Theoretical Correction of Viscosity Coefficient Measurement by Falling Ball Method by Ruiqi Wang, Qingyu Zhang, Shihan Xu, Liyuan Cui, Haonan Jiang

“…The relationship between displacement and time is consistent with the theoretical prediction, and the room mean square error of the two is 0.065. Based on them, this method can be widely used in scientific researches and teaching practices.…”
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Reservoir controllers design though robot-reservoir timescale alignment by Fan Ye, Arsen Abdulali, Kai-Fung Chu, Xiaoping Zhang, Fumiya Iida

“…Our findings reveal that a higher computational capability reduces the control failure rate, though it concurrently increases the trajectory-tracking error.…”
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Analysis of the Load Sharing Characteristic of Compound Planetary Gear Set Under the Common Impact of Internal and External Excitation by Chao Yang, Haibo Zhang, Huijuan Zhu, Liping Feng

“…The results indicate that， the impact of internal excitations on load sharing behavior is much bigger than that of external excitations， increasing bearing clearance contributes to load sharing behavior， and decreasing the transmission error of central parts is the most efficient way to improve load sharing behavior.…”
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Enhanced Seafloor Topography Inversion Using an Attention Channel 1D Convolutional Network Based on Multiparameter Gravity Data: Case Study of the Mariana Trench by Qiang Wang, Ziyin Wu, Zhaocai Wu, Mingwei Wang, Dineng Zhao, Taoyong Jin, Qile Zhao, Xiaoming Qin, Yang Liu, Yifan Jiang, Puchen Zhao, Ning Zhang

“…Seafloor topography data are fundamental for marine resource development, oceanographic research, and maritime rights protection. However, approximately 75% of the ocean remains unsurveyed for bathymetry. …”
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3-D Flood mapping from SWOT observations during extreme rainfall: a case study of Gangnan Reservoir by Jiaqi Yao, Mengran Wang, Nan Xu, Tong Liu, Fan Mo, Xue Li, Yongqiang Cao, Kebing Chen, Jinyan Sun, Hui Lu

“…While the SWOT satellite offers high-resolution water elevation monitoring via Ka-band radar, it faces accuracy issues from noise and cross-orbit error. Therefore, we used SWOT data to evaluate the potential flood risk during the 7/2023 Beijing–Tianjin–Hebei flooding event in China, focusing on the Gangnan Reservoir. …”
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Lightweight AES Design for IoT Applications: Optimizations in FPGA and ASIC With DFA Countermeasure Strategies by Salman Ahmed, Nabihah Ahmad, Nasir Ali Shah, Ghulam E. Mustafa Abro, Ardhi Wijayanto, Abdinasir Hirsi, Abdul Rehman Altaf

“…In addition, the study reviews DFA countermeasures that highlight fault detection methods, error detection levels, protection positions, and associated design overheads such as area, frequency, and throughput penalties, with special consideration for resource-constrained IoT devices. …”
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Calibration of double electroinduction spherical electric field strength sensor in a homogeneous field by S. V. Biryukov, L. V. Tyukina, A. V. Tyukin

“…A more careful adjustment of the measuring circuits of the dual sensor will reduce the error of the discrepancy between the static characteristics to (0,5–1) %. …”
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Effects of sample tree selection and calculation methods on the accuracy of field plot values in area-based forest inventories by Lennart Noordermeer, Terje Gobakken, Johannes Breidenbach, Rune Eriksen, Erik Næsset, Hans Ole Ørka, Ole M. Bollandsås

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Multi-physics ensemble modelling of Arctic tundra snowpack properties by G. J. Woolley, N. Rutter, L. Wake, V. Vionnet, C. Derksen, R. Essery, P. Marsh, R. Tutton, B. Walker, M. Lafaysse, D. Pritchard

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Accuracy of Rhythm Diagnostic Systems’ MultiSense^® in Detection of Arterial Oxygen Saturation and Respiratory Rate During Hypoxia in Humans: Effects of Skin Color and De... by Charles Evrard, Amina El Attaoui, Cristina Pistea, Irina Enache, Mark Marriott, Louis Mayaud, Anne Charloux, Bernard Geny

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GROG Facilitated Compressed Sensing for Radial MRI by Yumna Bilal, Ibtisam Aslam, Muhammad Faisal Siddiqui, Omair Inam, Kashif Amjad, Jawad Hasan Alkhateeb, Hammad Omer

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Development and validation of a comprehensive tool to study the various elements influencing the utilization of E-learning among undergraduate health professions students by Archana Prabu Kumar, Prabu Kumar Chokkalingam Mani, Komal Atta, Abirami Omprakash, K. Maheshkumar, Hany Atwa, K. N. Maruthy, Padmavathi R.

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A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication System by Danni Zhang, Zhongwei Tan, Xinyuan Ma, Shun Lu, Wenhua Ren, Fengping Yan

“…There is an increasing demand for data with the development of the world, and various fiber optic multiplexing techniques have become an important research direction to improve transmission capacity. …”
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The dual-edged potential of AI autonomously defining loss functions by Abbas Ghori

“…This paper discusses classical loss functions, including mean squared error (MSE), cross-entropy, Huber loss, and a range of other problem-specific variants that appear in scenarios dealing with imbalanced data, adversarial learning, and reinforcement learning. …”
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Clinical features of focal choroidal excavation subtypes and their association with choroidal neovascularization by Yuhong Gan, Guiqin He, Yongyue Su, Yining Zhang, Xiongze Zhang, Hui Chen, Chengguo Zuo, Miaoling Li, Xuelin Chen, Feng Wen

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Subject Review: Design of Gating and Risering Systems in Sand Molds by Ahmad Al-Ramahi

“…In fact, almost all of the foundry men in the local market have gained their experience by trial and error which usually leads to higher production cost and less production quality. …”
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Assessment of tensile and fatigue behavior of PEEK in a physiologically relevant environment by Mirco Peron, Jan Torgersen, Filippo Berto

“…In the last decades the necessity of implant devices is continuously increasing. The researchers have thus focused their attentions on the development of new biocompatible materials, in particular polymers. …”
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An Advanced Hybrid Forecasting System for Wind Speed Point Forecasting and Interval Forecasting by Haipeng Zhang, Hua Luo

“…Therefore, because of the minimum prediction error and excellent generalization ability, we consider this forecasting system to be an effective tool to assist smart grid programming.…”
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A Car-Following Model considering the Effect of Following Vehicles under the Framework of Physics-Informed Deep Learning by Le Xu, Jianxiao Ma, Yuchen Wang

“…Car-following models have been studied for a long time, and many traffic engineers and researchers have devoted attention to them. With the increase in machine learning, this paper proposes a fusion model based on the physics-informed deep learning framework. …”
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A novel smart surveillance approach to strengthen health facility-based disease surveillance in Tanzania by Ms Happy Mkali, MD Alix Miauton, Dr. Alexandra Kulinkina, Ms. Magreth Joram, MD Caroline Enos, Mr. Lazar Pavicevic, Mr. Vincent Faivre, Dr. MD Rainer Tan, Dr. Sabine Renggli, Ms. Theopista Lotto, Mr. Sinamgoda Ngailla, MD Godfrey Kavishe, Mr. Ibrahim Mtebene, Mr. Peter Agrea, MD Lameck Luwanda, Mr Geofrey Ashery, MD Chacha Mangu, Dr. MD Nyanda Ntinginya, Prof. Dr. Honorati Masanja, Prof. Dr. MD Isabella Eckerle, Prof. Dr. MD Valerie D'Acremont

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