bluuebunny/crossref_metadata_2025 huggingface dataset:
Mitigating Water Loss in Arid Lands: Buffelgrass as a Potential Replacement for Alfalfa in Livestock Feed
Authors: Ghorbel Mouna , Alghamdi Ahmad , Brini Faical , Hawamda Abdalmenem I. M. , Mseddi Khalil
Published: January 2025

In the dry regions of the Arabian Peninsula, such as Saudi Arabia, rangeland degradation and the decline of pasture species have significantly reduced phytomass production. The scarcity of grazing pastures has led to an expansion of alfalfa-irrigated fields, exacerbating the risk of water shortages. This study is the first to systematically evaluate the adaptability and production potential of Cenchrus ciliaris accessions in the arid environment of Saudi Arabia. The objective of this study is to evaluate the potential of buffelgrass (C. ciliaris) as an alternative to alfalfa in irrigated crop systems for livestock production and to assess its suitability for reintroduction into degraded rangelands to enhance forage production. For this purpose, accessions of C. ciliaris were collected from five different sites in northern Saudi Arabia (Aja, Jameen, Zaitoun, Gaed, and Industrial zone) to select the most vigorous ecotypes to be introduced in the degraded lands and/or to be used as irrigated forage crop. This study shows that under full irrigation (2500-3000 mm year−1), alfalfa can produce 11.9 t ha−1 to 22.6 t ha−1 with a five-year average of 17 t ha−1. However, C. ciliaris can produce 9.3–18.4 t ha−1 with less water consumption than alfalfa (water supply is estimated at 400–500 mm year−1). The average was about 14.1 t ha−1. Our comparative study of these accessions showed that the Aja accession seemed to be the most salt tolerant, whereas the Jameen accession was the most well-developed, productive (18.4 t ha−1), and overgrazing resistant accession (940.3 g plant−1 after 3 cuts). Therefore, the Jameen accession is recommended for rangeland rehabilitation. In terms of chemical composition, C. ciliaris was less protein rich than alfalfa, but this can be compensated for by its high digestibility, estimated by neutral detergent fiber (NDF of 69.6%). This study identifies the Gaed and Jameen accessions as the most productive and grazing resistant, exhibiting drought and salt tolerance, making them suitable for use in irrigated systems to produce high green- and dry-matter yields or for reintroduction to rehabilitate degraded rangelands for rehabilitation purposes.
Optimizing Mobile Base Station Placement for Prolonging Wireless Sensor Network Lifetime in IoT Applications
Authors: Abbas Sahar S. A. , Dag Tamer , Gucluoglu Tansal
Published: January 2025

Wireless Sensor Networks (WSNs) connected to the Internet of Things (IoT) are increasingly employed in commercial and industrial applications to accomplish various tasks at a low cost. WSNs are essential for gathering diverse types of data within physical environments. A key design objective for WSNs is to balance energy consumption and increase the network’s operating lifetime. Recent studies have shown that mobile base stations (BSs) can significantly extend the lifetime of such networks, especially when their location is optimized using specific criteria. In this study, we propose an algorithm for selecting the optimal BS location in a large network. The algorithm computes a distance metric between sensor nodes (SNs) and potential BS locations on a virtual grid within the WSN. The selection process is repeated periodically to account for dead SNs, allowing the BS to relocate to a new optimal position based on the remaining active nodes after each iteration. Additionally, the inclusion of a relay node (RN) in large networks is explored to improve scalability. The impact of path loss within WSNs is also discussed. The proposed algorithms are applied to the well-known Stable Election Protocol (SEP). Simulation results demonstrate that, compared to other algorithms in the literature, the proposed approaches significantly enhance the lifetime of WSNs.
Automatic Restoration of Dunhuang Murals and Process Visualization Method Based on Deep Learning
Authors: Jia Miao , Hu Jie , Yang Zhongliang , Liu Weijie , Qi Jin , Chen Bin
Published: January 2025

Dunhuang murals are an important part of human cultural heritage with extraordinary literary and historical value. However, with the influences of time and the environment, many murals have suffered large defects and require complete reconstructions of their historical information, which is difficult. Moreover, the manual restoration of murals is complicated and slow. We attempted to use deep learning techniques to restore two types of damaged murals, including central regular defects and random irregular defects. First, we created a dataset of 26,240 Dunhuang murals for model training. Second, we built an image restoration model based on U-net to automatically restore murals. We show that mapping global information to defective areas can effectively restore murals with random irregular defects. Compared to manual restoration, the proposed model significantly reduces the time and cost of restoration work. In addition, we propose a method for constructing and preserving the contour maps of mural images and present the model’s training process. Using the deep learning model, professional restorers can provide visual feedback on the restoration process to directly compare the restoration patterns of different rounds. This method implements observations of the filling-in process in the defective areas. Finally, we built a Dunhuang mural restoration system for professional restorers to restore, select, and share murals on an online platform.
From Virtual to Reality: A Deep Reinforcement Learning Solution to Implement Autonomous Driving with 3D-LiDAR
Authors: Chen Yuhan , Lam Chan Tong , Pau Giovanni , Ke Wei
Published: January 2025

