bluuebunny/crossref_metadata_2025 huggingface dataset:
Association of the serum uric acid-to-albumin ratio with all-cause, cancer specific, noncancer mortality in U.S. adults: a prospective study from the NHANES (1999--2018)
Authors: Ye Yongzhi , Chen Meiqiong , Ji Fada , Mi Suicai
Published: November 2024

Background
The serum uric acid-to-albumin ratio (UAR) is closely correlated with mortality in some diseases, but its correlation with all-cause and cancer specific death in the general population requires further research.
Methods
This prospective cohort study included 52,534 participants from the NHANES database (1999–2018). The inclusion criteria were as follows: 18 years of age and older, complete serum uric acid and albumin examinations and mortality follow-up. We used Cox models to evaluate the correlation between UAR and all-cause, cancer specific, and noncancer mortality. The nonlinear relationship was evaluated via restricted cubic spline (RCS) analysis.
Results
Cox regression analysis revealed that an increased UAR was related to an increased risk of death after adjustment for confounding factors (HR (95% CI) for all-cause death = 1.49 (1.32, 1.68), HR (95% CI) for cancer = 1.69 (1.32, 2.17), HR (95% CI) for noncancer = 1.43 (1.24, 1.64)). Compared with those in UAR T1 individuals, the hazards of all-cause death and cancer-specific death were significantly greater in UAR T3 individuals, and the HRs (95% CIs) were 1.17 (1.03, 1.33) and 1.53 (1.13, 2.07), respectively. The trend test results were significant, and the P values were 0.0074 and 0.0027, respectively. The risk of noncancer death in UAR-T3 individuals was not statistically significant (HR (95% CI) = 1.10 (0.95, 1.26), p for trend = 0.1377). Tumor subgroup analysis suggested that the UAR was positively correlated with the risk of mortality for each tumor type. After adjusting for variables, it was found that the UAR had a more significant effect on the risk of death from urogenital and gynecological tumors, with an HR (95% CI) of 1.80 (1.28, 2.54). A restricted cubic spline analysis revealed a "U"-shaped nonlinear correlation between UAR and all-cause, cancer specific, noncancer death. Threshold effect analysis suggested that the turning points of all-cause, cancer-specific and noncancer death for UAR were 1.4, 0.8 and 1.5, respectively.
Conclusion
When the UAR was greater than the threshold effect, the hazard of mortality gradually increased, and cancer-specific death had the lowest threshold effect and a more significant impact, which may be used as a biomarker to predict survival prognosis.
The importance of climate change and sustainability in nursing education: A cross-sectional study of students’ perspectives
Authors: Aronsson Jennie , Elf Marie , Warwick Paul , LoMartire Riccardo , Anåker Anna
Published: November 2024

Background
As climate change continues to challenge global health, nursing education must evolve to prepare future nurses for the impacts on care delivery and promote sustainable practices within the healthcare system which is itself a contributor to the climate crisis through emissions and waste. This study explores undergraduate nursing students' attitudes towards, and awareness of, climate change and sustainability, focusing on the inclusion of these topics within the nursing curriculum at a Swedish university.
Methods
In this cross-sectional descriptive research study, nursing students from six groups (semester 1–6) of a three-year BSc Nursing programme were asked to complete the SANS_2 questionnaire. Descriptive statistics were used to present mean scores for each item, and the Kruskal-Wallis test was used to identify differences in responses between different student groups. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement has been used to report this research.
Results
A total of 211 (32%) students completed the questionnaires. The findings showed that nursing students across the six semesters had relatively good awareness of, and positive attitudes towards, sustainability and climate change (no mean rating below 4 on a scale 1–7). Statistically significant differences between student groups were found in four out of nine items of the SANS_2 questionnaire, with students in their second semester consistently providing the highest ratings. This may be linked to integration of sustainability education at this stage of their curriculum, which covers the impacts of climate change and sustainability practices in nursing. Notably, the lowest ratings across these four items were provided by students in their last year of the programme. This indicates a gap in the effectiveness of sustainability education, particularly in its clinical application.
Conclusions
This study found that whilst students initially felt equipped to address sustainability issues and climate change in practice, this confidence appears to diminish by the programme's end, raising concerns about the preparedness of the future workforce. This underscores the urgency and importance of continuous reinforcement of sustainability concepts in nursing education, aligning with a spiral curriculum approach which advocates for reiterating themes throughout the curriculum to deepen understanding.
Clinical trial number: Not applicable.
Green Synthesis of Ag/SiO2 Catalyst for its Application in CO-Oxidation
Authors: Pati Subhasis , Jangam Ashok
Published: November 2024

Silver nanoparticles are highly active for low-temperature CO oxidation reactions. Herein, we report the synthesis of Ag nano particles dispersed over mesoporous SiO2 via a green approach. The Ag-nano particles were dispersed over mesoporous silica using bay leaf extract to prepare a 2% Ag/SiO2 catalyst. The formation of the catalyst was confirmed by UV-VIS spectroscopy, transmission electron microscopy (TEM) and X-ray diffraction analysis. The activity of the 2%-Ag/SiO2 catalyst was tested for CO oxidation reaction in a packed bed reactor. The catalyst showed excellent activity for low-temperature CO oxidation, and ∼100% conversion was achieved at 125 oC. The higher conversion and stable activity for 100 hours is ascribed to the strong metal support interaction, homogenous dispersion of nano-particles and formation of easily reducible metal oxides. The strong metal support interaction is confirmed by temperature programmed reduction analysis.
Meta-analysis shows a malleable rightward bias in the expectations of objects in space
Authors: Zhao Zhiran , Pike Emma , Deouell Leon , Lin Chin-Hsuan , Garrido Marta
Published: November 2024

