bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluating the Performance of Satellite-Derived Soil Moisture Products Across South America Using Minimal Ground-Truth Assumptions in Spatiotemporal Statistical Analysis
Authors: Mousa B. G. , Samat Alim , Shu Hong
Published: February 2025

South America (SA) features diverse land cover types and varied climate conditions, both of which significantly influence the variability of soil moisture (SMO). Obtaining ground-truth measurements for SMO is often costly and labor-intensive, and the limited number of ground SMO stations in SA further complicates the evaluation of satellite-derived SMO products. In this work, we proposed an approach that integrates some statistical methods to assess the reliability of Soil Moisture Active Passive (SMAP), the H113 dataset from the Advanced Scatterometer (ASCAT), and Soil Moisture and Ocean Salinity (SMOS) satellite-derived SMO products in SA from 14 May 2015 to 31 December 2016. The integrated methods are error metrics (correlation (R), bias, and ubiased root mean square error (ubRMSE)), Triple Collocation Method (TCM), and Hovmöller diagrams. ERA5 and GLDAS-Noah SM products were used as references for validation. The quality of SMO products was assessed by considering environmental variables, including land cover, vegetation density, and precipitation, within the different climate zones of SA. The results presented that SMAP overall outperforms SMOS and ASCAT, with the highest average correlation (0.55 with GLDAS and 0.61 with ERA5), slight average bias (−0.058 with GLDAS and −0.014 with ERA5), and lowest average ubRMSE (0.045 with GLDAS and 0.041 with ERA5). In arid, semi-arid, and moderate vegetation regions, the SMAP satellite outperforms SMOS and ASCAT, achieving better statistics values with GLDAS and ERA5 datasets, and achieving low error variance and high S/N in the TCM analysis. While the ASCAT H113 product showed good performance, which makes it a good alternative to SMAP, it still has limitations in more dense vegetation regions. SMOS showed the lowest performance across SA, especially in the Amazon basin. The Amazon basin emerges as a critical region where all SMO products displayed a significant SMO variability; however, SMAP showed slightly better results than ASCAT and SMOS. In the absence of ground truths, the proposed approach provides a better evaluation of satellite SMO products. Meanwhile, it provides new spatiotemporal statistical insights into satellite SMO retrieval performance evaluation within diverse climate zones of SA. This research provides valuable guidance for improving SMO monitoring and agricultural management in tropical and semi-arid ecosystems.
Structural Health Monitoring: Advanced Sensing, Diagnostics and Prognostics
Authors: Li Bing , Li Yongbo , Noman Khandaker
Published: February 2025

Structural Heath Monitoring (SHM) can be considered one of the most prominent emerging components of modern engineering applications [...]
Resonant Frequency Response to Mechanical Loading in Conformal Load-Bearing Antenna Systems
Authors: Lu Shouxun , Nicholson Kelvin J. , Patniotis Joel , Wang John , Chiu Wing Kong
Published: February 2025

This study investigates the impact of mechanical loading on the electromagnetic performance of conformal load-bearing antenna structures (CLASs), focusing on the resonant frequency response. Using 6-ply [0/90] GFRP as the CLAS substrate, the research evaluated the effects of two mechanical loading scenarios: the quasi-static uniaxial tensile test and cyclic fatigue. The quasi-static tests explore the response of CLASs to significant elongation, while the cyclic fatigue tests simulate localised damage propagation under operational loads. The results from the quasi-static tests demonstrated that the dominant effect under uniaxial tensile loading is the increase in substrate permittivity due to damage, causing a decrease in resonant frequency. The cyclic fatigue tests employed two configurations: removeable antenna patch (RAP), which isolates the antenna from mechanical loading to focus on substrate damage; and surface-mounted antenna patch (SMAP), which examines the combined effects of substrate damage and antenna elongation. The RAP results showed a consistent correlation between substrate damage and resonant frequency decrease, while SMAP demonstrated complex frequency behaviour due to competing effects of substrate damage and antenna elongation. A comparison with [±45]6 GFRP results showed that the resonant behaviour remained consistent regardless of ply configuration during the initial damage accumulation induced by cyclic fatigue. However, with significant elongation in quasi-static tests, resonant frequency behaviour was affected by the specimen’s ply configuration, with substrate permittivity changes due to mechanical loading being the dominant factor. These findings provide valuable insights into the relationship between damage sustained by the CLAS system and resonant frequency shifts, providing critical information for predicting CLAS’s reliability and service life.
A Non-Destructive Moisture Detection System for Unshelled Green Tea Seed Kernels Based on Microwave Technology with Multi-Frequency Scanning Signals
Authors: Zhou Bo , Yuan Ye , Wei Zhenbo , Li Siying
Published: February 2025

A self-developed microwave moisture detection system (ranged from 2.00 GHz to 10.00 GHz) based on multi-frequency sweep technology was used to quickly determine the moisture content of tea seed kernels without breaking the shells. A multi-frequency evaluation method combined cross-validation and majority voting rules was proposed to select the optimal microwave features from the original microwave signals. Firstly, the moisture content of tea seed kernels was detected by the moisture detection system, and the determination coefficients of the ANN model established based on seven attenuations and six phase-shifts were over 0.999. Then, the moisture content of unshelled tea seeds was detected, and the determination coefficients of the ANN model based on 13 preferred frequency features were over 0.995. Moreover, the predicted moisture values of unshelled tea seeds were calibrated accurately by a moisture function (y = −0.017x2 + 1.431x − 1.019). Above all, the self-developed system could achieve non-destructive moisture content prediction of tea seed kernels.
Research on a Burn Severity Detection Method Based on Hyperspectral Imaging
Authors: Wang Sijia , Gu Minghui , Zhang Mingle , Tan Xin
Published: February 2025

