The Autonomous University of Aguascalientes (in Spanish: Universidad Autónoma de Aguascalientes, UAA) is a Mexican public university based in the city of Aguascalientes, Aguascalientes. Aguascalientes City is the capital of the state with the same name and has a population of around one million people. Located in one of the safest and most prosperous areas of Mexico, the city provides an ideal study environment for international students, with fantastic quality of life and significant international communities based here. In particular, the city is noted for having sizeable German, Korean and Japanese communities. The city also has extensive business connections, benefiting from its location and existing infrastructure. Many international companies have bases here, including Nissan, Coca-Cola and Flextronics. Businesses also benefit from investment in fibre optic infrastructure, with the city enjoying the same standards as the country's capital, Mexico City.The Autonomous University of Aguascalientes has several campuses that are located across the state. The university was founded on June 19, 1973, its proceeding institution, The School of Agriculture (in Spanish: Escuela de Agricultura), was founded on January 15, 1867. The Autonomous University of Aguascalientes currently offers 64 different bachelor's degrees, 15 master's degrees and 9 doctoral degrees.Its library is named after poet and university president Desiderio Macías Silva, and holds over 183,063 volumes.The UAA also operates a radio station, XHUAA-FM 94.5, and a television station (UAA TV) available on cable providers in the city..
The objective of this study was to assessing the limiting and optimal temperatures for the development of the free-living stage of Neospora caninum in Aguascalientes under climate change scenarios. Raster climate data on temperature and rainfall were used to examine historical climate trends (1902–2015) and future projection scenarios (2015–2039) in the region. Existing information on the prevalence of anti-N. caninum antibodies in backyard chickens from Aguascalientes, Mexico, was also considered. Spatial distribution was analyzed using the Kernel Density Estimation (KDE) technique. Data processing and geoprocessing were performed with R Project and ArcMap. The distribution analysis of N. caninum showed a widespread presence across the state (78
The current study deals with Sobolev-type equations, which are utilized in numerous disciplines, including thermodynamics, fluid dynamics, ecology, and soil mechanics. In the present manuscript, we investigate Sobolev-type models by means of the modified auxiliary equation (MAE) and the new modified extended direct algebraic (NMEDA) approaches. The results obtained in this report include families of analytical solutions, such as singular solutions, mixed singular solutions, trigonometric solutions, mixed dark-bright solutions, shock solutions, and mixed periodic solutions. The stability of the model has been investigated herein. Additionally, a variety of physical problems were selected to provide a range of solutions. Graphs in 2D, 3D, and line formats corresponding to various parameter values are plotted.
Introduction:The COVID-19 pandemic intensified psychosocial risks, exposing vulnerabilities in labor conditions. Findings aim to inform mental health interventions and workplace policies tailored to industrial workers in post-pandemic settings. Methods:We evaluated the prevalence of occupational stress and associated psychiatric problems, including anxiety, depression, substance use disorders, and burnout among automotive workers, examining COVID-19 as a significant stressor. Participants were workers in the automotive industry (N = 1,020) from two manufacturing plants in Guanajuato, Mexico. We assessed four mental health outcomes: depression, anxiety, substance use disorders, and burnout, using validated instruments. Results:Multinomial logistic regression was used to examine the associations between COVID-19 stressors and mental health symptoms, while adjusting for sociodemographic characteristics. Prevalence rates were 311 (30.5%) for burnout, 299 (29.3%) for anxiety symptoms, 248 (24.3%) for depressive symptoms, and 142 (13.9%) for substance use problems. Experiencing COVID-19 stressors (adjusted odds ratio (AOR): 2.65, 95% CI: 1.26-3.26) and feeling vulnerable to infection (AOR: 3.34, 95% CI: 2.17-4.06) significantly increased the odds of having comorbid anxiety and depressive symptoms, as well as burnout, compared to workers without these stressors. Despite 763 (74.8%) of workers reporting feeling supported by their company to seek psychological help, only 259 (25.3%) had received mental health treatment in the past year. Discussions:These findings demonstrate that COVID-19-related stressors significantly impacted automotive workers' mental health. The substantial gap between symptom prevalence and treatment-seeking, despite perceived workplace support, highlights the need for proactive mental health interventions.
En este trabajo se analizan las trayectorias estudiantiles mediante mezclas de distribuciones de fase discretas acíclicas. El modelo propuesto combina una distribución de Coxian discreta para estimar las probabilidades de deserción en los semestres iniciales y una distribución binomial negativa generalizada para estimar las probabilidades de graduación. Ambas componentes son de fase discreta, lo que da lugar a una nueva variable aleatoria que ofrece un marco probabilístico detallado para comprender las transiciones y los resultados académicos. El modelo se calibra con un ejemplo hipotético y luego se aplica a datos reales de un programa de matemáticas. El enfoque identifica períodos críticos para intervenciones oportunas y ofrece un marco flexible aplicable a diversos contextos educativos. Los hallazgos pueden orientar a las instituciones en el diseño de estrategias focalizadas para mejorar la retención y el éxito estudiantil.
CONTEXT:Sarcopenic obesity (SO) is a complex condition that affects older adults and is characterized by the coexistence of obesity and sarcopenia (loss of muscle mass and strength). This condition represents a challenge for public health due to its negative impact on the quality of life, mobility, and increased risk of comorbidities, such as cardiovascular disease, diabetes, and frailty. Nutrition is crucial in managing and preventing SO; macronutrients (protein, carbohydrates, and fats) may directly influence body composition, muscle mass, and aging metabolism. OBJECTIVE:This systematic review evaluates the available literature on macronutrient distribution and nutritional supplementation strategies in the treatment of SO. DATA SOURCES:Three databases were considered for data analysis: PubMed, Google Scholar, and Cochrane Central. DATA EXTRACTION:The PICOS (Population, Intervention, Comparison, Outcome, Study design) method was used to identify and analyze studies. DATA ANALYSIS:Dietary interventions, macronutrient distribution, and nutritional treatments applied in the included studies were analyzed using narrative thematic synthesis, with findings grouped according to the thematic similarity across studies. For selected quantitative data extracted from the studies, descriptive statistics were used, including mean values and reported minimum and maximum ranges. CONCLUSION:This review underscores the need for personalized nutritional interventions that optimize macronutrient balance and integrate targeted supplementation combined with resistance training to improve the metabolic and functional health of older adults with SO. SYSTEMATIC REVIEW REGISTRATION:PROSPERO no. CRD420251017389.
