bluuebunny/crossref_metadata_2025 huggingface dataset:
Leadership for Educational Inclusion: Design and Validation of a Measurement Instrument
Authors: Zúñiga Daniela , Cerda Gamal , Bustos Navarrete Claudio
Published: February 2025

This article addresses the validation of an instrument designed to measure organizational leadership practices for inclusion and evaluates the said instrument’s factorial structure and convergent validity. This work responds to the need for quantitative tools to assess how school principals promote inclusion, in recognition of its importance for guaranteeing student access to an equitable quality education at all levels, from early childhood education through high school. The above-referenced instrument was developed based on a comprehensive literature review and consultations with experts, resulting in a 36-item scale structured in six key dimensions: D1: Professional Development; D2: Inclusive Vision; D3: Support for the Teaching–Learning Process; D4: Building Networks; D5: Participation and Dialog, and D6: Resource Management. The validation process included a confirmatory factor analysis that supported the existence of a hierarchical structure of a general factor of leadership for inclusion that determines the aforementioned key dimensions, with adequate fit indices (χ2(588) = 1694.624, p < 0.001, CFI = 0.945, TLI = 0.941, RMSEA = 0.060, SRMR = 0.034) and high internal consistency in the general scale (α = 0.98, Ω = 0.96). In terms of convergent validity, the instrument showed significant and consistent correlations with related constructs such as teacher self-efficacy and pedagogical leadership. This study highlights the importance of leadership for inclusion as a central element of fostering participation and learning in diverse school contexts, by providing a reliable tool for continuous improvement of the school management team’s performance of its functions. Also, it is important input for education policymakers charged with formulating student equity, who recognize the enhanced well-being and active participation in the social environment that result from the greater inclusion of students in their educational communities.
Adaptive Step Size Linear Multistep Method for Small Signal Stability Analysis in Power Systems with Time Delays
Authors: Ma Shuyang , Li Yan
Published: February 2025

Distributed energy resources (DERs) offer a promising solution for enhancing the resilience and efficiency of modern power systems. However, the inherent time delays in their communication and control systems can degrade their small signal stability, affecting reliable operation. This paper presents an Adaptive Step Size Linear Multistep Method (AS-LMS), for analyzing small signal stability of the system in the presence of time delays. The AS-LMS automatically adjusts the step size based on the computed solution behavior, achieving a balance between accuracy and computational efficiency. The essential idea is to use smaller steps in regions where the dynamic is changing rapidly and larger steps in regions where it is relatively smooth. Two adaptive step size strategies are proposed. The first strategy compares the current step size to the initial step size, ensuring consistency across iterations. The second strategy compares the current step size with the previous step size, allowing for more local adjustments throughout the numerical integration process. We evaluate the performance of the proposed AS-LMS method on two standard testing systems, i.e., the IEEE 9-bus and IEEE 30-bus systems. Both systems are modified to converter-interfaced DER units and different delays are applied to each testing system. The results show that the proposed AS-LMS method improves computational efficiency while maintaining accuracy in stability assessments. By balancing the accuracy and computational efficiency, the AS-LMS method provides a potent tool to analyze the stability of power systems with time delay.
Towards Realistic Human Motion Prediction with Latent Diffusion and Physics-Based Models
Authors: Ren Ziliang , Jin Miaomiao , Nie Huabei , Shen Jianqiao , Dong Ani , Zhang Qieshi
Published: February 2025

Many applications benefit from the prediction of 3D human motion based on past observations, e.g., human–computer interactions, autonomous driving. However, while existing methods based on encoding–decoding achieve good performance, prediction in the range of seconds still suffers from errors and motion switching scarcity. In this paper, we propose a Latent Diffusion and Physical Principles Model (LDPM) to achieve accurate human motion prediction. Our framework performs human motion prediction by learning information about the potential space, noise-generated motion, and combining physical control of body motion, where physics principles estimate the next frame through the Euler–Lagrange equation. The framework effectively accomplishes motion switching and reduces the error accumulated over time. The proposed architecture is evaluated on three challenging datasets: Human3.6M (Human 3D Motion Capture Dataset), HumanEva-I (Human Evaluation dataset I), and AMASS (Archive of Motion Capture as Surface Shapes). We experimentally demonstrate the significant superiority of the proposed framework in the prediction range of seconds.
Social-Aware Link Reliability Prediction Model Based Minimum Delay Routing for CR-VANETs
Authors: Wang Jing , Dan Wenshi , Li Hong , Yan Lingyu , Mei Aoxue , Tang Xing
Published: February 2025