The accurate detection of burn wounds is a key research direction in the field of burn medicine, as diagnostic results directly influence the risk of wound infection and the formation of hypertrophic scars. Currently, burn diagnosis is primarily dependent on the clinical judgment of physicians, but its accuracy is typically only between 65% and 70%. Therefore, a non-invasive, efficient method for burn severity assessment is urgently needed. Hyperspectral imaging (HSI), as a non-invasive and contactless spectral detection technique, has been shown to precisely monitor structural changes in burn-affected skin tissue and holds significant potential for burn depth diagnosis. However, research on the application of burn severity detection remains relatively limited, which restricts its widespread use in clinical settings. A burn severity detection classification network (MBNet) based on the Mamba model is proposed in this paper. Through a bidirectional scanning strategy, MBNet effectively captures the long-term dependencies of spectral features, accurately establishes the relationships between bands, and efficiently distinguishes subtle spectral differences under different burn conditions. MBNet provides a reliable and efficient method for clinical burn severity assessment. A comparison of MBNet with seven typical machine learning algorithms on a custom dataset demonstrates that MBNet significantly outperforms these methods in terms of accuracy.
Vestibular Evoked Myogenic Potentials (VEMPs) in Parkinson’s Disease Patients with Monopolar Deep Brain Stimulation
Authors: Hawkins Kim E. , Holden John , Chiarovano Elodie , Lewis Simon J. G. , Curthoys Ian S. , MacDougall Hamish G.
Published: February 2025

Whilst balance disturbances are common in people with advanced Parkinson’s disease, it has not previously been possible to record vestibular evoked myogenic potentials (VEMPs), and thus otolithic function, during monopolar deep brain stimulation (DBS) due to an overwhelming number of signal artifacts. A µVEMP device has been developed with parameters to allow VEMP recording during monopolar DBS. The aim of this proof-of-concept study was to ascertain whether, during DBS, VEMP responses could be accurately identified after signal filtering recordings from the µVEMP device. Both cervical and ocular VEMP responses to taps and clicks were recorded with the µVEMP device in five Parkinson’s disease patients with monopolar deep brain stimulation. Additionally, VEMP responses were recorded in one patient whose deep brain stimulation was switched ON and OFF to allow a direct comparison of the signals. Customised post-filtering analysis allowed successful VEMP response extraction from signal noise in all five patients with deep brain stimulation ON. VEMP responses with deep brain stimulation ON after filtering were similar to VEMP responses with deep brain stimulation OFF, validating the filtering analysis. We present the first study to record VEMP signals with monopolar deep brain stimulation using a µVEMP device coupled with customised post-filtering. This finding will allow patients to be assessed without requiring adjustment of their therapeutic deep brain stimulation.
Trauma in Female Forensic Psychiatric Patients: A Mixed-Method Study into the Clinical Practice of Trauma-Focused Treatment
Authors: de Vogel Vivienne , Depla Juul , Keulen-de Vos Marije
Published: February 2025

Research shows that victimization rates in forensic mental health care are high for both female and male patients. However, gender differences have been found in types and patterns of victimization (more sexual abuse and more complex trauma for women), cognitive appraisal, and response to traumatic events. Gender-responsive treatments focusing on trauma have been designed to adhere to these gender differences; however, despite promising research results, these interventions are yet to be introduced in many settings. This study examined how trauma is addressed in current clinical practice in Dutch forensic mental health care, whether professionals are knowledgeable of gender differences in trauma, and how gender-responsive factors such as self-esteem, self-efficacy, social relations, and coping skills are considered in treatment for female patients. We used a mixed-method design consisting of an online survey and 33 semi-structured interviews with professionals and patients. The results suggested that Dutch forensic mental health care could address trauma more structurally, and professionals could be more aware of gender differences and gender-responsive factors. Early start of trauma treatment was deemed important but was not current practice according to patients. Based on this study, guidelines were developed for gender-responsive, trauma-informed work in forensic mental health care.
Optimal Thermal Management Using the Taguchi Method for LED Lighting Squared Heat Sink, Including Statistical Approaches
Authors: Saadouni Ibrahim , Douass Oumaima , Samoudi Bousselham , Araoud Zouhour , Charrada Kamel , Asselman Adel , Canale Laurent
Published: February 2025

