A hybrid framework of generative deep learning for antiviral peptide discovery by Huynh Anh Duy, Tarapong Srisongkram

“…These findings highlight the potential of our hybrid approach as a powerful tool for antiviral peptide discovery and contribute to advancing peptide-based therapeutic research. To maximize its impact on AVPs discovery, we have deployed our predictive models as a publicly accessible platform at https://avp-predictor.streamlit.app, offering researchers a practical tool for prioritizing candidate peptides.…”
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Mentorship among healthcare researchers: a social network analysis by Bo Kim, Bo Kim, Erin A. Pleasants, Jennifer L. Sullivan, Jennifer L. Sullivan, Amy M. Linsky, Amy M. Linsky, Amy M. Linsky

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Actual Problems of Development and Improvement of Constitutional Legislation (to the 30th Anniversary of the Constitution of the Russian Federation) by V. E. Sevryugin

“…It is emphasized that advancing and refining national constitutional legislation is contingent upon drawing from progressive international practices and ensuring the preservation of social principles and traditional values inherent to its diverse populace. …”
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Temperature Field Prediction of Glulam Timber Connections Under Fire Hazard: A DeepONet-Based Approach by Jing Luo, Guangxin Tian, Chen Xu, Shijie Zhang, Zhen Liu

“…This research establishes a complete workflow from fundamental heat transfer analysis to efficient data generation and machine learning prediction, providing structural engineers with practical tools for the performance-based fire safety design of timber connections. …”
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Determinants of ChatGPT Adoption Intention in Higher Education: Expanding on TAM with the Mediating Roles of Trust and Risk by Stefanos Balaskas, Vassilios Tsiantos, Sevaste Chatzifotiou, Maria Rigou

“…Practical insights are provided for fostering ethical and responsible ChatGPT integration, safeguarding academic integrity, and promoting equitable access in higher education.…”
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Microfluidic biosensors for biomarker detection in body fluids: a key approach for early cancer diagnosis by Zhiting Liu, Yingyu Zhou, Jia Lu, Ting Gong, Elena Ibáñez, Alejandro Cifuentes, Weihong Lu

“…Microfluidic biosensors have emerged as a powerful tool for detecting these biomarkers in body fluids, providing enhanced sensitivity, specificity, and rapid analysis. …”
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An Endogenous Security-Oriented Framework for Cyber Resilience Assessment in Critical Infrastructures by Mingyu Luo, Ci Tao, Yu Liu, Shiyao Chen, Ping Chen

“…Our approach offers a significant advancement over static risk assessment models by providing actionable metrics for strategic resilience investments. …”
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MultiFG: integrating molecular fingerprints and graph embeddings via attention mechanisms for robust drug side effect prediction by Zuhai Hu, Jinxiang Yang, Linghao Ni, Liyuan Zhang, Bin Peng

“…Overall, MultiFG offers a significant advancement in both side effect association and frequency prediction tasks, providing a practical and powerful tool for risk assessment across both marketed and investigational drugs.…”
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A model for landscape heritage information extraction and 3D generation from sketches and text prompts with IoT-enhanced data fusion by Yu Xing, Hanlin Chen, Yimeng Xing

“…Experimental results confirm that LHIE-3D not only enhances reconstruction accuracy but also offers intuitive editing capabilities, providing a practical tool for cultural heritage preservation.…”
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Application of Hybrid MCDA Tools for Constructability Review in Infrastructure Projects: A Bridge Case Study by Mansoureh Khorasani Nejad, Maria Rashidi, Vahid Mousavi

“…The application of the proposed methodology is demonstrated through a case study of a large-scale bridge project in Australia, providing a practical example of its efficiency. The results showed that the proposed framework can enhance decision-making processes in the complex conditions and not only to mitigate the risks of failure by applying CRP to evaluate project options based on specific criteria and constraints in the feasibility stage, but also improve the project outcomes by enabling designers and decision-makers to choose the best alternative.…”
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Integrating drone technology in sustainable agriculture: Precision environmental monitoring and resource management by Takhumova Oksana, Pustuev Andrey, Eiryan Nikolay, Sarsadskikh Anastasia, Rykalina Olga

