Numerical study of thermohydraulics induced by highly under-expanded jet during in-vessel LOCA for the CFETR WCCB concept by Jinghua Jiang, Jun He, Tianyu Chen, Lili Tong, Xuewu Cao, Songlin Liu

“…Comparisons of temperature and pressure variations at different monitoring points reveal that if the bursting valve is positioned at the furthest location, the pressure at the jet impingement surface may reach the VV’s pressure limit before the VV Pressure Suppression System is activated, as determined using the lumped-parameter analysis method. …”
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Calibration of DEM Parameters and Microscopic Deformation Characteristics During Compression Process of Lateritic Soil with Different Moisture Contents by Chao Ji, Wanru Liu, Yiguo Deng, Yeqin Wang, Peimin Chen, Bo Yan

“…This study aims to calibrate and validate discrete element method (DEM) models of lateritic soil at varying moisture contents of 20.51%, 22.39%, 24.53%, 26.28%, and 28.04% by integrating the Hertz–Mindlin contact mechanics with bonding and JKR cohesion models. …”
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Optimal DC-Link Voltage Mapping for SiC-Based EV Drives: Considering the Impact of a Synchronous Boost Converter by Sepideh Amirpour, Torbjorn Thiringer, Sima Soltanipour, Yu Xu

“…This involves a comprehensive analysis of power losses in a connected silicon carbide (SiC)-based converter-inverter system, incorporating temperature variations, alongside a finite element method (FEM) analysis of losses in an Interior Permanent Magnet (IPM) synchronous machine, accounting for variable DC-link voltages. …”
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Acute Respiratory Distress Identification via Multi-Modality Using Deep Learning by Wajahat Nawaz, Kevin Albert, Philippe Jouvet, Rita Noumeir

“…Our method integrates color and depth data using deep convolutional neural networks with a late feature fusion scheme. …”
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TSFANet: Trans-Mamba Hybrid Network with Semantic Feature Alignment for Remote Sensing Salient Object Detection by Jiayuan Li, Zhen Wang, Nan Xu, Chuanlei Zhang

“…However, the deeper underlying issue lies in how to effectively align and integrate local detail features with global semantic information. …”
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A Trimming Strategy for Mass Defects in Hemispherical Resonators Based on Multi-Harmonic Analysis by Yimo Chen, Fanrui Kong, Kai Zeng, Xiang Xi, Yan Shi, Dingbang Xiao, Xuezhong Wu

“…By integrating a rectangular pulse function into the mass distribution function to simulate etching grooves, spectral analysis revealed that groove depth and width determine the amplitude and gradient of introduced harmonics. …”
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A Machine Learning-Based Real-Time Remaining Useful Life Estimation and Fair Pricing Strategy for Electric Vehicle Battery Swapping Stations by Seyit Alperen Celtek, Seda Kul, A. Ozgur Polat, Hamed Zeinoddini-Meymand, Farhad Shahnia

“…However, ensuring fairness in battery pricing remains a significant challenge since variations in battery health and performance among swapped batteries can result in user dissatisfaction and operational inefficiencies. …”
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A path towards precision border irrigation combining hydrodynamic modelling and in-field sensor-based support by Paul Vandôme, Gilles Belaud, Mohamed Amine Berkaoui, Cédric Guillemin, François Charron, Crystèle Leauthaud

“…For some irrigation events, water savings could reach 50%. The methods and findings should serve as a basis for larger-scale studies integrating the adoption of sensors and real-time data for surface irrigation management.…”
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CR-CLCD: A cross-regional cropland change detection framework with multi-view domain adaptation for high-resolution satellite imagery by Zhendong Sun, Xinyu Wang, Yanfei Zhong

“…However, applying these methods to cross-regional or large-scale CNA detection presents several challenges: (1) Radiance-feature differences of croplands across regions i.e., crop type and phenology differences arising from variations in planting structures and seasonality; (2) Change-pattern differences of croplands across regions, i.e., differences in predominant change types resulting from distinct regional economic development characteristics. …”
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Implementation of personalized customization and enhanced experiences for cultural tourism resources using genetic algorithm-based virtual reality technology by Huiya Xing, Xiangyi Li, Min Liu, Yicong Zhong

