Search Results (134)

The climate emergency in Latin America and the Caribbean (LAC) has transformed sustainability from an aspirational goal into a strategic imperative, particularly in the context of decoupling economic growth from natural capital depletion. This research analyzes eco-innovation within the frameworks of the National Innovation System (NIS), open innovation, and absorptive capacity, with the objective of examining the moderating role of collaboration in overcoming financial, knowledge, and market-related obstacles to innovative behavior. Employing a quantitative methodology using firm-level microdata from the Latin American Harmonized Innovation Surveys (LAIS) between 2007 and 2017, this study focuses on eco-innovative outcomes specifically linked to reductions in energy and material consumption. By estimating models that assess the role of technical cooperation and public policy support, this study seeks to determine whether collaborative strategies operate as an effective buffer against uncertainty and the limitations of local innovation systems. Expanding the scope of previous analyses centered on a single country, this work provides a regional perspective that underscores institutional and sectoral disparities in emerging contexts. Ultimately, this research examines how integrating an environmental purpose into corporate strategy and strengthening absorptive capacity enable LAC firms to transform ecological pressures into sustainable competitive advantages, mitigating the barriers that traditionally hinder technological progress in the region. Full article

Introduction: Health problems related to cardiovascular morbidity and mortality are overrepresented in patients with schizophrenia (SCH) and their rates have not declined in parallel with those of the general population. Cardiovascular diseases in patients with SCH are less likely to be diagnosed and treated, and data regarding structural and functional cardiac abnormalities—particularly those involving the left atrium (LA)—remain limited in this population. The present study is the first to provide a detailed three-dimensional speckle-tracking echocardiography (3DSTE)-derived volumetric and functional evaluation of LA properties in patients with chronic SCH compared with age-, gender- and body mass index (BMI)-matched healthy controls (HCs). Methods: A total of 36 patients with SCH were initially enrolled, from which 19 subjects (53%) were excluded due to inferior image quality. Ultimately, 17 SCH patients (mean age: 45.2 ± 7.7 years; 9 males, 53%) were compared with 40 age- and gender-matched HCs (mean age: 42.5 ± 5.7 years; 23 males, 58%). All participants underwent comprehensive two-dimensional Doppler echocardiography and 3DSTE. Results: LA volumes respecting the cardiac cycle were lower in SCH patients compared with controls. Among LA volume-derived functional properties, total and active LA stroke volumes were reduced in patients with chronic SCH, whereas passive LA emptying fraction was increased. All global and mean segmental peak LA strain parameters tended to be increased in SCH patients, with global and mean segmental LA area strain (AS) and mean segmental LA radial strain (RS) reaching statistical significance. Regarding regional peak LA strains, basal LA circumferential strain (CS) and LA-AS, as well as superior LA longitudinal strain (LS), LA-CS, and LA-AS, differed significantly between the groups. All global and mean segmental LA strain parameters measured at atrial contraction tended to be increased in chronic SCH patients, with global and mean segmental LA-AS and mean segmental LA-RS and LA-LS reaching statistical significance. Regional LA strains during atrial contraction demonstrated increased superior LA-RS, LA-CS, LA-LS and LA-AS, along with elevated mid-atrial LA-RS, LA-AS and LA-3D strain. All these abnormalities suggest reduced LA volumes in all phases of LA function, accompanied by overcompensating functional alterations. Conclusions: Chronic schizophrenia is associated with marked volumetric and functional abnormalities of the left atrium. These findings highlight the need for comprehensive cardiac functional evaluation extending beyond left ventricular-centered analysis in patients with this severe mental illness. Full article

The deployment of agricultural inputs considerably influences national agrarian output, which is a key driver of economic growth. This study contributes to the literature by examining how changes in crop yield growth reflect resource allocation in agricultural production. Data spanning 1994 to 2019, obtained from the World Bank, were used to examine the impact of agricultural input productivity on agricultural output. The 26-year time-series data were employed for the Organization for Economic Co-operation and Development (OECD) and Latin American Caribbean (LAC). The findings from the Autoregressive Distributed Lag model, along with the Vector Error Correction Model, reveal a negative but significant long-term impact of agricultural land use on crop yields in OECD, and a negative and insignificant impact in LAC countries. Moreover, agricultural land use showed a positive but insignificant short-run effect on crop yield in OECD countries, while a negative and insignificant short-run effect was observed in LAC countries. This study highlights disparities in agricultural productivity drivers between OECD and LAC regions. By linking productivity dynamics with input utilization, the analysis provides policy-relevant insights for improving sustainability, food security, and agricultural productivity. Full article

