Division of Multi-harmonic Responsibilities Based on DBSCAN Clustering and Interval Regression by Shilong CHEN, Tao WU, Cheng GUO, Zirui ZHANG, Jinghao SUN

“…Finally, the equation parameter and the optimal sample division scheme are obtained with the PM algorithm-based interval linear regression method, and the harmonic responsibility in the medium and long term time scope is calculated on the basis of the constructed interval harmonic responsibility division. …”
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Twinning mediated intralayer frustration governs structural degradation in layered Li-rich oxide cathode by Tingting Yang, Maolin Yang, Zhongyuan Huang, Rui Wang, Wenhai Ji, Peng-Han Lu, Tao Zeng, Zenan Li, Jun Wang, Rafal E. Dunin-Borkowski, Lei Jin, Yinguo Xiao

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An Explainable Fuzzy Framework for Assessing Preeclampsia Classification by Matías Salinas, Daira Velandia, Leondry Mayeta-Revilla, Ayleen Bertini, Marvin Querales, Fabian Pardo, Rodrigo Salas

“…<b>Methods:</b> The model integrates fuzzy decision trees with a genetic algorithm to identify a compact and relevant set of rules, optimized for both accuracy and interpretability. …”
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Impact of glucose and propionic acid on even and odd chain fatty acid profiles of oleaginous yeasts by Veronica Bonzanini, Majid Haddad Momeni, Kim Olofsson, Lisbeth Olsson, Cecilia Geijer

“…When using the OCFAs precursor propionic acid as the sole carbon source, only eight strains exhibited growth, with tolerance to propionic acid concentrations between 5 and 29 g/L. …”
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Bioproduction of Nordihydroguaiaretic and Ellagic Acid from Creosote Bush Leaves (<i>Larrea tridentata</i>) Using Solid-State Fermentation with <i>Aspergillus niger</i> GH1 by Alonso Ascacio-Valdés, Cynthia L. Barrera-Martínez, Juan A. Ascacio-Valdés, Leonardo Sepúlveda

“…Conventional extraction methods often exhibit limitations in efficiency and sustainability. …”
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Structure and Antibiotic Resistance of the Main Causative agents of Infections Associated with the Provision of Medical care by N. M. Voropaeva, U. M. Nemchenko, E. V. Grigorova, N. L. Bel'kova, N. N. Chemezova, E. D. Savilov

“…For a reasonable choice and optimization of antibacterial treatment of hospital patients, it is necessary to take into account the fact of wide circulation of hospital strains. …”
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MSTN knockout enhances the production of MYOD1-mediated steak-type cultivated meat by Kyeong-Hyeon Eom, Dayi Jeong, Jae-Yoon Choi, Gyeong-Min Gim, Soo-Young Yum, Sumin Jin, Hojae Bae, Goo Jang

“…This study aimed to enhance the productivity of cultivated meat through optimization of the cell source and organization process. …”
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Research of edge-aligned staggered double-vane traveling-wave tube at G-band by Wenbo Wang, Cunjun Ruan, Pengpeng Wang, Yaqi Zhao, Tianyi Xu

“…Results show that under the optimization of the efficiency improving methods of the TWT, a considerable power output can be realized. …”
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China's CCUS technology challenges and countermeasures under “double carbon” target by YE Xiaodong,CHEN Jun,CHEN Xi,WANG Haimei,WANG Huijun

“…These countermeasures are as follows: ①Diversified integration of different carbon capture methods to achieve cost reduction at the source based on the characteristics of different emission sources; ②Tackling multi-objective optimization techniques, coordinating and optimizing oil recovery efficiency and CO2 storage rate; ③Continuously developing new catalysts to accelerate the conversion reaction of CO2 and improve conversion efficiency; ④Fully draw on the carbon tax policies of countries such as the United States and Australia, explore fiscal and tax incentive policies suitable for China's CCUS industry, increase economic benefits, and enhance enterprise enthusiasm; ⑤Establish a series of standard specifications covering all aspects of the CCUS entire chain, guide the implementation of engineering construction, and reduce enterprise risks from a standardized perspective. …”
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Research on a PTSD Risk Assessment Model Using Multi-Modal Data Fusion by Youxi Luo, Yucui Shang, Dongfeng Zhu, Tian Zhang, Chaozhu Hu

