Search Results (827)

Transmembrane proteins (TMPs) constitute approximately 30% of the mammalian proteome and are critical targets in biomedical research due to their involvement in signaling, transport, and drug interactions. However, their unique structural characteristics pose significant challenges for conventional multiple sequence alignment (MSA) methods, which are typically optimized for soluble proteins. In this paper, we propose TMP-M2Align, a novel topology-aware multiobjective algorithm specifically designed for the multiple alignment of TMPs. The method simultaneously optimizes two complementary objectives: (i) a topology-aware Sum-of-Pairs (SPs) score that integrates region-specific substitution matrices and gap penalties, and (ii) an Aligned Regions (ARs) score that rewards consistent alignment of functional and topological domains. By combining these objectives, TMP-M2Align generates Pareto front approximations of alignment solutions, enabling researchers to select trade-offs that best suit their biological questions. We evaluated TMP-M2Align on BAliBASE Reference Set 7 and on complete datasets of human G protein-coupled receptors (GPCRs) from classes A, B1, and C. Experimental results demonstrate that TMP-M2Align consistently outperforms both traditional alignment tools and specialized TM-specific methods in terms of SPs and Total Column metrics. Moreover, qualitative topological analyses confirm that TMP-M2Align preserves the integrity of transmembrane helices and loop boundaries more effectively than competing approaches. These findings highlight the effectiveness of integrating topology-aware scoring with multiobjective optimization for achieving accurate and biologically meaningful alignments of TMPs. Full article

Background: Orthopedic scientific publications play an important role worldwide. Because of the limited evidence in the Latin American literature, we aimed to evaluate the determinants of scientific publication among Peruvian orthopedics as an approach to the Latin American context. Methods: Analytical cross-sectional study. Orthopedic specialists and residents were enrolled during the 52nd Peruvian National Congress of Orthopedics and Traumatology. A form validated by experts was applied to collect variables. The crude and adjusted coefficients were calculated using bivariate and multivariate regression with 95% confidence intervals. Results: A total of 310 participants were included in our study. The prevalence of the scientific orthopedic publication was 34.84%. Multivariate regression showed that, working in a private hospitals, having an interest in tumors and pediatric orthopedics, being involved in teaching activity, belonging to a scientific society other than the Peruvian Society of Orthopedics and Traumatology, having more than one research project, having an international rotation, and active participation in meetings were factors associated with publishing orthopedic scientific articles, while coming from a university in the highlands as an undergraduate and having more than ten shifts per month was associated with publishing fewer scientific articles. Among residents, having had an international rotation was associated with publishing scientific articles. Conclusions: The determinants of scientific production described will serve to increase scientific production in different contexts considering the orthopedist’s training stage. Full article

Background: Bone metastases are a common complication in patients with advanced cancer. These patients often experience a decline in physical function and autonomy, particularly in the ability to perform Activities of Daily Living, and structured movement-based interventions may represent an important supportive strategy. The aim of this study is to describe the available evidence regarding the impact of physical activity and exercise interventions on functional status and ADL performance in patients with bone metastases. Methods: A systematic literature review was conducted in PubMed, Scopus, Embase, Web of Science, and CINAHL database up to March 2025 and reported according to PRISMA guidelines. Eligible studies included adults (≥18 years) with confirmed bone metastases who underwent physical activity interventions designed to enhance functional status and ADLs. Studies’ methodological quality was assessed using the Joanna Briggs Institute critical appraisal tools, selected according to study design. Results: Eleven studies were included: four randomized controlled trials, four quasi-experimental studies, one randomized feasibility trial, one cross-sectional observational study, and one case report. Despite heterogeneity in intervention type, duration, and outcome measures, most studies reported improvements in physical function, including mobility, muscle strength, walking capacity, and endurance, as well as enhanced performance in ADLs and reductions in fatigue. No serious adverse events were reported. Conclusions: Structured physical activity appears safe and may improve function and independence in patients with bone metastases. These findings support the integration of individualized exercise programs into multidisciplinary supportive care. Full article