Cognitive radio vehicle ad hoc networks (CR-VANETs) can utilize spectrum resources flexibly and efficiently and mitigate the conflict between limited spectrum resources and the ever-increasing demand for vehicular communication services. However, in CR-VANETs, the mobility characteristics of vehicles as well as the dynamic topology changes and frequent disruptions of links can lead to large end-to-end delays. To address this issue, we propose the social-based minimum end-to-end delay routing (SMED) algorithm, which leverages the social attributes of both primary and secondary users to reduce end-to-end delay and packet loss. We analyze the influencing factors of vehicle communication in urban road segments and at intersections, formulate the end-to-end delay minimization problem as a nonlinear integer programming problem, and utilize two sub-algorithms to solve this problem. Simulation results show that, compared to the intersection delay-aware routing algorithm (IDRA) and the expected path duration maximization routing algorithm (EPDMR), our method demonstrates significant improvements in both end-to-end delay and packet loss rate. Specifically, the SMED routing algorithm achieved an average reduction of 11.7% in end-to-end delay compared to EPDMR and 25.0% compared to IDRA. Additionally, it lowered the packet loss rate by 24.9% on average compared to EPDMR and 32.5% compared to IDRA.
Performance Comparison of Asymmetrical Multilevel Inverter with Different Switching Techniques
Authors: Srivastava Ashish , Chauhan Anurag , Tripathi Anurag
Published: February 2025

In the present context, the asymmetrical multilevel inverter (AMLI) with minimal switches is extensively used to achieve high power quality across a load. The conventional inverter suffers from the disadvantages of large system components, low efficiency, high THD, high losses, etc. The asymmetrical multilevel inverter therefore offers an appropriate alternative to address the key issues of conventional inverters. The present paper aims to analyze the performance comparison of the proposed 15-level AMLI structure with different switching techniques, i.e., NLC, SHEPWM and SPWM. Moreover, loss analysis of the considered AMLI has been performed for different switching techniques. Furthermore, different performance parameters such as conduction losses, switching losses, total losses, THD, efficiency and power delivery of the inverter have been evaluated. It has been observed that the considered inverter topology offers the superior performance with the SHEPWM modulation technique at a modulation index of 0.8. Finally, hardware arrangement of the inverter has also been developed in the laboratory with a real-time Opal-RT 4510 simulator to verify the accuracy of simulation results.
Modeling an Electrolyzer in a Graph-Based Framework
Authors: Nguyen Buu-Van , Romate Johan , Vuik Cornelis
Published: February 2025

We propose a linear electrolyzer model for steady-state load flow analysis of multi-carrier energy networks, where the electrolyzer is capable of producing hydrogen gas and heat. For our electrolyzer model, we show that there are boundary conditions that lead to a well-posed problem. We derive these conditions for two cases, namely with a known and unknown heat efficiency parameter. Furthermore, the derived conditions are validated numerically. Moreover, we investigate the extensibility of our model by including nonlinear models from electricity, gas, and heat. In this setting, we derived boundary conditions based on our previous findings. Due to the involvement of nonlinearity, it is a challenge to prove that the boundary conditions lead to a well-posed problem. Therefore, we simulated the electrolyzer connected with an electricity, gas, and heat system. Additionally, we considered a known and unknown heat efficiency parameter. The numerical results support that the linear electrolyzer model is solvable in a multi-carrier energy network.
Comparing Traditional Methods and Modern Statistical Techniques for Tree Height Prediction
Authors: Hobiger Jakob , Laa Ursula , Vospernik Sonja
Published: February 2025

Forest mensuration is important to gain knowledge and information about forest stands. Because tree height often proves more difficult to measure than diameter, different statistical models are used for their estimation instead. In this paper, the data of 986 spruce trees (Picea abies KARST. (L.)), measured in the federal states of Salzburg and Tyrol (Austria), were used to train and compare random forest with more traditional approaches such as linear and non-linear mixed models and a classical uniform height curve. For model comparison, RMSE, percent RMSE, percent bias, and bias are used. For further visualization of the differences, residual plots, partial dependence plots, and conditional dependence plots are shown. The results show that random forest (RMSE 2.23 m) can compete with more traditional methods, such as non-linear (RMSE 2.14 m) and linear (RMSE 2.24 m) mixed models or uniform height curves (RMSE 2.92 m), but is not able to outperform those methods, especially when it comes to extrapolation or prediction in areas where training data are sparse or not available. Furthermore, the results show that the incorporation of additional covariates can improve the prediction of certain models.
Increasing the Nutritional Value of Camelina Meal via Trametes versicolor Solid-State Fermentation with Various Co-Substrates
Authors: Boardman Kristin , Sun Xiao , Yao Dana , Chen Chi , van Lierop Leif , Hu Bo
Published: February 2025

Upcycling low-cost agricultural by-products into valuable and sustainable alternative feeding materials could secure human food-supply chains with a low carbon footprint. This study explored increasing the feeding value of camelina meal (CAM) mixed with wheat bran (WB), soybean hulls (SH), and rice hulls (RH) for monogastric animals via solid-state fermentation (SSF) using white rot fungus Trametes versicolor. Experiments evaluated fungal growth, amino acid profiles, structural carbohydrates, glucosinolates, phytate and in vitro dry matter digestibility (IVDMD). Weight loss analysis indicated that fungal growth was more active in WB/CAM and SH/CAM substrates than RH/CAM. Significant phytic acid degradation and near-complete glucosinolate elimination improved CAM feed quality across all substrates. Fermentation increased total and essential amino acids in the SH/CAM mixture, while reductions occurred in WB/CAM and RH/CAM mixtures. SH/CAM fermentation caused substantial cellulose and hemicellulose degradation, resulting in a 44% IVDMD increase. Conversely, RH/CAM fermentation decreased IVDMD despite a reduction in cellulose, possibly due to protein degradation. This study demonstrates the potential of T. versicolor-mediated SSF to enhance CAM and other agricultural residues’ feeding value for monogastric animal applications.
When Cybersecurity Meets Accessibility: A Holistic Development Architecture for Inclusive Cyber-Secure Web Applications and Websites
Authors: Stelea George Alex , Sangeorzan Livia , Enache-David Nicoleta
Published: February 2025