Pseudoneglect, considered the archetype of spatial attentional assymetries among neurologically healthy individuals, is traditionally described as a consistent leftward error in visuo-spatial tasks.. Here we challenge this notion by revealing a consistent rightward “internal” bias in a task where participants’ representational encoding of visuo-spatial information is captured. Our meta-analysis across seven experiments in 1750 neurotypical individuals robustly demonstrates a rightward internal bias in the expectations of objects in space. Moreover, we show that this bias is malleable, with a simple behavioural intervention that manipulates prior expectations, albeit with limited generalisability. By successfully recalibrating a spatial bias, our research highlights the potential for cognitive adjustments in addressing spatial cognition challenges such as those in unilateral spatial neglect after stroke.
Eco-product Accounting and Enhancement for Rehabilitated Land in Mining Area: Methodologies and Policies for Sustainable Development
Authors: Wu Dawei , Wang Jinman , Feng Yu , Zhang Jianing , Ye Tiantian , Jia Mengxuan , Gao Tingyu , Liu Yue
Published: November 2024

Currently, mining is one of the largest organized human activities that change land use patterns and damage terrestrial ecosystems, resulting in many ecological and environmental problems. To address these issues, it is crucial to restore the original ecological balance of the mining area. This requires us to attach great importance to the improvement of ecosystem service functions while promoting physical restoration in mining areas, that is, to deeply explore and enhance the value of ecological products. Currently, the relevant research is insufficient in quantifying the value of intangible ecological products; moreover, it is lacking in the standardization of evaluation methods and marketization mechanisms. Therefore, this study aims to develop scientific value accounting methods and discuss value realization mechanisms. This study focused on the rehabilitated land in the Pingshuo mining area in Shanxi Province of China, and improves the connotation and concept of ecological products of rehabilitated land in mining areas. In this study, the replacement market method was used to value the various services and products provided by the ecosystem. The value of ecological products in the study area was conducted a spatiotemporal dynamic evaluation using the Mann-Kendall non-parametric test. Moreover, the application of the results of ecological products accounting in the ecological environment construction of mining area was evaluated, and the mechanism for realizing the value of ecological products in mining areas was explored. From 2000 to 2019, the value of ecological products in the Pingshuo mining area rose from ¥351.03 million to ¥508.56 million, exceeding local GDP. Water retention (WR) and climate regulation (CR) ecological products were the most prominent contributors, and the overall value of ecological products in the mining area consistently demonstrated a growth trend. Nevertheless, the values of carbon sequestration (CS), oxygen release (OR), and CR experienced fluctuations in certain years. This study underscores the need to establish a theoretical framework and standardized accounting method for ecological products, and integrate their value into national economic statistics. Additionally, it highlights the importance of creating a new performance evaluation mechanism centered on ecological products and exploring value realization mechanisms. These efforts aim to enhance the ecological health and sustainability of the mining area.
Riboflavin (Vitamin B2)-induced biomass, yield and antioxidant potential of Bittergourd in water-deficit condition
Authors: Razzaq Ammara , Ali Naila , Iftikhar Muhammad , Shah Anis Ali , . Zaib-un-Nisa , Ashraf Muhammad Yasin , Fatima Tatheer , Raja Vaseem , El-Sheikh Mohamed A.
Published: November 2024

Drought is an abiotic stress for many species that live in soil. Although many plants have been studied for drought-adaptive processes, but a little is known about Bittergourd (Momordica charantia L.). Antioxidants are especially important because desiccation causes an increase in the intracellular generation of reactive oxygen species. Riboflavin (vitamin B2) is one antioxidant that influences plant drought tolerance. It causes plants to produce reactive oxygen species(ROS) when exposed to light, is an excellent photosensitizer for biocidal reactions. This study explores the possible protective role of riboflavin (0, 25, 50, 100 ppm) foliar application against drought stress (i.e., 60% and 100% field capacity) in bitter gourd plants. A pot experiment was conducted in a completely randomized design (CRD) with four replicates during spring season of 2021 at the field area of University of Lahore. Results indicated that the foliar applications of riboflavin (RF) improved morphological and physiological attributes in plants as compared to control plants when grown under drought. Although with increasing concentration of riboflavin all the parameters gradually increased. Fruit count (44%), weight (20%), diameter (22%) and volume (43%) also increased with foliar application. Photosynthetic pigments (Chlorophyll a by 29%, Chlorophyll b by 48%, Total chlorophyll by 34% and Carotenoid by 16%) and metabolites (Total free amino acids by 41% and Total soluble proteins by 37%) increased under the influence of riboflavin. Moreover, Phenolic contents and antioxidant activities (Catalase, Peroxidase and DPPH) of bitter gourd were highlighted showing significant increase in stress which further enhanced under the effect of riboflavin by 23%, 42%, 36% and 56%, respectively to determine the specific direction to be taken for future plant antioxidant research.
Impact of Autophagy and Proteasome inhibition on denervation-induced Skeletal Muscle Atrophy
Authors: Singh Ajay , Dabur Rajesh
Published: November 2024

