bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Proprioceptive Training on Technical Soccer Skills in Youth Professional Soccer
Authors: Eraslan Meriç , Gürkan Alper Cenk , Aydın Serhat , Türkmen Mustafa , Çelik Seyfullah , Söyler Mehmet , Altuğ Tolga 
Published: December 2024

Abstract

Objectives
The purpose of this study is to analyze the effects of proprioceptive training and exercises on the physical-fitness and soccer-specific technical skills of young professional soccer players.
Methods
Twenty-eight male professional soccer players from the Türkiye Football Federation's 3rd League voluntarily participated, with an average age of 20.46 ± 1.60 years, average height of 182.89 ± 5.01 cm, and average body weight of 73.34 ± 3.10 kg. The participants' body compositions were assessed using the Inbody270 (California, USA) bioelectrical impedance analyzer, and their agility and maximal VO2 cardiorespiratory fitness were measured using the ChronoJump smartspeed mat (INEFC Barcelona-UB). Soccer-specific technical skill assessments were also conducted. Data were analyzed using the SPSS 22 statistical software. Paired sample t-tests were employed for pairwise comparisons. Effect size and percentage changes were provided to highlight the practical significance of the differences between pre-test and post-test results. Cohen's d test was used to determine the effect size, while repeated measures two-way ANOVA was applied to assess the interaction effects (group x time). Eta squared (η2) values were reported to express the magnitude of effect size. A 95% confidence level and a significance level of p = 0.05 were adopted for interpretation.
Results
The proprioceptive training was found to have statistically significant and favorable effects on the percentage of body fat (p < 0.05; η2 = 0.006) and soccer-specific technical skills, including free juggling (p < 0.05; η2 = 0.302), alternating foot juggling (p < 0.05; η2 = 0.271), right foot juggling (p < 0.05; η2 = 0.250), and shooting performance (p < 0.05; η2 = 0.513).
Conclusion
In conclusion, the 12-week proprioceptive training, when added to soccer practice, plays a significant role in improving soccer-specific technical skills. It also contributes to the reduction of body fat percentage.
Healthy Lifestyle including Sleep Patterns, Genetic Risk, and Risk of Cardiometabolic Multimorbidity
Authors: Liu Siqi , Huang Ninghao , Li Yueying , Huang Tao 
Published: December 2024

Abstract

Background: Emerging evidence suggests a link between sleep patterns, healthy lifestyles, and the risk of cardiometabolic outcomes. However, few studies have explored the association between lifestyles that incorporate healthy sleep patterns and genetic factors with the risk of cardiometabolic multimorbidity (CMM).
Objective/Aim: To prospectively investigate the associations between a healthy lifestyle including sleep patterns, genetic risk, and the risk of cardiometabolic multimorbidity and cardiometabolic diseases.
Methods: A total of 382,448 UK Biobank participants were included in this study. A modified healthy lifestyle score (mHLS) was defined by healthy sleep patterns, diet, physical activity, smoking, alcohol consumption, and Body Mass Index (BMI). Weighted genetic risk score (GRS) for cardiometabolic outcomes was calculated. Cox proportional hazards models were used to estimate the associations between a healthy lifestyle and cardiometabolic outcomes.
Results: During a median follow-up of 8.7 years, 13,388 participants developed CMM, and 54,381 participants developed at least one of those cardiometabolic diseases (CMDs) that contribute to CMM. After adjusting for major confounders, the modified healthy lifestyle score was significantly associated with lower risks of CMM and CMDs, with hazard ratios (HRs) of 0.81 (95% confidence interval [CI]: 0.74-0.90) and 0.84 (95% CI: 0.79-0.88) for the highest versus lowest mHLS groups, respectively. The association between mHLS and CMDs was stronger in women and individuals aged 65 and above (p = 0.006 and p = 0.04, respectively). Additionally, there was an additive interaction between mHLS and GRS on CMDs, with a relative excess risk due to interaction (RERI) of 0.057 (95% CI: 0.007, 0.106).
Conclusion: Our results show that adherence to a healthy lifestyle, including healthy sleep patterns, is associated with lower risks of CMM and CMDs. Women and individuals over 65 may benefit more. A healthy lifestyle can also modify the genetic predisposition to CMDs.
Prognostic Value of Chemotherapy Response Score in Advanced Ovarian Cancer: A Single-Center Analysis
Authors: Sozen Hamdullah , Minareci Yagmur , Toyran Atahan , Yalçın İbrahim , Önder Semen , Bayram Aysel , Bağbudar Sidar , Tıkız Müge Ateş , Saip Pınar Mualla , Topuz Samet , Salihoğlu Yavuz 
Published: December 2024

