Numerical Simulation and Optimization of Water Hammer Protection Schemes for Long-Distance Gravity-Pressurized Water Conveyance Systems by HUANG Wei, LIAO Chen-xi, HUANG Xin, GU Ping, LIU Bin, HUANG Zi-yang

“…The hydraulic characteristics of such systems are more complex than those of pure gravity-driven systems. …”
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Machine Learning Methods of Providing Informational Management Support for Students’ Professional Development by I. G. Zakharova

“…It was shown how this differentiation, based on the complex of previously selected dynamic indicators characterising the changes of professional vocabulary, expands the possibilities for diagnostics and forecasting of professional growth of students. …”
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Named Entity Recognition in Aviation Products Domain Based on BERT by Mingye Yang, Bernadin Namoano, Maryam Farsi, John Ahmet Erkoyuncu

“…This paper proposes a new Named Entity Recognition (NER) method specifically tailored for the aviation product field (BBC-Ap), introducing an innovative approach that leverages domain-specific ontologies and advanced deep learning algorithms to significantly enhance the accuracy and efficiency of entity extraction from complex technical documents. …”
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Network control theory uncovers aberrant connectome controllability in trigeminal neuralgia by Tiantian Chu, Juan Peng, Feng Gao, Fei Xiong, Ye Tu

“…Abstract Background Trigeminal neuralgia (TN) involves complex neural network alterations beyond the trigeminal system. …”
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OPTIMIZATION OF TRANSPORTATION ROUTES IN A CLOSED LOGISTICS SYSTEM by Vladimir Beskorovainyi, Olexij Kuropatenko, Denys Gobov

“…The following results were obtained: the decomposition of the problem of optimizing transportation routes in closed-loop logistics systems at the macro and micro levels was performed; a systemological model of the problem has been developed, which reflects the whole complex of tasks that are solved at various stages of the life cycle of logistics systems. …”
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Wheat Soil-Borne Mosaic Virus Disease Detection: A Perspective of Agricultural Decision-Making via Spectral Clustering and Multi-Indicator Feedback by Xue Hou, Chao Zhang, Yunsheng Song, Turki Alghamdi, Majed Aborokbah, Hui Zhang, Haoyue La, Yizhen Wang

“…By using the WSBM dataset collected in 2017–2018 from Walla Walla Valley, Oregon/Washington State border, the United States of America, and performing data augmentation for validation, along with comparative experiments and sensitivity analysis, this study demonstrates that the AI-driven LSGDM model integrating enhanced spectral clustering and ADISs-MGRS feedback mechanisms outperforms traditional models in terms of consensus efficiency and decision robustness. This provides valuable support for multi-party decision making in complex agricultural contexts.…”
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Evaluation of the LI-710 evapotranspiration sensor in comparison to full eddy covariance for monitoring energy fluxes in perennial and annual crops by Srinivasa Rao Peddinti, Isaya Kisekka

“…Uncorrected LI-710 fluxes exhibited a consistent underestimation, as reflected in low or negative Nash–Sutcliffe efficiency (NSE) values. …”
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Prevention and correction of postdecompression liver dysfunction in obstructive jaundice in experimental animals by M. M. Magomedov, M. A. Khamidov, H. M. Magomedov, K. I. Hajiyev

“…Obstructive jaundice is a complex pathology that significantly complicates surgical interventions and is accompanied by a number of negative consequences. …”
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Study on natural gas metering technology and pricing methods in China by Yunyun XIE, Yao SU, Pengtao LI, Fan ZHANG, Wenyao LIU, Jianwen GUO

“…ConclusionPromoting reforms in natural gas metering and pricing methods not only enhances resource utilization efficiency but also ensures market fairness and transparency. …”
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Integrated Assessment of the Quality of Functioning of Local Electric Energy Systems by Waldemar Wójcik, Petro Lezhniuk, Cezary Kaczmarek, Viacheslav Komar, Iryna Hunko, Nataliia Sobchuk, Laura Yesmakhanova, Zhazira Shermantayeva

“…The offered integral indicator of the quality of functioning of a LEES with RSE corresponds to the general requirements for such indicators. It reflects the actual operating conditions; allows for assessing the efficiency, quality, and optimality of power supply systems; and can be easily decomposed into partial indicators.…”
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A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models by Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…This optimization problem involves accurately identifying parameters that reflect the complex and nonlinear behaviours of photovoltaic cells affected by changing environmental conditions and material inconsistencies. …”
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In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study by Chitra Joshi, Chitrakant Banchorr, Omkaresh Kulkarni, Kirti Wanjale