Hepatic cancer is a world health concern due to its high lethality. The main risk factor worldwide is having hepatic cirrhosis. The etiology of hepatic cirrhosis has changed in recent years, with metabolic-associated steatotic liver disease (MASLD) becoming the leading cause, displacing hepatitis C and B viruses and alcoholic liver disease. It is of the utmost importance to develop screening programs in at-risk populations for early detection. The survival rate of HCC, as determined by a group of specialists or an interdisciplinary committee, is a challenge we have taken on in a public health hospital in Ecuador. This retrospective study identified 71 patients diagnosed with hepatocellular carcinoma, mostly middle-aged men with a history of liver cirrhosis. No significant association was found between the presence of cirrhosis, laboratory abnormalities, and survival. However, the identification by imaging vascular invasion and extrahepatic extension were associated. This study highlights that patients with liver lesions identified through HCC screening have a higher survival rate over a one-year follow-up period. Full article

This paper introduces a comprehensive methodology for predicting hourly heat loads in buildings. The approach employs unsupervised learning to identify distinct day types based on daily load profiles. A classification process then assigns each day to one of these day types, followed by the application of various supervised learning techniques to forecast heat loads. The methodology is both simple and robust, facilitating its use in load prediction across a wide range of buildings. The process is validated using data from three distinct building types (Residential, Educational, and Commercial) located in Tartu, Estonia. The results indicate that the day type identification and attribution process significantly reduce model complexity and computational time while achieving high prediction accuracy (MAPE ~<2%) with minimal computational requirements. Full article

Gender-based violence (GBV) and traffic offenses pose significant public health challenges and contribute to widespread social issues globally. This study examines the sociodemographic and psychological profiles of individuals who commit traffic offenses and GBV, focusing on three alternative penal programs: TASEVAL (for traffic offenses), PRIA-MA, and reGENER@r (both for GBV). The study involved 54 participants distributed across these programs, using various psychometric tests to assess their profiles. Participants across the three programs (TASEVAL, PRIA-MA, and reGENER@R) were comparable in age (mean range 39.13–40.69 years) and nationality, with roughly half having prior contact with the justice system. Educational levels varied, with TASEVAL participants mainly completing secondary education (43.8%), PRIA-MA participants primary education (43.8%), and reGENER@R participants post-secondary education (59.1%). Employment status differed slightly, with TASEVAL and reGENER@R participants mainly employed (62.5% and 63.6%, respectively), while most PRIA-MA participants were unemployed (56.3%). Family characteristics varied across groups. In TASEVAL, having a partner and no children predominated (62.5% and 31.3%); in PRIA-MA, not having a partner and having two children predominated (62.5% and 37.5%); and, in reGENER@R, not having a partner and having one child predominated (59.1% and 31.8%). No significant differences were observed in sociodemographic variables. Regarding psychological characteristics, results across all groups indicate a marked presence of psychopathological symptoms and difficulties in emotional intelligence domains, with a significant correlation between psychological traits and coping strategies. These findings highlight the importance of tailoring alternative penal measures to the specific characteristics of each group to enhance effectiveness and reduce recidivism. Full article

The species of the Bufonidae family exhibit a great diversity of habitats, diurnal or nocturnal habits, a complex evolutionary history, and a wide distribution, which makes this group suitable for morphological studies. In this work, we aimed to identify the existence of morphological patterns related to the habitat use and diurnal or nocturnal habits of Bufonidae in the Brazilian Amazon. To achieve this, we studied the morphological measurements of 210 specimens from three zoological collections and characterized the type of habitat and diurnality/nocturnality of the species. The morphological patterns and habitat use were investigated through principal component analysis (PCA) and multiple correspondence analysis (MCA), respectively. The evaluation of the relationships between morphological variation, habitat use, and diurnality/nocturnality was performed via redundancy analysis (RDA). Accordingly, Amazonian bufonids were divided into three morphological groups associated with different vegetation types and environments, demonstrating that body size is closely linked to diurnal or nocturnal life habits and habitat. Species with large body sizes are associated to anthropized areas, while intermediate and smaller species are associated with primary forests. Full article

At present, there is growing interest in automated biometric identification applications. For these, it is crucial to have a system capable of accurately identifying a specific group of people while also detecting individuals who do not belong to that group. In face identification models that use Deep Learning (DL) techniques, this context is referred to as Open-Set Recognition (OSR), which is the focus of this work. This scenario presents a substantial challenge for this type of system, as it involves the need to effectively identify unknown individuals who were not part of the system’s training data. In this context, where the accuracy of this type of system is considered crucial, selecting the model to be used in each scenario becomes key. It is within this context that our work arises. Here, we present the results of a rigorous comparative analysis examining the precision of some of the most widely used models today for face identification, specifically some Convolutional Neural Network (CNN) models compared with a Vision Transformer (ViT) model. All models were pre-trained on the same large dataset and evaluated in an OSR scenario. The results show that ViT achieves the highest precision, outperforming CNN baselines and demonstrating better generalization for unknown identities. These findings support recent evidence that ViT is a promising alternative to CNN for this type of application. Full article

