIFIED, inaki.elio@uneatlantico.es, kilian.tutusaus@uneatlantico.es, thomas.prola@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight. Journal of Medical Systems, 47 (1). ISSN 1573-689X

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés This study sought to investigate how different brain regions are affected by Alzheimer’s disease (AD) at various phases of the disease, using independent component analysis (ICA). The study examines six regions in the mild cognitive impairment (MCI) stage, four in the early stage of Alzheimer’s disease (AD), six in the moderate stage, and six in the severe stage. The precuneus, cuneus, middle frontal gyri, calcarine cortex, superior medial frontal gyri, and superior frontal gyri were the areas impacted at all phases. A general linear model (GLM) is used to extract the voxels of the previously mentioned regions. The resting fMRI data for 18 AD patients who had advanced from MCI to stage 3 of the disease were obtained from the ADNI public source database. The subjects include eight women and ten men. The voxel dataset is used to train and test ten machine learning algorithms to categorize the MCI, mild, moderate, and severe stages of Alzheimer’s disease. The accuracy, recall, precision, and F1 score were used as conventional scoring measures to evaluate the classification outcomes. AdaBoost fared better than the other algorithms and obtained a phenomenal accuracy of 98.61%, precision of 99.00%, and recall and F1 scores of 98.00% each. metadata Shahzadi, Samra and Butt, Naveed Anwer and Sana, Muhammad Usman and Elío Pascual, Iñaki and Briones Urbano, Mercedes and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, inaki.elio@uneatlantico.es, mercedes.briones@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Voxel Extraction and Multiclass Classification of Identified Brain Regions across Various Stages of Alzheimer’s Disease Using Machine Learning Approaches. Diagnostics, 13 (18). p. 2871. ISSN 2075-4418

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Objective This study aims to develop a lightweight convolutional neural network-based edge federated learning architecture for COVID-19 detection using X-ray images, aiming to minimize computational cost, latency, and bandwidth requirements while preserving patient privacy. Method The proposed method uses an edge federated learning architecture to optimize task allocation and execution. Unlike in traditional edge networks where requests from fixed nodes are handled by nearby edge devices or remote clouds, the proposed model uses an intelligent broker within the federation to assess member edge cloudlets' parameters, such as resources and hop count, to make optimal decisions for task offloading. This approach enhances performance and privacy by placing tasks in closer proximity to the user. DenseNet is used for model training, with a depth of 60 and 357,482 parameters. This resource-aware distributed approach optimizes computing resource utilization within the edge-federated learning architecture. Results The experimental results demonstrate significant improvements in various performance metrics. The proposed method reduces training time by 53.1%, optimizes CPU and memory utilization by 17.5% and 33.6%, and maintains accurate COVID-19 detection capabilities without compromising the F1 score, demonstrating the efficiency and effectiveness of the lightweight convolutional neural network-based edge federated learning architecture. Conclusion Existing studies predominantly concentrate on either privacy and accuracy or load balancing and energy optimization, with limited emphasis on training time. The proposed approach offers a comprehensive performance-centric solution that simultaneously addresses privacy, load balancing, and energy optimization while reducing training time, providing a more holistic and balanced solution for optimal system performance. metadata Alvi, Sohaib Bin Khalid and Nayyer, Muhammad Ziad and Jamal, Muhammad Hasan and Raza, Imran and de la Torre Diez, Isabel and Rodríguez Velasco, Carmen Lilí and Breñosa, Jose and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carmen.rodriguez@uneatlantico.es, josemanuel.brenosa@uneatlantico.es, UNSPECIFIED (2023) A lightweight deep learning approach for COVID-19 detection using X-ray images with edge federation. DIGITAL HEALTH, 9. ISSN 2055-2076

2022

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Artificial intelligence has been widely used in the field of dentistry in recent years. The present study highlights current advances and limitations in integrating artificial intelligence, machine learning, and deep learning in subfields of dentistry including periodontology, endodontics, orthodontics, restorative dentistry, and oral pathology. This article aims to provide a systematic review of current clinical applications of artificial intelligence within different fields of dentistry. The preferred reporting items for systematic reviews (PRISMA) statement was used as a formal guideline for data collection. Data was obtained from research studies for 2009–2022. The analysis included a total of 55 papers from Google Scholar, IEEE, PubMed, and Scopus databases. Results show that artificial intelligence has the potential to improve dental care, disease diagnosis and prognosis, treatment planning, and risk assessment. Finally, this study highlights the limitations of the analyzed studies and provides future directions to improve dental care metadata Fatima, Anum and Shafi, Imran and Afzal, Hammad and Díez, Isabel De La Torre and Lourdes, Del Rio-Solá M. and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2022) Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives. Healthcare, 10 (11). p. 2188. ISSN 2227-9032

Thesis Subjects > Biomedicine
Subjects > Teaching
Europe University of Atlantic > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español El ecosistema en todo el mundo facilita recursos básicos para sobrevivir. El Futuro depende de la diversidad biológica: los animales, plantas, bosques, mares, y demás ecología del mundo. De ellas suplimos nuestras necesidades primordiales como los alimentos, fármacos, agua, etc.En los últimos tiempos el gran desarrollo en el turismo ha aumentado a gran escala, perjudicando las áreas protegidas. En la Republica Dominicana el turismo representa una gran importancia para el país, considerando el turismo sostenible o ecoturismo. En este sentido, el proyecto que se presentara a continuación examina las zonas protegidas del país, tratando de llegar a análisis con referencia a las particularidades del publico que visita estas áreas. Nuestro objetivo general es a través de la investigación conocer la situación actualizada del ecoturismo, mediante revisión de documentos y actividades de la zona para poder analizar el movimiento ecoturístico de Punta Cana.En nuestros objetivos específicos es determinar si el conocimiento del medio ambiente y las actividades hacia el ecoturismo son variables conceptuales apropiadas para medir las percepciones de los ecoturistas en las áreas protegidas, analizar si los servicios de los recursos son variables conceptuales apropiadas para medir las satisfacciones de los ecoturistas en las áreas protegidas y evaluar la consistencia interna y la validez de instrumento de medida para el valor hacia los recursos ecoturísticos. metadata Mota Silvestre, Kary Andiana mail Kary.mota@me.com (2022) Análisis del Ecoturismo en Punta Cana, Republica Dominicana. Masters thesis, UNSPECIFIED.

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Asthma is a deadly disease that affects the lungs and air supply of the human body. Coronavirus and its variants also affect the airways of the lungs. Asthma patients approach hospitals mostly in a critical condition and require emergency treatment, which creates a burden on health institutions during pandemics. The similar symptoms of asthma and coronavirus create confusion for health workers during patient handling and treatment of disease. The unavailability of patient history to physicians causes complications in proper diagnostics and treatments. Many asthma patient deaths have been reported especially during pandemics, which necessitates an efficient framework for asthma patients. In this article, we have proposed a blockchain consortium healthcare framework for asthma patients. The proposed framework helps in managing asthma healthcare units, coronavirus patient records and vaccination centers, insurance companies, and government agencies, which are connected through the secure blockchain network. The proposed framework increases data security and scalability as it stores encrypted patient data on the Interplanetary File System (IPFS) and keeps data hash values on the blockchain. The patient data are traceable and accessible to physicians and stakeholders, which helps in accurate diagnostics, timely treatment, and the management of patients. The smart contract ensures the execution of all business rules. The patient profile generation mechanism is also discussed. The experiment results revealed that the proposed framework has better transaction throughput, query delay, and security than existing solutions metadata Farooq, Muhammad Shoaib and Suhail, Maryam and Qureshi, Junaid Nasir and Rustam, Furqan and de la Torre Díez, Isabel and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics. Sensors, 22 (21). p. 8582. ISSN 1424-8220

