Urban Microcirculation Traffic Network Planning Method Based on Fast Search Random Tree Algorithm by Ning YU

“…The interpolation collision detection method is used to determine the shortest path while considering constraint conditions. …”
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Comprehensive evaluation of the response relationship between meteorological drought and hydrological drought in the Yalong River Basin, China by Yunliang Wen, Ling Kang, Liwei Zhou, Wufeng Liao, Xuye Guo

“…The results showed that: (1) The smaller the scale of SPEI and SRI, the more sensitive the identification of drought and the faster the detection of drought trend changes. (2) Combined with small-scale drought index analyses, the trend and severity of meteorological and hydrological droughts propagating from the upper and middle reaches to the lower reaches is increasing from year to year. (3) The Gumbel-Hougaard Copula function reveals the relationship between meteorological and hydrological drought, with the longest joint return period of 13–15 months. (4) In cloud model risk evaluation, the degree, uncertainty and stochasticity of drought risk in the basin are increasing, and the risk degree of interannual meteorological and seasonal hydrological droughts in the basin was high. …”
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An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…By leveraging the tool invocation and reasoning capabilities of LLM in conjunction with a coal mine safety knowledge base, the system achieves logical inference, anomalous data detection, and potential safety risk prediction. Furthermore, its memory functionality ensures the learning and utilization of historical experiences, providing a solid foundation for continuous assessment processes. …”
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The Impact of Differences in Renovation Models of Abandoned Boiler Rooms on Community Vitality—A Case Study of Shenyang, China by Lei Chen, Yahang Cheng, Zixi Zhou, Yibo Wen

“…Unlike prior studies that rely on single data sources or unidimensional metrics, our multi-source approach enhances spatiotemporal resolution, improves the accuracy of subjective perceptions, and enables cross-validation between objective behavioral trajectories and residents’ self-reports, thereby significantly strengthening the comprehensiveness and reliability of community vitality measurement. …”
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SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

“…The system demonstrated exceptional detection strength for functional and performance, and security bugs, where the detection rates reached 94% and 90% and 92%, respectively. …”
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COMIX: Generalized Conflict Management in O-RAN xApps—Architecture, Workflow, and a Power Control Case by Anastasios E. Giannopoulos, Sotirios T. Spantideas, George Levis, Alexandros S. Kalafatelis, Panagiotis Trakadas

“…Central to its architecture are xApps hosted on the Near-Real-Time RAN Intelligent Controller (Near-RT RIC), which optimize network functions in real time. However, the concurrent operation of multiple xApps with conflicting objectives can lead to suboptimal performance. …”
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Assessment of the Integrated Communicable Disease Surveillance and Response System in Thamar Governorate, Yemen by Basem F. Abdel-Aziz, Saddam A.H. Al-Nahari, Ali A. Al-Waleedi, Shymaa M. Elshoura

“…The questionnaire included two sections: assessment of core activities of the IDSR system (structure, case confirmation, data reporting, data analysis, outbreak investigation, epidemic preparedness, epidemic responses, feedback) and assessment of support functions of the IDSR system (supervision, training, coordination, logistics and resources). …”

Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

“…First, a global matching and candidate loop selection strategy is incorporated into the front-end loop detection module, leveraging both LiDAR point clouds and visual features to achieve cross-robot loop detection, effectively mitigating computational redundancy and reducing false matches in collaborative multi-robot systems. …”
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Multi-model deep learning approach for the classification of kidney diseases using medical images by Waleed Obaid, Abir Hussain, Tamer Rabie, Dhafar Hamed Abd, Wathiq Mansoor

“…This research paper leveraged a deep learning approach to address the worldwide shortage of urologists by facilitating the detection of kidney diseases. A novel deep learning technique is proposed using Darknet53 for the classification of kidney diseases using a large dataset gathered from five resources. …”
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Discriminant canonical analysis as a tool to determine traces of endangered native hen breed introgression through egg hatchability phenomics by Antonio González Ariza, Francisco Javier Navas González, Ander Arando Arbulu, José Manuel León Jurado, Juan Vicente Delgado Bermejo, María Esperanza Camacho Vallejo

