Smart farming integrates digital technologies to optimize agricultural production and promote sustainability. Its impact depends both on technological development and adoption by farmers. Research shows significant progress, but technical and socio-behavioral gaps remain, requiring integrated approaches to strengthen its contribution to the SDGs. In this context, scientific research on smart farming has grown significantly, becoming a key axis for the fulfillment of the Sustainable Development Goals (SDGs). The aim of this study was to analyze the evolution, structure, and impact of scientific production in smart farming, identifying its main trends, authors, journals, and contributions to the SDGs. To this end, a bibliometric analysis was applied to 1580 articles indexed in the Web of Science (WoS) database, using productivity, citation, and impact indicators based on Price’s, Lotka’s, Bradford’s, and Zipf’s laws, as well as the Hirsch index. The results reveal important growth in scientific production between 2014 and 2024, with a strong concentration in high-impact journals and international collaboration networks. In conclusion, smart farming represents an engine of innovation and sustainability, integrating science, technology, and digital management to address the global challenges of food security, climate change, and sustainable development.

Objectives: The aim of this study was to evaluate the levels of physical literacy (PL) in school children (10 to 16 years) in Santiago, Chile, and to explore the relationship between PL and body mass index (BMI). In addition, gender and age differences were analyzed in relation to PL levels in a context where childhood obesity remains a public health challenge. Methods: A total of 439 students in grades 5–8 were assessed using the Canadian Assessment of Physical Literacy-2 (CAPL-2) questionnaire. Demographic variables (sex, age, and BMI) were correlated with levels of motivation to engage in physical activity and physical activity knowledge. Chi-square and effect size were applied. Results: The results revealed a significant correlation between motivation for physical activity and gender, with boys showing higher levels of motivation than girls (χ² = 12.403, p < 0.006). In addition, an inverse relationship was observed between BMI and motivation (effect size = 0.198), suggesting that more motivated children tend to have a healthier BMI. Knowledge about physical activity increased with age (χ² = 60.460, p < 0.001) but did not have a significant influence on BMI. Conclusions: The findings highlight the need to design gender-specific interventions that enhance motivation as a key factor in promoting a healthy lifestyle and physical activity adherence. Public health strategies should include motivation-driven approaches to foster physical literacy and long-term engagement in physical activity, particularly for girls, to address pediatric health challenges in Chile. Public health policies should address these factors to improve pediatric health outcomes.

Smart farming has established itself as a strategic field in the digital and sustainable transformation of the agri-food sector. The rise of technologies such as the Internet of Things (IoT), artificial intelligence (AI), machine learning, big data, and blockchain has revolutionized production systems, improving efficiency, sustainability, and adaptability to climate change. In this context, scientific research on smart farming has grown exponentially, becoming a key axis for the fulfillment of the Sustainable Development Goals (SDGs). The objective of this study was to analyze the evolution, structure, and impact of scientific production in smart farming, identifying its main trends, authors, journals, and contributions to the SDGs. To this end, a bibliometric analysis was applied to 1,580 articles indexed in the Web of Science (WoS) database, using productivity, citation, and impact indicators based on Price's, Lotka's, Bradford's, and Zipf's laws, as well as the Hirsch index. The results reveal important growth in scientific production between 2014 and 2024, with a strong concentration in high-impact journals and international collaboration networks. In conclusion, smart farming represents an engine of innovation and sustainability, integrating science, technology, and digital management to address the global challenges of food security, climate change, and sustainable development.

Background: Alzheimer’s disease (AD) is a complex neurodegenerative disorder and a major global health challenge. The traditional “one drug–one target” paradigm has shown limitations in addressing its multifactorial nature. Multitarget-directed ligands (MTDLs), designed to modulate multiple pathological pathways, have emerged as a promising therapeutic strategy. Objectives: To examine the structural, thematic, and temporal evolution of multitarget strategies for AD treatment between 2006 and 2025. Methods: A total of 1184 Web of Science-indexed articles were analyzed. Publication growth, h-index, author productivity, institutional and national contributions, and keyword co-occurrence networks were evaluated using VOSviewer. Bibliometric laws (Price, Bradford, Zipf, and Lotka) were applied to characterize productivity patterns and thematic organization. Results: Multitarget research shows exponential growth, suggesting a consolidation of the MTDL paradigm. China, India, the United States, Italy, and Spain were the most productive countries. Early studies focused on cholinesterase inhibition, particularly acetylcholinesterase-based hybrids. The field expanded to include β-amyloid aggregation, oxidative stress, metal chelation, and blood–brain barrier permeability. Recent trends emphasize integration of computational approaches, including molecular docking, molecular dynamics, virtual screening, and network pharmacology, alongside targets such as BACE1 and GSK-3β. Conclusions: Multitarget strategies have evolved toward a systems-oriented framework. Despite advances, challenges remain in reducing cholinesterase dependency and improving translational validation. This study provides a framework to interpret therapeutic evolution and guide future network-based drug design.

Smart farming (SF) integrates digital technologies, automation, and data analytics to enhance agricultural decision-making and sustainability. However, adoption in emerging economies remains limited due to structural constraints. This study examines the determinants of SF adoption intention in Honduras using an extended Technology–Organization–Environment (TOE) framework that incorporates technological attributes, farm manager characteristics, organizational factors, and business environmental conditions. A cross-sectional survey of 313 agricultural workers, mainly young and female, was analyzed using partial least squares structural equation modeling (PLS-SEM). The model explained 80.8% of the variance in adoption intention. Among the eleven hypothesized predictors, only government support and changes in the digital environment showed significant positive effects. Technological factors, managerial capabilities, organizational conditions, and competitive pressure were not significant. These findings indicate that, in structurally constrained agricultural systems, external enabling conditions—particularly institutional support and digital infrastructure—play a decisive role in shaping adoption intention. The results highlight the need for policies that strengthen rural connectivity, technical training, financing mechanisms, and institutional assistance to facilitate effective implementation of smart farming technologies. The study validates the TOE framework in an emerging economy and underscores the contextual variability of its explanatory dimensions.

Objectives: The aim of this study was to evaluate the levels of physical literacy (PA) in primary school children in Santiago, Chile, and to explore the relationship between PA and body mass index (BMI). In addition, gender and age differences were analyzed in relation to PA levels in a context where childhood obesity remains a public health challenge. Methods: 439 students in grades 5-8 were assessed using the Canadian Assessment of Physical Literacy - 2 (CAPL-2) questionnaire. Demographic variables (sex, age, and BMI) were correlated with levels of motivation to engage in physical activity and physical activity knowledge. Chi-square were applied with acceptable significance p<0.050 and good p<0.010. Results: The results revealed a significant correlation between motivation for physical activity and gender, with boys showing higher levels of motivation than girls. In addition, an inverse relationship was observed between BMI and motivation, suggesting that more motivated children tend to have a healthier BMI. Knowledge about physical activity increased with age, but did not have a significant influence on BMI. Conclusions: The findings highlight the need to design gender-specific interventions to promote PA and physical activity adherence, with motivation being a key factor in promoting a healthy lifestyle. Public health policies should address these factors to improve pediatric health in Chile.