Geochemical exploration of rare earth element resources in highland karstic bauxite deposits in the Sierra de Bahoruco, Pedernales Province, Southwestern Dominican Republic. by Mark Chappell, Harold Rojas, Charles Andros, Autumn Acree, Yoko Masue-Slowey, Christine Young, Paige Fowler, Elizabeth Lotufo, Wesley Rowland, Michelle Wynter, Marcelo Salles, Leopoldo Gonzalez

“…This study investigates the geochemical characteristics of rare earth elements (REEs) in highland karstic bauxite deposits located in the Sierra de Bahoruco, Pedernales Province, Dominican Republic. …”
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Programmable memristors with two-dimensional nanofluidic channels by Abdulghani Ismail, Gwang-Hyeon Nam, Aziz Lokhandwala, Siddhi Vinayak Pandey, Kalluvadi Veetil Saurav, Yi You, Hiran Jyothilal, Solleti Goutham, Ravalika Sajja, Ashok Keerthi, Boya Radha

“…A minimal mathematical model incorporating ion–ion interactions, surface charge, and channel entrance depletion successfully reproduces the observed memristive behaviors. …”
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Respirable particles from cutting and grinding ceramic tiles: A Scanning Electron Microscopy investigation by Silvia Contessi, Francesca Borghi, Francesca Graziosi, Francesco S. Violante

“…An automated microscopy workflow based on image analysis with a trained deep learning algorithm was applied. The findings revealed that a consistent proportion of the respirable particles were smaller than 1 μm. …”
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Fault analysis of railway track superstructure using time-frequency method from vibrational data by Shahzor Memon, Imtiaz Hussain, Lubna Moin

“…The safety and operational efficiency of railroads could be improved by further research that combines these time-frequency characteristics with machine learning algorithms to increase fault detection accuracy and create monitoring systems for more effective proactive maintenance.…”
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Extraction and location of subway shield tunnel segment joints from RMLS point clouds by Liying Wang, Ze You, Yong Feng, Chunxi Xie, Mahamadou Camara

“…Finally, a novel curvature-based ratio metric, derived from the local bulge and liner distribution characteristics, is developed to identify and localize radial joints within each shield ring. …”
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Exploring aspects of mentoring for black and minoritised healthcare professionals in the UK: a nominal group technique study by Vimal Sriram, Anita Atwal, Elizabeth A McKay

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Optimizing Artificial Neural Networks with Particle Swarm Optimization for Accurate Prediction of Insulator Flashover Voltage Under Dry and Rainy Conditions by Abdelhalim Mahdjoubi, lazreg taibaoui, Boubakeur Zegnini

“…These factors contribute to surface flashovers, leading to insulation failures in outdoor power systems. …”
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Artificial Intelligence and Image Analysis-Assisted Diagnosis for Fibrosis Stage of Metabolic Dysfunction-Associated Steatotic Liver Disease Using Ultrasonography: A Pilot Study by Itsuki Fujii, Naoki Matsumoto, Masahiro Ogawa, Aya Konishi, Masahiro Kaneko, Yukinobu Watanabe, Ryota Masuzaki, Hirofumi Kogure, Norihiro Koizumi, Masahiko Sugitani

“…However, several challenges persist, including the widespread utilization of equipment, difficulties in measuring certain cases, and the influence of viscosity factors. A rough surface and a blunted hepatic margin have long been acknowledged as valuable characteristics indicative of hepatic fibrosis. …”
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Dynamics of Nocturnal Evapotranspiration in a Dry Region of the Chinese Loess Plateau: A Multi-Timescale Analysis by Fengnian Guo, Dengfeng Liu, Shuhong Mo, Qiang Li, Fubo Zhao, Mingliang Li, Fiaz Hussain

“…The results showed the following: (1) In contrast to the non-significant trend in <i>ETN</i> on the diurnal and daily scales, monthly <i>ETN</i> dynamics exhibited two peak fluctuations during the growing season. (2) The contribution of <i>ETN</i> to <i>ET</i> exhibited seasonal characteristics, being relatively low in summer, with interannual variations ranging from 10.9% to 14.3% and an annual average of 12.8%. (3) The half-hourly <i>ETN</i>, determined by machine learning methods, was driven by a combination of factors. …”
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A Full-Scale Shadow Detection Network Based on Multiple Attention Mechanisms for Remote-Sensing Images by Lei Zhang, Qing Zhang, Yu Wu, Yanfeng Zhang, Shan Xiang, Donghai Xie, Zeyu Wang

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基于Shannon熵的LCD-SVM方法在齿轮故障分类中的研究 by 李鹏宇, 邵忍平, 汪亚运