In today’s technology-centric era, digital transformation has made accessibility and cybersecurity critical components for developing inclusive web applications that are essential in daily operations. However, current development models often treat accessibility and cybersecurity separately, leading to solutions that may excel in one area while lacking in the other. This paper addresses this gap by proposing the Holistic Security and Accessibility Layered Architecture (HSALA), a novel architectural model that integrates accessibility and cybersecurity throughout the development process. HSALA consists of five interconnected layers, each paired with a corresponding security layer, ensuring that both accessibility and security are embedded at every level. We conduct a theoretical and analytical case study comparing HSALA with the traditional three-layered architecture, demonstrating HSALA’s superiority in addressing contemporary challenges related to accessibility, cybersecurity, scalability, and user experience. The findings indicate that HSALA provides a robust framework for developing secure and inclusive web applications, promoting a more equitable digital ecosystem. We outline a roadmap for future work, including empirical validation and practical implementation strategies. HSALA represents a significant advancement in web application development, fostering inclusivity and trust in an increasingly digital society.
Alternative Protein-Based Meat and Fish Analogs by Conventional and Novel Processing Technologies: A Systematic Review and Bibliometric Analysis
Authors: Gürbüz Buse N. , Pastrana Lorenzo M. , Pereira Ricardo N. , Cerqueira Miguel A.
Published: February 2025

This study aimed to explore the extent of research on developing meat and fish analogs using alternative proteins. It examined the novel and conventional technologies employed to produce these analogs and identified the primary alternative proteins that were used in their production through a systematic literature review (SLR) using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and bibliometric analysis. The SLR resulted in 46 and 13 meat and fish analog records, respectively, according to defined selection and exclusion criteria. Meat analogs are mainly produced using extrusion, followed by the novel 3D printing and mixing technology. Additionally, fish analogs are mainly produced by mixing and 3D printing. Meat analogs are mainly produced from pulses, followed by cereal, fungi, microalgae, other sources, and insects. Similarly, pulse proteins were the most used alternative protein source for the fish analogs, followed by macro- and microalgae, plant, cereal, and fungal proteins. According to keyword analysis, rheological and textural properties are essential for meat and fish analogs. This review provides up-to-date information to clarify the critical role of alternative proteins and the utilization of novel technologies in the production of meat and fish analogs. It also gives essential insights into the expected increase in studies to determine sustainability and overcome challenges related to textural, sensorial, and nutritional properties.
Microbiome Flora and Metabolomics Analysis of Mung Bean Sour Liquid in Luoyang, China
Authors: Zhang Xinyi , Zhao Shengjuan , Yuan Jiangfeng , Feng Lixing
Published: February 2025

In order to reveal the fermentation microflora and fermentation metabolites of traditional mung bean sour liquid (MBSL) in Luoyang area, China, this experiment was sampled from four administrative districts of Luoyang, and volatile metabolites and non-targeted metabolites were detected and analyzed by HS-SPME-GC-MS and LC-MS, and bacterial and fungal sequencing were analyzed by Illumina MiSeq high-throughput sequencing technology. And the correlation between microorganisms and metabolites was conducted. The results showed that 42 volatiles were detected in four MBSL samples named Jianxi (JX), Liujia (Liu), LiJia (LJ), Majia (MJ), with 11 identical volatile flavor subtances, and the highest content of esters was found in JX, Liu, and LJ, and the highest content of acids was found in MJ. A total of 1703 non-targeted metabolites were identified, and there were more types of amino acids, carbohydrates, fatty acids and their complexes, flavonoids, carbonyl compounds, and organic acids, accounting for 40.93%. High-throughput sequencing results showed that there were nine bacterial and fungal genera with an average abundance of more than 1%, and the dominant genera mainly belonged to lactic acid bacteria and yeast. The composition of dominant genera was different in different workshop samples, and the abundance of fungal genera differed greatly. Among the volatile substances, Methyleugenol, a volatile component, was related to more bacteria, and ketones and hydrocarbons may be more closely associated with bacteria. Acetic acid and Oxalic acid may be more closely related to fungi, while some esters were more closely related to both fungal and bacterial genera. For non-target metabolites, amino acid and alcohol metabolites may be more influenced by bacteria, and organic acids and flavonoids may be more influenced by fungi.
Formation Mechanisms of Protein Coronas on Food-Related Nanoparticles: Their Impact on Digestive System and Bioactive Compound Delivery
Authors: Rui Xin , Fu Kai , Wang Hao , Pan Tiange , Wang Wenjun
Published: February 2025

