Search Results (1,092)

Background: Effective communication is a fundamental competency in veterinary medicine that shapes the quality of veterinarian–client relationships, shared decision-making, and animal welfare. However, consistent and systematic integration of communication training across veterinary curricula remains uneven worldwide. Methods: This scoping review mapped and analyzed educational programs aimed at developing communication competencies in veterinary education and professional practices. A systematic search was conducted according to PRISMA-ScR guidelines, identifying 37 eligible studies published between 2005 and 2024. Results: Most publications were in English and originated from North America, particularly Canada (n = 15) and the United States (n = 8). Regarding target populations, 15 studies (40.5%) focused on veterinary students, 12 (32.4%) on practicing veterinarians, 8 (21.6%) on animal owners or clients, and 2 on veterinary educators. 18 studies (48.7%) described structured programs that used active learning strategies such as role-play, clinical simulations, peer-assisted learning, and formative feedback. The competencies frequently emphasized include empathy, active listening, nonverbal communication, conflict resolution, and rapport building. Notable best practices included the Calgary–Cambridge model, Objective Structured Clinical Examination (OSCE), and reflective video analysis. Conclusions: The available evidence indicates a growing emphasis on clinical communication within veterinary education, primarily implemented through experiential and practice-based approaches. However, substantial gaps persist in the representation of Latin American contexts and in the systematic, longitudinal integration of communication skills across veterinary curricula. Addressing these gaps may contribute to more coherent, equitable, and context-sensitive communication training in veterinary education. Full article

The largest survey to date of behavioral management practices among facilities breeding and housing nonhuman primates (NHPs) for research was conducted from 2019 to 2020. Its primary objective was to analyze and compare practices across the European Union (EU), the United Kingdom (UK), and the United States of America (US), identify regional differences, and highlight opportunities for refinement. Detailed information was captured on the management of NHPs at 49 facilities in these regions. Most respondents reported the number of NHPs at their institutions, which totaled 50,842. The findings suggest large variation in NHP behavioral management practices between world regions. Facilities in the UK and EU are at the forefront of best practice in many components of behavioral management. These involve the proportion of NHP populations housed socially, the age at which infants are removed from dams, the provision of pen enclosures, caging exceeding the regulatory/accreditation minimum floor space, and destructible enrichment (including floor substrates). Comparisons with the results of previous surveys conducted in the US in 2003 and 2014 show positive changes and progress over time, including a greater proportion of facilities providing access to exercise enclosures with more frequent implementation. Some previously reported impediments to social housing involving clinical and staffing constraints as well as scientific instrumentation eased over time. While there were increases in the use of social housing for some species, there was no increase across all species over the six-year interval since 2014. The proportion of US facilities providing destructible enrichment for caged NHPs remained the same. Importantly, overall, the data demonstrate that, with knowledge transfer and sufficient resources, perceived constraints on key elements of behavioral management can be overcome to improve NHP welfare and facilitate good science. The findings have been used to identify and discuss recommendations for best practice to improve animal welfare. Full article

The paper explores how the diasporic Igbo community portrays its cultural identity through personal names and naming practices in a globalised context. The study employs a qualitative approach, involving computer-assisted semi-structured interviews with 26 diasporic Igbo individuals residing in the United States of America (USA), to examine how names are constructed to reflect cultural identity, community ties, and connections to the Igbo society. The paper adopts the sociocultural linguistic theory of identity to examine how culture and society shape language use, analysing names as social acts that establish connections to the Igbo community and cultural heritage. The paper examines how Igbo migrants negotiate traditional naming practices in the diaspora and communicate their cultural identity and worldviews through naming. The findings reveal that the diaspora Igbo community conveys its cultural identity, migration history, and emotional connection to its homeland while maintaining social relationships in its host country. The study will provide insight into the role of names in preserving cultural identity and fostering a sense of belonging among the diasporic Igbo community. Full article

