Model generation and parametric study of stick-slip induced vibration for mechanics under friction by Jitendra Yadav, Roushan Kumar, Adesh Kumar, Brijesh Gangil, Lalit Ranakoti, Shubham Sharma, Kuldeep Sharma, Rakesh Kumar, S Rajkumar, Krishnaraj Ramaswamy

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Generator Rescheduling Based Congestion Management in Power System Deregulation Using the Cheetah Optimization by Sajal Debbarma, Dipu Sarkar

“…Congestion management (CM), which takes into account the inherent uncertainties of the restructured power system, is essential to the functioning and security of DPM. This article demonstrates how to control congestion with generation rescheduling. …”
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Digital Architectural Form Generation Through Pixel System-Driven Image Feature Information by Hee-Sung An, You-Chang Jeon, Sung-Wook Kim

“…This study analyzes valuable information (image feature information) from pixel-based images to systematize the form generation process utilizing this information. Information in architecture is mainly used as an analytical tool for functional design optimization. …”
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Potentials of integrating generative artificial intelligence technologies into formative assessment processes in higher education by A. A. Paskova

“…The use of generative artificial intelligence technologies in education has the potential to revolutionize learning and educational assessment by personalizing the learning experience, providing immediate feedback, and improving the overall learning experience.The relevance of the research is due to the spread of artificial intelligence technologies and the lack of practices for formative assessment of educational achievements in higher education.The problem statement: existing domestic e-learning systems have limited functionality, which makes them difficult to use in the process of formative testing.The goal of the research is to study the possibility and effectiveness of using generative artificial intelligence technologies in formative assessment in higher education.The objectives of the research are to consider the theoretical foundations of using generative artificial intelligence tools in assessing knowledge, skills and abilities, and to analyze our own experience of using large language models in formative testing at a university.The methodological basis of the research is analysis of Internet resources and literary sources, methods of mathematical statistics, and synthesis.The research results: the possibilities of using and the effectiveness of generative artificial intelligence technologies in formative testing of university students have been studied, our own experience of using large language models in formative testing have been analyzed, the main limitations of introducing these technologies into the educational process have been identified, recommendations have been given for organizing formative testing using large language models.Key conclusions: Large language models can be integrated into the learning process to assess formative and summative tests, which will significantly reduce the workload of teachers, provide more objective results and, ultimately, increase the effectiveness of the learning process.…”
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Innovative Guardrails for Generative AI: Designing an Intelligent Filter for Safe and Responsible LLM Deployment by Olga Shvetsova, Danila Katalshov, Sang-Kon Lee

“…AVI provides a scalable and adaptable architectural template for the responsible deployment of generative AI in high-stakes domains such as finance, healthcare, and education, promoting safer and more ethical use of AI technologies.…”
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Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study by Rakhi Asokkumar Subjagouri Nair, Matthias Hartung, Philipp Heinisch, Janik Jaskolski, Cornelius Starke-Knäusel, Susana Veríssimo, David Maria Schmidt, Philipp Cimiano

“…ConclusionsTaken together, our results suggest that state-of-the-art pretrained language models are a valuable tool to provide qualitative insights about the patient experience to better understand unmet needs, patient priorities, and how a disease impacts daily functioning and quality of life to inform processes aimed at improving health care delivery and ensure that drug development focuses more on the actual priorities and unmet needs of patients. …”
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Correlation of compound muscle action potential generated by donor nerves with the recovery of elbow flexion in Oberlin transfer in brachial plexus injury by Mukund Ramchandra Thatte, Binita Bharat Raut, Amita Shivyogi Hiremath, Sushil Ramesh Nehete, Nayana Somala Nayak

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New Lifetime Alpha Power Exponential Weibull Distribution: Structure and Properties by Hiba Mahdi Saleh, Ali Talib Mohammed, Umar Yusuf Madaki

“…The cumulative, probability density, survival, hazard functions, and statistical properties of the proposed new model distribution were discussed and studied such as quantile function, moment about origin, moment generating function, Skewness, Kurtosis, factorial moments generating function, and characteristic function. …”
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The detection of distributional discrepancy for language GANs by Xingyuan Chen, Peng Jin, Ping Cai, Hongjun Wang, Xinyu Dai, Jiajun Chen