“…As opposed to this, the MapReduce approach had higher latency and lower accuracy, reflecting its disk-based constraints and reduced efficiency for iterative machine learning tasks.Conclusion: The conclusion supports the fact that Spark is the better option for complex machine learning tasks such as stock price prediction, as it is good for handling large amounts of data. …”
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Organising general practice for care homes: a multi-method study by Barbara Hanratty, Rachel Stocker, David Sinclair, Katie Brittain, Karen Spilsbury, Daniel Stow, Louise Robinson, Fiona E Matthews

“…Different structures (e.g. scheduled visits) provide opportunities to develop effective, efficient care, but flounder without established, trusting relationships. …”
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Deep Learning-Based Seedling Row Detection and Localization Using High-Resolution UAV Imagery for Rice Transplanter Operation Quality Evaluation by Yangfan Luo, Jiuxiang Dai, Shenye Shi, Yuanjun Xu, Wenqi Zou, Haojia Zhang, Xiaonan Yang, Zuoxi Zhao, Yuanhong Li

“…However, the working environment of rice transplanters in paddy fields is complex, and data obtained solely from GPS devices installed on agricultural machinery cannot directly reflect the specific information of seedlings, making it difficult to accurately evaluate the quality of rice transplanter operations. …”
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Thermal Analysis of Outer Rotor BLDC Motor for Drone Considering Airflow Ventilation Cooling by Jaebeom Kang, Jiheon Lee, Hyeong-Jin Kim, Thanh-Tuan Nguyen, Jiyoung Lee, Yi-Hwa Song, Sung-Joo Yoo

“…Considering these operating conditions, thermal analysis that accurately reflects the airflow characteristics around the motor is essential in the motor design process. …”
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Water scarcity in semi-arid California compromises perennial alfalfa’s high yield and carbon sinking potentials by Tianxin Wang, Kanishka Mallick, Joseph Verfaille, Daphne Szutu, Dennis Baldocchi

“…From our analysis, the lower evaporative fraction and higher sensible heat flux in 2022 indicated potential water stress, which was further reflected in a decrease water use efficiency and a lower canopy omega coefficient (i.e., higher stomatal closure). …”
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AIPerf: Automated Machine Learning as an AI-HPC Benchmark by Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen

“…The plethora of complex Artificial Intelligence (AI) algorithms and available High-Performance Computing (HPC) power stimulates the expeditious development of AI components with heterogeneous designs. …”
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Bio-Inspired Thin-Walled Straight and Tapered Tubes with Variable Designs Subjected to Multiple Impact Angles for Building Constructions by Quanjin Ma, Nor Hazwani Mohd Yusof, Santosh Kumar Sahu, Yiheng Song, Nabilah Afiqah Mohd Radzuan, Bo Sun, Ahmad Yunus Nasution, Alagesan Praveen Kumar, Mohd Ruzaimi Mat Rejab

“…A multi-criteria decision-making method (MCDM) using a complex proportional assessment method (COPRAS) was performed to select the optimum thin-walled structures with cross-section designs. …”
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A Single Electrode Organic Neuromorphic Device for Dopamine Sensing in Vivo by Federico Rondelli, Michele Di Lauro, Gioacchino Calandra Sebastianella, Anna De Salvo, Matteo Genitoni, Mauro Murgia, Pierpaolo Greco, Carolina Giulia Ferroni, Riccardo Viaro, Luciano Fadiga, Fabio Biscarini

“…It exhibits stable multi‐parametric response in complex fluids, in brain's mechanical models and in vivo, enabling monitoring of local variations of dopamine concentration in the rat brain.…”
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Back pain exercise therapy remodels human epigenetic profiles in buccal and human peripheral blood mononuclear cells: an exploratory study in young male participants by Claire Burny, Mia Potočnjak, Mia Potočnjak, Annika Hestermann, Sophie Gartemann, Michael Hollmann, Frank Schifferdecker-Hoch, Nina Markanovic, Simone Di Sanzo, Simone Di Sanzo, Michael Günsel, Victor Solis-Mezarino, Moritz Voelker-Albert, Moritz Voelker-Albert

“…We also performed an exploratory analysis to confirm the usability of molecular profiles in (1) mapping lifestyle choices and (2) evaluating the distance of a given participant to an optimal health state.ConclusionThis pre-post cohort study highlights the potential of integrated molecular profiles to score therapy efficiency. Our findings reflect the complex interplay of an individual's background and lifestyle upon therapeutic exposure. …”
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