The rapid development of nanotechnology provides new approaches to manufacturing food-related nanoparticles in various food industries, including food formulation, functional foods, food packaging, and food quality control. Once ingested, nanoparticles will immediately adsorb proteins in the biological fluids, forming a corona around them. Protein coronas alter the properties of nanoparticles, including their toxicity, cellular uptake, and targeting characteristics, by altering the aggregation state. In addition, the conformation and function of proteins and enzymes are also influenced by the formation of protein coronas, affecting the digestion of food products. Since the inevitable application of nanoparticles in food industries and their subsequent digestion, a comprehensive understanding of protein coronas is essential. This systematic review introduces nanoparticles in food and explains the formation of protein coronas, with interactions between proteins and nanoparticles. Furthermore, the potential origin of nanoparticles in food that migrate from packaging materials and their fates in the gastrointestinal tract has been reviewed. Finally, this review explores the possible effects of protein coronas on bioactive compounds, including probiotics and prebiotics. Understanding the formation mechanisms of protein coronas is crucial, as it enables the design of tailored delivery systems to optimize the bioavailability of bioactive compounds.
Probing Malware Propagation Model with Variable Infection Rates Under Integer, Fractional, and Fractal–Fractional Orders
Authors: Razi Nausheen , Bano Ambreen , Ishtiaq Umar , Kamran Tayyab , Garayev Mubariz , Popa Ioan-Lucian
Published: February 2025

Malware software has become a pervasive threat in computer and mobile technology attacks. Attackers use this software to obtain information about users of the digital world to obtain benefits by hijacking their data. Antivirus software has been developed to prevent the propagation of malware, but this problem is not yet under control. To develop this software, we have to check the propagation of malware. In this paper, we explore an advanced malware propagation model with a time-delay factor and a variable infection rate. To better understand this model, we use fractal–fractional theory. We use an exponential decay kernel for this. For theoretical purposes (existence, uniqueness, and stability), we use the results from fixed-point theory, and, for numerical purposes, a Lagrange two-point interpolation polynomial is used to develop an algorithm. Matlab R2016a is used for simulation, and the physical significance is assessed. We examine the impact of different fractal and fractional orders for various parameters. Moreover, we compare four different mathematical models (classical, fractional, fractal, and fractal–fractional). Also, constant and variable fractional and fractal orders are compared using graphs. We investigate the idea that significant perturbation in infected nodes might be due to minor changes. This work may help with developing antivirus strategies in real life.
Control Error Convergence Using Lyapunov Direct Method Approach for Mixed Fractional Order Model Reference Adaptive Control
Authors: Ceballos Benavides Gustavo E. , Duarte-Mermoud Manuel A. , Martell Lisbel Bárzaga
Published: February 2025

This paper extends Lyapunov stability theory to mixed fractional order direct model reference adaptive control (FO-DMRAC), where the adaptive control parameter is of fractional order, and the control error model is of integer order. The proposed approach can also be applied to other types of model reference adaptive controllers (MRACs), provided the form of the control error dynamics and the fractional order adaptive control law are similar. This paper demonstrates that the control error will converge to zero, even if the derivative of the classical Lyapunov function V˙ is positive during a transient period, as long as V˙(e,ϕ) tends to zero as time approaches infinity. Finally, this paper provides application examples that illustrate both the convergence of the control error to zero and the behavior of V˙(e,ϕ).
Assessment of Minaret Inclination and Structural Capacity Using Terrestrial Laser Scanning and 3D Numerical Modeling: A Case Study of the Bjelave Mosque
Authors: Hamzić Adis , Kulo Nedim , Đidelija Muamer , Topoljak Jusuf , Mulahusić Admir , Tuno Nedim , Ademović Naida
Published: February 2025

Terrestrial laser scanners (TLS) are widely employed in structural health monitoring (SHM) of large objects due to their superior capabilities compared to traditional geodetic methods. TLS provides rapid and detailed data on the geometric properties of objects, enabling various types of analyses. In this study, TLS was utilized to examine the minaret of the Bjelave Mosque, located in Sarajevo, Bosnia and Herzegovina. The inclination of the minaret was assessed using principal component analysis (PCA) and linear regression (LR) applied to sampled data from four edges of the minaret’s body. The geodetically determined inclination values were used as input data for subsequent static and pushover analyses conducted in DIANA FEA, where the minaret was modeled. The analyses indicate that the inclination increases stress and strain, leading to larger cracks and reduced structural capacity, as demonstrated by the pushover analysis curves. This study highlights the combined impact of structural inclination, water infiltration, and settlement on the minaret’s integrity and proposes these findings as a basis for future maintenance and strengthening measures.
Three-Dimensional Modelling Approach for Low Angle Normal Faults in Southern Italy: The Need for 3D Analysis
Authors: Saxena Asha , Toscani Giovanni , Bonini Lorenzo , Seno Silvio
Published: February 2025