Skeletal muscle (SkM) mass loss is directly related to increased oxidative stress, inflammation, and muscle protein degradation mediated by proteolytic systems. Growing evidence suggests the interdependency of autophagy and UPS in the progression of SkM atrophy. Hence, the current study was performed to understand the interdependency of autophagy and UPS and their impact on SkM atrophy. 6-week-old male Wister rats undergone denervation were randomized into different treated groups for one week alone and in conjunction with UPS and autophagy inhibitors. Further assessments were achieved by morphological aberration (via histopathology), mRNA (via RT-qPCR), protein expression of muscle-specific markers (via western blotting), calpain activity (via Zymography) and biochemical alteration. In denervated rats, treatment mainly with chloroquine and somehow with velcade tried to normalize the activity of mitochondrial complex I and IV, calpains activity, levels of ROS, pro-atrophic markers TWEAK, FoxO3, NFkB, Smad3/4, UPS promoting E3 ligases; Atrogin1, MuRF1, autophagy promoting factors; LC3β, Atg5, p62, LAMP2A, PINK1 and myosin heavy chain. In denervated skeletal muscles, inhibition of autophagy affects the activity of proteasome and vice versa. Hence, autophagy and UPS both are interdependent systems in SkM atrophy. Autophagy inhibition attenuates muscle atrophy more precisely than proteasomal and both systems inhibitions.
Interactive Toolkit for Classifying Digital Health Interventions, Services, and Applications Based on the WHO Framework
Authors: Liyanage Anuradha , Wurhofer Daniela , Sareban Mahdi , Treff Gunnar , Niebauer Josef , Hussein Rada
Published: November 2024

Introduction:
The rapidly advancing digital health requires a standardized approach to classifying Digital Health Interventions (DHIs) for better planning, monitoring, and resource distribution. The World Health Organisation (WHO) developed a Classification for Digital Health Interventions, Services, and Applications in Health (CDISAH) in response to this need. This document is rather comprehensive, but it is not very user-friendly, which would be desirable to have. The purpose of this study was to develop an interactive, user-friendly toolkit based on WHO's CDISAH to help effectively classify the DHIs services and applications.
Methods
We used a descriptive approach with a seven-step iterative process to create the toolkit. The process began with a review of best practices for converting framework into toolkit, followed by drafting an initial toolkit structure, which was refined through team discussions. The content was based on WHO CDISAH. Expert feedback was incorporated, and quality assurance was conducted through internal and external reviews. The toolkit’s functionality and usability were evaluated through pilot testing on a sample of DHIs, services, and applications.
Results
Toolkit for WHO CDISAH has a structured interface with clear definitions, practical examples, and intuitive navigation across three main axes: health system challenges, digital health interventions, and digital health applications and services. Pilot testing improved its usability and functionality for accurate classification, with areas highlighted for refinement.
Conclusion
The developed toolkit provides a standardised, portable platform for classifying the multimodal DHIs that align with the framework presented by WHO.
Future Trajectories of Soil Erosion in Canadian Agricultural Lands: Runoff-Induced Impacts and Sustainability
Authors: Bonakdari Hossein , Amiri Afshin , Ebtehaj Isa , Soltani Keyvan , Gumiere Silvio
Published: November 2024

Human activities have significantly altered agricultural regions, leading to critical issues such as reduced soil fertility, biodiversity loss, and accelerated soil erosion. Despite its importance, reliable erosion maps for Canadian croplands remain scarce, hindering effective mitigation strategies. Here, we aimed to map erosion-prone areas in Canada by combining remote sensing and artificial intelligence methods under current and future climate scenarios from the Coupled Model Intercomparison Project Phase 6 (CMIP6). Our results revealed that soil erosion in Canada, on a national average, ranges from 4.72 to 6.64 t/ha/yr. All the scenarios indicate an increase in soil erosion over time. Soil degradation could become a more severe problem in the future. Our findings revealed that in 2030, 81,038 km² of agricultural land will exhibit high and severe erosion risks, indicating a significant 53.9% increase compared with that in 2020. The development of accurate soil erosion risk maps will not only enhance targeted conservation efforts but also serve as a critical tool for policymakers to implement effective soil management strategies, contributing to sustainable agriculture and climate resilience on a broader scale.
Analysis and Experimental Determination of Fluid Dynamics Within a Sphere for the Development of Multi Degree of Freedom Attitude Control Actuator
Authors: Vu Huu Quan , Stoll Enrico
Published: November 2024

