Origin assessment of uranium ores using multivariate statistical method based on their rare-earth elemental parameters by Xuepeng Shao, Wenting Bu, Youyi Ni, Hailong Wang, Xuemei Liu, Chuting Yang, Fanhua Hao

“…A database was established, comprising mass spectrometric measurements of rare-earth elemental parameters of twenty-five samples from seven countries. The efficiencies of different multivariate statistical techniques, including cluster analysis (CA), principal component analysis (PCA) and linear discriminant analysis (LDA), were compared. …”
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Core–Shell Magnetic Gold Nanoparticles with Chitosan Coating as a SERS Substrate: A Rapid Detection Strategy for Malachite Green Contamination in Aquatic Foods by Yihui Yang, Tao Huang, Sijia Hu, Hang Ye, Jiali Xing, Shengnan Zhan

“…The substrate combines chitosan-functionalized magnetic nanobeads with dense gold nanoparticles. It efficiently enriches MG through electrostatic and π–π interactions, generates high-density plasmonic hotspots for stable signals, and utilizes a superparamagnetic core to concentrate MG molecules. …”
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Experiment Study and Dynamic Simulation Analysis of Transmission Performance of High-performance Magnetic Gear by Yang Chaojun, Zhang Xiuwen, Ji Chenglong, Zhang Youjing, Yuan Airen

“…When the speeds is lower,the efficiency is almost equal to 1,thus the out torque is equal to the input torque times its gear ratio. …”
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LST-BEV: Generating a Long-Term Spatial–Temporal Bird’s-Eye-View Feature for Multi-View 3D Object Detection by Qijun Feng, Chunyang Zhao, Pengfei Liu, Zhichao Zhang, Yue Jin, Wanglin Tian

“…Additionally, we introduce the Long-Term Temporal Perception Module (LTPM), which efficiently extracts temporal features by combining Mamba and linear attention, overcoming challenges in temporal frame extraction. …”
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Soft Electronic Switches and Adaptive Logic Gates Based on Nanostructured Gold Networks by Giacomo Nadalini, Alexander Dallinger, Davide Sottocorno, Francesco Greco, Francesca Borghi, Paolo Milani

“…These results constitute a promising starting point  for a fruitful combination of physical and computing intelligence directly integrated on soft systems to efficiently interact with the surrounding scenario.…”
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ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions by Muhammad Abubakar, Ahsan Raza, Arfan Ali Nagra, Anas Bilal, Ahmad Alshammari, Monir Abdullah, Sahraoui Dhelim

“…These matrices reflected their ability to efficiently classify the five different classes. The proposed model also compared with most trending pretrained models such as LSTM, GRU and TabNet to validate the effectiveness.…”
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Deep TPS-PSO: Hybrid Deep Feature Extraction and Global Optimization for Precise 3D MRI Registration by Gayathri Ramasamy, Tripty Singh, Xiaohui Yuan, Ganesh R Naik

“…This article presents TPS-PSO, a hybrid deformable image registration framework integrating deep learning, non-linear transformation modeling, and global optimization for accurate inter-subject, intra-modality 3D brain MRI alignment. …”
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Optimized Method for Generating and Acquiring GPS Gold Codes by Khaled Rouabah, Salim Attia, Rachid Harba, Philippe Ravier, Sabrina Boukerma

“…We propose a simpler and faster Gold codes generator, which can be efficiently initialized to any desired code, with a minimum delay. …”
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Groundwater Storage Estimation in the Saskatchewan River Basin Using GRACE/GRACE-FO Gravimetric Data and Machine Learning by Mohamed Hamdi, Anas El Alem, Kalifa Goita

“…To characterize this impact, remote sensing and machine learning are essential tools to analyze the data accurately and efficiently. This study aims to predicting the variations of groundwater storage (GWS) using GRACE/GRACE-FO and multi-source remote sensing data, combined with machine learning techniques. …”
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Hydrolyzed Karaya Gum: Gelatin Complex Coacervates for Microencapsulation of Soybean Oil and Curcumin by My Lan Nguyen Le, Hang Nga Le Thi, Vinh Tien Nguyen

