Graph-based machine learning model for weight prediction in protein–protein networks by Hajer Akid, Kirsley Chennen, Gabriel Frey, Julie Thompson, Mounir Ben Ayed, Nicolas Lachiche

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Numerical Simulation of Ambiguity Resolution in Multiple Information Streams Based on Network Machine Translation by Lei Wang, Qun Ai

“…In natural language, the phenomenon of polysemy is widespread, which makes it very difficult for machines to process natural language. Word sense disambiguation is a key issue in the field of natural language processing. …”
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The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learningZenodo by Gerardo Roa Dabike, Trevor J. Cox, Alex J. Miller, Bruno M. Fazenda, Simone Graetzer, Rebecca R. Vos, Michael A. Akeroyd, Jennifer Firth, William M. Whitmer, Scott Bannister, Alinka Greasley, Jon P. Barker

“…The data was created to be used as training data within Cadenza's second open machine learning challenge (CAD2) for the task on rebalancing classical music ensembles. …”
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Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches. by Md Symun Rabby, Md Merajul Islam, Sujit Kumar, Md Maniruzzaman, Md Al Mehedi Hasan, Yoichi Tomioka, Jungpil Shin

“…Protein-protein interaction (PPI) network analysis was performed using STRING, and the PPI network was visualized using Cytoscape. …”
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Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

“…The primary objective of this study is to produce sophisticated machine learning algorithms that can accurately predict bottomhole pressure while injecting guar cross-linked fluids into the fracture string. …”
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A Five Star Flop: The Collision of Music Industry Machinations, Genre Maintenance, and Black Britishness in 1980s Pop by Anthony Kwame Harrison

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Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers by Hengyan Zhang, Ye Zhou, Heguo Yan, Changxing Huang, Licong Yang, Yangwen Liu

“…Meanwhile, protein-protein interaction (PPI) networks were constructed using STRING to identify core genes. Feature selection methods such as LASSO, SVM-RFE and random forest algorithm were applied to localize possible therapeutic target genes. …”
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A machine learning framework for predictive electron density modelling to enhance 3D NAND flash memory performance by Dikendra Verma, Upendra Mohan Bhatt, Anurag Vidyarthi

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Identification of hub immune-related genes and construction of predictive models for systemic lupus erythematosus by bioinformatics combined with machine learning by Su Zhang, Weitao Hu, Yuchao Tang, Hongjie Lin, Xiaoqing Chen

“…The protein–protein interaction (PPI) network was constructed through the STRING database. Three machine learning algorithms were applied to DE-IRGs to screen for hub DE-IRGs. …”
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Design tool for automated crocheting of fabrics by Jan Lukas Storck, Bjarte Alexander Feldmann, Yordan Kyosev

“…The paper offers first insights into the prototype of the crochet machine and presents the approach of such a design tool implemented in Python for creating, modeling and generating the machine instructions. …”
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Automated Extraction of Geographic Locations from Natural Language Text: Implications for Process Control and Mechanism by Ashutosh Das, B. Sahithi, Pallavi Choudhury, Neelamadhab Padhy

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Integrative multi-omics analysis and machine learning reveal the unique role of ASCC3 in combination with various immune-related genes in rectal adenocarcinoma by Chuang Miao, Fei Qian

“…Prognostic models were constructed using ssGSEA analysis and various machine learning algorithms. We explored the signaling pathways regulated by ASCC3 using the CancerSEA and TCPA databases. …”
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DiGraph-Enabled Digital Twin and Label-Encoding Machine Learning for SCADA Network’s Cyber Attack Analysis in Industry 5.0 by Nabeel Al-Qirim, Anoud Bani-Hani, Munir Majdalawieh, Hussam Al Hamadi, Mohammad Kamrul Hasan

“…Since the SCADA-network-based cyber-attacking flow is not in digital-twin form, it is impossible to simulate the effects of the attack. Furthermore, the string nature of these affected components’ data makes it challenging to incorporate into machine-learning-enabled intelligence (CTI) processes. …”
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Artificial intelligence in chronic pain management: A mini review by Athira Ramesh, Amarjeet Kumar, Ajeet Kumar

“…In this mini review we have conducted literature search using the databases PubMed, Google Scholar, Medline, Ovid, PMC, and Embase. The search string included four Mesh keywords: “artificial intelligence,” “chronic pain,” “chronic pain management,” and “machine learning.” …”
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Integrative Multi-Omics Analysis Reveals Critical Molecular Networks Linking Intestinal-System Diseases to Colorectal Cancer Progression by Shiliang Ji, Haoran Hu, Ruifang Zhu, Dongkai Guo, Yujing Liu, Yang Yang, Tian Li, Chen Zou, Yiguo Jiang, Guilai Liu

“…Protein–protein interaction networks were constructed via STRING and visualized with Cytoscape to identify hub genes. …”
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Symbolic approximations to Ricci-flat metrics via extrinsic symmetries of Calabi–Yau hypersurfaces by Viktor Mirjanić, Challenger Mishra

“…Ever since Yau’s non-constructive existence proof of Ricci-flat metrics on Calabi–Yau (CY) manifolds, finding their explicit construction remains a major obstacle to development of both string theory and algebraic geometry. Recent computational approaches employ machine learning to create novel neural representations for approximating these metrics, offering high accuracy but limited interpretability. …”
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Automated and Efficient Sampling of Chemical Reaction Space by Minhyeok Lee, Umit V. Ucak, Jinyoung Jeong, Islambek Ashyrmamatov, Juyong Lee, Eunji Sim

“…Abstract Machine learning interatomic potentials (MLIPs) promise quantum‐level accuracy at classical force field speeds, but their performance hinges on the quality and diversity of training data. …”
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Consumer Behaviour: Analysing Marketing Campaigns through Recommender Systems and Statistical Techniques

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Identification of Key Mitochondrial Autophagy-Related Genes in Fetal Growth Restriction by Yao Y, Lei G, Pan G, Xiong G, Shen J

“…Protein-protein interaction (PPI) network was constructed using STRING, and key genes were selected using machine learning. …”
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Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques by Kais Abdulmawjood, Walid G. Morsi

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