Michoacan University of Saint Nicholas of Hidalgo (UMSNH) is a public university in Morelia, Michoacán, Mexico, and the oldest institution of higher education in the Americas. The University grants law, economics, computer science, medicine, architecture, and dentistry degrees, plus several other additional fields of study, mainly in Humanities, Science and Arts....
Aestivation and migration are among the adaptations that have evolved to cope with extreme or prolonged periods of drought in vertebrates. In reptiles, aestivation behavior and its duration are predicted to be influenced by environmental variables in response to harsh climatic conditions. Aestivation and/or migration could promote the ability of turtles to colonize new areas, which would be reflected in proportionally larger distributions for species that aestivate. In this study, we analyzed the relationship between aestivation behavior and environmental stressors. More specifically, the relationship between maximum aestivation days and distribution size as well as their interaction with environmental variables, in New World freshwater turtles and tortoises using a comparative phylogenetic context. Aestivation behavior was positively associated with maximum temperature of the warmest month (Bio5). Moreover, aestivating species had larger distributions compared to non-aestivating species. We found a relationship between distribution size and maximum aestivation days, with an influence of precipitation of the wettest month (Bio13), and mean UV-B radiation of the warmest month (UVB3). Our results suggest that turtles with extended aestivation duration tend to have broader geographic distributions, as a result of enhanced tolerance to environmental stressors.
Achieving sustainable health system performance (SHP) is a pressing challenge in emerging economies like India, where disparities in infrastructure, technology, workforce, and policy persist. This study investigates the complex, interdependent drivers of SHP by integrating three analytical methods. Decision-Making Trial and Evaluation Laboratory (DEMATEL), Partial least squares structural equation modeling (PLS-SEM), and artificial neural networks (ANN). Guided by socio-technical systems theory and systems thinking, we explore how health infrastructure (HI), technology adoption (TA), health workforce (HW), policy support (PS), and community engagement (CE) influence SHP. Data were collected from 412 stakeholders across six Indian states using a stratified purposive sampling method. DEMATEL identified causal relationships among constructs; PLS-SEM tested hypothesized paths, including mediation by CE and moderation by PS; and ANN validated predictive strength and variable importance. Results reveal that HI, TA, HW, and PS positively affect SHP. CE significantly mediates the impact of HI, TA, and HW, while PS strengthens the effects of TA and HW. TA and PS emerged as the most influential predictors. These findings underscore the need for integrated, community-centered, and policy-supported strategies to strengthen health systems. This study offers a novel multi-method framework to inform evidence-based health reforms in India and similar contexts.
The Amaranto tephra is a pyroclastic sequence comprising three pumice-fallout layers in the central-eastern portion of the Michoacán-Guanajuato Volcanic Field, México. Its deposits are widely distributed in the northern part of Morelia city and are stratigraphically intercalated with other Miocene-Pleistocene volcanic units, making it an excellent regional stratigraphic marker. The three tephra layers exhibit a symmetrical gradation structure, mainly composed of pumice fragments, lithics, and loose crystals. Componentry analysis reveals the presence of gray and white pumice populations with a mineral paragenesis of plagioclase, amphibole, and Fe-Ti oxides, with vesicularity values between 71 and 79 vol.
Instructional Science is a prominent international journal of learning sciences. This article provides a comprehensive bibliometric overview of the major trends within the journal from 1972 to 2023. The study focuses on assessing the journal’s impact, identifying the most productive and influential authors, institutions, and countries, as well as analysing the evolution of key topics over time. The primary source of bibliometric data for this analysis is the Scopus scientific database. Some information of the Web of Science Core Collection database is retrieved in specific instances to enhance the analysis. Additionally, the paper includes a graphical mapping of the bibliographic data using VOS viewer software, which provides more in-depth analysis through co-citation, bibliographic coupling, and co-occurrence of author keywords. The findings highlight the journal’s significant growth and impact over the years, and it is anticipated that it will continue to expand its international reach.
The effect of zirconium (Zr) on the formation of precipitates in the 7075 aluminum alloy was investigated through an aging heat treatment. Four alloys were produced with Zr contents ranging from 0 to 0.355
