Documentos donde el Autor es "Ramírez-Sánchez, Miguel Ysrrael"
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Artículo Materias > Ingeniería Universidad Internacional Iberoamericana México > Investigación > Artículos y libros Abierto Portugués As máscaras de protecção facial tornaram de uso obrigatório pela população em geral, nesta época da pandemia de Covid-19 mas a falta de consciência dos danos que advém do descarte incorrecto leva a danos ambientais. Foi proposto como objectivo deste estudo em contribuir os efeitos das máscaras descartáveis quanto a poluição do meio ambiente incentivando o descarte correcto das mesmas. Destaca-se o método de revisão narrativa e acomoda-se como um estudo de natureza qualitativa e teve a observação no local dos acontecimentos e também realizou-se uma busca na base de informações da MEDLINE, SciELO e Google Scholar e não se deixou de fora as recomendações oficiais maioritariamente da Organização Mundial da Saúde. A recolha de informação foi feita com base num questionário. Os resultados desta pesquisa são considerados satisfatório porque respondem aos objectivos traçados para o presente estudo. Concluiu-se que é necessário continuar com as acções de sensibilização da população em matérias de educação ambiental de modo que as pessoas percebam quais são os problemas ambientais que precisam de soluções para que o futuro ambiental não seja prejudicado e ter uma consciência quanto aos impactos ambientais. Continuar também a combater o alastramento da doença e no mínimo reduzir o uso das máscaras descartáveis optando pelo material reciclável como as máscaras caseiras que podem ser reutilizadas. Recomenda-se o descarte das máscaras de forma correcta e que se façam mais pesquisas capazes de educar e sensibilizar as populações sobre a gestão de residuos sólidos. metadata Cade Falume, Abede y Ramírez-Sánchez, Miguel Ysrrael mail SIN ESPECIFICAR (2022) Descarte incorrecto de máscaras em tempo de pandemia de covid-19. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 3 (3). e331236. ISSN 2675-6218
Artículo Materias > Educación Universidad Internacional Iberoamericana México > Investigación > Artículos y libros Abierto Portugués Este trabalho tem como objetivo apresentar os horizontes educacionais da Educação Ambiental Popular (EAP) e da Educação para o Desenvolvimento Sustentável (EDS). Através de uma abordagem hermenêutica, apresenta e discute os fundamentos de cada perspectiva. Uma das conclusões dessa pesquisa bibliográfica é reconhecer a impossibilidade de fundir esses horizontes. Também reconhece a força das políticas neoliberais no alcance dos objetivos das agendas internacionais que, muitas vezes sem aprofundar o debate, oferecem soluções mágicas que não promovem a emancipação. O estudo defende o horizonte da Educação Ambiental Popular (EAP) para a América Latina e o Caribe, considerando um horizonte crítico que problematiza os caminhos colonialistas, reforça a identidade e o pertencimento e se orienta por um projeto coletivo de sociedade muito além da lógica do mercado. Representada nos casos do Brasil e do México, essa educação pode servir de referência para outros contextos em que se busca a transformação da sociedade através da educação. metadata Pereira, Vilmar Alves; Silva, Rodrigo Florêncio da y Ramírez-Sánchez, Miguel Ysrrael mail vilmar.alves@unini.edu.mx, SIN ESPECIFICAR, SIN ESPECIFICAR (2022) Educação ambiental popular na América Latina e Caribe e educação para o desenvolvimento sustentável: incongruências e desafios. Revista Científica FAEMA, 13 (1). pp. 92-113. ISSN 2179-4200
Artículo Materias > Ciencias Sociales Universidad Internacional Iberoamericana México > Investigación > Artículos y libros Abierto Español Este artículo evidencia el impacto resultante del proceso de delimitación de tierras comunitarias en seis comunidades del Regulado de Galinha, en Muanza, de la provincia de Sofala, en Mozambique a través de una revisión bibliográfica para evidenciar que la delimitación de tierras en el regulado surge del contexto de la necesidad de creación de capacidades en las comunidades locales de manera a realizar la gestión sustentable de la tierra y otros recursos naturales como factor para la promoción del desarrollo y fuentes de ingresos para las familias rurales, argumentando también que la delimitación de tierra empodera las comunidades en la organización espacial y en los modelos sustentables de gestión de los recursos naturales. metadata Domingos-Bene, Paulo; Ramírez-Sánchez, Miguel Ysrrael y Florencio da Silva, Rodrigo mail SIN ESPECIFICAR (2019) Delimitación de tierras comunitarias y el empoderamiento de las comunidades. Caso: Regulado de Galinha, Mozambique. CHAKIÑAN, REVISTA DE CIENCIAS SOCIALES Y HUMANIDADES (9). pp. 72-81. ISSN 25506722