This paper presents three 3D reconstructions of different analogue models used to reproduce, interpret, and describe the geological setting of a seismogenic area in Southern Italy—the Messina Strait. Three-dimensional analysis is a technique that allows for less sparse and more congruent and coherent information about a study zone whose complete understanding reduces uncertainties and risks. A thorough structural and geodynamic description of the effects of low-angle normal faulting in the same region through analogue models has been widely investigated in the scientific literature. Sandbox models for fault behaviour during deformation and the effects of a Low Angle Normal Fault (LANF) on the seismotectonic setting are also studied. The deformational patterns associated with seismogenic faults, rotational behaviour of faults, and other related problems have not yet been thoroughly analysed. Most problems, like the evolution of normal faults, fault geometry, and others, have been cited and briefly outlined in earlier published works, but a three-dimensional approach is still significant. Here, we carried out a three-dimensional digital model for a complete and continuous structural model of a debated, studied area. The aim of this study is to highlight the importance of fully representing faults in complex and/or non-cylindrical structures, mainly when the shape and dimensions of the fault(s) are key parameters, like in seismogenic contexts.
Natural Hydrogen in Uruguay: Catalog of H2-Generating Rocks, Prospective Exploration Areas, and Potential Systems
Authors: Sequeira Marcos , Morales Ethel , Moretti Isabelle , Veroslavsky Gerardo , Plenc Facundo , d’Avila Roberto , de Santa Ana Hector
Published: February 2025

The increasing demand for carbon-free energy in recent years has positioned hydrogen as a viable option. However, its current production remains largely dependent on carbon-emitting sources. In this context, natural hydrogen, generated through geological processes in the Earth’s subsurface, has emerged as a promising alternative. The present study provides the first national-scale assessment of natural dihydrogen (H2) potential in Uruguay by developing a catalog of potential H2-generating rocks, identifying prospective exploration areas, and proposing H2 systems there. The analysis includes a review of geological and geophysical data from basement rocks and onshore sedimentary basins. Uruguay stands out as a promising region for natural H2 exploration due to the significant presence of potential H2-generating rocks in its basement, such as large iron formations (BIFs), radioactive rocks, and basic and ultrabasic rocks. Additionally, the Norte Basin exhibits potential efficient cap rocks, including basalts and dolerites, with geological analogies to the Mali field. Indirect evidence of H2 in a free gas phase has been observed in the western Norte Basin. This suggests the presence of a potential H2 system in this area, linked to the Arapey Formation basalts (seal) and Mesozoic sandstones (reservoir). Furthermore, the proposed H2 system could expand exploration opportunities in northeastern Argentina and southern Brazil, given the potential presence of similar play/tramp.
Ultrasound Imaging Equipment for Evaluating Chronic Constipation in Home Healthcare: A Review Article
Authors: Okawa Yohei
Published: February 2025

The purpose of this study was to propose a new diagnostic approach using ultrasound imaging equipment. Many patients suffer from constipation, and medical professionals have difficulty providing treatment and care. The prevalence of constipation increases with age, and this condition strongly impacts the quality of life. Herein, a new diagnostic approach using ultrasound imaging equipment was examined. The study design was a narrative review, and the authors discussed existing knowledge, challenges, and prospects based on previous research. References were obtained by searching PubMed and Centralblatt für die gesammte Medicine. Most of the papers were published in English. Papers with scientific knowledge that has already been published in academic journals were extracted from these documents. No restrictions were placed on the publication date, sample size, study design, or age of subjects, and only published papers reporting scientific knowledge and consensus were cited. As a result, we suggest that this approach classifies the state of fecal retention in the rectum into three patterns. If ultrasound imaging indicates that the rectum is free of feces, there is no need to administer an enema. If hard stool is found, dissection can be performed to prevent complications such as severe intestinal perforation due to subsequent administration of laxatives. If ultrasound imaging reveals normal stool in the rectum, inducing defecation with suppositories may enable treatment for constipation.
Colonial Catharsis: Romantic-Realism and the Imperial Gaze in Confessions of a Thug
Authors: Frank Kevin
Published: February 2025

This article is situated in the context of Victorian imaginations saturated with stories of crime and punishment and influenced by Romantic horror and terror aesthetics involving the sublime. The author delineates how the novel’s realism is affixed to an inherent romanticism and argues that the affect and effect of terror and horror resulting from colonial crimes exhibited in the novel allow readers to experience catharsis and to reassert their humanity through the imperial gaze. Additionally, readers may confirm the values of the ‘home’ nation and the justification of British colonisation through the trope of ‘bringing order out of chaos’.
Working Conditions and Well-Being of School Nurses in Spain: Impact on Job Satisfaction and Professional Quality of Life
Authors: Zafra-Agea José Antonio , Ramírez-Baraldes Estel·la , Maldonado-Manzano Eduard , Obradors-Rial Núria , Puiggrós-Binefa Antònia , Colillas-Malet Ester
Published: February 2025

Background: School nurses play a crucial role in promoting student health, addressing issues such as substance use, mental health, physical health, violence, and sexual health. However, their job satisfaction has been understudied, particularly in relation to the challenges they face. Objective: This study evaluates the job satisfaction and professional quality of life among school nurses and nurses working in educational settings in Spain. Methods: A descriptive cross-sectional study was conducted (November 2023–February 2024) with 553 nurses from various regions of Spain, using the Font-Roja job satisfaction and CPV-35 professional quality of life questionnaires. Results: Our results showed significant differences in job satisfaction between nurses in healthcare and educational settings, influenced by factors such as workload and institutional support. Most participants (97.5% women, median age ~40 years) had less than 5 years of experience. The lack of a dedicated nurse in half of the schools highlights disparities in service provision. Discussion: This study emphasizes the need for supportive policies and work environments to improve the well-being and job satisfaction of nurses in school settings.
Investigation into Application of AI and Telemedicine in Rural Communities: A Systematic Literature Review
Authors: Perez Kinalyne , Wisniewski Daniela , Ari Arzu , Lee Kim , Lieneck Cristian , Ramamonjiarivelo Zo
Published: February 2025

