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This paper analyzes the research performance evolution of a scientific institute, from its genesis through various stages of development. The main aim is to obtain, and visually represent, bibliometric evidence of the correlation of organizational changes on the development of its scientific performance; particularly, structural and leadership changes. The study involves six bibliometric indicators to multidimensionally assess the evolution of the institution's performance profile. For a case study, we selected the Renewable Energy Institute at the National Autonomous University of Mexico, created 35 years ago as a small laboratory, then it evolved to a research center and finally to a formal institute, which over the last 8 years changed from the traditional departmental structure to a network-based structure. The evolution of the multidimensional performance profiles is analyzed, and graphically represented, using a novel artificial intelligence-based approach. We analyzed the performance profiles evolution yearly, using Principal Components Analysis, and a self-organizing neural network mapping technique. This approach, combining bibliometric and machine learning techniques, proved to be effective for the assessment of the institution's evolution process. The results were represented with a series of graphs and maps that clearly reveal the magnitude and nature of the performance profile evolution, as well as its correlation with each of the structural and leadership transitions. These exploratory results have provided us data and insights into the probable effects of these transitions on academic performance, that have been useful to create a dynamical model.

A sample of 327 engineering bachelor students from a public university in Mexico took part in an information integration study to explore systematic thinking underlying propensity for cheating during a course exam. All study participants were provided with written descriptions of 12 scenarios pertaining to the academic evaluation criteria and were asked to rate the likelihood that they would cheat under such circumstances. The 12 scenarios reflected the experimental manipulation of three orthogonal factors: teacher's teaching style, type of exam, and modality of assessment. Analysis results revealed four distinct attitudes toward cheating among students, two of which were independent of context (low and high desire to cheat) while the remaining two were context-dependent (low and moderate desire to cheat). All groups showed systematic thinking underlying their possible desire to cheat that was typified by the use of a summative cognitive rule for integrating information related to academic cheating. However, evaluation of factor relevance varied across the groups.

In a globalized and media society with unprecedented technological development, institutions of higher education are adapting their training models to face this new challenge. This study aimed to determine students' self-perception of their media competence and the differential influence of an ecosystemic model of training that is being implemented experimentally. The research methodology is mixed, as both a quantitative (descriptive and inferential analysis) as well as a qualitative analysis (are made of the contents of the open reports). A total of 808 university students enrolled in the 2015-16 course in different university centres and countries (Faculty of Teacher Training and Education, and Faculty of Economics-Business of University of Oviedo (Spain) and Technological Institute of Mexico), completed a questionnaire about media competence and wrote open reports about their experience with ecosystemic models. The results showed that university students have a favorable self-perception of their level of media competence, and they consider it important to develop by means of transversal training and ecosystemic training models. Significant differences between the students of the different degrees also emerged depending on whether or not an ecosystemic approach was used to develop the subjects. In conclusion, the study shows that these models favor teaching-learning processes in the university by adapting the technology to the users and improving their media competence.

The Mexican Health and Aging Study (MHAS) is one of the largest ongoing longitudinal studies of aging in Latin America, with six waves over 20 years. MHAS includes sociodemographic, economic, and health data from a nationally representative sample of adults 50 years and older in urban and rural Mexico. MHAS is designed to study the impact of diseases on adults' health, function, and mortality. As Mexico is experiencing rapid population aging, providing adequate information to study this phenomenon is vital for designing and implementing public policies. The availability of biomarker and genetic data and longitudinal survey data elevates opportunities for research on aging in a low–middle-income country. This manuscript describes the profile of biomarkers and genetic data available in the MHAS study, including sample sizes and sociodemographic characteristics of participants who provided biospecimens for biomarker analyses, emphasizing recent genetic data. The sample size of individuals with anthropometric biomarkers was 2   707 (Wave 1—2001), 2   361 (Wave 2—2003), 2   086 (Wave 3—2012), and 2   051 (2016). Capillary blood samples were collected from 2   063 participants in 2012 (Wave 3) and 1   141 in 2016. Venous blood samples for blood-based biomarkers were collected from 2   003 participants in 2012 (Wave 3) and 752 in 2016. Venous blood samples were also collected for genetic data from 2   010 participants in 2012 (Wave 3) and 750 in 2016. A total of 7   821 participants provided saliva in 2018, and 2   671 provided hair in 2018. From these samples, a total of 7   204 have genome-wide genetic data, 8   600 have apolipoprotein-E genotype data, and 7   156 have genetic ancestry data. [ABSTRACT FROM AUTHOR]