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Objectives To describe long-term trends in mortality attributed to community-acquired pneumonia (CAP) in Chile from 1990 to 2021, stratified by age group, and to evaluate associations with selected socioeconomic and demographic indicators. Study design Ecological, observational, longitudinal study using national secondary data. Methods CAP mortality rates were analyzed for the total population and by age group. Associations with the Human Development Index (HDI), poverty rate, aging index, and life expectancy at birth were examined using a hierarchical analytical approach. This included Spearman's rank correlation for initial exploration, multivariable linear regression to assess adjusted associations, and Prais–Winsten generalized least squares regression to account for first-order autocorrelation and shared temporal trends. Stationarity was evaluated using augmented Dickey–Fuller tests, with supplementary analyses using first-differenced variables. Missing data were imputed using time-based regression or interpolation, with sensitivity analyses performed. Results CAP mortality declined substantially across all age groups over the study period. Strong bivariate correlations were observed between mortality and all socioeconomic indicators; however, these associations were attenuated after adjustment for confounding and temporal autocorrelation. In multivariable and time-series models, HDI and the aging index remained significantly associated with CAP mortality in children (0–9 years) and older adults (≥65 years), whereas associations in intermediate age groups were not robust after accounting for shared secular trends. Poverty and life expectancy did not demonstrate independent associations in adjusted models. Conclusions CAP mortality in Chile has decreased markedly over the past three decades. Associations with socioeconomic indicators are strongest at the extremes of age and persist after accounting for temporal structure, although the ecological design precludes causal inference. These findings highlight the importance of considering demographic and socioeconomic context in population-level analyses of infectious disease outcomes.
Italo Salvador López Muñoz mail italo.lopez@doctorado.unini.edu.mx, Maria Loreto Romero Ladrón de Guevara mail , Christian R. Mejia mail , Shyla Del-Aguila-Arcentales mail , Aldo Alvarez-Risco mail , Neal M. Davies mail , Jaime A. Yáñez mail ,
López Muñoz
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An Integrated Machine Learning and Genomic Framework for Precise Detection of Gastric Cancer
This study presents a novel integrative approach for the analysis of high-dimensional gene expression data, leveraging the complementary strengths of unsupervised clustering and supervised classification. Using K-means clustering, the dataset is stratified into three distinct clusters, revealing intrinsic biological patterns and relationships. The resulting cluster assignments are subsequently employed as pseudo-labels to train machine learning models, including support vector machines, random forest, and a stacking ensemble classifier. To validate and enhance the robustness of clustering, complementary methodologies such as hierarchical clustering and DBSCAN are employed, with results visualized through PCA-driven dimensionality reduction. The high predictive accuracy achieved by the classifiers underscores the separability and reliability of the identified clusters. Furthermore, feature importance analysis highlighted key genetic determinants within each cluster, offering actionable insights into potential biomarkers and critical genomic features. This framework bridges the gap between exploratory unsupervised learning and predictive supervised modeling, providing a scalable and interpretable methodology for analyzing complex genomic datasets. Its applicability extends to biomarker discovery, patient stratification, and other precision medicine applications, emphasizing its utility in advancing genomic research and clinical practice.
Eshmal Iman mail , Sohail Jabbar mail , Shabana Ramzan mail , Ali Raza mail , Farwa Raoof mail , Stefanía Carvajal-Altamiranda mail stefania.carvajal@uneatlantico.es, Vivian Lipari mail vivian.lipari@uneatlantico.es, Imran Ashraf mail ,
Iman
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A novel approach for disease and pests detection in potato production system based on deep learning
Vulnerability of potato crops to diseases and pest infestation can affect its quality and lead to significant yield losses. Timely detection of such diseases can help take effective decisions. For this purpose, a deep learning-based object detection framework is designed in this study to identify and classify major potato diseases and pests under real-world field conditions. A total of 2,688 field images were collected from two research farms in Punjab, Pakistan, across multiple growth stages in various seasonal conditions. Excluding 285 symptoms-free images from the earliest collection led to 2,403 images which were annotated into four biotic-stress classes: blight disease (n = 630), leaf spot disease (n = 370), leafroll virus (viral symptom complex; n = 888), and Colorado potato beetle (larvae/adults; n = 515), indicating class imbalance. Several state-of-the-art models were used including YOLOv8 variants (n/s/m), YOLOv7, YOLOv5, and Faster R-CNN, and the results are discussed in relation to recent potato disease classification studies involving cropped leaf images. Stratified splitting (70% training, 20% validation, 10% testing) was applied to preserve class distribution across all subsets. YOLOv8-medium achieve the best performance with mean average precision (mAP)@0.5 of 98% on the held-out test images. Results for stable 5-fold cross-validation show a mean mAP@0.5 of 97.8%, which offers a balance between accuracy and inference time. Model robustness was evaluated using 5-fold cross-validation and repeated training with different random seeds, showing a low variance of ±0.4% mAP. Results demonstrate promising outcomes under the real-world field conditions, while, broader cross-region and cross-season validation is intended for the future.