Abstract

Purpose
Chemotherapy response score (CRS) is a histopathological tool to assess tumor response in patients with high-grade serous ovarian carcinoma (HGSC) undergoing neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS). This study aimed to evaluate the prognostic significance of omental and adnexal CRS for predicting overall survival (OS) and disease-free survival (DFS).
Methods
Data from 79 patients with advanced HGSC treated with NACT followed by interval debulking surgery (IDS) between 2010 and 2017 were analyzed. CRS was applied to both omental and adnexal samples, and its association with OS and DFS was evaluated. Statistical analyses were performed using univariate and multivariate methods, with a significance level of p < 0.05.
Results
Omental CRS 1–2 was identified as an independent predictor of decreased OS (HR 2.69; 95% CI 1.26–5.76, p = 0.010), whereas adnexal CRS 1–2 did not significantly impact DFS or OS in multivariate analysis. Patients with omental CRS 3 had superior outcomes, with a 5-year OS rate of 72.0% compared to 30.8% in the CRS 1–2 group. The median DFS for the CRS 1–2 group was 19 months, while it was 35 months for the CRS 3 group (p = 0.005).
Conclusion
Omental CRS is a strong independent predictor of OS in advanced HGSC, while adnexal CRS demonstrated limited prognostic value. CRS should be considered in clinical practice for guiding treatment decisions, and further research is warranted to refine its use with molecular and radiologic markers.
The burden of migraine and tension-type headache in Asia from 1990 to 2021
Authors: Zhao Yingzhu , Zhou Hong , Yi Yujie , Pang Qian , Wang Jie 
Published: December 2024

Abstract

Background
In recent years, headache diseases have spread throughout the world, causing great suffering and even severe disability to patients, and increasing the burden on health care systems. However, studies of specific regions are rare. The purpose of our study is to comprehensively analyze the current situation and trends of headache diseases in Asia between 1990 and 2021, to provide details of headache diseases in Asia, and to provide scientific data to support health development strategies.
Methods
Data from the Global Burden of Disease (GBD) 2021 database were used to calculate the incidence, prevalence and disability-adjusted life years (DALYs) of headache disorders in Asia from 1990 to 2021. Differences between years, ages, sexes and countries were also assessed, and we evaluated the correlation between epidemiological and sociodemographic indices (SDIs).
Result
In 2021, there were approximately 11,584,32824 cases of migraine in Asia. Meanwhile, there are now 2011612877 cases associated with tension-type headache (TTH) in Asia. Specifically, the age-standardized DALYs (ASDR) [607 cases per 100,000 people (95% UI: 70-1363)] for migraine were highest in East Asia, and the ASDR [422 cases per 100,000 people (95% UI: 86-938)] was lowest in high-income countries of the Asia-Pacific region. ASDR [67 cases per 100,000 people (95% UI: 18-236)] was highest for TTH in Central Asia and lowest for ASDR [43 cases per 100,000 people (95% UI: 13-141)] in East Asia. In addition, women are the key population for migraine and TTH prevalence. In Asia, there were negative and positive correlations between migraine and TTH and SDI, respectively.
Conclusions
Headache disorders pose a serious threat to the quality of life and safety of patients in Asia, increasing the burden on society, and this impact will continue to grow. Our findings suggest that active public awareness, improved guidelines, and better disease management are necessary to expand the public and healthcare system's attention to headache disorders, and thereby gain a greater advantage in combating the burden of headache disorders in the future.
Methodology Development for Management of Recyclable Polymers by Fourier Transform Infrared Spectroscopy and PLS-DA
Authors: Grasel Fábio dos Santos , Weiler Fábio Henrique , Ferrão Marco Flôres 
Published: December 2024

