Analyzing Antecedent Configurations of Group Emotion Generation in Public Emergencies: A Multi-Factor Coupling Approach by Xiaohan Yan, Yi Liu, Yan Chen, Tiezhong Liu

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Saturation Characteristics of Multi‐Band EMIC Waves in the Inner Magnetosphere and Observational Evidence for the Second Saturation Process by Zuxiang Xue, Zhigang Yuan, Dan Deng, Xiongdong Yu

“…Recent quasilinear theory analysis shows existence of a second saturation of multi‐band EMIC waves which exhibits a dip of the total amplitude, emphasizing the need for more precise band‐specific models. …”
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Development of Multi-Phase Solid Formation for Dissolution Enhancement of Higher Drug Loading Phase-Separated Melt by Bolor-Uyanga Tumurbaatar, Hiroshi Takiyama

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Estimating soil profile salinity under vegetation cover based on UAV multi-source remote sensing by Zhenhai Luo, Meihua Deng, Min Tang, Rui Liu, Shaoyuan Feng, Chao Zhang, Zhen Zheng

“…This study employed field-controlled soil experiments to collect multi-source remote sensing data on soil salt content (SSC) at varying depths beneath barley growth. …”
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Syntalos: a software for precise synchronization of simultaneous multi-modal data acquisition and closed-loop interventions by Matthias Klumpp, Lee Embray, Filippo Heimburg, Ana Luiza Alves Dias, Justus Simon, Alexander Groh, Andreas Draguhn, Martin Both

“…Abstract Complex experimental protocols often require multi-modal data acquisition with precisely aligned timing, as well as state- and behavior-dependent interventions. …”
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Exploring Multi-Scale Thermal Behaviour in Pin-on-Disc Systems for Organic, Metallic, Ceramic, and Polymer Composites by Hemant Nagoriya, Gaurav Arora

“…This paper presents a multi-scale strategy for the thermal simulation of frictional systems, such as brakes, considering the microscale properties of the polymer composites. …”
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Identification of novel pQTL‐SNPs associated with lung adenocarcinoma risk: A multi‐stage study by Yutong Wu, Huiwen Xu, Liping Mao, Rongrong Zhao, Junfeng Chu, Lili Huang, Wendi Zhang, Yiran Liu, Qiong Chen, Xiaobo Tao, Siqi Li, Shenxuan Zhou, Anhui Ning, Zhenyu Li, Tian Tian, Lei Zhang, Jiahua Cui, Guangyu Tian, Minjie Chu

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A purposeful multi-stakeholder learning dialogue (PMSLD) approach to mitigate high-conflict collective bargaining by Pay Shabangu, Corné Meintjes, Siphelo Ngcwangu

“…To address these, a purposeful multi-stakeholder learning dialogue (PMSLD) is proposed, that blends dialogic communication and dialogic orientation with stakeholders who are receptive, reciprocal and valued for their social roles.   …”
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Visualization of Snow Cover Changes in the Greater Caucasus Mountains Using Integrated Multi-Sensor Image Fusion by Imrani Zaur, Rasouli Aliakbar

“…The main goal of the current research was to visualize recent snow cover changes in the parts of the Greater Caucasus Mountains along Shahdag, Bazarduzu, and Tufandag months, using multi-sensor and multi- spectral satellite image processing. …”
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Artificial intelligence based prediction and multi-objective RSM optimization of tectona grandis biodiesel with Elaeocarpus Ganitrus by V Vinoth Kannan, Bhavesh Kanabar, J Gowrishankar, Ali Khatibi., Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Pushparaj Thomai, Jasmina Lozanović

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A MultiModal Detection Method for UHV Substation Faults Based on Robot Inspection and Deep Learning by Rong Meng, Zhao-lei Wang, Zhi-long Zhao, Jian-peng Li, Wei-ping Fu

“…Aiming at the problem of multi-modal fault detection of different equipment in ultrahigh voltage (UHV) substations, a method for based on robot inspection and deep learning is proposed. …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan, Nawal Aswan B. Abdul Jalil

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A multi-source data-driven approach for navigation safety integrating computational intelligence and Bayesian networks by Xiaotong Qu, Chengbo Wang, Chengbo Wang

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Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method by Yuxuan Bi, Peng Liu, Tianyi Zhang, Jialin Shi, Caixia Wang

“…To address these issues, this paper proposes a novel approach based on adaptive fusion of multi-scale sparse convolution and point convolution. …”
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Exploring the impact of robot interaction on learning engagement: a comparative study of two multi-modal robots by Ka Yan Fung, Kwong Chiu Fung, Tze Leung Rick Lui, Kuen Fung Sin, Lik Hang Lee, Huamin Qu, Shenghui Song

“…This study proposes an inclusive learning system developed on two multi-modal robots, Kebbi and Minibo, with interactive (i.e., movable hands) and straightforward features. …”
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Using Multi-Sensor Soil Moisture Probes to Decide When and How Long to Run Drip Irrigation by Sanjay Shukla, Nathan Holt

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Multi-functional code for hydrogen isotopes transport analyses: verification & validation against fusion-relevant applications by F. Hattab, V. Narcisi, C. Ciurluini, A. Trotta, A. Santucci, F. Giannetti

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Rethinking spatial-temporal contrastive learning for Urban traffic flow forecasting: multi-level augmentation framework by Lin Pan, Qianqian Ren, Zilong Li, Xingfeng Lv

“…Specifically, UrbanGCL proposes multi-level data augmentation to address data noise and incompleteness, learn both local and global topology features. …”
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A Deep Multi-Task Learning Model for OD Traffic Flow Prediction Between Highway Stations by Yaofang Zhang, Jian Chen, Jianying Rao

“…This paper proposes a multi-task prediction model for OD traffic between highway stations. …”
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MCF-DTI: Multi-Scale Convolutional Local–Global Feature Fusion for Drug–Target Interaction Prediction by Jihong Wang, Ruijia He, Xiaodan Wang, Hongjian Li, Yulei Lu

“…The model utilizes the SMILES representation of drugs and the sequence features of targets, employing a multi-scale convolutional neural network (MSCNN) with parallel shared-weight modules to extract features from the drug side. …”
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