The Emerging Roles of Nanoparticles in Managing the Environmental Stressors in Horticulture Crops—A Review by Mohamed K. Abou El-Nasr, Karim M. Hassan, Basma T. Abd-Elhalim, Dmitry E. Kucher, Nazih Y. Rebouh, Assiya Ansabayeva, Mostafa Abdelkader, Mahmoud A. A. Ali, Mohamed A. Nasser

“…Owing to developments in technology that outclass traditional breeding methods and genetic engineering techniques, powerful alleviation strategies are vital. …”
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Impact of temporary nursing staff on communication patterns: an observation study during daily nurse huddles by Julia Carolin Seelandt, Sarah Dana Schmelzer, Sina Berger, Zeynep Erden, Florian Liberatore

“…Background Effective communication within healthcare teams is essential for efficient work coordination and patient safety. Communication in teams can take two forms: implicit and explicit, both of which play important roles in enhancing teamwork and output. …”
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Optimization of a Coupled Neuron Model Based on Deep Reinforcement Learning and Application of the Model in Bearing Fault Diagnosis by Shan Wang, Jiaxiang Li, Xinsheng Xu, Ruiqi Wu, Yuhang Qiu, Xuwen Chen, Zijian Qiao

“…The method shows significant performance advantages in realizing the energy enhancement of the bearing fault eigenfrequency and provides a more efficient and accurate solution for bearing fault diagnosis, which has important engineering application value.…”
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Hybrid Energy Storage Black Start Control Strategy Based on Super Capacitor by Dengfeng Yao, Zhezhi Chen, Yihua Zhang, Xuelin He, Yiyuan Zhang, Tengqing Xiong, Jingyuan Yin

“…A topology structure with a direct parallel output on the AC side is adopted, and the SC is directly connected to the AC side of the LAB in the current source mode. …”
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Characterization of “sweet spots” and optimization of volume fracturing parameters in deep tight reservoirs of Subei Basin by TANG Jiandong, ZHANG Shunkang, LIN Shiwei, GE Zhengjun, LIN Bo

“…To optimize development strategies, well types, production methods, fracturing parameters, and well pattern designs were systematically refined to ensure stable production. …”
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A data-driven approach to solve the RT scheduling problem by Mruga Gurjar, Jesper Lindberg, Thomas Björk-Eriksson, Caroline Olsson

“…We aim to create and evaluate an automated strategy which generates a patient allocation list to assist the scheduling staff to create an efficient scheduling process. Methods and Materials: We used historical data from a large RT department in Sweden from January to December 2022 with 11–13 operational linear accelerators. …”
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A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study by Tessa Ohlsen, Viola Hofer, Josef Ingenerf

“… Abstract BackgroundThe digitalization of health care has increased the demand for efficient data exchange, emphasizing semantic interoperability. …”
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Research on Heat Transfer Coefficient Prediction of Printed Circuit Plate Heat Exchanger Based on Deep Learning by Yi Su, Yongchen Zhao, Jingjin Wu, Ling Zhang

“…Additionally, this study introduces the SHAP interpretable analysis method to elucidate model predictions, revealing the contributions of different features to model outputs. …”
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GLR: Graph Chain-of-Thought with LoRA Fine-Tuning and Confidence Ranking for Knowledge Graph Completion by Yifei Chen, Xuliang Duan, Yan Guo

“…Although recent knowledge graph completion (KGC) methods based on representation learning have achieved notable progress, they still suffer from two fundamental limitations, namely the lack of structured reasoning capabilities and the inability to assess the confidence of their predictions, which often results in unreliable outputs. …”
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Forecasting temperature and rainfall using deep learning for the challenging climates of Northern India by Syed Nisar Hussain Bukhari, Kingsley A. Ogudo

“…This study addresses the need for precise and efficient T&R forecasting using deep learning-based framework tailored to the unique climatic conditions of these regions. …”
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EgoSep: Egocentric On-Screen Sound Source Separation for Real-Time Edge Computing by Donghyeok Jo, Jun-Hwa Kim, Jihoon Jeon, Chee Sun Won

