Implantable bio-chip for visible and controllable microwave-induced transcranial acoustic generation by Weian Chao, Ruyi Wen, Yubin Gong, Qiang Liu, Lei Xi

“…The results of in vitro and in vivo experiments show that the MI-tAG can manipulate ultrasound sources and visibly locate them in real time. This study provides a potential innovative approach for future ultrasound neuromodulation, inspiring the development of more useful methods to advance brain research. …”
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Advances in the extracellular vesicles treatment of alopecia by Xiaoxin Wu, Songjia Tang

“…However, further research is needed to optimize key factors, such as dosing, cell sources, and administration frequency to develop more effective and safer therapies. …”
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State and Challenges for the Development of Cooperation in Science and Technology between Russia and China by I. V. Danilin

“…Purpose: the main purpose of this article is to analyze the state and prospects of science and technology (S&T) cooperation between the Russian Federation and the PRC in the context of the global S&T cooperation trends.Methods: research is based on a combination of desk and field methods. …”
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MODERN ASSORTMENT, PROPERTIES AND PERSPECTIVES OF MEDICAL DRESSINGS IMPROVEMENT OF WOUND TREATMENT by A. V. Mayorova, B. B. Syisuev, I. A. Hanalieva, I. V. Vihrova

“…The aim of the study was the literature review on the effective wound treatment with the help of modern dressings, including their assortment and prospects for improvement. Materials and methods. The materials of the study were reliable literary sources containing information about wounds, pathogenesis, the stages of the wound process and its possible violations; the assortment of modern wound coverings and the composition of biologically active substances that have a pharmacological effect; the results of preclinical and clinical trials and their prospects of use in aesthetic medicine. …”
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Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review by Lisiane Pruinelli, Kiruthika Balakrishnan, Sisi Ma, Zhigang Li, Anji Wall, Jennifer C. Lai, Jesse D. Schold, Timothy Pruett, Gyorgy Simon

“…Aim To identify and analyze data elements used in Machine Learning (ML) and Artificial Intelligence (AI) methods, data sources, and their focus on urgency, utility, or benefit in LT. …”
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Mapping the evidence on factors related to postpartum contraception among sub-Saharan African immigrant and refugee women in the United States of America: A scoping review protocol... by Comfort Z Olorunsaiye, Mariam A Badru, Augustus Osborne, Hannah M Degge, Sanni Yaya

“…We will use narrative synthesis to analyze the data using quantitative and qualitative methods. Factors associated with postpartum contraception will be organized using the domains and constructs of the PEN-3 Model as a guiding framework.…”
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Systemic reviews and meta-analysis of the use of midodrine in hepatorenal syndrome by Prem Balaji Reddy Lankapothu, Shrinidhi B., Satish Kumar M., Magesh Kumar S.

“…The protocol specified the search strategy, selection criteria, and data extraction methods for transparency. Data sources. Articles were sourced from Google Scholar and PubMed using inclusion and exclusion criteria. …”
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Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques by Muhamad Ashfaq, Imran Khan, Rana Fezan Afzal, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…This study presents a comparative analysis of AI-based approaches against conventional methods, demonstrating their superiority in three key areas: (1) improved computational efficiency through optimized learning architectures, (2) enhanced spatial generalizability by capturing complex, nonlinear patterns, and (3) greater prediction stability under varying conditions. …”
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Depression screening and patient outcomes in cancer: a systematic review. by Anna Meijer, Michelle Roseman, Katherine Milette, James C Coyne, Michael E Stefanek, Roy C Ziegelstein, Erin Arthurs, Allison Leavens, Steven C Palmer, Donna E Stewart, Peter de Jonge, Brett D Thombs

“…The objective was to evaluate the potential benefits of depression screening in cancer patients by assessing the (1) accuracy of depression screening tools; (2) effectiveness of depression treatment; and (3) effect of depression screening, either alone or in the context of comprehensive depression care, on depression outcomes.<h4>Methods</h4>Data sources were CINAHL, Cochrane, EMBASE, ISI, MEDLINE, PsycINFO and SCOPUS databases through January 24, 2011; manual journal searches; reference lists; citation tracking; trial registry reviews. …”
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On the nature and driving forces of the Christianization of the population of the Mordovian region in the second half of the XVI – first third of the XVIII century by S. V. Pershin, E. N. Bikeikin, G. A. Kursheva, T. M. Guseva

“…In addition to general scientific methods, problem-chronological and historical-systemic research methods turned out to be optimal for considering ethno-confessional issues in the context of socio-economic development. …”
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Characterizing modifications to the mental health gap action programme (mhGAP) intervention guide during implementation in low- and middle-income countries using the framework for... by Harikeerthan Raghuram, Akanksha Jayant Rajguru, Mythili Menon Pathiyil, Aakrushi Brahmbhatt, Anant Bhan, Jessica Spagnolo, John A. Naslund

“…Strengthening frameworks like FRAME can improve reporting, optimize resources, and enhance implementation and scale-up in similar contexts.…”
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Multimodal machine learning for analysing multifactorial causes of disease—The case of childhood overweight and obesity in Mexico by Rosario Silva Sepulveda, Magnus Boman, Magnus Boman

