Assessment of Bone Aging—A Comparison of Different Methods for Evaluating Bone Tissue by Paweł Kamiński, Aleksander Gali, Rafał Obuchowicz, Michał Strzelecki, Adam Piórkowski, Marcin Kociołek, Elżbieta Pociask, Joanna Kwiecień, Karolina Nurzyńska

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Artificial Neural Network Classification of Motor-Related EEG: An Increase in Classification Accuracy by Reducing Signal Complexity by Vladimir A. Maksimenko, Semen A. Kurkin, Elena N. Pitsik, Vyacheslav Yu. Musatov, Anastasia E. Runnova, Tatyana Yu. Efremova, Alexander E. Hramov, Alexander N. Pisarchik

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A study on the flow-pressure characteristics & temperature changes of a novel type of pressure regulator for hydrogen decompression by Ji-Qiang Li, Hao-Ran Ma, Tong Wu, Zhen-Yu Gong, Zi-Lin Su, Jeong-Tae Kwon, Caizhi Zhang, Ji-Chao Li

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Caudate Head Ischemic Stroke with Concurrent Tubercular Meningoencephalitis: A Case Report by Filippo Nuti, Giulia Ruocco, Patrizia Pasculli, Maria Rosa Ciardi, Giovanni Fabbrini, Matteo Bologna

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Case Report: Intradural gout tophi without systemic gout symptoms by Peidong Qing, Shiming Xie, Chaoqun Feng, Hongda Xu, Shengxin Zhao, Lei Zhang, Haitao Deng, Yehui Wang, Youpeng Hu

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A Novel Lightweight Algorithm for Sonar Image Recognition by Gang Wan, Qi He, Qianqian Zhang, Hanren Wang, Huanru Sun, Xinnan Fan, Pengfei Shi

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Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle by Wenyuan Shao, Jianmin Hu, Yicai Ji, Jun Pan, Guangyou Fang

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Time-division prediction method for peak power of distributed new energy access power grid based on ARIMA–RBF by Yangrui Zhang, Junpeng Zhao, Chao Zhang, Bingyu Zhang, Xiaoyu Liu, Shaokang Feng

“…By dividing the power data into four periods, the prediction of power peaks for distributed new energy is improved. …”
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Local kernel renormalization as a mechanism for feature learning in overparametrized convolutional neural networks by R. Aiudi, R. Pacelli, P. Baglioni, A. Vezzani, R. Burioni, P. Rotondo

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InBRwSANet: Self-attention based parallel inverted residual bottleneck architecture for human action recognition in smart cities. by Yasir Khan Jadoon, Muhammad Attique Khan, Yasir Noman Khalid, Jamel Baili, Nebojsa Bacanin, MinKyung Hong, Yunyoung Nam

“…Human Action Recognition (HAR) has grown significantly because of its many uses, including real-time surveillance and human-computer interaction. Various variations in routine human actions make the recognition process of action more difficult. …”
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Resilience Assessment in a Seawater Pumping Station Using Ordinal Patterns and Permutation Entropy Approach by Orlando Durán, Christian Salas, Alejandro Peña

“…Quantitative assessment of resilience is essential to facilitate the development and implementation of optimal strategies that ensure operational continuity. …”
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Protecting group-free photocatalyzed O-arylation of quinic acid by Miguel A. Bárbara, Nuno R. Candeias, Luis F. Veiros, Filipe Menezes, Andrea Gualandi, Pier G. Cozzi, Carlos A.M. Afonso

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Preparation of iodine-131 labeled Polyvinyl alcohol-collagen microspheres for radioembolization therapy of liver tumors by Yuhao Li, Huawei Cai, Yikai Xing, Fuwen Pang, Lin Li

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Numerical and Experimental Study on the Wave-Attenuation Effect According to the Height of a Two-Row Submerged Rectangular Structure by Seonghee Yu, Sanghun Lee, Sanghwan Heo, Weoncheol Koo

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Design of cooling structure improvement of hybrid commutated converter valve by Xu He, Lu Qu, Xiaoguang Wei, Fang Cai, Zhanqing Yu, Tianhui Yang, Yurong Luo, Gongyi Zhang

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Protection of vineyards from Zonda wind: Evaluation of forest windbreaks. Mendoza, Argentina by Rodolfo Abel Dematte, Ernesto Gandolfo Raso, Josefina Huespe

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An Approach for Detecting Tomato Under a Complicated Environment by Chen-Feng Long, Yu-Juan Yang, Hong-Mei Liu, Feng Su, Yang-Jun Deng

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Classification of shale gas “sweet spot” based on Random Forest machine learning by NIE Yunli, GAO Guozhong

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Performance of hump slab track in sandstorms using simulation and a wind tunnel experiment by Masoud Fathali, Mohammad Mohsen Kabiri Nasrabad, Fereidoon Moghadasnejad

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A Systematic Method for the Calibration of FEA Model of Synchronous Reluctance Machines Considering Manufacturing Effects by Andrea Credo, Paolo Pescetto

“…This approach led to a reduction in torque estimation error from 18% to 4%, and an improvement of the flux maps evaluation, thus enhancing and validating the design procedure and permitting further optimization steps of machines with similar geometry and dimensions. …”
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