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Español Patient care and convenience remain the concern of medical professionals and caregivers alike. An unconscious patient confined to a bed may develop fluid accumulation and pressure sores due to inactivity and deficiency of oxygen flow. Moreover, weight monitoring is crucial for an effective treatment plan, which is difficult to measure for bedridden patients. This paper presents the design and development of a smart and cost-effective independent system for lateral rotation, movement, weight measurement, and transporting immobile patients. Optimal dimensions and practical design specifications are determined by a survey across various hospitals. Subsequently, the proposed hoist-based weighing and turning mechanism is CAD-modeled and simulated. Later, the structural analysis is carried out to select suitable metallurgy for various sub-assemblies to ensure design reliability. After fabrication, optimization, integration, and testing procedures, the base frame is designed to mount a hydraulic motor for the actuator, a DC power source for self-sustenance, and lockable wheels for portability. The installation of a weighing scale and a hydraulic actuator is ensured to lift the patient for weight measuring up to 600 pounds or lateral turning of 80 degrees both ways. The developed system offers simple operating characteristics, allows for keeping patient weight records, and assists nurses in changing patients’ lateral positions both ways, comfortably massage patients’ backs, and transport them from one bed to another. Additionally, being lightweight offers reduced contact with the patient to increase the healthcare staff’s safety in pandemics; it is also height adjustable and portable, allowing for use with multiple-sized beds and easy transportation across the medical facility. The feedback from paramedics is encouraging regarding reducing labor-intensive nursing tasks, alleviating the discomfort of long-term bed-ridden patients, and allowing medical practitioners to suggest better treatment plans metadata Shafi, Imran and Farooq, Muhammad Siddique and De La Torre Díez, Isabel and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2022) Design and Development of Smart Weight Measurement, Lateral Turning and Transfer Bedding for Unconscious Patients in Pandemics. Healthcare, 10 (11). p. 2174. ISSN 2227-9032

Thesis Subjects > Biomedicine
Subjects > Teaching
Ibero-american International University > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español Se precisa encontrar nuevos métodos de enseñanza de contenidos, especialmente en las primeras etapas de la educación. La investigación tiene como finalidad proyectar como enseñar el lenguaje a los niños desde años iniciales por medio de métodos lúdicos a traves de materiales didácticos que hacen las clases más amenas, y en un futuro crea estudiantes con buenas bases de conocimiento. metadata Lozada Rivera, Manuel Jesus mail ajesusmlr32@hotmail.com (2022) Diseño de material didáctico como herramienta para mejorar la comprensión del lengua en niños de inicial 2 de la unidad educativa “Chone”diseño de material didáctico como herramienta para mejorar la comprensión del lengua en niños de inicial 2 de la unidad educativa “Chone”. Masters thesis, UNSPECIFIED.

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The diagnosis of early-stage lung cancer is challenging due to its asymptomatic nature, especially given the repeated radiation exposure and high cost of computed tomography(CT). Examining the lung CT images to detect pulmonary nodules, especially the cell lung cancer lesions, is also tedious and prone to errors even by a specialist. This study proposes a cancer diagnostic model based on a deep learning-enabled support vector machine (SVM). The proposed computer-aided design (CAD) model identifies the physiological and pathological changes in the soft tissues of the cross-section in lung cancer lesions. The model is first trained to recognize lung cancer by measuring and comparing the selected profile values in CT images obtained from patients and control patients at their diagnosis. Then, the model is tested and validated using the CT scans of both patients and control patients that are not shown in the training phase. The study investigates 888 annotated CT scans from the publicly available LIDC/IDRI database. The proposed deep learning-assisted SVM-based model yields 94% accuracy for pulmonary nodule detection representing early-stage lung cancer. It is found superior to other existing methods including complex deep learning, simple machine learning, and the hybrid techniques used on lung CT images for nodule detection. Experimental results demonstrate that the proposed approach can greatly assist radiologists in detecting early lung cancer and facilitating the timely management of patients. metadata Shafi, Imran and Din, Sadia and Khan, Asim and Díez, Isabel De La Torre and Pali-Casanova, Ramón and Tutusaus, Kilian and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ramon.pali@unini.edu.mx, kilian.tutusaus@uneatlantico.es, UNSPECIFIED (2022) An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network. Cancers, 14 (21). p. 5457. ISSN 2072-6694

Thesis Subjects > Biomedicine Ibero-american International University > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español Es primordial dentro de las instituciones de salud brindar atención de calidad a las personas que lo requieren, por ello, es fundamental que el personal de salud cuente con buen ambiente y motivación en el área laboral y más aún dentro de las áreas críticas. El presente trabajo tiene como tema “Estrategias motivacionales para el personal de enfermería que labora en áreas críticas del Hospital Verdi Cevallos Balda”, tuvo como principal objetivo proponer estrategias motivacionales para el personal de enfermería que labora en áreas críticas de la institución mencionada. La metodología utilizada fue la mixta ya que se utilizó un análisis cualitativo y cuantitativo, La técnica usada fue la encuesta aplicada a 30 licenciadas en enfermería del hospital para conocer el nivel motivacional del personal que labora en el mencionado servicio, se concluye que cuentan con un nivel motivacional aceptable, pero que puede ser mejorado. Para ello, las estrategias motivacionales desarrolladas en la presente investigación serán de gran ayuda para lograr un aumento en el desempeño laboral del personal de enfermería. metadata Pincay Ponce, Mariana Monserrate mail marielapinpon@hotmail.com (2022) Estrategias motivacionales para el personal de enfermería que labora en áreas críticas del Hospital Verdi Cevallos Balda.Noviembre2021-Enero2022. Masters thesis, UNSPECIFIED.

Thesis Subjects > Biomedicine Ibero-american International University > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español El Proyecto final corresponde a la Evaluación de la calidad de servicios de atención al paciente en el consultorio privado médico-estético MEDICINESTHETIC, en la ciudad de Guayaquil durante el periodo 2020-2021; para lo cual se ha establecido como objetivo general, evaluar la calidad de servicios de atención al paciente en el consultorio privado médico-estético con el fin de aumentar la productividad empresarial mediante un plan de mejoramiento de la calidad de atención. Esto se dio por el problema identificado que se enfocó a la baja calidad de atención médica que brinda el consultorio privado, puesto que mediante la apreciación que han brindado los pacientes en sus consultas médicas ha sido insatisfactorio. Por ende, el Proyecto Final se sustentó en base a un proceso metodológico que ha facilitado la indagación y recolección de información; aquel proceso corresponde a un enfoque de tipo cualitativo y cuantitativo, de tipo descriptivo, donde se ha destacado los aspectos y características más importantes; además, se contó con el método inductivo – deductivo. Asimismo, para la aplicación del instrumento de investigación se ha considerado a 200 pacientes mayores de 18 años que son atendidos en el consultorio médico-estético, obteniendo resultados frente al grado de satisfacción, donde el 45% afirma que el consultorio se encuentra limpio y ordenado al momento de la atención; el 50% asegura que utilizan equipos modernos para la calidad del servicio; el 69% se siente satisfecho frente al servicio que esperaba y el 40% mencionó que en la primera cita el centro cumplió con las expectativas del servicio de calidad para los pacientes. Frente a estos resultados, el 45% de pacientes afirman que es conveniente diseñar un plan de mejoramiento de la calidad, puesto que con el pasar del tiempo surgen nuevas necesidades en el ámbito de la salud. Estos resultados han permitido llegar a la conclusión que las acciones necesarias para mejorar la calidad de atención, es resolver los problemas o dudas y sobre todo fortalecer el grado de confianza entre el personal y pacientes del centro médico – estético. Además, el diseño del Plan de mejoramiento de la calidad es esencial para tratar las acciones necesarias ante la productividad empresarial. metadata Sarmiento Castillo, Tania Soledad mail taniasarmientocast@gmail.com (2022) Evaluación de la calidad de servicios de atención al paciente en el consultorio privado médico-estético MEDICINESTHETIC, en la ciudad de Guayaquil durante el periodo 2020-2021. Masters thesis, UNSPECIFIED.

Thesis Subjects > Biomedicine Ibero-american International University > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español El presente proyecto de investigación está orientado en la evaluación de la calidad de servicios de salud en el departamento médico, cuyos valores son la protección de la seguridad y salud de los trabajadores. En este contexto, es imprescindible crear consciencia, para mejorar la calidad del servicio, esto incluye desarrollar capacidades y habilidades del personal médico al momento de tratar enfermedades laborales en todos los ámbitos (físico, químico, mecánico, biológico, ergonómico y psicosocial). Por tanto, el objetivo de este estudio es evaluar la calidad de servicios de salud y la satisfacción del usuario en el departamento médico de la empresa Salica del Ecuador ubicado en la parroquia rural Posorja, Ecuador, durante el período agosto-septiembre 2021. Para ello, se planteó un estudio cuantitativo, con un diseño transversal, tomando como participantes a los trabajadores de la empresa que asisten al departamento médico, mismos que han aceptado participar voluntariamente. De acuerdo a los resultados del estudio se muestra un grado de satisfacción del 35% con respecto a la atención que reciben los usuarios, entre las principales cualidades destaca la empatía, seguridad y capacidad de respuesta que muestra el personal, alcanzando un grado de insatisfacción del 9% en relación a elementos tangibles y fiabilidad, ya que refieren que el consultorio no posee instalaciones atractivas y equipos modernos para el servicio médico, además, el personal no posee cualidades adecuadas para la atención de necesidades específicas de los usuarios. En conclusión, se cumplieron los objetivos del estudio, se realizó un diagnóstico situacional a través de la encuesta SERVQUAL modificada que evaluó la calidad del servicio del departamento de la empresa, identificando las principales necesidades del departamento médico, y se elaboró un plan de mejora para satisfacer las necesidades de los trabajadores. metadata Lopez Jimenez, Silvia Lisseth mail silvialj93@gmail.com (2022) Evaluación de la calidad de servicios de salud en el departamento médico de la empresa privada sálica del ecuador, ubicado en la parroquia Posorja, en el periodo de agosto y septiembre de 2021. Masters thesis, UNSPECIFIED.

