Neurosurgical nurses’ perspectives of patient-reported outcomes: a qualitative study by Yu Han, Yanmei Wang, Yan Liu, Zezhou Wang, Xue Dong, Kui Fang

“…., pain, functional impairments), yet traditional assessment models often neglect subjective experiences. Although PROs integrate patient perspectives with clinical indicators, improving diagnosis and care, significant variations exist in nurses’ understanding of PROs, potentially hindering implementation. …”
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Thermal Optimization Design for a Small Flat-Panel Synthetic Aperture Radar Satellite by Tian Bai, Yuanbo Zhang, Lin Kong, Hongrui Ao, Jisong Yu, Lei Zhang

“…The thermal control method of the antenna is closely integrated with structural design, simplifying the thermal design and its assembly process, reducing the resource consumption of thermal control systems. …”
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Ultra-Local Model-Based Adaptive Enhanced Model-Free Control for PMSM Speed Regulation by Chunlei Hua, Difen Shi, Xi Chen, Guangfa Gao

“…Compared with a conventional MFSC, the proposed method eliminated steady-state errors, reduced the speed overshoot, and achieved faster settling with improved disturbance rejection. …”
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Optical OTFS waveform PAPR analysis for high order modulation employing CNN, DNN, and AE machine learning algorithms under a variety of channel scenarios by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…This paper proposes an algorithm for machine-learning (ML)-based PAPR reduction dedicated to optical OTFS under varying channel conditions, such as turbulence and multipath fading. The proposed method utilizes deep learning models to maximize signal processing and suppress peak-power variations, while ensuring signal integrity. …”
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Application of Solutions of Uncorrected Tasksʼ Theory for Managing of Production Processesʼ Robustness by P. S. Serenkov, V. M. Romanchak, I. E. Pesliak

“…Taguchiʼs robust redesigning of production processes formed the basis of our method.…”
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Polarization of road target detection under complex weather conditions by Feng Huang, Junlong Zheng, Xiancai Liu, Ying Shen, Jinsheng Chen

“…To enhance the polarized features of targets under complex weather conditions, an Adaptive Polarization Coding Module (APCM) is designed. This module integrates channel-wise global self-attention and small kernel convolution to adaptively adjust the polarization enhancement method using dynamically extracted global and local polarization feature information. …”
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A Robust Scheme of Vertebrae Segmentation for Medical Diagnosis by Faisal Rehman, Syed Irtiza Ali Shah, Naveed Riaz, Syed Omer Gilani

“…Thus the learning of the network is improved and the network is able to accommodate high topological shape variations in the vertebrae. This proposed method was evaluated on two different datasets. …”
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Research Progress on Evolution of Rivers and Lakes in China Based on Remote Sensing Technology by QI Zhan-shuo, YAO Shi-ming, ZHU Yu, LIU Xiao-qing

“…The study focuses on discussing the temporal distribution of research publications, spatial distribution of study areas, types of sensors used, and variations in research methods within China. It summarizes key applications and development trends of remote sensing technology in China’s river and lake evolution and management, and compares them with literature on similar topics published between 2014 and 2023 from the Web of Science (WOS) Core Collection. …”
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RMixDA: A Random Compound Data Augmentation Operation Framework for Neural Machine Translation by Huijun Wang, Xiaojing Du, Xinkun Hao

“…To address this, we propose RMixDA: a Random Mixed Algorithm Framework For Data Augmentation, which dynamically integrates multiple NMT-oriented data augmentation methods. …”
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Biomimetic Computing for Efficient Spoken Language Identification by Gaurav Kumar, Saurabh Bhardwaj

“…Further, one more challenge is the significant variance in speech signals caused by factors such as different speakers, content, acoustic settings, language differences, changes in voice modulation based on age and gender, and variations in speech patterns. In this study, we introduce the DBODL-MSLIS approach, which integrates biomimetic optimization techniques inspired by natural intelligence to enhance language classification. …”
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Multi-source Data-driven Analysis of Deformation and Influencing Factors for Expansive Soil Canal Slopes by ZHANG Yuhan, HU Jiang, LI Xing

