SOCIO-ECONOMIC AND POLITICAL-LEGAL ASPECTS OF POST-CRISIS MIGRATION by M. L. Galas

“…To achieve the goal, the author posed the following tasks: 1) the review of labor, capital, financial and other resources of the migration donor regions in the context of optimizing management decisions on the regulation of migration processes over the territory of the Russian Federation with a focus on individual economic sectors and occupational skill characteristics; 2) the study of migration processes in the labor market in accordance with indices established by the Russian Rules for Labor Market Monitoring; 3) the study of the migration activity in the DPRK and the PRC compared with political and legal decisions of local and central authorities of the Russian Federation in demographically unstable regions of the Far East and Siberia; 4) assessing the prospects for Russian investments in migration donor countries to level migration flows on financial and economic conditions favorable for the recipient country; 5) systematization of mechanisms for managing the goal setting for migration flows and attracting foreign workers in priority occupational skill groups in line with the Russian economy demands and the public consent interests. …”
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A systematic review of alterations in sensorimotor networks following stroke: implications for integration and functional outcomes across recovery stages by Nur Shaheera Aidilla Sahrizan, Noorazrul Yahya, Zhe Kang Law, Wan Asyraf Wan Zaidi, Umi Nabilah Ismail, Naela Himayati Afifah, Amirul Azri, Hanani Abdul Manan, Hanani Abdul Manan

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Biobased Organic Nanoparticles: A Promising Versatile Green Tool for Novel Antimicrobial Agents for Improved Safety by Edith Dube, Grace Emily Okuthe

“…Their antimicrobial effects include disrupting microbial membranes, generating reactive oxygen species, and interfering with essential cellular processes, making them effective even against drug-resistant pathogens. …”
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Analysis of Current State of SWAT Model Research Based on Bibliometrics by DU Bailin, WU Lei

“…In order to gain insights into the latest advancements,focal areas,and future directions in SWAT model research,this paper conducted a bibliometric analysis of its applications in eco-hydrological modeling by using the Web of Science^TM core database and the VOSviewer visualization software.The findings reveal that from 2000 to 2022,there has been a general increase in publications related to the SWAT model.Research efforts have primarily concentrated on three main areas:firstly,the hydrological simulation applications of the SWAT model to enhance scientific water resource management;secondly,investigations into the mechanisms of hydrological responses to climate and human activities,offering theoretical support for flood disaster prediction and response;lastly,studies on water quality simulation and optimal management strategies,providing theoretical foundations for the prevention and control of agricultural non-point source pollution.The distribution of research teams has shifted from concentrated to more dispersed.Future SWAT research will prominently focus on water resource management,hydrological response processes,and water quality simulation.…”
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Sustainable Agriculture: The Role of Biostimulants in Enhancing Crop Growth and Resilience by Hasddin Hasddin, , Ulyasniati , Ulyasniati

“…By activating plant processes, these biologically generated compounds improve nutrient uptake, root development, and stress tolerance. …”
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The global proteome of Streptococcus pneumoniae EF3030 under nutrient-defined in vitro conditions by Supradipta De, Larissa M. Busch, Gerhard Burchhardt, Manuela Gesell Salazar, Rabea Schlüter, Leif Steil, Uwe Völker, Sven Hammerschmidt

“…We, therefore optimized a chemically defined minimal medium that mimics the nutrient-limited conditions of the human nasopharynx. …”
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Automatic Quality Assessment of Speech-Driven Synthesized Gestures by Zhiyuan He

“…We noticed that recurrent neural networks (RNN) have advantages in modeling advanced spatiotemporal feature sequences, which are very suitable for use in the processing of synthetic gesture video data. Therefore, to build an automatic quality assessment system, we propose in our work a model based on Bi-LSTM and make a little adjustment on the attention mechanism in it. …”
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Research on Lightweight Dynamic Security Protocol for Intelligent In-Vehicle CAN Bus by Yuanhao Wang, Yinan Xu, Zhiquan Liu, Suya Liu, Yujing Wu

“…To address these issues, we propose an improved dynamic compression algorithm that achieves higher compression rates and efficiency by optimizing header information processing during data reorganization. …”
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Waiting Time Distribution of Supra-arcade Downflows by Zichao Yang, Rui Liu

“…These results rule out linear random or quasiperiodic processes to be responsible for the generation of SADs but suggest that several nonlinear mechanisms be coupled together in the reconnection outflow region to shape the heavy-tailed WTD of SADs.…”
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Multifaceted applications of dye-saturated biochar: Agronomic amelioration, thermochemical valorization, and catalytic efficacy in advanced environmental remediation paradigms by Sandra Ramachandran, Anshuman Gupta, Neelaambhigai Mayilswamy, Amrita Nighojkar, Balasubramanian Kandasubramanian

“…Furthermore, the secondary applications of dye-saturated biochar, including its use as a soil amendment to enhance microbial activity and nutrient retention, its valorization as a high-calorific energy source, and its role as a catalyst in advanced oxidation processes, are systematically explored. The review identifies key limitations, such as feedstock variability, competing ions in wastewater, and energy-intensive production processes, and proposes strategies for optimizing biochar synthesis and functionalization. …”
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Time-scale effects on runoff simulation and parameters sensitivity using SWAT model by Liqun Yu, Xingwei Chen, Weifang Ruan, Huaxia Yao, Jiao Chen, Haijun Deng, Ying Chen, Meibing Liu

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Advancing carbon capture with bio-inspired membrane materials: A review by W. Rahmah, K. Khoiruddin, I.G. Wenten, S. Kawi