“…Different from the above-mentioned methods, we adopted the most recent metric functions, which measure the distributional discrepancy between real and generated text. …”
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A High-Precision Virtual Central Projection Image Generation Method for an Aerial Dual-Camera by Xingzhou Luo, Haitao Zhao, Yaping Liu, Nannan Liu, Jiang Chen, Hong Yang, Jie Pan

“…A global projection transformation matrix is constructed, and the sigmoid function is employed as a weighted distance function for image stitching. …”
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Using Deep Learning to Predict Complex Systems: A Case Study in Wind Farm Generation by J. M. Torres, R. M. Aguilar

“…Making every component of an electrical system work in unison is being made more challenging by the increasing number of renewable energies used, the electrical output of which is difficult to determine beforehand. …”
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Stochastic stability analysis method for doubly fed generator sets considering random blade stress by Wei Chen, Bo Wang, Zhanhong Wei, Qiangqiang Li

“…Abstract With the increasing capacity of doubly fed induction generators (DFIGs), the diameter of the wind turbine is increasing, the blades are getting longer and longer, and in the process of power generation, the tower shadow effect as well as the role of wind shear are more obvious, and the random blade stresses caused by this is also getting bigger. …”
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User Intent-Based Music Generation Model Combining Actor-Critic Approach With MusicVAE by Soyoung Jang, Jaeho Lee

“…This research proposes a way for music generation models to more clearly reflect user intent. …”
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Pressure Drop Analysis of Turbine Housing Model with Circular Sliced Pipe for Micro Hydropower Generation by Moh Abduh, Lourina Evanale Orfa, Sulianto Sulianto, Khairul Iqbal

“…Steps to increase energy independence in the new and renewable energy sector include hydro-energy generation. One of the important components of a hydro generator is the penstock pipe and turbine housing, which channels water and then pushes and drives (spins) the turbine with the flow of water to produce electrical energy. …”
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Classification of Properties in Human-like Dialogue Systems Using Generative AI to Adapt to Individual Preferences by Kaori Abe, Changqin Quan, Sheng Cao, Zhiwei Luo

“…The dialogue system driven by generative AI communicated with subjects in natural language via voice-based communication and featured a facial expression function. …”
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Robust Strategy Generation for Automatic Navigation of Unmanned Surface Vehicles through Improved DDPG Algorithm by Wei Wang, Subin Huang, Huabin Diao

“…However, the increase in the complexity of network model structures has led to instability during the training process. Therefore, generating more robust navigation strategies, namely ensuring robust reward-score trends during training and smoother action trajectories of the USV, is crucial for automatic navigation and constitutes the main research question of this study. …”
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Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills. by Russell Dinnage, Marian Kleineberg

“…In this study we explore the potential of generative Artificial Intelligence to help organize and extract meaning from complex 3D data. …”
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Symmetrical Resonance Mechanism of Elimination of Parasitic Torques of the Permanent Magnets Generator when Starting and Idling by K. V. Dobrego

“…The corresponding tables for various classes of potentials are given which can serve as a basis for making design decisions when developing generators. Pi-resonance more probably takes place in the case of even number of stator coils and odd number of magnets, as well as with an increase in the number of stator coils. …”
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From spheroids to organoids: next-generation models for CAR-T cell therapy research in solid tumors by Mégane Jassin, Alix Block, Alix Block, Laury Désiront, Louise Vrancken, Louise Vrancken, Céline Grégoire, Frédéric Baron, Frédéric Baron, Grégory Ehx, Grégory Ehx, Thi Tham Nguyen, Jo Caers, Jo Caers

“…Unlike 2D models, 3D systems offer a more physiologically relevant environment, better mimicking the TME, tumor heterogeneity, and immune interactions which CAR-T cells must encounter. …”
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Second-harmonic generation microscopy of murine scleral remodeling by collagenase and reparative collagen mimetic peptides by Daniel E. Savage, Daniel E. Savage, Aldo Tecse, Aldo Tecse, Jiaxi Zhou, James A. Germann, Mark R. Buckley, Mark R. Buckley, Robert O. Baratta, Brian J. Del Buono, Eric Schlumpf, Michael Telias, Michael Telias, Susana Marcos, Susana Marcos

“…CMP treatment of digested sclera resulted in a collagen organization that was more similar (i.e., not significantly different) from untreated tissue at depths up to 60 μm (p < 0.05). …”
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