The global development of LED lighting in all applications for both public and indoor lighting establishes a very important lever for reducing the carbon impact by significantly reducing energy consumption. Smart lighting will therefore constitute an essential lever in the smart city of tomorrow. The latter is more sustainable and less energy-intensive than other light sources, contributing towards the Sustainable Development Goals set forth by the United Nations (SDGs 7 and 11). With its ease of integration, ergonomics, lightness, and high quality of light, this innovative light source has two major qualities: its energy efficiency and its long service life. However, poor thermal management has catastrophic effects on these two essential criteria. This necessarily requires optimizing thermal management and heat sinks. In some cases, thermal models and simulations can lead to considerable calculation times because they implement many parameters. This work therefore aims to reduce the number of these simulations by applying the method of experimental designs (Taguchi) and analysis of variance (ANOVA) to simulations intended to optimize the dissipation of LED luminaires. We applied the method to a simple finned heat sink model for a unit input power and then to a concrete case of a high-power LED. The control parameters and their respective contributions in the proposed model were studied. The ANOVA results corroborated the conclusions of the Taguchi method, demonstrating a strong agreement between these analytical methods, in which the temperature was adjusted by identifying optimal combinations of parameters. The fields of application relevant to this study include both indoor lighting (false ceiling) and confined spaces with severe sealing constraints such as car headlights or the optical blocks of urban luminaires.
Evaluation and Obstacle Factors of Water Resources Carrying Capacity in Tai’an, China
Authors: Yu Xiaoge , Deng Rongmei , Li Fuqiang , Zhai Daiting , Meng Can
Published: February 2025

In China, rapid economic and social development has caused the carrying capacity of water resources in some areas to reach or exceed the limit, threatening the stability of resources and the development of the national economy. In view of the current situation of serious water shortage in Tai’an City, we constructed a comprehensive evaluation model of water resources carrying capacity in Tai’an City by using socio-economic and water resources data from 2016 and 2023. Our method covers multiple dimensions such as natural geography, socio-economy, water quantity, ecological environment, and resource utilization. The analytic hierarchy process (AHP) and entropy weighting methods were applied to determine the weights of the indicators, the set pair analysis theory (SPA) and variable fuzzy set theory (VFS) were used to establish a comprehensive evaluation model of water resources carrying capacity, and the level of water resources carrying capacity and obstacles encountered in improving water resources carrying capacity in Tai’an were evaluated and analyzed. Our results show that Tai’an is generally developing in a coordinated manner across the country, but there are obvious differences in the carrying capacity of water resources in different areas, which require the development of targeted resource management strategies. The study has the potential to advance regional water resources carrying capacity.
Assessing the Impact of Green Energy Transition, Technological Innovation, and Natural Resources on Load Capacity Factor in Algeria: Evidence from Dynamic Autoregressive Distributed Lag Simulations and Machine Learning Validation
Authors: Bergougui Brahim , Meziane Said
Published: February 2025

Algeria’s resource-dependent economy faces significant challenges in balancing hydrocarbon reliance with environmental sustainability, yet existing research largely overlooks the comprehensive load capacity factor (LCF) metric in favor of traditional emissions analyses. This study examines the relationships between the LCF and key economic–environmental factors in Algeria from 1980 to 2023, including total natural resource rents, energy transition, technological innovation, GDP, primary energy consumption, and urbanization. Using ARDL and DARDL econometric approaches complemented by a kernel-based regularized least squares analysis, the research captures both linear and nonlinear relationships while accounting for asymmetric dynamics in short- and long-term perspectives. The findings reveal that natural resource rents, technological innovation, and urbanization significantly impair Algeria’s LCF, while primary energy consumption shows a minimal positive impact. The energy transition initiatives demonstrate mixed effects, highlighting the complexities of green energy implementation in resource-dependent economies. These results suggest that Algeria’s sustainable development requires targeted policies focusing on resource management efficiency, environmentally conscious urban planning, and green technology adoption, providing valuable insights for other resource-rich nations pursuing similar sustainability transitions.
Investigation of the Wheat Production Dynamics Under Climate Change via Machine Learning Models
Authors: Sahin Demirel Ayca Nur
Published: February 2025

This study employs two distinct machine learning (ML) methodologies to investigate the impact of 12 different key climatic variables on wheat production efficiency, a crucial component of the global and Turkish agricultural economy. Neural network (NN) and eXtreme Gradient Boosting (XGBoost) algorithms are utilised to model wheat production performance using climate variable data, including greenhouse gases, from 1990 to 2024. The models incorporate a total of 21 different independent variables, comprising 9 climatic variables (daytime and nighttime total 18 variables) and 3 distinct greenhouse gas variables, considering day and night values separately. Wheat production efficiency analyses indicate that between 2005 and 2024, Turkey’s wheat cultivation area decreased, while production efficiency increased. ML analyses reveal that greenhouse gases are the most influential variables in wheat production. XGBoost identified four different variables associated with wheat production, whereas the neural network determined that five different variables affect wheat production. While the influence of greenhouse gases was observed in both ML models, it was concluded that nighttime humidity, daytime 10 m v-wind, and daytime 2 m temperature may be additional climatic factors that will impact wheat production in the future. This study elucidates the complex relationship between climate change and wheat production in Turkey. The findings emphasise the importance of the potential for predicting wheat yields with the dual influence of climatic factors and informing agricultural producers about such next-generation practices.
Sustainable and Traditional Irrigation and Fertigation Practices for Potato and Zucchini in Dry Mediterranean Regions
Authors: Darwish Talal , Shaban Amin , Faour Ghaleb , Jomaa Ihab , Moubarak Peter , Khadra Roula
Published: February 2025