Copyright of Contaduría y Administración is the property of Facultad de Contaduria y Administracion-Universidad Nacional Autonoma de Mexico and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objectives Diabetes prevalence has increased markedly in Mexico. We examined the individual and joint contributions of economic disadvantage during childhood (EDDC) and elevated body weight on diabetes prevalence in 3 cohorts of Mexican adults. Methods Data on those 60–69 years old from the 1930–1939, 1940–1949, and 1950–1959 birth cohorts in Waves 1 (2001), 3 (2012), and 5 (2018) of the Mexican Health and Aging Study were used. EDDC was defined as the absence of a toilet in the household before age 10. Body mass status was defined using self-reported perceived body image at age 50. Diabetes was based on respondent reports. Supplementary analyses using HbA1c as a criterion for diabetes were conducted. A regression-decomposition approach was implemented. Logistic regression models included adjustments for sociodemographic characteristics and access to medical care. Results Diabetes prevalence was 23% overall and 11%, 25%, and 26% in the 1930–1939, 1940–1949, and 1950–1959 cohorts, respectively. EDDC declined across successive cohorts, whereas the prevalence of overweight/obesity at age 50 increased. EDDC and overweight/obesity were associated with higher odds of reporting diabetes. A scenario that eliminates disadvantaged EDDC reduced diabetes prevalence by 11% in a pooled sample, while eliminating overweight/obesity reduced it by 30%. Overweight/obesity explained 42% of the rise in diabetes prevalence between the 1930–1939 and 1950–1959 cohorts. Improvement in EDDC explained 18% of the rise in diabetes prevalence between 1930–1939 and 1950–1959 cohorts. Discussion High body weight across Mexican birth cohorts seemed to offset the potential benefits from improvements in childhood conditions on adult diabetes risk. [ABSTRACT FROM AUTHOR]

The Northern Harrier (Circus hudsonius) reaches the southern limit of its current breeding range at San Quintín Bay, Baja California Mexico, where the tidal salt marsh is home to possibly as many as 15 pairs. In 2023 one pair had a nest with three eggs hatching 25-26 April. Two young fledged by 17 June. [ABSTRACT FROM AUTHOR]

Background and Objectives: Non-viral bloodborne diseases are a group of infections that are a public health problem worldwide. The incidence of diseases such as brucellosis and syphilis is increasing in the Americas and Europe. Chagas disease is an endemic problem in Latin America, the United States and Europe. This study aims to determine the prevalence of non-viral bloodborne diseases in blood donors and to discuss some issues related to federal regulations for the control and prevention of these infectious diseases in Mexico. Material and methods: A cross-sectional study was conducted in the Western National Medical Center Blood Bank, including 228,328 blood donors (2018–2023). Frequencies, percentages, means, standard deviation and confidence intervals (CI) were calculated for demographic data. Prevalences were expressed as rates per 100,000 with 95% CI. Results: Of 3949 seroreactive or undetermined blood donors at the first screening, a total of 682 (0.299%) completed their follow-up test and were positive for Treponema pallidum (478), Trypanosoma cruzi (83), or Brucella spp. (121). The overall prevalence for non-viral bloodborne diseases was 299 per 100,000 blood donors. The prevalence for syphilis, Chagas disease, and Brucella was 209, 36, and 53 per 100,000 respectively. Conclusion: Federal regulations should be reviewed to formulate specific public health policies focused on controlling and preventing nonviral bloodborne diseases. [ABSTRACT FROM AUTHOR]

From the researchers' perspective, the study aimed to identify factors affecting the functionality of postgraduate programs in natural sciences and engineering in a north-western Mexican state. Through the typical cases method, 25 researchers who worked in six doctorate programs in the region were selected. From the perception of these participants, the functionality of the postgraduate program is affected by external factors, such as the weakness of other participants' actions in the scientific and technological innovation system in the region; and internal factors, in particular, difficulties concerning the formation processes and strategies for academic training and technology transfer into the region.

The purpose of this study is to identify groups of gifted university students that differ in their self-concept and achievement motivation. For this, 80 students who achieved scores of the 95th percentile or higher in the Raven's Progressive Matrices test were selected. Two groups were identified in terms of their social self-concept and the competitiveness-oriented achievement motivation variables. The first group ("Protected") gathered 51 (63.7%) gifted students who exhibited high levels of social self-concept and a low level of competitiveness-oriented achievement motivation with respect to the second group ("At-risk"), which gathered 29 (36.3%) gifted students. It was concluded that "Protected" students possess affective resources that strengthen their social and academic development, whereas "At-risk" students' variables represent vulnerability factors.

