Two-stage voltage control partitioning method for distribution network containing distributed generation by Aigang YANG, Miaoran YANG, Lijun XIE, Jianwei SHAO

“…The results show that the proposed partitioning method has stronger reactive power regulation capability and is more suitable for autonomous control of regional voltage and reactive power in distribution networks.…”
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Adaptation of the REINVENT neural network architecture to generate potential HIV-1 entry inhibitors by D. A. Varabyeu, A. D. Karpenko, A. V. Tuzikov, A. M. Andrianov

“…To accelerate the learning of the neural network in the modified version of the REINVENT model, the AutoDock-Vina-GPU-2.1 docking program was used, and to clarify the results of its work, the procedure for revaluing the affinity of compounds to the target using the RFScore-4 evaluation function was used.Results. Using a modified version of the REINVENT model, more than 60,000 compounds were obtained, of which about 52,000 molecules have a binding energy value to the HIV-1 gp120 protein comparable to the value calculated for the HIV-1 inhibitor NBD-14204, used in calculations as a positive control. …”
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A Study on an Improved Generative Adversarial Network Model for Super-Resolution Image Reconstruction by Ximin Qu, Cheng Peng

“…The SRGAN model based on Generative Adversarial Networks (GANs) has achieved breakthroughs in perceptual quality for image super-resolution reconstruction. …”
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Radar Echo Extrapolation Based on Translator Coding and Decoding Conditional Generation Adversarial Network by Xingang Mou, Yuan He, Wenfeng Li, Xiao Zhou

“…Lastly, a composite multi-loss function is proposed to enhance the network’s capability to model intricate spatiotemporal evolving radar echo data, facilitating a more comprehensive assessment of the quality of the generated images, which in turn fortifies the network’s robustness. …”
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Bio-inspired generative design of contact interfaces subjected to time-dependent loading conditions by David Hernandez-Aristizabal, Santiago Arroyave-Tobón, Kalenia Marquez-Florez, Jean-Marc Linares

“…The results demonstrate that the growth principles lead to almost uniform contact pressure under time-independent loads, up to 34.7% more uniform than reference shapes. Under time-dependent loads, it generates shapes with reduced maximum shear stress and contact pressure (up to 73%) with respect to initial shapes. …”
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Predicting contrast sensitivity functions with digital twins by Yukai Zhao, Luis Andres Lesmes, Michael Dorr, Zhong-Lin Lu

“…Abstract We developed and validated digital twins (DTs) for contrast sensitivity function (CSF) across 12 prediction tasks using a data-driven, generative model approach based on a hierarchical Bayesian model (HBM). …”
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Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal by Soojeong Lee, Mugahed A. Al-antari, Gyanendra Prasad Joshi, Yeong Hyeon Gu

“…Thus, accurate estimation of RRs for cardiopulmonary function is essential for home health monitoring systems. …”
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Recent progress on functional hydrogels as biomaterial for biomedicine by Hepeng Yang, Taotao Zeng, Tao Jiang, Qin Wei, Seyed Dariush Taherzade, Xiaolan Peng, Junping Zhu, Zeyan Zhou

“…In the future, combined with 3D printing, microfluidic technology and functional design, hydrogels are expected to play a more important role in personalized medical care and complex tissue regeneration, becoming the next generation of core biomaterials.…”
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Identification of diversity-generating retroelements in host-associated and environmental genomes: prevalence, diversity, and roles by Mariela Carrasco-Villanueva, Chaoxian Wang, Chaochun Wei

“…Abstract Background The diversity-generating retroelements (DGRs) are a family of genetic elements that can produce mutations in target genes often related to ligand-binding functions, which possess a C-type lectin (CLec) domain that tolerates massive variations. …”
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Microservices-Driven Automation in Full-Stack Development: Bridging Efficiency and Innovation With FSMicroGenerator by Samira Khalfaoui, Hafida Khalfaoui, Abdellah Azmani

“…FSMicroGenerator also stands out for its ability to create a catalog of ready-to-use functional blocks, enabling their reuse and integration into other solutions. …”
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Appliances of Generative AI-Powered Language Tools in Academic Writing: A Scoping Review by Lilia Raitskaya, Елена Тихонова

“…The potential of AI language tools embraces many functions (text generation, proofreading, editing, text annotation, paraphrasing and translation) and provides for assistance in research and academic writing, offers strategies for hybrid AI-powered writing of various assignments and genres and improvements in writing quality. …”
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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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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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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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Medication, age and abstinence days associated with low semen quality: A cross-sectional study in more than 7000 men visiting the centre for reproductive medicine. by P G J Ter Horst, M A Edens, D den Besten-Bertholee, L W Mulder, M H J M Curfs

“…Therefore, this study should be interpreted as a hypothesis-generating study.…”
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Insect seedling herbivory is influenced by multiple factors, but the plant apparency theory is more supported than other hypotheses – A case study in a subtropical forest by Baozhu Yuan, Bo Wang

“…Overall, our findings showed that the plant apparency hypothesis was more supported than the other hypotheses in explaining insect seedling herbivory. …”
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