This study seeks to elucidate the precise modulation of laser-assisted cold spray (LACS) particle deposition and to provide guidance for optimizing process parameters in LACS. While LACS has been shown to improve coating quality, the underlying roles of laser-induced thermal softening in particle deformation, impact energy redistribution, and interfacial bonding of 6061 Al alloy remain unclear. Here, multiscale finite element simulations and experiments were combined to investigate single-particle impact and coating build-up under different laser powers. The results indicate that laser assistance enhances thermal softening, leading to stronger radial spreading, more pronounced jetting, and a larger bonding interface. The simulations show that laser heating expands the thermal softening zone and shifts impact energy dissipation from the particle to the substrate, thereby reducing elastic rebound and promoting stable deposition. TEM analysis confirms dynamic recrystallization at the particle interface under all conditions, while higher laser power broadens the recrystallized region from approximately 0.7 μm to about 1.5 μm and promotes grain growth without causing additional oxidation. Moreover, coating porosity decreases from 3.1% to 1.0% with increasing laser power, whereas nanohardness decreases from 1.43 GPa to 1.24 GPa due to the increased contribution of thermal softening. Overall, the study demonstrates that the beneficial effect of laser assistance originates from thermally activated interfacial localization and energy redistribution, offering a mechanistic framework for optimizing the deposition of difficult-to-deposit aluminum alloys. Full article

We examine how structural characteristics of health systems in Latin America and the Caribbean (LAC) shape access to innovative therapies, using emicizumab for hemophilia A as a case study. Although the therapy is available in the region, access remains uneven and constrained by high costs and fragmented health system arrangements. Using a descriptive structural approach, we characterize the health system configurations associated with financial coverage of emicizumab across 16 LAC countries, representing more than 85% of the regional population. Regulatory approval timelines and coverage status were described, and principal component analysis (PCA) was applied to synthesize multiple indicators into a Global Characteristics Index capturing five core health system functions: resource generation, financing, service delivery, general governance, and therapy-specific governance. Coverage is defined as formal access with explicit financial protection provided by the health system. Substantial heterogeneity was observed across countries. Regulatory approval was often achieved relatively rapidly, but this did not consistently translate into timely or comprehensive coverage. Countries with stronger structural characteristics—particularly in resource generation, service delivery, and governance—tended to achieve broader and more sustained coverage, although institutional capacity alone was not sufficient in all cases. Our results emphasize the need to strengthen health governance and adopt specific policies for rare diseases in the region. Full article

This study proposes a clinically driven hybrid segmentation framework for dense breast tissue analysis in mammographic images, addressing persistent challenges associated with intensity inhomogeneity, low-contrast, and complex tumor morphology. The framework integrates Multiplicative Intrinsic Component Optimization (MICO_2D) for bias field correction, followed by a distance-regularized multiphase Vese–Chan level-set model for coarse global tumor segmentation. To achieve precise boundary delineation, a localized refinement stage is employed using Localized Active Contours (LAC) with Local Image Fitting (LIF) energy, supported by Gaussian regularization to ensure smooth and coherent boundaries in regions with ambiguous tissue transitions. Building upon the refined semantic tumor mask, the framework further incorporates a panoptic-style tumor instance segmentation stage, enabling the decomposition of connected tumor regions into distinct anatomical instances, which were evaluated on both MIAS and INBreast mammography datasets to demonstrate generalizability. This extension facilitates detailed structural analysis of tumor multiplicity and spatial organization, enhancing interpretability beyond conventional pixel wise segmentation. Experiments conducted on Cranio-Caudal (CC) and Medio-Lateral Oblique (MLO) mammographic views demonstrate competitive performance relative to baseline U-Net and advanced deep learning fusion architectures, including multi-scale and multi-view networks, while offering improved interpretability and robustness. Quantitative evaluation using overlap-related metrics shows strong spatial agreement between predicted and reference segmentations, with per-image Dice Similarity Coefficient (DSC) and Intersection over Union (IoU) distributions reported to ensure reproducibility. Descriptive per-image analysis, supported by bootstrap-based confidence intervals and paired comparisons, indicates consistent performance improvements across images. Robustness analysis under realistic perturbations, including noise, contrast degradation, blur, and rotation, demonstrates stable performance across varying imaging conditions. Furthermore, feature space visualizations using t-SNE and UMAP reveal clear separability between cancerous and non-cancerous tissue regions, highlighting the discriminative capability of the proposed framework. Overall, the results demonstrate the effectiveness, robustness, and clinical motivation of this hybrid panoptic framework for comprehensive dense breast tumor analysis in mammography, while emphasizing reproducibility and conservative statistical assessment. Full article