Various international perspectives from selected regions where substantial work is being done on green and sustainable chemistry education emphasize a systems thinking framework. Common to most of the perspectives is the inclusion of more global paradigms involving economic, environmental, political, and social aspects as fundamental issues in the formerly merely technical and scientific discussions, as well as the development of laboratory experiences, training sessions, written materials, discussion meetings, and conferences. We include bird's eye views from Europe (the Green Chemistry Centre of Excellence at the University of York, United Kingdom; the University of Cordoba, Spain; and the University of Amsterdam, The Netherlands), Latin America (the Universidad Nacional de Rosario, Argentina, and the Universidad Iberoamericana, Mexico), Africa (the University of Venda, South Africa), and Australia (Monash University).

Drawing on social representation theory, this study explored horse handlers' understandings of "good" treatment, abuse, and human-horse relationships in tourism, leisure, and sport events in Mexico to examine the ways in which attitudes toward horse welfare are shaped by both national and cultural discourses and wider norms of the global equestrian community. Based on in-depth interviews, the study revealed that national and subcultural norms of the equestrian social world shape people's attitudes to what is deemed "good treatment" and what is "abuse." It suggests the need to understand better how cultural factors shape different people's attitudes to those standards and look for ways to safeguard horse welfare while valuing local heritage. [ABSTRACT FROM AUTHOR]

Introduction: Clinical simulation in the management of labor improves undergraduate nursing students' clinical competencies by integrating knowledge, skills, and attitudes. This integration facilitates the internalization of theoretical knowledge, reinforcing self-esteem and confidence in providing care. Objective: To evaluate the effect of clinical simulation on the development of clinical competencies for the management of labor in undergraduate nursing students at a public university in Oaxaca. Materials and Methods: A quasi-experimental pre- and post-test study was conducted with 38 undergraduate nursing students, men and women, in the sixth (18) and fourth (20) semesters. The sample size for comparison of means was calculated in G*Power 3. Data were collected using the Clinical Simulation Competency Assessment Tool (ClinSimCAT). Descriptive and inferential statistical analysis was performed using the statistical software SPSS version 26.0. Results: The Wilcoxon test revealed statistically significant differences between the mean pretest and post-test scores for the Intervention Group (IG) (p < 0.001). In addition, the Student's t-test showed significant differences between the means of the IG and Control Group (CG) in the post-test (t = 7.598, df = 37, p < 0.0001). Discussion: Clinical simulation significantly improved students' clinical competencies in the management of labor, which is consistent with the findings of other research studies. Conclusion: It is crucial that clinical simulation is not limited to technical procedures but also promotes the development of comprehensive nursing skills. [ABSTRACT FROM AUTHOR]

Little research has been dedicated to Indigenous Mexican students' education and their sociocultural adaptation to U.S. schools, which includes their ethnic identity as significant to their schooling experiences. This study examines Zapotec-origin youth, original to the state of Oaxaca, Mexico, and how their Indigenous identity can positively impact their education. Often, educators have limited knowledge about Mexico's ethnoracial groups, presume that their Mexican students share indistinguishable characteristics, and are unaware that Indigenous students are ever-present in their classrooms. Through in-depth interviews, this study reveals how Zapotec high school students assert their Indigenous identity as a basis for developing viable approaches for their overall educational success.

Evaluation of stable carbon (δ13C) and nitrogen (δ15N) isotopes in marine organisms over time addresses how environmental variability (e.g., El Niño or The Blob) affects habitat use and food resources, respectively. This work focuses on the impact of warm events in the Northeastern Pacific Ocean on the foraging strategies of adult female northern elephant seals (Mirounga angustirostris; NES) from the San Benito Archipelago in Mexico during their post-molting migration, through isotopic variability in pups as maternal indicators. Analysis of δ15N and δ13C was carried out on lanugo samples (n = 311) of weaned pups from the 2013–2017, 2019, and 2022–2023 breeding seasons and correlations with sea surface temperature (SST) anomalies of the potential foraging areas of female NES from the San Benito Archipelago were investigated. Isotopic niches showed high overlap throughout most of the study period, suggesting a limited impact of SST anomalies on their foraging strategies. However, values of δ15N and δ13C differed in 2014, 2018, and 2021 relative to other years, suggesting shifts to distant regions in latitude and longitude, and increased foraging effort during the post-molting migrations of these warm years. Findings demonstrate the flexibility and adaptive capacity of female NES relative to the warm events of the last decade. [ABSTRACT FROM AUTHOR]

