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

“…We aim to identify trends and gaps to guide future research and improve clinical decision-making that leverages machine learning. Methods: This narrative review examines data extracted from 254 scientific publications published in the PubMed database between January 2018 and March 2023. …”
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A Review of Bioelectrochemical Strategies for Enhanced Polyhydroxyalkanoate Production by Alejandro Chamizo-Ampudia, Raúl. M. Alonso, Luisa Ariza-Carmona, África Sanchiz, María Isabel San-Martín

“…The integration of BES into PHA production processes has been shown to reduce costs, enhance productivity, and support the use of renewable carbon sources. However, challenges remain, such as optimizing reactor design, scaling up processes, and improving the electron transfer efficiency. …”
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Comparison of chamber beam geometry robustness to mispointing, imbalance and target offset for direct-drive laser fusion facilities by D. Viala, A. Colaïtis, D. Barlow, D. Batani

“…This study focuses on the optimization of beam chamber geometry designs for future direct-drive laser facilities. …”
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Reliable and efficient magnetic data inversion for resource detection using a hybrid bat algorithm by Khalid S. Essa, Mahmoud Elhussein, Omar A. Gomaa, Zein E. Diab

“…This study introduces an innovative hybrid algorithm integrating the Bat Algorithm (BA) with the Fourth Horizontal Gradient (FHG) to optimize the estimation of geometric parameters (depth, amplitude coefficient, shape factor, source origin, and magnetization angle) from magnetic field data. …”
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A self-powered soft triboelectric-electrohydrodynamic pump by Fangming Li, Shuowen Sun, Xingfu Wan, Minzheng Sun, Steven L. Zhang, Minyi Xu

“…Using power management circuit, geometric shape optimization, and stacking methods, we achieve a maximum pressure of 4.49 kPa and a maximum flow rate of 502 mL/min. …”
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Effective Machine Learning Techniques for Non-English Radiology Report Classification: A Danish Case Study by Alice Schiavone, Lea Marie Pehrson, Silvia Ingala, Rasmus Bonnevie, Marco Fraccaro, Dana Li, Michael Bachmann Nielsen, Desmond Elliott

“…Background: Machine learning methods for clinical assistance require a large number of annotations from trained experts to achieve optimal performance. …”
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Strategies Used for the Discovery of New Microbial Metabolites with Antibiotic Activity by Pablo Dasí-Delgado, Cecilia Andreu, Marcel·lí del Olmo

“…This work critically reviews current strategies for identifying antimicrobial compounds, emphasizing the potential of microorganisms as a rich source of bioactive secondary metabolites. This review explores innovative methods, such as investigating extreme environments where adverse conditions favor the emergence of unique metabolites; developing techniques, like the iChip, to cultivate previously uncultivable bacteria; using metagenomics to analyze complex samples that are difficult to isolate; and integrates artificial intelligence to accelerate genomic mining, structural prediction, and drug discovery optimization processes. …”
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The Design, Creation, Implementation, and Study of a New Dataset Suitable for Non-Intrusive Load Monitoring by Carlos Rodriguez-Navarro, Francisco Portillo, Francisco G. Montoya, Alfredo Alcayde

“…The increasing need for efficient energy consumption monitoring, driven by economic and environmental concerns, has made Non-Intrusive Load Monitoring (NILM) a cost-effective alternative to traditional measurement methods. Despite its progress since the 1980s, NILM still lacks standardized benchmarks, limiting objective performance comparisons. …”
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Nonlinear Dynamics of Marine Rotor System Coupled with Air Bag-Floating Raft Subjected to the Basement Excitations in Lateral Directions by Wen Zhao, Ming Li, Yuanbo Liu

“…Last, the bifurcations of the mechanical isolation system with different parameters are analyzed through numerical methods, especially the effect of excitation frequency and amplitude. …”
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Testing the limits of short-reads metagenomic classifications programs in wastewater treating microbial communities by Leandro Di Gloria, Lorenzo Casbarra, Tommaso Lotti, Matteo Ramazzotti

“…To support this research, we quantitatively compared classification methods differing in read length (raw reads, contigs and MAGs), overall search approach (Kaiju, Kraken2, RiboFrame and kMetaShot), as well as source databases to assess the classification performances at both the genus and species levels using an in silico-generated mock community designed to provide a simplified yet comprehensive representation of the complex microbial ecosystems found in AS and AGS. …”
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Wind speed forecasting approach using conformal prediction and feature importance selection by Cesar Vinicius Zuege, Stefano Frizzo Stefenon, Cristina Keiko Yamaguchi, Viviana Cocco Mariani, Gabriel Villarrubia Gonzalez, Leandro dos Santos Coelho