Recent advances in artificial intelligence (AI) and telemedicine are transforming healthcare delivery, particularly in rural and underserved communities. Background/Objectives: The purpose of this systematic review is to explore the use of AI-driven diagnostic tools and telemedicine platforms to identify underlying themes (constructs) in the literature across multiple research studies. Method: The research team conducted an extensive review of studies and articles using multiple research databases that aimed to identify consistent themes and patterns across the literature. Results: Five underlying constructs were identified with regard to the utilization of AI and telemedicine on patient diagnosis in rural communities: (1) Challenges/benefits of AI and telemedicine in rural communities, (2) Integration of telemedicine and AI in diagnosis and patient monitoring, (3) Future considerations of AI and telemedicine in rural communities, (4) Application of AI for accurate and early diagnosis of diseases through various digital tools, and (5) Insights into the future directions and potential innovations in AI and telemedicine specifically geared towards enhancing healthcare delivery in rural communities. Conclusions: While AI technologies offer enhanced diagnostic capabilities by processing vast datasets of medical records, imaging, and patient histories, leading to earlier and more accurate diagnoses, telemedicine acts as a bridge between patients in remote areas and specialized healthcare providers, offering timely access to consultations, follow-up care, and chronic disease management. Therefore, the integration of AI with telemedicine allows for real-time decision support, improving clinical outcomes by providing data-driven insights during virtual consultations. However, challenges remain, including ensuring equitable access to these technologies, addressing digital literacy gaps, and managing the ethical implications of AI-driven decisions. Despite these hurdles, AI and telemedicine hold significant promise in reducing healthcare disparities and advancing the quality of care in rural settings, potentially leading to improved long-term health outcomes for underserved populations.
The Rage of the Dog Star: Spatio-Temporal Risk of Malaria in the Eastern Mediterranean During the Crusader Period (c. 1000–c. 1250)
Authors: Nicovich John Mark
Published: February 2025

Multiple forms of endemic malaria existed in the Mediterranean Basin from the 3rd millennium BCE until eradication regimes were imposed in the 20th century, with major societal health impacts across the history of the region. Little attention has been paid to the role endemic malaria played during the high medieval period, especially during the Crusades, when large Christian armies transited the Mediterranean to conquer the Levant, forging new states, trade lanes and pilgrimage routes in the process. This study utilizes a recent GIS-enabled malaria risk model validated for the pre-modern Mediterranean to re-evaluate contemporary accounts of illness and epidemics in the Crusader Levant. While medieval sources often provide ambiguous descriptions of disease, careful consideration of these accounts in light of the demonstrable spatial and temporal risk of malaria infection provides substantial evidence of these kinds of epidemics. The resulting evidence suggests that several malaria species, either on their own or in concert with other pathogens, afflicted numerous Crusade campaigns in low-lying landscapes during the warmest periods of the summer and fall in the Levant. In turn, these malaria epidemics had a major impact on the history of the Crusades and the Crusader States.
Study on the Effect of Non-Uniform Ventilation on Energy and Plant Growth in a Greenhouse
Authors: Wang Ziteng , Bao Aiqun , Li Jialei , He Jinhong , Wang Kaiwen , Wang Xinke , Sun Xianpeng
Published: February 2025

The progress of local environmental regulation in protected agriculture is sluggish, particularly concerning the local air supply, which poses a significant obstacle to greenhouse energy-saving research. This study establishes a test platform for local air supply in winter and summer by integrating design principles from human settlements’ supply air bag models with crop growth requirements. By utilizing a supply air bag to direct fresh air from the air conditioning system to specific areas within the greenhouse, non-uniform ventilation is created. Research has revealed that varying air supply levels in summer exerts a significant influence on environmental conditions, crop growth, and energy efficiency. Noticeable temperature stratification and cooling effects were observed within the conditioning greenhouse. The growth of lettuce was moderately enhanced, with mid-level local air supply demonstrating superior cooling effectiveness and range compared to the other two levels. Optimal control efficacy and energy conservation were achieved through mid-level local air supply. During daytime experiments in winter, this system did not have a significant impact on the greenhouse environment; however, during nighttime experiments, it consistently provided warming effects to maintain temperatures above the minimum requirement for lettuce growth. Therefore, utilizing air supply bags at secure specific positions and implementing targeted air supply methods within cultivation areas in greenhouses can facilitate the creation of suitable local environments for crop growth while achieving energy savings. Future research in this field could focus on further refining air supply bag models to enhance energy efficiency and local environmental control effects.
Biotin Induces Inactive Chromosome X Reactivation and Corrects Physiopathological Alterations in Beta-Propeller-Protein-Associated Neurodegeneration
Authors: Reche-López Diana , Romero-González Ana , Álvarez-Córdoba Mónica , Suárez-Carrillo Alejandra , Cilleros-Holgado Paula , Piñero-Pérez Rocío , Gómez-Fernández David , Romero-Domínguez José Manuel , López-Cabrera Alejandra , González-Granero Susana , García-Verdugo José Manuel , Sánchez-Alcázar José A.
Published: February 2025