Rocky Mountain spotted fever (RMSF), a severe and extraordinarily lethal infectious disease, has emerged as a widespread public health crisis among predominantly vulnerable populations in several countries of Latin America, particularly evident in northern Mexico. Historically, RMSF has gained less attention than many other tropical infectious diseases, resulting in insufficient allocations of resources and development of capabilities for its prevention and control in endemic regions. We argue that RMSF fulfills accepted criteria for a neglected tropical disease (NTD). The relative neglect of RMSF in most Latin American countries contributes to disparities in morbidity and mortality witnessed in this region. By recognizing RMSF as an NTD, an increased public policy interest, equitable and more appropriate allocation of resources, scientific interest, and social participation can ameliorate the impact of this potentially treatable disease, particularly in vulnerable populations. Author summary: Rocky Mountain spotted fever (RMSF), a severe and extraordinarily lethal infectious disease, affects predominantly vulnerable populations in several countries of Latin America. The pathogen, Rickettsia rickettsii, is transmitted to humans through the bite of infected hard ticks from the family Ixodidae. When RMSF is not diagnosed or treated promptly, it often results in life-threatening disease and can be rapidly fatal in as many as 30% to 60% of patients. Among survivors, RMSF can result in long-term sequelae, including permanent cognitive deficits and amputations resulting from gangrene of extremities and appendages. Hyperendemic levels of RMSF, witnessed currently in multiple states across northern Mexico, arises from a complex interaction of zoonotic, environmental, and social determinants that pose enormous challenges to health systems and public policies. These same determinants also exist in most Latin American countries, which place the region at great risk for devastating levels of disease. Historically, RMSF has gained far less attention than many other tropical infectious diseases of equivalent or lesser magnitude, resulting in insufficient allocation of resources and limited efforts for its prevention and control. The neglect of RMSF in most Latin American countries contributes to broadening disparities in morbidity and mortality across this region that involve predominantly persons living in poverty, children, and to an increasing degree, pregnant women. Formal recognition of RMSF as a neglected tropical disease is an important step toward reducing the public health burden created by this disease, fostering political and scientific interest and increasing financial resources for the implementation of medical and sanitary interventions. [ABSTRACT FROM AUTHOR]

On the basis of a randomized controlled trial, we evaluate a scholarship program in Mexico, Programa de Becas Educación Media Superior (PROBEMS), aimed at improving graduation rates and test scores among upper secondary school students from poor backgrounds. We find that, on average, the program has no effect on either graduation rates or math and Spanish test scores. We point to two possible reasons for this failure: (i) the program was badly targeted, with many of the recipients being from less disadvantaged families than intended; and (ii) the prior academic achievement of those eligible was often insufficient for successful completion of the academic requirements of upper secondary school. This points to accumulated achievement deficits that could be addressed by interventions targeting learning at an earlier stage. [ABSTRACT FROM AUTHOR]

We use a randomized experiment (across 200 public primary schools in Puebla, Mexico) to study the impact of providing schools with cash grants on student test scores. Treated schools received on average ∼$$ \sim $$16 USD per student each year for two years, an increase of ∼$$ \sim $$20% in public spending per child, after teacher salaries. Overall, the grants had no impact on student test scores. Lack of a treatment effect does not seem to be driven by poor implementation or a substitution away from other inputs (e.g. household expenditure). [ABSTRACT FROM AUTHOR]

In this paper, four probability functions are compared with the purpose of establishing a methodology to improve the accuracy of wind energy estimations in a desert city in Northwestern Mexico. Three time series of wind speed data corresponding to 2017, 2018, and 2019 were used for statistical modeling. These series were recorded with a sonic anemometer at a sampling frequency of 10 Hz. Analyses based on these data were performed at different stationarity periods (5, 30, 60, and 600 s). The estimation of the parameters characterizing the probability density functions (PDFs) was carried out using different methods; the statistical models were evaluated by the coefficient of determination and Nash–Sutcliffe efficiency coefficient, and their accuracy was estimated by the measured quadratic error, mean square error, mean absolute error, and mean absolute percentage error. Weibull, using the energy pattern factor method, and Gamma, using the Method of Moments, were the probability density functions that best described the statistical behavior of wind speed and were better at estimating the generated energy. We conclude that the proposed methodology will increase the confidence of both wind speed estimation and the energy supplied by small-scale wind installations. [ABSTRACT FROM AUTHOR]

