Variation in nitrogen uptake and utilization efficiency in spinach genotypes and its evaluation by LIU Min-na, LIU Xiao-xia, DING Wen-ya, CHEN Qiu-hui, LIN Xian-yong

“…The path coefficient analysis revealed that NUE was dominated by N uptake efficiency, while N utilization efficiency also had some contribution to NUE at the two different N levels.In sum, significant differences in NUE are found among 30 spinach genotypes and it is feasible to select N-efficient spinach genotypes from the existing varieties. …”
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Full cost accessibility by Mengying Cui, David Levinson

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Deep Reinforcement Learning-Assisted Teaching Strategy for Industrial Robot Manipulator by János Simon, László Gogolák, József Sárosi

“…By modeling trajectories and states within these systems, the robot achieves sequential tracking of arbitrary states, facilitating efficient task execution in various scenarios. Experimental results demonstrate the algorithm’s efficacy in manipulation tasks and path planning in dynamic environments. …”
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Interference Reduction by Millimeter Wave Technology for 5G-Based Green Communications by Tin-Yu Wu, Tse Chang

“…Because the number of macro-cells will affect the communication quality and the computational complexity, this paper especially focuses on three factors of a network: delay, capacity, and path loss, and purposes to figure out the most energy-efficient BS densities for 5G-based green communications.…”
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Complete Coverage Path Planning for Wind Turbine Blade Wall-Climbing Robots Based on Bio-Inspired Neural Networks and Energy Consumption Model by Da Chen, Gang Yu, Shuchen Huang

“…Wind turbine blades, being the most expensive and failure-prone components, directly affect operational stability and energy efficiency. The efficient and precise inspection of these blades is therefore essential to ensuring the sustainability and reliability of wind energy production. …”
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FPES-IDS: Forecast-Path and Exponential Smoothing-Based Intrusion Detection System to Mitigate Blackhole Attack in RPL-Based 6LoWPANs by V. R. Rajasekar, S. Rajkumar

“…While traditional Intrusion Detection Systems (IDS) offer some level of protection, the expansion of the Internet of Things (IoT) in Low-Power and Lossy Networks (LLNs) requires more adaptive and resource-efficient solutions. This paper presents the Forecast-Path and Exponential Smoothing-based Intrusion Detection System (FPES-IDS) to detect and mitigate BHA in RPL-based IPv6 over Low-Power Wireless Personal Area Networks (6LoWPANs). …”
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Navigation control of unmanned aerial vehicles in dynamic collaborative indoor environment using probability fuzzy logic approach by Sameer Agrawal, Bhumeshwar K. Patle, Sudarshan Sanap

“…The system's performance is validated through simulations and real-world experiments, comparing path length and travel time. On comparing the simulation and experimental results, the proposed PFL-based controller has been proven to be efficient, accurate, and robust for both static and dynamic and simple to complex environments. …”
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An Energy-Efficient and Fault-Tolerant Convergecast Protocol in Wireless Sensor Networks by Ting Yang, ChunJian Kang, Guofang Nan

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A Mobility-Aware Efficient Routing Scheme for Mobile Sensor Networks by Jinman Jung, Yookun Cho, Jiman Hong

“…The cluster provides the stable paths between less mobile entities efficiently. Our scheme also uses mobile information to evaluate and select alternative paths during a route discovery process, thus allowing sensor nodes dynamically to adapt to varying mobile networks. …”
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An Efficient Deep Learning Framework for Revealing the Evolution of Characterization Methods in Nanoscience by Hui-Cong Duan, Long-Xing Lin, Ji-Chun Wang, Tong-Ruo Diao, Sheng-Jie Qiu, Bi-Jun Geng, Jia Shi, Shu Hu, Yang Yang

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The Origin of the Gas and Its Low Star Formation Efficiency in Quiescent Galaxies by Yang A. Li, Luis C. Ho, Jinyi Shangguan, Zhao-Yu Li, Yingjie Peng