In the contemporary landscape of spacecraft engineering, reaction wheels, control moment gyros, and momentum wheels are standard tools for precise attitude control, functioning by exchanging angular momentum through the rotation of a solid mass around its major axis.
The VEKTOR-FDA (Vector Fluid Dynamic Actuator) proposed in this paper offers an alternative by utilizing the principle of rotating liquid to generate angular momentum instead of relying on a solid body. Electromagnetic pumps drive and circulate the fluid, connecting to a hollow sphere via inlet and outlet channels. The fluid within the sphere is drawn into the pump through the outlet channel and reintroduced through the inlet channel. This circulation, combined with the spherical shape, generates a rotational fluid flow inside the hollow sphere, creating a rotating fluid volume and an angular momentum vector aligned with the rotation axis.
By utilizing at least three pumps arranged orthogonally, simultaneous operation allows flow mixing, which can be precisely controlled by adjusting the individual flow velocities of each pump. This setup enables the rotation axis of the fluid flow to be directed in any desired orientation, allowing the rotating fluid volume and its angular momentum vector to be spatially aligned as needed. As a result, a single VEKTOR-FDA actuator can manage attitude control across all three axes of the spacecraft, effectively functioning as a multiple-degree-of-freedom (MDOF) actuator.
The electromagnetic pump drive in the VEKTOR-FDA actuator provides self-lubrication and eliminates the need for moving mechanical parts, minimizing potential damage from mechanical loads like shocks during launch. Its simple design also enables the use of commercial off-the-shelf components, ensuring cost-effective implementation.
This paper provides a comprehensive overview of the motivation and concept behind the VEKTOR-FDA actuator. Additionally, this paper presents analyses and experimental results that investigate how rotating fluid flow can be generated within the sphere and examines its behavior. The study evaluates various factors influencing fluid flow inside the sphere, including configurations with variable cross-sectional shapes of the inlet and outlet channels. Furthermore, it determines the optimal positioning and arrangement of these channels to achieve efficient fluid flow volume, which is essential for maximizing angular momentum output.
The effect of Self-Directed Learning Readiness on Thai medical students’ self-reported National Licensing Examination Step 1 score
Authors: Siriwong Khemmawit , Pattanaprateeb Thitipat , Sawetratanasatien Ramon , Imwattana Korakrit
Published: November 2024

Background
Self-directed learning (SDL) is essential for medical students to adapt to continuous learning demands in clinical practice. Problem-based learning (PBL) has been widely used in Thailand’s medical education to foster SDL skills. Yet, limited research exists on how specific SDL components relate to academic success, particularly performance on the National Licensing Examination Step 1 (NLE1). This study examines associations between SDL readiness and self-reported NLE1 scores among Thai medical students.
Methods
In this cross-sectional study, 108 fourth- and fifth-year medical students at the Faculty of Medicine Siriraj Hospital, Mahidol University, completed the Self-Directed Learning Readiness Scale (SDLRS), assessing components such as self-management, willingness to learn, and self-control. Additionally, students completed the Time Management Questionnaire (TMQ). Self-reported NLE1 scores were collected as a measure of academic performance. Multiple linear regression was conducted to explore associations between SDL components and NLE1 scores, and Cohen’s Kappa was used to assess alignment between perceived and actual SDL readiness.
Results
Among the SDL components, only self-management skills were significantly associated with higher self-reported NLE1 scores (p = 0.005). Moderate agreement (Cohen’s Kappa = 0.41) was found between students’ perceived SDL readiness and actual SDL readiness scores, indicating that those perceiving themselves as SDL-ready tended to perform better on the NLE1. Although time management was common among SDL-ready students, it did not directly correlate with NLE1 scores.
Discussion
Our findings highlight self-management as the SDL component most closely associated with academic performance in medical students. This suggests that fostering self-management skills, including decision-making, resource utilization, and action planning, could enhance students’ academic competencies. The moderate agreement between perceived and actual SDL readiness also suggests that self-awareness plays a role in SDL effectiveness. Encouraging self-reflective practices and providing feedback on students' self-assessments could help bridge the gap between perception and reality. Future research might examine these relationships longitudinally or across diverse educational settings to clarify SDL’s broader impacts on academic outcomes.
Innovative Approaches in Image Processing: Enhancing Feature Extraction and Recognition Capabilities
Authors: Yang Zhaozhao , Yu Yuhai , Huang Yongdong , Meng Jiana
Published: November 2024

This paper presents novel methods to improve feature extraction and recognition capabilities in handwritten mathematical expression recognition (HMER). By introducing a Multi-Scale Residual (MSR) module within a DenseNet encoder, we effectively capture detailed and global features across different scales, thus overcoming feature loss problems commonly encountered in HMER tasks. In addition, we propose a data augmentation strategy based on spatial transformations to increase feature diversity without additional data. Our methodology is extensively evaluated on the CROHME 2014, 2016, and 2019 datasets, achieving recognition accuracies of 56.75%, 53.79%, and 56.13%, respectively, demonstrating consistent improvements in accuracy and robustness over traditional methods. This approach further optimises the overall performance of the model, making it well-suited for real-world applications requiring high accuracy in the recognition of handwritten mathematical expressions. All source code and datasets are accessible at https://github.com/freedompuls/MsMER, facilitating reproducibility. This work advances the state of the art in HMER and provides valuable insights for researchers and practitioners in image processing and pattern recognition.
Evidential Deep Learning for Guided Drug-Target Interaction Prediction
Authors: He Song , Zhao Yanpeng , Xing Yuting , Zhang Yixin , Wang Yifei , Wu Chengkun , Li Shangze , Xu Huiyan , Han Tianyu , Zhang Hongyang , Liu Ziyi , Zhou Guowei , Li Mengfan , Wang Xuanze , Chen Zhengshan , Li Ruijiang , Wu Lianlian , Zhao Dongsheng , Bo Xiaochen
Published: November 2024