Transforming irrigation practices is essential to address aquifer depletion and food security in Mediterranean regions facing climate change and water scarcity. Developing local and national resilience to climate change requires capacity building to boost soil health and adaptation to drought. Recent attempts undertaken by the SEALACOM Project reduced irrigation rates in protected agriculture. The purpose of this work is to enhance traditional farmer’s practices and promote the potential of advanced fertigation of field crops (i.e., potato and zucchini) cultivated under two different pedo-climatic conditions to improve water and nutrient use efficiency. Results showed the yield of zucchini and potato on SEALACOM plots with continuous fertigation was 22% and 17.8%, respectively, which was higher than the yield with traditional irrigation and fertilization practices. Elite potato tuber size was 40% higher in SEALACOM plots (p < 0.05). The farmer applied 359 L of water to produce 1 kg of fresh zucchini compared to 225 L by the SEALACOM Project, indicating a significant, 60% water saving in the SEALACOM practice. Compared to farmer’s practices of potato production, the SEALACOM Project achieved more than 50% higher water productivity. In zucchini production, farmers applied 19.5% more nitrogen and 19.6% more phosphorus fertilizers. Compared to 58 kg of N applied by the farmers, the SEALACOM Project applied 38 kg of N to produce 1 ton of Zucchini, showing a 34% saving in major nutrient application. To cultivate 1 kg of fresh potato tubers, SEALACOM utilized 4.06 g of nitrogen and 1.34 g of phosphorus, compared to the traditional practice, which required 13.2 g of nitrogen and 2.25 g of phosphorus. Water and nutrient saving and higher productivity and commerciality of the final product have a high positive impact on the farmer’s income and positive attitude towards the adoption of modern, sustainable practices.
Advanced Algorithms in Battery Management Systems for Electric Vehicles: A Comprehensive Review
Authors: Ghazali Anith Khairunnisa , Aziz Nor Azlina Ab. , Hassan Mohd Khair
Published: February 2025

Electric vehicles and hybrid electric vehicles (EV) are increasingly common on roads today compared to a decade ago, driven by advancements in technology and a growing focus on sustainable transportation. These vehicles are powered by rechargeable lithium-ion batteries. A battery management system (BMS) is indispensable for ensuring the optimal performance, safety, and longevity of the EV’s batteries. In this review, the latest algorithm trends for BMS software are discussed. This work also focuses on several key functionalities of BMS like the state of charge (SOC) estimation, state of health (SOH) monitoring, state of energy (SOE), and state of power (SOP). Advanced algorithms for BMS are comprehensively reviewed, including those designed for specific functionalities, as well as those developed based on existing optimization, artificial intelligence, and estimation algorithms. These algorithms address critical challenges such as maintaining symmetry during charging and discharging, preventing thermal runaway, and managing battery faults in EV systems. This work provides valuable insights for researchers and practitioners in the field of EV design and development, particularly those focusing on the advancement of BMS technologies.
Vit-Traj: A Spatial–Temporal Coupling Vehicle Trajectory Prediction Model Based on Vision Transformer
Authors: Cheng Rongjun , An Xudong , Xu Yuanzi
Published: February 2025

Accurately predicting the future trajectory of road users around autonomous vehicles is crucial for path planning and collision avoidance. In recent years, data-driven vehicle trajectory prediction models have become a significant research focus, and various spatial–temporal neural network models, based on spatial–temporal data, have been proposed. However, some existing spatial–temporal models segregate time and space, neglecting the inherent coupling of time and space. To address this issue, an end-to-end spatial–temporal feature fusion model, based on the Vision Transformer (Vit), is proposed in this paper, which can couple stereoscopic features of diverse spatial regions and time periods. Specifically, we propose an end-to-end spatiotemporal feature coupling model based on visual Transformer, Vit-Traj, which extracts spatiotemporal features through 2D convolution and uses Vit and SENet to complete feature fusion. Experimental results on the NGSIM and HighD datasets indicate that, compared to State-of-the-Art models, the proposed model exhibits better performance. The root mean squared error (RMSE) is 2.72 m on the NGSIM dataset and 0.86 m on the HighD dataset when the prediction horizon is 5 s. Furthermore, ablation experiments are conducted to evaluate the performance of each module, affirming the efficacy of ViT in modeling spatial–temporal data.
Comprehensive Analysis of Random Forest and XGBoost Performance with SMOTE, ADASYN, and GNUS Under Varying Imbalance Levels
Authors: Imani Mehdi , Beikmohammadi Ali , Arabnia Hamid Reza
Published: February 2025

This study examines the efficacy of Random Forest and XGBoost classifiers in conjunction with three upsampling techniques—SMOTE, ADASYN, and Gaussian noise upsampling (GNUS)—across datasets with varying class imbalance levels, ranging from moderate to extreme (15% to 1% churn rate). Employing metrics such as F1 score, ROC AUC, PR AUC, Matthews Correlation Coefficient (MCC), and Cohen’s Kappa, this research provides a comprehensive evaluation of classifier performance under different imbalance scenarios, focusing on applications in the telecommunications domain. The findings highlight that tuned XGBoost paired with SMOTE (Tuned_XGB_SMOTE) consistently achieves the highest F1 score and robust performance across all imbalance levels. SMOTE emerged as the most effective upsampling method, particularly when used with XGBoost, whereas Random Forest performed poorly under severe imbalance. ADASYN showed moderate effectiveness with XGBoost but underperformed with Random Forest, and GNUS produced inconsistent results. This study underscores the impact of data imbalance, with MCC, Kappa, and F1 scores fluctuating significantly, whereas ROC AUC and PR AUC remained relatively stable. Moreover, rigorous statistical analyses employing the Friedman test and Nemenyi post hoc comparisons confirmed that the observed improvements in F1 score, PR-AUC, Kappa, and MCC were statistically significant (p < 0.05), with Tuned_XGB_SMOTE significantly outperforming Tuned_RF_GNUS. While differences in ROC-AUC were not significant, the consistency of these results across multiple performance metrics underscores the reliability of our framework, offering a statistically validated and attractive solution for model selection in imbalanced classification scenarios.
Tobamoviruses: Molecular Aspects and Resistance Regulation—A Special Issue Commemorating 125 Years of Research on Tobamoviruses
Authors: Palukaitis Peter , Murphy Alex M.
Published: February 2025

