Status and opportunities of machine learning applications in obstructive sleep apnea: A narrative review by Matheus Lima Diniz Araujo, Trevor Winger, Samer Ghosn, Carl Saab, Jaideep Srivastava, Louis Kazaglis, Piyush Mathur, Reena Mehra

“…Machine learning models have been increasingly applied in various aspects of OSA research, including diagnosis, treatment optimization, and developing biomarkers for endotypes and disease mechanisms. …”
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Multi-Agent Deep Reinforcement Learning Approach for Temporally Coordinated Demand Response in Microgrids by Chunchao Hu, Zexiang Cai, Yanxu Zhang

“…Price-based and incentive-based demand response (DR) are both recognized as promising solutions to address the increasing uncertainties of renewable energy sources (RES) in microgrids. However, since the temporally optimization horizons of price-based and incentive-based DR are different, few existing methods consider their coordination. …”
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Comparison of numerical model, neural intelligent and GeoStatistical in estimating groundwater table by Maryam Bayatvarkeshi, Rojin Fasihi

“…The NRMSE value in Wavelet-ANN method as optimization method was 0.11 % and in numerical model was 2.2 %. …”
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Enhancing medical AI with retrieval-augmented generation: A mini narrative review by Omid Kohandel Gargari, Gholamreza Habibi

“…Retrieval-augmented generation (RAG) is a powerful technique in artificial intelligence (AI) and machine learning that enhances the capabilities of large language models (LLMs) by integrating external data sources, allowing for more accurate, contextually relevant responses. …”
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Air-stable silicon hybrid solar cells constructed via hydrophobic polymer film by Qi Geng, Zhen Liu, Yuzhou Liu, Zhe Wang, Zhongliang Gao, Xin Sun, Yingfeng Li, Lei Chen, Xiaojun Lv, Meicheng Li

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Cross-cutting technologies in training physical culture and sports for students by Yu. I. Zhuravleva, M. V. Katrenko, V. V. Barannikov, A. N. Prodius

“…It was revealed that end-to-end technologies: cloud technologies (Cloud Technologies); blockchain (Blockchain); Big Data (BigData); artificial intelligence (AI) – allow the use of a variety of forms and methods of their manifestation in the educational process of university students, and are one of the modern ways of intensifying and optimization of all education. …”
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AI-driven demand forecasting for enhanced energy management in renewable microgrids: A hybrid LSTM-CNN approach by Bashiru olalekan ariyo, mutalub adesina lambe, olalekan ogunbiyi, musa abdulwaheed, bilkisu jimada ojuolape, monsurat omolara balogun

“…However, the inherent unpredictability of renewable energy sources presents significant challenges in energy management. …”
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Peculiarities of the Functioning of the Taboo Lexicon in the Modern Western Cinematography by S. A. Pankratova

“…The implementation presupposes analysis of taboo lexical units, revealing their functioning features as regards to acceptable implementation of the taboo and to depict the possible ways of optimization of its use in modern cinema.Methodology and sources. …”
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Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms by Jorge Enrique Chaparro, José Edinson Aedo, Felipe Lumbreras Ruiz

“…In addition, regularization techniques were applied, including cross-validation, feature selection, boost methods, L1 (Lasso) and L2 (Ridge) regularization, as well as hyperparameter optimization. …”
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The Impact of Nature Reserves on the Ecological Network of Urban Agglomerations—A Case Study of the Urban Agglomeration in the Middle Reaches of the Yangtze River by Weidi Li, Xiaoxu Liang, Anqiang Jia, John Martin

“…Different types of nature reserves are then superimposed to create four distinct source schemes. Subsequently, a resistance surface is constructed through a comprehensive evaluation method to assess ecological barriers. …”
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Research on Parameter Distribution Features of Photovoltaic Array under the Cover and Shadow Shading Conditions by Honglu Zhu, Cao Yu, Lingxing Lu, Weiwei Lian, Jianxi Yao, Yang Hu

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High entropy powering green energy: hydrogen, batteries, electronics, and catalysis by Guotao Qiu, Tianhao Li, Xiao Xu, Yuxiang Liu, Maya Niyogi, Katie Cariaga, Corey Oses

“…We highlight the role of computational methods, such as density functional theory and machine learning, in accelerating the discovery and optimization of HEMs. …”
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Research advances in mesenchymal stem cells and related therapies for rotator cuff tendon-to-bone healing by Laimeng Song, Na Li, Jiwu Chen

“…Clinical studies demonstrate reduced retear rates with MSC-based therapies, yet animal models show inconsistent outcomes, influenced by cell source, delivery methods, and dosage. MSC modifications (e.g., gene editing) and scaffold-based strategies further improve biomechanical strength and fibrocartilage regeneration. …”
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Digital Technologies in the Financial sector: Evolution and Major Development Trends in Russia and Abroad by D. A. Artemenko, S. V. Zenchenko

“…The research is based on the analysis of data provided by international consulting companies, analytical centers, and official data sources of the Central Bank (Bank of Russia). The authors apply methods such as comparative research, empirical, logical, graphical, analysis, interpretation, and comparison. …”
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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

“…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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Quantum-Inspired Control Strategies for Reducing DC-Link Voltage Fluctuations in DFIG Wind Energy Converters by Sarika Shrivastava, Saifullah Khalid, Dinesh Kumar Nishad

“…This superposition-based optimization explores multiple solution spaces in parallel, achieving 40-50% faster convergence than classical methods. …”
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Learning super-resolution and pyramidal convolution residual network for vehicle re-identification by Mengxue Liu, Weidong Min, Qing Han, Hongyue Xiang, Meng Zhu

“…In this study, we propose a Vehicle Re-ID method based on super resolution and pyramidal convolution residual network. …”
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Microplastics in Museums: Pollution and Paleoecology by Christine C. Gaylarde, Estefan M. da Fonseca

“…Such research studies, and potential similar investigations on historical stored tissue samples, require optimization before the information stored in these sources can be fully mined. …”
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Improving tumor treatment: Cell membrane-coated nanoparticles for targeted therapies by Pablo Graván, Juan Antonio Marchal, Francisco Galisteo-González

“…Additionally, the state of the art in methodologies is critically examined, noting that while effective methods for coating and isolation of CMs exist, further optimization is still required. …”
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Identification of Spatial Conflict Between Construction Land Expansion and Ecological Land Use in Urumqi by MA Yanjie, YIN Huihui, WANG Shanshan, WANG Juanjuan, TIAN Liulan, WU Zhaopeng

“…[Methods] Based on the land use data of Urumqi city in 2000, 2010 and 2020, the spatial conflict between construction land expansion and ecological land use in Urumqi city was analyzed by using the attitude of land use dynamics, the speed and pattern of construction land expansion, identifying ecological sources and constructing a spatial pattern of ecological security. …”
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