Search Results (121)

Background/Objectives: Cognitive impairment in older adults has emerged as a growing public health concern, particularly in relation to COVID-19 infection and its associated neuropsychiatric symptoms. The identification of modifiable risk factors may contribute to the development of targeted preventive strategies. This study aimed to assess predictors of cognitive impairment in older adults with and without recent SARS-CoV-2 infection. Methods: A prospective cohort study was conducted from June 2023 to March 2024 at a tertiary hospital in western Mexico. Adults aged 65 years or older with confirmed SARS-CoV-2 infection within the previous six months, along with uninfected controls, were enrolled. Cognitive function (Mini-Mental State Examination), depression (PHQ-9), anxiety (Geriatric Anxiety Inventory), insomnia (Insomnia Severity Index), functional status (Katz Index and Lawton–Brody Scale), and laboratory markers were evaluated at baseline, three months, and six months. The primary outcome was cognitive impairment at six months. Independent predictors were identified using a multivariable generalized linear mixed-effects model. Results: Among the 111 participants, 20 (18.8%) developed cognitive impairment within six months. Low serum magnesium (adjusted risk ratio [aRR] 2.73; 95% CI 1.04–7.17; p = 0.041) and depression (aRR 5.57; 95% CI 1.88–16.48; p = 0.002) were independently associated with a higher risk. A significant synergistic among COVID-19, depression, and hypomagnesemia was observed (RR 44.30; 95% CI 9.52–206.21; p < 0.001), corresponding to the group with simultaneous presence of all three factors compared to the group with none. Conclusions: Depression and hypomagnesemia appear to be independent predictors of cognitive impairment in older adults with recent COVID-19 infection. These findings suggest potential targets for prevention and support the implementation of routine neuropsychiatric and biochemical assessments in this population. Full article

Background/Objectives: This study aimed to explore how stressors and facilitators within the work–family interface (WFI) influence mental health outcomes among farming women in rural Chile. The research sought to identify key relational patterns and contextual determinants shaping psychological well-being in this population. Methods: An exploratory mixed-methods design was employed, involving 41 semi-structured interviews analyzed using grounded theory. Qualitative themes were quantified by calculating the percentage of occurrence per interview, allowing for comparative analysis. Pearson correlation and principal component analysis (PCA) were used to examine associations among WFI dimensions and mental health-related variables. Results: Strong and statistically significant correlations emerged between institutional and community facilitators (r = 0.664, p < 0.01) and between gender facilitators and family workload stressors (r = 0.609, p < 0.01). PCA revealed two distinct patterns: women who rely on institutional support often resist traditional family roles, while others find balance through familial support systems. The gendered distribution of caregiving and productive tasks was a key factor in psychological well-being, with some women reporting physical discomfort linked to triple workloads. Conclusions: The dynamics of the WFI in rural contexts are shaped by both sociocultural and institutional factors. The findings highlight the need for culturally sensitive mental health policies that acknowledge and respond to the lived experiences of farming women. Full article

“Know that in place of a heart I carry a tongue,” writes the unnamed poetic speaker of Mexican poet Balam Rodrigo’s Central American Book of the Dead. This documentary poetic text alternates between the voices of Central American immigrants journeying north and a subtle yet bold revision of Fray Bartolomé de las Casas’s A Brief Account of the Destruction of the Indies, with some words from the Friar’s 1552 text replaced by other words that reflect the realities of twenty-first century immigrants traveling north. Interspersed with de la Casas’s texts are persona poems in which we are invited to listen to the ghosts of immigrants who have suffered tragic deaths. This essay explores the ways that, crossing borders between time and space while drawing strength from his Christian faith, Rodrigo resists the erasure of Indigenous peoples, honors their journeys, and invites readers into solidarity. Full article

The ongoing global population growth and the corresponding rise in energy demand have contributed to increased greenhouse gas (GHG) emissions. The integration of alternative, locally sourced energy solutions such as biogas presents a promising strategy to partially offset conventional energy consumption. In this context, countries like Colombia—characterized by a high availability of organic waste such as palm oil mill effluent (POME), rice straw, and pig manure—have the potential to harness these residues for biogas production. This study integrates experimental assays of anaerobic co-digestion tests with the spatial analysis of substrate distribution through GIS tools, enabling the identification of optimal regions for biogas production. Methane yields reached 412 mL CH₄/g VS, comparable or superior to those reported in similar studies. In addition to laboratory assays, Geographic Information System (GIS) tools were used to generate a weighted heatmap index based on feedstock availability (POME, rice straw, pig manure) across 40 municipalities in Colombia. This integrated approach supports decentralized renewable energy planning and helps identify optimal locations for biogas plant development. Full article