Climate change is widely recognized as a significant contributor to both wildfire initiation and spread, conditions such as high temperatures and prolonged droughts facilitating the rapid ignition and propagation of fires. As a result, extreme weather events can trigger fires through lightning strikes with increases in frequency and severity. Despite this, we argue that it is important to distinguish and clarify the concepts of fire occurrence and fire spread, as these phenomena are not directly synonymous in the field of fire ecology. This review examined the published literature to determine if climate factors contribute to fire occurrence and/or spread, and evaluated how well the concepts are used when drawing connections between fire occurrence and fire spread related to climate variables. Using the PRISMA bibliographic analysis methodology, 70 scientific articles were analyzed, including reviews and research papers in the last 5 years. According to the analysis, most publications dealing with fire occurrence, fire spread, and climate change come from the northern hemisphere, specifically from the United States, China, Europe, and Oceania with South America appearing to be significantly underrepresented (less than 10% of published articles). Additionally, despite climatic variables being the most prevalent factors in predictive models, only 38% of the studies analyzed simultaneously integrated climatic, topographic, vegetational, and anthropogenic factors when assessing wildfires. Furthermore, of the 47 studies that explicitly addressed occurrence and spread, 66 percent used the term “occurrence” in line with its definition cited by the authors, that is, referring specifically to ignition. In contrast, 27 percent employed the term in a broader sense that did not explicitly denote the moment a fire starts, often incorporating aspects such as the predisposition of fuels to burn. The remaining 73 percent focused exclusively on “spread.” Hence, caution is advised when making generalizations as climate impact on wildfires can be overestimated in predictive models when conceptual ambiguity is present. Our results showed that, although climate change can amplify conditions for fire spread and contribute to the occurrence of fire, anthropogenic factors remain the most significant factor related to the onset of fires on a global scale, above climatic factors. Full article

To better understand recent adolescent (10–19 years) HIV trends in Central America, we analyzed routine data from countries supported by the United States President’s Emergency Plan for AIDS Relief (PEPFAR): Guatemala, El Salvador, Honduras, Panama, and Nicaragua, over the period from October 2020 to September 2024. Key PEPFAR indicators included HIV testing, HIV positivity rates, new treatment initiations, advanced HIV disease (AHD) at diagnosis, viral load coverage (VLC), viral load suppression (VLS), and multi-month dispensing (MMD) uptake for children and adolescents living with HIV (CALHIV) from 10–19 years of age. Since October 2020, the number of HIV tests conducted among adolescents has increased; however, the positivity rate has remained stable at approximately 2%. The number of adolescents initiating treatment increased by 21%. At the same time, VLS has shown steady regional improvement (from 73% to 90%), though VLC is a persistent challenge (80%). Treatment interruption rates have been relatively stable, fluctuating between 2% and 3%. Advanced HIV is high in adolescents new to treatment (34%), especially among females (40%), though cluster of differentiation 4 (CD4) testing at diagnosis has only been collected recently and coverage is not complete. The high prevalence of AHD among adolescents underscores the need to reinforce earlier and more targeted interventions for adolescents, especially in countries with greater HIV prevalence such as Panama and Guatemala. Full article

Air pollution is a major factor influencing hospital admissions worldwide, highlighting the need for robust predictive tools to support healthcare planning and public health measures. Machine learning (ML) has been widely employed to simulate the intricate relationships between pollution and health outcomes. This paper examines publications indexed in the Scopus database, from 2010 to 2024 focusing on using ML techniques to forecast outcomes related to air pollution and hospital admissions. A bibliometric study of the 89 identified papers was also conducted to determine dominant research themes, commonly employed methodologies, and the geographical distribution of publications. The results indicate that research activity increased notably after 2020, with the United States of America, China, and Brazil contributing the highest number of publications. Moreover, the findings indicate that approximately 83% of the reviewed research applied predictive models appropriately, suggesting that ML techniques can effectively forecast healthcare outcomes. Random Forest was the most frequently used method (33 studies), followed by Neural Networks (18 studies). Extreme Gradient Boosting (XGBoost) algorithm, although less frequent, showed the highest reported accuracy, with values ranging from 87% to 95%. The most studied pollutants were particulate matter (PM_2.5), nitrogen dioxide (NO₂), and coarse particulate matter (PM₁₀). Demographic and meteorological data were the most frequently used complementary (71% and 65%, respectively), followed by temporal (46%) and socioeconomic factors (20%). The combination of several variable categories not only enhanced understanding of how environmental exposure affects health outcomes but also improved the accuracy and reliability of the reviewed ML models. Full article

