Detection of Stator Faults in Three-Phase Induction Motors Using Stray Flux and Machine Learning by Ailton O. Louzada, Wesley A. Souza, Avyner L. O. Vitor, Marcelo F. Castoldi, Alessandro Goedtel

“…Feature extraction and selection are performed using a hybrid strategy combining random forest-based ranking and collinearity filtering, optimizing classification accuracy while reducing computational complexity. …”
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Efficient Fourier base fitting on masked or incomplete structured data by Fariba Karimi, Fariba Karimi, Esra Neufeld, Arya Fallahi, Arya Fallahi, Vartan Kurtcuoglu, Niels Kuster, Niels Kuster

“…Quantitative evaluations on these benchmarks demonstrated that peak reconstruction errors in masked regions remained acceptable (i.e., below 10 % of the data range for all investigated benchmarks), while the proposed computational optimizations reduced matrix assembly time from 843 s to 11 s in 3D cases, demonstrating a 75-fold speed-up compared to unoptimized implementations. …”
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Efficient room-level heat load prediction in buildings using spatiotemporal distribution characteristics by Xin Tan, Kaixuan Xu, Yahui Wang, Qihui Yu, Yongheng Yu, Guoxin Sun

“…Empirical results show that this method requires only total inlet heat metering for multi-scenario predictions, reducing sensor deployment while achieving 7.02 % accuracy. …”
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Establishment of an in vitro co-infection model of Cryptosporidium parvum and Giardia duodenalis by Manuela Kirchner, Arwid Daugschies, Cora Delling

“…To investigate potential effects between these parasites and on host cells, a co-infection model with IPEC-J2 cells was established. Methods Optimal infection conditions and several infection doses of both parasites were tested. …”
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Mortality prediction of heart transplantation using machine learning models: a systematic review and meta-analysis by Ida Mohammadi, Setayesh Farahani, Asal Karimi, Saina Jahanian, Shahryar Rajai Firouzabadi, Mohammadreza Alinejadfard, Alireza Fatemi, Bardia Hajikarimloo, Mohammadhosein Akhlaghpasand

“…IntroductionMachine learning (ML) models have been increasingly applied to predict post-heart transplantation (HT) mortality, aiming to improve decision-making and optimize outcomes. This systematic review and meta-analysis evaluates the performance of ML algorithms in predicting mortality and explores factors contributing to model accuracy.MethodA systematic search of PubMed, Scopus, Web of Science, and Embase identified relevant studies, with 17 studies included in the review and 12 in the meta-analysis. …”
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FMRI insights into the neural alterations and clinical correlates in multiple sclerosis: A comprehensive overview of systematic reviews and meta-analyses by Sama Rahnemayan, Arezoo Fathalizadeh, Mehdi Behroozi, Mahnaz Talebi, Amirreza Naseri, Elham Mehdizadehfar

“…Methods: A systematic search of electronic databases and manual reference list checks at March 2024 yielded 470 articles. …”
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YOLOv5-MDS: Target Detection Model for PCB Defect Inspection Based on YOLOv5 Integrated With Mamba Architecture by Deming Guo, Qi Xi, Long Zhang, Jing Wang, Yilong Ye, Ziyi Zeng

“…Our primary objective was to refine the neck section of the YOLOv5 model by integrating the Mamba architecture within it. Additionally, we optimized the intersection over union (IoU) calculation method and the upsampling module. …”
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Environmental and psychosocial predictors of breast cancer screening among women in Gwagwalada Area Council, Abuja, North Central, Nigeria by Abah Ukpojo Angela, Adefisoye Adewole, Olugbenga-Bello Adenike Iyanuoluwa1

“…Results: The mean age of respondents was 38.36±11.6years. 275(53.5%) had good knowledge while 239(46.5%) had poor knowledge about BC. Assessment of utilization of screening method showed that 115(22%) of respondents had ever conducted a Breast Self-Examination while 1(0.2%) had conducted a mammography. …”
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Investigation of thermal transport across volume-controlled thermal interface materials by Jungmin Lee, Woosung Park

“…In this work, we use a screen printing and pressing method to apply thermal interface material in a consistent manner, enabling fundamental investigation to identify an optimal bond line thickness for thermal interface material. …”
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Sensitivity analysis of Cattaneo–Christov heat and mass flux model effects in Stefan blowing flow of ferromagnetic nanofluid: Numerical simulations by Fisal Asiri, Sohail Rehman, Nidhal Drissi

