Route Optimization of Hazardous Material Railway Transportation Based on Conditional Value-at-Risk Considering Risk Equity by Liping Liu, Shilei Sun, Shuxia Li

“…Rail transportation of hazardous material (Hazmat) involves low-probability, and high-consequence risks, requiring strategies that mitigate extreme accident impacts while ensuring fair risk distribution. …”
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AI-Driven predicting and optimizing lignocellulosic sisal fiber-reinforced lightweight foamed concrete: A machine learning and metaheuristic approach for sustainable construction by Mohamed Sahraoui, Aissa Laouissi, Yacine Karmi, Abderazek Hammoudi, Mostefa Hani, Yazid Chetbani, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Djamel Ghernaout

“…A Deep Neural Network (DNN) was developed, optimized using the Grey Wolf Optimizer (GWO) and the Slime Mould Algorithm (SMA), to predict and optimize material properties. …”
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Optimization of Remote Backup Protection Coordination Logic Based on Dynamic Identification of Faulty Components in Transmission Grids by LIN Xiangning, JI Jihao, DING Yifan, LI Zhengtian, WENG Hanli

“…Additionally， the low-inertia and low-voltage ride-through （LVRT） control of renewable energy sources exacerbates the changes in the characteristics of positive- and negative-sequence networks， making it difficult to identify faulty components and often resulting in protection mismatch or excessive delay. …”
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An analysis of spatial changes in the manufacturing industry in china’s three major urban clusters from 2015 to 2019 using POI data by Chenxi Jin, Chenjing Fan, Yiwen Gong, Xinran Huang, Shiqi Li, Runhan Liu, Chunwei Guo, Yuxin Liu

“…The main conclusions were as follows. (1) Between 2015 and 2019, manufacturing activities in the three major urban clusters were highly concentrated in provincial capitals, municipalities under direct control of the central government, and their neighboring districts and counties with favorable economic conditions; incremental growth was concentrated in the core cities. (2) The survival rate of enterprises in the Beijing-Tianjin-Hebei urban cluster was relatively high, whereas that in the Pearl River Delta urban cluster was low. …”
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A retina-inspired pathway to real-time motion prediction inside image sensors for extreme-edge intelligence by Subhradip Chakraborty, Shay Snyder, Md Abdullah-Al Kaiser, Maryam Parsa, Gregory Schwartz, Akhilesh R Jaiswal

“…Our hardware-algorithm framework, implemented using GlobalFoundries’ 22 nm FDSOI technology, integrates key retinal MP compute blocks, including a biphasic filter, spike adder, non-linear circuit, and a 2D array for multi-directional MP. …”
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Application of satellite images and object-oriented processing in land use/land cover map extraction to model ecosystem services (case study: Lorestan province) by Zahra Asadolahi, Mostafa Keshtkar, Zia Badehian

“…Conclusion: There are different approaches to ecosystem services mapping, one of which is extracting ecosystem services information directly from land use/cover maps. Such an approach is appropriate for large-scale areas that are restricted in terms of available data and expert knowledge, and the service is directly related to land use.…”
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Detection of mixed infection from bacterial whole genome sequence data allows assessment of its role in Clostridium difficile transmission. by David W Eyre, Madeleine L Cule, David Griffiths, Derrick W Crook, Tim E A Peto, A Sarah Walker, Daniel J Wilson

“…We investigated the problem by developing a computationally efficient method for detecting mixed infection without the need for resource-intensive independent sequencing of multiple bacterial colonies. Given the relatively low density of single nucleotide polymorphisms within bacterial sequence data, direct reconstruction of mixed infection haplotypes from current short-read sequence data is not consistently possible. …”
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Detection of alpha-rod protein repeats using a neural network and application to huntingtin. by Gareth A Palidwor, Sergey Shcherbinin, Matthew R Huska, Tamas Rasko, Ulrich Stelzl, Anup Arumughan, Raphaele Foulle, Pablo Porras, Luis Sanchez-Pulido, Erich E Wanker, Miguel A Andrade-Navarro

“…An implementation of the repeat detection algorithm is available as a Web server with a simple graphical output: http://www.ogic.ca/projects/ard. …”
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Innovative Business Models Towards Sustainable Energy Development: Assessing Benefits, Risks, and Optimal Approaches of Blockchain Exploitation in the Energy Transition by Aikaterini Papapostolou, Ioanna Andreoulaki, Filippos Anagnostopoulos, Sokratis Divolis, Harris Niavis, Sokratis Vavilis, Vangelis Marinakis

