Local large language model‐assisted literature mining for on‐surface reactions by Juan Xiang, Yizhang Li, Xinyi Zhang, Yu He, Qiang Sun

“…However, deploying LLMs necessitates substantial computational resources, and security concerns with online LLMs pose a challenge to their wider applications. Herein, we introduce a method for extracting scientific data from unstructured texts using a local LLM, exemplifying its applications to scientific literatures on the topic of on‐surface reactions. …”
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Chemoreactomic study of fonturacetam effects: molecular mechanisms of influence on adipose tissue metabolism by O. A. Gromova, I. Yu. Torshin

“…Chemoreactomic, pharmacoinformatic and chemoneurocytological methods of molecule properties analyzis are based on chemoreactomic methodology – the latest direction in the application of machine learning systems in the field of postgenomic pharmacology. …”
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Study the Relationship between the University Student and Teacher using the Principal Component Analysis and Genetic Algorithms by Sahar Mahmood

“…Thus, it will be illustrious that this research will fall into a concept Data Mining, and is also abbreviated, and then it is realized using genetic algorithms procedure, in latest version MATLAB 2019B, Application of Genetic Algorithms using simulation software with latest release MATLAB 2019, using the Multiple linear regression equation method. …”
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Prediction of Metastasis in Paragangliomas and Pheochromocytomas Using Machine Learning Models: Explainability Challenges by Carmen García-Barceló, David Gil, David Tomás, David Bernabeu

“…Our methodology involves a comprehensive preprocessing phase to prepare the data, followed by the application of classification algorithms. …”
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A Common Language of Software Evolution in Repositories (CLOSER) by Jordan Garrity, David Cutting

“…To address this limitation, a domain-specific language (DSL), the Common Language of Software Evolution in Repositories (CLOSER), was defined that abstracted away from specific implementations while isomorphically mapping to the data model of all major VCS formats. Using CLOSER directly as a data model or as an intermediate stage in a conversion analysis approach could make use of all major repositories rather than be limited to a single format. …”
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An overview of the high-resolution global LAnd surface satellite (Hi-GLASS) products suite by Shunlin Liang, Tao He, Jie Cheng, Bo Jiang, Huaan Jin, Ainong Li, Siwei Li, Liangyun Liu, Xiaobang Liu, Han Ma, Dan-Xia Song, Lin Sun, Yunjun Yao, Wenping Yuan, Yufang Zhang, Feng Tian, Leshi Li

“…There is an increasing need for high-resolution products to cater to different applications; however, very few such products exist. …”
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Telemedicine as a tool for the digitization of healthcare by D.O. Dziuba, O.V. Khavryuchenko, O.E. Domoratskyi, S.R. Maruniak, A.P. Mazur, O.V. Sharikadze, D.V. Viter

“…It was found that existing barriers, such as inadequate funding, legislative constraints, and data security issues, hinder the development of telemedicine. …”
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Quantum Computing Approach in K-Medoids Method for AIDS Disease Prediction Using Manhattan Distance by Mochamad Wahyudi, Imeldi Sintagel br Sianipar, Lise Pujiastuti, Solikhun Solikhun, Deny Kurniawan

“…This study uses the K-Medoids method with a quantum computing approach to predict AIDS based on clinical and demographic data. K-Medoids is chosen to group large amounts of data using a clustering technique that determines the center point (medoid) of each cluster, minimizing the overall distance between data in a cluster. …”
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High resolution weld semantic defect detection algorithm based on integrated double U structure by Xiaoyan Li, Yi Wei, Zhigang Lv, Peng Wang, Liangliang Li, Mengyu Sun, Chu Wang

“…Then, a multi-image hybrid stitching technology was proposed to reconstruct the long weld into a standard size of 1500 × 1500, which not only expanded the WSCR data set, but also effectively improved the data imbalance problem. …”
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Development of the Real‐Time 30‐s‐Update Big Data Assimilation System for Convective Rainfall Prediction With a Phased Array Weather Radar: Description and Preliminary Evaluation... by T. Honda, A. Amemiya, S. Otsuka, G.‐Y. Lien, J. Taylor, Y. Maejima, S. Nishizawa, T. Yamaura, K. Sueki, H. Tomita, S. Satoh, Y. Ishikawa, T. Miyoshi