This Special Issue of Viruses was commissioned in 2023 to celebrate 125 years of research on Tobamoviruses [...]
Hydrodynamic Modelling Techniques for Bays and Estuaries: Simulation Methodology and Practical Application
Authors: Arrieta-Pastrana Alfonso , Coronado-Hernández Oscar E. , Fuertes-Miquel Vicente S.
Published: February 2025

Some countries grapple with data scarcity for calibration purposes when establishing current hydrodynamic models, which often require many parameters. In this context, this research presents a practical simulation methodology for hydrodynamic modelling suitable for application in bay and estuarine systems based on mass and momentum equations and requiring only one parameter for calibration—bed friction. The proposed simulation methodology is applied to a linear open channel measuring 200,000 m long. A sensitivity analysis of the bed friction is conducted to assess the proposed methodology’s response to the maximum water levels achieved. The results are compared to linear theory, indicating that the proposed simulation methodology effectively represents the water phase. In all simulations, the maximum root mean square error is less than 2.1% when neglecting bed friction and 4.69% when a bed friction of 0.005 is considered. The proposed simulation methodology can be a practical tool for hydrodynamic modelling in shallow waters.
Accelerating Sustainable Electric General Aviation with Fast-Charging Networks at Regional Airfields: Opportunities and Challenges
Authors: Stiebe Michael
Published: February 2025

Electric aviation (eViation) is a promising pathway for sustainability in General Aviation (GA), particularly pilot training. However, challenges such as limited aircraft models, low battery endurance, long charging times, and inadequate charging infrastructure at most airfields—exacerbated by a lack of charging standardization—hinder eViation adoption. This study explores key factors influencing the feasibility of establishing a fast-charging network for electric airplanes in Switzerland, addressing infra-structural, technological, and policy barriers, as well as stakeholder concerns. Using a sequential mixed-methods approach, we analyzed 7000+ electric flight records and conducted an online stakeholder survey (n = 44) and 21 qualitative expert interviews. The findings reveal strong interest in eViation but highlight critical gaps, including sparse charging infrastructure and the need for standardization. Stakeholders emphasize transitioning to the Combined Charging System (CCS), integrating renewable energy, and implementing policy measures like subsidies and operational privileges. However, a chicken-and-egg dilemma persists: limited infrastructure hampers aircraft adoption, yet investment is difficult without widespread use. Lessons from the automotive EV transition highlight the need for strategic infrastructure expansion and coordinated policies. Remarkably, stakeholders prioritize network density over charging speed. This study identifies key barriers and opportunities for eViation adoption, providing actionable recommendations for the sustainable GA transition.
Óbitos relacionados ao Acidente Vascular Cerebral no Sistema Único de Saúde do Distrito Federal
Authors: Gontijo Ribeiro Thaís , Santos Silva Amanda , Silva do Amorim Alexandre , Ronca Barbosa Débora , Cecchi Salata Mariana
Published: February 2025

Introdução. Atualmente o Acidente Vascular Cerebral (AVC) é a segunda maior causa de mortalidade no Brasil e a compreensão do óbito decorrente da internação pode dar respostas sobre a gravidade do quadro, assim como a qualidade do Sistema Único de Saúde (SUS) no atendimento ao paciente crítico. Objetivo. Descrever os óbitos de pessoas que tiveram AVC no SUS do Distrito Federal, assim como os gastos relacionados. Método. Trata-se de um estudo do tipo transversal, epidemiológico não experimental. A coleta de dados foi realizada pelo site InfoSaúde, entre os meses de agosto a setembro de 2023. Foram acessadas as “internações com óbitos”, e “internações hospitalares”, no período entre 2018 e 2022. Resultados. No Distrito Federal, foram identificadas 7.632 internações com o CID I64, considerando todas as idades. A prevalência foi maior no sexo masculino com 60 anos ou mais. As Unidades de Referência Distrital (URD) tiveram a maior percentagem das internações com óbitos, devido à gravidade dos casos por serem locais referenciados. O Hospital de Base do Distrito Federal (HBDF), principal referência, obteve um total de gastos de R$12.225.196,19 reais investidos em procedimentos, um aumento de R$409.021,78 no ano de 2022 comparado ao ano de 2018. Conclusão. A quantidade de óbitos durante a internação não variou tanto durante o período analisado, porém os gastos aumentaram com o tratamento do AVC, mostrando o empenho dos governantes em melhorar a qualidade do tratamento, de um acometimento que pode ser evitável na grande maioria dos casos e que gera tantos gastos desnecessários.
Abordajes de la violencia de género en la escuela secundaria
Authors: Medici Mora
Published: February 2025

