Research on Train Autonomous Circumambulation System by QING Jianqiang, LEI Chengjian, LIANG Bo

“…This paper analyzes the disadvantages of traditional CBTC system in China’s urban rail transit, introduces the system architecture, principle and typical core functions of TACS (train autonomous circumambulation system), and gives a detailed comparison and analysis between TACS and traditional CBTC system.TACS is based on train to train and train to ground LTE-M-communication, which is based on train self-discipline, and characterized by train autonomous operation path, autonomous protection and autonomous operation adjustment. …”
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Human and environmental feature-driven neural network for path-constrained robot navigation using deep reinforcement learning by Nabih Pico, Estrella Montero, Alisher Amirbek, Eugene Auh, Jeongmin Jeon, Manuel S. Alvarez-Alvarado, Babar Jamil, Redhwan Algabri, Hyungpil Moon

“…A novel reward function is proposed to accommodate path constraints and steer the robot’s navigation policies during neural network training. …”
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Analysis on the Value Implication and Implementable Path of Legal Education in Colleges and Universities in the View of Multimedia by Jiang Li

“…Legal education is an indispensable part of talent training in colleges. Under the current background of the times, training talents who understand, know, and abide by the law is an indispensable mission of colleges. …”
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Path Planning for Robots Combined with Zero-Shot and Hierarchical Reinforcement Learning in Novel Environments by Liwei Mei, Pengjie Xu

“…Path planning for robots based on reinforcement learning encounters challenges in integrating semantic information about environments into the training process. …”
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BPDM-GCN: Backup Path Design Method Based on Graph Convolutional Neural Network by Wanwei Huang, Huicong Yu, Yingying Li, Xi He, Rui Chen

“…First, the BPDM-GCN backup path algorithm is constructed within a deep deterministic policy gradient training framework. …”
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Integrative whole slide image and spatial transcriptomics analysis with QuST and QuPath by Chao-Hui Huang, Sara Lichtarge, Diane Fernandez

“…We introduce QuST, a QuPath extension that bridges the gap between WSI and ST at single-cell level, highlighting the power of this integrated approach in disease biology.…”
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Negotiating a Career Path<subtitle>Women Artists in Norway after 1900</subtitle> by Signe Endresen

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Qualitative Evaluation of the Project P.A.T.H.S.: An Integration of Findings Based on Program Implementers by Daniel T. L. Shek

“…An integration of the qualitative evaluation findings collected from program implementers conducting the Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes) in different years (n=177 participants in 36 focus groups) was carried out. …”
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Reinforcement Learning-Based Continuous Action Space Path Planning Method for Mobile Robots by Weimin Zhang, Guoyong Wang

“…Then, by setting the reward function of the mobile robot based on the artificial potential field method, the information of the robot’s distance from obstacles is continuous, and a new reinforcement learning training process is proposed. Finally, by introducing a DDPG algorithm, the path planning of a mobile robot in an unknown environment is described as a Markov decision process, and the optimal planning of the mobile robot’s continuous action space path is realized with a high success rate. …”
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Participants’ Evaluation of the Project P.A.T.H.S.: Are Findings Based on Different Datasets Consistent? by Daniel T. L. Shek, Rachel C. F. Sun

“…Subjective outcome evaluation findings based on the perspective of the participants of the Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes) in nine datasets collected from 2005 to 2009 (n=206,313 program participants) were examined in this paper. …”
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Qualitative Evaluation of Project P.A.T.H.S.: An Integration of Findings Based on Program Participants by Daniel T. L. Shek, Rachel C. F. Sun

“…An integration of the qualitative evaluation findings collected in different cohorts of students who participated in Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes) (n=252 students in 29 focus groups) was carried out. …”
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SCLF algorithm for polar code based on GRU network assistance and path metric exchange by Jun LI, Lejia ZHOU, Zhengquan LI, Ru JI, Jintao ZHU, Xingxin LIU, Ziyi LIU

“…In order to solve the problems of low transmission performance, inaccurate flip set construction and high complexity of existing polar codes successive cancellation list bit-flip (SCLF) algorithms, a SCLF algorithm for polar codes based on GRU network assistance and path metric exchange was proposed.First the decoding state was redivided, and a bit-flip strategy was proposed by combining the ideas of path metric exchange and reverse judgment.Secondly, a flip set construction method was proposed by training the GRU network to locate the first erroneous bit in the decoding.Finally, a multi-bit flipping rule was proposed by sorting the path metric for each low-order flip and fixing the low-order reliable bits before performing the high-order flip.Simulation results show that compared with the existing SCLF algorithms, the proposed algorithm improves the accuracy of identifying the first error bit by 18～24% at low signal noise ratio.Under single-bit and multi-bit flipping, the proposed algorithm has a performance gain of up to 0.3 dB and 0.2 dB, respectively, and the online decoding complexity is lower.…”
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Understanding the factors influencing the human development index of Asian nations using path analysis by Ronel Geraldizo Dagohoy, Joeteddy Barzaga Bugarin, Leomarich Fortugaliza Casinillo

“…This study explores the factors influencing the Human Development Index (HDI) in Asian nations, focusing on Gross National Income (GNI) and the Gender Development Index (GDI) as key determinants. Using path analysis, the research analyzes secondary data from the United Nations Development Programme (UNDP) Human Development Report for 2021 - 2022. …”
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Dynamic Path Planning for Vehicles Based on Causal State-Masking Deep Reinforcement Learning by Xia Hua, Tengteng Zhang, Jun Cao

“…Deep reinforcement learning (DRL), with its superior performance in handling high-dimensional state spaces and complex dynamic environments, has been widely applied to dynamic path planning. Traditional DRL methods are prone to capturing unnecessary noise information and irrelevant features during the training process, leading to instability and decreased adaptability of models in complex dynamic environments. …”
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Representation Enhancement-Based Proximal Policy Optimization for UAV Path Planning and Obstacle Avoidance by Xiangxiang Huang, Wei Wang, Zhaokang Ji, Bin Cheng

“…Path planning and obstacle avoidance are pivotal for intelligent unmanned aerial vehicle (UAV) systems in various domains, such as postdisaster rescue, target detection, and wildlife conservation. …”
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Paths to Resilience and Success: The Role of Male Support in the Professional Growth of Female Teachers in Afghanistan by Sadiyah Ehsan Fjellrik, Marte Blikstad-Balas

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An Application of Machine Learning Methods to Cutting Tool Path Clustering and RUL Estimation in Machining by Fabio C. Zegarra, Juan Vargas-Machuca, Avid Roman-Gonzalez, Alberto M. Coronado

“…The clustering process helps to identify training and testing data with similar tool paths, which is then applied to build a simple two-feature prediction model with the same level of precision for RUL prediction as a more complex four-feature prediction model. …”
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MOTH: Memory-Efficient On-the-Fly Tiling of Histological Image Annotations Using QuPath by Thomas Kauer, Jannik Sehring, Kai Schmid, Marek Bartkuhn, Benedikt Wiebach, Slaven Crnkovic, Grazyna Kwapiszewska, Till Acker, Daniel Amsel

“…This enables algorithms to count, measure, or evaluate those areas when trained properly. To achieve suitable training, datasets must be annotated and curated by users in programs like QuPath. …”
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Innovation and testing in general practitioners’ practice – the challenging path from idea to new practice by Tore Norendal Braathen, Toril Thorvaldsen Dale, Randi Brendbekken, Irene Øyeflaten

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Exploring the Path to Humanized L2 Education in Iran: A Qualitative Study of Determinants by Sajjad Zahedi Moghaddam, Behruz lotfi Gaskaree, Nasser Fallah

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