Article Subjects > Biomedicine Ibero-american International University > Research > Scientific Production Abierto Inglés Background: The rapid spread of the SARS-CoV-2 virus, especially during the first year of the COVID-19 pandemic, has caused an unprecedented health crisis worldwide. Fear of getting infected, and the high mortality rates in some places, prompted the general population to engage in self-medication practices. Methods: We conducted a cross-sectional analysis of Ecuador's prescription and self-medication consumption trends during the first two years COVID-19 pandemic. Data came from an integrated countrywide database of the physician prescribing trends, the use of over-the-counter medicines, (OTC) and the medicine-related spending levels through the COVID-19 pandemic in Ecuador. We compared the absolute difference in monthly and yearly demand and calculated excessive expenditure from previous years. Findings: We found that in Ecuador, the pre-pandemic (2017-2019) yearly expenditure among these ATC groups was, on average, $150’646,206 while during 2020 and 2021, the same groups represented $228.327.210, a significant 52% increase. Of this amount, 13% were OTC Medicines, and 87% required a formal prescription. The most remarkable growth in drug sales came from ivermectin with 2,057%, followed by hydroxychloroquine with 171%. Interpretation: Our study shows that people consumed large quantities of medicines during the first two years of the pandemic in Ecuador, including drugs with no proven benefit to treat or reduce the risk of progression due to COVID-19. We suggest that the lack of local prescription guidelines and prescription control, as well as generalized fear and misinformation led doctors and patients to prescribe and consume vast amounts of unnecessary medicines. metadata Ortiz-Prado, Esteban and Izquierdo Condoy, Juan Sebastian and Mora, Carla and Vásconez-González, Jorge and Fernández, Raúl mail UNSPECIFIED (2022) Excessive Sales of Pharmaceutical Drugs in a Low and Middle-Income Country During the COVID-19 Pandemic: The Case of Ecuador. SSRN Electronic Journal. ISSN 1556-5068 (Submitted)

Article Subjects > Biomedicine Ibero-american International University > Research > Scientific Production Abierto Inglés Vaccination coverage in Ecuador has decreased since 2013, falling short of the World Health Organization’s vaccination goal. There are several causes for this deficiency in coverage, one of these are lost vaccination opportunities, which are caused when a patient without contraindications postpones, or for other reasons fails to receive a recommended immunization. The objective of this study was to determine the state of knowledge regarding vaccination contraindications among the Metropolitan District of Quito health personnel to assess missed vaccination opportunities. Through this cross-sectional descriptive study, health personnel were surveyed online and asked 18 clinical scenarios which were created to evaluate their knowledge of the true contraindications of vaccination, and measure missed opportunities. A total of 273 surveys were collected; 74% belonged to the public health system, and the rest represented by private practitioners. Of those surveyed, 98.2% of health personnel had improperly denied vaccination at least once. We specifically found vaccinations were incorrectly denied more frequently in cases where the hypothetical patient presented mild or moderate fever cases. The use of corticosteroids, autoimmune diseases, and egg allergy were also incorrectly denied (89%, 71.4%, 72.9%, and 58.6%, respectively). Among the health personnel surveyed, there is an apparent lack of knowledge of the true contraindications of vaccination and differences in knowledge about contraindications according to personnel in charge of administering immunization to children. Our preliminary results suggest that lack of education related to side effects could be biasing medical professionals’ decisions, causing them to unnecessarily delay or deny vaccinations, which likely contributes to explaining low overall vaccination coverage in Quito, the capital city of Ecuador. metadata Andrade-Guerrero, Felipe and Tapia, Adriana and Andrade, Vinicio and Vásconez-González, Jorge and Andrade-Guerrero, José and Noroña-Calvachi, Carlos and Izquierdo Condoy, Juan Sebastian and Yeager, Justin and Ortiz-Prado, Esteban mail UNSPECIFIED (2022) False Contraindications for Vaccinations Result in Sub-Optimal Vaccination Coverage in Quito, Ecuador: A Cross-Sectional Study. Vaccines, 11 (1). p. 60. ISSN 2076-393X

Article Subjects > Biomedicine
Subjects > Physical Education and Sport
Subjects > Nutrition
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Español El presente estudio tiene como objetivo determinar las relaciones entre los valores de funcionalidad motriz, estado nutricional e índices antropométricos de salud en adolescentes chilenos de 12 a 15 años. Estudio de corte transversal con una muestra no probabilística y por conveniencia, con una muestra final de 384 escolares (13,04 ± 0,85 años). Todos los participantes asistieron a dos sesiones de evaluación, donde se les realizó un registro de la historia clínica y una examinación física médica. En la segunda sesión, se realizaron evaluaciones antropométricas y las pruebas consideradas en la batería Functional Movement Screen (FMS). Los resultados muestran un 46,62% de los adolescentes posee sobrepeso y/u obesidad. El score total de FMS fue de 14,29±2,85 y se encontraron diferencias significativas en el IMC (índice de masa corporal) p=0,000 y en el peso p=0,002 según dependencia administrativa. Existe una relación entre FMS y PC (Perímetro de cintura), IMC e ICE (índice cintura estatura) (r=-0,31**p<0,003, r=-0,14**p<0,004 y r=0,38**p<0,003 respectivamente). También se encontró que aquellos escolares que presentan riesgo cardio metabólico también ostentarían un mayor riesgo relacionado con una baja calidad de la funcionalidad motriz. Se concluye que los niveles elevados de parámetros antropométricos de riesgo cardiovascular en especial el exceso de peso y el elevado perímetro de cintura se relacionan con una deficiente funcionalidad motriz. Y por otra parte se generan problemáticas cardiovasculares en esta etapa de la vida sin mayor distinción de sexo y dependencia administraba de los colegios, lo cual hace ver que la mal nutrición y la falta de actividad física impacta de manera transversal a la sociedad. metadata Rodríguez Canales, Carolina and Hinojosa Torres, Claudio and Merellano-Navarro, Eugenio and Barraza-Gómez, Fernando and Hecht-Chau, Gernot mail carolina.rodriguez@unini.org, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Funcionalidad motriz, estado nutricional e índices antropométricos de riesgo cardiometabólico en adolescentes chilenos de 12 a 15 años. Retos: nuevas tendencias en educación f\'\isica, deporte y recreación (45). pp. 400-409.