En el presente artículo exploramos el abordaje de la violencia de género en una escuela secundaria de gestión pública de la Ciudad de Buenos Aires. En primer lugar, indagamos acerca del modo en que la educación sexual integral permite generar instancias de problematización la violencia. En segundo lugar, analizamos los modos en que esta problemática se hace presente en la escuela a partir de conflictos entre pares, como los que surgieron con los escraches por violencia de género. Se destacan los procesos de diálogo inter e intrageneracionales que se generan en un contexto de transformación de las relaciones de género y el potencial de la ESI en la promoción de un abordaje pedagógico de las situaciones de conflicto.
Infancias, familias y abuso sexual
Authors: Grinberg Julieta
Published: February 2025

Durante las últimas décadas, tanto a nivel nacional como internacional, el problema de las “violencias sexuales” contra las infancias y adolescencias ha ido adquiriendo cada vez más visibilidad en el espacio público. Este artículo busca problematizar las formas a partir de las cuales se recortan y significan tales violencias y cómo a través de estas operaciones se construyen las categorías y los marcos de inteligibilidad disponibles para sentirlas, explicarlas y actuar sobre ellas. A tal fin, articula un análisis sobre la construcción de la categoría de abuso sexual y de su conformación como problema social y cuestión de agenda política en Occidente y un abordaje etnográfico de su tratamiento cotidiano por parte de organismos destinados a la protección de derechos de las infancias y adolescencias en la Ciudad de Buenos Aires entre 2005 y 2009, en el contexto la institucionalización de la causa por los derechos del niño.
Narrativas de lo viviente
Authors: Pérez Laura , Caruso Julieta
Published: February 2025

El artículo examina la crisis ambiental desde la perspectiva del arte, cuestionando la epistemología moderna que separa lo humano de lo no humano y reduce la naturaleza a un recurso. Propone que el arte puede facilitar diálogos entre especies y desafiar narrativas dominantes que perpetúan la inacción ante la crisis climática. A través del análisis de obras contemporáneas, se exploran prácticas artísticas que fomentan la colaboración con entidades vivientes y permiten imaginar un futuro en el que la naturaleza no sea instrumentalizada. Se argumenta que el pensamiento especulativo, en interacción con el arte, ofrece nuevas sensibilidades y abre espacios para la esperanza, promoviendo una reconfiguración de los vínculos entre humanos y no humanos en la búsqueda de un mundo vivible.
Gelatin extraction from chicken skin: a preliminary study
Authors: Jafandeva Shafira Dwinanda , Khair Miftahul
Published: February 2025

Gelatin is a multifunctional polymer derived from collagen hydrolysis of skin, bones, and connective tissues, containing 19 amino acids. The increasing demand for halal gelatin has encouraged alternative research, including gelatin from chicken skin. This study aimed to explore the extraction method of chicken skin gelatin using a water bath at 65°C for 10 minutes. Proximate analysis was conducted on the yield, ash content, moisture content, acidity (pH), and viscosity. Characterization of the resulting gelatin was carried out using FTIR. The results of gelatin extraction using a water bath at 65°C for 10 minutes yielded 12.39%. The resulting gelatin had a moisture content of 14.15%, ash content of 3.26%, pH of 4, and viscosity of 2.74 cPs. FTIR spectral analysis showed the characteristic functional groups of gelatin in the sample, namely O-H, N-H, C-O, C=O, C-N, and NCO groups.
PENGARUH LEVERAGE, UKURAN PERUSAHAAN, PERTUMBUHAN PERUSAHAAN DAN PROFITABILITAS TERHADAP NILAI PERUSAHAAN PADA SEKTOR PROPERTY DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2020-2023
Authors: Jenny Zain  , Agnes sihombing  , Reny Vatrecia Lumbantoruan  , Malvin Orlando Chandra  , Oky Syahputra
Published: February 2025

This research was carried out to test the effect of Leverage (X1), Company Size (X2), Company Growth (X3) and Profitability (X4) on Company Value (Y). This research used secondary data, namely the company's financial statements. The object of analysis is Property and Real Estate companies listed on the Indonesia Stock Exchange during the 2020-2023 period. The sampling technique used in this research was purposive sampling which resulted in 23 companies with a total observation of 92 samples. Data were analyzed using a multiple linear regression analysis model, coefficient of determination, F Test, t Test. The results of the simultaneous hypothesis show that Leverage, Company Size, Company Growth, and Profitability have an effect on Company Value. The results of the partial hypothesis study show that the variables Leverage, Company Size, Company Growth do not have a significant effect on Company Value while Profitability has a negative and significant effect on Company Value. The results of the determination coefficient analysis obtained an adjusted R square of 0.287, meaning that the variation in the Company Value variable that can be explained by Leverage, Company Size, Company Growth, and Profitability is 28.7%, while the remaining 72.3% is influenced by other variables outside the regression model in this study.
National-Identitarian Politics: A Comparative Analysis of Putin, Trump, Orbán, and Bolsonaro's Reactionary Agendas
Authors: Lopes Julio
Published: February 2025