“…The unsupervised pipeline used traditional methods with k-Means and hierarchical clustering, with the optimal number of clusters calculated to be k = 2.ResultsThe decision tree classifier in the supervised early fusion approach produced the best quantitative results. …”
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Energy-Oriented Economic Evaluation of Phase Shifters Utilizing Risk-Adjusted Lifecycle Cost Analysis by Hui Cai, Wanchun Qi, Zhuyi Peng, Jie Zou, Wentao Sun, Ying Zhu, Xingning Han

“…The assessment employs probability distributions and Monte Carlo simulation methods to analyze their economic performance, considering key energy-related cost factors such as initial investment, operational efficiency, maintenance, and decommissioning. …”
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Exploration of Key Factors in the Preparation of Highly Hydrophobic Silica Aerogel from Rice Husk Ash Assisted by Machine Learning by Yun Deng, Ziyan Sha, Xingxing Wang, Ke Duan, Weijie Xue, Ian Beadham, Xiaolan Xiao, Changbo Zhang

“…To expand the applications of hydrophobic silica aerogels derived from rice husk ash (HSA) through simple traditional methods (without adding special materials or processes), this paper employs machine learning to establish mathematical models to identify optimal conditions for extracting water glass and investigates how preparation conditions and heat treatment temperatures affect properties such as the porosity and hydrophobicity of HSA. …”
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Constructing Applied Knowledge in Nursing Students: A Learning Experience Centered on Evidence-Based Practice by Judith García-Expósito, Glòria Tort-Nasarre, Alba Torné-Ruiz, Judith Roca, Sara Esqué, Montserrat Sanromà-Ortíz

“…Aim: The aim of this study was to explore a learning experience centered on evidence-based practice through cooperative learning in an online discussion forum with nursing students. <b>Methods:</b> We employed a descriptive qualitative study with the participation of 137 nursing students. …”
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The efficacy of infrared diode laser in enhancing the regenerative potential of human periodontal ligament stem cells (hPDLSCs) by Mohamed M. Abo El-Dahab, Ghada Nour El Deen, Mahmoud Shalash, Mostafa Gheith, Ahmed Abbass, Riham M. Aly

“…Abstract Background The present study aimed to investigate the effects of infrared diode laser irradiation on the proliferation and differentiation capacity of periodontal ligament stem cells (hPDLSCs), which are optimal cell sources for periodontal regeneration. …”
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Hybrid framework for improved PM2.5 prediction based on seasonal-trend decomposition and tailored component processing by Dongbao Jia, Wenjun Ruan, Rui Ma, Shiwei Zhao, Yichen Wang, Wei Xu, Weijie Zhou, Xinxin Ge, Zhongxun Xu

“…However, accurately forecasting PM2.5 levels presents significant challenges due to the complex, non-linear, and non-stationary characteristics inherent in the PM2.5 concentration data, which are influenced by diverse meteorological conditions, emission sources, and atmospheric transport dynamics. Existing prediction methods often struggle to adequately capture these multifaceted patterns simultaneously; single models may fail to address both long-term trends and seasonal variations as well as short-term stochastic fluctuations, while many hybrid decomposition approaches may not optimally utilize techniques suited to the distinct nature of each decomposed component, thereby limiting potential accuracy improvements. …”
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Catalytic Approaches for CO2 Conversion to Value‐Added Products: An Overview of Life Cycle Assessment Studies by Anastasia Pappa, Cuong Pham‐Huu, Spiros Papaefthimiou, Spyridon Zafeiratos

“…It is highlighted that despite the widely recognized advantages of CO2‐based processes, the environmental benefits cannot be guaranteed, while the carbon intensity of the electricity source used significantly affects the outcomes. The review identifies possible improvement strategies associated with electricity sources, CO2 capture methods, catalytic processes, and H2 production pathways, as the electrification of the chemical sector shows great potential for enormous greenhouse gas (GHG) emission mitigation despite the emerging challenges.…”
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An intelligent Cuk-Luo fused DC-DC converter for standalone hybrid renewable energy system’s peak load power management by Praveen Kumar Balachandran, S. Vijaya Madhavi, Koganti Srilakshmi, Sravanthy Gaddameedhi, Ramprasad Vangalapudi, Abhinav Kumar, Shitharth Selvarajan

“…A mathematical model is developed to analyse stability challenges and design an optimal controller for the DC-DC converter. To efficiently manage power distribution from the input sources, two innovative control methods are introduced: an embedded controller and an online duty cycle estimator. …”
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Diagnostic potential of gut microbiota in Parkinson’s disease by V. A. Petrov, V. M. Alifirova, I. V. Saltykova, I. A. Zhukova, N. G. Zhukova, Yu. B. Dorofeeva, O. P. Ikkert, M. A. Titova, Yu. S. Mironova, A. E. Sazonov, M. R. Karpova

“…The gut microbiota is one of the potential sources of biomarkers, changes in the composition of which in PD are actively studied.The aim of this study is to identify microbiota biomarkers in the Parkinson’s disease with an estimated accuracy of the diagnostics, including differential diagnostics, relative to other neurological diseases for patients of the Russian population.Material and methods. …”
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