Copyright of Plants, People, Planet is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Salud Pública de México is the property of Instituto Nacional de Salud Publica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the tourism industry, the implementation of effective strategies to promote destinations is considered of utmost importance. Taking advantage of social media, Destination Management Organizations (DMOs) have embraced these platforms as direct channels of communication with potential visitors. However, it remains unclear to what extent these efforts work to effectively construct the desired image and influence visitors' behavior. In order to explore this phenomenon, this study proposes a comparison of destination images within Instagram, used by both DMOs and visitors (user generated content). Thus, a deep-learning method is presented to automatically compute differences between destination images. Four destinations were selected from Mexico (two urban destinations and two beach destinations). The findings suggest that the images of urban destinations share more significant similarities, particularly in dimensions related to culture, tourist infrastructure, and natural resources when compared to beach destinations. Conversely, the images of beach destinations tend to converge on dimensions such as sun and sand, gastronomy, and entertainment, while differing in aspects related to tourist infrastructure and eco-tourism offerings. It is worth noting that these results underscore the importance of tailoring marketing strategies to the unique characteristics of each destination, taking into account the divergences and similarities in the perceptions of potential visitors. [ABSTRACT FROM AUTHOR]

In September 2017, two strong earthquakes hit the central region of Mexico, producing substantial damage to the historical buildings. A retroactive analysis for assessing the pre-event seismic vulnerability of these constructions allowed for testing the suitability of an existing parameter-based approach based on material and geometrical features. More than 160 adobe buildings in four municipalities of the State of Morelos were surveyed and included in a vulnerability-oriented GIS database. Data were collected on-site and managed by resorting to open-source GIS software combined with a Python-based database management tool and a cloud-based platform for onsite data collection using mobile devices. The parameter-based approach was used for assessing the analytical seismic vulnerability of the buildings and implementing a secondary, more conservative assessment that considers uncertainties associated with the data acquisition process. The capabilities of the database were further used to train a Machine Learning algorithm aimed at overcoming some representativeness limitations of the parameter-based analytical method. This third approach was found to be suitable for assessing the vulnerability of the building typologies addressed in this investigation. Although the implementation discussed in this paper is limited to a specific vernacular typology, it can be used to conduct customized local calibrations. [ABSTRACT FROM AUTHOR]

The controlling hydrogeochemical processes of an intermontane aquifer in central Mexico were identified through multivariate statistical analysis. Hierarchical cluster (HCA) and k-means clustering analyses were applied to Na+, K+, Ca2+, Mg2+, F−, Cl−, SO42−, NO3−, HCO3−, As, pH and electrical conductivity in 40 groundwater samples collected from shallow and deep wells, where As and F− are contaminants of concern. The effectiveness of each hierarchical and k-means clustering method in explaining solute concentrations within the aquifer and the co-occurrence of arsenic and fluoride was tested by comparing two datasets containing samples from 40 and 36 wells, the former including ionic balance outliers (>10%). When tested without outliers, cluster quality improved by about 5.4% for k-means and 7.3% for HCA, suggesting that HCA is more sensitive to ionic balance outliers. Both algorithms yielded similar clustering solutions in the outlier-free dataset, aligning with the k-means solution for all 40 samples, indicating that k-means was the more robust of the two methods. k-means clustering resolved fluoride and arsenic concentrations into four clusters (K1 to K4) based on variations in Na+, Ca2+, As, and F−. Cluster K2 was a Na-HCO3 water type with high concentrations of As and F. Clusters K1, K3, and K4 exhibited a Ca-HCO3, Na-Ca-HCO3, and Ca-Na-HCO3 water types, respectively, with decreasing As and F concentrations following the order K2 > K3 > K1 > K4. The weathering of evaporites and silicates and Na-Ca ion exchange with clays were the main processes controlling groundwater geochemistry. The dissolution of felsic rocks present in the aquifer fill is a likely source of As and F−, with evaporation acting as an important concentration factor. [ABSTRACT FROM AUTHOR]