The paper politically characterizes the contemporary Far-right as a reactionary tendency, namely national-identitarian, by comparing the government policies of four ultra-conservative leaders: Putin (Russia), Trump (USA), Orbán (Hungary) and Bolsonaro (Brazil), who were selected for their governmental roles as leaders of this ideological bloc on four different continents. The comparative analysis relates government rhetoric and government measures in order to delineate their political strategy of gradually authoritarian reconversion of democracies to make them insensible to individuals and groups that differ from their conservative normative ideal, respectively characterized as: neo-Eurasian, (Russian), neo-nativist (American), neo-crusader (Hungarian) and violent social eugenism (Brazilian), by the author. From this perspective, the democratic response, as an alternative to the authoritarian involutions implemented, would consist of public policies that combine traditional and intentional differences (individual and social), including eventual evolutionary reforms of parliamentary representation to make it more permeable to them, in order to better harmonize the daily coexistence of different ways of life.
Моделирование растворимости гесафторацетилацетоната палладия в диоксиде углерода
Authors: Костенко М.О. , Восков А.Л. , Зуев Я.И. , Курыкин М.А. , Паренаго О.О.
Published: February 2025

Рассмотрены два варианта моделирования растворимости гексафторацетилацетоната палладия в диоксиде углерода (в суб- и сверхкритических условиях) на основе ранее полученных экспериментальных данных. В рамках первого варианта использовали уравнение состояния Пенга—Робинсона, в качестве альтернативного — уравнение Крастила. Были найдены оптимальные параметры модельных уравнений. Оба варианта моделирования позволили с удовлетворительной точностью описать изотермы растворимости в диапазоне температур 313—353 K и мольных долей комплекса до 0,8 %. Стандартные отклонения при этом составляли 2,6 г/л и 2,0 г/л для уравнений Пенга—Робинсона и Крастила соответственно.

The paper considers two approaches for modeling the solubility of palladium hexafluoroacetylacetonate in carbon dioxide under sub- and supercritical conditions based on previously collected experimental data. The first approach uses the Peng—Robinson equation of state, while the second uses the Chrastil equation as an alternative. During the study, optimal parameters for the model equations were determined. Both modeling approaches allowed for a satisfactory approximation of the solubility isotherms within the temperature range of 313—353 K and a molar fraction of the complex of up to 0.8%. Standard deviations for the Peng—Robinson and Chrastil models were 2.6 and 2.0 g/l, respectively.
Leading Beyond Barriers: Creating Impact in an Age of Polycrisis
Authors:   Center for Creative Leadership, Leslie Jean , Pasmore William
Published: February 2025

This paper examines the structural impediments to addressing systemic global challenges in what scholars term a “polycrisis” environment—where multiple crises interact and amplify each other through interconnected systems. The analysis identifies two primary categories of barriers: belief systems that disconnect individuals from systemic issues and social barriers that hinder collective action.

Drawing on successful historical interventions like smallpox eradication and polio elimination, the authors establish four essential components for systemic change: technological capability, cross-boundary collaboration, sustained engagement, and scalable resources. However, they argue that human-centered obstacles, particularly entrenched belief systems and social barriers, often determine success or failure despite technical feasibility.

The paper systematically analyzes eleven belief barriers across three categories: ideological (including neoliberalism and human exceptionalism), awareness-related (such as apathy and information overload), and confidence-related (including distrust in science and issue complexity). Additionally, it examines three critical collective action barriers: vested interests, disagreement on solutions, and lack of collective will.

To address these challenges, the authors propose an integrated framework combining Direction-Alignment-Commitment (DAC) theory with the Gleicher/Dannemiller Change Formula (D × V × F > R). They advocate for four high-leverage strategies: fostering personal ownership of systemic issues, driving continuous experiential learning, scaling small wins into broader change, and transforming individual stakes into collective will.

The research particularly emphasizes leadership development as a critical force multiplier, serving as a bridge between theoretical frameworks and practical application. The authors conclude that successful intervention in systemic crises requires not only technical solutions but also transformation of human belief systems and social barriers through sustained, collaborative engagement.
FECOLITH OF MECKLE'S DIVERTICULUM: RARE CASE OF ACUTE INTESTINAL OBSTRUCTION
Authors: Sikerwar Ekta , Kumar N Arun , N Punith
Published: February 2025

Meckle's diverticulum is considered as the most common congenital abnormality of the small intestine. Herewith we are
reporting a rare case of acute intestinal obstruction caused by the fecolith of Meckle's diverticulum. There are very few
similar cases reported in history with no reported case from India till date. This patient was managed with resection anastomosis of the involved
segment and regular postoperative follow up.
A COMPARATIVE STUDY BETWEEN CALISTHENICS EXERCISES AND YOGA IN YOUNG ADULTS TO BULID UPPER LIMB MUSCLE STRENGTH
Authors: Joshi Deepanshu , Yadav Deepak , Mathur Keerty
Published: February 2025

Background: Health promotion encourages healthier lifestyles for optimal well-being, encompassing physical, mental,
and social health. Regular physical activity, including resistance training and calisthenics, boosts overall health, muscular
strength, and exibility. Yoga unites body and mind, promoting physical and spiritual growth. Strength and coordination of the upper limb are
vital for daily tasks, enhanced by consistent exercise. The objective of this study is to compare th Objectives: e effects of calisthenics exercises
and yoga on building upper limb muscle strength in young adults. Thirty participants were divided in Methods: to two groups: Calisthenics and
Yoga. Hand-grip strength was measured using a dynamometer before and after 3 weeks of daily 40-minute training. Each participant performed
three trials, with the highest score used for analysis. Weekly strength assessments were conducted for both groups. The results showed no Result:
statistically signicant difference in grip strength between the Calisthenics and Yoga groups at any time point. Both groups demonstrated a
substantial increase in upper limb muscle strength, with signicant improvement observed in both, but no signicant difference between the two
training methods. This study highlights the signicant role of Calisthenics and Yoga in physical tra Conclusion: ining, promoting muscle strength
and exibility. It is recommended for tness trainers and clinical practitioners to integrate both exercises into training programs for optimal
results and overall tness. Additionally, athletes can benet from these practices to enhance muscle strength and performance.
CLINICAL OUTCOMES OF AMMONIUM LACTATE 12% IN PATIENTS WITH SEVERE XEROSIS & KERATOSIS PILARIS: A CASE SERIES
Authors: Thakur Manya , Priyanka Chikoti
Published: February 2025