Drug-target interaction (DTI) prediction is a crucial component of drug discovery. Recent deep learning methods show great potential in this field but also encounter substantial challenges. These include generating reliable confidence estimates for predictions, enhancing robustness when handling novel, unseen DTIs, and mitigating the tendency toward overconfident and incorrect predictions. To solve these problems, we propose EviDTI, a novel approach utilizing evidential deep learning (EDL) for uncertainty quantification in neural network-based DTI prediction. EviDTI integrates multiple data dimensions, including drug 2D topological graphs and 3D spatial structures, and target sequence features. Through EDL, EviDTI provides uncertainty estimates for its predictions. Experimental results on three benchmark datasets demonstrated the competitiveness of EviDTI against five state-of-the-art baseline models. In addition, our study shows that EviDTI can calibrate prediction errors. More importantly, well-calibrated uncertainty information enhanced the efficiency of drug discovery by prioritizing DTIs with higher confident predictions for experimental validation. In a case study focused on tyrosine kinase inhibitors (TKIs), uncertainty-guided predictions identified novel potential inhibitors targeting FAK and FLT3. These results underscore the potential of evidential deep learning as a robust tool for uncertainty quantification in DTI prediction and its broader implications for accelerating drug discovery.
Spatial distribution, genetic analysis, and population structure of the invasive Anopheles stephensi in Kenya: 2022-2024
Authors: Samake Jeanne N. , Athinya Duncan K. , Milanoi Sylvia , Ramaita Edith , Muchoki Margaret , Omondi Seline , Abong’o Bernard , Matoke-Muhia Damaris , Mbogo Charles , Keitany Kibor , Mukabana Wolfgang Richard , Oyieke Florence , Shieshia Mildred , Mburu Monica , Ogoma Sheila , Nyawira Elizabeth , Wekesa Celestine , Bartilol Brian , Rono Martin , Maia Marta , O’Meara Wendy , Kahindi Samuel , Rafferty Cristina , Schultz Jonathan S. , Gutman Julie R. , Gimnig John E. , Zohdy Sarah , Ochomo Eric
Published: November 2024

This study analyzes the distribution, genetic diversity, and spread of An. stephensi in Kenya following initial detection in December 2022. A total of 114 larval and 33 adult An. stephensi samples were confirmed in 7 of 18 surveyed counties majorly along transportation routes. Genetic analyses revealed three distinct genetic compositions with different levels of genetic diversity, suggesting multiple introductions into the country. The genetic composition of mosquitoes in most counties resembled southern Ethiopian populations, while those from Turkana showed a unique haplotype. A species distribution model predicts a more extensive range than currently observed, with low precipitation and minimal seasonal temperature variations as key factors influencing distribution. Challenges in adult sampling were noted, with larval sampling revealing co-occurrence with native Anopheles species. The findings have implications for surveillance and control strategies, emphasizing the need for continued monitoring, refined sampling techniques to inform bionomics, and cross-border collaboration.
Seroprevalence of Treponema pallidum antibodies and community knowledge, attitudes, and practices related to yaws in the middle belt of Ghana: A quantitative cross-sectional study
Authors: Nyarko Prince , Acheampong Anabel , Kudzordzi Prince Charles , Ofori Dennis Kyei , Blay Edwina Twum , Owusu Philip Antwi , Yeboah Godfred , Boakye Oppong Owusu , Henyo Albert , Datsa Lydia , Oduro Paulina Pokua , Nsiede Claudia Wubuareyasa , Ansah Emmanuel Boateng , Veriegh Francis Balungnaa Dhari , Otabil Kenneth Bentum
Published: November 2024

Background
The paucity of epidemiological data on yaws in Ghana hampers national eradication efforts. This study aimed to investigate the seroprevalence of T. pallidum antibodies and community knowledge, attitudes, and practices toward yaws in the middle belt of Ghana.
Methods
A cross-sectional, quantitative study was performed between June 2021 and October 2021. A total of 138 participants—63.8% (88) female, with a median age of 32.7 years—were recruited from five study communities. Blood samples were taken to test for antibodies against T. pallidum, and a questionnaire on knowledge, attitudes and practices toward yaws was administered.
Results
The overall seroprevalence of antibodies against T. pallidum was 38% (52/137) [95% CI: 30.3 − 46.3], the highest of which was 63.3% (19/30) 19/30 [95% CI: 45.5 − 78.1] in State Farms, followed by 46.8% (22/47) [95% CI: 33.3 − 60.8] in Branam and 38.5% (10/26) [95% CI: 22.4 − 57.5] in Abekwai 3. Only 54.3% (75/138) had a good level of knowledge, 40.6% (56/138) had a high level of positive attitudes, and 58.7% (81/138) had a high level of good practices toward yaws. Having a formal education significantly increased the odds of having a high level of knowledge on yaws (OR = 2.299, P = 0.045, 95% CI = 1.020–5.180). The participants with a high level of knowledge were 8 times more likely to have a high level of positive attitudes (OR = 8.407, P < .001, 95% CI = 3.702–19.090), whereas a high level of good attitudes also significantly increased the odds of having a high level of positive practices (OR = 2.870, P = .005, 95% CI = 1.379–5.970). Being ≥ 30 years old significantly increased the odds of having a high level of positive attitudes and positive practices.
Conclusions
Despite high seropositivity of T. pallidum antibodies, there was an inadequate level of knowledge, good attitudes, and good practices toward yaws in our study communities. We highlight the need for sustained, targeted educational and sociobehavioral change campaigns by the Ghana Yaws Eradication Program to improve community knowledge, attitudes and practices and help reduce the transmission of the disease in communities.
Departing Classroom Constraints: Learners’ Shift to VR for Language Self-study Amidst Methodology, Atmosphere, and Time Challenges
Authors: Ardalani Masoud
Published: November 2024