“…This paper evaluates short-term forecasting of time series with a measure of uncertainty associated with wind speeds. The proposed method considers the conformal prediction approach and, based on Shapley values, uses optimal selection of features given their importance. …”
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The Operation Strategy of a Multi-Microgrid Considering the Interaction of Different Subjects’ Interests by Siwen Wang, Hui Chen, Chunyang Gong, Yanfei Shang, Zhixin Wang

“…The microgrid is primarily concerned with achieving self-balancing between power sources, the network, loads, and storage. In decentralized multi-microgrid (MMG) access scenarios, the aggregation of distributed energy within a region enables the unified optimization of scheduling, which improves regional energy self-sufficiency while mitigating the impact and risks of distributed energy on grid operations. …”
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Recent advances in photocatalytic degradation of persistent organic pollutants: Mechanisms, challenges, and modification strategies by Pavithra Swaminaathan, A. Saravanan, P.R. Yaashikaa, A.S. Vickram

“…As it can use light energy to promote degradation, photocatalysis is a promising approach among other methods. The review explores many evolved photocatalyst materials, such as those based on nanomaterials, metal-organic frameworks (MOFs), carbon, and hybrids, highlighting their characteristics and functions in the removal of pollutants. …”
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Comprehensive Insights into Artificial Intelligence for Dental Lesion Detection: A Systematic Review by Kubra Demir, Ozlem Sokmen, Isil Karabey Aksakalli, Kubra Torenek-Agirman

“…<b>Background/Objectives:</b> The growing demand for artificial intelligence (AI) in healthcare is driven by the need for more robust and automated diagnostic systems. These methods not only provide accurate diagnoses but also promise to enhance operational efficiency and optimize resource utilization in clinical workflows. …”
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Research Progress on Dioxin Prevention and Control Technologies in the Entire Process of Domestic Waste Incineration by Yongyi MA, Qianqian LI, Bohua SUN, Jing MENG, Bin SHI, Yangzhao SUN, Guijin SU

“…This paper systematically summarizes three mechanisms of dioxin formation during the entire incineration process under high-temperature and low-temperature conditions: high-temperature homogeneous synthesis, precursor synthesis, and de novo synthesis, identifying chlorine sources, carbon sources, metals, oxygen, and temperature as key influencing factors. …”
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Monitoring Strategies in Information and Analytical Support of the Presidendcy in Times of War by Hlushchuk Yevheniia

“…The in effectiveness of the development of unified monitoring strategies is substantiated, taking into account the variability and constant changes in the dynamics of the information space associated with military operations, therefore a situational approach with a combination of appropriate methods is preferred.…”
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Advancements and trends in vehicle sound package for noise control: A comprehensive review by Yifeng Fu, Xiao Wang

“…To enhance vehicle sound package performance, both experimental and numerical methods, such as finite element analysis (FEA) and statistical energy analysis (SEA), artificial intelligence (AI)-driven optimization are employed in academic research, while the industrial development process often involves a more intricate and practical approach. …”
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FEATURES OF THE STRUCTURE OF NEW GENERATION CONCRETE WITH THE USAGE OF ARTIFICIALLY-PRODUCED MATERIALS by A. D. Tolstoy, V. S. Lesovik, A. S. Milkina

“…Therefore, the research of such problem would be always relevant according to the constant growth of requirements for the building materials and structures quality.Materials and methods. Experimental studies were conducted in the laboratories of the Department of Construction Materials, Products and Structures. …”
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Strategies for Soil Salinity Mapping Using Remote Sensing and Machine Learning in the Yellow River Delta by Junyong Zhang, Xianghe Ge, Xuehui Hou, Lijing Han, Zhuoran Zhang, Wenjie Feng, Zihan Zhou, Xiubin Luo

“…In response to the global ecological and agricultural challenges posed by coastal saline-alkali areas, this study focuses on Dongying City as a representative region, aiming to develop a high-precision soil salinity prediction mapping method that integrates multi-source remote sensing data with machine learning techniques. …”
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INFORMATION TECHNOLOGY FOR RECOGNITION OF ROAD SIGNS USING A NEURAL NETWORK by Elena Yashina, Roman Artiukh, Nikolai Рan, Andrei Zelensky

“…The subject of the study is the methods and tools for automation of recognition of road signs at the level of software implementation. …”
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