“…Increasing the shell:core mass ratio from 1 to 4 resulted in a linear increase in encapsulation efficiencies for both soybean oil and curcumin. …”
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Improvement of the TEB Algorithm for Local Path Planning of Car-like Mobile Robots Based on Fuzzy Logic Control by Lei Chen, Rui Liu, Daiyang Jia, Sijing Xian, Guo Ma

“…TEB (timed elastic band) can efficiently generate optimal trajectories that match the motion characteristics of car-like robots. …”
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MSKd_Net: Multi-Head Attention-Based Swin Transformer for Kidney Diseases Classification by H. Sharen, Modigari Narendra, L. Jani Anbarasi

“…The MSKd_Net architecture integrates Swin Transformer-based hierarchical learning, efficiently capturing both local and global features, along with a customized convolved model enhanced with a multi-head attention layer. …”
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Optimization of the Tunable Nanosecond Cascaded Optical Parametric Oscillators Based on Monolithic Tandem Lithium Niobate Superlattices by Tao Chen, Hao Liu, Wei Kong, Rong Shu

“…By employing couplers with proper reflectivities and crystals with optimized structures, such tunable COPOs can generate idler waves more efficiently than conventional optical parametric oscillators. …”
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A Lightweight, Simple-Structure, Low-Cost and Compliant Twisted String Actuator Featuring Continuously Variable Transmission by Chanchan Xu, Tong Liu, Shuai Dong, Yucheng Wang, Xiaojie Wang

“…Twisted string actuators, which are an emerging artificial muscle, efficiently convert rotary motor motion into linear load movement, with advantages like high transmission ratio, compliance, simple structure, and long-distance power transmission. …”
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An Aminated Bacterial Biosorbent Capable of Effectively Binding Negatively Charged Pollutants in Aqueous Solution by Sung Wook Won, K. Vijayaraghavan, Juan Mao, Yeoung-Sang Yun

“…Desorption was successful achieved at pH 10, with > 90.2% elution efficiencies for both the raw and aminated biomasses.…”
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A Comparative Study on Fuzzy Logic-Based Liquid Level Control Systems with Integrated Industrial Communication Technology by Hasan Mhd Nazha, Ali Mahmoud Youssef, Mohamad Ayham Darwich, Their Ahmad Ibrahim, Hala Essa Homsieh

“…These improvements demonstrate its ability to handle process fluctuations more efficiently and respond rapidly to changes in liquid levels. …”
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Advancing sustainable mobility: Dynamic predictive modeling of charging cycles in electric vehicles using machine learning techniques and predictive application development by Biplov Paneru, Durga Prasad Mainali, Bishwash Paneru, Sanjog Chhetri Sapkota

“…This research brings light to the future of advanced machine learning methods in enhancing the battery efficiencies of EVs and the development of electric mobility technologies. …”
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Quick-Response Model for Pre- and Post-Disaster Evacuation and Aid Distribution: The Case of the Tula River Flood Event by Francisca Santana-Robles, Eva Selene Hernández-Gress, Ricardo Martínez-López, Isidro Jesús González-Hernández

“…<i>Background</i>: In the context of humanitarian logistics, efficiently evacuating people from disaster-stricken areas is a complex challenge. …”
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High voltage direct current system-based generation and transmission expansion planning considering reactive power management of AC and DC stations by Ehsan Akbari, Ahad Faraji Naghibi, Mehdi Veisi, Sasan Pirouzi, Sheila Safaee

“…The scheme incorporates a non-linear model. The Red Panda Optimization (RPO) is utilized to solve the provided model in order to attain a dependable and optimal solution. …”
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Rapid On-site Detection of Microleakage of Lithium Battery Electrolytes by Vacuum-Assisted Volatilization-Portable Gas Chromatography-Mass Spectrometry by Xin-xin LU, Shuo ZHANG, Kai XU, Jun-wei QIU, Hui-jun ZHU, Yu-lin CHEN, Xiao-xu LI

“…Portable chromatography-mass spectrometer has the advantages of high efficiency, small size, light weight, and low power consumption, and is suitable for on-site determination of volatile organic compounds (VOCs). …”
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