Search Results (10,361)

Over the past few decades, conversions to Islam in Colombia have increased significantly, with Latin American “indigenous” Muslims (converts or direct descendants of converts) now forming the majority in most mosques, congregations and Islamic centers. These conversions arise from various motivations, including spiritual exploration, intellectual curiosity, and relational or emotional factors, often intertwined. A distinction can be drawn between “collective conversions,” where dozens of individuals in a given area embrace Islam together, and “individual conversions,” which are more dispersed and numerous. This article goes beyond examining the motivations and conditions of these conversions to explore the emergence of an “indigenous Islam” in Colombia and the dynamics surrounding the development and assertion of local Muslim communities, primarily composed of converts. Key challenges for these communities include negotiating knowledge and legitimacy within mixed groups of migrants and “indigenous” Muslims, constructing a plural identity that blends local (Latin American) social and cultural elements with Islamic references, including a sense of belonging to the universal Ummah, and contextualizing religious norms and discourses in light of the local social realities. Furthermore, this study delves into the critical issue of sustaining these small, often fragile communities over time. Drawing on fieldwork and qualitative analysis, this paper aims to provide insights into how Islam is being understood, lived, and rooted in a predominantly Catholic and secular Colombian society, contributing to broader discussions on religion, identity, and social change in Latin America. Full article

This article examines the institutional communication of the White House on X (formerly Twitter) during the first nine months of Donald Trump’s second presidency (January–October 2025). Through a mixed-methods approach that combines thematic, network, and lexical–discursive analysis, the study explores how the presidential account (@WhiteHouse) integrates informational, emotional, and performative dimensions within a hybrid media system. The dataset comprises 4297 tweets, analysed through Graphext, NodeXL/Gephi, and Sketch Engine. The findings reveal that audiovisual and symbolic content dominate over political or policy-related topics, while financial and technological actors occupy central positions in the network of mentions. Lexical analysis highlights three semantic nuclei—Trump, President, and America—that structure a moralised and affective narrative of leadership. The results reflect that White House communication operates as a hybrid and post-bureaucratic model, where political legitimacy increasingly depends on visibility and reputational association with market logics. Full article

Cryphalus dilutus is an emerging invasive pest of tropical and subtropical regions, with Mangifera indica and Ficus carica being its primary host plants. Larval damage caused by this insect can lead to severe tree wilting, posing a direct threat to agricultural production and ecological security. Native to South Asia, C. dilutus has established introduced populations in the Near East, Mexico, and other areas. In recent years, it has invaded multiple regions, including southern China and southern Italy. Given the widespread global distribution of host plants and the intensification of climate change, their distribution ranges are expected to expand. However, research assessing the potential global geographical distribution of this pest under climate change is lacking. In this study, we used the Random Forest model to predict the potential distribution range of C. dilutus. Under historical climatic conditions between 1970 and 2000, suitable climatic regions for C. dilutus were primarily distributed across southern China, southeastern Brazil, southeastern Mexico, the Congo Basin periphery, and the Iberian Peninsula, with a total area of 12,192.42 × 10⁴ km². The Temperature Annual Range and Precipitation of Warmest Quarter were identified as key environmental determinants that shaped its distribution. Under the future RCP4.5 climate scenario projected for the 2050s, the total suitable area for C. dilutus is projected to contract. Specifically, high-, medium-, and low-suitability areas are projected to decline by 52.77%, 62.39%, and 24.02%, respectively. While the total area of the very low zones is expected to increase, the total area of the suitable region has been reduced to 11,891.17 ×10⁴ km². Future climate change is expected to drive the distribution northward to high-altitude areas and inland areas. Model projections indicate a poleward expansion of the fundamental climatic niche, with climatic suitability increasing in high-latitude and high-altitude regions, such as Northern Europe and western North America. Conversely, current core tropical habitats in the Indian subcontinent and the Amazon Basin are projected to face significant habitat degradation due to thermal stress. Agricultural regions previously considered relatively safe due to climatic constraints, such as northern China, the midwestern United States, and Eastern Europe, may face new challenges from pest infestation. These findings underscore the importance of proactive monitoring and implementation of preventive measures. This provides crucial decision support for countries and regions to formulate precise pest control strategies and offers a theoretical basis for early monitoring and prevention of cross-border invasions on a global scale. Full article