“…However, OSS in these scenarios remains several technical challenges, such as adapting to rapidly changing perspectives, ensuring real-time performance on resource-constrained edge devices, and developing computationally efficient learning strategies. To address these challenges, we propose EgoSep, a method designed for Egocentric On-screen Sound Source Separation(Ego-OSS). …”
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QD-MLL-Based Single-Sideband Superchannel Generation Scheme With Kramers–Kronig Direct Detection Receivers by Mustafa Al-Qadi, Govind Vedala, Maurice O'Sullivan, Chongjin Xie, Rongqing Hui

“…It also preserves the full digital-to-analog converters’ bit resolution for data modulation, in contrast to other methods based on digital generation of the CW component. …”
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Quasi‐fixed frequency controlled phase modulation LCC resonant converter with a wide power range by Ying Feng, Dejun Kong

“…Simulation and experimental results can effectively demonstrate the performance of the proposed modulation control method for a variety of input voltage and output power cases, and the efficiency of the LCC converters will be improved in higher power systems.…”
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CONCEPTUAL MODEL OF SYSTEM ANALYSIS OF THE QUALITY OF VOCATIONAL TEACHER TRAINING by Oleksandr Derevyanchuk

“…Theoretical methods were used in the article to analyse scientific works, as well as empirical methods, in particular a pedagogical experiment aimed at implementing models and technologies of system analysis of the quality of vocational teacher training. …”
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A New Scheduling Quantitative Feedback Theory-Based Controller Integrated with Fault Detection for Effective Vibration Control by R. Jeyasenthil, Yang-Sup Lee, Seung-Bok Choi

“…In this work, a new integrated fault detection and control (IFDC) method is presented for single-input/single-output systems (SISOs). …”
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An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…MethodsMethods A dual-output branch structure was designed within an improved U-Net architecture to simultaneously supervise velocity distribution and pixel displacement values, enhancing feature representation and model robustness. …”
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Flexible Load Stochastic Optimal Control of Wind Power-Based Hydrogen Production and Ammonia Synthesis Systems Based on the Itô Process by Guoshan YANG, Jie ZHU, Wenqin SONG, Yiwei QIU, Buxiang ZHOU

“…Then, the stochastic optimization problem is transformed into a deterministic second-order cone programming by the trajectory sensitivity decomposition and solved by the stochastic model predictive control (SMPC) in a rolling-horizon manner, avoiding the disadvantages of high computational complexity and low efficiency of the traditional sampling-based stochastic control methods. …”
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Rapid Control Prototyping and Analysis of a Fault Diagnosis and Amplifying Algorithm for Broken Rotor Bar Induction Motor Drives by Jina Choi, Se Hwan Kim, Woongkul Lee, Jae Suk Lee

“…Comprehensive validation through simulations and rapid control prototyping highlights the superior fault detection sensitivity of the FDnA method compared to conventional approaches, establishing it as a reliable and efficient advancement in fault detection for induction motors.…”
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Optimization of Soft Actuator Control in a Continuum Robot by Oleksandr Sokolov, Serhii Sokolov, Angelina Iakovets, Miroslav Malaga

“…This study presents a quasi-static optimization framework for the pressure-based control of a multi-segment soft continuum manipulator. The proposed method circumvents traditional curvature and length-based modeling by directly identifying the quasi-static input–output relationship between actuator pressures and the 6-DoF end-effector pose. …”
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Research on Current Sharing Characteristics of 2-Phase 90° Interleaved Parallel LLC Resonant Converter Based on Variable Resonant Capacitor by Haichao Li, Yugang Yang, Chunguang Ren, Xinwei Wei, Runquan Meng

“…This paper proposes a novel approach to address the issues of imbalanced 2-phase resonant currents and output currents in traditional 2-phase parallel LLC resonant converters, as well as the excessive output current ripple caused by the conventional 2-phase 180° interleaved current-sharing method. …”
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