Hurricanes are major drivers of forest structure in the Caribbean. In 2017, Hurricane Maria caused substantial damage to Puerto Rico’s forests. We studied forest structure variation across 75 sites at Las Casas de la Selva, a sustainable forest plantation in Patillas, Puerto Rico, seven years after Hurricane Maria hit the property. At each site we analyzed 360° photos in a 3D VR headset to quantify the vertical structure and transformed them into hemispherical images to quantify canopy closure and ground cover. We also computed the Vertical Habitat Diversity Index (VHDI) from the amount of foliage in four strata: herbaceous, shrub, understory, and canopy. Using the Local Bivariate Relationship tool in ArcGIS Pro, we analyzed the relationship between forest recovery (vertical structure, canopy closure, and ground cover) and damage. Likewise, we analyzed the effects of elevation, slope, and aspect, on damage, canopy closure, and vertical forest structure. We found that canopy closure decreases with increasing elevation and increases with the amount of damage. Higher elevations show a greater amount of damage even seven years post hurricane. We conclude that trees in the mixed tabonuco/plantation forest are more susceptible to hurricanes at higher elevations. The results have implications for plantation forest management under climate-change-driven higher intensity hurricane regimes. Full article

We present a study that addresses the critical need for a prototype Decision Support System for forest fire information and management in Uttarakhand, India. The study’s main objective was to carry out statistical analysis of large fire incident datasets to understand trends of fires in the region and develop essential spatial decision support tools. These tools address the necessary fire management decision-making along with comprehensive datasets that can enable a decision maker to exercise better management. Moreover, this DSS addresses three major components of forest fire decision support: (i) pre-fire (forest information visualization) tools, (ii) during-fire terrain-based spatial decision support tools, and (iii) post-fire restoration tools. The efforts to develop this DSS included satellite lidar dataset-based fuel load estimations, the Keetch–Byram Drought Index, and the integration of spatial tools that ensure better spatial decisions in fire suppression planning. In addition, based on the bibliographic literature, the study also uses ecological and community-based knowledge, including financial aspects, for fire prevention and post-fire restoration planning. The development of this DSS involves an open-source R Shiny framework, enabling any decision maker at the execution or planning level to access these key datasets and simulate the spatial solutions cost-effectively. Hence, this study aimed to internalize key decision support tools and datasets based on extensive statistical analysis for data-driven forest fire planning and management. Full article

This article focuses on the life writing narratives of diasporic writers in Europe, such as the Italian writer of Somali descent Igiaba Scego, who, through her writing and public role, manages to create powerful interventions on issues of belonging, diversity, and creativity, contributing to a renewed understanding of gender knowledge and cultures of equalities in localized as well as global contexts. This article focuses on her role as a writer as well as a postcolonial intellectual, as she is not just a spokesperson for her community, nor simply a promotor of universal values, but someone who straddles complex positionalities in their location in imperial–colonial orders. We align ourselves with the notion of postcolonial intellectuals as those who speak truth to power on issues of cultural integration and gender equalities). In her autobiographical work titled La mia casa è dove sono, published in 2010, Scego draws a subjective map of different places inhabited by her family: Somalia, Italy, and Great Britain, contributing to the understanding of unbelonging and transnationalism through topics of migration, biculturalism, gender, race, and identity. Full article

Water scarcity in the Mediterranean significantly affects the sustainability of citrus cultivation in eastern Sicily, a key production area in Italy. Innovative monitoring approaches are crucial for assessing citrus water status and applying precise irrigation strategies. This study evaluates the potential of low-cost proximal sensors based on thermal infrared (TIR) (e.g., canopy temperature, T_c; ΔT; crop water stress index, CWSI) and visible near-infrared (VNIR) (e.g., normalized difference vegetation index, NDVI) data, combined with stem water potential (SWP), for determining citrus water status proxies across four fields under different water regimes (full irrigation, FI, and deficit irrigation, DI) and cultivar/rootstock combinations. Temporal and spatial differences were detected for most variables during the irrigation season. A 6% decrease in NDVI corresponded to higher T_c values in July (up to 37.6 °C). CWSI highlighted cumulative water deficits, reaching 0.65 ± 0.15 in September. More negative SWP values (−1.91 ± 0.38 MPa) were found under DI compared to FI (−1.70 ± 0.17 MPa) conditions. Microclimatic differences influenced ΔT, with lower values in fields 3–4, despite site-specific SWP, NDVI, and T_c variations. The use of VNIR and TIR tools provided valuable insights for describing the spatial and temporal variability of citrus water status indicators under Mediterranean conditions, supporting their sustainable irrigation management. Full article