Thesis Subjects > Biomedicine
Subjects > Teaching
Europe University of Atlantic > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español El Cáncer Cervicouterino es considerado un cáncer que sí se puede prevenir porque tiene un estado pre-invasivo prolongado y se dispone de vacunas, programas para su detección temprana, como los tamizajes y el tratamiento de las lesiones invasivas es eficaz. Su localización y frecuencia, permite su amplio estudio, pero sigue siendo un problema de salud grave. Bolivia tiene una alta incidencia y mortalidad a nivel mundial y representa un problema para la población y el desarrollo, los centros de atención de primer nivel son los que tienen la labor de ser más cercanos a la comunidad y la prevención, la prueba de tamizaje usado para la detección del cáncer de cuello uterino es el Papanicolaou, el porcentaje de pruebas realizadas es muy bajo, muy pocas usuarias acuden a realizarse el estudio, sobre todo la población joven (mujeres en edad fértil), otro de los problemas es el desconocimiento y incumplimiento de los componentes clave de la prevención, por el personal de salud. El objetivo general del presente trabajo es: Diseñar un programa de salud, para fortalecer la prevención de Cáncer Cervicouterino en el Centro de Salud Pacata, contempla un trabajo integral en un centro de primer nivel, donde se debería atender y solucionar la mayoría de las patologías, el trabajo que brinda a la población en contra de este cáncer es reduciendo el riesgo de infección por el Virus de Papiloma Humano (VPH), con información , educación, promoción, sensibilización, vacunación a niñas de 10-12 años contra el VPH y pruebas de Papanicolaou para la detección. Para conocer mejor el problema se realizó un estudio durante tres meses; los resultados dejaron al descubierto falencias tanto por parte de las beneficiarias (miedos, tabú, falta de confianza en el centro de salud, etc.), como del personal de salud (no brindar información oportuna y adecuada, falta de empatía, falta de calidad y calidez en la atención personal reducido, poner en práctica los lineamientos de prevención etc.). El presente proyecto final, tiene un enfoque profesionalizador, es un diseño de proyecto que pretende mejorar la prevención y el control del Cáncer cervicouterino. La población en estudio son mujeres usuarias del centro de salud que accedan a realizar un cuestionario de forma voluntaria y anónima el muestreo es no probabilístico. En los resultados llama la atención el hecho de que un 98% de mujeres si tiene información sobre el cáncer de cuello de útero, pero no acude al centro de salud a realizarse la detección; el 79% conoce el VPH y la prueba de diagnóstico; el 45% se realizó el PAP hace 3 años y el 5% hace 6 meses; el 63% indica que no se realizó el PAP por falta de tiempo; el 81% indica haberse realizado el PAP en otra institución de salud y no en el centro de salud; el 44% indicó que su médico le indicó realizarse el PAP; al 45% de las mujeres les entregaron el resultado del PAP en 1 semana, pero existen muchos casos en los que se demoró mucho más; el 59% indica que la falta de tiempo es un factor que impide realizarse el PAP; el 59% de las usuarias recomienda que exista celeridad en la entrega del resultado del PAP y el 22% indica que aumenten las fichas para la atención médica. Para el control, prevención y detección del cáncer cervicouterino se tiene lineamientos estratégicos, el conocimiento y cumplimiento de estas directrices nos llevaran a disminuir notablemente el Cáncer Cervicouterino en nuestro país. metadata Lima Urquizo de Mamani, Liliam mail lilita_l@hotmail.com (2022) Gestión Integral para la Prevención de Cáncer Cervicouterino en el Centro de Salud Pacata del departamento de Cochabamba-Bolivia. Masters thesis, UNSPECIFIED.

Thesis Subjects > Biomedicine Ibero-american International University > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español Las infecciones nosocomiales en nuestro país son un problema de salud pública ya que eleva la tasa de mortalidad además de significar mayor gasto para el Estado debido al mayor uso de medicamentos, se alarga la estancia hospitalaria, lo que duplica o incluso triplica el gasto que representa la patología por la cual el paciente es hospitalizado. Se llama infección nosocomial a aquella que se produce dentro del ambiente hospitalario después de 48 horas de haber sido ingresado por cualquier tipo de patología. Este estudio se realizó con la revisión de las historias clínicas de los pacientes que fueron hospitalizados en el área de pediatría en el período 2019-2020, ya que con la información obtenida de las mismas se podrá evidenciar el porcentaje de infecciones nosocomiales presentadas y además es importante el tiempo de estancia hospitalaria debido a que para que una infección sea catalogada como nosocomial el paciente debe ser ingresado por más de 48 horas. Además se sabe que todo el personal de salud también se sometía con rigor a todas las medidas de bioseguridad por miedo a contagiarse de COVID 19 o de llevarlo a sus casas, además que el uso correcto de las prendas de protección era supervisado en la unidad hospitalaria y era sancionado en caso de no ser cumplidas , así mismo se implementó un protocolo para el ingreso de los pacientes a la unidad , por lo cual dicho cuidado por parte del personal de salud y de los pacientes se refleja en las historias clínicas donde se espera encontrar una disminución importante de la aparición de infecciones nosocomiales. En relación a la presencia de infecciones nosocomiales de pacientes pediátricos en los años estudiados, encontramos que en el año 2019 (prepandemia) un 55% (55/100) de los pacientes fueron afectados por infecciones nosocomiales, mientras que un 45% (45/100) no fue afectado por esta patología; mientras que en el año 2020 (pandemia) un 20% (20/100) de los pacientes fueron afectados por infecciones nosocomiales, mientras que un 80% (80/100) no fue afectado por esta patología. En este estudio se concluye que las infecciones nosocomiales son una complicación de la estancia hospitalaria prevenible mediante el correcto uso de las medidas de bioseguridad y estas son el lavado de manos constante, uso de alcohol tanto en gel como en su presentación liquida y el uso de la bata quirúrgica y mascarilla. metadata Medina Molina, Cynthia Estefania mail cynthiamedinamolina@outlook.com (2022) Influencia de las medidas de bioseguridad implementadas por la pandemia COVID19 en la disminución de infecciones nosocomiales en el área de hospitalización de Pediatría en el Hospital General Guasmo Sur, en el período 2019-2020. Masters thesis, UNSPECIFIED.

Thesis Subjects > Biomedicine
Subjects > Physical Education and Sport
Subjects > Psychology
Europe University of Atlantic > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español Este trabajo tiene como propósito presentar la neurociencia aplicada al desarrollo de la capacidad de reacción en el proceso de formación de porteros, ya que este enfoque es el que orienta en la actualidad el entrenamiento deportivo, debido a las grandes posibilidades que se abren para perfeccionar las capacidades físicas y cognitivas de quienes se preparan para obtener un alto rendimiento. La neurociencia aplicada al deporte se basa en evidencias científicas que validan su aporte en la preparación de los porteros y sobre todo que incorporan una perspectiva integral del ser humano, hecho que no separa la formación física, emocional de la y cognitiva. Es decir, que se asume la formación dando la importancia a todas las dimensiones, de tal manera que el portero perfeccione no sólo sus cualidades físicas, sino también las cognitivas, aquellas que le permiten conjugar la toma de decisiones en el ejercicio de sus habilidades corporales. (Barilari, 2017)Como componente práctico de la neurociencia que estudia las acciones cerebrales, se hace visible el plan de trabajo con la Escuela de Porteros Piter Vargas, en donde, con una visión amplia de la formación de niños y jóvenes, se implementan actividades de rutina para el mejoramiento del rendimiento deportivo a nivel de reacción, percepción visual, toma de decisiones, concentración y de más funciones que se estimulan con las rutinas. metadata Vargas Bocanegra, John Piter mail danimati0112@hotmail.com (2022) La Neurociencia aplicada al desarrollo de la capacidad de reacción en el proceso de formación de porteros. Masters thesis, UNSPECIFIED.

Article Subjects > Biomedicine Ibero-american International University > Research > Scientific Production Abierto Inglés Background: Several reports from around the world have reported that some patients who have recovered from COVID-19 have experienced a range of persistent or new clinical symptoms after a SARS-CoV-2 infection. These symptoms can last from weeks to months, impacting everyday functioning to a significant number of patients. Methods: A cross-sectional analysis based on an online, self-reporting questionnaire was conducted in Ecuador from April to July 2022. Participants were invited by social media, radio, and TV to voluntarily participate in our study. A total of 2103 surveys were included in this study. We compared socio-demographic variables and long-term persisting symptoms at low (<2500 m) and high altitude (>2500 m). Results: Overall, 1100 (52.3%) responders claimed to have Long-COVID symptoms after SARS-CoV-2 infection. Most of these were reported by women (64.0%); the most affected group was young adults between 21 to 40 years (68.5%), and most long-haulers were mestizos (91.6%). We found that high altitude residents were more likely to report persisting symptoms (71.7%) versus those living at lower altitudes (29.3%). The most common symptoms were fatigue or tiredness (8.4%), hair loss (5.1%) and difficulty concentrating (5.0%). The highest proportion of symptoms was observed in the group that received less than 2 doses. Conclusions: This is the first study describing post-COVID symptoms’ persistence in low and high-altitude residents. Our findings demonstrate that women, especially those aging between 21–40, are more likely to describe Long-COVID. We also found that living at a high altitude was associated with higher reports of mood changes, tachycardia, decreased libido, insomnia, and palpitations compared to lowlanders. Finally, we found a greater risk to report Long-COVID symptoms among women, those with previous comorbidities and those who had a severer acute SARS-CoV-2 infection. metadata Izquierdo Condoy, Juan Sebastian and Fernandez-Naranjo, Raul and Vasconez-González, Eduardo and Cordovez, Simone and Tello-De-la-Torre, Andrea and Paz, Clara and Delgado-Moreira, Karen and Carrington, Sarah and Viscor, Ginés and Ortiz-Prado, Esteban mail UNSPECIFIED (2022) Long COVID at Different Altitudes: A Countrywide Epidemiological Analysis. International Journal of Environmental Research and Public Health, 19 (22). p. 14673. ISSN 1660-4601

