Enhanced Lithium Extraction from Brines: Prelithiation Effect of FePO4 with Size and Morphology Control by Xiaoyu Zhao, Shuo Yang, Xiuli Song, Yushuang Wang, Hui Zhang, Muhan Li, Yanfei Wang

“…The electrochemical method is green and efficient. Iron phosphate (FePO4) crystal, with its 1D ion channel, holds significant potential as a primary lithium extraction electrode material. …”
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Cognitive Model of Electronic Learning Trajectories Based on Digital Footprint by T M. Shamsutdinova

“…The proposed electronic course allows, in particular, to realize the cognitive model of the educational process by varying the learning tasks and their learning paths.Conclusion. The considered methodology for formation of an educational trajectory based on a digital footprint is intended to improve the educational process, increase its efficiency by strengthening control over the current level of formation of students’ competencies. …”
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Prospects for the Application of Nanotechnologies to the Computer System Architecture by M. Mazur, J. Partyka

“…Along with the reduction of transistor dimensions their operation speed and efficiency grow. However, the hitherto observed developmental path of classical electronics with its focus on the miniaturization of transistors and memory cells seems arriving at the limits of technological possibilities because of technical problems as well as physical limitations related to the appearance of new nano-scale phenomena as e.g. quantum effects. …”
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Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price Approach by Zekang Lan, Shiwei He, Rui Song, Sijia Hao

“…Since the connection-based model is difficult to solve by optimization software for a medium-scale or large-scale instance, a designed path-based model is developed. A Benders-and-Price algorithm by combining the Benders decomposition and column generation is proposed to solve the LP-relaxation of the path-based model, and a bespoke Branch-and-Price is used to obtain the integer solution. …”
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A New Type of DC-DC Buck Converter with Soft Start Function and Reduced Voltage Stress by Xin Wang, Zishuo Li, Zhen Lin, Fanyi Meng

“…This paper introduces a novel topology called the dual-path step-down converter with auxiliary switches to minimize voltage stress and enable wide voltage conversion ranges. …”
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A Lightweight Caching Decision Strategy Based on Node Edge-Degree for Information Centric Networking by Qifeng Yang, Haojiang Deng, Lingfang Wang

“…This paper focuses on the research of lightweight on-path caching. Our caching strategy is proposed according to the edge-degree of routers along the forwarding path. …”
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Incorporation of Mean/Maximum Stress Effects in the Multiaxial Racetrack Filter by Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Hao Wu

“…The MRF efficiency is evaluated from tension-torsion experiments in 316L stainless steel tubular specimens under non-proportional (NP) load paths, showing it can robustly filter out nondamaging events even under multiaxial NP variable amplitude loading histories. …”
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Multigraph Modeling for Urban Distribution of Emergency Commodities with Semisoft Time Windows under Uncertainty by Hamid Tikani, Mostafa Setak, Darya Abbasi

“…To efficiently solve the presented model, an enhanced nondominated sorting genetic algorithm II (NSGA-II) is proposed. …”
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Motion Planning for Mobile Manipulators Based on an Improved A* Algorithm and Manipulability by Cao Yi, Zhu Boyu, Gu Chao, Zhao Zhihua, Guo Yinhui

“…Firstly, on the basis of conventional A* algorithm, eight search directions were simplified to five to improve the search efficiency. At the same time, a new heuristic search function was designed, and Floyd algorithm was introduced into the A* algorithm to increase the smoothness of the path. …”
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Aberrant Whole-Brain Resting-State Functional Connectivity Architecture in Obsessive-Compulsive Disorder: An EEG Study by Bo Tan, Jing Yan, Junjun Zhang, Zhenlan Jin, Ling Li

“…Compared with HCs, OCD patients exhibited not only decreased global synchronization in terms of phase synchrony but also aberrant global topological properties (decreased average shortest path lengths and normalized shortest path lengths together with increased global efficiencies and normalized clustering coefficients) together with inhibited intra-hemispheric and interhemispheric FCs during rest, which suggested an imbalance between functional integration and segregation of brain networks for OCD patients. …”
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Onboard Decision-making System of Unmanned Mine Truck by WANG Jia, HUANG Jiade, LIU Zhicong, HUANG Peng, LYU Liang

