bluuebunny/crossref_metadata_2025_split huggingface dataset:
Basal metabolic rate mediates the causal relationship between gut microbiota and osteoarthritis: a two-step bidirectional Mendelian randomization study
Authors: Li Jiachen , Liang Jianhui , Liu Yang , Sun Weichao , Sun Wei 
Published: October 2024

BackgroundThe relationship between gut microbiota and osteoarthritis (OA) occurrence remains unclear. Existing research needs to clearly understand how basal metabolic rate (BMR) regulates this relationship. Therefore, using a two-step bidirectional Mendelian Randomization approach, our study aims to investigate whether BMR levels mediate the causal relationship between gut microbiota and OA.MethodsIn this study, we examined publicly available summary statistics from Genome-Wide Association Studies (GWAS) to determine the correlation between gut microbiota and OA. The analysis included one primary dataset and two secondary datasets. Initially, a two-step, two-sample, and reverse MR analysis was performed to identify the causal relationship between gut microbiota and OA. Subsequently, a two-step MR analysis revealed that the relationship between microbiota and OA is mediated by BMR. Sensitivity analyses confirmed the robustness of the study results.ResultsIn our analysis of the primary dataset, we discovered a positive correlation between three taxa and the outcome of OA, and eight taxa exhibited a negative correlation with the OA outcome. Through comparisons with the secondary dataset and multiple testing corrections, we found a negative association between the class Actinobacteria (OR=0.992886277, p-value = 0.003) and the likelihood of OA occurrence. Notably, knee osteoarthritis (KOA) and hip osteoarthritis (HOA) had a strong negative correlation (OR = 0.927237553/0.892581219). Our analysis suggests that BMR significantly mediates the causal pathway from Actinobacteria to OA, with a mediated effect of 2.59%. Additionally, BMR mediates 3.98% of the impact in the path from the order Bifidobacteriales and the family Bifidobacteriaceae to OA. Besides these findings, our reverse analysis did not indicate any significant effect of OA on gut microbiota or BMR.ConclusionOur research results indicate that an increase in the abundance of specific gut microbial taxa is associated with a reduced incidence of OA, and BMR levels mediate this causal relationship. Further large-scale randomized controlled trials are necessary to validate the causal impact of gut microbiota on the risk of OA. This study provides new insights into the potential prevention of OA by modulating the gut microbiota.
Hemoglobin α-derived peptides VD-hemopressin (α) and RVD-hemopressin (α) are involved in electroacupuncture inhibition of chronic pain
Authors: Yuan Xiaocui , Guo Yixiao , Yi Huiyuan , Hou Xuemei , Zhao Yulong , Wang Yuying , Jia Hong , Baba Sani Sa’idu , Li Man , Huo Fuquan 
Published: October 2024

IntroductionKnee osteoarthritis (KOA) is a chronic degenerative bone metabolic disease that primarily affects older adults, leading to chronic pain and disability that affect patients’ daily activities. Electroacupuncture (EA) is a commonly used method for the treatment of chronic pain in clinical practice. Previous studies indicate that the endocannabinoid system is involved in EA analgesia, but whether endocannabinopeptide VD-hemopressin (α) and RVD-hemopressin (α) derived from hemoglobin chains are involved in EA analgesia is unclear.MethodsRNA-seq technology was used to screen which genes involved in EA analgesia. The expression of hemoglobin α chain and 26S proteasome were determined by Western blotting. The level of VD-hemopressin (α) and RVD-hemopressin (α) were measured by UPLC-MS/MS. Microinjection VD-Hemopressin (α), RVD-Hemopressin (α) and 26S proteasome inhibitor MG-132 into vlPAG, then observe mechanical and thermal pain thresholds.ResultsTherefore, we used RNA-seq to obtain differentially expressed genes Hba-a1 and Hba-a2 involved in EA analgesia in the periaqueductal gray (PAG), which were translated into the hemoglobin α chain. EA significantly increased the expression of the hemoglobin α chain and the level of hemopressin (α) and RVD-hemopressin (α). Microinjection of VD-hemopressin (α) and RVD-hemopressin (α) into the ventrolateral periaqueductal gray (vlPAG) mimicked the analgesic effect of EA, while CB1 receptor antagonist AM251 reversed this effect. EA significantly increased the expression of 26S proteasome in KOA mice. Microinjection of 26S proteasome inhibitor MG132 before EA prevented both the anti-allodynic effect and upregulation of the concentration of RVD-hemopressin (α) by EA treatment and upregulated the expression of the hemoglobin α chain.DiscussionOur data suggest that EA upregulated the concentration of VD-hemopressin (α) and RVD-hemopressin (α) through enhancement of the hemoglobin α chain degradation by 26S proteasome in the PAG, then activated the CB1 receptor, thereby exerting inhibition of chronic pain in a mouse model of KOA. These results provide new insights into the EA analgesic mechanisms and reveal possible targets for EA treatment of chronic pain.
Feature diffusion reconstruction mechanism network for crop spike head detection
Authors: Ming Rui , Gong Qian , Yang Chen , Luo Haibo , Song Cancan , Zhou Zhiyan 
Published: October 2024