In Mexico, manzano pepper (Capsicum pubescens) is a crop of economic importance. In 2022, in the municipality of Taxco de Alarcon, Guerrero, Mexico, leaf spots were observed in the mazano pepper crop. The fungus Alternaria spp., was consistently isolated from symptomatic leaf of manzano pepper. A molecular characterization was carried out by amplification and sequencing of the internal transcribed spacer (ITS) region of ribosomal DNA, major allergen (Alt a 1), and anonymous gene region (OPA10-2). BLAST analysis indicated similarity that varied from 99.5 to 100% with Alternaria arborescens sequences in GenBank. A phylogenetic analysis was carried out using the Maximum Likelihood method of two isolates of Alternaria sp., obtained from manzano pepper, and indicated that they were clustered with A. arborescens sequences (CBS 115189 and CBS 112749). Using uninjured two month-old plants grown in greenhouse conditions, Koch's postulates were verified and fulfilled. To our knowledge, this is the first report of Alternaria arborescens as a caused leaf spot in manzano pepper in Mexico and in the world. [ABSTRACT FROM AUTHOR]

The human oral cavity is normally colonized by microorganisms including bacteria, fungi, archaea, viruses and protozoa. The aim of this study was to determine the frequency of Candida spp., in de oral cavity in a group of medical students from the north of Mexico. Oral sample were obtained from 240 healthy students. The specimens were analyzed by traditional microbiology cultures and DNA sequencing. Candida spp., grew in Sabouraud dextrose agar from 57 samples and subsequently were isolated and phenotyped. The definitive identification to the species level was done by sequence analysis. The yeasts were identified as follow: 28 Clavispora lusitaniae, 20 Candida albicans, 5 Pichia kudriavzevii and 4 Candida parapsilosis. Our findings revealed that 23.75% of the healthy population has a potential pathogen in their mouth. Surprisingly, C. albicans is not the predominant yeast; instead other non-Candida species are the colonizers of the oral cavity as normal microbiota. C. lusitaniae is considered an emerging opportunistic pathogen in immunosuppressive patients. This paper pretends to highlight the presence of this yeast in the oral cavity in immunocompetent young adults. [ABSTRACT FROM AUTHOR]

Mathematical algorithms relate satellite data of ocean color with the surface Chlorophyll-a concentration (Chl-a), a proxy of phytoplankton biomass. These mathematical tools work best when they are adapted to the unique bio-optical properties of a particular oceanic province. Ocean color algorithms should also consider that there are significant differences between datasets derived from different sensors. Common solutions are to provide different parameters for each sensor or use merged satellite data. In this paper, we use satellite data from the Copernicus merged product suite and in situ data from the southernmost part of the California Current System to test two widely used global algorithms, OCx and CI, and a regional algorithm, CalCOFI2. The OCx algorithm yielded the most favorable results. Consequently, we regionalized it and conducted further testing, leading to significant improvements, especially in eutrophic and oligotrophic waters. The database was then separated according to (a) dynamic boundaries in the area, (b) bio-optical properties, and (c) climatic conditions (El Niño/La Niña). Regional algorithms were obtained and tested for each partition. The Chl-a retrievals for each model were tested and compared. The best fit for the data was for the regional algorithms that considered the climatic conditions (El Niño/La Niña). These results will allow for the construction of consistent regionally adapted time series and, therefore, will demonstrate the importance of El Niño/La Niña events on the bio-optical properties of the area. [ABSTRACT FROM AUTHOR]

The present study investigates molecular‐based PCR techniques to estimate the prevalence of fish pathogens in southwest Mexico where recurrent mortality in the tilapia cultures has been observed. Sample of internal organs and lesions of Nile tilapia were taken and analysed in 2018, 2019, 2020 and 2022 to detect bacterial pathogens using PCR. No samples were taken in 2021 due to the COVID‐19 pandemic. The real‐time PCR conditions were optimized to allow a qualitative reliable detection of the bacteria from fixed fish tissue. A total of 599 pond‐ and cage‐cultured tilapia from the southwestern Mexican Pacific (Guerrero, Oaxaca and Chiapas states) were analysed. In this tropical region, during 2018 and 2019 water temperatures of the tilapia cultures were generally with the optimal range to grow Nile tilapia, although extreme values were recorded on some farms. Most of the tilapia sampled were apparently healthy. No Francisella sp. was detected in any sample, and Staphylococcus sp. was the most prevalent (from 0% to 64%) bacteria from the three states over time. Low prevalence of Aeromonas sp. was found, from 0% to 4.3%, although the fish pathogen Aeromonas dhakensis was not detected. Sterptococcus iniae was only detected in Chiapas in 2019 at a low prevalence (1.4%), while the major tilapia pathogen S. agalactiae was detected at a high prevalence (from 0% to 59%) in the three Mexican states. This is the first detection of these pathogenic bacteria in rural farms using real‐time PCR and constitutes a great risk for tilapia aquaculture in Mexico, as well as a potential dispersion of these pathogens to other aquaculture areas. [ABSTRACT FROM AUTHOR]