Autonomous driving technology faces significant challenges in processing complex environmental data and making real-time decisions. Traditional supervised learning approaches heavily rely on extensive data labeling, which incurs substantial costs. This study presents a complete implementation framework combining Deep Deterministic Policy Gradient (DDPG) reinforcement learning with 3D-LiDAR perception techniques for practical application in autonomous driving. DDPG meets the continuous action space requirements of driving, and the point cloud processing module uses a traditional algorithm combined with attention mechanisms to provide high awareness of the environment. The solution is first validated in a simulation environment and then successfully migrated to a real environment based on a 1/10-scale F1tenth experimental vehicle. The experimental results show that the method proposed in this study is able to complete the autonomous driving task in the real environment, providing a feasible technical path for the engineering application of advanced sensor technology combined with complex learning algorithms in the field of autonomous driving.
Inequitable Air Quality Improvement in China: Regional and Population-Level Disparities in PM Exposure (2013–2020)
Authors: Wu Changhao , Li Sujing , Hu Peng , Ma Tianjiao , Wang Xiaofan , Gao Lu , Zhu Kexu , Li Jingnan , Luo Yehong , Chen Wen
Published: January 2025

Over the past decade, China has enacted forward-looking environmental policies that have significantly reduced air pollution. However, while there appears to be a synergy between economic development and improvements in air quality, regional imbalances in development and disparities in health risks underscore systemic challenges in environmental governance. This study employed a population-weighted exposure index to evaluate disparities in PM2.5 exposure and its temporal and spatial trends, considering multidimensional socio-economic factors such as education, age, gender, occupation, and urban/rural backgrounds across 32 provinces and regions in China. The findings reveal that despite a notable decline in overall PM2.5 concentrations between 2013 and 2020, improvements in air quality are uneven across regions, with less developed areas bearing a disproportionate burden of emission reductions. Urban centers exhibit lower exposure levels due to resource and industrial advantages, whereas towns experience higher risks of air pollution. Socio-economic disparities are evident, with increased exposure observed in high-pollution industries and among groups with lower educational attainment. Women are more likely to be exposed than men, and both the elderly and children face higher risks. To address these challenges, policies should focus on the economic development of underdeveloped regions, balance environmental protection with growth, prioritize heavily polluted areas and vulnerable populations, and promote the adoption of clean energy to mitigate pollution inequality.
The Impact of AI Negative Feedback vs. Leader Negative Feedback on Employee Withdrawal Behavior: A Dual-Path Study of Emotion and Cognition
Authors: Li Xinyue , Huang Mingpeng , Liu Jialin , Fan Yifan , Cui Min
Published: January 2025

In the workplace, the application of artificial intelligence (AI) is becoming increasingly widespread, including in employee performance management where AI feedback is gaining importance. Some companies are also using AI to provide negative feedback to employees. Our research compares the impact of AI negative feedback and leader negative feedback on employees. In order to explore the impact of AI negative feedback on employees, we investigated how AI negative feedback impacts employee psychology and behavior and compared these effects to those of human leader negative feedback, within the framework of the feedback process model. To explore these differences, we conducted three experimental studies (n = 772) from two different regions (i.e., China and the United States). The results reveal that leader negative feedback induces greater feelings of shame in employees, leading to work withdrawal behaviors, compared to AI negative feedback. Conversely, AI negative feedback has a more detrimental effect on employees’ self-efficacy, leading to work withdrawal behaviors, compared to leader negative feedback. Furthermore, employees’ AI knowledge moderates the relationship between negative feedback sources and employee withdrawal behavior. Specifically, employees who perceive themselves as having limited AI knowledge are more likely to feel ashamed when receiving leader negative feedback than when receiving AI negative feedback. Conversely, employees who believe they are knowledgeable about AI are more likely to have their self-efficacy undermined by AI negative feedback than leader negative feedback. Our research contributes significantly to the literature on AI versus human feedback and the role of feedback sources, providing practical insights for organizations on optimizing AI usage in delivering negative feedback.
Long Non-Coding RNAs in Ovarian Cancer: Mechanistic Insights and Clinical Applications
Authors: Basu Sneha , Nadhan Revathy , Dhanasekaran Danny N.
Published: January 2025

Background/Objectives: Ovarian cancer is a leading cause of gynecological cancer mortality worldwide, often diagnosed at advanced stages due to vague symptoms and the lack of effective early detection methods. Long non-coding RNAs (lncRNAs) have emerged as key regulators in cancer biology, influencing cellular processes such as proliferation, apoptosis, and chemoresistance. This review explores the multifaceted roles of lncRNAs in ovarian cancer pathogenesis and their potential as biomarkers and therapeutic targets. Methods: A comprehensive literature review was conducted to analyze the structural and functional characteristics of lncRNAs and their contributions to ovarian cancer biology. This includes their regulatory mechanisms, interactions with signaling pathways, and implications for therapeutic resistance. Advanced bioinformatics and omics approaches were also evaluated for their potential in lncRNA research. Results: The review highlights the dual role of lncRNAs as oncogenes and tumor suppressors, modulating processes such as cell proliferation, invasion, and angiogenesis. Specific lncRNAs, such as HOTAIR and GAS5, demonstrate significant potential as diagnostic biomarkers and therapeutic targets. Emerging technologies, such as single-cell sequencing, provide valuable insights into the tumor microenvironment and the heterogeneity of lncRNA expression. Conclusions: LncRNAs hold transformative potential in advancing ovarian cancer diagnosis, prognosis, and treatment. Targeting lncRNAs or their associated pathways offers promising strategies to overcome therapy resistance and enhance personalized medicine. Continued research integrating omics and bioinformatics will be essential to unlock the full clinical potential of lncRNAs in ovarian cancer management.
Mating Frequencies of Eastern Honey Bee (Apis cerana) Queens Produced in Different Periods of Queen-Producing Season
Authors: Yuan Chunying , Tang Jiao , Ding Guiling , Huang Jiaxing
Published: January 2025

