Exploring Design Approaches for 3D Printed Antennas by Saul S. Carvalho, Joao R. V. Reis, Artur Mateus, Rafael F. S. Caldeirinha

“…Various printing techniques are employed to fabricate antennas with complex geometries and optimized performance. Rigorous measurements validate simulation results, addressing challenges related to printing resolution and material selection. …”
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Space-air-ground integrated networks:review and prospect by Xuemin(Sherman) SHEN, Nan CHENG, Haibo ZHOU, Feng LYU, Wei QUAN, Weisen SHI, Huaqing WU, Conghao ZHOU

“…With the advance of the information technologies,the scale of the information services gradually expands,from ground services,to aerial,maritime,and spatial services,with the soaring requirements on multi-dimensional comprehensive information resources.The space-air-ground integrated networks (SAGINs) are envisioned to provide seamless network services to spatial,aerial,maritime,and ground users,satisfying the future network requirements on all-time,all-domain,and all-space communications and interconnected networking.Firstly,we reviewed the current research development of SAGINs,discussing the research trends on the low-earth orbiting (LEO) satellite constellation and space-ground network integration.Then,the reinforcement learning (RL) framework was proposed in SAGINs to address the problems of complex architecture,high dynamics,and resource constraints in SAGINs,which facilitated efficient and fast network design,analysis,optimization,and management.As a case study,the method of applying deep RL (DRL) was showed for the intelligent access network selection in SAGINs.To improve the RL training efficiency,a comprehensive SAGINs simulation platform was established,through which the agent-environments interaction was accelerated and training samples could be obtained more cost-effectively.Finally,some open research directions were presented.…”
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Space-air-ground integrated networks:review and prospect by Xuemin(Sherman) SHEN, Nan CHENG, Haibo ZHOU, Feng LYU, Wei QUAN, Weisen SHI, Huaqing WU, Conghao ZHOU

“…With the advance of the information technologies,the scale of the information services gradually expands,from ground services,to aerial,maritime,and spatial services,with the soaring requirements on multi-dimensional comprehensive information resources.The space-air-ground integrated networks (SAGINs) are envisioned to provide seamless network services to spatial,aerial,maritime,and ground users,satisfying the future network requirements on all-time,all-domain,and all-space communications and interconnected networking.Firstly,we reviewed the current research development of SAGINs,discussing the research trends on the low-earth orbiting (LEO) satellite constellation and space-ground network integration.Then,the reinforcement learning (RL) framework was proposed in SAGINs to address the problems of complex architecture,high dynamics,and resource constraints in SAGINs,which facilitated efficient and fast network design,analysis,optimization,and management.As a case study,the method of applying deep RL (DRL) was showed for the intelligent access network selection in SAGINs.To improve the RL training efficiency,a comprehensive SAGINs simulation platform was established,through which the agent-environments interaction was accelerated and training samples could be obtained more cost-effectively.Finally,some open research directions were presented.…”
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Danishefsky’s Diene vs Rawal’s Diene in [4+2] Hetero-Diels-Alder Reactions with Aldehydes by Oleksii I. Shamrai, Evgenij V. Zarudnitskii

“…Experimental results for eight aldehyde substrates have revealed key differences in their efficiency and scalability. The data obtained emphasize the complementary nature of DD and RD in synthetic applications, providing valuable recommendations for optimizing diene selection in complex organic transformations.…”
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Reliability analysis of passive residual heat removal system for large advanced pressurized water reactors by Tianrui Li, Xinkun Xiao, Guoqing Lu, Shikang Chen, Ronghua Chen, Wenxi Tian

“…An artificial neural network is employed as a surrogate model for complex thermal-hydraulic calculations, significantly improving analysis efficiency. …”
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Multi-element synergy in photocatalytic materials integrated mechanism-design-preparation strategies by Qi Zhanfeng, Li Guancheng, Guo Xiuli

“…It is emphasized that the precise regulation of elemental species, ratios and distributions, combined with the synergistic optimization of photocatalytic mechanism and preparation process, is the key path to achieve efficient photocatalytic performance. Finally, it is proposed that future research should focus on the quantitative analysis of the complex interactions between elements and the integrated design of low-cost materials, in order to promote the practical application of photocatalytic technology in the fields of environmental treatment and energy conversion.…”
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Multi-period supply chain optimization with contango and backwardation effects using an improved hybrid genetic algorithm by Mudassar Rauf, Muhammad Imran, Jabir Mumtaz, Saima Javed, Ayesha Saeed

“…The results highlight optimal supplier selection and order allocations for each period, and performance comparisons reveal that the IHGA outperforms traditional algorithms in terms of cost efficiency, computational time, and convergence behavior.…”
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FBG-Based Weak Coherent State and Entanglement-Assisted Multidimensional QKD by Ivan B. Djordjevic