IntroductionMonitoring crop spike growth using low-altitude remote sensing images is essential for precision agriculture, as it enables accurate crop health assessment and yield estimation. Despite the advancements in deep learning-based visual recognition, existing crop spike detection methods struggle to balance computational efficiency with accuracy in complex multi-scale environments, particularly on resource-constrained low-altitude remote sensing platforms.MethodsTo address this gap, we propose FDRMNet, a novel feature diffusion reconstruction mechanism network designed to accurately detect crop spikes in challenging scenarios. The core innovation of FDRMNet lies in its multi-scale feature focus reconstruction and lightweight parameter-sharing detection head, which can effectively improve the computational efficiency of the model while enhancing the model's ability to perceive spike shape and texture.FDRMNet introduces a Multi-Scale Feature Focus Reconstruction module that integrates feature information across different scales and employs various convolutional kernels to capture global context effectively. Additionally, an Attention-Enhanced Feature Fusion Module is developed to improve the interaction between different feature map positions, leveraging adaptive average pooling and convolution operations to enhance the model's focus on critical features. To ensure suitability for low-altitude platforms with limited computational resources, we incorporate a Lightweight Parameter Sharing Detection Head, which reduces the model's parameter count by sharing weights across convolutional layers.ResultsAccording to the evaluation experiments on the global wheat head detection dataset and diverse rice panicle detection dataset, FDRMNet outperforms other state-of-the-art methods with mAP@.5 of 94.23%, 75.13% and R2 value of 0.969, 0.963 between predicted values and ground truth values. In addition, the model's frames per second and parameters in the two datasets are 227.27,288 and 6.8M, respectively, which maintains the top three position among all the compared algorithms.DiscussionExtensive qualitative and quantitative experiments demonstrate that FDRMNet significantly outperforms existing methods in spike detection and counting tasks, achieving higher detection accuracy with lower computational complexity.The results underscore the model's superior practicality and generalization capability in real-world applications. This research contributes a highly efficient and computationally effective solution for crop spike detection, offering substantial benefits to precision agriculture practices.
Mindfulness-based relapse prevention targeting psychological craving and trait mindfulness in young Chinese women with methamphetamine dependence: a randomized controlled trial
Authors: Liu Xuan , Zhang Yidan , Cheng Hongxin , Dong Honglin , You Yuting , Wu Yuxi , Yang Chunli , Jing Lushi 
Published: October 2024