Polyandry is widespread among eusocial Hymenoptera, and the honey bee is a typical representative of this. It has been widely shown that polyandry can confer benefits to queens and their offspring, including enhanced productivity and fitness, stronger resistance to pathogens, and resilient division of labor, which promotes colony-level homeostasis. A previous study conducted in Australia demonstrated that 33.8% commercial Apis mellifera queens produced in autumn were not adequately mated. Beekeepers of Apis cerana in China also claimed that the queens reared in autumn are inferior to those reared in spring. To confirm whether the quality difference of queens produced in different periods is related to their mating frequency, we estimated the observed mating frequency (k) and the effective mating frequency (me) of A. cerana queens produced at the beginning and end of the queen production season in Liaoning Province. We found that all the queens were suitably mated and there was no significant difference in the mating frequency between early spring queens and late summer queens. In addition, our study indicated that the queens and their offspring workers owned a high level of heterozygosity and their inbreeding coefficients were universally low. Further studies on the queens’ performance and health are required to verify the statement that the queens reared in autumn are not as good as those reared in spring.
Osteosarcoma and Ewing Sarcoma of Bone: An Italian Mono-Institutional Epidemiological Study
Authors: Ferrari Cristina , Magagnoli Giovanna , Laranga Roberta , Bianchi Giuseppe , Carretta Elisa , Cesari Marilena , Scotlandi Katia , Baldini Nicola , Donati Davide Maria , Gambarotti Marco
Published: January 2025

Background/Objectives: Musculoskeletal neoplasms are rare and challenging diseases. Their geographic pattern varies worldwide, and no studies analyze their distribution in Italy. The aim of this study was to investigate a possible association between clinical variables to a period of diagnosis and geographic origin in Italy. Moreover, we wanted to describe the survival rate of bone osteosarcoma (OS) and Ewing sarcoma (EwS) from the Rizzoli Orthopaedic Institute (IOR) experience. Methods: We retrospectively reviewed 3098 diagnoses of high-grade bone OS and EwS made at the IOR in the past 40 years (1982–2021). Incidence, measures of associations, and survival rates have been analyzed. Results: The time of diagnosis and geographic origin were associated either with each other or with age and stage of tumor. Overall, the 10-year survival rate was 54% (95% CI 52–56) and 53% (95% CI 50–56) for bone OS and EwS, respectively. Multivariate analyses showed that adverse factors at diagnosis are age, location, stage, and time of diagnosis, in both cohorts. Conclusions: We confirmed known prognostic factors, and owing to the large cohort, we highlight their importance in clinical practice. No differences were observed in patient survival associated with different areas of Italy, although geographic origin was associated with most clinical variables analyzed, suggesting a further factor to investigate. Given the above-mentioned results, a Sarcoma Specialist Network with a recognized expertise is determinably in charge of the management of sarcomas.
Getting Global with It: The Rapid Growth in Higher Education and Disability-Focused Professional Literature
Authors: Dukes Lyman , Faggella-Luby Michael , Gelbar Nicholas , Mendoza Melissa E. , Charles Shea , Madaus Joseph
Published: January 2025

This systematic review examines the evolution of higher education and disability-focused professional literature from 2013 to 2022, conducted across 77 countries. The review highlights the geographical distribution of the literature, methodologies utilized, and disability types represented in the publications. Results indicate the majority of the literature is concentrated in North America and Europe, with a principal focus on non-intervention research. Additionally, the review examines the thematic focus of the research, with results highlighting an emphasis on student-level studies. The current state of global higher education and disability literature emphasizes the impact of international legislative documents, declarations, and mandates on postsecondary education trends for individuals with disabilities. Lastly, insight is provided regarding areas that merit exploration to further advance higher education for individuals with disabilities worldwide.
Parent-Reported Burn-Specific Health-Related Quality of Life in Children 5–7 Years After Burns: A Multicenter Cross-Sectional Study
Authors: Heijblom Marina C. , Dijkshoorn J. Nicolaas , Nieuwenhuis Marianne K. , Pijpe Anouk , van der Vlies Cornelis H. , van Baar Margriet E. , Spronk Inge
Published: January 2025