“…Motion planning includes speed planning and path planning. This paper adopts the quadratic programming algorithm based on the shortest time and the optimal energy consumption to solve the speed planning, and adopts the hybrid A-star and curve fitting algorithm based on special scenarios to solve the local path planning, so that the operation efficiency can be improved by 10%~20% in the loading and unloading parking scenario. …”
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Dynamic Obstacle Avoidance for Robotic Arms Using Deep Reinforcement Learning with Adaptive Reward Mechanisms by Sen Yan, Yanping Zhu, Wenlong Chen, Jianqiang Zhang, Chenyang Zhu, Qi Chen

“…First, a dynamic exploration guidance mechanism is designed to enhance learning efficiency and reduce ineffective exploration. Second, an adaptive reward function is developed to enable real-time path-planning while avoiding obstacles. …”
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Optimizing TSP-MMC Performance in Non-Homogeneous Environments by Yessica Yazmín Calderon-Segura, Gennadiy Burlak, Jośe Antonio García Pacheco

“…To address this problem, we propose using the hybrid TSP-MMC algorithm to identify the minimum optical path S that connects the emitters embedded in a percolating cluster. …”
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Nonreciprocal conversion based on line trajectory near exceptional points by Qingjie Liu, Wenrui Liu, Tong Li, Yingquan Ao, Shaolin Ke

“…Compared to the widely used loop path, the line path has the merit of easy preparation in experiments as only one parameter is changed. …”
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A Review of Research on Fruit and Vegetable Picking Robots Based on Deep Learning by Yarong Tan, Xin Liu, Jinmeng Zhang, Yigang Wang, Yanxiang Hu

“…Fruit and vegetable picking robots are considered an important way to promote agricultural modernization due to their high efficiency, precision, and intelligence. However, most of the existing research has sporadically involved single application areas, such as object detection, classification, and path planning, and has not yet comprehensively sorted out the core applications of deep learning technology in fruit and vegetable picking robots, the current technological bottlenecks faced, and future development directions. …”
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Research on LSTM-PPO Obstacle Avoidance Algorithm and Training Environment for Unmanned Surface Vehicles by Wangbin Luo, Xiang Wang, Fang Han, Zhiguo Zhou, Junyu Cai, Lin Zeng, Hong Chen, Jiawei Chen, Xuehua Zhou

“…These results indicate that the LSTM-PPO algorithm can effectively enhance the search efficiency and optimize the path planning in obstacle avoidance for unmanned boats, rendering it more rational.…”
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Intelligent Obstacle Avoidance Algorithm for Mobile Robots in Uncertain Environment by Liwei Guan, Yu Lu, Zhijie He, Xi Chen

“…When there are obstacles, the path is dominated by straight lines, obstacle avoidance planning is optimal, and the distance is shorter. …”
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Optimizing Route Planning via the Weighted Sum Method and Multi-Criteria Decision-Making by Guanquan Zhu, Minyi Ye, Xinqi Yu, Junhao Liu, Mingju Wang, Zihang Luo, Haomin Liang, Yubin Zhong

“…Choosing the optimal path in planning is a complex task due to the numerous options and constraints; this is known as the trip design problem (TTDP). …”
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The Role of Accounting Learning in Forming Financial Attitudes and Its Contribution to the Level of Financial Management of Bidikmisi Students by Kuswanto Kuswanto, Neneng Anjarwati

“… Bididikmisi scholarship students' financial limitations require them to manage them effectively and efficiently. Students' awareness of managing finances is based on their attitudes formed through financial literacy resulting from the financial learning process. …”
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Airborne sound insulation performance of lightweight double leaf walls with different stud types by Hequn Min, Bo Wang, Ting Qu

“…Due to the complex and varied stud configurations in double leaf walls, accurately and efficiently predicting the sound transmission loss (STL) of such structures poses a significant challenge. …”
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