The rapid digitization of cultural heritage materials has led to the substantial growth of digital library collections, particularly large and heterogeneous archives of periodicals. This expansion has intensified challenges related to content discovery, accessibility, and user engagement. Users increasingly struggle to navigate large periodical collections and identify relevant materials. In this context, intelligent interaction with cultural content has become an essential aspect of effectively accessing and utilizing resources in modern digital libraries, highlighting the need for adaptive and user-oriented mechanisms that support navigation and discovery. Artificial intelligence-driven personalization offers promising solutions. However, digital library environments often contain sparse interaction data, evolving user interests, and continuously growing collections. These characteristics limit the effectiveness of standalone content-based or collaborative approaches. This work proposes an integrated personalization approach that combines behavioral interaction data with semantic relationships between documents to support adaptive content delivery in digital libraries. The approach facilitates the discovery of both established and newly digitized or rarely accessed materials, supporting more effective access, exploration, and reuse of large and diverse digital library collections. Full article

Adaptation economics is critical for guiding decision-makers in reducing climate vulnerability, evaluating the most suitable action while allocating scarce financial, human, and technological resources. However, this economic evaluation faces significant methodological challenges due to diverse contexts, intangible impacts, and uncertainties. This research aims to characterize academic trends, gaps, and opportunities of collaboration in the economic evaluation of adaptation over the period 2010–2023. Fifty-eight articles were selected following the PRISMA framework and were analyzed using bibliometric analysis, supported by R-Bibliometrix. Additionally, a thematic review of abstracts was conducted to identify economic evaluation approaches. Articles were included if they applied an explicit economic method. This study uses Scopus-indexed literature and abstract-based classification, which may limit generalizability. Across this corpus, the results reveal that adaptation economics, although conceptually evolved, remains geographically concentrated and methodologically fragmented. At the geographical level, research production shows 14.78% annual growth, yet this remains concentrated in the Global North, with limited participation from Latin America, Africa, and South Asia. At the conceptual level, the studies demonstrate a significant thematic transformation, moving from topics linked to diagnosis and planning toward concepts of greater complexity, such as uncertainty. In contrast, and although six methodological approaches were identified, conventional efficiency-based methods (such as cost–benefit) dominate 44.8% of applications. This analysis provides a research agenda to advance more context-sensitive and methodologically diverse economic approaches for adaptation decision-making. Recommendations include fostering South–South and South–North collaboration and developing practical and simplified decision support tools, especially for vulnerable regions. Full article

Background/Objectives: In the context of its policy of “Reinvigorating Immunization as a Public Good for Universal Health,” the Pan American Health Organization (PAHO) developed a methodology and tool (MD-PAI) to help Member States of the Americas monitor and assess the performance of their national Expanded Program on Immunization (EPI) for each of the 13 technical components that make up the program. Methods: The MD-PAI was developed in several stages, including review of existing national EPI evaluation methodologies, selection and prioritization of questions for each of the 13 EPI components, piloting of the methodology, final calibration to ensure validity, completeness, reliability, standardization, usefulness, and usability across components and across countries, and publication in the four official languages of the PAHO. Results: The implementation of the MD-PAI enables countries to collect data, document lessons learned, develop action plans to close the most urgent gaps in the short and medium term and enforce the management of the EPI as part of the continuous improvement process. Since its introduction in 2023, fourteen countries in the Americas implemented the MD-PAI, using the results for their short- and medium-term planning and budgeting. Of the 13 components of the EPI, those that have performed best are political priority and planning and programming, while social communication is the component that reported the greatest number of gaps across countries. Conclusions: The PAHO has developed a methodology and tool to help countries to assess their EPIs to identify good practices, gaps and challenges, and develop an action plan to strengthen their programs. However, the impact of vaccination coverages and the epidemiology of vaccine-preventable diseases could take time. Full article

This review analyzes the catalytic routes for the Power-to-X (PtX) conversion of hydrogen to methane, methanol, ammonia, formic acid, and synthetic hydrocarbon fuels. The key reactive synthesis technologies and catalysts for each vector are described. Recent studies and pilot projects summarizing the reaction pathways of each vector and the associated catalyst technologies are also discussed. The analysis indicates that catalyst selection critically influences the efficiency and selectivity of these reactive systems. Some catalyst synthesis routes rely on expensive critical minerals (e.g., Ru and Rh), which raise technical and economic challenges for their industrial application. Catalyst deactivation and scale-up limitations are also relevant issues to be resolved. Emerging catalysts (e.g., Fe–Co or Co–Ni bimetallics, core–shell materials, metal-organic frameworks (MOFs), electrides, covalent-organic frameworks (COFs), and perovskites) are being explored to enhance stability, selectivity, and deactivation. Europe leads PtX development to consolidate the industrial production of hydrogen-based vectors with strong policy support, while the industrial initiatives in Latin America are limited (for instance, Chile’s green methanol and ammonia projects are examples) despite its great potential to generate renewable energy. In summary, Power-to-X can store renewable energy and close the carbon loop; however, its industrial consolidation demands catalyst innovation and supportive regulatory frameworks to overcome the challenges highlighted in this review. Full article