Surviving a burn can dramatically alter a child’s life, yet few studies examined long-term health-related quality of life (HRQL). This study assessed HRQL 5–7 years post-burn in children with mild/intermediate and severe burns and identified associated factors. Parents of children (5− < 18 years) who were hospitalized or had burn surgery between 08/2011 and 09/2012 completed the Burn Outcomes Questionnaire (BOQ). Outcomes were compared between two subgroups: children with mild/intermediate burns (<10% total body surface area (TBSA) burned) versus severe burns ((1) aged <10 years old at the time of injury with >10% (TBSA) burned; (2) aged ≥10 years with >20% TBSA burned; or (3) >5% full-thickness burns). A total of 102 children were included (mean age at survey: 8.4 (3.0) years; mean former TBSA: 7.1%). At a mean of 5.7 years post-burn, many parents rated their child’s health as excellent (46.1%) or very good (35.3%), with few reporting issues with ‘pain’ (2.3%), ‘physical function and sports’ (1.6%), and ‘upper extremity function’ (0.9%). Parents of children with severe burns indicated significantly more problems with ‘appearance’ (89.2% versus 71.5%; p = 0.014) and ‘parental concern’ (94.1% versus 84.8%; p = 0.021). Upper limb burns, facial burns, burn size, length of hospital stay, full-thickness burns, and the number of surgeries predicted poorer outcomes. In general, these findings indicate positive long-term HRQL, though especially children with full-thickness burns and/or surgical interventions face a higher risk of reduced HRQL. The results can be used to inform children and their families about the long-term implications. Furthermore, healthcare professionals can use these insights to identify children at higher risk of poorer long-term HRQL.
Do People with Intellectual Disabilities Have a Better Quality of Life If They Are Physically Active?
Authors: Ocete Carmen , Rocuant-Urzúa Adolfo , Fernández-Rivas María , Franco Evelia
Published: January 2025

In the context of the practice of physical sports activities (PSA), people with intellectual disabilities (PID) have up to a 62% lower possibility of responding to internationally agreed-upon physical activity requirements, showing a higher risk of presenting serious health problems. This study aimed to analyze the levels of perception towards the latent construct of quality of life that a PID who practices PSA would have with respect to those PIDs who do not practice PSA. The sample consisted of 371 PIDs, of whom 278 practiced PSA and 93 did not practice PSA. The instrument used for data collection was the INICO-FEAPS scale. Methodologically, 12 binary logistic regression models were fitted. The results identify greater possibilities of perception by PIDs who perform DFA at the level of self-determination (4.88 OR), rights (5.0 OR), social inclusion (2.06 OR), personal development (2.80 OR), interpersonal relationship (3.19 OR), material well-being (4.41 OR) and quality of life (3.97 OR). Furthermore, when grouping the dimensions by independence (3.67 OR), social (4.34 OR) and well-being (3.91 OR), the odds were favourable toward those PIDs performing PSA. In conclusion, PIDs who perform PSA may present greater possibilities of having the quality of life construct.
Reinforcement Neural Network-Based Grid-Integrated PV Control and Battery Management System
Authors: Thajeel Salah Mahdi , Atilla Doğu Çağdaş
Published: January 2025

A reinforcement neural network-based grid-integrated photovoltaic (PV) system with a battery management system (BMS) was developed to enhance the efficiency and reliability of renewable energy systems. In such a setup, the PV system generates electricity, which can be used immediately, stored in batteries, or fed into the grid. The challenge lies in dynamically optimizing the power flow between these components to minimize energy costs, maximize the use of renewable energy, and maintain grid stability. Reinforcement learning (RL) combined with NNs offers a powerful solution by enabling the system to learn and adapt its energy management strategy in real time. By using the proposed techniques, the convergence time was decreased with lower complexity compared with existing approaches. The RL agent interacts with the environment (i.e., the grid, PV system, and battery), continuously improving its decisions regarding when to store energy, draw from the battery, and supply power to the grid. This intelligent control approach ensures optimal performance, contributing to a more sustainable and resilient energy system.
Improvement Efficiency and Emission Reduction in Used Cars for Developing Regions Using Gasoline–Bioethanol Blends
Authors: Zacarías Alejandro , Grijalva Mario R. , Rubio José de Jesús , Romage Guerlin , Mena Violeta Y. , Hernández Raúl , Carvajal Ignacio , Flores Alicia , Guarneros Orlando , Rodríguez Brayan A.
Published: January 2025

Energy demand is continuously increasing owing to rapid technological developments and population growth. Additionally, it has been shown that the consumption of fossil fuels contributes to the emission of gases that increase the greenhouse effect. An alternative for addressing the problems of greenhouse gas emissions and dependence on oil is to replace fossil fuels with biofuels. This article presents the combustion gas emissions and performance assessment of a used car using gasoline–bioethanol blends at concentrations free of mechanical risk to contribute information for energy transition. The tests were carried out using the mixtures E0, E5, and E10 at speeds of 1500, 2500, and 4500 rpm for the evaluation of emissions. Meanwhile, for the performance assessment, the speed was varied from 2500 rpm to 8000 rpm. The vehicle was analyzed under functional operating conditions, and no mechanical modifications were made to the alcohol mixtures. Testing was performed using a gas analyzer with non-dispersive infrared (NDIR) electroluminescence and electrochemical cells to measure the emissions, and a computerized chassis dynamometer was used to measure the torque and speed. From the results shown here, it can be concluded that the use of bioethanol at low concentrations in the range without mechanical risk, such as E0, E5, and E10, can be utilized in used cars and in functional operating conditions, improving the thermal efficiency of the engine by 2% and 1.2% with the E5 and E10 mixtures. The specific consumption increased up to 3% with the E10 mixture owing to the lower energy capacity of the mixture. Meanwhile, HC polluting emissions decreased by up to 8.44%, 20%, and 100 at speeds of 1500 rpm, 2500 rpm, and 4500 rpm, respectively. The nitrogen oxide emissions decreased by up to 5% for mixtures E5 and E10. The results presented in this article may be useful for decision making in the use of biofuels in automobiles used in the energy transition. In addition, our study can be taken as a reference for studies on cars that are more than 20 years old.
Production and Storage of Hydrogen from Biomass and Other Sources: Technologies and Policies
Authors: Giakoumakis Georgios , Sidiras Dimitrios
Published: January 2025