MethodsWe recruited 58 MA-dependent young adult females from a compulsory isolation drug rehabilitation center in Sichuan Province and randomly divided them into an MBRP group (n = 29) and a control group (n = 29) according to their degree of psychological craving. The MBRP group received 2 hours of MBRP training twice a week for 4 weeks, alongside routine treatment at the drug rehabilitation center. Meanwhile, the control group solely received routine treatment at the drug rehabilitation center without any additional interventions. The assessment was conducted before and immediately after the intervention, with the Compulsive Drug Use Scale (OCDUS) used to assess craving and the Five-Factor Mindfulness Scale (FFMQ) used to assess trait mindfulness. Also, a “mental feedback monitoring balance” instrument was used to assess concentration and relaxation during some training sessions. This randomized trial was conducted to evaluate the effectiveness of decreasing psychological craving and increasing trait mindfulness.ResultsAt baseline, there were no significant differences in total or dimension scores for FFMQ or OCDUS between the two groups (all P &gt; 0.05). After the intervention, the repeated measures ANOVA showed a significant time main effect on changes in observing, non-judging, and non-reacting scores (all P &lt; 0.05), and a significant interaction effect between time and group on both FFMQ total score and OCDUS score (P &lt; 0.01 or P &lt; 0.05). Mental feedback monitoring indicated significant improvement in concentration and relaxation after breath meditation exercises (P &lt; 0.05 or P &lt; 0.001). Additionally, the MBRP group showed improved relaxation during the body scan exercise (P &lt; 0.01).ConclusionMBRP training can improve the trait mindfulness of MA addicts and reduce psychological cravings effectively.
Post-implementation knowledge retention of stroke: the lasting influence of FAST Heroes
Authors: Orologa Emilia , Baskini Maria , Tsakpounidou Kalliopi , Keramydas Christos , Proios Hariklia 
Published: October 2024

BackgroundFAST Heroes is a kindergarten-based educational program that teaches young children and their extended families (parents, grandparents), the main stroke symptoms (Face, Arm, and Speech), and the timely and appropriate steps in the event of a suspected stroke (Time). However, post-campaign knowledge retention remains a challenge.AimsThe purpose of the current study was to investigate whether and to what extent grandparents’ stroke knowledge is maintained 44 months after the initial implementation of the program.MethodsForty-five participants engaged in the present study (35 women, 10 men; 72.8§5.3) and completed an adapted version of the FAST Heroes Stroke Preparedness Questionnaire via phone calls.ResultsCompared to immediately post-program implementation, respondents were still able to recall arm weakness (OR = 1.63; p = 0.246) and slurred speech (OR = 2.02; p = 0.075) as main stroke symptoms. A decrease was observed in recalling facial drooping (OR = 0.44; p = 0.042). Reporting of the appropriate course of action, was found to be increased (OR = 4.17; p &lt; 0.001). Respondents remembered the emergency number to call, i.e., 112 (OR = 0.97; p = 0.947).ConclusionThe results showed that awareness regarding the common signs of a stroke and the importance of promptly contacting emergency services following a stroke, in the population group mostly affected by stroke, is retained. Exploring knowledge preservation in a greater sample size is warranted.
Determining the acceptance of e-mental health interventions in elite athletes using the unified theory of acceptance and use of technology
Authors: Geiger Sheila , Aufderlandwehr Julia , Esser Anna Julia , Schadendorf Theresa , Muehlbauer Thomas , Skoda Eva-Maria , Teufel Martin , Bäuerle Alexander 
Published: October 2024

BackgroundElite athletes are exposed to many different sport-specific stressors that may put them at particular risk for mental health symptoms and disorders. E-mental health interventions could be a feasible option to support elite athletes in need. The aim of the present study was to assess the acceptance of e-mental health interventions among elite athletes and explore its underlying drivers and barriers.Materials and methodsA cross-sectional study was conducted with N = 382 elite athletes. Of these, N = 275 (71.99%, 167 females) were included in the statistical analyses. The impact of various sociodemographic, sport-related and medical characteristics on acceptance was assessed. EHealth-related data and acceptance of e-mental health interventions were examined using a modified assessment based on the Unified Theory of Acceptance and Use of Technology (UTAUT).ResultsOverall, the acceptance of e-mental health interventions in elite athletes can be classified as high (M = 3.69 SD = 0.97). In the UTAUT regression model sex, financial situation, depression symptoms, digital confidence, digital overload as well as the UTAUT predictors performance expectancy, effort expectancy, and social influence predicted acceptance significantly.ConclusionsThe UTAUT model has proven to be a valuable instrument in predicting of acceptance of e-mental health interventions in elite athletes. Given the strong association between acceptance and future use, new interventions should focus on the explored factors to establish effective e-mental health interventions for elite athletes.
Exercise, Neuroprotective Exerkines, and Parkinson’s Disease: A Narrative Review
Authors: Mitchell Alexandra K. , Bliss Rebecca R. , Church Frank C. 
Published: October 2024

