IKEChecker: grammar-guided stateful fuzzer for IKE protocol implementions by ZHENG Yonghui, ZHAO Dongliang, GU Chunxiang, ZHANG Xieli

“…Utilizing the aforementioned methods, an IKE protocol stateful fuzz testing tool named IKEChecker was implemented, supporting testing of both IKEv1 and IKEv2 protocols. …”
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Edge Computing for Real-Time Climate Data Analysis in Smart Farming by Shnain Ammar Hameed, Abed Z., Annapoorna Errabelli

“…Such outcomes allowed the scheduling of effective irrigation and the decision making on crop management, which demonstrated the potential of edge computing to replace conventional farming with more efficient, data based methods.This implementation is to emphasize the edge computing led transformative opportunities for sustainable and productive agriculture by enabling faster and more actionable decision making.…”
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A dynamic early warning model based on LSTM-AM for property-based elderly care resource shortages in urban-rural integrated counties in China by Qingheng Sun

“…Results show that, taking Xuchang City, Henan Province as an example, by integrating multi-source time-series data such as county-level population aging rates, property-based elderly care service coverage rates, community facility maintenance data, and resident demand feedback, the model’s prediction error (MAE ≤ 0. 12, RMSE ≤ 0. 18) was reduced by 35% compared to traditional methods, and the warning accuracy (F1-score = 0. 89) was significantly superior to traditional models. …”
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Differential protection of distribution network based on 5G and particle swarm algorithm by HAO Hanbing, WANG Tongwen, ZHU Sijie, HOU Zhengquan, HUANG Yuhui

“…Differential protection has excellent selectivity and quick motion, which is suitable for distribution network protection scenarios of multi-source networks. Aiming at the problem of 5G differential protection communication delay and excessive delay jitter, a differential protection method of distribution network based on 5G and particle swarm algorithm is proposed. …”
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Rolling Prediction of Emergency Supplies Based on Postdisaster Multisource Time-Varying Information by Wei Li, Ming Zhang, Boquan Li, Songrui Li, Zhifeng Qiu

“…First, the proposed method uses historical cases, real-time disasters, and time-sharing simulation data as the source data. …”
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Health management information system (HMIS) data verification: A case study in four districts in Rwanda. by Alphonse Nshimyiryo, Catherine M Kirk, Sara M Sauer, Emmanuel Ntawuyirusha, Andrew Muhire, Felix Sayinzoga, Bethany Hedt-Gauthier

“…We aimed to review the quality of Rwandan HMIS data for maternal and newborn health (MNH) based on consistency of HMIS reports with facility source documents.<h4>Methods</h4>We conducted a cross-sectional study in 76 health facilities (HFs) in four Rwandan districts. …”
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Optimizing Virtual Power Plants with Parallel Simulated Annealing on High-Performance Computing by Ali Abbasi, Filipe Alves, Rui A. Ribeiro, João L. Sobral, Ricardo Rodrigues

“…This work focuses on optimizing the scheduling of virtual power plants (VPPs)—as implemented in the Portuguese national project New Generation Storage (NGS)—to maximize social welfare and enhance energy trading efficiency within modern energy grids. …”
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Optimization of distribution networks using quantum annealing for loss reduction and voltage improvement in electrical vehicle parking management by Naser Rashnu, Babak Mozafari, Reza Sharifi

“…The proposed approach formulates the EV parking scheduling task as a Quadratic Unconstrained Binary Optimization (QUBO) problem, suitable for quantum processing. …”
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Deep neural network application in real-time economic dispatch and frequency control of microgrids by Liu Jun

“…The aforementioned results indicate that the proposed method exhibits good control performance and application effectiveness, providing a reference for real-time power generation scheduling and control in microgrids.…”
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Sizing Algorithm for a Photovoltaic System along an Urban Railway Network towards Net Zero Emission by Prabath J. Binduhewa

“…Electric trains can be considered a zero-emission transportation method. However, a rail transportation system operates with net-zero emissions when electricity is generated from zero-emission-based sources. …”
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Approximating actual flows in physical infrastructure networks: the case of the Yangtze River Delta high-speed railway network by Zhang Weiyang, Derudder Ben

