Research on Ship Engine Fuel Consumption Prediction Algorithm Based on Adaptive Optimization Generative Network by Defu Zhang, Yuxuan Song, Jianfeng Gao, Zhenyu Shen, Liangkuan Li, Anren Yao

“…This study not only provides a systematic data-driven modeling framework, offering technical insights for constructing high-quality datasets, but also establishes a novel generative modeling approach for marine diesel engine fuel consumption prediction, providing robust support for intelligent engine maintenance and energy efficiency optimization.…”
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An optimized ensemble ML-WQI model for reliable water quality prediction by minimizing the eclipsing and ambiguity issues by Ashifur Rahman, M. M. Mahbubul Syeed, Md. Rajaul Karim, Kaniz Fatema, Razib Hayat Khan, Mohammad Faisal Uddin

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BMP6-Engineered MSCs Induce Vertebral Bone Repair in a Pig Model: A Pilot Study by Gadi Pelled, Dmitriy Sheyn, Wafa Tawackoli, Deuk Soo Jun, Youngdo Koh, Susan Su, Doron Cohn Yakubovich, Ilan Kallai, Ben Antebi, Xiaoyu Da, Zulma Gazit, Hyun Bae, Dan Gazit

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A novel heat transfer modeling methodology for regenerative cooling in liquid propellant rocket engines by T. Gândara, V. Costa, J. Dias

“…The proposed methodology is an iteration-based one-dimensional model that solves coupled heat transfer equations between the hot gas, chamber wall, and coolant along the engine length. …”
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Data quality and uncertainty issues in flood prediction: a systematic review by Jinhui Yu, Yichen Li, Xiao Huang, Xinyue Ye

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MTLink: Adaptive multi-task learning based pre-trained language model for traceability link recovery between issues and commits by Yang Deng, Bangchao Wang, Qiang Zhu, Junping Liu, Jiewen Kuang, Xingfu Li

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Digital Twin Application in Teaching Students Majoring in Metallurgical Engineering by V. N. Baranov, A. I. Bezrukikh, I. L. Konstantinov, E. A. Rudnitsky, N. S. Solopeko, Yu. V. Baykovskiy

“…The article addresses the crucial issues of training engineering personnel with the use of digital twins. …”
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An Exploratory Study About Integrating Enterprise Engineering Change Management into Blockchain Technology by Lewis A. Njualem, Chirag Pandey

“…This research explores the integration of BCT in enterprise systems to enhance the engineering change management (ECM) process. Employing the technology acceptance model (TAM) to assess adoption intentions from the perspective of users, two concepts were examined: perceived usefulness (PU) and perceived ease of use (PEU). …”
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Selected Topics on Complex Systems Informatics: Editorial Introduction to Issue 12 of CSIMQ by Kurt Sandkuhl

“…Modeling is an important contribution to dealing with complexity in development and engineering processes. …”
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Transplantation of engineered vascularized lymphatic tissue using LEC and in vivo AV loop model to enhance lymphangiogenesis and restore lymphatic drainage in a lymphadenectomy rat... by Gina A. Mackert, Hui-Yi Hsiao, Yung-Chun Chang, Robin T. Wu, Rushil R. Dang, Richard Tee, Jung-Ju Huang

“…Engineering vascularized lymphatic tissue offers a promising alternative to achieve this goal. …”
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Preclinical Testing of New Hydrogel Materials for Cartilage Repair: Overcoming Fixation Issues in a Large Animal Model by Benedict Lotz, Friederike Bothe, Anne-Kathrin Deubel, Eliane Hesse, Yvonne Renz, Carsten Werner, Simone Schäfer, Thomas Böck, Jürgen Groll, Brigitte von Rechenberg, Wiltrud Richter, Sebastien Hagmann

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Preclinical evaluation of tissue-engineered vascular grafts with biodegradable components: assessing the effectiveness of animal models from rats to primates by L. V. Antonova, E. A. Senokosova, A. V. Mironov, A. R. Shabaev, E. S. Sardin, V. G. Matveeva, E. O. Krivkina, M. Yu. Khanova, E. A. Torgunakova, L. S. Barbarash

“…The accuracy of assessing the risks of failure in biodegradable small-diameter vascular grafts (SDVGs) during preclinical trials is highly dependent on the choice of animal model. This article presents the results of comprehensive preclinical trials conducted on an SDVG developed at the Research Institute for Complex Issues of Cardiovascular Diseases. …”
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Multi-Field Coupling Models of Coal and Gas and Their Engineering Applications to CBM in Deep Seams: A Review by Xingying Ma, Aitao Zhou, Xiaoyu Cheng, Cheng Cheng, Wei Zhao

“…We further analyze the application and development of the model in typical coal seam gas extraction engineering on this basis. …”
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Enhancing Software Sustainability: Leveraging Large Language Models to Evaluate Security Requirements Fulfillment in Requirements Engineering by Ahmad F. Subahi

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Research on multi-objective control of PPCI diesel engine combustion process based on data driven modelling by Ziqiang Chen, Peng Ju, Zhe Wang, Du Huang, Lei Shi, Kangyao Deng

“…Control of combustion stability in partial pre-mixed compression ignition (PPCI) engine is one of the main issues facing its application. …”
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Automating Monte Carlo simulations in nuclear engineering with domain knowledge-embedded large language model agents by Zavier Ndum Ndum, Jian Tao, John Ford, Yang Liu

“…Next-generation nuclear reactor technologies, such as molten salt and fast reactors present complex analytical challenges that require advanced modeling and simulation tools. Yet, traditional workflows for Monte Carlo simulations like FLUKA are labor-intensive and error-prone, relying on manual input file generation and post-processing. …”
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Providing a Coherence Strategy for Six Sigma and Capability Maturity Model of Software by Shaban Elahi, Jalil Mousavi

“…One of the solutions is the CMMI model, which is a framework for improving the methods and service delivery. …”
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Potato Disease and Pest Question Classification Based on Prompt Engineering and Gated Convolution by Wentao Tang, Zelin Hu

“…Experiments using GF-CNN on the PDPQCD, Subj, and THUCNews datasets show <i>F</i>1 scores of 100.00%, 96.70%, and 93.55%, respectively, outperforming other models. The prompt engineering-based method provides a new paradigm for constructing question classification datasets, and the GF-CNN can also be extended for application in other domains.…”
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Numerical Simulation and Engineering Application of Temporary Stress Field in Coal Mine Roadway by Heng Zhang, Hongwei Ma, Chuanwei Wang, Qinghua Mao, Xusheng Xue

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MSegNet: A Multi-View Coupled Cross-Modal Attention Model for Enhanced MRI Brain Tumor Segmentation by Yu Wang, Juan Xu, Yucheng Guan, Faizan Ahmad, Tariq Mahmood, Amjad Rehman

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