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 fungicide Imazalil (IMZ) is widely used to maintain the freshness of fruits and vegetables after harvest. Despite its widespread use, the neurotoxic effects of IMZ remain poorly studied. Thus, in this work, we aimed to investigate the effects of subacute IMZ exposure on memory and learning, as well as on cholinesterase (ChE) activity, in orally exposed rats. To do so, Wistar rats were exposed to doses corresponding to 1/8, 1/4, and 1/2 of the LD50 of IMZ. Each dose was divided into four equal parts and administered once daily for four consecutive days, while behavioral performance was assessed using the Barnes Maze. On day 5, we measured ChE activity in the hippocampus and serum. The enzymatic activity assays demonstrated a dose-dependent decrease in both cholinesterase activities at 1/4 LD50 of IMZ. In addition, rats in the control group exhibited a typical learning curve in the Barnes maze, characterized by reduced latency and fewer attempts to locate the escape box from the first session (S1) to the final session (S4). The typical learning curve was prevented by a 1/4 LD50 treatment. Additionally, this dose prevented an increase in spatial navigation strategy use, observed in the control group (S1 vs. S4). To our knowledge, these results proved that IMZ inhibits in vivo the activity of both brain and serum ChEs, and exhibits evidence of learning and memory impairments, suggesting that IMZ has neurotoxic effects in rats, probably mediated by alterations in the cholinergic system.
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.