Parkinson’s disease (PD) is a prevalent neurodegenerative disease in which treatment often includes an exercise regimen. Exercise is neuroprotective in animal models of PD, and, more recently, human clinical studies have verified exercise’s disease-modifying effect. Aerobic exercise and resistance training improve many of PD’s motor and non-motor symptoms, while neuromotor therapy and stretching/flexibility exercises positively contribute to the quality of life in people with PD. Therefore, understanding the role of exercise in managing this complex disorder is crucial. Exerkines are bioactive substances that are synthesized and released during exercise and have been implicated in several positive health outcomes, including neuroprotection. Exerkines protect neuronal cells in vitro and rodent PD models in vivo. Aerobic exercise and resistance training both increase exerkine levels in the blood, suggesting a role for exerkines in the neuroprotective theory. Many exerkines demonstrate the potential for protecting the brain against pathological missteps caused by PD. Every person (people) with Parkinson’s (PwP) needs a comprehensive exercise plan tailored to their unique needs and abilities. Here, we provide an exercise template to help PwP understand the importance of exercise for treating PD, describe barriers confronting many PwP in their attempt to exercise, provide suggestions for overcoming these barriers, and explore the role of exerkines in managing PD. In conclusion, exercise and exerkines together create a powerful neuroprotective system that should contribute to slowing the chronic progression of PD.
Work–Family Interface Profiles and Their Associations with Personal and Social Factors among South Korean Dual-Earner Parents
Authors: Lim Yangmi 
Published: October 2024

The work–family interface literature has focused on a variable-centered approach, and few studies have used a person-centered approach to investigate work–family interface types and their associations with psychosocial factors. This study explored whether distinct work–family interface types could be identified at a dyadic level in dual-earner couples by combining work–family conflict (WFC) and enrichment (WFE) for both parents. It also examined how these couples’ comprehensive types of work–family interface were related to psychosocial outcomes. Conducting a latent profile analysis in a sample of 558 dual-earner couples (Mage: 40.43 ± 4.07 years for fathers, 37.97 ± 3.57 years for mothers) with first-grade children in elementary schools participating in the Panel Study on Korean Children, this study identified three work–family interface profiles: Beneficial fathers/Moderate active mothers (fathers reporting low WFC and high WFE/mothers reporting moderate WFC and WFE), Beneficial (both parents reporting low conflict and high enrichment), and Harmful (both parents reporting high conflict and low enrichment). Fathers’ education, household income, and social support influenced their membership in work–family interface profiles. Overall, members with Beneficial fathers/Moderate active mothers and Beneficial profiles showed more positive personal and family outcomes than those with Harmful profiles.
Optimization Study on Stakeholder Capability Configuration in Green Construction
Authors: Zheng Zhizhe , Su Yikun , Liu Junhao , Zhou Zhichao , Wang Xing 
Published: October 2024

Green construction is considered to be a construction model that pursues high resource efficiency and the utilization of reduced environmental impacts through technological innovation and management optimization under the realization of the project’s iron triangle. The realization of its performance relies on the level of stakeholder capability configuration. To reveal the optimal capability configuration and interaction between regulators and executors, this study constructed a utility model based on a post-positivist methodology. By analyzing the optimal capability configuration and coordination levels of regulators and executors according to the practices and constraints of green construction, this study conducted a static analysis to compare the effects of marginal value on regulators’ capability input and coordination coefficients. Finally, a sensitivity analysis uncovers the changes in capability configuration interaction and coordination coefficients at different stages of green construction. The results indicate that high levels of coordination in green construction cannot be maintained in the long term; continuous capability input from regulators is required for sustained support. Only by eliminating external uncertainties, reducing the variable costs for executors in advancing green construction, and controlling their risk aversion can executors be truly motivated to promote green construction. The capability configuration of both regulators and executors adjusts with corresponding marginal values. The capability configuration of executors shows a trend of initially increasing and then decreasing as the progressive coefficient rises. The model proposed in this study ensures that the final coordination level stabilizes at a relatively high level, which is between 0.6 and 0.7. In summary, the breakthrough findings provide critical insights into green construction management, contributing to the achievement of the anticipated green construction objectives.
A New Stochastic Controller for Efficient Power Extraction from Small-Scale Wind Energy Conversion Systems under Random Load Consumption
Authors: Tighirt Abdelhakim , Aatabe Mohamed , El Guezar Fatima , Bouzahir Hassane , Vargas Alessandro N. , Neretti Gabriele 
Published: October 2024

