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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

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.…”
Get full text

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.…”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text