Impact of low-load blood flow restriction training on knee osteoarthritis pain and muscle strength: a systematic review and meta-analysis of randomized controlled trials by Qiuxiang Lin, Qiuxiang Lin, Debiao Yu, Debiao Yu, Debiao Yu, Yuping Zhang, Xiaoting Chen, Jiawei Qin, Fuchun Wu, Fuchun Wu, Fuchun Wu

“…This systematic review and meta-analysis aim to comprehensively assess the effects of LL-BFRT compared to conventional resistance training on pain, muscle strength, and functional capacity in individuals with KOA.Data sourcesPubMed, Embase, Web of Science, EBSCO, Scopus, and Cochrane trails were searched.Study selectionWe included randomized controlled trials involving patients with KOA, in which the intervention group underwent LL-BFRT.Data extractionLiterature quality and risk of bias were assessed using the Physiotherapy Evidence Database (PEDro) scale and the Cochrane Risk-of-Bias Tool (ROB 2). …”
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Advances in the Endogenous and Exogenous Effects of Milk-derived Exosomes and Regulation of Intestinal Health by Yang PANG, Yi LI, Yue LUAN, Teng WANG, Qin WANG, Xiaoyun HE

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INFORMATION SUPPORT FOR CROWDFUNDING AND INVESTING PROJECTS by Julia Malieieva, Olga Malyeyeva, Anatolii Demchenko, Lidiia Piddubna

“…The following tasks are solved: research of functional possibilities of existing crowdfunding platforms; development and configuration of expansion modules for the selected framework; development of the interface of the financial manager of the project with real estate. …”
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Battery Management System: Threat Modeling, Vulnerability Analysis, and Cybersecurity Strategy by Shravan Murlidharan, Varsha Ravulakole, Jyothi Karnati, Hafiz Malik

“…Unauthorized access or tampering with the BMS can disrupt its fault response mechanisms, jeopardizing system performance and associated resources. Key cybersecurity strategies include intrusion detection systems (IDS), crypto-based authentication, secure firmware updates, and hardware-based security mechanisms such as trusted platform modules (TPMs). …”
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Remote Sensing Extraction of Damaged Buildings in the Shigatse Earthquake, 2025: A Hybrid YOLO-E and SAM2 Approach by Zhimin Wu, Chenyao Qu, Wei Wang, Zelang Miao, Huihui Feng

“…The dataset used for training contained labeled examples of damaged buildings, and the model optimization was carried out using stochastic gradient descent (SGD), with cross-entropy and mean squared error as the selected loss functions. Upon evaluation, the model reached a precision of 0.840, a recall of 0.855, an F1-score of 0.847, and an IoU of 0.735. …”
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A multi-parameters assessment method and prediction model for ground vibration under the high-speed railway bridge by Wenya Yuan, Baoxin Jia, Zhiyang Zhou, Jing Zhang, Puzhen An

“…Besides, an application example of environment vibration prediction was given, and the site selection distance threshold away from the high-speed railways of different types of environmental vibration function areas were determined. …”
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Enhancing epidemic preparedness: a data-driven system for managing respiratory infections by Moslem Sarani, Katayoun Jahangiri, Manoochehr Karami, Mohammadreza Honarvar

“…Results Key data categories include individual-level variables, such as age, symptoms, and vaccination records, alongside population-level metrics like infection rates and regional vaccination coverage enabling functionalities such as identifying high-risk individuals, tracking infection dynamics, and optimizing resource allocation. …”
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Microbial community structure and diversity of endophytic and rhizosphere of Cypripedium species in Changbai Mountains by Yuze Shan, Xi Lu, Shizhuo Wang, Hao Cong, Qi Wang, Jiahui Yu, Yiting Xiao, Nan Jiang, Lifei Chen, Yunwei Zhou

“…The diversity of rhizosphere fungi was higher than the diversity of endophytic fungi, C. shanxiense had the highest fungal community richness within four Cypripedium species and predicted that endophytic bacteria had reductive citrate cycle, 3-hydroxypropionate bicycle, and other functions. These endophytes comprise unique Cypripedium plants' microbial community structure in Changbai Mountain (China), providing a direction for further protecting wild Cypripedium resources. …”
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Proximate values and elemental analysis in wheat and soybean using inductively coupled plasma mass spectrometry by G. Kowmudi, V. Rashmi, K. Anoop, N. Krishnaveni, S. Naveen