Neurodegeneration with brain iron accumulation (NBIA) involves a group of rare neurogenetic disorders often linked with iron overload in the basal nuclei of the brain presenting with spasticity, dystonia, muscle rigidity, neuropsychiatric symptoms, and retinal degeneration. Among NBIA subtypes, beta-propeller-protein-associated neurodegeneration (BPAN) is associated with mutations in the autophagy gene WDR45 (WD repeat domain 45). Previously, we demonstrated that WDR45 mutations in BPAN cellular models impaired autophagy, iron metabolism, and cell bioenergetics. In addition, antioxidant supplementation partially improved cell physiopathology; however, autophagy and cell bioenergetics remained affected. In this work, we explored the possibility of expressing the normal WDR45 allele present in the inactive chromosome X (Xi) of BPAN cells through treatment with epigenetic modulators. The aim of this study was to demonstrate whether biotin, an epigenetic nutrient, was able to restore the expression levels of WDR45 by a mechanism involving Xi reactivation and, consequently, correct BPAN defects. Our study demonstrated that biotin supplementation increases histone biotinylation and allows for the transcription of the WDR45 allele in Xi. Consequently, all physiopathological alterations in BPAN cells were notably corrected. The reactivation of Xi by epigenetic modulators can be a promising approach for the treatment of BPAN and other X-linked diseases.
Characterization of Tetrathionate Hydrolase from Acidothermophilic Sulfur-Oxidizing Archaeon Metallosphaera cuprina Ar-4
Authors: Wang Pei , Li Liang-Zhi , Liu Li-Jun , Qin Ya-Ling , Li Xiu-Tong , Yin Hua-Qun , Li De-Feng , Liu Shuang-Jiang , Jiang Cheng-Ying
Published: February 2025

Tetrathionate hydrolase (TTH) is a key enzyme for the oxidation of reduced inorganic sulfur compounds (RISCs) with the S4I pathway, which is distributed in autotrophic or facultative autotrophic sulfur-oxidizing bacteria and archaea. In this study, the enzyme TTHMc from the acidothermophilic archaeon Metallosphaera cuprina Ar-4T, encoded by mcup_1281 and belonging to the pyrroloquinoline quinone (PQQ) family, has been shown to possess tetrathionate hydrolysis activity. The molecular mass of the single subunit of TTHMc was determined to be 57 kDa. TTHMc is proved to be located in the cytoplasm, periplasmic space, and membrane, and the activity of them accounted for 72.3%, 24.0%, and 3.7% of the total activity. Optimal activity was observed at temperatures above 95 °C and pH 6.0, and the kinetic constants Km and Vmax were 0.35 mmol/L and 86.3 μmol/L, respectively. The presence of 0.01 mol/L Mg2+ enhances the activity of TTHMc, while 0.01 mol/L Ca2+ inhibits its activity. The hydrolysis of tetrathionate (TT) by TTHMc results in the production of thiosulfate, pentathionate, and hexathionate. This study represents the first description of TTH in the genus Metallosphaera, providing new theoretical insights into the study of sulfur-oxidizing proteins in acidothermophilic archaea.
Identification of Ovarian High-Grade Serous Carcinoma with Mitochondrial Gene Variation
Authors: Gonzalez Bosquet Jesus , Wagner Vincent , Polio Andrew , Linder Katharine E. , Bender David P. , Goodheart Michael J. , Schickling Brandon M.
Published: February 2025

Women diagnosed with advanced-stage ovarian cancer have a much worse survival rate than women diagnosed with early-stage ovarian cancer, but the early detection of this disease remains a clinical challenge. Some recent reports indicate that genetic variations could be useful for the early detection of several malignancies. In this pilot observational retrospective study, we aimed to assess whether mitochondrial DNA (mtDNA) variations could discriminate the most frequent type of ovarian cancer, high-grade serous carcinoma (HGSC), from normal tissue. We identified mtDNA variations from 20 whole-exome sequenced (WES) HGSC samples and 14 controls (normal tubes) using the best practices of genome sequencing. We built prediction models of cancer with these variants, with good performance measured by the area under the curve (AUC) of 0.88 (CI: 0.74–1.00). The variants included in the best model were correlated with gene expression to assess the potentially affected processes. These analyses were validated with the Cancer Genome Atlas (TCGA) dataset, (including over 420 samples), with a fair performance in AUC terms (0.63–0.71). In summary, we identified a set of mtDNA variations that can discriminate HGSC with good performance. Specifically, variations in the MT-CYB gene increased the risk for HGSC by over 30%, and MT-CYB expression was significantly decreased in HGSC patients. Robust models of ovarian cancer detection with mtDNA variations could be applied to liquid biopsy technology, like those which have been applied to other cancers, with a special focus on the early detection of this lethal disease.
Molecular Characterization of Trypanosoma cruzi from Triatomine Species in São Paulo State, an Area Free of Vector-Borne Chagas Disease
Authors: Monteiro Eliana Ferreira , da Silva Rubens Antonio , Marcili Arlei , Kirchgatter Karin
Published: February 2025