Oropouche virus (OROV) is an emerging and underreported arbovirus with dengue-like symptoms confounding diagnosis. OROV is also neuroinvasive, with a small number of cases presenting severe neurological symptoms. There have been recently reported deaths from confirmed cases of OROV and reported instances of vertical transmission from mother to foetus, with confirmed cases in Brazil and a congenital anomaly, reportedly as a consequence of OROV infection in Cuba, with further cases under investigation. Whilst cases of OROV infection occur mainly in South America, many cases have been imported elsewhere, including the United States and Europe. Despite the emerging threat to public health, animal modelling to study OROV pathogenicity and immunity and to evaluate therapeutic candidates remains limited. For this review, we carried out a literature search through major research databases (PubMed and Scopus) up to September 2025 to capture the extent of in vivo model development for this pathogen. We identified only 17 relevant primary research articles within these criteria which detailed hamster, mouse and non-human primate (NHP) models. Here, we discuss the extent of in vivo model development for OROV. In summary, small and large animal models need to be assessed with recent clinical isolates and reassortants, asymptomatic disease presentation in the NHP model requires further study and the hamster model shows potential for use in pathogenicity and vaccine or antiviral efficacy studies. We also compile relevant metadata and discuss the need for an animal model that more closely resembles human disease. Full article

This study investigates the home-court advantage (HA) and home win percentage (HW) in women’s professional basketball across 14 leagues spanning four continents over three seasons (2021–2024). This study is an observational descriptive analysis based on open access match results. Using data from 12,178 games, we analyzed HA and HW, accounting for team ability and geographical variations. The findings indicate significant differences in HA across continents, with Europe and South America showing higher HA compared to Oceania and Asia. However, HW did not vary significantly between continents. When examining team ability, no significant interaction effects were identified, although trends suggested that low-ability teams rely more heavily on HA, consistent with previous research. A more detailed league-level analysis revealed notable variability, with leagues in the United States of America (USA), Australia, and several Asian leagues showing lower HA compared to those in Mexico and Europe. Factors like travel demands, geographical region, and fan attendance were identified as key determinants. For instance, leagues with extensive travel requirements, particularly in Asia and Oceania, demonstrated lower HA, consistent with studies showing that travel negatively impacts performance. Additionally, reduced fan attendance in women’s basketball may further diminish HA. Full article

CCUS-EOR combines emission reduction with economic benefits, making it one of the key technologies for addressing global climate change. Addressing the lack of systematic comparative studies on the differences in geological endowments and engineering conditions between China and North America in existing literature, this paper systematically reviews the progress of North American CO₂-EOR in areas such as gas source structure transformation, capture technologies, and pipeline network construction, based on a self-constructed database of typical projects. It then conducts a quantitative comparative analysis of typical projects in China and the United States from three dimensions: reservoir geological endowment, gas source composition, and infrastructure. The study reveals that the advancement of U.S. CO₂-EOR projects benefits from increasing industrial CO₂ supply and the construction of cross-regional pipeline networks. Comparative analysis indicates that North American projects primarily feature miscible displacement in medium-to-low temperature and light oil reservoirs. This contrasts fundamentally with the characteristics of China’s continental reservoirs, which exhibit “strong heterogeneity, high viscosity, and high minimum miscibility pressure (MMP)”. Currently, China’s CCUS-EOR is transitioning from engineering demonstration to commercial application. However, gaps persist compared to more mature international systems in areas such as low-concentration CO₂ capture, pipeline network construction for source-sink matching, and suitability for continental reservoir EOR. Moving forward, China can draw on U.S. CCUS-EOR development experience, accelerate research on relevant technologies tailored to its continental reservoir characteristics, and establish a differentiated whole-industry-chain CCUS-EOR technology system. Full article