This paper presents an innovative scheme to enhance the efficiency of power extraction from wind energy conversion systems (WECSs) under random loads. The study investigates how stochastic load consumption, modeled and predicted using a Markov chain process, impacts WECS efficiency. The suggested approach regulates the rectifier voltage rather than the rotor speed, making it a sensorless and reliable method for small-scale WECSs. Nonlinear WECS dynamics are represented using Takagi–Sugeno (TS) fuzzy modeling. Furthermore, the closed-loop system’s stochastic stability and recursive feasibility are guaranteed regardless of random load changes. The performance of the suggested controller is compared with the traditional perturb-and-observe (P&O) algorithm under varying wind speeds and random load variations. Simulation results show that the proposed approach outperforms the traditional P&O algorithm, demonstrating higher tracking efficiency, rapid convergence to the maximum power point (MPP), reduced steady-state oscillations, and lower error indices. Enhancing WECS efficiency under unpredictable load conditions is the primary contribution, with simulation results indicating that the tracking efficiency increases to 99.93%.
Current Business Process Improvement in PT Vidio Dot Com
Authors: Shella Shella , Karmudiandri Arwina , Handojo Irwanto 
Published: October 2024

Merdeka Belajar – Kampus Merdeka (MBKM) is a government program to improve student’s leadership skills, innovation, capacity, personality, and independence. In this era of globalization, competition becomes more challenging especially in the workplace. Therefore, students need to prepare themselves by participating this MBKM program. This MBKM program was held at PT Vidio Dot Com, a broadcasting company and number one OTT in Indonesia, as a business analyst. The primary work and responsibility a business analyst is improvement project. This project is used to improve current business process held and build neat documentation in all divisions at PT Vidio Dot Com. All MBKM activities are effective and efficient to be conducted. Students can to learn, apply, and obtain several achievements in attitude, knowledge, general skills and special skills. This MBKM program is very feasible to run by the government which students can maximize the time given to increase their abilities and achieve the goal set by the company. Even though there are several limitations and need to be improved, this program also contribute to company and society.
Pengaruh Metode Role Playing terhadap Hasil Belajar Siswa Kelas V SDN Pandenlamper 03 Semarang
Authors: Ernawati Ernawati , Purnamasari Veryliana , Estiyani Estiyani 
Published: October 2024

The problem found based on observations of class V students at SDN Pandeanlamper 03 on 17 January 2024 was the lack of students' concentration and students’ involvement in learning process that influenced the students’ learning outcomes. To solve this problem, researchers conducted research in learning process using the role playing method. Therefore, this research aimed to determine the influence of the role playing method on the learning outcomes of class V students at SDN Pandeanlamper 03 Semarang. The focus of this research is Pancasila Education Subject about Diversity as a Gift. The research method used was quantitative using quasy-experiment. The samples of this research were 28 of class V students of SDN Pandeanlamper 03. The collection of data techniques used were test questions which were pretest and posttest and documentation of research activities. The research results gained the average of pretest score was 61.9 before treatment conducted and 83.2 of posttest score after treatment using role playing method conducted. The data analysis results using Normalized Gain showed that the N-Gain is 0.56, this result meant that it was the medium category. T-test showed that t obtained 6.382 > t table 2.056 so that Ha was accepted, meanwhile H0 was rejected and. Therefore, it could be concluded that the role playing method influenced the class V students’ learning outcomes of SDN Pandeanlamper 03 Semarang.