Hydrogen has emerged as a critical energy carrier for achieving global decarbonization and supporting a sustainable energy future. This review explores key advancements in hydrogen production technologies, including electrolysis, biomass gasification, and thermochemical processes, alongside innovations in storage methods like metal hydrides and liquid organic hydrogen carriers (LOHCs). Despite its promise, challenges such as high production costs, scalability issues, and safety concerns persist. Biomass gasification stands out for its dual benefits of waste management and carbon neutrality yet hurdles like feedstock variability and energy efficiency need further attention. This review also identifies opportunities for improvement, such as developing cost-effective catalysts and hybrid storage systems, while emphasizing future research on improving storage efficiency and tackling production bottlenecks. By addressing these challenges, hydrogen can play a central role in the global transition to cleaner energy systems.
New Terpenoids and Lignans from Phyllanthus acidus Fruits with Antioxidant Activity
Authors: Xin Ying , Xu Jia , Li Na , Yang Li-Ying , Zhu Hong-Tao , Zhang Ying-Jun
Published: January 2025

The fruits of Phyllanthus acidus, rich in various secondary metabolites and possessing significant antioxidant activity, have been consumed widely by many Southeast Asian people, including the Thai, Vietnamese, Burmese, Laotians, and Cambodians. An extensive investigation of the secondary metabolites of the fruits resulted in our obtaining 17 compounds, including four new compounds (1–4). The absolute configurations of 1, 3, and 4 were determined by comparing their experimental electronic circular dichroism (ECD) spectra with both reference data and computed ECD profiles. At a concentration of 40μM, terpenoids (1 and 5–9) showed no cytotoxic activity against five strains of human tumor cells and one of normal cells. Notably, the known lignan 13 and phenylpropanoid 15 showed obvious ABTS+ radical scavenging activities with IC50 values of 203.7 and 232.9 μM, which have a comparable impact to the positive control, Trolox (IC50 = 176.5 ± 2.0 μM). The results indicated that P. acidus fruits could be a promising sources of antioxidant food supplement.
Numerical and Experimental Investigation on Combustion Characteristics and Pollutant Emissions of Pulverized Coal and Biomass Co-Firing in a 500 kW Burner
Authors: Chaiyo Rachapat , Wongwiwat Jakrapop , Sukjai Yanin
Published: January 2025

The global shift towards clean energy has been driven by the need to address global warming, which is exacerbated by economic expansion and rising energy demands. Traditional fossil fuels, particularly coal, emit more pollutants than other fuels. Recent studies have shown significant efforts in using biomass as a replacement or co-firing it with coal. This is because biomass, being a solid fuel, has a combustion mechanism similar to that of coal. This study investigates the co-firing behavior of pulverized coal and biomass in a semi-combustion furnace with a 500 kW heat input, comprising a pre-chamber and a main combustion chamber. Using computational fluid dynamics (CFD) simulations with ANSYS Fluent 2020 R1, the study employs species transport models to predict combustion reactions and discrete phase models (DPM) to track fuel particle movement. These models are validated against experimental data to ensure accurate predictions of mixed fuel combustion. The research examines various biomass-to-coal ratios (0%, 25%, 50%, 75%, and 100%) to understand their impact on combustion temperature and emissions. Results show that increasing the biomass ratio reduces combustion temperature due to biomass’s lower heating value, higher moisture content, and larger particle size, leading to less efficient combustion and higher CO emissions. However, this temperature reduction also correlates with lower NOx emissions. Additionally, biomass’s lower nitrogen and sulfur content contributes to further reductions in NOx and SO2 emissions. Despite biomass having higher volatile matter content, which results in quicker combustion, coal demonstrates a higher carbon burnout rate, indicating more efficient carbon combustion. The study concludes that while pure coal combustion efficiency is higher at 87.7%, pure biomass achieves only 77.3% efficiency. Nonetheless, increasing biomass proportions positively impacts emissions, reducing harmful NOx and SO2 levels.
Prevention and Mitigation of Frailty Syndrome in Institutionalised Older Adults Through Physical Activity: A Systematic Review
Authors: Martínez-Montas Guillermo Francisco , Sanz-Matesanz Manuel , Benítez-Sillero Juan de Dios , Martínez-Aranda Luis Manuel
Published: January 2025

