Effectiveness of Single-Person Reset Fixed System for Pediatric Supracondylar Humeral Fractures: Case Series and a Meta-Analysis by Di Shen, Manman Cui, Qiang Fu, Jiajia Lu, Xiaojian Shi

“…Objective This study examined the feasibility and effectiveness of utilizing the single-person reset fixed system (RFS) for treating pediatric supracondylar humeral fractures (SHFs) to enhance surgical efficiency and reduce manpower requirements.Methods A retrospective analysis of 10 pediatric SHF cases treated with the Single-Person RF was conducted from 2022 to 2023. …”
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Quantifying Watershed Protection Potential and Determining Impact Mechanisms in the Shiyang River System Using Hybrid Land Use-Hydrology Modeling by Cao Jinjun, Ren Zhiwei, Li Haohao

“…This research provides a visual tool for evaluating the efficient use and conservation of water resources and for enhancing water source preservation functions…”
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Optimization of the flow guiding fins configuration and tube arrangements in a shell and tube heat exchanger: coupling response surface methodology and CFD by Xiangmin Shao, Ali Marzban, Farzad Pourfattah, Omid Ali Akbari, Gholamreza Ahmadi, Nafiseh Emami, Soheil Salahshour

“…In both laminar and turbulent flow regimes, the objective functions include the maximum heat transfer and the minimum pressure drop. …”
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Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition by Marjan Kordani, Mohsen Bagheritabar, Iman Ahmadianfar, Arvin Samadi-Koucheksaraee

“…Statistical metrics confirmed that the proposed OMVMD-GRKR model, concerning the best efficiency in the Ahvaz (R = 0.987, RMSE = 0.761, and U95% = 2.108) and Molasani (R = 0.963, RMSE = 1.379, and U95% = 3.828) stations, outperformed the OMVMD and simple-based methods such as ridge regression (Ridge), least squares support vector machine (LSSVM), deep random vector functional link (DRVFL), and deep extreme learning machine (DELM). …”
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Compositional and nutritional value of lupin cultivars: Identifying high-protein seeds for enhanced protein isolate production and phytochemical valorisation by Pau Taberner-Pibernat, Albert Ribas-Agustí, Gisela Quinteros, Gerard Sabeña, Miguel López-Gómez, Rubén Domínguez-Valencia, Ricard Bou

“…The findings revealed significant inter- and intra-species variability in protein, total dietary fibre, and fat content among the studied cultivars. …”
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Optimized Temporal Interference Stimulation Based on Convex Optimization: A Computational Study by Chao Geng, Yang Li, Long Li, Xiaoqi Zhu, Xiaohan Hou, Tian Liu

“…CVXTI accommodates various optimization objectives by incorporating different objective functions, thereby enhancing the focality of the stimulation field. …”
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Radiotherapy-induced fatigue in Palestinian breast cancer survivors by Hussein ALMasri, Omar Rimawi

“…Our purpose is to assess, compare, and correlate CRF in breast cancer survivors undergoing radiotherapy (RT) with study variables.Methods: CRF in breast cancer survivors was assessed using Functional Assessment of Chronic Illness Therapy – Fatigue Scale (FACIT-F) (version 4). …”
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Microbially‐Mediated Soil Carbon‐Nitrogen Dynamics in Response to Future Soil Moisture Change by Wanyu Li, Gangsheng Wang, Zirui Mu, Shanshan Qi, Shuhao Zhou, Daifeng Xiang

“…Furthermore, microbes and enzymes were key drivers of soil C‐N transformations, with soil enzymes displaying the highest correlation with SSI (nonlinear correlation coefficient based on mutual information = 0.81). This study establishes a foundational relationship between soil C‐N variables and soil moisture, accounting for lag effects, to enhance our understanding of the complex responses of these variables under future climate change scenarios.…”
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Development of a New Equation for the Prediction of Resting Metabolic Rate in Sri Lankan Adults by Pathima Fairoosa, Pulani Lanerolle, Maduka De Lanerolle-Dias, V. Pujitha Wickramasinghe, Indu Waidyatilaka

“…A variable shrinkage method was used to find the best fit predictor coefficients of the equation. …”
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A comprehensive review on the integration of artificial intelligence in friction stir welding for monitoring, modelling, and process optimization by Mostafa Akbari, Ezatollah Hassanzadeh, Yaghuob Dadgar Asl, Amirhossein Moghanian