“…Despite these promising attributes, bio-inspired membranes face significant challenges such as loss of mobile carriers, inadequate compatibility between polymeric matrices and facilitating agents, and difficulties in scaling up due to complex fabrication processes. These challenges underscore the need for continued research to optimize membrane design and functionality, ensuring their viability for large-scale implementation. …”
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Neural stem cell-derived small extracellular vesicles: a new therapy approach in neurological diseases by Mengyao Wang, Mengyao Wang, Dongdong Chen, Dongdong Chen, Renjie Pan, Renjie Pan, Yue Sun, Yue Sun, Xinyu He, Xinyu He, Youming Qiu, Youming Qiu, Yuexin Hu, Yuexin Hu, Xiangsheng Wu, Xiangsheng Wu, Xuxiang Xi, Xuxiang Xi, Rong Hu, Rong Hu, Zhigang Jiao, Zhigang Jiao, Zhigang Jiao, Zhigang Jiao, Zhigang Jiao

“…In the context of neurological diseases, transplantation of NSCs has been shown to facilitate neurological repair through paracrine mechanisms. NSC-derived small extracellular vesicles (NSC-sEVs), a prominent component of the NSC secretome, play a crucial role in modulating various physiological and pathological processes, such as regulating the NSC microenvironment, promoting endogenous NSC differentiation, and facilitating the maturation of neurons and glial cells. …”
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Development and Application of a New Convective Entrainment Rate Parameterization for Improving Precipitation Simulation Over the Tibetan Plateau and Its Surrounding Areas by Junjun Li, Chunsong Lu, Jinghua Chen, Jian Li, Jing Yang, Xiaoqi Xu, Lei Zhu, Xin He, Shiying Wu

“…Third, in terms of cloud microphysics, the increased entrainment rate reduces the cloud water content and weakens the intensity of convective precipitation. All of these mechanisms ultimately reduce the accumulated convective precipitation amount, providing an optimized modeling tool for weather and climate research over TP, which also aids in better assessing the water cycle and water resource reserves of the “Asian Water Tower.”…”
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Exploring the multifaceted dynamics of flowering time regulation in field crops: Insight and intervention approaches by Yogesh Dashrath Naik, Rajeev N. Bahuguna, Pedro Garcia‐Caparros, Rebecca S. Zwart, M. S. Sai Reddy, Reyazul Rouf Mir, Uday Chand Jha, B. Fakrudin, Manish K. Pandey, Dinakar Challabathula, Vinay Kumar Sharma, Umesh K. Reddy, Chanda Venkata Sameer Kumar, Venugopal Mendu, P. V. Vara Prasad, Somashekhar M. Punnuri, Rajeev K. Varshney, Mahendar Thudi

“…Abstract The flowering time (FTi) plays a critical role in the reproductive success and yield of various crop species by directly impacting both the quality and quantity of grain yield. Achieving optimal FTi is crucial for maximizing reproductive success and ensuring overall agricultural productivity. …”
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Arbuscular Mycorrhizal Fungi-Assisted Phytoremediation: A Promising Strategy for Cadmium-Contaminated Soils by Shaopeng Zhao, Lei Yan, Muhammad Kamran, Shanshan Liu, Muhammad Riaz

“…This review aims to highlight the current understanding of the mechanisms by which AMF alleviate Cd toxicity in plants. …”
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Exploring research trends in cancer immunotherapy via single-cell technologies: a scientometric perspective by Zhongxun Li, Zhongxun Li, Qi Han, Qi Han, Zimu Huang, Sen Zhang, Huina Guo, Huina Guo, Hongliang Liu, Hongliang Liu, Hongliang Liu, Xiaoya Guan, Xiaoya Guan, Hairong Li, Chunming Zhang, Chunming Zhang, Chunming Zhang

“…As single-cell analysis technology develops rapidly, it provides an innovative research approach to investigate immunotherapy mechanisms, to identify potential biomarkers, and to optimize individualized treatment strategies.MethodsThe Core Collection of Web of Science (WOSCC) was used to retrieve and obtain relevant literature related to “application of single cell sequencing in cancer immunotherapy” since the establishment of the WOSCC. …”
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Deep vision-based real-time hand gesture recognition: a review by Cui Cui, Mohd Shahrizal Sunar, Goh Eg Su

“…Recently, the emergence of deep learning has ameliorated these issues, convolution neural network (CNN) enhanced edge clarity, long-short term memory (LSTM) improved rotation accuracy, and attention mechanism optimized response time. In this context, this review starts with the deep learning models, specifically CNN, LSTM, and attention mechanisms, which are compared and discussed from the utilization rate of each, their contribution to improving accuracy or efficiency, and their role in the recognition stage, like feature extraction. …”
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Evaluation of Microwave Heating Uniformity for Ready-to-Eat Rice in Metalized Packaging Structure by Chai Liu, Bo Tian, Huiran Liu, Liuyang Shen, Yong Zhu, Chenghai Liu, Xianzhe Zheng, Xiting Deng, Yuxin Zhao

“…The reasonable utilization of microwave energy inside the processed material may enhance the uniformity of the temperature distribution. …”
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Synergistic Integration of HDAC Inhibitors and Individualized Neoantigen Therapy (INT): A Next-Generation Combinatorial Approach for Cancer Immunotherapy by Rui Han, Huiling Zhou, Baoqing Peng, Shasha Yu, Jiajie Zhu, Jiaojiao Chen

“…HDACis also upregulate MHC class I and II molecules, enhance the antigen processing machinery, improve MHC—I complex stability, and remodel the tumor immune microenvironment. …”
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