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Mobility and low energy consumption are considered the main requirements for wireless body area sensor networks (WBASN) used in healthcare monitoring systems (HMS). In HMS, battery-powered sensor nodes with limited energy are used to obtain vital statistics about the body. Hence, energy-efficient schemes are desired to maintain long-term and steady connectivity of the sensor nodes. A sheer amount of energy is consumed in activities such as idle listening, excessive transmission and reception of control messages, packet collisions and retransmission of packets, and poor path selection, that may lead to more energy consumption. A combination of adaptive scheduling with an energy-efficient protocol can help select an appropriate path at a suitable time to minimize the control overhead, energy consumption, packet collision, and excessive idle listening. This paper proposes a region-based energy-efficient multipath routing (REMR) approach that divides the entire sensor network into clusters with preferably multiple candidates to represent each cluster. The cluster representatives (CRs) route packets through various clusters. For routing, the energy requirement of each route is considered, and the path with minimum energy requirements is selected. Similarly, end-to-end delay, higher throughput, and packet-delivery ratio are considered for packet routing. metadata Akbar, Shuja and Mehdi, Muhammad Mohsin and Jamal, M. Hasan and Raza, Imran and Hussain, Syed Asad and Breñosa, Jose and Martínez Espinosa, Julio César and Pascual Barrera, Alina Eugenia and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, alina.pascual@unini.edu.mx, UNSPECIFIED (2022) Multipath Routing in Wireless Body Area Sensor Network for Healthcare Monitoring. Healthcare, 10 (11). p. 2297. ISSN 2227-9032

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The prevalence of anxiety among university students is increasing, resulting in the negative impact on their academic and social (behavioral and emotional) development. In order for students to have competitive academic performance, the cognitive function should be strengthened by detecting and handling anxiety. Over a period of 6 weeks, this study examined how to detect anxiety and how Mano Shakti Yoga (MSY) helps reduce anxiety. Relying on cardiac signals, this study follows an integrated detection-estimation-reduction framework for anxiety using the Intelligent Internet of Medical Things (IIoMT) and MSY. IIoMT is the integration of Internet of Medical Things (wearable smart belt) and machine learning algorithms (Decision Tree (DT), Random Forest (RF), and AdaBoost (AB)). Sixty-six eligible students were selected as experiencing anxiety detected based on the results of self-rating anxiety scale (SAS) questionnaire and a smart belt. Then, the students were divided randomly into two groups: experimental and control. The experimental group followed an MSY intervention for one hour twice a week, while the control group followed their own daily routine. Machine learning algorithms are used to analyze the data obtained from the smart belt. MSY is an alternative improvement for the immune system that helps reduce anxiety. All the results illustrate that the experimental group reduced anxiety with a significant (p < 0.05) difference in group × time interaction compared to the control group. The intelligent techniques achieved maximum accuracy of 80% on using RF algorithm. Thus, students can practice MSY and concentrate on their objectives by improving their intelligence, attention, and memory. metadata Pal, Rishi and Adhikari, Deepak and Heyat, Md Belal Bin and Guragai, Bishal and Lipari, Vivian and Brito Ballester, Julién and De la Torre Díez, Isabel and Abbas, Zia and Lai, Dakun mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, julien.brito@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) A Novel Smart Belt for Anxiety Detection, Classification, and Reduction Using IIoMT on Students’ Cardiac Signal and MSY. Bioengineering, 9 (12). p. 793. ISSN 2306-5354

Article Subjects > Biomedicine Ibero-american International University > Research > Scientific Production Abierto Inglés Objective To compare the predictive value of the quick COVID-19 Severity Index (qCSI) and the National Early Warning Score (NEWS) for 90-day mortality amongst COVID-19 patients. Methods Multicenter retrospective cohort study conducted in adult patients transferred by ambulance to an emergency department (ED) with suspected COVID-19 infection subsequently confirmed by a SARS-CoV-2 test (polymerase chain reaction). We collected epidemiological data, clinical covariates (respiratory rate, oxygen saturation, systolic blood pressure, heart rate, temperature, level of consciousness and use of supplemental oxygen) and hospital variables. The primary outcome was cumulative all-cause mortality during a 90-day follow-up, with mortality assessment monitoring time points at 1, 2, 7, 14, 30 and 90 days from ED attendance. Comparison of performances for 90-day mortality between both scores was carried out by univariate analysis. Results From March to November 2020, we included 2,961 SARS-CoV-2 positive patients (median age 79 years, IQR 66–88), with 49.2% females. The qCSI score provided an AUC ranging from 0.769 (1-day mortality) to 0.749 (90-day mortality), whereas AUCs for NEWS ranging from 0.825 for 1-day mortality to 0.777 for 90-day mortality. At all-time points studied, differences between both scores were statistically significant (p < .001). Conclusion Patients with SARS-CoV-2 can rapidly develop bilateral pneumonias with multiorgan disease; in these cases, in which an evacuation by the EMS is required, reliable scores for an early identification of patients with risk of clinical deterioration are critical. The NEWS score provides not only better prognostic results than those offered by qCSI at all the analyzed time points, but it is also better suited for COVID-19 patients. metadata Martín-Rodríguez, Francisco and Sanz-García, Ancor and Ortega, Guillermo J. and Delgado-Benito, Juan F. and Garcia Villena, Eduardo and Mazas Pérez-Oleaga, Cristina and López-Izquierdo, Raúl and Castro Villamor, Miguel A. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, eduardo.garcia@uneatlantico.es, cristina.mazas@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) One-on-one comparison between qCSI and NEWS scores for mortality risk assessment in patients with COVID-19. Annals of Medicine, 54 (1). pp. 646-654. ISSN 0785-3890

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Cerrado Inglés Cactus has been used in traditional folk medicine because of its role in treating a number of diseases and conditions. Prickly pear fruit is an excellent source of secondary metabolites (i.e., betalains, flavonoids, and ascorbic acid) with health-promoting properties against many common human diseases, including diabetes, hypertension, hypercholesterolemia, rheumatic pain, gastric mucosa diseases and asthma. In addition, prickly pears are potential candidates for the development of low-cost functional foods because they grow with low water requirements in arid regions of the world. This review describes the main bioactive compounds found in this fruit and shows the in vitro and some clinical studies about the fruit of most important cactus (Opuntia ficus-indica) and its relationship with some chronic diseases. Even though a lot of effort have been done to study the relationship between this fruit and the human health, more studies on Opuntia ficus-indica could help better understand its pharmacological mechanism of action to provide clear scientific evidence to explain its traditional uses, and to identify its therapeutic potential in other diseases. metadata Armas Diaz, Yasmany and Machì, Michele and Salinari, Alessia and Mazas Pérez-Oleaga, Cristina and Martínez López, Nohora Milena and Briones Urbano, Mercedes and Cianciosi, Danila mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es, nohora.martinez@uneatlantico.es, mercedes.briones@uneatlantico.es, UNSPECIFIED (2022) Prickly pear fruits from "Opuntia ficus-indica" varieties as a source of potential bioactive compounds in the Mediterranean diet. Mediterranean Journal of Nutrition and Metabolism, 15 (4). pp. 581-592. ISSN 1973798X

Thesis Subjects > Biomedicine
Subjects > Psychology
Subjects > Social Sciences
Europe University of Atlantic > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español Los colaboradores del área de producción de una empresa industrial están expuestos a múltiples factores de riesgo que pueden perjudicar su productividad. Es por esto que se hace necesario determinar los principales factores de riesgo en el área de producción de la empresa mediante un análisis de las condiciones laborales que permita mejorar la productividad y la eficiencia de los procesos. Las empresas industriales están expuestas a múltiples riesgos que pueden representan pérdidas significativas en términos económicos, además de exponer a los trabajadores a condiciones peligrosas para su integridad física y mental. Se hace necesario diseñar un ambiente laboral que permita incrementar la eficiencia de los procesos y garantizar la integridad de cada uno de los involucrados en la gestión de los mismos. Las actividades de seguridad e higiene son elementos que se necesitan para asegurar la disponibilidad de las habilidades y actitudes de los colaboradores. Actualmente, la salud y seguridad de los empleados constituye una de las principales actividades en la prevención adecuada de la fuerza laboral. Por lo tanto, métodos adecuados de trabajo, donde estén claramente definidas, las condiciones de trabajo y una estrategia para la de prevención de riesgos laborales de acuerdo a sus necesidades. La presente investigación tiene un carácter descriptivo. El tipo de análisis que se utilizará es la acción participativa en la investigación. Por otra parte, la población a estudiar corresponde a los colaboradores de la empresa industrial que se eligió para el proyecto. Esta población es de aproximadamente 120 empleados en total. De aquí se tomará la muestra correspondiente. Dicha muestra se obtendrá mediante un muestreo probabilístico. Una vez elegida, se procederá a recolectar los datos y a detallar los resultados obtenidos. De tal manera que se puedan proponer acciones de mejora para los procesos de la empresa. metadata Areiza Roman, Yamile Tatiana mail tatayami23@hotmail.com (2022) Principales factores de riesgo a los que están expuestos los colaboradores del área de producción de una empresa industrial. Masters thesis, Universidad Europea del Atlántico.