“…Local feature scale decomposition（Local characteristic scale decomposition,LCD）is a new adaptive time-frequency analysis method,which can adaptively decompose a complex signal into a number of ISC（Intrinsic scale component,ISC）components.SVM（support vector machine,SVM）is a kind of intelligent classification methods of machine learning,Shannon entropy is a nonlinear statistical learning methods.The LCD and SVM are introduced to the fault classification of mechanical transmission system.The Hilbert demodulation algorithm is used to strike the envelope signal of ISC components,through which the Shannon entropy is structured.After an in-depth analysis on the basis,it is combined with SVM in good relationship.The result is input vectors of SVM classifier,the trained SVM is used to determine the fault location,the type or degree of the test sample.Through the experimental analysis and verification,using this combining method,the recognition rate of four operating states which contains the normal state,the root crack of tooth,the wear of tooth surface,the composite fault is up to 97.5%.…”
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Performance evaluation of a diesel engine fuelled with waste plastic pyrolysis oil, 1-butanol, and CeO2 additives under varying injection pressures by K. Sunil Kumar, Sumathy Muniamuthu, T.M. Yunus Khan, Abdul Razak

“…The novelty in this work includes the addition of limited percentages of cerium oxide with limited percentages of 1-butanol to achieve better performance, combustion, and emission characteristics. A detailed statistical investigation is carried out using Response Surface Methodology, followed by optimization using powerful desirability optimization techniques. …”
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Evaluating the accuracy of the Ophthalmologist Robot for multiple blindness-causing eye diseases: a multicentre, prospective study protocol by Wei Chen, Xiaoyu Zhang, Lijing L Yan, Zhongwen Li, Qi Dai, Qixin Li, Jie Tan, He Xie

“…All participants will undergo ocular surface and fundus images taken by the Ophthalmologist Robot. …”
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Addressing data scarcity in nanomaterial segmentation networks with differentiable rendering and generative modeling by Dennis Possart, Leonid Mill, Florian Vollnhals, Tor Hildebrand, Peter Suter, Mathis Hoffmann, Jonas Utz, Daniel Augsburger, Mareike Thies, Mingxuan Gu, Fabian Wagner, George Sarau, Silke Christiansen, Katharina Breininger

“…Abstract Nanomaterials’ properties, influenced by size, shape, and surface characteristics, are crucial for their technological, biological, and environmental applications. …”
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A Specific Time Lag Regulation of Soil Moisture Across Layers on Soil Salinization in the Northeast Tibetan Plateau Agroecosystem by Di Wei, Ziqi Zhang, Lin Yan, Jia Yu, Yun Zhang, Bo Wang

“…Based on Landsat 8 satellite imagery and ERA5-Land reanalysis datasets, this study explored the variation characteristics of soil water and salt in the northeast Tibetan Plateau from 2013 to 2023, inferred by geostatistical methods like ridge regression, windowed cross correlation, and machine learning algorithms. …”
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Reduced dimensionality space of features using spectral indices for detecting changes in multitemporal Landsat-8 images by Elvira Martínez de Icaya-Gómez, Estíbaliz Martínez-Izquierdo, Montserrat Hernández-Viñas, Jose E. Naranjo-Hernández

“…Moreover, Land Surface Temperature (LST) maps have been obtained from water bodies for correlation purposes. …”
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Prediction of Weld Geometry in Laser Overlap Welding of Low-Carbon Galvanized Steel by Kamel Oussaid, Narges Omidi, Abderrazak El Ouafi, Noureddine Barka

“…This study presents an artificial neural network (ANN)-based predictive model trained on a combination of experimental data and validated FEM simulations to estimate key weld characteristics, including depth of penetration (DOP), weld bead width at the surface (WS), and weld bead width at the interface (WI). …”
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Prediction of clinical pregnancy after frozen embryo transfer based on ultrasound radiomics: an analysis based on the optimal periendometrial zone by Fangfang Xu, Ying Zhang, Qianqing Ma, Lili Hu, Yu Li, Chuanfen Gao, Peipei Guo, Xianyue Yang, Yi Zhou, Jie Zhang, Heng Wang, Chaoxue Zhang

“…We constructed models of the EN and optimal PEZ using six machine learning algorithms. We developed a combined model using the radiomics characteristics of EN and the optimal PEZ. …”
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High strength self-compacting concrete as thin slabs: a car parking field study by José Tadeu Balbo, Andréia Posser Cargnin, Eric Ribeiro da Silva, Edvaldo Simões da Fonseca Junior, Lidiane de Oliveira Blank

“…The surface and structural characteristics resulting from the pioneer application were verified by texture tests and dynamic load tests (Falling Weight Deflectometer). …”
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Seabed Geoacoustic Analysis Using Scientific Single Beam Echosounder by La Elson La Elson, Henry M. Manik Manik, Totok Hestirianoto Hestirianoto, Sri Pujiyati Pujiyati

“…The purpose of the research was to identify the geoacoustic characteristics and spatial mapping of the seabed substrate in Lancang Island. …”
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