Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…To address this issue, this study presents a novel data-physics fusion framework using the NASA turbine engine public dataset as the operational data for the study. First, a two-stage feature engineering strategy is designed: (1) Spearman correlation analysis identifies degradation-sensitive physical parameters. (2) Principal component analysis reduces dimensionality while preserving degraded trajectory patterns. …”
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Leveraging multi-source data and teleconnection indices for enhanced runoff prediction using coupled deep learning models by Jintao Li, Ping Ai, Chuansheng Xiong, Yanhong Song

“…Abstract Accurate medium- to long-term runoff forecasting is crucial for flood control, drought resilience, water resources development, and ecological improvement. Traditional statistical methods struggle to utilize multifaceted variable information, leading to lower prediction accuracy. …”
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The Evolution of the Idiolect over the Lifetime: A Quantitative and Qualitative Study of French 19th Century Literature by Olga Seminck, Philippe Gambette, Dominique Legallois, Thierry Poibeau

“…Using the Corpus for Idiolectal Research (CIDRE) that contains the dated works of 11 prolific 19th century French fiction writers, we propose new methods to identify, quantify and describe the grammatical-stylistic changes that take place using lexico-morphosyntactic patterns, also called motifs. To examine the strength of the chronological signal of change, we developed a method to calculate if a distance matrix of literary works contains a stronger chronological signal than expected by chance. …”
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Monte Carlo method for determination and analysis damage to the power system by D. E. Marmysh, U. I. Babaed

“…Based on indicators of the stress state, the algorithms for numerically assessing the dangerous volume and integral damage using the Monte Carlo methods, have been developed. Based on the pattern of distribution of stress fields, the technique of determining the area for randomly generating integration nodes is described. …”
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Interactive online learning method for students based on artificial intelligence by Cizhang Li, Wenfen Yin

“…The proposed DMO-GRU framework leverages the optimization capability of DMO for feature selection and parameter tuning, while GRU effectively captures temporal learning patterns in student data. …”
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Analyzing and Rewarding Credit Card Spending Habits in India: a Machine Learning Approach by Renuka Agrawal, Aryan Khanna, Safa Hamdare

“…However, there is a gap in developing a tailored system that optimizes sales and reward structures for these companies. …”
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Microwave synthesized and laser activated hyaluronic/polyacrylate/basil seed cloud seeding glaciogenic/hygroscopic nanocomposite by Sholeh Masoomi, Mohammad Mahdi Doroodmand, Fazlolah Eshghi

“…A new approach involving polarized CO2 laser ablation was developed to enhance the nanocomposite’s active surface area. …”
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Enhanced automated art curation using supervised modified CNN for art style classification by Weiwei Li

“…To address these challenges, we developed a Modified CNN model capable of distinguishing art styles and movements using features such as color patterns, textures, and compositions. …”
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A corpus-based assessment of vocabulary in interpreting textbooks by Dandan Sheng, Xin Li

“…Abstract Undergraduate interpreting training programs rely heavily on high-quality textbooks to develop student interpreters’ interpreting competence. …”
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Optimizing Personalized and Context-Aware Recommendations in Pervasive Computing Environments by A. C. Kaladevi, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi

“…Though various recommendation techniques exist, there is a need to develop a unique technique for capturing latent factors and patterns from sparse and high-dimensional data in pervasive environments, specifically for optimizing dynamic recommendations. …”
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Analysis of emergency air medical services over 9 years in the Penghu archipelago of Taiwan by Meng-Yu Wu, Chia-Jung Li, Yueh-Tseng Hou, Yu-Long Chen, Fung-Wei Chang, Giou-Teng Yiang

“…This article analyzes dynamic changes in the disease patterns of transferred patients in both EAMS groups, providing a strong foundation for developing local medical systems.…”
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Genome-wide fine-scale recombination rate variation in Drosophila melanogaster. by Andrew H Chan, Paul A Jenkins, Yun S Song

“…In this paper, a new computational method is developed to address this challenge. Through an extensive simulation study, it is demonstrated that the method allows more accurate inference, and exhibits greater robustness to the effects of natural selection and noise, compared to a well-used previous method developed for studying fine-scale recombination rate variation in the human genome. …”
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Community-based conservation with formal protection provides large collateral benefits to Amazonian migratory waterbirds. by João Vitor Campos-Silva, Carlos A Peres, Joseph E Hawes, Mark I Abrahams, Paulo C M Andrade, Lisa Davenport

“…Conservation strategies to reverse these trends are imperative, especially in tropical developing countries, which almost invariably allocate insufficient levels of investment for environmental protection. …”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…Some areas of applications of ML algorithms include cluster analysis, pattern recognition, image processing, natural language processing, and medical diagnostics. …”
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Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI by Yanan Li, Jingfa Yao, Wenhui Yang, Zhao Wei, Peng Luan, Guifa Teng

“…This study introduces a non-destructive, quantitative method using low-field MRI to assess moisture mobility and content distribution in cherry tomatoes. This study developed an advanced 3D non-local mean denoising model to enhance tissue feature analysis and applied an optimized TransUNet model for structural segmentation, obtaining multi-echo data from six tissue types. …”
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Induction of more severe central sensitization in a medication overuse headache model mice through active ingestion of rizatriptan by Zhenjie Ma, Chenhao Li, Wenhao Bai, Wei Xie, Mingjie Zhang, Han Xiao, Cancan Chen, Yang Li, Wenwen Zhang, Deqi Zhai, Yingyuan Liu, Dengfa Zhao, Wenjing Tang, Zhao Dong, Ruozhuo Liu, Shengyuan Yu

“…Current animal models that predominantly employ passive drug administration fail to recapitulate the hallmark feature of voluntary medication-seeking behaviour observed clinically. …”
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Early signs of strong El Niño–Southern Oscillation episodes by Wenxiu Zhong, Arnold Sullivan, Gian Luca Eusebi Borzelli, Ziguang Li

“…Additionally, we find that the spatial standard deviations of the sea surface temperature anomaly in Niño-3 and Niño-4 region, rapidly decrease in the first half of ENSO developing year. This feature is fundamentally distinct from that in neutral years, suggesting that the cycle of ENSO persistence goes beyond the SPB and sea surface temperature anomalies in those two Niño regions are the most predictable.…”
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Metastatic uterine histiocytic sarcoma: A rare presentation as solitary paraspinal mass by Aruba Nawaz Khattak, FCPS, Aymen Shahab, FCPS, Fatima Israr, MBBS, Hira Yaqub, MBBS, Zulfiqar Sheikh, MBBS, Kashif Siddique, FCPS, FRCR

“…On imaging, it has nonspecific features and a broad range of differentials, depending on regional involvement. …”
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Dip‐Pen Nanolithography‐Based Fabrication of Meta‐Chemical Surface for Heavy Metal Detection: Role of Poly‐Methyl Methacrylate in Sensor Sensitivity by Rahma Okbi, Mohammed Alkrenawi, Krishna Kumar Yadav, Dror Shamir, Haya Kornweitz, Yael Peled, Moshe Zohar, Ariela Burg

“…A meta‐chemical surface is being patterned via dip‐pen nanolithography (DPN) for novel electrochemical heavy metal sensors. …”
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Anaesthetic profile of thymol and menthol in zebrafish larvae model by Raquel S.F. Vieira, Diana Sousa, Luís M. Félix, Carlos A.S. Venâncio

“…Thus, further investigation of its anaesthetic properties seems imperative, and the use of the zebrafish in the early stages of its development is an appropriate model due to its advantages. …”
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