Objectives The percentage of older adults in Mexico with difficulty completing activities of daily living (ADL) who receive assistance from family appears to be decreasing. We compared 2 birth cohorts of older adults in Mexico to investigate whether this trend reflects an increase in unmet caregiving needs or a decrease in the need for care. Methods We selected Mexican Health and Aging Study participants aged 60–76 in 2001 (n  = 4,805) and 2018 (n  = 6,494). ADL tasks were dressing, walking, bathing, getting in and out of bed, and toileting. Participants who reported difficulty with an ADL were asked if anyone helped them with the task. Logistic regression was used to estimate adjusted odds ratios (aOR) for cohort differences in ≥1 ADL limitations and help with ≥1 ADL. We used a decomposition analysis to identify participant characteristics that mediated cohort differences in receiving help with ≥1 ADL. Results The 2018 cohort had higher odds for ≥1 ADL limitations (aOR = 1.85, 95% CI = 1.60–2.14) but lower odds for help with ≥1 ADL (aOR = 0.66, 95% CI = 0.49–0.89). Among participants with ADL disability, the 2018 cohort had fewer living children and a lower prevalence of probable dementia. The lower number of living children and lower prevalence of probable dementia explained 9.34% and 43.7% of the cohort effect on receiving help with ≥1 ADL, respectively. Discussion The declining percentage of older adults in Mexico with ADL disability receiving assistance may not reflect increasing unmet needs. However, the increased prevalence of ADL disability will increase the number of older adults needing informal care. [ABSTRACT FROM AUTHOR]

Background: To determine the patterns of irrational use of medications among a sample of adult patients with insomnia. Methods: We included 89 adult patients diagnosed with chronic insomnia who had consumed medications for this disorder during the 12 months prior to admission to a specialized Sleep Disorders Clinic (SDC) in Mexico City. With a 13-item survey, information was gathered on patterns of medication use and irrational use, considering therapeutic indications, dose, route of administration, and duration of treatment. Results: The participants had taken hypnotics (65%), antidepressants (21%), anticonvulsants (8%), and antipsychotics (6%), and 92% had irrational use of their medication. Irrational use was greatest with benzodiazepines and antipsychotics. There were two main types of irrational use: (1) 47% of participants had consumed a drug unsuitable for their condition, although it was almost always prescribed by a doctor, and (2) 43% had consumed a drug for longer than the maximum time recommended. Conclusion: It is worrisome to find that the irrational use of medications to treat insomnia, especially benzodiazepines and antipsychotics is widespread. Although most participants had acquired their medication by prescription, for many the drug was inappropriate to treat their condition. It should be mandatory that patients with insomnia receive specialized medical attention in primary clinical care. [ABSTRACT FROM AUTHOR]

I trace transnational movement of the term DREAMer as it travels alongside deported and self-returned undocumented youths to Mexico, where the DREAMER narrative serves a neoliberal agenda. In the 2000s, the DREAMer narrative gained momentum as a popular trope in political and activist discourse across the United States, utilized as a tool to justify the inclusion of some (but not all) undocumented youths. As an UndocuScholar--a scholar researching and writing about the immigrant experience from an undocumented perspective--I join a growing number of current and former undocumented scholars who interrogate the DREAMer narrative for prioritizing a singular idea, based on neoliberal ideologies, that excludes the diverse experiences of immigrant communities. I use original testimonials captured in Los Otros Dreamers, edited by Jill Anderson, to document the experiences of deported and self-returned undocumented youths and application of the term DREAMer in Mexico. In so doing, I show how the unique routes and choices of immigrant communities are shaped by political discourse, notions of cultural belonging, and opportunities. [ABSTRACT FROM AUTHOR]