“…InSAR technology offers high spatiotemporal resolution, broad coverage, non-contact monitoring capability, and adaptability to complex terrain, addressing many limitations of conventional point-based methods. This study integrates Small Baseline Subset InSAR (SBAS-InSAR) with traditional deformation monitoring techniques to acquire multi-scale deformation data, enabling analysis from broad areas to localized sections. …”
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Analysis of an Underground Vertical Electrically Small Wire Antenna by Shuwei Dong, Aiguo Yao, Fanhe Meng

“…A quasistatic situation was considered to make an approximation on Sommerfeld integral for easy solution. The method of moments was used to solve the current distribution on the antenna surface at different frequencies, which laid a good foundation for obtaining the electric field of the antenna. …”
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Analysis of the Impact of Speed Trajectory Optimization on Energy Consumption During Highway Merging by Liyue Yang, Dohyun Park, Shaowen Lyu, Tacksu Kim, Namwook Kim

“…In this study, we address the problem of integrating the vehicle powertrain characteristics and speed optimization of merging control. …”
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Adaptation of root zone storage capacity to climate change and its effects on future streamflow in Alpine catchments: towards non-stationary model parameters by M. Ponds, M. Ponds, S. Hanus, H. Zekollari, H. Zekollari, H. Zekollari, M.-C. ten Veldhuis, G. Schoups, R. Kaitna, M. Hrachowitz

“…This adaptation of the root zone to moisture deficits can be estimated by the Memory method. When combined with long-term water budget estimates from the Budyko framework, the Memory method offers a promising approach to estimate future climate–vegetation interaction and thus time-variable parameters in process-based hydrological models.…”
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Long-term performance evaluation of a 1.5T MR-Linac using statistical process control techniques by Qing Xiao, Mengdie Shen, Guangjun Li, Shipai Zhu, Jinrong He, Qiang Wang, Guyu Dai, Hang Yu, Jialu Lai, Renming Zhong, Sen Bai

“…Traditional quality assurance (QA) methods, relying on binary pass/fail criteria, may overlook critical system variations. …”
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Response Patterns and Characterization of Tributary Hydrodynamic Characteristics to Mainstream Backwater Effect—A Case Study of the Shiguan River by Jinyang WANG, Dongdong JIA, Jinlou RUAN, Yuchen SONG, Yawei MAO, Zhangying CHEN, Zhuoying CANG, Jun YANG, Xiaona CHEN

“…Near the confluence, the backwater intensity parameter for the lower reaches of the Shiguan River exceeds 0.30, indicating a long-term backwater effect from the mainstream of the Huai River. 4) The method of using a comprehensive backwater intensity parameter, compared to hydrodynamic characteristic analysis methods and other characterization methods, facilitates a more intuitive analysis of the spatial and temporal variations of the backwater properties of mainstream and tributary confluences, and demonstrates good potential for wider application.Conclusion The results indicate that the proposed method of using envelopes to describe the scattered water level-discharge relationships of tributaries affected by backwater is a reasonable representation of the hydrological characteristics of tributaries during different periods. …”
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Long-term dramatic spatial and temporal changes in the watershed areas of multiple types of lakes and reservoirs in Xinjiang, China by Yingxiu Wu, Changjiang Liu, Fei Zhang, Mengfan Li, Ngai Weng Chan, Saheed Adeyinka Oke, Xu Ma, Lifei Wei

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Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, China by Nijuan Yang, Ting Zhang, Jianzhu Li, Ping Feng, Nina Yang

“…This paper figured out the optimal spatial scales of the Luan River Basin integrating response curves, area accuracy loss model, and semi-variation function under the appropriate resampling method. …”
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A Bottom-Up Multi-Feature Fusion Algorithm for Individual Tree Segmentation in Dense Rubber Tree Plantations Using Unmanned Aerial Vehicle–Light Detecting and Ranging by Zhipeng Zeng, Junpeng Miao, Xiao Huang, Peng Chen, Ping Zhou, Junxiang Tan, Xiangjun Wang

“…To address these challenges, we propose a bottom-up, multi-feature fusion method for segmenting rubber trees using UAV-LiDAR point clouds. …”
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Rapid Quality Assessment of Polygoni Multiflori Radix Based on Near-Infrared Spectroscopy by Bin Jia, Ziying Mai, Chaoqun Xiang, Qiwen Chen, Min Cheng, Longkai Zhang, Xue Xiao

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