Background: Carbapenem-resistant Gram-negative bacilli (CR-GNB) represent a critical threat to patients in intensive care units (ICUs), where limited therapeutic options contribute to elevated mortality. In Latin America and the Caribbean (LAC), the epidemiological burden of CR-GNB remains insufficiently characterized due to fragmented surveillance systems. This systematic review aimed to synthesize pooled prevalence estimates of CR-GNB among Gram-negative isolates recovered from ICUs across LAC countries. Methods: This systematic review was prospectively registered with PROSPERO (CRD420251177826), followed PRISMA 2020 guidelines and the JBI Manual for prevalence reviews. We searched PubMed, Scopus, LILACS, and SciELO from January 2015 to October 2025 without language restrictions. Observational studies reporting phenotypic carbapenem resistance data from ICUs in LAC countries were eligible. Two reviewers independently screened studies and extracted data. A two-level multilevel generalized linear mixed model (GLMM) with logit transformation was employed using a random-effects approach. Risk of bias was assessed using the JBI critical appraisal checklist. Results: Of 25 eligible studies spanning eight countries, 12 contributed 49 observations to quantitative synthesis. Overall pooled prevalence of CR-GNB was 28.88% (95% CI: 17.32–44.05%), with considerable heterogeneity (I² = 95.24%). Species-specific prevalence was highest for Acinetobacter baumannii (72.58%), followed by Klebsiella pneumoniae (37.48%) and Pseudomonas aeruginosa (29.93%). Regional stratification revealed higher prevalence in South America (31.81%) compared to North America (22.65%) and the Caribbean (11.63%). Conclusions: Nearly one-third of Gram-negative isolates from LAC ICUs exhibit carbapenem resistance, with A. baumannii predominating. Substantial inter-study heterogeneity underscores the need for standardized regional surveillance networks and coordinated antimicrobial stewardship initiatives. Full article

Background/Objectives: Screening instruments are relevant for assessing the mental health of older adults, favoring clinical practice and research. However, there is a need for instruments with sufficient evidence of validity for use in Latin America and the Caribbean (LAC), where they are growing. This scoping review aims to evaluate the existing evidence regarding the psychometric properties of mental health measurement instruments used with older adults from LAC. Methods: Eight databases (PubMed, CINAHL, Medline, Embase, Scielo, Scopus, Web of Science, PsycINFO) were searched to extract relevant articles about instruments to measure mental health outcomes in older adults in English, Spanish, and Portuguese. After the first screening and duplicate removal, 6307 were retrieved. Results: The full-text screening identified 312 articles for inclusion in the review. Most of the articles were from Brazil (49.04%). One hundred eighty instruments (52.79%) assessed cognition, mainly using the Mini-Mental State Examination (MMSE), followed by 11.14% for depression, most commonly with the Yesavage Depression Scale (GDS). The assessment of validity was predominantly based on two criteria (34%), and 56% of the evidence was published in the last 10 years. To improve usability, we have provided a practical guide to help LAC clinicians and researchers identify and select robustly validated and contextually appropriate assessment instruments. Conclusions: There is still little evidence of the validity of instruments that measure other aspects of mental health beyond cognitive functioning. There seems to be no unified set of criteria in Latin America for determining whether an instrument has sufficient valid evidence. More work is needed on cross-cultural validity evidence within the region. Full article

Intrinsically disordered regions enable transcription factors (TFs) to undergo structural changes upon ligand binding, facilitating the transduction of environmental signals into gene expression. In this study, we applied molecular modeling methods to explore the hypothesis that unstructured inter-domain and subdomain linkers in bacterial TFs can function as sensors for carbohydrate signaling molecules. We combined molecular dynamics simulations and carbohydrate docking to analyze six repressors with GntR-type DNA-binding domains, including UxuR, GntR and FarR from Escherichia coli, as well as AraR, NagR and YydK from Bacillus subtilis. Protein models obtained from different time points of the dynamic simulations were subjected to sequential carbohydrate docking. We found that the inter-domain linker of the UxuR monomer binds D-fructuronate, D-galacturonate, D-glucose, and D-glucuronate with an affinity comparable to nonspecific interactions. However, these ligands formed multimolecular clusters, a feature absent in the UxuR dimer, suggesting that protein dimerization may depend on linker occupancy by cellular carbohydrates. D-glucose interacted with linkers connecting subdomains of the LacI/GalR-type E-domains in GntR and AraR, forming hydrogen bonds that connected distant structural modules of the proteins, while in NagR, FarR and YydK, it bridged the inter-domain linkers and a β-sheet within the HutC-type E-domains. Hence, our results establish flexible linkers as pivotal metabolic sensors that directly integrate nutritional cues to alter gene expression in bacteria. Full article