Background/Objectives: Frailty syndrome significantly impacts the health and quality of life of institutionalised older adults, increasing the risk of adverse outcomes such as disability and mortality. This systematic review aimed to evaluate the effectiveness of physical activity interventions in preventing and mitigating frailty syndrome among institutionalised older adults and to identify key intervention characteristics influencing their effectiveness. Methods: A systematic search following PRISMA guidelines was conducted in the Web of Science, PubMed, and Cochrane databases to identify randomised controlled trials published from 2001 to June 2024. Studies involving institutionalised adults aged 60 or older, assessing the impact of physical activity interventions on frailty using validated measures, were included. A narrative synthesis approach was employed to analyse the findings due to the heterogeneity of interventions and settings. Results: Twelve randomised controlled trials comprising 1223 participants were included. Multicomponent exercise programmes—combining resistance exercises, balance, and aerobic training—consistently improved frailty indicators, including muscle strength, gait speed, and balance, among others parameters. Frailty reversal occurred in 36% of participants, with interventions showing a reduction in frailty criteria and improved functional autonomy. Programmes integrating physical activity with cognitive or nutritional components demonstrated high efficacy. The control groups showed minimal improvement, highlighting the unique impact of tailored interventions. Despite variability in intervention design, frailty was consistently shown to be reversible in pre-frail and frail individuals, where the benefits were evident including for individuals over 85 years old. Conclusions: Physical activity interventions, particularly multicomponent exercise programmes, are effective in reducing frailty and improving health outcomes in institutionalised older adults. Future research should focus on optimising intervention characteristics and exploring the long-term sustainability of benefits in diverse populations. These findings reinforce the importance of exercise as a cornerstone in frailty management.
Risk Factors for Impaired Glucose Metabolism in Transfusion-Dependent Patients with β-Thalassemia: A Single-Center Retrospective Observational Study
Authors: Venou Theodora Maria , Kyriakidis Filippos , Barmpageorgopoulou Fani , Theodoridou Stamatia , Vyzantiadis Athanasios , Klonizakis Philippos , Gavriilaki Eleni , Vlachaki Efthymia
Published: January 2025

Background/Objectives: B-thalassemia is a genetic disorder that leads to reduced or absent β-globin chains, often resulting in endocrine abnormalities due to iron overload, chronic anemia, and hypoxia. This study investigates the prevalence and risk factors for glucose metabolism disturbances in transfusion-dependent β-thalassemia (TDT) patients, focusing on pancreatic iron overload and its association with other iron biomarkers. Methods: We studied two groups of TDT patients (2018–2022) at Hippokration General Hospital: Group 1 (no glucose metabolism impairment, n = 46) and Group 2 (with impaired glucose tolerance or diabetes mellitus, n = 18). Patients were assessed for factors contributing to glucose disturbances, and laboratory data were analyzed. Type 2 diabetes was diagnosed per American Diabetes Association criteria, and impaired glucose tolerance was defined by OGTT results. A multivariate logistic regression identified potential independent risk factors. In a subset of patients on iron chelation therapy, we examined the relationship between pancreatic, liver, and heart iron overload (T2* MRI) and glucose/ferritin levels. Results: Age and elevated serum GGT levels were significantly associated with impaired glucose metabolism (p = 0.02). Beta-blocker use was correlated with glucose disturbances (p = 0.02), but multivariate analysis revealed no significant independent risk factors. A significant relationship was found between pancreatic and heart iron overload (r = 0.45, p = 0.04). Conclusions: Elevated GGT levels suggest that oxidative stress and liver dysfunction play a key role in glucose metabolism disturbances. Pancreatic MRI T2* may help predict heart iron overload. Further research is needed to identify reliable biomarkers for glucose regulation in TDT.
Composition of Anthocyanins, Specific Sugars, and Organic Acids in Wild Edible Aromatic and Medicinal Vegetables
Authors: Yildirim Ertan , Turan Metin , Ekinci Melek , Ercisli Sezai , Ozturk Halil Ibrahim , Aydin Murat , Ilhan Emre , Vicas Simona Ioana , Iancu Carmen Violeta , Gitea Daniela , Domuța Cristian Gabriel , Borza Ioana Maria , Gitea Manuel Alexandru
Published: January 2025

This study investigates the bioactive compound profiles of 12 wild edible plant species from the Amaranthaceae, Apiaceae, Asteraceae, Brassicaceae, Caryophyllaceae, Lamiaceae, Malvaceae, Polygonaceae, and Urticaceae families, consumed as aromatic and medicinal vegetables by local communities and forming part of the natural vegetation of Mount Ergan. The plants were collected and analyzed for their anthocyanin, organic acid, and sugar contents, using advanced liquid chromatography techniques. Statistically significant differences were observed between species for each compound analyzed, highlighting their diverse phytochemical profiles. Malva neglecta, Brassica nigra, and Taraxacum phaleratum exhibited the highest anthocyanin contents, suggesting their strong potential as natural antioxidant sources. Organic acid levels were notably elevated in Polygonum cognatum, T. phaleratum, Urtica dioica, and M. neglecta, which positions these species as promising candidates for use as natural acid regulators in food and pharmaceutical formulations. In terms of sugar content, Chenopodium album, Mentha longifolia, and T. phaleratum had the lowest levels, while M. neglecta, Cirsium arvense, P. cognatum, and Tragopogon buphthalmoides showed significantly higher concentrations, indicating potential applications in the development of natural sweeteners. This study’s findings provide valuable insights into the phytochemical diversity of these wild plant species, emphasizing their potential utility in health nutrition, pharmaceuticals, and cosmetics. This study emphasizes the significance of investigating underexploited plant species for their bioactive chemicals and illustrates their potential contribution to the development of sustainable, natural product-based solutions for diverse industrial uses.
Bridging Barriers to Evidence-Based Practice and Knowledge Utilisation: Leadership Strategies in Acute Care Nursing
Authors: Ominyi Jude , Alabi Adewale
Published: January 2025