Agrivoltaic systems integrate solar electricity generation with agricultural production on the same land and have emerged as a promising strategy to address land-use conflicts between food and energy systems. This PRISMA-based systematic review synthesizes evidence from 249 peer-reviewed studies published between 2010 and 2025, applying an integrated three-dimensional framework that simultaneously examines technical efficiency, environmental sustainability, and institutional governance. The results show that agrivoltaic systems consistently achieve superior land-use performance, with Land Equivalent Ratio values typically ranging between 1.2 and 1.8, indicating 20–80% greater territorial efficiency than separate agricultural and photovoltaic systems. In water-stressed regions, reported improvements in water-use efficiency commonly reach 15–30%, while life-cycle assessments indicate substantial reductions in greenhouse gas emissions and other environmental impacts. The integrated analysis also reveals important design-dependent trade-offs related to panel density, crop selection, and local agroclimatic conditions. Despite their demonstrated technical and environmental maturity, the large-scale deployment of agrivoltaic systems remains constrained by institutional barriers, including the lack of dedicated regulatory frameworks, fragmented agricultural and energy policies, and the strong geographical concentration of research in the Global North, with limited evidence from Latin America and other regions of the Global South. Overall, the findings indicate that agrivoltaic systems represent a credible component of integrated land-use and energy transition strategies, but their responsible scaling will depend primarily on advances in governance, policy alignment, and context-specific system design. Full article

Species composition is an important indicator for the condition, functioning, and ecosystem service provision of salt marshes, making the mapping of species composition valuable for their management. Previous studies have demonstrated that the combined use of unoccupied aerial vehicle (UAV)-mounted multispectral cameras and machine learning (ML) can provide effective mapping of vegetation communities in these habitats. However, to date, these studies have predominantly focused on relatively species-poor salt marshes in North America. There has been no published testing of these combined UAV-ML methods in the salt marshes of northwestern Europe, which contain different often more diverse assemblages. Consequently, this study investigated whether applying recent methodological advances can accurately map National Vegetation Classification communities in three locations in the United Kingdom, each comprising two salt marsh sites, one established and one restored. Sites consisted of a mix of established and restored salt marshes of different ages, enabling a complementary assessment of how these methods perform in communities at different stages of development. The applied random forest ML models were found to produce highly accurate maps of salt marsh vegetation communities, with a mean overall accuracy of 94.7%. No relationship was found between the age of restoration sites and the accuracy of the classifications, showing these methods may be applied at a range of stages of community development and offer wider applicability for saltmarsh management and monitoring. The findings of this study demonstrate that advances in the combined use of drones and machine learning provide a readily transferrable method for mapping standardised vegetation communities in both established and restored northwestern European salt marshes and therefore likely other salt marshes globally. Consequently, this study demonstrates that both researchers and practitioners may confidently use these methods to create improved assessments of both marsh condition and function. Full article

Anthurium (Araceae) is one of the most species-rich Neotropical genera, yet its infrageneric classification remains unresolved. This study tests the monophyly of the morphologically defined Anthurium sect. Pachyneurium diagnosed by rosulate habit, involute prefoliation, and absence of a collective vein with a focus on Brazilian species. Using target capture sequencing (Angiosperms353 probe set), we generated a phylogenomic dataset for 35 Anthurium species (18 from sect. Pachyneurium) and conducted maximum likelihood and coalescent-based analyses. Our results demonstrate that sect. Pachyneurium is not monophyletic as traditionally circumscribed. Brazilian species previously assigned to the section are recovered in three geographically structured and strongly supported lineages: Amazonian, Atlantic Forest, and Caatinga/Cerrado. The Atlantic Forest lineage is unexpectedly resolved as sister to A. coriaceum (sect. Urospadix), revealing an evolutionary relationship not predicted by morphology. Divergence-time estimates place the origin of crown Anthurium in the Paleocene (~62 Ma), with diversification of the Brazilian lineages occurring during the Miocene (20–3 Ma), coinciding with major geoclimatic events in South America. Our findings indicate that key diagnostic morphological characters are homoplastic and provide a phylogenomic framework for revising the infrageneric classification of Anthurium. By identifying evolutionarily distinct lineages, this study also contributes to prioritizing conservation efforts in threatened Neotropical biomes. Full article

This paper investigates the influence of rolling resistance on fuel consumption in Class 8 heavy-duty vehicles, with a focus on a modeling approach through variations in the rolling resistance coefficient ($C_{rr}$) across different driving scenarios. Leveraging TruckSim’s multibody modeling approach for vehicle dynamics and MATLAB/Simulink co-simulation capability, the study provides insights into how tire rolling resistance affects energy efficiency under varying conditions while enabling controlled, repeatable comparisons across various scenarios. Results show that across the evaluated scenarios, increases in $C_{rr}$ impact the vehicle’s speed, fuel consumption, engine torque, and crankshaft spin. Specifically, increasing $C_{rr}$ from 0.004 to 0.013 was found to lead up to 68% higher fuel consumption in high demand scenarios. These findings aim to guide efforts to optimize tire design and vehicle performance that help achieve improved fuel efficiency. Full article