The increasing adoption of High-Pressure Die Casting (HPDC) technology in the production of automotive body structure components is driven by its potential for efficiency and performance. This technology, however, involves complex physical phenomena with numerous parameters that significantly influence casting quality. In this study, three key die casting parameters—plunger or shot speed, vacuum application, and intensification pressure (IP)—have been evaluated following a Design of Experiment (DoE) approach. The results demonstrate that IP application is instrumental in reducing porosity within the cast specimens, thereby enhancing their mechanical strength and elongation. Furthermore, the combined application of vacuum and IP yields further improvements in elongation by minimizing porosity. These findings are particularly relevant for silicon-free alloys, which eliminate the need for post-casting heat treatments to achieve the required mechanical properties. By optimizing HPDC processes, manufacturers can reduce rejection rates, lower production costs, and improve the overall efficiency of their operations, contributing to the production of high-quality and cost-effective components for the automotive industry. Full article

The integration of Mechanical Ventilation with Heat Recovery (MVHR) systems into heritage buildings poses a series of challenges, largely attributable to architectural constraints and conservation requirements. The present study offers an operational campaign of an MVHR system installed during the energy retrofit of a protected residential heritage dwelling in Vitoria-Gasteiz, Spain. Although environmental monitoring was carried out throughout the year, representative spring, autumn and winter days of continuous operation were analysed, as the occupants frequently avoided using the system due to noise perception. This limitation highlights the importance of considering acoustic comfort and user acceptance as critical factors in the long-term viability of MVHR in heritage contexts. The system was assessed under real-life conditions using continuous environmental monitoring, with a focus on indoor air quality (IAQ), thermal efficiency, airflow balance, and pressure losses. Despite the acceptable mean apparent thermal effectiveness (0.74) and total useful efficiency (0.96), the system’s performance was found to be constrained by significant flow imbalance (up to 106%) and elevated pressure drops, which were attributed to the legacy of the duct geometry. The results obtained demonstrate IAQ improved overall, with mean CO₂ concentrations below ~650 ppm across the analysed dataset; however, daily means occasionally exceeded 900–1000 ppm during high-occupancy periods and in the absence of spatially distributed demand control. These exceedances are consistent with the measured outdoor baseline (~400–450 ppm) and reflect the need for post-commissioning balancing and room-level sensing to sustain Category II performance in heritage dwellings. This study provides empirical evidence on the limitations and opportunities of MVHR deployment in historic retrofits, thus informing future guidelines for sustainable interventions in heritage contexts. Full article

The Port of Veracruz, the main port in the Gulf of Mexico, has experienced a significant increase in its import and export operations, such as petroleum coke (Petcoke), a solid waste, mainly used in the steel industry. During the period of 2010–2023, approximately 7,401,594 tons of coke were stored outdoors, generating PM₁₀ particulate emissions due to wind erosion. These particles were dispersed to urban areas, reaching an estimated total emission of 5077 tons. The study used geospatial analysis and environmental modeling tools (ALOHA^®) to evaluate the dispersion and concentration of PM₁₀ in the atmosphere, comparing them with the limits established by the Mexican Official Standard NOM-025-SSA1-2021. The results indicate that in years with high port activity, such as 2014, PM₁₀ concentrations exceeded the normative values, representing a potential risk to public health and urban infrastructure. This study provides critical evidence on the environmental impacts of coke handling in ports and suggests mitigation strategies, including processes for the confinement of materials and the implementation of advanced emissions monitoring systems. Full article