“…This study presents a method to improve our estimation of urban interaction in and through infrastructure networks by focusing on the example of passenger railways, which is arguably a key potential data source in research on urban networks in metropolitan regions. …”
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Optimal operation for hybrid AC and DC systems under typhoon disaster considering branch switching and frequency security by Changfeng Liao, Li He, Zhuangxi Tan, Bin Xie, Yong Li, Chaoyang Chen, Yijia Cao

“…To address this issue, this paper proposes an optimal operation method for hybrid AC/DC systems with voltage source converters (VSCs) during extreme events. …”
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EVALUATION OF CONSTRUCTION MATERIALS ON PROJECT SITES IN FEDERAL CAPITAL TERRITORY, F.C.T, ABUJA by Micheal, F., Mahmoud, A., Ishaya, K.S, Kpalo, S.Y

“…Questionnaires from field survey, interview and site observation were the source of data collected. Descriptive statistics including frequency and mean index score method was used for the study. …”
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SORA: Energy-Efficient Resource Allocation in Open Radio Access Network With Online Learning by Aerman Tuerxun, Akihiro Nakao

“…The proposed algorithm achieves sub-linear regret, ensuring convergence toward an optimal policy over time while maintaining robust adaptability. We validate our method using open-source platforms&#x2014;OpenAirInterface and FlexRIC&#x2014;demonstrating its practical effectiveness. …”
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Reserch on Low-Carbon Optimal Operation of Offshore Oil and Gas Micro Integrated Energy System by Qian LI, Haitao HUANG, Xiaobin YAN, Changjiang LIAO, Xin PENG, Anan ZHANG

“…Considering the uncertainty of source and load, a stochastic fuzzy economic optimal scheduling model is constructed to realize the coordinated optimization of the system. …”
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A Low-Carbon Interactive Management Strategy for Community Integrated Energy System Based on Real-Time Carbon Intensity Assessment by GAO Bo, LI Fei, SHI Lun, TAO Peng, SHI Zhengang, ZHANG Chao, PENG Jie, ZHAO Yiyi

“…With increasing energy consumption on the demand side, residential energy use has become a significant source of carbon emissions, which presents a substantial opportunity for emission reduction. …”
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Multi-risk-scenarios flexibility evaluation model of regional power grid considering economic efficiency of dispatching measures by ZHOU Qihang, GUAN Lin, XIAN Weihong, XUAN Peizheng, CHENG Lanfen, LI Zixi

“…Under the target of the flexibility measurement, the mathematical models and computational method considering multiple risk scenarios are proposed, and the operation mode adjustment and the open-loop points scheduling are taken into account as the control measures. …”
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Distributed Robust Low-Carbon Economic Dispatch of Power Systems Considering Extreme Scenarios by HU Heng, QIN Jianru, LI Haibo, LIU Jiefeng

“…Particularly， tail risks triggered by extreme weather and the dynamic mismatches between stochastic RE fluctuations and conventional unit regulation rates invalidate conventional deterministic scheduling models reliant on typical scenarios. [Methods] To address this， this paper first constructs RE generation scenarios using Latin hypercube sampling （LHS） and modified k-means clustering， verifying their reserve feasibility， while transforming reserve-infeasible scenarios into extreme scenario sets. …”
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Care Utilization and Measures of the Subjective by Alexander Drost, Nadia Azib, Ali Azarpey, Philippe Dentino, Diego Tijerina, David Ring, Amin Razi

“…And 2) Are there any factors specifically associated with scheduling a return visit? Methods One hundred thirty-five patients seeking musculoskeletal specialty care completed measures of subjective patient factors including unhelpful thoughts and feelings of distress regarding symptoms, personal health agency, social health, and trust and experience with the clinician. …”
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Comparing the performance of screening surveys versus predictive models in identifying patients in need of health-related social need services in the emergency department. by Olena Mazurenko, Adam T Hirsh, Christopher A Harle, Joanna Shen, Cassidy McNamee, Joshua R Vest

“…The performance of ML predictive models using data from electronic health records (EHRs) and other sources has not been compared to other methods of identifying patients needing HRSN services.…”
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