Language education is undergoing significant transformation driven by psychological factors and technological advancements. Traditional learning environments present various challenges, including methodological limitations, psychological barriers related to learning atmosphere, and time-management constraints. This study investigated the interrelationship between these challenges (termed the M.A.T. framework) and learners’ tendencies toward self-study approaches, while exploring Virtual Reality (VR) technology as a potential solution in addressing these multifaceted learning barriers. Through a targeted survey of 106 self-study language learners—a specialized population characterized by their autonomous learning approach and typically difficult to access— I examined both the drivers of self-study choices and attitudes toward VR adoption.
For the research methodology, I employed both quantitative analysis and psychological assessment to understand learners’ motivations and technological acceptance. Logistic regression analysis revealed that learners facing time-management (OR: 5.46, 95% CI: 1.65-18.09) and psychological atmosphere-related challenges (OR: 4.66, 95% CI: 1.18-18.40) were significantly more likely to consider VR solutions compared to those experiencing methodological challenges. Notably, 72% of participants showed willingness to try VR language learning, while methodology-related challenges demonstrated lower relevance than initially hypothesized.
In this study I combined quantitative survey techniques with psychological insights, contributing to our understanding of how technological solutions might address traditional learning environment challenges leading to educational change. These findings have significant implications for educational technology development, learning environment design, and the future implementation of VR in language education. Furthermore, the results suggest a shifting paradigm in language learning methodology, where technological solutions could effectively address psychological and time-management barriers in educational settings.
A Multivariable Newton-Based Stochastic Extremum Seeking Control for Systems with Distinct Input Delays
Authors: Silva Paulo Cesar Souza , Pellanda Paulo Cesar , Oliveira Tiago Roux
Published: November 2024

This paper introduces a novel multivariable Newton-based stochastic extremum-seeking control method for real-time optimization in multi-input systems with distinct input delays. The proposed approach integrates predictor-based feedback and Hessian inverse estimation, achieved through stochastic sinusoidal perturbations, to allow delay compensation while ensuring user-defined convergence rates. This method preserves exponential stability and guarantees convergence to a small neighborhood around the unknown extremum point, even under arbitrarily long delays in actuator channels. The control scheme is further extended to accommodate multi-input, single-output maps with cross-coupled channels, thereby addressing complex, delayed interactions that frequently arise in real-world control systems. Stability analysis is rigorously derived using backstepping transformations and infinite-dimensional averaging techniques, establishing a strong theoretical foundation for robust performance in dynamic settings. Numerical simulations illustrate the proposed method’s effectiveness in delay compensation, highlighting both the challenges and the benefits of managing time-delayed channels in real-time optimization.
Factors afffecting on the growth assets of sharia life insurance companies in Indonesia
Authors: Mushrifah Mega , Haryono Slamet , Pangayow Bill
Published: November 2024

Purpose - The objective of this research is to present a summary and examination of the impact of investment returns, claims, and premiums on asset growth in Indonesian sharia life insurance firms from 2018 to 2022.Method - This study uses quantitative methods. The study's population consists of sharia life insurance companies that are registered with the OJK, and its sample consists of seven such companies that provide complete financial reports through 2022. Panel data analysis is the data analysis technique employed in this study, and the Common Effect Model (CEM) was selected using eviws 10.Result - This study provides evidence that premiums and claims have a detrimental effect on Indonesian Islamicic life insurance businesses' asset growth. Low premiums and high claims inhibit asset growth. On the other hand, investment returns have a positive effect, because Islamicic insurance companies gain opportunities for asset growth from investments in various sectors. Therefore, claim management and optimization of investment returns are very important to encourage the growth of company assets.Implication - These findings have implications from the results of this investigation, which show that a company is better and can be considered healthy if its assets are larger.Originality - This study is the first to employ profit-sharing finance as an intervening variable.
The impact of the Russia-Ukraine conflict on market volatility: stability of Islamic cryptocurrency
Authors: Hasyim Fuad , Rusgianto Sulistya , Setianingsih Hesti Eka , Fauziah Nurul , Ramly Arroyan
Published: November 2024

Purpose - This research investigates how the Russia-Ukraine conflict affects the volatility of cryptocurrencies, with a specific focus on the comparative stability of Islamic gold-backed cryptocurrencies versus conventional cryptocurrencies, such as Bitcoin.Method - Utilizing the GARCH model, this study examines the risk factors and volatility transmission among cryptocurrencies (Bitcoin and Tether-gold), traditional financial markets (gold and stock markets), and their interrelationships during the conflict period. The study employs the daily closing prices of Bitcoin, Tether-gold, gold, the SP 500, and the Dow Jones Islamic Market Index from February 7, 2020, to November 30, 2023.Result - Bitcoin experienced significant volatility during the conflict, while the Tether-gold remained more stable. Islamic gold-backed cryptocurrencies have proven to be more stable than conventional ones during geopolitical crises.Implication - The findings offer valuable insights for investors seeking safe-haven assets during periods of economic uncertainty. Gold-backed cryptocurrencies present a more stable investment option compared to conventional cryptocurrencies, especially for investors adhering to Shariah principles.Originality - This research highlights the stability of Islamic gold-backed cryptocurrencies during geopolitical events, contributing to the understanding of safe-haven assets and offering practical implications for portfolio diversification and risk management.
Aprendizagem invertida (sala de aula invertida)
Authors: Oliveira Achilles Alves de , Silva Yara Fonseca de Oliveira e
Published: November 2024