The challenges posed by aging populations and increasing rates of social isolation necessitate a rethinking of the manner in which housing and urban environments can support elderly well-being. This study explores the role of interdisciplinary educational research in addressing two key challenges faced by older adults living alone: thermal comfort and loneliness. The research, which was conducted in the Basque Country, Spain, involved six Final Degree Projects (FDPs) developed within a Research-Based Learning (RBL) framework by undergraduate students in architecture and engineering. These projects were embedded in two applied research initiatives, Etxelagun and Kalelagun, which monitored private dwellings and public spaces to evaluate environmental comfort and social inclusion. The student teams conducted fieldwork, interviews, environmental audits, and co-design processes with elderly participants and stakeholders from public administration, social services, and health sectors. The results demonstrate how the physical and social characteristics of the built environment influence autonomy, thermal comfort, and opportunities for interaction. The proposals developed address accessibility, climate-adaptive design, and age-friendly urban strategies. Survey results demonstrate that the RBL approach enhances students’ sensitivity and commitment to social challenges. The study concludes that interdisciplinary, context-sensitive educational research can produce actionable design solutions while cultivating future professionals equipped to respond to the complex needs of aging societies. Full article

Environmental factors affect plant physiological processes. Understanding these factors can increase productivity, especially in tropical mountain ecosystems, where they vary with altitude. This study aimed to analyze the physiological variations related to water vapor and gas exchange in Prunus persica L. Batsch according to the altitudinal gradient in North Santander. One plant was selected per altitude, and six leaves were selected per plant and per branch across three phenological stages. Conductance (gs), stomatal resistance (SR), and transpiration (E) were determined using a calibrated portable porometer over two cycles. Linear mixed-effects models with repeated measurements over time, phenological effects, altitude, and light conditions were used. At higher altitudes, gs and E decreased and SR increased, possibly due to higher ultraviolet radiation and lower temperatures with increasing altitude. Maximum values were reached at EF6. gs and E exhibited diurnal patterns, decreasing at the end of the day to minimize water loss during periods of lower solar radiation. The cultivar adjusted its stomatal and water regulation mechanisms according to altitude. These findings provide advanced insights into plant acclimatization strategies in mountain ecosystems and inform the sustainable management practices needed in the face of impending global climate variability. Full article

The growing awareness of celiac disease and gluten sensitivities has generated interest in gluten-free products. Whole sorghum (Sorghum bicolor) is an excellent source of nutrients and is gluten-free. However, the absence of gluten makes it technologically challenging to produce leavened products. This research aims to utilize a response surface methodology to optimize the specific loaf volume and crumb firmness of a whole sorghum-based gluten-free bread formulation, evaluating different levels of milk powder, egg white, yeast, sugar, psyllium husk powder, xanthan gum, and soy lecithin. The models fit achieved an $R^2\ge 80\%$. The optimized formulation increased the specific loaf volume from 1.7 to 2.8 cm³ g⁻¹ and decreased crumb firmness from 10.6 to 3.7 N compared to the initial gluten-free bread formulation (C1). Egg white, milk powder, and psyllium contribute to the formation of a gluten-like network, which enables gas retention, dough expansion, and volume increase. In addition, soy lecithin, among hydrocolloids, enhances dough stability and moisture retention, resulting in a softer crumb. Sensory evaluation indicated good consumer acceptability (average score of 7 on a 9-point hedonic scale), particularly for texture and flavor. These findings suggest that optimal formulation of sorghum achieves both technological and sensory properties, supporting its potential as a viable gluten-free bread alternative. Full article

Banana (Musa spp.) crops face severe yield and economic losses due to foliar diseases such as Moko disease and Black Sigatoka. In Ecuador, Moko outbreaks have increasingly devastated banana plantations, threatening one of the country’s most important export commodities and putting significant pressure on local producers and the national economy. Traditional field inspection methods are labor-intensive, subjective, and often ineffective for timely disease detection and containment. In this study, we propose an improved deep learning-based segmentation approach using YOLOv8 architectures to automatically detect and segment Moko and Black Sigatoka infections from unmanned aerial vehicle (UAV) imagery. Multiple YOLOv8 configurations were systematically analyzed and compared, including variations in backbone depth, model size, and hyperparameter tuning, to identify the most robust setup for field conditions. The final optimized configuration achieved a mean precision of 79.6%, recall of 80.3%, mAP@0.5 of 84.9%, and mAP@0.5:0.95 of 62.9%. The experimental results demonstrate that the improved YOLOv8 segmentation model significantly outperforms previous classification-based methods, offering precise instance-level localization of disease symptoms. This study provides a solid foundation for developing UAV-based automated monitoring pipelines, contributing to more efficient, objective, and scalable disease management strategies. Full article