Avocado cultivation is displacing traditional coffee production in Veracruz, Mexico. This change modifies the floristic composition and agronomic management (AM), both of which are affected by socioeconomic factors and generate variation in edaphic conditions. The objective of this research was to identify the socioeconomic variables that modify the characteristics of the AM of avocado and coffee systems and have repercussions on the carbon and nitrogen pools. Four case studies were analyzed: a renovated coffee polyculture (SRC), severely cleaned coffee polyculture (IPC), avocado–coffee system (ACS), and conventional avocado orchard (CAO). A socioeconomic analysis was carried out with a 30-year economic projection and 56 variables. Three plots were installed where vegetal biomass carbon (VBC) was evaluated; soil samples were taken in theses plots at three depths (in triplicate) to determine soil organic carbon (SOC) and total soil nitrogen (TSN) in each case. A principal component analysis (PCA) was performed. Four economic variables explain 50.9% of the variation in agronomic management and five social variables 50.2%, in both cases where the component is considered. In all systems, the variation in VBC is explained by the agronomic management, while the reported SOC presents an inverse relationship with AM. The ACS presents the higher values in total C in the system, and SOC and TSN pools, while the CAO shows negative impacts concerning soil organic matter quality. The ACS is sensitive to investment, market diversity, education, and external organic residue addition, explaining the variations in AM and the TSN pools. Full article

The presence of malnutrition in early life is a determining factor in the onset of metabolic alterations and chronic diseases in adults. Therefore, the objective of this study was to determine the impact of malnutrition in early childhood with the presence of cardiometabolic risk factors in adulthood in marginalized populations from Chiapas, Mexico. The present investigation was based on a prospective cohort study that began in 2002, with young adults aged 18 to 25 years belonging to De Los Bosques region in Chiapas, Mexico. Sociodemographic, anthropometric, clinical and biochemical data were obtained in adulthood. Binary logistic regression models with 95% confidence intervals were fitted to assess the association between nutritional status in childhood (≤5 years of age) and cardiometabolic risk in adulthood. Individuals with overweight/obesity in childhood were more likely to have overweight/obesity (OR = 2.65, 95% CI: 1.09–6.45), high waist circumference (3.78, 95% CI: 1.55–9.24), high waist to height ratio (OR = 5.38, CI 95%: 1.60–18.10), elevated total cholesterol (OR = 3.95, 95% CI: 1.36–11.43) and metabolic syndrome (OR = 4.71, 95% CI: 1.49–14.90) in adulthood. In conclusion, malnutrition presented in early childhood increased the probability of developing cardiometabolic alterations in young adults from southern Mexico. Full article

Citrus nurseries significantly increase production costs due to the application of strictly technical and sanitary protocols. The growth media used are generally based on peat, a limited resource that is becoming increasingly scarce and consequently more expensive. Among the alternatives to peat is biochar, which could constitute a valid growing medium component for citrus seedling production. Three growth media were compared, each containing 50% sandy volcanic soil and the remaining 50% being: (i) biochar 50%; (ii) black peat 25% + biochar 25%; and (iii) black peat 25% + lapillus 25% as the control. The impact on the agronomic performance of citrus seedlings was assessed, and the involvement of specific genes in macronutrient uptake was evaluated. Destructive and molecular analyses were performed on leaves and roots during two different periods of the year: February and April. Based on physicochemical parameters and seedling growth, it can be assumed that peat can be partially substituted by conifer wood biochar in a total amount of 25 or 50%. A general comparison of the averages from the sampling and the various analyzed substrates revealed that in February, the evaluated genes involved in the absorption and transport of nutrients were differentially expressed in both leaves and roots, while in April, the expression was not consistent. Additionally, a general comparison between the analyzed tissues showed that, in most cases, expression was higher in the roots than in the leaves. Overall, a comparison among plants grown in different substrates indicated that the medium with 50% biochar displayed the highest expression levels. Full article