Thesis Subjects > Biomedicine Ibero-american International University > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español Introducción: La satisfacción del usuario es un indicador de la calidad de la atención brindada y es importante evaluarla e identificar áreas de mejora para optimizar la calidad asistencial. Las investigaciones sobre este tema han mostrado recientemente la fidelidad en la atención, por ende, el presente estudio estuvo enfocado en describir la satisfacción de los usuarios hospitalizados en el Instituto de Neurociencias de la ciudad de Guayaquil, Ecuador en los años 2019 y 2020.Metodología: La investigación se desarrolló bajo una metodología cuantitativa tipo transversal dirigida a 1801 sujetos hospitalizados en el Instituto de Neurociencias de la ciudad de Guayaquil durante el periodo 2019 y 2020 a través de 2 cuestionarios estructurados para evaluar el nivel de satisfacción de los pacientes, los cuales fueron analizados a través del programa SPSS y Excel para los resultados estadísticos. Resultados: elementos tangibles: satisfechos en un 46,1% vs 18% insatisfechos, empatía con un 42,4% de pacientes satisfechos vs 15,3% insatisfechos. Fiabilidad, 36,1% vs 18% insatisfechos. Capacidad de respuesta: 39% vs 16,3% insatisfechos y elementos de seguridad el 39,5% de los usuarios estuvieron satisfechos vs 17,8% insatisfechos. Conclusiones: En términos generales se puede deducir que, el nivel de satisfacción expresado por los pacientes en el presente estudio estuvo relacionado con el cuidado y la atención recibida, el cual caracteriza a la institución como un centro sanitario que proporciona calidad asistencial, sin embargo, requiere de nuevas mejoras en las áreas vulneradas. metadata Estrella Almeida, Diego Javier mail djeadiego@hotmail.com (2022) Satisfacción de los usuarios hospitalizados en el Instituto de Neurociencias de la ciudad de Guayaquil, Ecuador en los años 2019 y 2020. Masters thesis, UNSPECIFIED.

Article Subjects > Biomedicine Ibero-american International University > Research > Scientific Production Abierto Inglés COVID-19 made its debut as a pandemic in 2020; since then, more than 607 million cases and at least 6.5 million deaths have been reported worldwide. While the burden of disease has been described, the long-term effects or chronic sequelae are still being clarified. The aim of this study was to present an overview of the information available on the sequelae of COVID-19 in people who have suffered from the infection. A systematic review was carried out in which cohort studies, case series, and clinical case reports were included, and the PubMed, Scielo, SCOPUS, and Web of Science databases were extracted. Information was published from 2020 to 1 June 2022, and we included 26 manuscripts: 9 for pulmonary, 6 for cardiac, 2 for renal, 8 for neurological and psychiatric, and 6 for cutaneous sequelae. Studies showed that the most common sequelae were those linked to the lungs, followed by skin, cutaneous, and psychiatric alterations. Women reported a higher incidence of the sequelae, as well as those with comorbidities and more severe COVID-19 history. The COVID-19 pandemic has not only caused death and disease since its appearance, but it has also sickened millions of people around the globe who potentially suffer from serious illnesses that will continue to add to the list of health problems, and further burden healthcare systems around the world. metadata Vásconez-González, Jorge and Izquierdo Condoy, Juan Sebastian and Fernandez-Naranjo, Raul and Ortiz-Prado, Esteban mail UNSPECIFIED (2022) A Systematic Review and Quality Evaluation of Studies on Long-Term Sequelae of COVID-19. Healthcare, 10 (12). p. 2364. ISSN 2227-9032

Thesis Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español De acuerdo con el Decreto 1072 de 2015 el empleador o contratante debe aplicar una metodología para identificar los peligros y evaluar los riesgos en seguridad y salud en el trabajo, con la finalidad de que puedan priorizar y establecer los controles necesarios. Esta metodología debe ser sistemática, que tenga alcance sobre todos los procesos, actividades y centros de trabajo de la empresa, así como de los trabajadores independientemente de su forma de contratación o vinculación. El presente proyecto de investigación es un estudio de caso enfocado a un taller de Ebanistería en la ciudad de Sincelejo Sucre, debido a que existen muchos talleres de ebanistería de carácter familiar en los hogares, siendo estos la principal fuente económica de ingresos, sin embargo, estos talleres no cuentan con formación y entrenamiento en materia de prevención de riesgos laborales. El objetivo general del estudio es valorar los riesgos laborales para el establecimiento de medidas de intervención y control de los peligros presentes en un taller de Ebanistería de la ciudad de Sincelejo, Sucre. La metodología utilizada fue cualitativa con diseño de investigación descriptivo de tipo investigación acción y de corte transversal. Los peligros identificados fueron: físicos, químicos, biológicos, biomecánicos, psicosociales, de seguridad, tales como eléctricos, mecánicos, locativos en niveles de riesgo alto y muy alto con criterios no aceptables o aceptables con control especifico. De acuerdo con los resultados, se establecieron medidas de intervención como sustitución, controles de ingeniería, administrativos y elementos de protección personal. En las actividades de ebanistería y carpintería, las medidas preventivas frente a los riesgos son bajas o nulas, conllevando a que los trabajadores sean vulnerables y mayormente expuestos a los peligros, debido a que, por ser talleres informales en casa desconocen los riesgos y consecuencias que trae consigo las tareas propias de la transformación de la madera, la utilización de herramientas, máquinas y equipos con alta peligrosidad. Por tal razón es importante que se implementen medidas de prevención y control de los peligros a los cuales están expuestos los trabajadores, así como la capacitación y entrenamiento en la promoción de conductas de autocuidado. metadata Gonzalez Monterrosa, Ana Isabel mail ana-isa-26@hotmail.com (2022) Valoración de riesgos laborales para el establecimiento de medidas de intervención y control de los peligros en un taller de Ebanistería de la ciudad de Sincelejo, Sucre. Masters thesis, UNSPECIFIED.

Article Subjects > Biomedicine
Subjects > Social Sciences
Ibero-american International University > Research > Scientific Production Abierto Inglés Background Despite worldwide progress in terms of clean water supply, sanitation, and hygiene knowledge, some middle and most of low-income countries are still experiencing many diseases transmitted using unsafe water and the lack of sanitation. Methods To understand the impact of all waterborne diseases (WBD) registered in Ecuador. We performed a population-based analysis of all cases and deaths due to WBD in Ecuador based on the national public databases of hospital discharges as a proxy of incidence, in-hospital mortality, and countrywide general mortality rates from 2011 to 2020. Results In Ecuador, mestizos (mixed European and Indigenous American ancestry) had the greatest morbidity rate (141/100,000), followed by indigenous (63/100,000) and self-determined white patients (21/100,000). However, in terms of mortality, indigenous population have the greatest risk and rates, having a 790% additional mortality rate (2.6/100,000) than the reference group (self-determined white populations) at 0.29/100,000. The burden of disease analysis demonstrated that indigenous had the highest burden of disease caused by WBD with 964 YLL per every 100,000 people while mestizos have 360 YYL per 100,000 and self-determined white Ecuadorians have 109 YYL per 100,000. Conclusions In Ecuador, waterborne diseases (WBD) are still a major public health problem. We found that indigenous population had higher probability of getting sick and die due to WBD than the rest of the ethnic groups in Ecuador. We also found that younger children and the elderly are more likely to be admitted to the hospital due to a WBD. These epidemiological trends are probably associated with the lower life expectancy found among Indigenous than among the rest of the ethnic groups, who die at least, 39 years earlier than the self-determined white populations, 28 years earlier than Afro-Ecuadorians and 12 years earlier than the mestizos. metadata Ortiz-Prado, Esteban and Simbaña-Rivera, Katherine and Cevallos, Gabriel and Gómez-Barreno, Lenin and Cevallos, Domenica and Lister, Alex and Fernandez-Naranjo, Raul and Ríos-Touma, Blanca and Vásconez-González, Jorge and Izquierdo Condoy, Juan Sebastian mail UNSPECIFIED (2022) Waterborne diseases and ethnic-related disparities: A 10 years nationwide mortality and burden of disease analysis from Ecuador. Frontiers in Public Health, 10. ISSN 2296-2565

