IoT BotScan: Ultra-Lightweight AI Defense Against Botnet Threats by Sapna Sadhwani, Urvi Kavan Modi, Raja Muthalagu, Pranav M. Pawar, Alavikunhu Panthakkan, Wathiq Mansoor

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Thyristor booster device for voltage fluctuation reduction in power supply systems of ore mining enterprises by Elena N. Sosnina, Anatolii A. Asabin, Rustam Sh. Bedretdinov, Evgenii V. Kryukov, Daniil A. Gusev

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A Reliable Approach for Solving Transmission Network Expansion Planning with Objective of Planning Cost Reduction by Yongqiu Liu

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Enhancing the Synergistic Pathways of Industrial Pollution and Carbon Reduction (PCR) in China: An Energy Efficiency Perspective by Zhiyuan Gao, Ziying Jia, Ying Zhao, Yu Hao

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GDMD: A Disaster Data Hub Fabric the Open Data Network for Disaster Risk Reduction by Juanle Wang, Kun Bu, Xiaodong Min, Qiuyuan Wang, Yuelei Yuan, Feiran Sun

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Forecasting Stock Value Based on Data from Social Media and Investment Instruments by Ömer Faruk Uyrun, İbrahim Sabuncu

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Domain-specific large language model for predicting band gap and formation energy of III-VIIIB and III-IVA nitrides based on fine-tuned GPT-3.5-turbo by Lin Hu, Guozhu Jia

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A Novel Explainable Attention-Based Meta-Learning Framework for Imbalanced Brain Stroke Prediction by Inam Abousaber

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Assessing the moderating role of technological innovation on food security in poverty reduction within the Visegrad region by Kwabena Nsiah Takyi, Beata Gavurova, Martin Mikeska

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Heart rate lowering treatment leads to a reduction in vulnerable plaque features in atherosclerotic rabbits. by Raf H M van Hoof, Evelien Hermeling, Judith C Sluimer, Julie Salzmann, Arnold P G Hoeks, Jérôme Roussel, Mat J A P Daemen, Harry Struijker-Boudier, Joachim E Wildberger, Sylvia Heeneman, M Eline Kooi

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A Study on Carbon Reduction and Emission Mitigation Based on the Optimal Shear Wall Layout Ratio by Hairuo Wang, Mengchen Zhang, Junxue Zhang, Tianjian Zhang, Yutong Wang, Siyu Cai

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Analysisof the Vibration Reduction Characteristics of Boring Bar with A Variable Mass Dynamic Vibration Absorber by LIU Qiang, LIU Xian-li, WU Shi, YANG Lin, LI Rong-yi, YANG Hao

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The Active and Reactive Power Generation Reduction Based on Optimal location of UPFC Based on Genetic Algorithm by Sana Khalid Abd Al Hassan, Firas Mohammed Tuaimah, Yasser Nadhum Abd, Ali Adil Al-Lami

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Lightweight Strategies for Wooden-Structure Buildings Based on Embodied Carbon Emission Calculations for Carbon Reduction by Yukun Zhai, Yunan Li, Su Tang, Yixuan Liu, Yazhuo Liu

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Green manure incorporation with nitrogen reduction improves water productivity of spring wheat in arid areas by Bo Yin, Aizhong Yu, Pengfei Wang, Yulong Wang, Yongpan Shang, Dongling Zhang, Yalong Liu, Xiaoneng Pang, Keqiang Jiang, Jianzhe Huo, Feng Wang, Yue Li

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Integrating single-cell RNA-seq and bulk RNA-seq to construct a neutrophil prognostic model for predicting prognosis and immune response in oral squamous cell carcinoma by Jinhang Wang, Zifeng Cui, Qiwen Song, Kaicheng Yang, Yanping Chen, Shixiong Peng

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On the analytical aspects of diagnosis of the crisis state enterprises-participants of foreign economic activity by T. V. Shmulevich, Yu. V. Kuzminykh

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Biomarker discovery and development of prognostic prediction model using metabolomic panel in breast cancer patients: a hybrid methodology integrating machine learning and explaina... by Fatma Hilal Yagin, Yasin Gormez, Fahaid Al-Hashem, Irshad Ahmad, Fuzail Ahmad, Luca Paolo Ardigò

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Is Moss Still a Reliable Biomonitor of Nitrogen and Sulfur Deposition After Decades of Emissions Reductions? by Mehriban Jafarova, Julian Aherne, Monia Renzi, Serena Anselmi, Inga Zinicovscaia, Nikita Yushin, Ilaria Bonini, Stefano Loppi

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Assessing individual genetic susceptibility to metabolic syndrome: interpretable machine learning method by Tao Huang, Yuanyuan Li, Simin Wang, Shijie Qiao, Xiujuan Zheng, Wenhui Xiong, Menghan Yang, Xirui Huang, Bizhen Gao

“…Furthermore, the model combining conventional risk factors and GRS exhibited excellent discriminative performance (AUC = 0.962) and outstanding robustness (mean ROC-AUC = 0.959).Conclusion This study established a reliable XGBoost-based GRS model and a GRS prediction platform (https://metabolicsyndromeapps.shinyapps.io/geneticriskscore/) to assess individual genetic susceptibility to MetS. …”
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