Optimization Model for Safeguarding Vulnerable Components in Integrated Energy Systems Based on Weighted Betweenness by ZHANG Chenwei, WANG Ying, LI Yaping, ZHANG Kaifeng

“…Utilizing the complex network theory to mitigate vulnerabilities mitigation in integrated energy systems is significant for enhancing the resilience of sustained energy supply, especially against deliberate physical attacks and natural disasters. …”
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Modeling and Assessing Vulnerabilities of Aircraft Cyber–Physical Power Systems Based on Complex Network Theory by Chang Liu, Shuo Wang, Zhiyong Fan, Huixin Bai, Tianlei Zang

“…Therefore, it is essential to assess the vulnerability of MEA–EPS for stable operation and optimal system design. …”
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Spectrum optimization of dynamic networks for reduction of vulnerability against adversarial resonance attacks by Alp Sahin, Nicolas Kozachuk, Rick S. Blum, Subhrajit Bhattacharya

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VRU-YOLO: A Small Object Detection Algorithm for Vulnerable Road Users in Complex Scenes by Yunxiang Liu, Yuqing Shi

“…Additionally, a lightweight Optimized Shared Detection Head (OSDH-Head) is introduced, reducing computational complexity while improving detection efficiency. …”
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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
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Navigating Coastal Vulnerability: Introducing the Coastal Fuzzy Vulnerability Index (CFVI) by Zekâi Şen

“…This study optimized the coastal vulnerability assessment method through fuzzy logic, improved the ability to handle nonlinear relationships between parameters, and provided a new tool for complex and dynamic coastal risk management. …”
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Evolution and vulnerability of the trade network structure of China’s petrochemical industry chain: Based on a comparative perspective between China and the US by GUO Jianke, YANG Jiaming, PENG Fei, LUO Hao, ZHAO Liangshi

“…The trade partner structure expanded from an Asia-centered pattern to a global network, with continuous optimization of the industry chain trade network. However, structural vulnerabilities persisted in the basic chemical raw material network. (2) China and the United States shared highly overlapping trade partners in synthetic materials. …”
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Resilience assessment of interprovincial crop virtual water flow network in China by Hongrong Huang, La Zhuo, Yiping Wu, Yilin Liu, Xiangxiang Ji, Pute Wu

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Ecological networks construction and optimization in the Longdong Loess Plateau: The advantages of self-organizing map and complex networks by Xueyu Huang, Lina Xiu, Zhixiang Lu, Jiahui Wang

“…Furthermore, we compared the ENs before and after optimization to identify the benefits of the SOM. Finally, we apply the complex network topology edge-adding strategy to enhance the robustness of network. …”
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Graph-Based Warm Solutions for Optimal Resilience Enhancement of Water Distribution Networks by Mohsen Hajibabaei, Amin Minaei, Mohsen Shahandashti, Robert Sitzenfrei

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A hybrid modeling framework for groundwater contamination risk: Optimized AHP-DRASTIC and BME by Muyuan Lu, Yuan Liu, Guijian Liu, Guanyu Wang, Yongli Li, Peiwei Sun

“…The assessment of groundwater contamination risk is crucial, especially in regions like northern Anhui, where complex geological conditions and limited groundwater sources coexist. …”
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Structure-Enhanced Prompt Learning for Graph-Based Code Vulnerability Detection by Wei Chang, Chunyang Ye, Hui Zhou

“…Recent advances in prompt learning have opened new avenues for enhancing natural language understanding in domain-specific tasks, including code vulnerability detection. Motivated by the limitations of conventional binary classification methods in capturing complex code semantics, we propose a novel framework that integrates a two-stage prompt optimization mechanism with hierarchical representation learning. …”
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Impacts of climate change on a high elevation specialist bird are ameliorated by terrain complexity by Mohammad Reza Ashrafzadeh, Marzieh Moradi, Rasoul Khosravi, Ali Asghar Naghipour, Dan Chamberlain

“…We then projected the optimized model for two future time periods under different climate scenarios. …”
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Application of MASW, Microtremor, and Seismic Refraction Tests for Buildings in Vulnerable Communities by Gonzalo Díaz-García, Marlon Farfán-Córdova

“…This study emphasizes the importance of merging geophysical and dynamic knowledge to optimize structural performance and promote resilience in complex geophysical environments. …”
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TET2 orchestrates YAP signaling to potentiate targetable vulnerability in hepatocellular carcinoma by Jing He, Mingen Lin, Fei Teng, Xue Sun, Ziyin Tian, Jiaxi Li, Yan Ma, Yue Dai, Yi Gao, Hongchen Li, Tongguan Tian, Kai Xu, Xinxing Li, Lei Lv, Yanping Xu

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Research on Safety Vulnerability Assessment of Subway Station Construction Based on Evolutionary Resilience Perspective by Leian Zhang, Junwu Wang, Miaomiao Zhang, Jingyi Guo

“…Therefore, it is of great practical significance to scientifically and systematically evaluate the safety vulnerability of subway station construction. This paper takes the Chengdu subway project as an example, and establishes a metro station construction safety vulnerability evaluation index system based on the driving forces–pressures–state–impacts–responses (DPSIR) theory with 5 first-level indexes and 23 second-level indexes, and adopts the fuzzy hierarchical analysis method (FAHP) to calculate the subjective weights, and the improved Harris Hawks optimization–projection pursuit method (HHO-PPM) to determine the objective weights, combined with game theory to calculate the comprehensive weights of the indicators, and finally uses the improved cloud model of Bayesian feedback to determine the vulnerability level of subway station construction safety. …”
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Identification and Diagnosis of Wind Health-Vulnerable Spaces in High-Rise Residential Areas of Xi’an by Jiewen Chen, Siqing Ma, Yuan Meng, Yu Liu, Juan Ren

“…As urbanization accelerates, high-rise residential areas (HRRAs) have become a dominant urban housing typology. However, their complex building layouts significantly alter local wind environments, potentially impacting residents’ health. …”
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Impact of short-term soil disturbance on cadmium remobilization and associated risk in vulnerable regions by Zhong Zhuang, Hao Qi, Siyu Huang, Qiqi Wang, Yanan Wan, Huafen Li

“…A comprehensive understanding of cadmium (Cd) migration in soils near contaminated hotspots is crucial for optimizing remediation efforts and ensuring crop health. …”
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx. by Yicheng Long

“…Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. …”
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Investigating a Novel Activation-Repolarisation Time Metric to Predict Localised Vulnerability to Reentry Using Computational Modelling. by Yolanda R Hill, Nick Child, Ben Hanson, Mikael Wallman, Ruben Coronel, Gernot Plank, Christopher A Rinaldi, Jaswinder Gill, Nicolas P Smith, Peter Taggart, Martin J Bishop

“…The method is robust against highly complex and intramural scar anatomies and low resolution clinical data acquisition. …”
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