Destination image has been a subject of great interest to tourism scholars for several decades. Since the nature of this social construct is highly dynamic, its study poses new challenges under the current conditions of contemporary tourism practices. Considering that the image formation process can be influenced positively or negatively by multiple sources of information available to individuals, it is surprising that analyses of autonomous formation agents, such as online news, have received limited attention in related literature. Although existing studies have explored the influence of this information on image formation, intention to visit, and actual behavior, these normally adopt traditional methodologies to collect information, circumscribing the analysis to limited samples. The main objective of this work is to propose an innovative automated approach based on deep learning aimed at collecting and analyzing available textual data on the internet, such as online news, to produce a more comprehensive picture of the destination image in these sources of information. In order to test this approach, a destination from the country of Mexico was selected as a case study: Cancun. Given that the USA and Canada represent almost 60 percent of all international visitors to Mexico, the information search focused on this geographical context. A total of 3845 online news making reference to Cancun were retrieved during an entire year (July 2021–2022). The analysis of this information allowed the identification of recurrent topics covered by the media in both countries regarding destination safety issues, criminal activities, and the evolution of travel restrictions due to the COVID-19 pandemic. In addition to these topics, favorable coverage could also be detected including topics such as existing amenities in all-inclusive resorts as well as the recognition of Cancun as an ideal tourist destination for the international traveler. In practical terms, we believe this information can be useful for local government and DMOs to explore the evolution of the destination's image as well as to identify sensitive issues covered in the media that require the implementation of communication strategies to counteract any potential negative effect. Finally, the proposed approach effectively contributes to making the tasks of destination image evaluation easier and faster than traditional research strategies. [ABSTRACT FROM AUTHOR]

Sotol is a traditional distilled alcoholic beverage produced in Mexico and the United States. Unfortunately, local authorities have detected that these beverages are sometimes adulterated with toxic substances such as ethylene glycol. This illegal practice of adulteration is dangerous and can cause serious health problems for the end consumers. In this work, an alternative, reliable, and rapid method is presented for identifying the presence of ethylene glycol in sotol samples using UV-Vis spectroscopy and neural networks with an accuracy of up to 100%. [ABSTRACT FROM AUTHOR]

There is hardly any cross-cultural research on the measurement invariance of the Brief Multidimensional Students' Life Satisfaction Scales (BMSLSS). The current article evaluates the measurement invariance of the BMSLSS across cultural contexts. This cross-sectional study sampled 7,739 adolescents and emerging adults in 23 countries. A multi-group confirmatory factor analysis showed a good fit of configural and partial measurement weights invariance models, indicating similar patterns and strengths in factor loading for both adolescents and emerging adults across various countries. We found insufficient evidence for scalar invariance in both the adolescents' and the emerging adults' samples. A multi-level confirmatory factor analysis indicated configural invariance of the structure at country and individual level. Internal consistency, evaluated by alpha and omega coefficients per country, yielded acceptable results. The translated BMSLSS across different cultural contexts presents good psychometric characteristics similar to what has been reported in the original scale, though scalar invariance remains problematic. Our results indicate that the BMSLSS forms a brief measure of life satisfaction, which has accrued substantial evidence of construct validity, thus suitable for use in cross-cultural surveys with adolescents and emerging adults, although evaluation of degree of invariance must be carried out to ensure its suitability for mean comparisons.

Global biodiversity is negatively affected by anthropogenic climate change. As species distributions shift due to increasing temperatures and precipitation fluctuations, many species face the risk of extinction. In this study, we explore the expected trend for plant species distributions in Central America and southern Mexico under two alternative Representative Concentration Pathways (RCPs) portraying moderate (RCP4.5) and severe (RCP8.5) increases in greenhouse gas emissions, combined with two species dispersal assumptions (limited and unlimited), for the 2061–2080 climate forecast. Using an ensemble approach employing three techniques to generate species distribution models, we classified 1924 plant species from the region's (sub)tropical forests according to IUCN Red List categories. To infer the spatial and taxonomic distribution of species' vulnerability under each scenario, we calculated the proportion of species in a threat category (Vulnerable, Endangered, Critically Endangered) at a pixel resolution of 30 arc seconds and by family. Our results show a high proportion (58–67%) of threatened species among the four experimental scenarios, with the highest proportion under RCP8.5 and limited dispersal. Threatened species were concentrated in montane areas and avoided lowland areas where conditions are likely to be increasingly inhospitable. Annual precipitation and diurnal temperature range were the main drivers of species' relative vulnerability. Our approach identifies strategic montane areas and taxa of conservation concern that merit urgent inclusion in management plans to improve climatic resilience in the Mesoamerican biodiversity hotspot. Such information is necessary to develop policies that prioritize vulnerable elements and mitigate threats to biodiversity under climate change. [ABSTRACT FROM AUTHOR]