“…It offers a distinct method of improving cultural tourism by combining Virtual Reality (VR), Genetic Algorithm (GA), and individual customization. …”
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Research on Robust Adaptive Model Predictive Control Based on Vehicle State Uncertainty by Yinping Li, Li Liu

“…Traditional MPC methods often suffer from infeasibility or deteriorated tracking accuracies when handling model mismatches and disturbances. …”
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On the inaccuracies of dental radiometers. by Adrian C Shortall, Mohammed A Hadis, William M Palin

“…Individual LCU irradiance values were normalized against IS data. The GS method yielded reproducible data with a 0.4% pooled coefficient of variation for the LCUs. …”
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Research on the surface water quality in the Huaihe River Basin and the gensis based on multivariate statistical analysis by Shuzhen Feng, Chaokai Zhang, Jiaheng Yan, Ke Ren, Ningbo Peng, Wei Jiang, Shouhua Liu

“…This study explored the latest spatial variation patterns of surface water quality in the HRB to cope with the increasingly severe challenges of water resource management. …”
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The Diversity, Richness, and Potential Health and Ecological Role of the Fungal Aerosols in Attica, Greece by Angelina Metaxatos, Dafni Georgiadou, Dimitris Hatzinikolaou, Gediminas Mainelis

“…Given the scarcity and discontinuity of data on aerial mycobiome, we aimed to investigate the diversity, concentration, and variation of aerial fungal community in Attica, Greece. …”
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LGC-YOLO: Local-Global Feature Extraction and Coordination Network With Contextual Interaction for Remote Sensing Object Detection by Qinggang Wu, Yang Li, Junru Yin, Xiaotian You

“…Extensive experiments on three commonly used remote sensing datasets of NWPU VHR-10, VisDrone 2019, and DOTA demonstrate the superiority of our method in object classification and localization compared to other state-of-the-art methods.…”
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Potassium Clearance in Optic Nerve: A Multidomain Model by Shanfeng Xiao, Huaxiong Huang, Robert Eisenberg, Zilong Song, Shixin Xu

“…Numerical simulations were performed using a finite volume method under axisymmetric geometry, and parameter sensitivity was explored through variations in glial membrane conductance, connexin permeability, and aquaporin-4 (AQP4) expression. …”
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Remote Sensing and Machine Learning for Eutrophication Detection: Assessing the Trophic State in Reservoirs Using Multispectral Indices and Deep Learning by Ruben Usamentiaga, Jose Sal, Pelayo Elvira

“…To address this limitation, remote sensing techniques are proposed as an alternative method to assess trophic states. In this study, satellite imagery is utilized to monitor 20 reservoirs from 2017 to 2024, resulting in a dataset of 496 images paired with corresponding in situ measurements. …”
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The Impact of Gender Factor on the Formation of Career Aspirations of Military Personnel of the Armed Forces of Ukraine by Tetiana Khraban, Mykhailo Khraban

“…The study uses the psycholinguistic research method, specifically a free association experiment. …”
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A multi-patch-based deep learning model with VGG19 for breast cancer classifications in the pathology images by Anitha Ponraj, Palanigurupackiam Nagaraj, Duraisamy Balakrishnan, Parvathaneni Naga Srinivasu, Jana Shafi, Wonjoon Kim, Muhammad Fazal Ijaz

“…Purpose Breast cancer encompasses various subtypes with distinct prognoses, necessitating accurate stratification methods. Current techniques rely on quantifying gene expression in limited subsets. …”
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CenterNet-Elite: A Small Object Detection Model for Driving Scenario by Lingling Wang, Xiang Li, Xiaoyan Chen, Bin Zhou

“…A series of comparative experiments and ablation studies demonstrate the effectiveness of our method in small object detection. The CenterNet-Elite achieves a 2.3% increase in the average precision on the large-scale small object detection dataset (SODA-D).…”
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