Ion recognition enables fast Mg–Cl bond dissociation kinetics and better Mg plating/stripping reversibility by Jiacheng Yang, Jinlei Zhang, Kun Zhang, Jing Liu, Zhenfang Zhou, Zhenjiang Li, Guicun Li, Guanglei Cui, Zhonghua Zhang

“…The exposed electron-rich N/O sites and electron-deficient Co sites can regulate the adsorbing structure configuration of [Mg-Cl]+ complex ions by selectively bonding with the Mg2+ and Cl– through chemical coordination linkage, respectively. …”
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SWIPT-Enabled Cooperative Wireless IoT Networks With Friendly Jammer and Eavesdropper: Outage and Intercept Probability Analysis by Dinh Tung Vo, Trinh Van Chien, Tan N. Nguyen, Dinh-Hieu Tran, Miroslav Voznak, Byung Seo Kim, Lam Thanh Tu

“…In this context, a low-complexity, sub-optimal, but efficient relay selection method is proposed. …”
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Anatomy of Deep Learning Image Classification and Object Detection on Commercial Edge Devices: A Case Study on Face Mask Detection by Dimitrios Kolosov, Vasilios Kelefouras, Pandelis Kourtessis, Iosif Mporas

“…Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between accuracy and complexity, second, various optimization options, frameworks and libraries are available that need to be explored, third, a wide range of edge devices are available with different computation and memory constraints. …”
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Optimizing Labour Contractor Choices with MCDM: A Modern Approach to Construction Management by Khartode Bhagyashree, Shewale Manisha, Gobinath R.

“…Web based solution using MCDM techniques includes an easy-to-use interface that provides stakeholders with a simple and transparent process for selecting labour contractors. Criteria include skills competency, availability schedules, track record, cost-efficiency and geographic location. …”
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A Lightweight Deep Learning Network with an Optimized Attention Module for Aluminum Surface Defect Detection by Yizhe Li, Yidong Xie, Hu He

“…Additionally, we introduced an optimized Convolutional Block Attention Module (CBAM) to further enhance network efficiency. Furthermore, we employed the genetic K-means algorithm to optimize prior region selection, and a lightweight Ghost model to reduce network complexity by 14.3%, demonstrating the superior performance of the Ghost model in terms of loss function optimization during training and validation as well as in terms of detection accuracy, speed, and stability. …”
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Forward Position Solution of Redundantly Constrained Cable-driven Parallel Robot by Tao Ye, Zhang Shangying, Wang Yanwei

“…Five pose combinations are selected to verify the high efficiency of the algorithm. …”
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Dynamic Closed-Loop Validation of a Hardware-in-the-Loop Testbench for Parallel Hybrid Electric Vehicles by Marc Timur Düzgün, Christian Heusch, Sascha Krysmon, Christian Dönitz, Sung-Yong Lee, Jakob Andert, Stefan Pischinger

“…The complexity and shortening of development cycles in the automotive industry, particularly with the rise in hybrid electric vehicle sales, increases the need for efficient calibration and testing methods. …”
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CO2‐DBU‐Triggered Photoredox‐Catalyzed Direct α‐C‐H Alkylation of Alcohols by Zeyu Zhang, Zongchang Han, Yuhao Shang, Han‐Shi Hu, Jun Li, Chanjuan Xi

“…This strategy opens new avenues for efficient alkylation of ordinary alcohols, offering an environmentally friendly approach to complex molecular synthesis.…”
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Combination of Density‐Based Spatial Clustering With Grid Search Using Nash Equilibrium by Uranus Kazemi, Seyfollah Soleimani

“…The use of Nash equilibrium allows the identification of clusters with different densities and the determination of DBSCAN parameters and the selection of cells from the network, and significantly improves the efficiency and accuracy of the clustering process. …”
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Multi-Level Thresholding Based on Composite Local Contour Shannon Entropy Under Multiscale Multiplication Transform by Xianzhao Li, Yaobin Zou