Em um contexto de pedagogias emergentes, a Aprendizagem Invertida – AInv (ou Sala de Aula Invertida) é compreendida como uma reconfiguração no modo de organizar, mediar e conduzir o trabalho pedagógico. A partir de uma revisão de literatura e pesquisa documental, traz-se o objetivo de refletir sobre seu conceito, proposta e forma de (re)organização de tempos e espaços de ensino. Discute-se seu planejamento nos três momentos pedagógicos, que representam, respectivamente, o antes, o durante e o após a aula ou encontro. Ademais, reflete-se sobre aspectos para sua implementação, bem como sobre o preparo e a ambientação dos estudantes quanto às novas perspectivas espaçotemporais de ensino-aprendizagem e ao papel discente em prol de experiências mais (particip)ativas, críticas, criativas, contextualizadas e significativas. Desse modo, discutem-se elementos para pensar a AInv como alternativa pedagógica e inovativa, além de embasar sua implementação no processo de ensino.
Komunikacja influencerska o książkach na TikToku. Przykład profilu @mrukbooki
Authors: Sosnowska Joanna , Wójciszyn-Wasil Aneta
Published: November 2024

Treści przekazywane na platformie TikTok mają silny wpływ na zachowanie, rozwój, kształtowanie tożsamości oraz umiejętności młodych odbiorców. Jednym z ważnych trendów ostatnich lat jest promowanie przez użytkowników tej aplikacji tematyki książkowej. BookTok stał się wyznacznikiem współczesnej formy recenzji literatury realizowanej przy pomocy środków wyrazu właściwych dla mediów społecznościowych. Celem artykułu jest opisanie specyfiki influencera książkowego na przykładzie popularnego profilu polskiej booktokerki, Emili Jachimczyk. Refleksja skupia się na dwóch wymiarach: komunikacji influencerskiej oraz formule recenzji jako aspektach treści prezentowanych przez influencerkę. Popularność publikacji na profilu powoduje, że podjęte badania mogą być uznane za odczytanie współczesnych trendów cyfrowej, sieciowej obecności influencerów książkowych w polskiej przestrzeni mediów społecznościowych.
Między powinnościami a możliwościami. Funkcjonowanie redakcji mniejszości ukraińskiej w Polskim Radiu w pierwszym półroczu wojny w Ukrainie
Authors: Szydłowska Magdalena
Published: November 2024

Autorka analizuje funkcjonowanie redakcji mniejszości ukraińskiej przy regionalnych rozgłośniach nadawcy publicznego, wprowadzone tam zmiany organizacyjne i programowe w pierwszych miesiącach wojny.  Podstawą analizy są wywiady z dziennikarzami rozgłośni,  ramówki z 2022 roku, a także zalecenia w sprawie podwyższenia bezpieczeństwa teleinformatycznego i zarządzenie w sprawie wprowadzenia stopnia alarmowego CRP Prezesa Rady Ministrów.
Rola oświadczenia w zarządzaniu informacją w kryzysie wizerunkowym influencera w kontekście zasady 5P
Authors: Urbaś Joanna
Published: November 2024

Jedna z najpopularniejszych zasad organizujących działania w zarządzaniu kryzysowym to zasada 5P autorstwa Adama Łaszyna.  Praktyczną formą, w której powinna się spełniać, jest między innymi oświadczenie kryzysowe. Główna hipoteza dotyczy tego, że jego dobra konstrukcja stanowi punkt przełomowy w relacjach z otoczeniem w mediach społecznościowych. Badania przeprowadzono metodą studium przypadku z elementami analizy zawartości. Wnioski płynące z badań potwierdzają hipotezy szczegółowe o tym, jak istotna w oświadczeniach kryzysowych jest nie tylko sama jego konstrukcja, ale też czas publikacji, kanał oraz forma wyrażenia – lub nie – skruchy. Dotychczasowe publikacje dotyczące kryzysów wizerunkowych influencerów powstawały w ramach raportów lub artykułów w portalach branżowych, brakuje natomiast naukowego opracowania tematu. Publikacja wnosi też wartość w postaci autorskiej kategoryzacji oświadczeń kryzysowych, która może stanowić narzędzie, klucz analizy w innych tego typu badaniach w przyszłości.
The Complications after General Anesthesia between Female and Male Genders in the First 24 Hours after Surgery
Authors: Vahabi Sepideh , Beiranvand Siavash , Kiabi Farshad Hassanzadeh , Rastad Hamid
Published: November 2024

Background

During surgery, the body responds to injury. These physiological responses lead to an imbalance in the physiologic activity of the body.

Objective

This study aimed to compare the incidence of complications after general anesthesia between males and females in the first 24 hours postoperatively.

Methods

This is a cross-sectional study. The study population included 150 patients who were candidates for surgery in the age range of 18-55. The sampling method was simple and sequential, and the selection of samples continued to reach 75 in both male and female groups. The collected data were analyzed by SPSS v.18 software and descriptive statistics, chi-square and Repeated Measure tests. Finally, P <0.05 was considered statistically significant.