As the planet warms, not all regions are heating at the same rate. While North America is not one of the fastest warming continents, New England in Northeastern United States is warming faster than most other regions. This research evaluates how fast temperatures are rising and snow cover declining in New England. Three monthly mean air temperature data sets (minimum, average, maximum) from the United States Historical Climatological Network (USHCN) from 1900 to 2025 were used along with two MODIS/Terra satellite data sets: Land Surface Temperature and Emissivity Monthly L3 Global 0.05 Degree (MOD13C3) data and Snow Cover 8-Day L3 Global 0.05 Degree (MOD10C2) data (2000 to 2025). Univariate Differencing and the Mann–Kendall test were used on all three data sets to evaluate change over time at the seasonal and annual levels for New England and each of the six states. A time series regression analysis was undertaken to determine the relationship between snow cover and land surface temperature. Results show six major trends: (1) the existence of three distinct periods of temperature change, with most of the warming occurring since the late-1980s; (2) strong seasonal variations where winter is warming almost twice as fast as any other season; (3) minimum and nighttime temperatures are rising faster than maximum and daytime temperatures, especially since the 1980s; (4) snow cover is decreasing throughout New England, and rapidly in southern New England which has lost over 30–40% of snow cover days between 2000 and 2025; (5) there is a strong inverse relationship between snow cover change and land surface temperature change indicating that snow cover loss is a factor warming New England; and (6) most striking is the acceleration of temperature and snow cover decline in the past 5-year period. This research also discusses six major implications for these temperature and snow cover changes for New England. Full article

This study examines how climatic factors influence the predictive power of LEED credits in determining certification outcomes for hotel buildings across the United States. Using data from 259 LEED-NC v2009 certified hotels, project-level information was integrated with 30-year climate normals from the PRISM database and Building America climate zones. A three-step hierarchical linear regression was conducted to identify the LEED credits that most strongly predict total certification points while controlling for project size, certification year, and baseline climatic conditions, and to test whether climatic factors moderate these relationships. Regularized Linear Regression (LASSO) was then applied to address multicollinearity and assess model stability, followed by Support Vector Regression (SVR) to capture potential nonlinear relationships. This integrated methodological framework, combining hierarchical regression for interpretability, LASSO for coefficient stability, and Support Vector Regression for nonlinear verification, provides a novel, multi-dimensional assessment of climate-sensitive credit behavior at the individual credit level. Results show that energy- and site-related credits, particularly Optimize Energy Performance (EA1), On-Site Renewable Energy (EA2), Green Power (EA6), and Alternative Transportation (SS4), consistently dominate LEED performance across all climate zones. In contrast, indoor environmental quality credits exhibit modest but significant climate sensitivity: higher mean temperatures reduce the contribution of Increased Ventilation (EQ2) while slightly enhancing Outdoor Air Delivery Monitoring (EQ1). Cross-model consistency confirms the robustness of these findings. The findings highlight the need for climate-responsive benchmarking of indoor environmental quality credits to improve regional equity and advance the next generation of climate-adaptive LEED standards. Full article

Biomimicry is an engineering field where inspiration from nature is leveraged to engineer sustainable solutions. Biomimicry is not a subject typically taught in undergraduate curriculum. This study explores the effects of intercultural context on the learning of biomimicry. Visiting students from the United States of America and home students from Singapore gathered for a one-day workshop on biomimicry in Singapore. The workshop consisted of a lecture with in-class activities and laboratory experiments in groups, followed by students’ presentations. The students’ responses to pre- and post-workshop surveys are analyzed, along with their answers from the in-class activities and their presentations. The results show that the international context of the biomimicry workshop made an overall positive contribution to the motivation, appreciation, and enjoyment of all students. Some differences were observed between the visiting and home students, which likely stemmed from the visiting students being better prepared for the event. However, despite high levels of enjoyment and communication, the learning outcomes lacked technical depth and sustainability focus. This suggests the need for a consistent and higher level of preparation and guidance for all participating students on these topics. This study serves as a preliminary example of a workshop that explores the global theme of biomimicry in an international and intercultural setting. Similar workshops could be conducted with larger and more diverse student populations for more robust results. This work could inspire other educators in engineering to explore ways to prepare students for more holistic education. Full article