Abstract

In this study, samples of recyclable polymers representing the seven standard classes were analyzed using Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy (ATR-FTIR) combined with a classification technique. The classification models were developed using Partial Least Squares Discriminant Analysis (PLS-DA), and its performance was assessed based on sensitivity, specificity, accuracy, efficiency, and the Matthews’s Correlation Coefficient (MCC). The PLS-DA models demonstrated high sensitivity, specificity, accuracy, and efficiency, with values ranging from 97.3–100%, except for the "Other" class, which showed values between 63.2% and 97.7%. The Matthews’s Correlation Coefficient values ranged from 0.92 to 1.00, except for the "Other" class, which had a value of 0.61, indicating strong overall performance of the classification models. This work demonstrates that PLS-DA combined with FTIR spectroscopy is a highly effective analytical tool in the identify of polymers for the reprocessing of recyclable materials.
Diclofenac Permeation Through Chitosan Membrane
Authors: Solís-Martínez Celeste , Galicia-Aguilar José Alberto , Almanza Eva Águila , López-Badillo Maribel , Lugo Ventura Rodríguez 
Published: December 2024

Abstract

We have carried out the formation of chitosan membranes as flat films by solvent evaporation method to determine the aqueous diclofenac permeation. Membranes were crosslinked with citric acid at different weight fractions and characterized using techniques such as FTIR, SEM, TGA and DSC. The FTIR and the thermal techniques showed that samples with citric acid were modified by the crosslink reaction. In this context, the swelling factor \(\:\left({S}_{f}\right)\) in water varies inversely to citric acid weight fraction, \(\:{S}_{f}\) is between 1.41 and 1.17, which can be considered as a low ratio. Membranes were used in the liquid phase permeation of NaCl, used as a probe molecule where permeability decreases as the inlet pressure increases. Finally, the membranes were used in the diclofenac permeation, where increasing the crosslinking degree the permeability decreases, demonstrating that membranes can separate diclofenac from water. SEM images demonstrate that diclofenac was retained in the upper side of the membrane and thermogravimetric analysis shows that diclofenac interacts with the membrane by slightly shifting the degradation temperature of the sample. Permeability is an inverse function of the crosslinking degree of the membrane.
Study on the Improvement of Pumping Station Inlet Flow Regime and Evaluation of Transverse Flow Velocity Elimination
Authors: Lv Fu-Sheng , Li Ping-Ping , Guo Xi-Long , Wang Lei , Pan Luo-Ping , Xu Lei 
Published: December 2024

Abstract

Optimizing the flow regime in the forebay of a pump station is crucial for enhancing the overall engineering quality, minimizing the performance degradation of the pump units, and reducing the risks of cavitation and vibration. This study involved both numerical simulations and experimental investigations of the flow regime within the forebay of a large low-head pumping station, under conditions with and without partition walls. Using the Navier-Stokes equations and the equations for and of the RNG turbulence model, we conducted numerical simulations of the forebay. To validate these simulations, we added partition walls to the forebay and performed experiments on a physical model. The hydraulic characteristics under different operating conditions were tested to elucidate the mechanism by which partition walls optimize the flow regime. The analysis of the inlet flow regime revealed variations in hydraulic elements in the forebay with different partition wall lengths. Based on our findings, we proposed effective measures for improving the inlet flow regime, applicable to forebay design. These results are essential for developing more rational and sustainable operations of similar pump station forebay designs and optimizations.
Synergistic Flame-Retardant Effects of SiO₂ Sol and Intumescent Flame Retardant in Wood Flour-Polypropylene Composites
Authors: Xu Chunfan , Lu Wangxing , Li Yan , Zhou Ru , Hao Min , Jiang Juncheng 
Published: December 2024

