Research and Application of Intelligent Human-machine Interaction for Train by LIAO Jifang, LIU Qunxin, LIN Jun, LIU Yue

Subjects: “…human-machine interaction…”
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Surface Acoustic Wave Interaction with a Mixture of Oxygen and Nitrogen by Mateusz PASTERNAK, Krzysztof JASEK, Michał GRABKA, Tomasz BOROWSKI

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Detection of frictional meltwater on snow surface using a humidity indicator by Shiraz Ahmed Siddiqui, Michael Hasler, Martin Mössner, Joost van Putten, Kurt Schindelwig, Werner Nachbauer

“…Strausky et al. (1998) used fluorescence spectroscopy to detect the meltwater layer. However, they concluded to have observed no water layer above their detection limit of 0.05 µm at speeds up to 0.1 m/s (an unrealistic speed of skiing). …”
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ESMII-Net: An edge-synergy and multidimensional information interaction network for remote sensing change detection by Yixin Chen, Xiaogang Ning, Ruiqian Zhang, Hanchao Zhang, Xiao Huang, You He

Subjects: “…Change Detection…”
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Global information aware network with global interaction graph attention for infrared small target detection by Ruimin Yang, Yidan Zhang, Guangshuai Gao, Liang Liao, Chunlei Li

“…To address these challenges, this study proposes a novel global information‐aware network with global interaction graph attention (GIGA) for infrared small target detection. …”
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Fast Bayesian inference for neutrino non-standard interactions at dark matter direct detection experiments by Dorian W P Amaral, Shixiao Liang, Juehang Qin, Christopher Tunnell

“…Using these techniques, we perform the first scan in the neutrino non-standard interactions parameter space for direct detection experiments whereby all parameters are allowed to vary simultaneously. …”
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Cross-modal interactive and global awareness fusion network for RGB-D salient object detection. by Runqing Li, Ling Yu, Zijian Jiang, Fanglin Niu

“…In this study, a Cross-modal Interactive and Global Awareness Fusion Network for RGB-D Salient Object Detection, named CIGNet, is proposed. …”
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Infrared object detection for robot vision based on multiple focus diffusion and task interaction alignment by Jixu Zhang, Li Wang, Hung-Wei Li, Meng-Yen Hsieh, Shunxiang Zhang, Hua Wen, Meng Chen

“…The task-aligned dynamic detection header enhances inter-task interaction by sharing convolutional and task-aligned structures, exploiting task interaction features to optimize detection accuracy while reducing the number of parameters to accommodate resource-constrained devices. …”
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IAE-CDNet: A Remote Sensing Change Detection Network for Buildings With Interactive Attention-Enhanced by Zhaoyang Han, Linlin Zhang, Qingyan Meng, Chongchang Wang, Wenxu Shi, Maofan Zhao

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Detection of testosterone based on the interaction between variable regions of antibody heavy chain and light chain by Guangwei Zhao, Guangwei Zhao, Shengshuo Zhang, Yujie Zou, Nan Jia, Liyuan Zheng, Jinhua Dong, Jinhua Dong

“…Subsequently, a novel non-competitive open-sandwich ELISA (OS-ELISA) was developed for testosterone detection, leveraging the antigen-induced interaction changes in antibody variable regions.ResultsOS-ELISA based on anti L-chain antibody achieved a limit of detection (LOD) of 2.71 nM and a half-maximal effective concentration (EC50) of 0.22 μM for testosterone detection. …”
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Can large language models detect drug–drug interactions leading to adverse drug reactions? by Justine Sicard, François Montastruc, Coline Achalme, Annie Pierre Jonville-Bera, Paul Songue, Marina Babin, Thomas Soeiro, Pauline Schiro, Claire de Canecaude, Romain Barus

“…Conclusion: LLMs can detect DDIs leading to pharmacovigilance cases, but cannot reliably exclude DDIs in cases without interactions. …”
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“One plate/three-reporter” assay format for the detection and validation of yeast two-hybrid interactions by David R.H. Evans, Kendra A. Swirsding, Bruce E. Taillon, Jan F. Simons