The implementation of evidence-based practice (EBP) is crucial for improving patient outcomes and healthcare delivery, yet it faces significant challenges in acute care settings due to organisational barriers, resource limitations, and leadership complexities. This study explores how ward managers (WMs) facilitate knowledge utilisation (KU) and promote EBP adoption in these environments. A longitudinal qualitative case study was conducted over eight months in two acute care hospitals in the East Midlands, England. Data were collected through semi-structured interviews with 23 WMs, nonparticipant observations, and document analysis. Thematic analysis was used to identify key findings. Six themes emerged: navigating leadership challenges, overcoming organisational and resource barriers, sustaining EBP through learning networks, integrating technology, tailoring EBP to patient-centred care, and providing emotional support for staff. Hybrid leadership strategies, combining directive and collaborative approaches, were critical in addressing barriers, fostering engagement, and embedding EBP into workflows. Mentorship and resource management also played pivotal roles. The study highlights the need for tailored leadership strategies, innovative resource utilisation, and sustainable learning networks to overcome systemic challenges and promote EBP. These findings provide actionable insights for fostering evidence-informed care environments in resource-constrained acute care settings.
Dimensional Accuracy Assessment of Medical Anatomical Models Produced by Hospital-Based Fused Deposition Modeling 3D Printer
Authors: Wendo Kevin , Behets Catherine , Barbier Olivier , Herman Benoit , Schubert Thomas , Raucent Benoit , Olszewski Raphael
Published: January 2025

As 3D printing technology expands rapidly in medical disciplines, the accuracy evaluation of 3D-printed medical models is required. However, no established guidelines to assess the dimensional error of anatomical models exist. This study aims to evaluate the dimensional accuracy of medical models 3D-printed using a hospital-based Fused Deposition Modeling (FDM) 3D printer. Two dissected cadaveric right hands were marked with Titanium Kirshner wires to identify landmarks on the heads and bases of all metacarpals and proximal and middle phalanges. Both hands were scanned using a Cone Beam Computed Tomography scanner. Image post-processing and segmentation were performed on 3D Slicer software. Hand models were 3D-printed using a professional hospital-based FDM 3D printer. Manual measurements of all landmarks marked on both pairs of cadaveric and 3D-printed hands were taken by two independent observers using a digital caliper. The Mean Absolute Difference (MAD) and Mean Dimensional Error (MDE) were calculated. Our results showed an acceptable level of dimensional accuracy. The overall study’s MAD was 0.32 mm (±0.34), and its MDE was 1.03% (±0.83). These values fall within the recommended range of errors. A high level of dimensional accuracy of the 3D-printed anatomical models was achieved, suggesting their reliability and suitability for medical applications.
Threshold Effects of Economic-Policy Uncertainty on Food Security in Nigeria
Authors: Aye Goodness C. , Kotur Lydia N. , Ater Peter I.
Published: January 2025

The study investigated the threshold effects of economic-policy uncertainty on food security in Nigeria, covering the period from 1970 to 2021. Summary statistics and unit root tests were employed for preliminary analysis, while the threshold regression model was used to realize the key objective of the study. The results revealed that adult population (ADULTPOP), environmental degradation (ENVT), exchange rate uncertainty (EXRU), financial deepening (FINDEEP), food security (FS), government expenditure in agriculture uncertainty (GEAU), global economic uncertainty (GEU), inflation (INF), and interest rate uncertainty (INRU) showed positive mean, maximum, and minimum values over the study period. Most variables exhibited low volatility, except for inflation (SD = 15.619) and interest rate uncertainty (SD = 8.435), which had relatively higher volatility. ADF and PP unit root tests indicated that ADULTPOP, FINDEEP, and FS had unit roots in levels, but became stationary after first differencing (integrated of order one). ENVT, EXRU, GEAU, GEU, INF, and INRU were stationary in level, indicating they were integrated of order zero. The result showed a threshold value of 0.077 for global economic uncertainty (GEU). Above this threshold, exchange rate uncertainty (EXRU) had a statistically significant effect on food security (p = 0.031). Non-threshold variables such as adult population (p = 0.000) and environmental degradation (p = 0.000) also had significant effects on food security. The study thus provided evidence of threshold effects of economic-policy uncertainty on food security. The study recommends that policymakers incorporate threshold values in policy implementation to mitigate risks linked to high economic-policy uncertainty. The Government is also advised to establish strategies for stabilizing exchange rates or alleviating their harmful effects on food supply, which may be crucial for achieving food security.
Identification and Optimization of Ecological Restoration Areas Coupled with Ecosystem Service Supply and Demand in the Northern Shaanxi Loess Plateau
Authors: Sun Yongxiu , Ren Yue , Liu Shiliang , Chen Wenxin , Xu Yingjie , Xu Jingzhi , Dang Panpan , Niu Zhirui , Xu Xiaoling , Cheng Fangyan
Published: January 2025