This study presents the first systematic regional assessment of how the Historic Urban Landscape (HUL) approach has been understood and applied in Latin American and Caribbean (LAC) cities between 2011 and 2022. The HUL approach is framed as a socio-spatial perspective shaped by historical layering, cultural practices, ecological structures, and contemporary development pressures. A systematic review of academic publications and institutional gray literature (Scopus, Google Scholar, and municipal repositories) was conducted to evaluate both conceptual understanding and methodological implementation aligned with the six steps of the 2011 HUL Recommendation. Findings reveal a clear implementation gap: although awareness of the HUL approach has increased across the region, its practical application remains partial. Steps 1 and 2 focused on value identification and participatory engagement show the highest adoption, while steps 4 and 6 which require interinstitutional coordination and integration into statutory planning instruments exhibit limited progress. Academic and research institutions play a more prominent role than local governments in leading or supporting HUL-related actions, indicating persistent institutional and governance constraints. Results highlight the need to strengthen municipal capacities, integrate HUL-based diagnostics into urban planning systems, and consolidate participatory, interdisciplinary, and multilevel governance mechanisms to close the gap between conceptual uptake and operational implementation. Full article

Group A rotaviruses (RVAs) remain the leading cause of acute gastroenteritis (AGE) in young children in low- and middle-income countries. In Brazil, the oral attenuated RVA vaccine (Rotarix^®), monovalent genotype G1P[8], is distributed by the national immunization program and has drastically reduced morbidity and mortality associated with RVA etiology. In this study, Rotarix^® G1P[8] was detected using specific qRT-PCR from the fecal shedding of children living in the Amazon region, and 18.3% (29/158) were positive and 75.8% (22/29) presented with AGE. The VP4 (VP8*) gene of these sheddings, submitted to Sanger nucleotide sequencing, showed an occurrence of mutations, including the silent mutation at 144C > G (one child) and the following missense mutations— 499T > C (F167L) (two children), 644G > C (C215S) (one child), and 787G > A (E263K) (one child). These mutations had no impact on the protein model structure in silico deduced from the VP4 (VP8*) mutants. The in silico protein model deduced from the VP4 (VP8*) nucleotide sequences, bound to type 1H sugar antigens (H1) and its precursor Lac-para-N-biose (LNB), had a stronger binding to the G1P[8] genotype, when compared to G3P[8]. Rotarix^® shedding was higher in HBGA secretors than in non-secretors (79.3%; 23/29). A total of 11.4% (18/158) of children with Rotarix^® G1P[8] shedding were unvaccinated, indicating the occurrence of indirect protection. Stability evidence of Rotarix^® VP4 (VP8*) spike protein from samples collected in vivo is presented. Full article

Environmentally friendly materials with superior structural, physical, optical, and shielding capabilities are of great technological importance and are continually being investigated. In this work, novel multicomponent borate glasses with the composition xTiO₂-10BaO-5Al₂O₃-5WO₃-20Bi₂O₃-(60-x) B₂O₃, where 0 ≤ x ≤ 15 mol%, were produced via the melt-quenching technique. The increase in TiO₂ content results in a decrease in molar volume and a corresponding increase in density, indicating the formation of a compact, rigid, and mechanically hard glass network. Elastic constant measurements further confirmed this behavior. FTIR analysis confirms the transformation of BO₃ to BO₄ units, signifying improved network polymerization and structural stability. The prepared glasses exhibit an optical absorption edge in the visible region, demonstrating their strong ultraviolet light blocking capability. Incorporation of TiO₂ leads to an increase in refractive index, optical basicity, and polarizability, and a decrease in the optical band gap and metallization number; all of these suggest enhanced electron density and polarizability of the glass matrix. Radiation shielding properties were evaluated using Phy-X/PSD software. The outcomes illustrate that the Mass Attenuation Coefficient (MAC), Effective Atomic Number (Z_eff), Linear Attenuation Coefficient (LAC) increase, while Mean Free Path (MFP) and Half Value Layer (HVL) decrease with increasing TiO₂ at the expense of B₂O₃, confirming superior gamma-ray attenuation capability. Additionally, both TiO₂-doped and undoped samples show higher fast neutron removal cross sections (FNRCS) compared to several commercial glasses and concrete materials. Overall, the incorporation of TiO₂ significantly enhances the optical performance and radiation-shielding efficiency of the environmentally friendly glass system, making these potential candidates for advanced photonic devices and radiation-shielding applications. Full article