“…Experimental results on synthetic images and real-world images with complex backgrounds, low contrast, blurred boundaries, and unbalanced sizes demonstrate that the proposed method outperforms six recently proposed multi-level thresholding methods based on the Matthew’s correlation coefficient, indicating stronger adaptability and robustness for segmentation without requiring complex parameter tuning.…”
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Calculation Method of Phenotypic Traits for Tomato Canopy in Greenhouse Based on the Extraction of Branch Skeleton by Xiaodan Ma, Qiu Jiang, Haiou Guan, Lu Wang, Xia Wu

“…Automatic acquisition of phenotypic traits in tomato plants is important for tomato variety selection and scientific cultivation. Because of time-consuming and labor-intensive traditional manual measurements, the lack of complete structural information in two-dimensional (2D) images, and the complex structure of the plants, it is difficult to automatically obtain the phenotypic traits of the tomato canopy. …”
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Determination of Nitrate Nitrogen and Nitrite Nitrogen in Brackish and Saline Waters by Flow Injection Analysis by Hongbin SUN, Huiyuan ZANG, Xin ZHANG, Yun ZHU, Lei WANG

“…Among them, chromatography and electrochemistry require expensive and complex instruments or reagent; while spectrophotometry, although using simple equipment, has complex manual operation. …”
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Logging evaluation methods of low-organic matter fault-block shale oil in the Subei Basin and their application by QIAN Shiyou, YANG Zhiqiang, XU Chen

“…This shale exhibits diverse lithofacies types, complex pore structures, strong reservoir heterogeneity, and significant lateral variations in pressure coefficients. …”
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Forming a set of Public relations events at catering establishments by A.Yu. Mohylova, M.A. Vozniuk

“…The segments of the catering market are identified and the characteristics of the promotions is provided. The problems of efficiency of application of separate elements of promotion are selected. …”
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Benchmarking quantum chemical methods with X-ray structures via structure-specific restraints by Birger Dittrich, Rok Breznikar, Gianluca Santarossa, Pamela Whitfield, Henrik Moebitz

“…There is a need for fast, efficient and accurate solid-state structure optimization for imprecise crystal structures (`augmentation') for subsequent property prediction in the pharmaceutical industry. …”
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A Real-Time Lane Detection Algorithm Based on Intelligent CCD Parameters Regulation by Ping-shu Ge, Lie Guo, Guo-kai Xu, Rong-hui Zhang, Tao Zhang

“…Lane departure warning system (LDWS) has been regarded as an efficient method to lessen the damages of road traffic accident resulting from driver fatigue or inattention. …”
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Late-stage O-sulfation with a bioinspired sulfuryl donor by Ye Zheng, Li Huang, Chunlan Song, Jiakun Li

“…In nature, 3′-phosphoadenosine-5′-phosphosulfate (PAPS) and p-nitrophenyl sulfate (PNPS) are efficient sulfuryl donors. However, most chemical sulfuryl donors in O-sulfation, typically require harsh conditions and have not been demonstrated in complex molecules. …”
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COMBINED METHOD OF RANKING OPTIONS IN PROJECT DECISION SUPPORT SYSTEMS by Vladimir Beskorovainyi

“…The practical use of the results obtained due to the proposed procedure for determining the set of effective solutions will reduce the time and capacitive complexity of decision support, and due to the use of the maximin procedure for selecting options in the synthesis of the estimation model – to improve the quality of design solutions.…”
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GAPO: A Graph Attention-Based Reinforcement Learning Algorithm for Congestion-Aware Task Offloading in Multi-Hop Vehicular Edge Computing by Hongwei Zhao, Xuyan Li, Chengrui Li, Lu Yao

“…Efficient task offloading for delay-sensitive applications, such as autonomous driving, presents a significant challenge in multi-hop Vehicular Edge Computing (VEC) networks, primarily due to high vehicle mobility, dynamic network topologies, and complex end-to-end congestion problems. …”
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Research on a traditional Chinese medicine case-based question-answering system integrating large language models and knowledge graphs by Yuchen Duan, Qingqing Zhou, Yu Li, Chi Qin, Ziyang Wang, Hongxing Kan, Hongxing Kan, Jili Hu, Jili Hu

“…However, traditional case studies face challenges such as large data volumes, complex information, and difficulties in efficient retrieval and analysis. …”
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