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A POSSIBLE RELATIONSHIP BETWEEN THE SETS OF QUASI-LINEAR LOCAL TRENDS STATISTICALLY DETECTED IN THE VARIATIONS OF THE MAGNETIC FIELD PARAMETERS BEFORE EARTHQUAKES IN SEISMICLY ACTI... by A. E. Volvach, L. P. Kogan, K. H. Kanonidi, L. I. Nadezhka, I. T. Bubukin, O. V. Boborikina, V. B. Shtenberg, L. N. Volvach, D. T. Biazitov

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SOE: A Multi-Objective Traffic Scheduling Engine for DDoS Mitigation with Isolation-Aware Optimization by Mingwei Zhou, Xian Mu, Yanyan Liang

“…Distributed Denial-of-Service (DDoS) attacks generate deceptive, high-volume traffic that bypasses conventional detection mechanisms. When interception fails, effectively allocating mixed benign and malicious traffic under resource constraints becomes a critical challenge. …”
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Mechanisms of Zooplankton Community Assembly and Their Associations with Environmental Drivers in Arid-Region Reservoirs of Northwest China by Xuelian Qiu, Fangze Zi, Long Yun, Qiang Huo, Liting Yang, Yong Song, Shengao Chen

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Urban Traffic State Sensing and Analysis Based on ETC Data: A Survey by Yizhe Wang, Ruifa Luo, Xiaoguang Yang

“…The construction of multi-source data fusion frameworks enables effective complementarity between ETC data, floating car data, and video detection data, significantly improving traffic state estimation accuracy. …”
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Rprot-Vec: a deep learning approach for fast protein structure similarity calculation by Yichuan Zhang, Wen Zhang

“…It can be applied in protein homology detection, structure-function inference, drug repurposing, and other downstream biological tasks. …”
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Integrated Waveform Design of Radar and Communication Based on Chirp-rate Hopping Modulation by G. Q. Zhang, X. Rao, J. L. Fu, W. W. Hu, J. F. Hu

“…The increasing demand for spectrum resources and the need for reducing the burden of modern electronic combat platforms have prompted the development of integrated radar and communication systems. …”
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Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework by Honghua Wang, Shan Wang, Fei Zhou, Yi Lei, Bin Zhang

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Evaluation of response to a cholera outbreak in January 2024 using the 7–1–7 timeliness metrics: a case study of Elegu Point of Entry, Uganda by Innocent Ssemanda, Brian Kibwika, Ritah Namusoosa, Benon Kwesiga, Lilian Bulage, Richard Migisha, Alex Riolexus Ario

“…Achieving the 7–1–7 targets highlighted the country’s-built capacity to detect, notify, and respond to such events. Continued investment in local-level disease detection, communication, and national-level resource mobilization will be crucial to sustaining future effective cross-border outbreak prevention and control strategies.…”
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Simulating Self-lensing and Eclipsing Signals due to Detached Compact Objects in the TESS Light Curves by Sedighe Sajadian, Niayesh Afshordi

“…The shape of a self-lensing signal is a degenerate function of stellar radius and the compact object’s mass because the self-lensing peak strongly depends on the projected source radius normalized to the Einstein radius. …”
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Deformable Feature Fusion and Accurate Anchors Prediction for Lightweight SAR Ship Detector Based on Dynamic Hierarchical Model Pruning by Yue Guo, Shiqi Chen, Ronghui Zhan, Wei Wang, Jun Zhang

“…Moreover, the large number of parameters in CNNs restricts their deployment on platforms with limited resources. To address these challenges, this article proposes a novel SAR ship detection network called DFES-Net, which incorporates deformable feature fusion and accurate anchor prediction to enhance detection performance. …”
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