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

“…The primary variables of interest were surgical time, fluoroscopy frequency, postoperative outcomes, and complication ratesResults All patients achieved successful single-stage surgical reduction and fixation without additional surgeries. …”
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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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Adsorption of Cd (II) Using Chemically Modified Rice Husk: Characterization, Equilibrium, and Kinetic Studies by Javier Montalvo-Andía, Warren Reátegui-Romero, Alexis D. Peña-Contreras, Walter F. Zaldivar Alvarez, María E. King-Santos, Víctor Fernández-Guzmán, José Luis Guerrero-Guevara, Jhon E. Puris-Naupay

“…In optimal experimental conditions, the maximum adsorption efficiency was 92.65%. Fourier-transform infrared spectroscopy (FTIR) and scanning electron microscope (SEM) were used allowing the identification of the main functional groups and morphology of rice husk and treated rice husk, and the results showed an improvement of adsorption characteristics after rice husk treatment with NaOH. …”
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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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Optimization of medium components for the production of exopolysaccharide by Lycoperdon pyriforme Schaeff.: Pers. using response surface methodology by MA Xiaokui, JIANG Hua, LI Junzhi, CHEN Yong, HE Xiaojing

“….: Pers. is one of medicinal macro-fungi, which has become an attractive topic as a functional food and as a source for the development of drugs and nutraceuticals. …”
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Elevator Control Simulation Using Fuzzy Logic Management by Mehr Ali Qasimi, Asmatullah Nashir

“…Within a set of fuzzy rules, three important linguistic variables are added to improve the performance of the elevator group. …”
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Effect of design and kinematic parameters on energy requirement in inclined screw mixer by V. F. Khlystunov, S. V. Braginets, A. S. Alferov, M. V. Chernutskiy

“…The establishment of functional dependences between parameters and modes enables to design power-efficient equipment for the on-farm feed production.Materials and Methods. …”
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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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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

“…This study investigates the operational efficiency of the lab-scale oxidation ditch (OD) functioning in simultaneous nitrification and denitrification modes, focusing on forecasting biochemical oxygen demand (BOD₅) concentrations over a five-day horizon. …”
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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

“…Further research should explore alternative biomass sources and innovations in extraction efficiency to ensure continuous production and cost reductions.…”
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Assessing motor control and movement quality in patients with non-specific low back pain: a scoping review and development of an ICF-based conceptual framework by Kerstin Luedtke, Agnes Sturma, Georg Pfluegler, Meike Klinger, Clemens Ley, Beate Schüßler

“…A conceptual framework was constructed, consisting of five International Classification of Functioning, Disability and Health-based broad motor control functions and 10 movement quality domains, namely flexibility, stability, accuracy, symmetry, speed, smoothness, adaptability, variability, efficiency and coordination.Conclusion The provided conceptual framework for motor control functions and movement quality domains can serve as a structural foundation for future research on the content validity of assessment approaches in the context of LBP.…”
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SDKU-Net: A Novel Architecture with Dynamic Kernels and Optimizer Switching for Enhanced Shadow Detection in Remote Sensing by Gilberto Alvarado-Robles, Isac Andres Espinosa-Vizcaino, Carlos Gustavo Manriquez-Padilla, Juan Jose Saucedo-Dorantes

“…SDKU-Net integrates dynamic kernel adjustment, a combined loss function incorporating Focal and Tversky Loss, and optimizer switching to effectively tackle class imbalance and improve segmentation quality. …”
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Changes in AXL and/or MITF melanoma subpopulations in patients receiving immunotherapy by M. Willemsen, J. Bulgarelli, S.K. Chauhan, R.R. Lereim, D. Angeli, G. Grisendi, G. Krebbers, I. Davidson, J.A. Kyte, M. Guidoboni, R.M. Luiten, W.J. Bakker

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Field Testing of a Smart Geomat Based on Fiber Optic Sensors and Sensor Fusion for Levee Monitoring by Manuel Bertulessi, Francesca Ceccato, Francesco Ioli, Federico Barbieri, Livio Pinto, Paolo Simonini, Giovanni Menduni

“…ABSTRACT Real‐time monitoring of the functionality of river embankments, especially during flood events, is an increasingly important topic in the new scenario outlined by climate change. …”
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Cumulative Distribution-Based Method for Pavement Performance Modeling by Chenhao Tu, Wenya Ye, Rui Zhang, Xudong Qian, Qun Yang

“…A continuous distribution function is created from a limited set of discrete observed field pavement condition data using the sampling theorem. …”
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Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction by Yujie Shen, Shuxia Ye, Yongwei Zhang, Liang Qi, Qian Jiang, Liwen Cai, Bo Jiang

“…To solve the problem of insufficient accuracy in the single surrogate model, this study proposes a CBR surrogate model that integrates convolutional neural networks with backpropagation and radial basis function models. The coordinates of the control points of the NURBS surface at the bulbous bow are taken as the design variables. …”
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