“…Current advances in data analytics further amplify the benefits, providing farmers with actionable insights to optimize plant nutrition, irrigation schedules, pest control, and harvest timing. …”
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Explainable Graph Neural Networks for Power Grid Fault Detection by Richard Bosso, Corey Chang, Mahdi Zarif, Yufei Tang

“…The proposed framework not only enhances the practical usability of GNN-based systems but also contributes to advancing their adoption in critical power grid applications.…”
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Research on the Intrinsic Sensing Performance of an Optical Fiber Dosimeter Based on Radiation-Induced Attenuation by Junyu Hou, Zhanzu Feng, Ge Ma, Weiwei Zhang, Zong Meng, Yuhe Li

“…In summary, these advancements provided critical guidance for component selection and operational evaluation, facilitating the commercialization and practical deployment of RIA-based dosimeters.…”
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Road-mapping for smart and lean tools with a sustainability perspective: A new model proposal by Mehmet Akif Gündüz, Sercan Demir, Turan Paksoy

“…This paper not only advances academic discourse but also offers a practical tool for industry practitioners navigating the complexities of smart-lean manufacturing, ensuring a sustainable and environmentally responsible approach in the pursuit of long-term performance improvements.…”
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FraudX AI: An Interpretable Machine Learning Framework for Credit Card Fraud Detection on Imbalanced Datasets by Nazerke Baisholan, J. Eric Dietz, Sergiy Gnatyuk, Mussa Turdalyuly, Eric T. Matson, Karlygash Baisholanova

“…By addressing technical and practical challenges, FraudX AI advances fraud detection systems with its robust performance on imbalanced datasets and its focus on interpretability, offering a scalable and trusted solution for real-world financial applications.…”
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Comparative analysis of machine learning models for detecting water quality anomalies in treatment plants by P. Prabu, Ala Saleh Alluhaidan, Romana Aziz, Shakila Basheer

“…These results highlight the model’s strong predictive capability and its practical utility in improving water treatment plant efficiency. …”
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Analysis of Seismic Performance for Segmentally Assembled Double-Column Bridge Structures Based on Equivalent Stiffness by Huixing Gao, Wenjing Xia, Guoqing Liu

“…This research holds significant theoretical and practical value for advancing seismic design methodologies for self-centering segmental bridge piers and enhancing the seismic safety of bridge structures.…”
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If ChatGPT can do it, where is my creativity? generative AI boosts performance but diminishes experience in creative writing by Peidong Mei, Deborah N. Brewis, Fortune Nwaiwu, Deshan Sumanathilaka, Fernando Alva-Manchego, Joanna Demaree-Cotton

“…We contribute to the nascent literature on GenAI by showing how ChatGPT assistance could potentially bolster human creativity by facilitating content delivery or providing useful counterpoint ideas. We also significantly advance scholarship on understanding experience of GenAI, demonstrating that bypassing the cognitive effort required for creativity by using ChatGPT could be harmful to the creative process and experience of creative tasks, especially when steps are not taken to address the use of AI in a transparent manner. …”
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Evaluating energy security in decentralized systems: Review and new index by Omri Carmon, Na’ama Teschner, Shiri Zemah-Shamir, Yael Parag

“…This approach significantly advances existing energy security assessment methods, providing policymakers and researchers with a flexible, detailed tool for strategic analysis and informed decision-making in transitioning energy systems.…”
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Privacy-preserving multi-party data joint analysis scheme based on multiset operations in smart contracts by Xin Liu, Huize Gao, Dan Luo, Lanying Liang, Lu Peng, Yuchen Zhang, Shijie Jia, Gang Xu, Xiubo Chen, Baohua Zhang, Yu Gu

“…Finally, efficiency analysis and experimental simulations demonstrate that the proposed protocols are efficient, reliable, and fair, providing a secure and practical solution for multi-party data joint analysis and privacy protection in smart contracts.…”
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