Preparation of Magnetic Molecularly Imprinted Polymers Based on Group Sensing Quenching and Their Adsorption Characteristics on Signaling Molecules by Junqiang SUN, Haiyang YANG, Yao QU, Huarong YU, Fangshu QU, Yuxuan WAN

“…This selectivity is a key advantage of molecularly imprinted polymers, enabling the targeted removal of specific compounds from complex mixtures. …”
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Transforming Healthcare: A Review of Additive Manufacturing Applications in the Healthcare Sector by Alok Bihari Singh

“…This review systematically examines various AM technologies, including stereolithography, selective laser sintering, and fused deposition modeling. …”
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Triangular fuzzy merec (TFMEREC) and its applications in multi criteria decision making by Qaiyyum Hafizi Hasnan, Zahari Rodzi, Nor Hanimah Kamis, Faisal Al-Sharqi, Ashraf Al-Quran, Mamika Ujianita Romdhini

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Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization—Simulated Annealing for Feature Selection and Gray Wolf Optimization-... by Daoqi Han, Honghui Li, Xueliang Fu

“…Therefore, feature selection (FS) is particularly important in IDSs. By selecting the most representative features, it can not only improve the detection accuracy but also significantly reduce the computational complexity and attack detection time. …”
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AMCL: supervised contrastive learning with hard sample mining for multi-functional therapeutic peptide prediction by Jiwei Fang, Henghui Fan, Jintao Zhao, Jianping Zhao, Junfeng Xia

“…However, the identification of peptide functions through wet-lab experiments is both time-consuming and costly, necessitating efficient computational prediction methods. The field faces challenges such as long-tail distribution problems, data sparsity, and complex label co-occurrence patterns due to peptides’ multi-functional nature. …”
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Enhancing Indoor Localization Accuracy in Dense IoT-Integrated 5GNR Networks: Introducing SGNCL for Sensor-Guided NLoS Correction Localization by Afsaneh Saeidanezhad, Wasim Ahmad, Muhammad A. Imran, Olaoluwa R. Popoola

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Empirical analysis of control models for different converter topologies from a statistical perspective by Hole Shreyas Rajendra

“…Converter topologies including SEPIC, ZETA, etc. are controlled via selection of capacitive and inductive components, which assists in improving its conversion efficiency for different type of loads. …”
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Optimized Design of Distributed Generalized Reed-Solomon Coded Generalized Spatial Modulation by C. L. Zhao, F. F. Yang, H. J. Xu

“…When the GRS codes at the source and relay have large information lengths, the OISS algorithm possesses high complexity. Thus, a low-complexity optimized information symbol selection (LC-OISS) algorithm by incomplete search is put forward. …”
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Design Improvement of Permanent Magnet Motor Using Single- and Multi-Objective Approaches by Cvetkovski Goga, Petkovska Lidija

“…Engineers and academics have been actively involved in optimising these systems to achieve better performance, efficiency, and cost-effectiveness. Optimising electrical machines, including permanent magnet motors, is a complex task. …”
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Performance analysis of high-rate generalized space code index modulation system by BIAN Lina, ZHANG Qianyu, WU Jiayan

“…The traditional modulation symbols were replaced with the additional phase by the HR-GS-CIM system, and the genetic algorithm (GA) was used to optimize the design of the additional phase, which could acquire high energy efficiency advantage and performance advantage. At the same time, the methods of generalized and spatial indexing were introduced to jointly map select the additional phase, spreading code, and antenna lead, and a low-complexity joint mapping selection algorithm was adopted to greatly improve the system’s spectral efficiency. …”
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Advances in CO-SCR Catalysts and Reaction Mechanisms by Dong HAN, Hao LI, Xiaole WENG, Guobo LI, Honggen PENG

“…Driven by increasingly stringent nitrogen oxides (NOx) control requirements, and the limitations of NH3-selective catalytic reduction (NH3-SCR) technology, CO-selective catalytic reduction (CO-SCR) technology is attracting considerable attention. …”
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Otsu thresholding method based on projection of cross section for image segmentation by Chao-dong FAN, Hong-lin OUYANG, Le-yi XIAO

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Otsu thresholding method based on projection of cross section for image segmentation by Chao-dong FAN, Hong-lin OUYANG, Le-yi XIAO