Abstract

Wood plastic composites (WPCs) are widely used green materials composed of a polymer matrix with wood as a filler. However, due to the flammable nature of the substrates used in WPC, there is a fire hazard associated with their use. To address this, this study developed WPCs by adding SiO2 sol and an intumescent flame retardant (IFR), which included ammonium polyphosphate (APP), melamine (MEL), and double pentaerythritol (DPER). This approach aimed to investigate their combined effects on thermal stability and flame retardancy. FTIR and laser particle size analysis confirmed the successful incorporation of SiO2 sol and its adhesion to wood flour (WF). The WPC adding both SiO2 sol and IFR exhibited excellent flame-retardant performance, with a limiting oxygen index (LOI) of 39.0%, a UL-94 V-0 rating, and a char residue of 28.1%. Cone calorimeter tests showed that the char layer expanded to approximately 4 cm, significantly reducing the total heat release (THR) and heat release rate (HRR). The formation of a silicon-containing char layer from SiO2 sol, coupled with an intumescent char layer from the cellulose-IFR reaction, created a composite multi-layered structure that effectively insulated against heat. These findings suggest that the developed WPCs exhibit enhanced flame retardancy, offering potential for application in fire-safe building materials.
Segmentation of Ink and Parchment in Dead Sea Scroll Fragments
Authors: Kurar-Barakat Berat , Dershowitz Nachum 
Published: December 2024

Abstract

The discovery of the Dead Sea Scrolls over 60 years ago is widely regarded as one of the greatest archaeological breakthroughs in modern history. Recent study of the scrolls presents ongoing computational challenges, including determining the provenance of fragments, clustering fragments based on their degree of similarity, and pairing fragments that originate from the same manuscript---all tasks that require focusing on individual letter and fragment shapes. This paper presents a computational method for segmenting ink and parchment regions in multispectral images of Dead Sea Scroll fragments. Using the newly developed Qumran Segmentation Dataset (QSD) consisting of 20 fragments, we apply multispectral thresholding to isolate ink and parchment regions based on their unique spectral signatures. To refine segmentation accuracy, we introduce an energy minimization technique that leverages ink contours, which are more distinguishable from the background and less noisy than inner ink regions. Experimental results demonstrate that this Multispectral Thresholding and Energy Minimization (MTEM) method achieves significant improvements over traditional binarization approaches like Otsu and Sauvola in parchment segmentation and is successful at delineating ink borders, in distinction from holes and background regions.
Using Evidence Accumulation Method for SolvingTask of Collective Perception
Authors: Sajko Gal , Babič Jan 
Published: December 2024

Abstract

This study advances collective perception in swarm robotics by introducing the Automated Swarm Opinion Diffusion Model, addressing limitations in the original Swarm Opinion Diffusion Model. While Swarm Opinion Diffusion Model integrates social and personal information for decision-making, its reliance on manually predetermined social factor parameter restricts adaptability to diverse task complexities. The novel Automated Swarm Opinion Diffusion Model eliminates this dependency by introducing an adaptive personal factor parameter, which automatically adjust the weighting of personal and social information based on the gathered information about the environment. This automated approach improves robustness and reduces the dissemination of erroneus information in early phases of the task. Comparative simulations against baseline methods (Voter model and Majority rule) demonstrate Swarm Opinion Diffusion Model's and Automated Swarm Opinion Diffusion Model's superior performance in both accuracy and consensus speed, particularly at the tasks with higher complexities. Additionally, Automated Swarm Opinion Diffusion Model maintains comparable efficiency to Swarm Opinion Diffusion Model while automating critical parameter selection, making it more suitable for real-world applications where prior knowledge about the environment and complexity of the task is unavailable. Future research will focus mostly on extending Automated Swarm Opinion Diffusion Model to best-of-n decision-making problem, where n is greater than 2, enhancing its applicability in various real-world swarm robotics scenarios.
Profiling the Plight of Adolescent Girls and Young Women: Risks and Pathways for Intervention in Rural Uganda
Authors: Bindeeba Dedrix Stephenson , Nakawesi Jane Senyondo , Mugisa Andrew , Senyimba Catherine , Mulebeke Ronald , Karamagi Yvonne 
Published: December 2024