“…A complete real‐time workflow including domain nesting and observational data transfer is constructed. A real‐time test in July and August 2020 showed that the system is fast enough for a real‐time application of 30‐s forecast‐analysis cycles and 30‐min prediction. …”
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Models for analyzing the complexity of English words in the text on the scale from A1 to C2 by М. Бєліков, Т. Ліхоузова, Ю. Олійник

“…An application in the Python programming language is proposed, which receives a sample of data from the created storage, displays them graphically, performs intellectual analysis, trains and compares models according to accuracy, precision, recall and f1-score metrics. …”
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Analysis and research of industrial value chain optimization model based on energy internet environment by Shaoyang Yin, Xiaohua Yang, Qi Xu, Guangjie Liu

“…Research data show that the application effect of Energy Internet in the industrial value chain is remarkable. …”
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Machine learning-based model for behavioural analysis in rodents applied to the forced swim test by Andrea Della Valle, Sara De Carlo, Gregorio Sonsini, Sebastiano Pilati, Andrea Perali, Massimo Ubaldi, Roberto Ciccocioppo

“…This approach represents a significant advancement in preclinical research, providing a more accurate and efficient method to analyze forced swimming data in rodents. We anticipate that in addition to the FST, our model and approach could be extended for application to various behavioural tests in laboratory animals, by training with specific datasets.…”
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An analysis of ridesharing trip time using advanced text mining techniques by Wenxiang Xu, Anae Sobhani, Ting Fu, Amir Mahdi Khabooshani, Aminreza Vazirinasab, Sina Shokoohyar, Ahmad Sobhani, Behnaz Raouf

“…However, the current research faces limitations in terms of data quantity and analysis methods, preventing the extraction of key information. …”
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Reservoir permeability prediction based artificial intelligence techniques by Hayder Mahdi Ghargan, Omar Al-Fatlawi, Yasir Bashir

“…This paper explores the application of neural networks to predict permeability in oil reservoirs, underscoring their growing importance in addressing traditional prediction challenges. …”
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Exploring medicationpatterns of Traditional Chinese Medicine compound patents in the treatment of thyroid cancer based on the National Patent Database by WU Yanke, GE Yaxue, QIAN Jiahui, QI Shuo, LI Xinyi, MA Wenyuan, SI Xinying, ZHOU Xun, SHANG Jianwei, DING Zhiguo

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Predicting molecular mechanisms of hereditary diseases by using their tissue‐selective manifestation by Eyal Simonovsky, Moran Sharon, Maya Ziv, Omry Mauer, Idan Hekselman, Juman Jubran, Ekaterina Vinogradov, Chanan M Argov, Omer Basha, Lior Kerber, Yuval Yogev, Ayellet V Segrè, Hae Kyung Im, GTEx Consortium, Ohad Birk, Lior Rokach, Esti Yeger‐Lotem

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Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy by Kimji N. Pellano, Inga Strumke, Daniel Groos, Lars Adde, Espen F. Alexander Ihlen

“…This paper tests the reliability and applicability of Explainable AI (XAI) methods using a deep learning method that predicts CP by analyzing skeletal data extracted from video recordings of infant movements. …”
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Multivariate analysis of water quality of Sacramento-San Joaquin Delta by Rahul Kumar, Prachi Pandey, Aditya Pandey, Ujjwal Kumar, Vikrant Singh, Patricia Gilbert, Lydia Kenison, Jeffrey Caudill, Vijay P. Singh, Pramod K. Pandey

“…Water quality monitoring is used to characterize physical and chemical characteristics, and data driven approaches are often employed for evaluating water quality. …”
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Cancer Risk Reduction by Dietary Guideline Adherence: A Prioritization Approach with a Web App by Ruidong Zhang, Pricivel Carrera, Odile Elias, Tobias Norajitra, Angela Goncalves, Klaus Maier-Hein

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