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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Methodological Approaches to Creation and Organization of Functioning of a Federal Risk Management System by V. G. Starovoitov, S. N. Silvestrov, A. I. Selivanov, D. V. Troshin

“…The authors identify the main characteristics of a national risk management system which features a higher level of complexity as compared to a corporation, a variety of terms and factors of existence and development, and a wider range of challenges, threats and risks as well as objectives and thus a wider range of operational values, criteria and sustainable development and efficiency indicators. …”
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Leveraging stacking machine learning models and optimization for improved cyberattack detection by Neha Pramanick, Jimson Mathew, Shitharth Selvarajan, Mayank Agarwal

“…By subjecting the system to a comparative analysis with recent state-of-the-art works, this paper has shown that the proposed methodology yields better improvement in feature selection precision classification accuracy, handling of minority class instance, less demanding storage and computational efficiency.…”
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A Particle Swarm Optimization-Based Ensemble Broad Learning System for Intelligent Fault Diagnosis in Safety-Critical Energy Systems with High-Dimensional Small Samples by Jiasheng Yan, Yang Sui, Tao Dai

“…Finally, the model is validated through simulated data from a complex nuclear power plant (NPP). Numerical experiments reveal that the proposed method significantly improved the diagnostic efficiency while maintaining high accuracy. …”
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Enhancing Thermal-Hydraulic Modelling in Dual Fluid Reactor Demonstrator: The Impact of Variable Turbulent Prandtl Number by Hisham Elgendy, Sławomir Kubacki, Konrad Czerski

“…The results provide a framework for improving reactor design and operational strategies, ensuring enhanced safety and efficiency in next-generation nuclear systems. Future work will apply this modelling approach to more complex geometries and flow scenarios to optimise thermal-hydraulic performance.…”
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Passenger Flow Simulation Model for Urban Rail Transit Stations Based on Multipotential Fields in Three-Dimensional Space by Lianbo Deng, Jingshuang Li, Jingen Fu, Jiayi Liu, Xiao Yi

“…The spatial and temporal rules governing passenger flow in urban rail transit (URT) stations are complex, and simulation modeling and analysis of passenger flow distribution in stations are very important in regard to scientifically organizing and controlling passenger flow and improving passenger travel efficiency. …”
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Hybrid boosted attention-based LightGBM framework for enhanced credit risk assessment in digital finance by Chengwei Ying, Anlu Shi, Xiongyi Li

“…The HBA-LGBM model introduces four key innovations: (1) a multi-stage feature selection mechanism that dynamically filters key borrower attributes; (2) an attention-based feature enhancement layer, which prioritizes critical financial risk factors dynamically based on contextual importance; (3) a hybrid boosting strategy, integrating LightGBM with an adaptive neural network, enabling the model to capture complex borrower behavior and non-linear credit risk patterns; and (4) an advanced imbalanced learning strategy, combining synthetic data augmentation and cost-sensitive learning to mitigate class imbalance and enhance minority class predictions. …”
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Types of activity of a judge at the preparatory stage to court hearings by O. M. Tsilmak

“…These types are the basis of ensuring the effectiveness and efficiency of the trial process (criminal proceedings). …”
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Using Machine Learning and Analytical Modeling to Predict Poly-Crystalline PV Performance in Jordan by Sinan S. Faouri, Salah Abdallah, Dana Helmi Salameh

“…Among these, linear regression outperformed the others due to its accuracy, interpretability, and computational efficiency, making it an effective baseline model. LASSO and ElasticNet were also explored for their regularization benefits in managing feature relevance and correlation. …”
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Advanced fabrication and characterization of thin-film composite polyamide membranes for superior performance in reverse osmosis desalination by Ayman Eltahan, Nesreen Ismail, Marwa Khalil, Shaker Ebrahim, Moataz Soliman, Ehssan Nassef, Ashraf Morsy

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Iridium porphyrin-catalysed asymmetric carbene insertion into primary N-adjacent C–H bonds with TON over 1000000 by Zong-Rui Li, Kun Zhan, Yi-Jie Wang, Liang-Liang Wu, Guo-Lin Lu, Hao-Yang Wang, Xiao-Long Wan, Zhen-Jiang Xu, Kam-Hung Low, Chi-Ming Che