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Harmonics Elimination of Reduced Switch Multilevel Inverter Using Henry Gas Solubility Optimization Algorithm by Murni Nabila Mohd Zawawi, Zainuddin Mat Isa, Baharuddin Ismail, Mohd Hafiz Arshad, Ernie Che Mid, Md Hairul Nizam Talib, Muhammad Fitra Zambak

“…The findings highlight the potential of HGSO in solving complex optimization challenges within power electronics, offering a novel pathway for advancing modulation strategies in CHB MLIs and contributing to the development of more efficient, reliable, and compact power conversion systems.…”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…Additionally, the simulation results show that the slime mold agent model can rapidly generate foraging networks in complex environments due to its efficient organization and structural resilience, as well as optimize path selection according to behavioral objectives.ConclusionABM analysis, supported by advanced algorithms, considers the basic spatial information of the site and simulates individual behavior patterns using distributed computation rules, thereby providing a new paradigm for landscape design thinking. …”
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Multivalent ionizable lipid-polypeptides for tumor-confined mRNA transfection by Xiaofei Zhao, Yueyue Zhang, Xin Wang, Ziming Fu, Zhiyuan Zhong, Chao Deng

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A hybrid constrained multi-objective algorithm for dynamic economic emission dispatch by Shuqu Qian, Huihui He, Huihong Wu, Philippe Fournier-Viger, Hui Li, Shoude Huang

“…Dynamic Economic Emission Dispatch (DEED) problems present a critical multi-objective optimization challenge in power systems, requiring simultaneous minimization of conflicting objectives of costs and emissions while addressing complex operational constraints. This problem becomes particularly intricate when considering the Valve-Point Effect Cost (VPEC) in generation units, which exhibits non-smooth, non-convex characteristics that significantly complicate solution landscapes. …”
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Hierarchical proxy consensus optimization for IoV based on blockchain and trust value by Baoqin ZHAI, Jian WANG, Lei HAN, Jiqiang LIU, Jiahao HE, Tianhao LIU

“…With the rapid development of Internet of vehicles, 5G and artificial intelligence technologies, intelligent transportation has become the development trend of transportation technology.As a vehicle-vehicle and vehicle-road information interaction platform, the Internet of vehicles is the basic support platform for intelligent traffic information sharing and processing.At the same time, the security of Internet of vehicles has attracted much attention, especially data security which may cause user privacy leakage.The blockchain technology has become a solution, but it still faces new challenges in efficiency, security and other aspects.With the increase of vehicle nodes and information, how to efficiently achieve information consensus in high-speed vehicle moving environment has become a key problem.Then a bottom-up RSU (road side unit) chain consensus protocol was proposed based on blockchain and trust value.Several typical consensus structures were compared, and bottom-up two-layer consensus structure was adopted according to the actual scenarios of the Internet of vehicles.Moreover, a group leader node election algorithm was proposed which is based on node participation, work completion and message value.The system security was ensured by assigning trust value to each vehicle.Following the consensus structure and algorithm work mentioned above, the specific process of the protocol was comprehensively described, which was divided into six steps: region division, group leader node selection, local consensus, leader primary node selection, global consensus, and intra-domain broadcast.Then the experiments were analyzed from four aspects: security, communication complexity, consensus algorithm delay and fault tolerance rate.Experiments showed that, compared with other schemes, the proposed protocol can effectively reduce communication complexity and shorten consensus delay under the condition of resisting conspiracy attack, witch attack and other attacks.On the premise of security, the protocol improves fault tolerance rate and enables more nodes to participate in information sharing to satisfy the requirements of Internet of vehicles scenarios.…”
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Integrating SMED and Industry 4.0 to optimize processes with plithogenic n-SuperHyperGraphs by Julio Cesar Méndez Bravo, Claudia Jeaneth Bolanos Piedrahita, Manuel Alberto Méndez Bravo, Luis Manuel Pilacuan-Bonete

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Effect of coarsely quantization on next generation systems with low-density parity check codes by Ehsan Mostafapour, Changiz Ghobadi, Javad Nourinia

“…LDPC (Low-Density Parity-Check) coding has emerged as a key solution in 5 G networks, owing to its low complexity and robust error-correction capabilities. …”
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