“…The discovery of gas-rich QGs challenges our conventional understanding of the evolutionary paths of galaxies. We take advantage of a new catalog of nearby massive galaxies with robust uniformly derived physical properties to better understand the origin of gas-rich QGs. …”
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Efficient curve fitting with penalized B-splines for oceanographic and ecological applications by Kwan-Young Bak, Dong-Young Lee, Ju-Seong Lee, Hee-Jung Jee, R. Jisung Park, Ja-Yong Koo, Jae-Hwan Jhong

“…By leveraging group penalties and the Alternating Direction Method of Multipliers (ADMM) algorithm, the method ensures consistency across response variables and computational efficiency. We applied this approach to two real-world datasets: oceanographic drifter data in the Niño 4 region and Demoiselle Crane migration data. …”
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Energy Efficient Multipath Routing Protocol for Mobile Ad-Hoc Network Using the Fitness Function by Aqeel Taha, Raed Alsaqour, Mueen Uddin, Maha Abdelhaq, Tanzila Saba

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Detour-Straddle 3D-like path planning of unmanned mining truck in open pit mines based on optimized ant colony algorithm by Mingyu GAO, Jiusheng BAO, Yan YIN, Deping HU, Kekun ZHANG, Chenzhong ZHU, Maosen WANG, Kai WANG

“…In order to solve the problem of low driving efficiency and poor path quality caused by excessive detour during path planning, a “3D-like” path planning method based on optimized ant colony algorithm was proposed, and its effectiveness was verified by simulation and experiment. …”
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Autonomous UAV Path Optimization Using Genetic and Multiobjective Evolutionary Algorithms for Effective Data Retrieval in Cache-Enabled Mobile Ad-Hoc WSNs by Umair B. Chaudhry, Chris Ian Phillips

“…Traditional methods rely on specialized routing protocols designed for these environments, with research often aimed at improving efficiency in terms of throughput and energy consumption. …”
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Dual-Path Model of Team Communication and Shared Mental Models in Entrepreneurial Education: Enhancing Team Efficacy in Higher Education Using PLS-SEM by Shuangshuang Fan, Shali Wang, William Mbanyele, Yongliang Zhang

“…This study explores the influence of team communication (TC) and shared mental models (SMMs) on entrepreneurial team efficacy (ETE) within the context of Chinese higher education, introducing a dual-path model to reconcile the discrepancy between policy expectations and practical outcomes in entrepreneurship education. …”
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Personalized learning path optimization based on enhanced deep neural network: higher education teaching model integrating learner behavior and cognitive style by Xiaomei Ding, Huaibao Ding, Fei Zhou, Lihong Zhao

“…This model outperforms others in terms of accuracy for personalized learning path recommendations. The model can efficiently integrate learners' behavioral data and cognitive styles, adjust learning paths in real-time, and demonstrate rapid response and optimization capabilities in practical applications.…”
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Multi-UAV Delivery Path Optimization Based on Fuzzy C-Means Clustering Algorithm Based on Annealing Genetic Algorithm and Improved Hopfield Neural Network by Song Liu, Di Liu, Meilong Le

“…The results show that during clustering, the improved clustering algorithm is more stable in its clustering effect. With regard to path optimization, the improved neural network algorithm has a higher computational efficiency and makes it easier to obtain the global optimal solution. …”
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Design of improved JAYA algorithm for cigarette finished product logistics delivery by Jun Wen, Yewei Hu, Le Li, Zongrui Wu, Guangwei Xiao, Kai Guo, Lei Li

“…The study also constructs a logistics delivery path planning model for finished cigarette products based on the enhanced algorithm. …”
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Research on Vehicle Road Noise Prediction Based on AFW-LSTM by Yan Ma, Ruxue Dai, Tao Liu, Jian Liu, Shukai Yang, Jingjing Wang

“…However, using the traditional TPA (transfer path analysis) method and CAE (Computer-Aided Engineering) method to analyze the road noise problem has the problems of complex transfer path, difficult acquisition of modeling parameters, long duration and high cost. …”
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