Social connections and social support have shown strong associations with mental health within immigrant populations. This study examines the nuances in the associations between social network measures and perceived interpersonal support on depression among immigrants from Central America residing in the United States. Data for this project came from the 2012–2013 wave of the National Epidemiological Survey on Alcohol and Related Conditions (NESARC-III). In determining the association between lifetime depression and perceived interpersonal support, three social network measures (diversity, domain participation, and count) were assessed through a series of logistic regressions that controlled for demographic characteristics. Linear regressions were used to assess the relationship between perceived interpersonal support and network characteristics. Immigrants who had higher levels of perceived support had lower odds of meeting the criteria for depression. Social network measures were not significant in their association with depression; however, supplemental analyses indicated a strong relationship between network characteristics and perceived interpersonal support. Future research is needed to further elucidate the mechanisms of the social resources that contribute to immigrant health across peoples’ lifespans. Full article

Watermelon chlorotic stunt virus (WmCSV), a bipartite begomovirus, poses a severe and expanding threat to global cucurbit and watermelon production, driving an urgent need to unravel its genetic diversity indices and evolutionary complexities. To elucidate its evolutionary history, this study investigated the genetic diversity, evolutionary dynamics, and global dispersal of its genomic components, DNA-A (WmA) and DNA-B (WmB). The analyses uncovered striking contrasts between the components. WmB exhibited markedly greater genetic diversity (π = 0.0508 vs. 0.0119 for WmA), a slightly faster evolutionary rate (1.26 × 10⁻⁴ vs. 1.44 × 10⁻³ substitutions/site/year), and a far more complex recombination profile, with 34 events detected compared to only one in WmA. The abundance of recombination breakpoints in WmB underscores its central role in shaping genomic variability and adaptive potential. Phylogenetic analyses of both components unveil eight robustly supported clades per segment, predominantly shaped by geographical boundaries, hinting at localized evolutionary trajectories with constrained long-distance gene flow, with the exception of Oman. Bayesian time-scaled phylogenies and phylogeographic reconstructions further illuminate distinct dissemination pathways, suggesting an intriguing origin, with WmA likely emerging from the United States and WmB tracing back to Saudi Arabia, while the Middle East emerges as a dynamic epicenter for regional spread and subsequent incursions into the Americas. Together, these findings reveal contrasting evolutionary forces driving WmCSV diversification and provide critical insights into its origins and ongoing global emergence. Full article

Microbially induced calcium carbonate precipitation (MICP) is recognized as a promising, environmentally sustainable technology with diverse applications in environmental engineering. A bibliometric analysis of 5373 publications indexed in Web of Science from 2005 to 2024 was conducted using CiteSpace and VOSviewer to identify research trends and hotspots in biomineralization and calcium carbonate (CaCO₃) studies. The results showed exponential growth in publications, increasing from 96 in 2004 to 397 in 2024 and spanning 91 interdisciplinary research areas. China, United States of America, and Germany were identified as the leading contributors. Research evolution was categorized into five distinct phases, progressing from initial crystal formation investigations to the current emphasis on underlying microbial mechanisms. Trend analysis revealed four emerging research hotspots: interfaces (0.22), crystal morphology (0.18), amorphous calcium carbonate (0.05), and bacteria (0.02). Mechanisms of MICP across bacteria, fungi, and algae were examined, revealing diverse metabolic pathways, including urea hydrolysis, denitrification, and photosynthesis. These findings suggest a paradigm shift in research toward microbial diversity and the role of extracellular polymeric substances. This shift provides valuable insights for developing sustainable biotechnological applications in environmental remediation. Full article