Article Subjects > Biomedicine
Subjects > Social Sciences
Ibero-american International University > Research > Scientific Production Abierto Inglés Background Despite worldwide progress in terms of clean water supply, sanitation, and hygiene knowledge, some middle and most of low-income countries are still experiencing many diseases transmitted using unsafe water and the lack of sanitation. Methods To understand the impact of all waterborne diseases (WBD) registered in Ecuador, we performed an analysis of all cases and deaths related to WBD to compute incidence and mortality rates. Results We found that in Ecuador, mestizo people had the greatest morbidity rate (141/100,000) patient followed by indigenous (63/100,000) and self-determined white patients (21/100,000). However, in terms of mortality, indigenous population have a 790% increase in mortality rate (2.6 /100,000) when compared to self-determined white populations (0.29/100,000) or 176% more when compared to mestizos (0.94/100,000). This trend remains the same among children and the elderly who have higher mortality rates when compared to other ethnic groups. Conclusions In Ecuador, water borne diseases (WBD) are still a major public health problem. We found that younger children and elderly are more likely to be get sick and die due to water borne diseases. In terms of morbidity, mestizos reported the highest rate, while in terms of mortality, indigenous populations are the most affected, having the highest mortality among different ethnic groups. We hypostatize that reduced health care access is linked to fewer reporting incidence rates among indigenous populations but higher mortality rates. metadata Ortiz-Prado, Esteban and Simbaña-Rivera, Katherine and Cevallos-Sierra, Gabriel and Cevallos, Domenica and Lister, Alex and Fernandez-Naranjo, Raul and Ríos-Touma, Blanca and Vasconez, Jorge and Izquierdo Condoy, Juan Sebastian and Gomez-Barreno, Lenin mail UNSPECIFIED (2022) Waterborne diseases as an indicator of health disparities: A nationwide study of WaSH related morbidity and mortality in Ecuador from 2011-2020. Research square. (Unpublished)

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Magazines
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés White blood cell (WBC) type classification is a task of significant importance for diagnosis using microscopic images of WBC, which develop immunity to fight against infections and foreign substances. WBCs consist of different types, and abnormalities in a type of WBC may potentially represent a disease such as leukemia. Existing studies are limited by low accuracy and overrated performance, often caused by model overfit due to an imbalanced dataset. Additionally, many studies consider a lower number of WBC types, and the accuracy is exaggerated. This study presents a hybrid feature set of selective features and synthetic minority oversampling technique-based resampling to mitigate the influence of the above-mentioned problems. Furthermore, machine learning models are adopted for being less computationally complex, requiring less data for training, and providing robust results. Experiments are performed using both machine- and deep learning models for performance comparison using the original dataset, augmented dataset, and oversampled dataset to analyze the performances of the models. The results suggest that a hybrid feature set of both texture and RGB features from microscopic images, selected using Chi2, produces a high accuracy of 0.97 with random forest. Performance appraisal using k-fold cross-validation and comparison with existing state-of-the-art studies shows that the proposed approach outperforms existing studies regarding the obtained accuracy and computational complexity. metadata Rustam, Furqan and Aslam, Naila and De La Torre Díez, Isabel and Khan, Yaser Daanial and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images. Healthcare, 10 (11). p. 2230. ISSN 2227-9032

2021

Thesis Subjects > Biomedicine Ibero-american International University > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español La presente investigación, evidencia como problemática el bajo rendimiento del personal de enfermería en el cuidado directo de los usuarios, por lo cual, es necesario que se plantee el conocimiento científico necesario del estrés laboral en el personal de enfermería del servicio de Neurología del Hospital de Especialidades Carlos Andrade Marín con el que se desarrolle un plan que sirva como estrategia preventiva para disminuir o prevenir el estrés laboral en el personal de enfermería en la ciudad de Quito, Ecuador en el periodo de Mayo – Noviembre 2021. La metodología se basa en un enfoque cuantitativo de corte transversal que permitió que los resultados sean analizados de manera numérica por lo que se lo realizo un criterio descriptivo, así mismo, para la obtención de información de la presente investigación se aplicó una encuesta personal a 20 licenciadas de enfermería entre 30 – 60 años, que laboran en el servicio de Neurología que fue objeto de estudio para posteriormente analizarlas. De este modo se determinó que diferentes factores inciden y provocan estrés en el personal. El 55% del personal afirmó que cualquier organización bajo condiciones estresantes en el lugar de trabajo afecta sus resultados de producción, siendo menos competitivo en el mercado y conlleva consecuencias como falta de dedicación y fallas en el desempeño. Concluyendo que si presentan estrés laboral por la intervención de los factores psicosociales como síntomas deficientes que afectan a las enfermeras en su gestión laboral producto de las cargas excesivas de trabajo, gestión deficiente de la organización y la comunicación. metadata Simaliza Romero, Maria Teresa mail maytere88@gmail.com (2021) Plan estratégico preventivo para reducir el estrés laboral en el personal de enfermería del servicio de Neurología del Hospital de Especialidades Carlos Andrade Marín de la ciudad de Quito en el periodo de Mayo – Noviembre 2021. Masters thesis, Universidad Internacional Iberoamericana México.

2015

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés In the last decade, specific dietary patterns, mainly characterized by high consumption of vegetables and fruits, have been proven beneficial for the prevention of both metabolic syndrome (MetS)-related dysfunctions and neurodegenerative disorders, such as Alzheimer’s disease (AD). Nowadays, neuroimaging readouts can be used to diagnose AD, investigate MetS effects on brain functionality and anatomy, and assess the effects of dietary supplementations and nutritional patterns in relation to neurodegeneration and AD-related features. Here we review scientific literature describing the use of the most recent neuroimaging techniques to detect AD- and MetS-related brain features, and also to investigate associations between consolidated dietary patterns or nutritional interventions and AD, specifically focusing on observational and intervention studies in humans. metadata Pistollato, Francesca and Sumalla Cano, Sandra and Elío Pascual, Iñaki and Masías Vergara, Manuel and Giampieri, Francesca and Battino, Maurizio mail francesca.pistollato@uneatlantico.es, sandra.sumalla@uneatlantico.es, inaki.elio@uneatlantico.es, manuel.masias@uneatlantico.es, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es (2015) The Use of Neuroimaging to Assess Associations Among Diet, Nutrients, Metabolic Syndrome, and Alzheimer’s Disease. Journal of Alzheimer's Disease, 48 (2). pp. 303-318. ISSN 13872877

This list was generated on Thu Apr 11 23:41:18 2024 UTC.

<a class="ep_document_link" href="/10290/1/Influence%20of%20E-learning%20training%20on%20the%20acquisition%20of%20competences%20in%20basketball%20coaches%20in%20Cantabria.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

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Influence of E-learning training on the acquisition of competences in basketball coaches in Cantabria

The main aim of this study was to analyse the influence of e-learning training on the acquisition of competences in basketball coaches in Cantabria. The current landscape of basketball coach training shows an increasing demand for innovative training models and emerging pedagogies, including e-learning-based methodologies. The study sample consisted of fifty students from these courses, all above 16 years of age (36 males, 14 females). Among them, 16% resided outside the autonomous community of Cantabria, 10% resided more than 50 km from the city of Santander, 36% between 10 and 50 km, 14% less than 10 km, and 24% resided within Santander city. Data were collected through a Google Forms survey distributed by the Cantabrian Basketball Federation to training course students. Participation was voluntary and anonymous. The survey, consisting of 56 questions, was validated by two sports and health doctors and two senior basketball coaches. The collected data were processed and analysed using Microsoft® Excel version 16.74, and the results were expressed in percentages. The analysis revealed that 24.60% of the students trained through the e-learning methodology considered themselves fully qualified as basketball coaches, contrasting with 10.98% of those trained via traditional face-to-face methodology. The results of the study provide insights into important characteristics that can be adjusted and improved within the investigated educational process. Moreover, the study concludes that e-learning training effectively qualifies basketball coaches in Cantabria.