Xerosis, characterized by dry, rough, and scaly skin, and keratosis pilaris (KP), identied by small, rough bumps,
signicantly impact skin health and quality of life. This study evaluates the safety and efcacy of Lacderm® Lotion
(ammonium lactate 12%) in treating these conditions. The study enrolled three patients presenting with symptoms of xerosis or KP. Treatments
included Lacderm Lotion applied either once or twice daily, combined with adjunct therapies such as chemical peels, laser-based treatments, and
SPF 50 sunscreen. Over a three-month period, signicant improvements in hydration, skin texture, and reduction of symptoms such as itching,
scaling, and roughness were observed. Lacderm Lotion's dual action as a humectant and exfoliant demonstrated its efcacy in alleviating the
symptoms of xerosis and KP, restoring the skin's natural barrier and preventing recurrences. This non-greasy formulation enhances adherence and
ensures long-term benets, making it a well-tolerated option for managing these conditions
A STUDY ON CLINICAL PROFILE AND RISK FACTORS ASSOCIATION WITH VIRAL DIARRHEA
Authors: Verma Pratima , K Rawat Sumit , Jain Ashish
Published: February 2025

Introduction: Due to non-availability or non conduction of viral diagnostic test, diarrhea often misinterpreted to be
bacterial in nature leading to irrational antibiotics usage. Thus, study focuses on clinical prole and risk factors
association with viruses using Multilpex PCR. Material And Methods: The study was conducted between July 2021 to July 2022 including 150
stool samples of under 5 year children, presented with acute diarrhea and tested with Multiplex RT-PCR. Results: 18.7% of viral diarrhea was
detected with highest prevalence of Rotavirus 57.1% in infants with 53.6% Majority cases presented with diarrhea with vomiting and fever with
46.4%. Severe dehydration 28.6% was present in rotavirus infection and severe acute malnutrition (SAM) in mixed viral infection. Conclusion:
The common presentation in virus positive cases was diarrhea with vomiting and fever of moderate severity. Multiplex PCR increases diagnostic
yield in diarrhea of similar clinical presentation by different etiological agents.
Increasing the Growth and Yield of Long Bean Plants (Vigna sinensis L.) Against POC and NPK Fertilizers
Authors: Anggita Ferliani Faizah  , Santoso Juli , Suryandika Fadila
Published: February 2025

Fertilization is a critical aspect of long bean cultivation. Fertilizers can be applied to the soil by adding NPK fertilizer or to the leaves using liquid organic fertilizer (POC). This study aims to investigate the interaction between POC and NPK fertilizer and identify the optimal POC concentration and NPK fertilizer dosage to enhance the yield of long bean plants. The research was conducted from September 2024 to November 2024 in Perbon, Tuban District, Tuban Regency, East Java Province, at an altitude of 5 to 182 meters above sea level, a temperature of 24 ℃ - 33 ℃, humidity ± 76%, and rainfall 1100-1500 mm/year. The research method used was a randomized block design (RAK) with two factors. The first factor is the POC (P) concentration with 4 levels, namely 0 ml / L, 4 ml / L, 8 ml / L, and 12 ml / L. The second factor is the NPK (N) fertilizer dose with 3 levels:10 g/plant, 16 g/plant, and 22 g/plant. The study showed that the combination treatment of 12 ml/L POC with 10 g/plant NPK affected the number of pods, pod weight per plant, pod weight per plot, and pod weight per hectare.
A Atuação do Terapeuta Ocupacional na Hemofilia: Relato de Caso
Authors: Pereira Elisa
Published: February 2025

Introdução: A hemofilia é um distúrbio hereditário grave de coagulação sanguínea que pode provocar deformidades e incapacidades permanentes ou transitórias, comprometendo o desempenho ocupacional em algumas áreas de desempenho do paciente acometido.  Procedimento metodológico: este é um relato de caso que visa apresentar a atuação do Terapeuta Ocupacional junto a um lactente com hemofilia A grave durante o período de hospitalização no Instituto Estadual de Hematologia Arthur de Siqueira Cavalcanti – Hemorio. Discussão: a importância da Terapia Ocupacional no trabalho da equipe multidisciplinar humanizada, sendo essencial para a organização das funções físicas e mentais do paciente, através de práticas profissionais em conjunto. Conclusão: ressalta-se a necessidade da atuação terapêutica ocupacional nos casos de hemofilia desde a profilaxia a reabilitação. O profissional Terapeuta Ocupacional fazendo uso dos seus conhecimentos técnicos, avaliando e definindo o programa de tratamento, observando a relação entre a pessoa, seu envolvimento em ocupações importantes e o contexto/ambiente nos quais está inserida.