“…Regarding the WCS protocols, random base selection and FGB-MUB-based protocols are introduced. …”
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Transfer Reinforcement Learning-Based Power Control for Anti-Jamming in Underwater Acoustic Communication Networks by Liejun Yang, Yi Chen, Hui Wang

“…Simulation results demonstrated that the proposed method significantly enhanced the anti-jamming performance and communication efficiency of underwater acoustic communication even in complex interference scenarios.…”
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Urban Hierarchy Migration Model and Impact Mechanism of Graduates Admitted to the Guangdong Provincial Civil Service Examination by Wu Jinghao, Liu Ye, Tang Honglin

“…The decision-making and selection process in the selection mechanism for the migration mode of newly recruited graduates in the civil service examination is complex and dynamic, involving the interaction of multiple factors, such as government policy guidance, job characteristics, personal factors, and urban conditions, with objective limitations, personal abilities and resources, and subjective willingness. …”
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A Novel Approach to Multi-Class Crack Classification: ResNet50 Enhanced with Squeeze-and-Excitation Blocks by Mazleenda Mazni, Abdul Rashid Husain, Devi Willieam Anggara, Mohd Ibrahim Shapiai, Riyadh Zulkifli, Munirah Onn

“…Unlike conventional models, which lack feature recalibration capabilities, the embedded SE block adaptively enhances channel-wise feature importance, significantly improving crack detection performance under complex conditions such as lighting variations and background noise. …”
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Research on recognition of diabetic retinopathy hemorrhage lesions based on fine tuning of segment anything model by Sujuan Tang, Qingwen Wu

“…Abstract Diabetic Retinopathy (DR) demands precise hemorrhage detection for early diagnosis, yet manual identification faces challenges due to hemorrhagic lesions’ varied sizes, complex shapes, and color similarities to surrounding tissues, which obscure boundaries and reduce contrast. …”
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Subsurface Cavity Imaging Based on UNET and Cross–Hole Radar Travel–Time Fingerprint Construction by Hui Cheng, Yonghui Zhao, Kunwei Feng

“…This approach offers a high–precision, computationally efficient solution for subsurface void detection, with strong engineering applicability in complex geological environments.…”
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Advancing Pediatric Growth Assessment with Machine Learning: Overcoming Challenges in Early Diagnosis and Monitoring by Mauro Rodriguez-Marin, Luis Gustavo Orozco-Alatorre

“…Logistic regression is a reliable and easily interpretable model for detecting growth abnormalities in children. Unlike complex machine learning models, it offers parsimony in transparency, efficiency, and reproducibility, making it ideal for clinical settings where explainable, data-driven decisions are essential. …”
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Research on Buckwheat Weed Recognition in Multispectral UAV Images Based on MSU-Net by Jinlong Wu, Xin Wu, Ronghui Miao

“…Targeting low detection efficiency in complex agricultural environments and inability of multispectral input in weed recognition of minor grain based on unmanned aerial vehicles (UAVs), a semantic segmentation model for buckwheat weeds based on MSU-Net (multispectral U-shaped network) was proposed to explore the influence of different band optimizations on recognition accuracy. …”
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Design and analysis of a single source seven level common ground SC based multilevel inverter topology with high reliability by Md Tahmid Hussain, Adil Sarwar, Md Reyaz Hussan, Mohd Tariq, Shafiq Ahmad, Farhad Ilahi Bakhsh, Mohammad Zaid, Adamali Shah Noor Mohamed, Baseem Khan

“…Existing multilevel inverter (MLI) topologies often suffer from high voltage stress, increased THD, and complex control requirements. This study aims to design a compact inverter with improved performance metrics, including efficiency, total harmonic distortion (THD), and voltage stress. …”
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A clean self-diverting acid for carbonate reservoir in deep wells at high temperatures and its performance evaluation by Xiangsen Gao, Min Wang, Xian Shi, Bin Li, Jian Mao, Poplygin Vladimir Valerievich

“…The friction reduction efficiency shows a 41.7% enhancement over traditional diverting acids (30% friction reduction rate). …”
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Baculovirus superinfection: a probable restriction factor on the surface display of proteins for library screening. by Xiaodong Xu, Yuanrong Chen, Yu Zhao, Xiaofen Liu, Beitao Dong, Ian M Jones, Hongying Chen

“…However, although baculovirus gene libraries can be efficiently expressed and displayed on the surface of insect cells, target gene selection is inefficient probably due to super-infection which gives rise to cells expressing more than one protein. …”
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Multiradar Collaborative Task Scheduling Algorithm Based on Graph Neural Networks with Model Knowledge Embedding by Haoqing LI, Dian YU, Changchun PAN, Wenxian YU, Dongying LI

“…Modern radar systems face increasingly complex challenges in tasks such as detection, tracking, and identification. …”
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Application of time series database technology in coal mine safety monitoring system by Hongliang ZHANG

“…Traditional relational databases are unable to meet the high concurrency and high stability monitoring requirements of complex underground environments due to issues such as insufficient write throughput, low storage efficiency, and real-time query latency. …”
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