Producción Científica

Josep Alemany Iturriaga mail josep.alemany@uneatlantico.es, Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es, Javier Jorge mail , Kamil Giglio mail ,

Alemany Iturriaga

<a class="ep_document_link" href="/11592/1/fchem-12-1361980.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

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Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning

Background and objectives: As microbes are developing resistance to antibiotics, natural, botanical drugs or traditional herbal medicine are presently being studied with an eye of great curiosity and hope. Hence, complementary and alternative treatments for uncomplicated pelvic inflammatory disease (uPID) are explored for their efficacy. Therefore, this study determined the therapeutic efficacy and safety of Sesamum indicum Linn seeds with Rosa damascena Mill Oil in uPID with standard control. Additionally, we analyzed the data with machine learning. Materials and methods: We included 60 participants in a double-blind, double-dummy, randomized standard-controlled study. Participants in the Sesame and Rose oil group (SR group) (n = 30) received 14 days course of black sesame powder (5 gm) mixed with rose oil (10 mL) per vaginum at bedtime once daily plus placebo capsules orally. The standard group (SC), received doxycycline 100 mg twice and metronidazole 400 mg thrice orally plus placebo per vaginum for the same duration. The primary outcome was a clinical cure at post-intervention for visual analogue scale (VAS) for lower abdominal pain (LAP), and McCormack pain scale (McPS) for abdominal-pelvic tenderness. The secondary outcome included white blood cells (WBC) cells in the vaginal wet mount test, safety profile, and health-related quality of life assessed by SF-12. In addition, we used AdaBoost (AB), Naïve Bayes (NB), and Decision Tree (DT) classifiers in this study to analyze the experimental data. Results: The clinical cure for LAP and McPS in the SR vs SC group was 82.85% vs 81.48% and 83.85% vs 81.60% on Day 15 respectively. On Day 15, pus cells less than 10 in the SR vs SC group were 86.6% vs 76.6% respectively. No adverse effects were reported in both groups. The improvement in total SF-12 score on Day 30 for the SR vs SC group was 82.79% vs 80.04% respectively. In addition, our Naive Bayes classifier based on the leave-one-out model achieved the maximum accuracy (68.30%) for the classification of both groups of uPID. Conclusion: We concluded that the SR group is cost-effective, safer, and efficacious for curing uPID. Proposed alternative treatment (test drug) could be a substitute of standard drug used for Female genital tract infections.

Producción Científica

X. Sumbul mail , Arshiya Sultana mail , Md Belal Bin Heyat mail , Khaleequr Rahman mail , Faijan Akhtar mail , Saba Parveen mail , Mercedes Briones Urbano mail mercedes.briones@uneatlantico.es, Vivian Lipari mail vivian.lipari@uneatlantico.es, Isabel De la Torre Díez mail , Azmat Ali Khan mail , Abdul Malik mail ,

Sumbul

<a class="ep_document_link" href="/11265/1/Food%20Frontiers%20-%202024%20-%20Cassotta%20-%20Human%E2%80%90based%20new%20approach%20methodologies%20to%20accelerate%20advances%20in%20nutrition%20research.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

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Human‐based new approach methodologies to accelerate advances in nutrition research

Much of nutrition research has been conventionally based on the use of simplistic in vitro systems or animal models, which have been extensively employed in an effort to better understand the relationships between diet and complex diseases as well as to evaluate food safety. Although these models have undeniably contributed to increase our mechanistic understanding of basic biological processes, they do not adequately model complex human physiopathological phenomena, creating concerns about the translatability to humans. During the last decade, extraordinary advancement in stem cell culturing, three-dimensional cell cultures, sequencing technologies, and computer science has occurred, which has originated a wealth of novel human-based and more physiologically relevant tools. These tools, also known as “new approach methodologies,” which comprise patient-derived organoids, organs-on-chip, multi-omics approach, along with computational models and analysis, represent innovative and exciting tools to forward nutrition research from a human-biology-oriented perspective. After considering some shortcomings of conventional in vitro and vivo approaches, here we describe the main novel available and emerging tools that are appropriate for designing a more human-relevant nutrition research. Our aim is to encourage discussion on the opportunity to explore innovative paths in nutrition research and to promote a paradigm-change toward a more human biology-focused approach to better understand human nutritional pathophysiology, to evaluate novel food products, and to develop more effective targeted preventive or therapeutic strategies while helping in reducing the number and replacing animals employed in nutrition research.

Producción Científica

Manuela Cassotta mail manucassotta@gmail.com, Danila Cianciosi mail , Maria Elexpuru Zabaleta mail maria.elexpuru@uneatlantico.es, Iñaki Elío Pascual mail inaki.elio@uneatlantico.es, Sandra Sumalla Cano mail sandra.sumalla@uneatlantico.es, Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es,

Cassotta

<a class="ep_document_link" href="/11322/1/journal.pone.0298582.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

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Design and development of patient health tracking, monitoring and big data storage using Internet of Things and real time cloud computing

With the outbreak of the COVID-19 pandemic, social isolation and quarantine have become commonplace across the world. IoT health monitoring solutions eliminate the need for regular doctor visits and interactions among patients and medical personnel. Many patients in wards or intensive care units require continuous monitoring of their health. Continuous patient monitoring is a hectic practice in hospitals with limited staff; in a pandemic situation like COVID-19, it becomes much more difficult practice when hospitals are working at full capacity and there is still a risk of medical workers being infected. In this study, we propose an Internet of Things (IoT)-based patient health monitoring system that collects real-time data on important health indicators such as pulse rate, blood oxygen saturation, and body temperature but can be expanded to include more parameters. Our system is comprised of a hardware component that collects and transmits data from sensors to a cloud-based storage system, where it can be accessed and analyzed by healthcare specialists. The ESP-32 microcontroller interfaces with the multiple sensors and wirelessly transmits the collected data to the cloud storage system. A pulse oximeter is utilized in our system to measure blood oxygen saturation and body temperature, as well as a heart rate monitor to measure pulse rate. A web-based interface is also implemented, allowing healthcare practitioners to access and visualize the collected data in real-time, making remote patient monitoring easier. Overall, our IoT-based patient health monitoring system represents a significant advancement in remote patient monitoring, allowing healthcare practitioners to access real-time data on important health metrics and detect potential health issues before they escalate.

Producción Científica

Md. Milon Islam mail , Imran Shafi mail , Sadia Din mail , Siddique Farooq mail , Isabel de la Torre Díez mail , Jose Breñosa mail josemanuel.brenosa@uneatlantico.es, Julio César Martínez Espinosa mail ulio.martinez@unini.edu.mx, Imran Ashraf mail ,

Islam

<a href="/11426/1/s12967-024-05095-w.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

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Underrated aspects of a true Mediterranean diet: understanding traditional features for worldwide application of a “Planeterranean” diet

Over the last decades, the Mediterranean diet gained enormous scientific, social, and commercial attention due to proven positive effects on health and undeniable taste that facilitated a widespread popularity. Researchers have investigated the role of Mediterranean-type dietary patterns on human health all around the world, reporting consistent findings concerning its benefits. However, what does truly define the Mediterranean diet? The myriad of dietary scores synthesizes the nutritional content of a Mediterranean-type diet, but a variety of aspects are generally unexplored when studying the adherence to this dietary pattern. Among dietary factors, the main characteristics of the Mediterranean diet, such as consumption of fruit and vegetables, olive oil, and cereals should be accompanied by other underrated features, such as the following: (i) specific reference to whole-grain consumption; (ii) considering the consumption of legumes, nuts, seeds, herbs and spices often untested when exploring the adherence to the Mediterranean diet; (iii) consumption of eggs and dairy products as common foods consumed in the Mediterranean region (irrespectively of the modern demonization of dietary fat intake). Another main feature of the Mediterranean diet includes (red) wine consumption, but more general patterns of alcohol intake are generally unmeasured, lacking specificity concerning the drinking occasion and intensity (i.e., alcohol drinking during meals). Among other underrated aspects, cooking methods are rather simple and yet extremely varied. Several underrated aspects are related to the quality of food consumed when the Mediterranean diet was first investigated: foods are locally produced, minimally processed, and preserved with more natural methods (i.e., fermentation), strongly connected with the territory with limited and controlled impact on the environment. Dietary habits are also associated with lifestyle behaviors, such as sleeping patterns, and social and cultural values, favoring commensality and frugality. In conclusion, it is rather reductive to consider the Mediterranean diet as just a pattern of food groups to be consumed decontextualized from the social and geographical background of Mediterranean culture. While the methodologies to study the Mediterranean diet have demonstrated to be useful up to date, a more holistic approach should be considered in future studies by considering the aforementioned underrated features and values to be potentially applied globally through the concept of a “Planeterranean” diet.

Producción Científica

Justyna Godos mail , Francesca Scazzina mail , Corrado Paternò Castello mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, José L. Quiles mail jose.quiles@uneatlantico.es, Mercedes Briones Urbano mail mercedes.briones@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Fabio Galvano mail , Licia Iacoviello mail , Giovanni de Gaetano mail , Marialaura Bonaccio mail , Giuseppe Grosso mail ,

Godos