A Versatile Switched-Mode Large-Signal GaN-Based Low-Distortion Arbitrary Waveform Generator by Ignacio Alvarez-Gariburo, Hector Sarnago, Jose M. Burdio, Oscar Lucia

“…In contrast to the previous ones, whose implementation was based on linear amplifiers, it enables arbitrary waveform generation, higher efficiency, and very low output impedance. In addition, it is also presented as a novelty that the voltage in each of the modules is different, following a digital to analog converter (DAC) structure, which allows us to obtain a lower total harmonic distortion (THD) in the output waveform than with conventional methods. …”
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Comprehensive Effects of Operation of Pumped-Storage Hydropower Plants on Downstream Conventional Hydropower Plants by ZHU De-kang, QIN Rui, CHENG Xiang, GUO Xu-ye

“…A comprehensive analysis of the systematic effect of the operation of the pumped-storage hydropower plants on the downstream conventional hydropower plants holds significant practical value for scientifically developing scheduling strategies for regional power stations and improving overall operational efficiency.[Methods] To systematically and quantitatively analyze this effect, this study proposed a water consumption rate-head curve fitting method based on a multi-layer perceptron (MLP). …”
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ClimKern v1.2: a new Python package and kernel repository for calculating radiative feedbacks by T. P. Janoski, T. P. Janoski, T. P. Janoski, T. P. Janoski, T. P. Janoski, I. Mitevski, R. J. Kramer, M. Previdi, L. M. Polvani, L. M. Polvani, L. M. Polvani

“…The radiative kernel method is commonly used to efficiently compute individual climate feedbacks from climate model or reanalysis output. …”
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Time-Series Data-Driven PM_2.5 Forecasting: From Theoretical Framework to Empirical Analysis by Chunlai Wu, Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng

“…Bibliometric analysis shows that research output is growing rapidly, with China and the United States playing a leading role, and recent research is increasingly focusing on data-driven methods such as deep learning. …”
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Analysis and Suppression of Pump Beam Alignment Error in SERF Co-Magnetometer by Qi Yuan, Wenfeng Fan, Haoying Pang, Xue Han, Zhuo Wang, Wei Quan

“…The influence of PBAE on the scale factor, bandwidth, and magnetic noise response of the inertial output is analyzed. Theoretical results show that PBAE increases the internal magnetic field gradient, reduces the efficiency of nuclear spin hyperpolarization, and increases the nuclear spin relaxation rate, ultimately degrading the system’s scale factor, bandwidth, and magnetic noise suppression capability. …”
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Study on intelligent diagnosis and early warning system for traction drive and auxiliary power systems of urban rail transit trains by CAO Xuejie, HE Ye, SHAN Sheng, ZHOU Moling, ZHAN Yanhao, CHEN Lingquan

“…Consisting of an onboard network system, onboard data processing center and ground big data platform, this online system can automatically generate fault data, push early warnings, fault diagnosis results output and troubleshooting suggestions, obviously improving train availability and maintenance efficiency. …”
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Coupling coordination and obstacle factors of cultivated land system resilience and new urbanization by Weijuan Li, Weijuan Li, Jinyong Guo

“…An evaluation system is constructed, and development levels are assessed using the entropy method, the coupling coordination degree model, and the obstacle degree model. …”
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Investigating broadband filtering power amplifier using multi-mode resonator-based bandpass filter by Mohamed Boumalkha, Ahmed Gamal Abdellatif, Ahmed S.I. Amar, Mohammed Lahsaini, Amir Almslmany, Shuja Ansari, Mohammed Alammar, Mahmoud A. Shawky

“…The proposed method focuses on the integration of the power amplifier (PA) and bandpass filter (BPF) into a single, co-designed structure, eliminating the conventional output matching network (OMN) by directly connecting the BPF to the transistor's drain. …”
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Generative adversarial models for extreme geospatial downscaling by Guiye Li, Guofeng Cao

“…With a case study of gridded climate datasets (wind velocity and solar irradiance), we demonstrate the performances of the framework in downscaling tasks with large scaling factors (up to 64×) and highlight the advantages of the framework with a comprehensive comparison with commonly used and most recent downscaling methods, including area-to-point (ATP) kriging, deep image prior (DIP), enhanced super-resolution generative adversarial networks (ESRGAN), physics-informed resolution-enhancing GAN (PhIRE GAN), and an efficient diffusion model for remote sensing image super-resolution (EDiffSR).…”
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EOST-LSTM: Long Short-Term Memory Model Combined with Attention Module and Full-Dimensional Dynamic Convolution Module by Guangxin He, Wei Wu, Jing Han, Jingjia Luo, Lei Lei

“…The full-dimensional dynamic convolutional module introduces the dynamic attention mechanism in the spatial position and input and output channels of the convolutional kernel, adaptively adjusts the weight of the convolutional kernel, and improves the flexibility and efficiency of feature extraction. …”
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Relaxation Parameter Optimization in Electrical-to-Mechanical Co-Simulation Based on Time Windowing WR Technique by Md Moktarul Alam, Richard Perdriau, Mohammed Ramdani, Mohsen Koohestani

“…The WR method exhibited significantly lower power efficiency (57.4%) compared to the full system (81.4%), rendering it insufficient. …”
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Deep Learning-Based Fault Diagnosis via Multisensor-Aware Data for Incipient Inter-Turn Short Circuits (ITSC) in Wind Turbine Generators by Qinglong Wang, Shihao Cui, Entuo Li, Jianhua Du, Na Li, Jie Sun

“…These faults can cause fluctuations in the output voltage, frequency, and power of wind turbines, eventually leading to overheating, equipment damage, and rising maintenance costs if not detected early. …”
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Enhancing treatment decision-making for low back pain: a novel framework integrating large language models with retrieval-augmented generation technology by Rong Chen, Siyun Zhang, Yiyi Zheng, Qiuhua Yu, Chuhuai Wang

“…In addition, CLBP-GPT scored as high as 4.42 (SD = 0.19) in the completeness dimension, further demonstrating that the decision content output by the model was more comprehensive and covered more key information related to CLBP.DiscussionThis study not only provides new technical support for clinical decision-making in CLBP, but also introduces a powerful tool for doctors to formulate personalized and efficient treatment strategies. …”
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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…These results demonstrate superior accuracy, speed, and deployment efficiency over conventional methods and highlight our algorithm’s considerable potential for surface defect detection applications beyond ceiling fan blades. …”
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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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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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