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Spatial-Temporal Semantic Feature Interaction Network for Semantic Change Detection in Remote Sensing Images by Yuhang Zhang, Wuxia Zhang, Songtao Ding, Siyuan Wu, Xiaoqiang Lu

“…Semantic Change Detection (SCD) in Remote Sensing Images (RSI) aims to identify changes in the type of Land Cover/Land Use (LCLU). …”
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Multiple Interactions in Polar Lead‐Free Perovskites toward Highly Stable X‐Ray Detection by Chang Qu, Jianbo Wu, Zeng‐kui Zhu, Qianwen Guan, Huang Ye, Ruiqing Li, Chengshu Zhang, Yaru Geng, Hang Li, Lijun Xu, Haiqing Zhong, Ailin Wang, Chengmin Ji, Zhenyue Wu, Junhua Luo

Subjects: “…interactions…”
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Cross-modal interactive and global awareness fusion network for RGB-D salient object detection by Runqing Li, Ling Yu, Zijian Jiang, Fanglin Niu

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TPI-Net: Time-Phase Interaction Network Based on Learnable Wavelet Attention for Remote Sensing Change Detection by Yekai Cui, Jintao Song, Jinjiang Li

“…To address these issues, we propose the Time-Phase Interaction Network based on Learnable Wavelet Attention (TPI-Net). …”
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The lived experience of migrant Syrian mothers’ interaction with the neonatal screening program by Mehmet Akif Sezerol, Zeynep Meva Altaş, Emrullah Arslan

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Real-Time SPR Biosensing to Detect and Characterize Fast Dissociation Rate Binding Interactions Missed by Endpoint Detection and Implications for Off-Target Toxicity Screening by William Martelly, Rebecca L. Cook, Chidozie Victor Agu, Lydia R. Gushgari, Salvador Moreno, Sailaja Kesiraju, Mukilan Mohan, Bharath Takulapalli

“…Accurate detection of biomolecular interactions is essential in many areas, from the detection of the presence of biomarkers in the clinic to the development of therapeutic drugs and biologics in biopharma to the understanding of various biological processes in basic research. …”
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MSCD-YOLO: A Lightweight Dense Pedestrian Detection Model with Finer-Grained Feature Information Interaction by Qiang Liu, Zhongmin Li, Lei Zhang, Jin Deng

“…In this paper, to address these issues, we propose a lightweight dense pedestrian detection model with finer-grained feature information interaction called MSCD-YOLO, which can achieve high accuracy, high performance and robustness with only a small number of parameters. …”
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Constraints on self-interaction cross-sections of dark matter in universal bound states from direct detection by G. Angloher, S. Banik, G. Benato, A. Bento, A. Bertolini, R. Breier, C. Bucci, J. Burkhart, E. Cipelli, L. Canonica, A. D’Addabbo, S. Di Lorenzo, L. Einfalt, A. Erb, F. v. Feilitzsch, S. Fichtinger, D. Fuchs, A. Garai, V. M. Ghete, P. Gorla, P. V. Guillaumon, S. Gupta, D. Hauff, M. Ješkovský, J. Jochum, M. Kaznacheeva, A. Kinast, S. Kuckuk, H. Kluck, H. Kraus, A. Langenkämper, M. Mancuso, L. Marini, B. Mauri, L. Meyer, V. Mokina, M. Olmi, T. Ortmann, C. Pagliarone, L. Pattavina, F. Petricca, W. Potzel, P. Povinec, F. Pröbst, F. Pucci, F. Reindl, J. Rothe, K. Schäffner, J. Schieck, S. Schönert, C. Schwertner, M. Stahlberg, L. Stodolsky, C. Strandhagen, R. Strauss, I. Usherov, F. Wagner, V. Wagner, V. Zema, CRESST Collaboration

“…In this work, we set bounds on $$\gamma $$ γ by studying the impact of darkonium on the observations at direct detection experiments using data from CRESST-III and XENON1T. …”
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