Abstract

Background
Adolescent girls and young women (AGYW) in rural Uganda face a range of socio-economic, educational, and behavioral challenges that heighten their vulnerability to adverse health and social outcomes. Understanding their baseline risk profiles is essential for designing effective, targeted interventions.
Methods
This study utilized a retrospective, cross-sectional design to analyze secondary data from 124,258 AGYW across four districts in Uganda. K-means cluster analysis was employed to categorize participants into High-Risk and Low-Risk groups based on socio-economic, educational, and behavioral indicators. Bivariate analysis was used to validate the distinctiveness of these clusters, and logistic regression identified predictors of high-risk behaviors, including transactional sex, school dropout, and experiences of violence.
Results
The analysis revealed that 24.7% of AGYW were classified into the High-Risk group, with the majority (92%) being aged 20–25 years, compared to 9–14 years in the Low-Risk group. High-risk AGYW were significantly more likely to engage in transactional sex, drop out of school, and experience violence. Education emerged as a protective factor, with school enrollment increasing the likelihood of Low-Risk classification by 108 times (AOR = 108.154, p < 0.001). Economic desperation, particularly transactional sex, was a strong predictor of being classified as High-Risk (AOR = 1599.966, p < 0.001). Additionally, experiences of violence and substance use further compounded the vulnerabilities of this group.
Conclusion
Adolescent girls and young women in rural Uganda, particularly those aged 20–25, face significant vulnerabilities due to poverty, violence, and limited access to education. Integrated interventions focusing on education, economic empowerment, and violence prevention are critical for reducing these risks, fostering resilience, and promoting sustainable change for AGYW. Addressing these challenges through targeted strategies will improve their well-being and contribute to long-term development outcomes.
Synthesis and characterization of some new coumarin based thiazole derivatives-invitro activity against urinary tract infection
Authors: K Veeresh , M Manappa , K Basayya , H Basavaraj , K Vinayak , N Shravan L 
Published: December 2024

Abstract

A Series of coumarin based thiazole derivatives of ethyl 2 imino 4 methyl − 3 (2-(2({2-OXO,4 Substituted)-2 H chromene 7-yl)oxy)acetamido)thiazolidine 5-carboxylate (5a-m) were synthesized by the reaction between resorcinol and ethyl acetate to form coumarin derivatives. Further by reacting with substituted aldehydes formed coumarin based thiazole derivatives. The compounds were characterized by TLC, IR, NMR and mass spectrometry and synthesized compounds were carried out antimicrobial and urinary tract anti-infective activities. Among the series of compounds 5l, 5g showed good antibacterial activity and 5m and 5e showed moderate antibacterial activity and series of compounds 5l, 5e and 5g showed excellent antifungal activity. The compounds 5l, 5e and 5g were found active against Gram positive bacteria i.e. Staphylococcus Aureus at concentration of (2µg/ml). The compounds 5m, 5e and 5g were found active against Gram negative bacteria i.e. Escherichia Coli at concentration of (2µg/ml). The compound 5l, 5e and 5gshowed excellent antifungal activity against Candida Albicans and Aspergillus Niger at concentration of(4µg/ml).
Effects of eye closure on the spiking activity of human lateral geniculate neurons
Authors: Roelfsema Pieter , Self Matthew , Neuenschwander Sergio , Silva-Filho Hélio , Goulart Lissa , Vilela-Filho Osvaldo 
Published: December 2024

Abstract

We recorded spiking activity in the human lateral geniculate nucleus (LGN), which links the retina with the primary visual cortex. The cells had receptive-field properties resembling those of monkeys. Responses were largely monocular and the closure of one eye decreased the spontaneous activity of neurons with broader spikes preferring this eye and increased the activity of neurons with narrower spikes, suggesting that interneurons might gate LGN activity during eye closure.
Exploring the Drivers of AI Adoption: A Meta-Analysis of Technological, Organizational and Environmental (TOE) Factors
Authors: Paiva Jerónimo 
Published: December 2024

Abstract

The Artificial Intelligence (AI) revolution is transforming the corporate sector and rapidly accelerating the process of digital transformation. Based on a selection of 12 studies for meta-analysis with 3398 respondents from various industries and countries, this study investigates the factors influencing the adoption of AI using the Technology-Organization-Environment (TOE) framework. The results show that seven out of eight TOE factors have a statistically significant effect on AI adoption. Technological factors, including Compatibility (CPT) and Relative Advantage (ADV) have a positive impact, while Complexity (CX) was found to be statistically insignificant. Organizational factors, particularly Organizational Readiness (RE) and Management Support (MS) have a positive moderate effect. Environmental factors reveal that Government Support (GOV), Competitive Pressure (COP) and Vendor Partnership (VP) have a strong and positive impact. The study emphasizes the importance of Vendor Partnership and Organizational Readiness as critical factors in fostering AI adoption. Finally, this research will be advantageous for researchers and practitioners looking to explore the determinants driving significant AI adoption.