“…Strategies to address risks relevant to blockchain exploitation include ensuring policy alignment, emphasising economic feasibility, facilitating social inclusion, prioritising security and interoperability, consulting with legal experts, and using consensus algorithms with low energy consumption. The findings offer clear guidance for energy service providers, policymakers, and technology developers, assisting in the design, deployment, and risk mitigation of blockchain-enabled business models to accelerate sustainable energy development.…”
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Stochastic Variance Reduced Primal–Dual Hybrid Gradient Methods for Saddle-Point Problems by Weixin An, Yuanyuan Liu, Fanhua Shang, Hongying Liu

“…Recently, many stochastic Alternating Direction Methods of Multipliers (ADMMs) have been proposed to solve large-scale machine learning problems. …”
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Embedded circuit analysis and design method for reconfigurable metasurface element by Bincai Wu, Xingqi Xuan, Yuqi Chen, Jun Wen, Qijun Hu, Shilie Zheng, Ian Pratt, Xiaonan Hui, Xianmin Zhang

“…The authors propose a general design model based on low‐power embedded circuitry for a multi‐function metasurface element and give the corresponding numerical analysis. …”
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Single-Shot Wavefront Sensing in Focal Plane Imaging Using Transformer Networks by Hangning Kou, Jingliang Gu, Jiang You, Min Wan, Zixun Ye, Zhengjiao Xiang, Xian Yue

“…Traditional wavefront reconstruction methods, including the Gerchberg–Saxton (GS) algorithm and phase diversity (PD) techniques, are often limited by issues such as low inversion accuracy, slow convergence, and the presence of multiple possible solutions. …”
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The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction by Yu Fu, Zhihao Fan, Xiangzhi Li, Pengyu Wang, Xiaoyue Sun, Yu Ren, Wengeng Cao

“…By integrating these methods with the random forest (RF) algorithm, three models—random-RF, buffer zone-RF, and EIV-RF—were developed and evaluated. …”
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Real-Time Batch Detection System for Defects in Highly Curved Spiral Cylindrical Coils by Qinghang Zhuo, Linghua Kong, Jishi Zheng, Zhigang Ding, Wenguang Li, Dingrong Yi, Guofu Lian

“…Tungsten coil is one of the important components of the magnetron, and its surface quality and geometry directly affect the service life of the magnetron. …”
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Machine Learning-Assisted Sustainable Mix Design of Waste Glass Powder Concrete with Strength–Cost–CO₂ Emissions Trade-Offs by Yuzhuo Zhang, Jiale Peng, Zi Wang, Meng Xi, Jinlong Liu, Lei Xu

“…The Pareto-optimal solutions provide actionable guidelines for engineers to align GPC design with circular economy principles and low-carbon policies. This work advances sustainable construction practices by bridging AI-driven innovation with building materials, directly supporting global goals for waste valorization and carbon neutrality.…”
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Research on fault localization method of valve area in converter station based on metric learning and knowledge reasoning by WEI Yun, LI Xianwei, ZHANG Yanlong, CAO Hui, XU Dan, QIU Junhong

“…Its operating status directly affects the reliability of the DC transmission system. …”
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Experimental Study on Long Short-term Memory Networks for Identifying P-wave Primary Phase by Tianzhe WANG, Wanji ZHANG, Shanbo QI, Guoming JIANG

“…Compared with the traditional convolutional neural network, automatic identification algorithm, Pick-Net, and EQtransformer network, the recognition accuracy of our new convolutional recurrent neural network is relatively higher; therefore, the seismic waveform data can be directly used as a time series for training. …”
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Assessing power-to-heat technologies for industrial electrification: A multi-criteria decision analysis approach by Arman Ashabi, Mohamed Mostafa, Andriy Hryshchenko, Ken Bruton, Dominic T.J. O’sullivan

“…By synthesizing the results and defining different scenarios, this detailed analysis provides decision-makers, industry stakeholders, and researchers with useful insights into the many alternatives for direct electrification of heat supply. Finally, the MCDA in this study is designed for current and future scenarios, allowing new technologies to be analyzed and ranked with the proposed algorithm.…”
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Electronic Shooting Simulator Family "STrIzh": Implementation Levels and Free Software Structure by S. F. Egorov

“…The simulator software algorithm should fully support all implementation levels with different configurations and include a multimedia shooting training system. …”
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DA-YOLOv7: A Deep Learning-Driven High-Performance Underwater Sonar Image Target Recognition Model by Zhe Chen, Guohao Xie, Xiaofang Deng, Jie Peng, Hongbing Qiu

“…Affected by the complex underwater environment and the limitations of low-resolution sonar image data and small sample sizes, traditional image recognition algorithms have difficulties achieving accurate sonar image recognition. …”
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