“…The second section examines process control, emphasizing how AI systems enable real-time monitoring and adaptive control of the welding process. This functionality allows for immediate parameter adjustments, thus significantly improving weld consistency and quality by minimizing defects. …”
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The Effect of Ohmic, High-Pressure Carbon Dioxide (HPCD), and Maceration Extraction methods on Bioactive Compounds of Iranian Brown Algae (Nizimuddinia zanardini) by Atefe Taherkhani, Akram Sharifi, Mohammed Koubaa

“…Marine algae are a rich source of bioactive compounds with promising applications as nutrients, functional food ingredients, and therapeutic agents. …”
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Deep Transfer Learning-Based Performance Prediction Considering 3-D Flux in Outer Rotor Interior Permanent Magnet Synchronous Motors by Moo-Hyun Sung, Soo-Hwan Park, Kyoung-Soo Cha, Jae-Han Sim, Myung-Seop Lim

“…Accurate performance prediction in the design phase of permanent magnet synchronous motors (PMSMs) is essential for optimizing efficiency and functionality. While 2-D finite element analysis (FEA) is commonly used due to its low computational cost, it overlooks important 3-D flux components such as axial leakage flux (ALF) and fringing flux (FF) that affect motor performance. …”
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Elevator Control Simulation Using Fuzzy Logic Management by Mehr Ali Qasimi, Asmatullah Nashir

“…Detent force, one issue with stabilization systems, will be examined in terms of how well it functions under a fuzzy logic controller using a nonlinear test like  changes in load and distance to obtain a policy suitable for application in the industrial sector or other human endeavors. …”
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Geospatial Multi-User Channel Condition Interpolation for Instantaneous Sporadic Transmission and CSI Feedback Overhead Reduction in 5G and Beyond by Jasna Jankovic, Zeljko Ilic, Gordan Sisul

“…Next-generation networks look for innovative solutions to enable new service functionalities while increasing the system efficiency. …”
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Can digital transformation improve the transparency and accountability of Indonesian public governance? by M. Irwan Tahir, Ani Martini, Anak Agung Ngurah Gunawan, Yogi Makbul, Nirma Yossa, Wisber Wiryanto, Moch Fahrudin, Rahmat Ilya

“…Public administration can increase transparency, efficiency, public participation and data-based decision-making. …”
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MODELING THE IMPACT OF THE TRANSPORT PROVISION OPTION ON PROJECT RISKS by Svitlana Rusanova

“…The aim of the study is to improve the efficiency of project management processes by identifying and formalizing the risks associated with the transportation of the project. …”
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A Robust Adaptive Strategy for Diesel Particulate Filter Health Monitoring Using Soot Sensor Data by Bilal Youssef

“…This study investigates an advanced diagnostic strategy to assess particulate filter health based on resistive soot sensors and available engine variables. The sensor data are projected to generate a 2D signature that reflects the changes in filtration efficiency. …”
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Sustainable extraction of bioproducts from cactus pear waste: Economic viability and market opportunities in a green economy by Giuseppe Timpanaro, Vera Teresa Foti

“…These findings suggest that while the project is economically feasible, managing supply chain variability and optimising energy consumption are critical for long-term sustainability. …”
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Feasibility and psychometric quality of smartphone administered cognitive ecological momentary assessments in women with metastatic breast cancer by Ashley M Henneghan, Emily W Paolillo, Kathleen M Van Dyk, Oscar Y Franco-Rocha, Soyeong Bang, Rebecca Tasker, Tara Kaufmann, Darren Haywood, Nicolas H Hart, Raeanne C Moore

“…Test-retest reliability was examined using intraclass correlation coefficients (ICCs) for each EMA, and Pearson's correlation were used to evaluate convergent validity between cognitive EMAs and baseline clinical cognitive and psychosocial variables. …”
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Vanadium remediation from polluted wastewater using a novel non-conventional adsorbent by Manar Banwan Hasan, Suha Anwer Ibrahim, Nisreen Mizher Rahmah, Thekra Atta Ibrahim, Alaa Hani Alminshid, Mohammed Nsaif Abbas

“…The obtained results indicated that the vanadium recovery efficiency reached 81 % and was in direct proportion to the pH, agitation speed, and contact time, and inversely with other variables, while adsorption capacity reaching 0.1 mg/g. …”
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