Bovine tuberculosis (bTB), caused by Mycobacterium bovis, remains one of the most relevant zoonotic diseases worldwide due to its dual impact on livestock production and human health. Although zoonotic tuberculosis has been virtually eradicated from cattle in a few settings, particularly in Australia, the disease persists in much of Latin America, Africa, and Asia, where it continues to limit cattle productivity and pose a threat to public health through the consumption of unpasteurized dairy products and occupational exposure. This review integrates historical, epidemiological, clinical, and molecular perspectives of bTB, with particular emphasis on Mexico, highlighting the role of wildlife reservoirs, socioeconomic factors, and diagnostic limitations in maintaining endemicity. Recent advances in molecular epidemiology, such as PCR, MIRU-VNTR, and whole-genome sequencing, provide promising avenues for surveillance and control. Finally, we discuss the importance of adopting a One Health framework that bridges veterinary, medical, and environmental approaches to achieve sustainable control of this silent zoonosis. Full article

Over the last decade, prefabrication has emerged as a strategic alternative to address the global construction industry’s challenges concerning sustainability, productivity, and the housing deficit. This study analyzes the advances, benefits, limitations, and research gaps associated with its application in real estate projects between 2015 and 2025. A systematic literature review was conducted under the PRISMA protocol, which allowed for the selection of 58 high-quality articles sourced from Scopus, Web of Science, SciELO, and Redalyc. The findings highlight Asia as the leader in innovation and industrialization, while Latin America is identified as an emerging region with applications in social housing, education, and modular infrastructure. Reported benefits include reduced time and costs, improved environmental performance, and the integration of digital technologies such as BIM, 3D printing, and digital twins. Nevertheless, regulatory gaps, cultural resistance, and limited coordination among industry, government, and academia persist. The study concludes that prefabrication constitutes a transformative engine for the real estate sector, but its consolidation requires stronger regulatory frameworks, broader empirical research in Latin America, and the adoption of circular economy and digitalization strategies to ensure a sustainable and socially accepted impact. Full article

An increasing number of municipalities are adopting urban digital twins (UDTs) to improve urban management. Although the models differ widely, municipalities face similar challenges in their implementation. Therefore, sharing insights on UDTs provides an opportunity for collective growth. To facilitate this growth, the present exploratory study maps the characteristics, challenges, and potentials of 99 UDTs in Europe, North America, and Asia. We first estimate the UDT readiness based on established features, along with contextual and local authority involvement indicators. Next, we conduct semi-structured interviews with key individuals from eight selected cities to contextualize the review findings. The mapping results indicate that most UDTs in our sample operate at the municipal level, and that over half (57%) are not in series operation. The reviewed UDTs are mid-level in maturity, and local authority involvement is a key driver of scalability. We infer that UDT progress depends as much on common frameworks, organizational readiness, governance capacity, and relevant data as on technology. Collaborations with private companies and researchers can play a central role in the long-term sustainment and growth of UDT infrastructures. Full article

Background/Objectives: Mental disorders are a growing public health concern in Latin America, particularly among marginalized populations. This study aimed to identify the prevalence and associated risk factors of mental disorders in Afro-descendant communities of the Río Chota Basin, a historically excluded population facing persistent social and economic inequalities. Methods: A cross-sectional descriptive study was conducted in several rural communities using random sampling. A total of 557 participants were assessed for sociodemographic factors and mental health status using the following validated instruments: the Global Mental Health Assessment Tool–Primary Care (GMHAT/PC), the International Physical Activity Questionnaire (IPAQ), and the WHO STEPS questionnaire. Data was analyzed using descriptive statistics and inferential tests to determine associations between psychosocial, behavioral, and socioeconomic variables and the presence of mental disorders. Results: The overall prevalence of mental disorders was extremely high (60.7%), exceeding national and regional estimates. The most prevalent conditions were major depressive disorder (15.6–17.9%), anxiety disorders (10.2–12.3%), and psychosis with depressive symptoms (8.3–11.5%), with higher rates among women. Low fruit and vegetable intake and income below the minimum wage were significantly associated with greater prevalence. Severe stress and experiences of abuse or maltreatment showed the strongest associations with mental disorders (p < 0.001). Conclusions: Afro-descendant communities in the Río Chota Basin experience a disproportionately high burden of mental illness influenced by intertwined socioeconomic, psychosocial, and behavioral determinants. Culturally sensitive interventions that promote resilience, community support, and reduction in structural inequalities are urgently needed. Full article