“…Sensitivity analysis (SA) using response surface methodology (RSM) is frequently used to optimize the efficiency of fluid dynamics research allowing accurate thermal performance, in energy systems, in biomedical applications, and for industrial cooling. …”
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Evaluation on nutritional components and nutritive quality in body of young fish Alosa sapidissima cultured in two different patterns by LIU Yongshi, JIANG Fei, SHI Yonghai

“…In order to understand the effects of different culture patterns on the nutritional components of fish body, young fish Alosa sapidissima cultured in outdoor and shaded ponds were analyzed by biochemical analysis method, and the nutritive quality was analyzed and compared. …”
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Beamforming Design and Covert Performance Analysis for Full-Duplex Multiantenna System by Ling Yang, Weiwei Yang, Liang Tang, Jia Tu, Xingbo Lu, Zhengyun He

“…More specifically, a covert message receiver with a FD multiantenna uses the zero forcing beamforming method to transmit randomly varying noise power to the adversary while receiving covert information from the sender. …”
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Big Data-Driven 3D Visualization Analysis System for Promoting Regional-Scale Digital Geological Exploration by Yiping Tian, Jiongqi Wu, Genshen Chen, Gang Liu, Xialin Zhang

“…Experimental validation shows the improved CMMN algorithm reduces cloud task completion time by 2.37% while increasing resource utilization by 0.652% compared with conventional methods. …”
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‘Rationality’ in Collective Escape Behaviour: Identifying Reference Points of Measurement at Micro and Macro Levels by Milad Haghani, Majid Sarvi

“…Evacuation behaviour of human crowds is often characterised by the notion of ‘irrational behaviour’. While the term has been frequently used in the literature, clear definitions and methods for measuring rationality do not exist. …”
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Cash Management Practices and Financial Growth of Small Medium Businesses in Uganda: A Case Study of Nyakyera Sub-County Ntungamo District. by Atuhurire, Darian

“…The objectives of the study are to optimize liquidity and control cash flows, meet working capital requirements, plan for capital expenditures, and enhance fund efficiency while minimizing costs for businesses in Nyakyera sub-county. …”
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A study of urban heat island of Banda Aceh City, Indonesia based on land use/cover changes and land surface temperature by Ashfa Achmad, Laina Hilma Sari, Ichwana Ramli

“…The 1998 LUC map had a kappa coefficient 0.91, while the 2018 LUC map had 0.84. It was found that the built-up area increased by 100%, while the vegetation category fell 50%. …”
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Pengembangan Video Dongeng Animasi Panji Untuk Menstimulasi Perkembangan Moral Anak Usia 4 – 5 Tahun by Salsabella Aurellya Pratysta Putri Bella, Ayu Titis Rukmana Sari, Epritha Kurnia Wati

“…The learning approach used is still conventional, such as lecturing and writing, and has not utilized technology optimally. In addition, the lack of local culture-based media is an obstacle in instilling moral values while preserving cultural heritage. …”
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Intercropping of Cereals with Lentil: A New Strategy for Producing High-Quality Animal and Human Food by Theodoros Gkalitsas, Fokion Papathanasiou, Theano Lazaridou

“…Intercropping in alternate rows generally outperformed mixed sowing, indicating the importance of spatial arrangement in optimizing resource use. These findings suggest that properly designed cereal–lentil intercropping systems can enhance yield and quality while supporting sustainable agricultural practices. …”
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Energy-Efficient Node Selection for Target Tracking in Wireless Sensor Networks by Yong Wang, Dianhong Wang

“…Saving energy while preserving accuracy is of paramount importance to target tracking in wireless sensor networks. …”
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Effects of Sinensetin, Eupatilin, and Jaceosidin on Human Melanogenesis: A Pilot Study by Shilpi Goenka

“…<b>Results:</b> Our findings show that SNT was a potent inhibitor of TYR activity in a cell-free assay, while EU and JAC had no effect. However, both SNT and EU were shown to exhibit anti-melanogenic activity (that was reversible) in human cells, while JAC was ineffective and cytotoxic. …”
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