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The Colonization of Synthetic Microbial Communities Carried by Bio-Organic Fertilizers in Continuous Cropping Soil for Potato Plants by Wenming Zhang, Shiqing Li, Pingliang Zhang, Xuyan Han, Yanhong Xing, Chenxu Yu

“…LEfSe analysis showed that the application of BOFs activated some rare species, which were correlated with improvements in the function categories of the tolerance of stress, nitrogen fixation, and saprotroph functions. …”
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BRDF Correction in Landsat Directional Reflectance Data by Combining Optimal BRDF Archetype With Spectral Characteristics by Aojie Shen, Jie Shao, Xin Qi, Zhongzheng Zhu, Yujie Dai, Qi Zeng

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Deep learning approach for automated hMPV classification by Sivarama Prasad Tera, Ravikumar Chinthaginjala, Irum Shahzadi, Priya Natha, Safia Obaidur Rab

“…Despite its clinical relevance, hMPV poses diagnostic challenges due to its symptom similarity with other respiratory illnesses, such as influenza and respiratory syncytial virus (RSV), and the lack of specialized detection systems. Traditional diagnostic methods are often inadequate for providing rapid and accurate results, particularly in low-resource settings. …”
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Analysis of China’s High-Speed Railway Network Using Complex Network Theory and Graph Convolutional Networks by Zhenguo Xu, Jun Li, Irene Moulitsas, Fangqu Niu

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DETERMINING STUDENT GRADUATION BASED ON SCHOOL LOCATION USING GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION by Hendra Perdana, Neva Satyahadewi, Fritzgerald Muhammad Arsyi

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Credit Rationing Equilibrium Achievement in the Conditions of Digitalization by O. V. Lunyakov

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Forest age estimation using UAV-LiDAR and Sentinel-2 data with machine learning algorithms- a case study of Masson pine (Pinus massoniana) by Jinjin Chen, Xuejian Li, Zihao Huang, Jie Xuan, Chao Chen, Mengchen Hu, Cheng Tan, Yongxia Zhou, Yinyin Zhao, Jiacong Yu, Lei Huang, Meixuan Song, Huaqiang Du

“…Therefore, monitoring forest age is a crucial element of forest resource surveys. With the increased availability of high-quality open-access satellite data and advancements in Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR) technology, remote sensing has emerged as an essential method for acquiring accurate forest age information. …”
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Combining Transcriptome Analysis and Comparative Genomics to Identify Key Components of the Lignin Biosynthesis Gene Network in <i>Sorghum bicolor</i> by Hao Niu, Yanbo Wang, Ruizhen Liu, Xiaoqiang Cheng, Yao Wang, Yubin Wang, Xin Lv, Fangfang Fan, Lan Ju, Jianqiang Chu, Haisheng Yan, Hongru Wang, Hetan Chang, Yancong Zhang, Yongfu Tao, Junai Ping

“…Sequence analysis revealed a significant reduction in genetic diversity across lignin biosynthesis genes in cultivated sorghum compared to wild sorghum. Moreover, selection signals during domestication were identified in 30 lignin biosynthesis genes, 22 of which were differentially expressed, further supporting the functional relevance of these differentially expressed genes in lignin biosynthesis. …”
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The prognostic and therapeutic significance of polyunsaturated fatty acid‐derived oxylipins in ST‐segment elevation myocardial infarction by Zhiyong Du, Yingyuan Lu, Ying Ma, Yunxiao Yang, Wei Luo, Sheng Liu, Ming Zhang, Yong Wang, Lei Li, Chun Li, Wei Wang, Hai Gao

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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…This is evidenced by small changes in the loss function at the end of training. The segmentation performed by the model turned out to be close to manual marking, which indicated the high quality of the proposed solution. …”
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Integrated Transcriptomic and Physiological Analysis Reveals the Drought Adaptation Strategies of <i>Sapindus delavayi</i>, an Important Tree for Industrial Use in the Dry–Hot Vall... by Xinyu He, Meng Xie, Lan Wang, Liangjun Yu, Fengjuan Li, Hong Ma

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