“…Therefore, traditional single data source assessment methods are difficult to fully understand and evaluate the complexity of PTSD. …”
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Application of Machine Learning Algorithms to Predict Gas Sorption Capacity in Heterogeneous Porous Material by Tasbiha Ibad, Syed Muhammad Ibad, Haylay Tsegab, Rabeea Jaffari

“…Shale gas is a clean and effective energy source that plays a big part in the transition from high-carbon to low-carbon energy, serving as a link for the growth of low-carbon energy in the future. …”
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Learning dual context aware POI representations for geographic mapping by Quan Qin, Tinghua Ai, Shishuo Xu, Yan Zhang, Weiming Huang, Mingyi Du, Songnian Li

“…Points of Interest (POI), as the current mainstream data in urban studies, plays an important role in these methods to discover urban characteristics. Existing studies on POI representation learning focus on spatial and type information, but overlook heterogeneous semantic interaction between POIs as well as hierarchical associations among types. …”
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Actinomycete-Derived Pigments: A Path Toward Sustainable Industrial Colorants by Blanca Hey Díez, Cristiana A. V. Torres, Susana P. Gaudêncio

“…Scale-up of production and yield optimization challenges have been circumvented with the aid of biotechnology advancements, including genetic engineering and innovative fermentation and extraction methods, which have enhanced these bio-pigments’ viability and cost-competitiveness. …”
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DNA State Influences the Uptake and Persistence of Environmental DNA by Marine Sponge Natural Samplers by Rosalie Dowell, Jamie Craggs, Catherine Head, Chris Yesson, Emma Ransome

“…ABSTRACT Marine sponges as natural samplers of environmental DNA (eDNA) are receiving growing attention as an untapped source of biodiversity data. However, little is known about the state of DNA (e.g., cellular or extracellular) that is captured by these samples and how this compares to conventional aquatic eDNA samples. …”
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Medium- Long-Term Runoff Forecasting Using Interpretable Hybrid Machine Learning Model for Data-Scarce Regions by YOU Yu-jun, BAI Yun-gang, LU Zhen-lin, ZHANG Jiang-hui, CAO Biao, LI Wen-zhong, YU Qi-ying

“…An Improved Particle Swarm Optimization (IPSO) algorithm was used to optimize this model, forming the IPSO-CNN-BiGRU-Attention hybrid model. …”
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Dark-field X-ray microscopy with structured illumination for three-dimensional imaging by Doğa Gürsoy, Kaan Alp Yay, Elliot Kisiel, Michael Wojcik, Dina Sheyfer, Arndt Last, Matthew Highland, Ian Randal Fisher, Stephan Hruszkewycz, Zahir Islam

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Benchmarking <i>K</i>_DP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations by M. Aldana, M. Aldana, S. Pulkkinen, A. von Lerber, M. R. Kumjian, D. Moisseev, D. Moisseev

“…Most of these methods showed a significant reduction in the estimation errors after the optimization, with respect to the default settings. …”
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Application of machine learning in acute upper gastrointestinal bleeding: bibliometric analysis by Qun Li, Guolin Chen, Qiongjie Li, Dongna Guo

“…Through a thorough analysis of relevant literature, we uncover the research trends and collaboration patterns in this field, which can provide valuable references and insights for further in-depth exploration in the same field.MethodsUsing the Web of Science (WOS) as the data source, this study explores academic development in a specific field from December 2013 to December 2023. …”
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Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development by Tong Wu, Qingjie Liu, Yueyue Wang, Ying Xu, Jiale Shi, Yu Yao, Qiang Chen, Jianxun Liang, Shu Tang

“…Based on the summary of the existing results, this paper proposes future development directions including real-time prediction and closed-loop optimization, multi-source data fusion, physical consistency modeling and interpretability enhancement, model migration, and online updating capability. …”
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Pseudo-class distribution guided multi-view unsupervised domain adaptation for hyperspectral image classification by Jingpeng Gao, Xiangyu Ji, Geng Chen, Yuhang Huang, Fang Ye

“…Unsupervised domain adaptation (UDA) has made great progress in cross-scene hyperspectral image (HSI) classification. Existing methods focus on aligning the distribution of source domain (SD) and target domain (TD). …”
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