Results

The incidence of some complications after general anesthesia was significantly higher in women than in men, including hypertension, tachycardia, tachypnea, restlessness, reduction of SaO2, hypotension, pain, vomiting, nausea, and drowsiness. Also, some complications were observed in women more than men, but they were not statistically significant, including voice violence, urinary retention, bradypnea, and shivering. Bradycardia was the only complication that was seen in men more than women but was not statistically significant. It was also observed that all complications after 24 hours significantly decreased in all patients.

Conclusion

It is suggested that in future studies, this type of study should be conducted with a larger sample size in different populations and compared with other types of anesthetics.
HUBUNGAN KOMUNIKASI INTERPERSONAL IBU DENGAN TINGKAT KECEMASAN REMAJA PUTRI MENGHADAPI MENARCHE DI SD NEGERI BUNULREJO 2 KOTA MALANG
Authors: Syaharani Salma Fadhilah
Published: November 2024

Adolescence is a stage of life that stretches between childhood and adulthood begins with hormonal changes followed by the first menstrual period or menarche in girls. Menarche generally occurs around the age of 11 – 14 years. Adolescent girls with minimal knowledge will assume that menarche causes discomfort and pain, causing anxiety. Anxiety about menarche can be removed if the mother is caring and wise in responding to the changes that will occur in adolescent girls. In dealing with menarche, mothers can be the primary source of information about menstruation in interpersonal communication. The aim of this study is to prove the correlation between mothers' interpersonal communication and the anxiety level of adolescent girls facing menarche at SD Negeri Bunulrejo 2 Malang City. In this study, an observational analytic design with a Cross-Sectional Study approach was implemented. The sample was obtained using a total sampling technique, and 53 adolescent girls' respondents at SD Negeri Bunulrejo 2 Malang City fulfilled the inclusion criteria. Mother's interpersonal communication and anxiety levels of adolescent girls facing menarche were measured by the questionnaire that had been tested for validity and reliability. The correlation between the two variables was analyzed using the Spearman rank correlation test. There was a significant negative correlation (Spearman Value = -0.705) between the mother's interpersonal communication and the level of anxiety facing menarche. This study concludes there is a correlation between mothers’ interpersonal communication and anxiety levels of adolescent girls facing menarche at SD Negeri Bunulrejo 2 Malang City. Key words: interpersonal communication, anxiety, menarche, adolescent girl
Future expectations for faculty roles at Yarmouk University in light of AI-based learning
Authors:   College of Education, University of Hail, Hail, Saudi Arabia, Al Azam Miesam Fawzi Motiar
Published: November 2024

This study aimed to examine future expectations for faculty roles at Yarmouk University in the context of artificial intelligence (AI)-based learning. Using a descriptive approach, the researchers employed a questionnaire as the primary tool, with a sample of 140 faculty members from the College of Education. Results indicated that the first category, related to teaching methods, received a weighted average of 4.55, indicating strong agreement. Similarly, the second category of communication scored a weighted average of 4.57, which also reflects strong agreement. The third category, focusing on technical performance, achieved a weighted average of 4.59, showing strong agreement, while the fourth category, addressing educational activities, received a weighted average of 4.58, indicating strong agreement. Overall, the combined categories had an average weighted score of 4.58, suggesting strong agreement on the roles of faculty members at Yarmouk University within an AI-based learning environment. Additionally, significant differences emerged among respondents based on gender, college affiliation, and years of experience; however, no significant differences were found based on academic rank.
Efecto de la suplementación con ácidos grasos poliinsaturados en el peso de becerros y parámetros reproductivos de vacas brahman
Authors: Rojas Guzman Eduardo Andres , Ángel Cardona Juan Camilo
Published: November 2024

El uso de biotecnologías reproductivas en programas de selección y mejora genética busca obtener productos frente a características productivas. Para esta investigación, se comparó el desempeño reproductivo de 134 vacas sometidas a sincronización de celo para inseminación artificial a tiempo fijo, sin suplementación (T1) o con suplementación (T2) con ácidos grados poliinsaturados (AGPI), desde 15 días antes del inicio del protocolo hasta el día 75. El protocolo de sincronización usado fue: día 0: benzoato de estradiol con dispositivo intravaginal de progesterona; día 8: retiro del dispositivo y cloprostenol; día 10: inseminación a tiempo fijo y aplicación de acetato de buserelina. Después de la inseminación, las vacas permanecieron con un toro. La validación de los resultados usó un modelo completamente aleatorizado y la prueba de Tukey (P < 0,05) para interpretación de medias. Hubo una diferencia significativa en el tamaño del folículo preovulatorio (P < 0,0018) y el tamaño del cuerpo lúteo (P < 0,007) positivo para vacas suplementadas. La tasa de preñez a la inseminación a tiempo fijo fue de: T1 = 34,84 % y T2 = 46,26 %, donde el resultado fue un 11,42 % mayor para T2 (P < 0,05); la tasa de preñez del toro fue de T1 = 37,86 % y T2 = 25,44 %, y resultó ser un 12,42 % mayor para T1 (P ˂ 0,05), sin diferencia entre tratamientos (P > 0,05) para la tasa de preñez total. La ganancia de peso fue mayor en terneros hijos de vacas suplementadas (T1 = 19,6 vs. T2 = 33,07 kg) y la suplementación de vacas reproductoras con AGPI aumentó las tasas de preñez a la inseminación artificial a tiempo fijo, reduciendo el intervalo entre partos.