THE EFFECTIVENESS OF «TED TALKS» VIDEO MATERIALS IN TEACHING ENGLISH AT A MEDICAL UNIVERSITY by Yu.V. Lysanets, O.M. Bieliaieva, H.Yu. Morokhovets

“…., therefore, they can contribute to the development of both hard and soft skills of undergraduate and Ph.D. students majoring in Health Care and Biology. …”
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Intelligent Counterforce Allocation Method Using Multi-Agent Reinforcement Learning for Ground Operations by Kiwoong Park, Sangheun Shim

“…The MARL agent is implemented using the Soft Actor-Critic algorithm and scaled through a Graph Attention Network to manage over 40 heterogeneous agents (infantry, tanks, and artillery). …”
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Optimal scheduling of BIES with multi-energy flow coupling based on deep RL by XIA Xuhua, YANG Jiandi, SHI Yongtao

“…Secondly， the state space， action space， and reward function for the operational dispatch strategy are designed using deep RL， and a low-carbon economic and optimal dispatch framework is constructed using the ​soft actor-critic （SAC） algorithm.​ Finally， the proposed method is validated in typical daily load scenarios in summer and winter. …”
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Predominance Preferential Selection for Minimizing Surplus Parts in the Selective Assembly of a Flow Production System by Kanghyeon Shin, Hyobin Son, Kyohong Jin

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Precise motion control for a space mining robot based on improved African vultures optimization by Baiyi Wang, Xinhua Liu, Marek Rydel, Dezheng Hua, Rafal Stanislawski, Hui Wang, Ke Feng, Zhixiong Li

“…Firstly, the kinematics model of robot’s wheels and the whole vehicle dynamics model in soft soil are established. Then, the optimal PID motion controller is developed based on the improved African vultures optimization algorithm (IAVOA). …”
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Machine Learning-Based Prediction of Unconfined Compressive Strength of Sands Treated by Microbially-Induced Calcite Precipitation (MICP): A Gradient Boosting Approach and Correlat... by Saeed Talamkhani

“…The current study applies a soft-computing approach based on the gradient boosting method to predict the unconfined compressive strength (UCS) of sands treated with microbially-induced calcite precipitation (MICP). …”
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Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods by Chu Zhang, Chang Wang, Fei Liu, Yong He

“…The potential of using mid-infrared transmittance spectroscopy combined with pattern recognition algorithm to identify coffee variety was investigated. …”
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Load–Settlement Modeling of Micropiled Rafts in Cohesive Soils Using an Artificial Intelligence Technique by Ahmed Elsawwaf, Hany El Naggar

“…The traditional design of foundations in soft clay often relies on large-diameter piles, which, although effective, are costly and impractical for low- to medium-rise buildings. …”
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Visual–Tactile Fusion and SAC-Based Learning for Robot Peg-in-Hole Assembly in Uncertain Environments by Jiaxian Tang, Xiaogang Yuan, Shaodong Li

“…Furthermore, we enhance the robot’s assembly skill ability by using the Soft Actor–Critic (SAC) reinforcement learning algorithm, which allows the robot to adapt its actions to dynamic environments. …”
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The potential key genes within focal adhesion that regulate mesenchymal stem cells osteogenesis or adipogenesis in microgravity related disuse osteoporosis: an integrated analysis by Haoyang Zhao, Xiaolin Tu

“…Micro - CT and histological analysis were done, and differentially expressed genes (DEGs) from GSE100930 were analyzed. Soft clustering on GSE80614 OS/AD samples found FA - related candidate genes. protein-protein interaction (PPI) network and cytoHubba’s Degree algorithm identified key FA - genes, validated by quantitative polymerase chain reaction (qPCR). …”
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Safe and Robust Binary Classification and Fault Detection Using Reinforcement Learning by Josh Netter, Kyriakos G. Vamvoudakis, Timothy F. Walsh, Jaideep Ray

“…In this paper, we propose a learning-based method utilizing the Soft Actor-Critic (SAC) algorithm to train a binary Support Vector Machine (SVM) classifier. …”
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AviaryMOT: Aviary Attention-based adaptive multi-object tracking of cranes and storks in wetlands by Chang Liu, Xuran Ma, Jiahong Zhou, Nini Sun, Hengming Liu

“…To tackle these issues, we propose a novel multi-target tracking algorithm, AviaryMOT, which utilizes a fusion technique that combines shallow and deep features to enhance tracking accuracy and effectiveness. …”
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Prediction of true critical temperature and pressure of binary hydrocarbon mixtures: A Comparison between the artificial neural networks and the support vector machine by M. Etebarian, k. movagharnejad

“…Two main objectives have been considered in this paper: providing a good model to predict the critical temperature and pressure of binary hydrocarbon mixtures, and comparing the efficiency of the artificial neural network algorithms and the support vector regression as two commonly used soft computing methods. …”
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Convolution of the physical point cloud for predicting the self-assembly of colloidal particles by Seunghoon Kang, Young Jin Lee, Kyung Hyun Ahn

“…This paper presents a novel algorithm for predicting the kinetic and thermodynamic pathways of colloidal systems. …”
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Performance Analysis of Superposition M-ary QAM Modulation in Coded Protograph LDPC MIMO Communication Systems With Low-Resolution ADCs by Duc A. Hoang, Hieu T. Nguyen, Thang N. Le

“…Our approach leverages a message-passing (MP) algorithm that decomposes each high-order symbol into multiple BPSK layers, enabling more tractable soft-interference cancellation and extrinsic information updates. …”
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Learning from Octopuses: Cutting-Edge Developments and Future Directions by Jinjie Duan, Yuning Lei, Jie Fang, Qi Qi, Zhiming Zhan, Yuxiang Wu

“…In addition, the distributed nervous system of octopuses inspires multi-processor architecture and intelligent optimization algorithms. This paper also introduces the concept of expected functional safety for the first time to explore the safe design of soft robots in failure or unknown situations. …”
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Robotic Integration of Massage and Real-Time Tissue Assessment: A Technological Framework by Yizhong Zhang, Hui Zhang, Chen Qiu, Shaosong Xie, Min Tang, Yue-Guang Fan

“…Compared with traditional soft tissue assessment devices, the massage robot equipped with a stiffness assessment system that leverages integrated sensors, enables real-time monitoring of soft tissue conditions during massage, thus integrates detection and treatment seamlessly. …”
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Flexible thin-film thermal sensor for estimating thermal transport properties designed for biomaterial applications by Takahiro Okabe, Ayumi Shiroto, Yuto Hiyama, Katsuhisa Taguchi

“…A trust-region reflective algorithm was used for robust minimization of the objective function. …”
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GNSS signal processing based on improved lifting wavelet transform with prior constraint by Chen Jiang, Wenbo Yang, Yiya Wang, Dongbao Zhao

“…Therefore, an improved three-segment soft threshold function was proposed to control the influence of the noises, and it is the prerequisite for extracting useful vibration information. …”
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Simulation and Prediction of Springback in Sheet Metal Bending Process Based on Embedded Control System by Jinhan Xu, Jun Yan, Yan Huang, Dawei Ding

“…To address this need and to enhance the efficacy of the bending process, this study presents the design and development of an embedded soft PLC (Programmable Logic Controller) rooted in the Codesys development platform and leveraging the ARM Cortex-A55 architecture. …”
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