Ecological restoration is crucial for maintaining national ecological security. Scientific and reasonable identification of key ecological restoration areas is a difficult problem facing the current national spatial planning. This study evaluated ecosystem service (ES) supply, demand, and their spatio-temporal characteristics in the Northern Shaanxi Loess Plateau (NSLP). A coupling coordination degree (CCD) model was applied to study the interactive relationship between ES supply and demand. The improved ant colony optimization (ACO) model was applied to explore the priority areas of ecological restoration. The results showed that ES supply, demand, and balance had significant spatial differences. Higher ES supply areas were distributed in the south, and higher demand areas were located in the central and northern parts. The balance of ecosystem service exhibited a similar increasing trend to the supply of ES from north to south. Temporally, the supply, demand and balance of ES showed distinct time-varying characteristics across different types of services. Total ES supply decreased from 2000 to 2020, while total ES demand and balance first declined and then rose. Moreover, total ES balance showed a significant decreasing trend in 21.22% of regions in the NSLP. Furthermore, the CCD results showed that about 82% of the regions had a disorder status in 2000, while about 90% of the regions had a coordination status from 2010 to 2020. This also implied that the coupling coordination degree in most regions gradually improved from 2000 to 2020. Finally, four ES enhancement priorities were further identified from the perspectives of enhancing ES supply capacity. Ecological restoration prioritization of different ES enhancements showed significant spatial variations, with the top 15% of the ecological restoration area located in the east–central and west–central regions. The top 5% of total ecosystem services can bring 2,470,400 yuan in ecological benefits. This research can offer scientific and theoretical guidance as well as a reference for decision-makers to undertake ecological restoration efforts.
The Influence of Rural Land Transfer on Rural Households’ Income: A Case Study in Anhui Province, China
Authors: Xu Yuting , Lin Yitian , Yang Hong , Xu Guoliang , Cheng Chao
Published: January 2025

This paper looks into the impact of China’s new rural land reform, the three rights separation policy (TRSP), on Chinese farmers’ income. Based on data collected from 360 rural households in Anhui Province, China, 2021, this paper constructed the influence pathways of the TRSP on household income and estimated the effects along different pathways using the structural equation model (SEM) model. It showed that through expanding the planting scale and promoting resource-use efficiency, the new land tenure system can indirectly increase transfer-in household income. However, the TRSP has a significant negative direct effect on transfer-out households’ income, and only a slight impact on transferring rural labor to other industries or relaxing the liquidity constraint. In short, the TRSP’s effect on income gains is more prominent in transfer-in households than transfer-out ones, which in the long run would lead to an increased income gap, more so if transfer-out households lack easy access to non-farm employment. Our findings suggest that public authorities should respect farmers’ autonomy in land transfer decisions and pay special attention to labor transfer in poverty alleviation. Meanwhile, widening income disparities among different groups should be heeded while implementing local governments’ service roles.
Capsaicin (But Not Other Vanillins) Enhances Estrogen Binding to Its Receptor: Implications for Power Sports and Cancers
Authors: Pietrowicz Maja , Root-Bernstein Robert
Published: January 2025

Capsaicin (CAP), the pain-inducing compound in chili peppers, exerts its effects mainly through the transient receptor potential vanilloid channel 1 (TRPV1), which mediates pain perception and some metabolic functions. CAP has also been demonstrated to improve performance in power sports (but not endurance sports) and does so mainly for females. CAP may also have anti-cancer effects. Many mechanisms have been explored to explain these phenomena, particularly the effects of TRPV1 activation for calcium influx, glucose transporter (GLUT) upregulation and inhibition of insulin (INS) production, but two important ones seem to have been missed. We demonstrate here that CAP binds to both INS and to the estrogen receptor (ESR1), enhancing estradiol binding. Other TRPV1 agonists, such as vanillin, vanillic acid and acetaminophen, have either no effect or inhibit estrogen binding. Notably, TRPV1, ESR1 and INS share significant regions of homology that may aid in identifying the CAP-binding site on the ESR1. Because activation of the estrogen receptor upregulates GLUT expression and thereby glucose transport, we propose that the observed enhancement of performance in power sports, particularly among women, may result, in part, from CAP enhancement of ESR1 function and prevent INS degradation. Chronic exposure to CAP, however, may result in downregulation and internalization of ESR1, as well as TRPV1 stimulation of glucagon-like peptide 1 (GLP-1) expression, both of which downregulate GLUT expression, thereby starving cancer cells of glucose. The binding of capsaicin to the ESR1 may also enhance ESR1 antagonists such as tamoxifen, benefiting some cancer patients.