Mexico is home to 14 species of lagomorphs, 6 of which are endemic. Studies on diseases affecting native lagomorphs are scarce, and in most cases, the impact on their populations remains largely unknown. Rabbit hemorrhagic disease virus (RHDV), especially the RHDV2 variant, causes a serious and extremely contagious disease, resulting in high mortality rates and major declines in wild lagomorph populations. The objectives of this study were to identify disease hotspots and critical biodiversity regions in Mexico through the combined use of disease information and lagomorph distribution maps and to determine the areas of greatest concern. In total, 19 states of Mexico recorded RHDV2 from April 2020 to August 2021, and 12 of them reported the wild species Sylvilagus audubonii, Lepus californicus, and unidentified Leporidae species. The distribution of RHDV2 in Mexico can be closely predicted from climatic variables. RHDV2 hotspots are located in the central-southern area of the Mexican Highlands and the Trans-Mexican Volcanic Belt, where the virus affects multiple species. This knowledge is essential for proposing specific actions to manage and preserve lagomorph populations at risk and address these issues as soon as possible. Full article

This study evaluates the antimicrobial efficacy of chitosan nanoparticles (CNPs), varying in size, against clinical isolates of Mycobacterium tuberculosis (MTB), E. coli, S. aureus, E. faecalis, and C. albicans, as well as the antimicrobial effects of aqueous extracts and lyophilized powders of Allium (garlic) species. CNPs were synthesized through ionotropic gelation and characterized by Z potential, hydrodynamic diameter (dynamic light scattering, DLS), and SEM. Aqueous garlic extracts were prepared via decoction. We assessed antimicrobial activity using disk diffusion and broth microdilution methods; in addition, a modified agar proportion method in blood agar was used for antimicrobial activity against MTB. CNPs inhibited MTB growth at 300 μg for 116.6 nm particles and 400 μg for 364.4 nm particles. The highest antimicrobial activity was observed against E. faecalis with nanoparticles between 200 and 280 nm. Allium sativum extract produced inhibition for C. albicans at 100 μg. The results indicate that CNPs possess significant antimicrobial properties against a range of pathogens, including MTB, at high concentrations. On the other hand, aqueous Allium sativum extracts exhibited antimicrobial activity. Nonetheless, due to their instability in solution, the use of lyophilized Allium sativum powder is preferable. Full article

Background: Museums and cultural institutions are increasingly aware of the needs and interests of the society they serve. Simultaneously, these institutions play a more significant role in public health and well-being, such as by conducting activities for people with cognitive impairment. Moreover, they prioritize their contribution to achieving the Sustainable Development Goals set by the United Nations within the framework of the 2030 Agenda, thus connecting both objectives. Method: A comparative case study was conducted to determine how the characteristics of cultural institutions conducting activities for individuals with cognitive impairment can affect their outcomes and promote well-being, inclusion, and equity. Data-collection techniques included non-participant observations, interviews, and document reviews. Results: This research suggests that certain characteristics of cultural institutions can influence the management and execution of cultural activities aimed at people with cognitive impairment, as well as their ability to promote well-being, inclusion, and equity. Conclusions: The characteristics of cultural institutions influence the management and execution of cultural activities aimed at people with cognitive impairment, as well as their impacts and benefits. Collaboration between diverse institutions enhances outcomes, promoting well-being, inclusion, and equity among participants. Full article

The Hansen problem is a classic and well-known geometric challenge in geodesy and surveying involving the determination of two unknown points relative to two known reference locations using angular measurements. Traditional analytical solutions rely on cumbersome trigonometric calculations and are prone to propagation errors. This paper presents a novel framework leveraging geometric algebra (GA) to formulate and solve the Hansen problem. Our approach utilizes the representational capabilities of Vector Geometric Algebra (VGA) and Conformal Geometric Algebra (CGA) to avoid the need for tedious analytical manipulations and provide an efficient, unified solution. We develop concise geometric formulas tailored for computational implementation. The rigorous analyses and simulations that were completed as part of this work demonstrate that the precision and robustness of this new technique are equal or superior to those of conventional resection methods. The integration of classical concepts like the Hansen problem with modern GA-based spatial computing delivers more intuitive solutions while advancing the mathematical discourse. This work transforms conventional perspectives through methodological innovation, avoiding the limitations of prevailing paradigms. Full article