Climate-Sensitive Infectious Diseases (CSIDs) are diseases whose prevalence and transmission are heavily influenced by climatic factors, posing a significant challenge to public health, particularly in vulnerable regions such as Latin America and the Caribbean (LAC). This study employs a bibliometric analysis to evaluate the evolution and distribution of research on CSID and the analytical methods employed in the field. Using bibliometric and text-mining techniques, the analysis examines publication trends, research hotspots, and methodological developments from 2015 to 2024. The results highlight a regional concentration of research, with Brazil leading in CSID studies, particularly on arboviruses such as dengue, Zika, and chikungunya. The analysis also reveals the predominance of regression models, time-series analysis, and spatial analysis as primary methods used to forecast and analyze disease outbreaks. However, advanced techniques such as neural networks and niche modeling are gaining traction, indicating a shift towards more data-intensive approaches. The findings underscore the importance of enhancing forecasting capabilities and integrating analytical models into public-health systems to anticipate the impact of climate change on disease patterns. This study offers critical insights into methodological trends and identifies gaps for future research, contributing to more effective decision making in public health across Latin America and the Caribbean. Full article

Cotton is a globally important crop, with fiber quality traits governed by complex quantitative trait loci (QTL). However, the utility of QTL data is often limited due to inconsistencies across studies. This study conducted a comprehensive Meta-QTL (MQTL) analysis by integrating 2864 QTLs from 50 independent studies published between 2000 and 2024. Of these, 2162 high-confidence QTLs were projected onto a consensus genetic map using BioMercator V4.2.3, resulting in the identification of 75 MQTLs across the cotton genome. These MQTLs exhibited significantly reduced confidence intervals and enhanced statistical support, with 14 MQTLs reported for the first time. Several MQTLs, including MQTLchr7-1, MQTLchr14-1, and MQTLchr24-1, were identified as stable clusters harboring key fiber quality and stress tolerance traits. Candidate gene analysis within select MQTL regions revealed 75 genes, 38 of which were annotated with significant gene ontology terms related to lignin catabolism, flavin binding, and stress responses. Notably, GhLAC-4, GhCTL2, and UDP-glycosyltransferase 92A1 were highlighted for their potential roles in fiber development and abiotic stress tolerance. These findings provide a refined genomic framework for cotton improvement and offer valuable resources for marker-assisted selection (MAS) and functional genomics aimed at enhancing fiber quality, yield, and stress resilience in cotton breeding programs. Full article

Drought stress severely limits peanut productivity, highlighting the urgent need to understand the molecular mechanisms that underlie drought adaptation. While microRNAs (miRNAs) are known to play essential roles in plant stress responses, their functional contributions in polyploid crops like peanut remain insufficiently explored. This study provides the first integrated transcriptomic analysis of drought-responsive miRNAs in tetraploid peanut (Arachis hypogaea). We performed high-throughput sRNA sequencing on a drought-tolerant cultivar Fenhua 8 under PEG6000-simulated drought stress, identifying 10 conserved drought-responsive miRNAs. Among these, ahy-miR398 and ahy-miR408 were significantly downregulated under drought conditions. Degradome sequencing revealed that ahy-miR398 targets copper chaperones for superoxide dismutase (CCSs), potentially reducing SOD activation and amplifying oxidative stress. In contrast, ahy-miR408 targets laccase 12 (LAC12), P-type ATPase copper transporters (COPAs), and a blue copper protein-like (PCL) gene. These targets are involved in copper homeostasis and the regulation of reactive oxygen species (ROS), suggesting that ahy-miR408 plays a role in oxidative stress management. Functional validation in transgenic Arabidopsis lines overexpressing ahy-miR398 or ahy-miR408 showed significantly reduced drought tolerance, with impaired seed germination, shorter primary roots, and exacerbated growth suppression during water deprivation. Taken together, these findings highlight a novel miRNA-mediated regulatory network in peanut drought adaptation, centered on copper-associated oxidative stress management. This study provides new insights into miRNA-based regulation in polyploid crops and offers potential molecular targets for breeding climate-resilient peanut varieties, especially in arid regions where yield stability is crucial. Full article