“…Abstract Selective functionalization of ubiquitous C-H bonds in organic molecules provides a straightforward and efficient approach to construct complex molecules with fewer synthetic steps and high atom economy, thus promoting more sustainable and economical chemical synthesis. …”
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Understanding the creep behaviors and mechanisms of Mg-Gd-Zn alloys via machine learning by Shuxia Ouyang, Xiaobing Hu, Qingfeng Wu, Jeong Ah Lee, Jae Heung Lee, Chenjin Zhang, Chunhui Wang, Hyoung Seop Kim, Guangyu Yang, Wanqi Jie

“…This study introduces an efficient method to comprehend creep behaviors through machine learning, offering valuable insights for the future design and selection of Mg alloys.…”
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Research Progress on Wet Recovery of Zinc Metal from Blast Furnace Smelting Dust by Lijuan JIA, Shaoxiang YANG, Linjie YANG, Jiayu FENG, Shuo CUI, Fang WANG, Yanzhang LIU, Ping NING

“…However, technical challenges remain, such as the complex chemical speciation of zinc in dust (e.g., iron zincate, zinc silicate) and the need for optimizing system energy efficiency. …”
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From Clusters to Communities: Enhancing Wetland Vegetation Mapping Using Unsupervised and Supervised Synergy by Li Wen, Shawn Ryan, Megan Powell, Joanne E. Ling

“…The PCT-level classification achieved an overall accuracy of 93.2%, a kappa coefficient of 0.91, and a Matthews correlation coefficient (MCC) of 0.89, with broader classification levels exceeding 95% accuracy. …”
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Predicting pile bearing capacity using gene expression programming with SHapley Additive exPlanation interpretation by Adil Khan, Majid Khan, Waseem Akhtar Khan, Muhammad Ali Afridi, Khawaja Atif Naseem, Ayesha Noreen

“…GEP is a computational technique that mimics biological gene expression processes to evolve computer programs or models capable of solving complex problems through the iterative generation, selection, and recombination of code segments. …”
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A MALDI-TOF MS-based multiple detection panel of drug resistance-associated multiple single-nucleotide polymorphisms in Candida tropicalis by Feifei Wan, Min Zhang, Jian Guo, Huiping Lin, Xiaoguang Zhou, Lixin Wang, Wenjuan Wu

“…The SNP panel enables identification of specific mutations at critical sites of drug-resistant strains to facilitate the rapid selection of appropriate antifungal agents and efficient monitoring of the regional epidemiological trends of resistance of C. tropicalis.IMPORTANCEC. tropicalis infections pose a growing global public health challenge, with mortality rates approaching 40%. …”
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Design, synthesis, and evaluation of triazolo[1,5-a]pyridines as novel and potent α‑glucosidase inhibitors by Fariba Peytam, Parham Foroumadi, Hayrettin Ozan Gulcan, Maryam Norouzbahari, Somayeh Mojtabavi, Mohammad Ali Faramarzi, Fahimeh Ghasemi, Mohammadreza Torabi, Behnaz Bameri, Maliheh Barazandeh Tehrani, Loghman Firoozpour, Alireza Foroumadi

“…The results of the molecular dynamics simulation demonstrated that the 15j–α-glucosidase complex exhibits high stability and effectively maintains its binding without causing significant structural changes in the enzyme, confirming the stable interaction and selective inhibition of this compound at the enzyme’s active site.…”
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Development of a graphical user interface for visualizing solid-state crystal parameters from XRD data and the Cramer-Cohen algorithm for sustainable material management by Maulana Ardi, Irzaman, Wahjuni Sri, Priandana Karlisa

“…This study introduces a Python-based GUI tool that streamlines lattice parameter calculations by integrating the Cramer-Cohen algorithm, which applies Bragg’s law and crystallographic geometry to transform complex analyses into an efficient workflow. The interface enables users to select five crystal systems (cubic, tetragonal, hexagonal, orthorhombic, monoclinic), input X-ray diffraction angles (2θ) and Miller indices (khl), and automatically compute lattice parameters. …”
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ForestAlign: Automatic forest structure-based alignment for multi-view TLS and ALS point clouds by Juan Castorena, L. Turin Dickman, Adam J. Killebrew, James R. Gattiker, Rod Linn, E. Louise Loudermilk

“…However, effective integration of these LiDAR sources relies heavily on efficient multi-scale, multi-view co-registration or point-cloud alignment methods. …”
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Comprehensive evaluation and ranking of CMIP6 global climate models for simulating climate extreme indices across diverse hydrological and geographical regions of Nepal by Shiksha Bastola, Koshish Raj Maharjan, Innkyo Choo, Younghun Jung

“…Model performance was assessed using Kling–Gupta Efficiency, Correlation Coefficient, and Normalized RMSE. …”
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