Chagas disease (ChD) is a neglected tropical disease caused by Trypanosoma cruzi, endemic in 21 countries across the Americas, with increasing cases globally. In São Paulo, Brazil, vector control has focused on Triatoma infestans, but secondary triatomine species continue to pose transmission risks. This study aimed to investigate the prevalence of T. cruzi in triatomine feces and characterize its genetic diversity using molecular techniques. Fecal samples were collected from 570 triatomines across 25 municipalities in São Paulo, followed by DNA extraction and PCR amplification targeting the mitochondrial cytochrome b gene and the V7V8 region of the 18S rRNA gene. The results revealed a low overall infection rate (3.2%). However, excluding the triatomines collected in palm trees, all of which were negative, we found mainly Panstrongylus megistus in residences and peridomiciles, showing the highest infection rate (65%) for T. cruzi, followed by Triatoma sordida and Rhodnius neglectus. Phylogenetic analysis confirmed that DTU TcI was the most prevalent genotype, consistent with previous findings in the region. This study highlights the importance of continued vector surveillance, as these secondary species are capable of maintaining T. cruzi transmission in both urban and rural environments, underscoring the ongoing risk of ChD resurgence in São Paulo.
Clinical Significance of Serum Omega-3 Fatty Acids on Endothelial Function in Patients with Coronary Artery Disease Under Statin Therapy
Authors: Yunoki Kei , Matsumi Hiroaki , Miyoshi Toru , Kubo Motoki , Hata Yoshiki , Yuasa Shinsuke
Published: February 2025

Vascular endothelial function plays an important role in the pathogenesis of atherosclerosis. The reduction in low-density lipoprotein cholesterol (LDL-C) is a key therapy for preventing coronary artery disease (CAD), but the role of omega-3 fatty acids as residual risk factors of CAD remains controversial. We studied the correlation between serum omega-3 fatty acid levels and endothelial function in patients with CAD receiving statin therapy and examined the effect of eicosapentaenoic acid (EPA) therapy on endothelial function. Methods: A total of 150 consecutive patients with CAD receiving statin therapy (LDL-C levels < 100 mg/dL) were enrolled. Serum omega-3 fatty acid levels were measured, and endothelial function was assessed by flow-mediated dilation (FMD) of the brachial artery. Subsequently, 65 patients with impaired FMD (<6%) and low EPA/arachidonic acid (AA) (<0.3) were administered EPA, and FMD was reassessed after 3 months. Results: A multivariate linear regression analysis demonstrated that serum docosahexaenoic acid (DHA) and EPA plus DHA levels were independent determinants of %FMD (β = 0.214 and 0.163, p < 0.05, respectively). The EPA therapy significantly improved %FMD (from 3.7 ± 1.0% to 4.1 ± 1.0%, p < 0.05) in patients with low EPA/AA, and especially in patients with low EPA/AA and high triglyceride levels (from 3.4 ± 1.0% to 4.0 ± 1.1%, p < 0.01). Conclusions: Serum omega-3 fatty acid levels were associated with endothelial dysfunction in patients with CAD receiving statin therapy. EPA therapy improves endothelial function in patients with low EPA/AA, especially those with low EPA/AA and high triglycerides.
The Use of Highly Porous 3-D-Printed Titanium Acetabular Cups in Revision Total Hip Arthroplasty: A Systematic Review and Meta-Analysis
Authors: Almeida Peter Richard , Macpherson Gavin J. , Simpson Philip , Gaston Paul , Clement Nick D.
Published: February 2025

Background/Objectives: As the rate of revision total hip arthroplasty (THA) has risen, there has been a drive to improve the technology in the manufacturing of the implants used. One recent advance has been 3-D printing of trabecular titanium implants to improve implant stability and osteointegration. The aim of this study was to review the clinical and radiological outcomes of these acetabular implants in revision THA. Methods: A manual search of the databases of the US National Library of medicine (PubMed/MEDLINE), Embase, and the Cochrane library was performed. The following keywords of “revision total hip arthroplasty” AND “acetabulum” AND “titanium” AND “porous” were utilised. Results: In total, 106 abstracts were identified during manual search of databases. In total, 11 studies reporting 4 different implants, with a total of 597 operated joints in 585 patients were included in this review. There were 349 (59.7%) female patients, and the mean age per study ranged from 56.0 to 78.4 years. The all-cause survival rate was 95.52% (95% CI: 92.37–97.96) at a mean follow up of 3.8 years (95% CI: 2.6–5.1). The 40 cases that required re-operation included 17 (2.8%) for infection, 14 (2.3%) instability, 2 (0.3%) for shell migration and 5 (0.8%) for aseptic loosening. The most commonly used patient reported outcome measure was the Harris Hip Score with the mean post-operative score of 86.7 (95% CI: 84.3–89.1). Conclusions: Trabecular titanium acetabular implants, when used in revision THA, resulted in excellent short- to mid-term outcomes with improved hip specific outcomes and a survivorship of 95.52% over the reported follow-up period. Future prospective studies evaluating long term outcomes are needed to make comparisons between more established solutions used in revision THA.