Ahmed Abbas mail , Saif Ur Rehman mail , Khalid Mahmood mail , Santos Gracia Villar mail santos.gracia@uneatlantico.es, Luis Alonso Dzul López mail luis.dzul@uneatlantico.es, Aseel Smerat mail , Imran Ashraf mail ,
Abbas
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Concern for mpox infection in Latin America
Background Mpox arrived in Latin America and quickly began to replicate, so it is important to measure the concern it generates among residents. The study aims to assess whether country or other factors are associated with concern about mpox infection in Latin America. Methods The study uses a cross-sectional, multicenter design. Sampling was conducted using non-random snowball sampling. From August to September 2022, concern about being infected with mpox was assessed using a previously validated questionnaire (Cronbach's Alpha: 0.85); it was divided into nine countries and other social variables. Results From 1404 respondents, the majority of respondents were female (60.3%) and young (median age 25 years); also, a few reported that it was a significant problem (6% almost all the time and 11% often) and were concerned (6% almost all the time and 11% often) about the possibility of mpox infection. In multivariate analysis, men (aPR: 0.85; 95% CI: 0.73–0.99; p-value=0.046), younger (aPR: 0.98; 95% CI: 0.97–0.99; p-value<0.001), single (aPR: 0.78; 95% CI: 0.62–0.99; p-value=0.042) and, compared to Peru, those living in Colombia (aPR: 0.75; 95% CI. 0.58–0.97; p-value=0.027) and Costa Rica (aPR: 0.65; 95% CI: 0.44–0.96; p-value=0.032) reported the lowest concern; also, Bolivia (aPR: 1.16; 95% CI: 0.94–1.43; p-value=0.176) and Honduras (aPR: 1.01; 95% CI: 0.80–1.27; p-value=0.943) reported that their concerns tend to be higher. Conclusions There were evident differences across respondents' countries; these baseline results show that the first report was made in many countries that were also significantly affected by mpox and now face a new epidemic threatening public health.
Christian R. Mejia mail , Aldo Alvarez-Risco mail , Luciana Daniela Garlisi-Torales mail , Telmo Raúl Aveiro mail , Jamil Cedillo-Balcázar mail , Néstor Valentin Rocha-Saravia mail , Andrea Retana-González mail , Medally C. Paucar mail , Beatriz Mejia Raudales mail , Jose Armada mail , Shyla Del-Aguila-Arcentales mail , Neal M. Davies mail , Jaime A. Yáñez mail jaime.yanez@unini.edu.mx,
Mejia
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Fish consumption and brain structure: a comprehensive systematic review of observational studies
Background Age-related structural changes in the human brain, including cortical atrophy, reductions in grey and white matter volumes, and the accumulation of small vessel–related lesions such as white matter hyperintensities (WMH) and cerebral microbleeds, represent critical biological substrates underlying cognitive decline and dementia. Fish consumption has been associated with slower cognitive decline and reduced risk of dementia, but a comprehensive evaluation of its relation with brain structures is lacking. Aims The aim of this study was to systematically review current scientific literature providing evidence of relation between fish intake and brain structures in human studies. Methods Studies indexed in two major electronic databases have been screened based on a combination of keywords and MeSH terms. Studies were eligible whether they assessed fish consumption in relation to brain structures in the adult populations. Results A total of 24 studies conducted predominantly on older adults met inclusion criteria. Most brain volume measures were obtained via magnetic resonance imaging (MRI) procedures. Higher fish consumption was associated with reduced severity of white matter hyperintensities (a biomarker of cerebral small vessel disease and white matter damage) and cerebral micro-bleed, preservation of certain brain areas volumes (i.e., hippocampus, temporal lobe and periventricle white matter) and cortical thickness of specific areas (i.e., precuneus, parietal, and cingulate grey matter), among others, compared to lower intake. Some analyses found no association and isolated findings suggested possible adverse associations that were not consistently replicated. Studies reporting null findings may underline the possible relevance of the overall diet (i.e., adherence to the Mediterranean diet). Conclusions Inclusion of fish in a healthy and balanced diet is associated with better white matter grades on MRI and slower progression of white matter hyperintensities and reduction of vascular-related lesions of the aging brain, suggesting a potential role in preventing neurocognitive deterioration. Heterogeneity across studies underscores the need for additional studies.
Justyna Godos mail , Giuseppe Caruso mail , Agnieszka Micek mail , Alberto Dolci mail , Zoltan Ungvari mail , Andrea Lehoczki mail , Lisandra León Brizuela mail , Evelyn Frias-Toral mail , Andrea Di Mauro mail , Mario Siervo mail , Michelino Di Rosa mail , Giuseppe Grosso mail ,
Godos