Integrative machine learning and molecular simulation approaches identify GSK3β inhibitors for neurodegenerative disease therapy by Hassan H. Alhassan

“…Among all models, the Random Forest (RF) algorithm had the best prediction accuracy, with a value of 0.6832 on the test set and 0.7432 on the training set, and was employed to screen the target library of 11,032 phytochemicals. …”
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Identification of hub genes in myocardial infarction by bioinformatics and machine learning: insights into inflammation and immune regulation by Juan Yang, Xiang Li, Li Ma, Jun Zhang

“…Their strong association with MI pathogenesis highlights their potential as diagnostic markers and therapeutic targets, which may lead to new clinical applications for MI management.…”
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Identification and verification of XDH genes in ROS induced oxidative stress response of osteoarthritis based on bioinformatics analysis by Chengze Qiu, Zhiyong Zhang, Haocheng Wang, Na Liu, Ruixin Li, Zhiheng Wei, Benjie Wang, Nan Zhang

“…An artificial neural network model was constructed for the hub genes, and immune analysis was conducted using the ssGSEA algorithm. The expression of genes in OA and normal chondrocytes was verified through HE staining, immunohistochemistry, ROS detection, qRT-PCR and Western blotting test. …”
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Novel and Effective Blood‐Based miRNA Diagnostic Panel for Gastric Cancer: A Pilot Study in a Japanese Population by Tatsuro Murano, Ka Yan Chung, Yew Chung Tang, Yuki Kano, Ken Takeuchi, Naoya Sakamoto, Takeshi Kuwata, Yuan Gao, Jit Kong Cheong, He Cheng, Lihan Zhou, Tomonori Yano

“…Its combination with existing serum markers may contribute to efficient risk stratification to detect GC.…”
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Informatics-driven unsupervised learning of comorbidity clusters for COVID-19 reinfection risk: A finite mixture modeling approach by Grant B. Morgan, Andreas Stamatis, Chelsea C. Yager, Ali Boolani

“…Methods: We analyzed 42,974 patient records containing COVID-19 diagnoses using an machine learning classification algorithm to identify comorbidity profiles. Of nearly 850 recorded conditions, 29 were retained if they occurred in at least 5 % of the sample. …”
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A Novel Smart Molecular Fuzzy Decision Support System for Solid-State Battery Investments in Grid-Level Renewable Energy Storage by Gang Kou, Hasan Dincer, Serhat Yuksel, Edanur Ergun, Serkan Eti

“…Investors’ failure to focus on the most critical factors may cause businesses to fail to use their financial and human resources effectively. …”
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An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data by Sameer Nooh, Mahmoud Ragab, Rania Aboalela, Abdullah AL-Malaise AL-Ghamdi, Omar A. Abdulkader, Ghadah Alghamdi

“…Furthermore, the binary olympiad optimization algorithm (BOOA)-based feature selection is utilized to extract the most informative features, reducing the data dimensionality. …”
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Antifungal Metabolites from High-Altitude Soil Actinomycetes Isolated from Nepal by Sagar Aryal, F.P. Jake Haeckl, Rameshwar Adhikari, Balmukunda Regmi, Dev Raj Joshi

“…The LC-MS data were processed using the T-ReX 3D algorithm in MetaboScape 2022b, and GNPS spectral library was used to annotate the features. …”
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Machine Learning Models Informed by Connected Mixture Components for Short- and Medium-Term Time Series Forecasting by Andrey K. Gorshenin, Anton L. Vilyaev

“…These components are formed using probability mixture models and a special algorithm for merging parameters in the sliding window mode. …”
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Comparative Quantitative and Discriminant Analysis of Wheat Flour with Different Levels of Chemical Azodicarbonamide Using NIR Spectroscopy and Hyperspectral Imaging by Hongju He, Yuling Wang, Shengqi Jiang, Jie Zhang, Jicai Bi, Hong Qiao, Leiqing Pan, Xingqi Ou

“…In summary, NIR technology may be sufficient if visualization is not required.…”
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A Multi-Stage Approach for External Trucks and Yard Cranes Scheduling with CO₂ Emissions Considerations in Container Terminals by Ahmed Talaat, Mohamed Gheith, Amr Eltawil

“…Specifically, it employs a K-means clustering algorithm to reduce the number of necessary truck trips for container handling. …”
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Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum by Ramneet Kaur, Mudita Uppal, Deepali Gupta, Sapna Juneja, Syed Yasser Arafat, Junaid Rashid, Jungeun Kim, Roobaea Alroobaea

“…In this work, GRU qualifies as the best algorithm for developing a cryptocurrency price prediction model. …”
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Classification of Real-World Objects Using Supervised ML-Assisted Polarimetry: Cost/Benefit Analysis by Rui M. S. Pereira, Filipe Oliveira, Nazar Romanyshyn, Irene Estevez, Joel Borges, Stephane Clain, Mikhail I. Vasilevskiy

“…To this end, we look for an algorithm using less input parameters without great loss of the quality of classification. …”
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Extrahepatic portal vein obstruction in children of the first year of life: diagnostic and treatment approaches by O.S. Godik, D.S. Diehtiarova, O.I. Kvilinska

“…Extrahepatic portal vein obstruction (EHPVO) is an important cause of symptomatic portal hypertension (PH) in pediatric population. PH may lead to serious complications including variceal bleeding and hypersplenism. …”
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Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus by Han Lv, Jinduo Liu, Qian Chen, Zuozhen Zhang, Zhaodi Wang, Shusheng Gong, Junzhong Ji, Zhenchang Wang

“…The altered pattern of functional information orchestration, represented by a higher degree of hypervigilance-driven attention and enhanced multisensory integration, may explain poor clinical outcomes. The activated gating function of the thalamus is one of the key factors for a good prognosis in tinnitus treatment. …”
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Predicting ESWL success for ureteral stones: a radiomics-based machine learning approach by Ran Yang, Dan Zhao, Chunxue Ye, Ming Hu, Xiao Qi, Zhichao Li

“…Radiomic features were selected using the least absolute shrinkage and selection operator (LASSO) algorithm to calculate a radiomic score (Rad-score). …”
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Effects of chemosynthetic choline plasmalogens on gonadotropin secretion from bovine gonadotrophs by Hiroya KADOKAWA, Yvan Bienvenu NIYONZIMA, Takatsugu HIROKAWA, Ryunosuke YOSHINO

“…Ethanolamine plasmalogens (EPls) and choline plasmalogens (CPls), unique glycerophospholipids may play important roles in milk production and reproduction in postpartum dairy cows. …”
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Predicting emotional responses in interactive art using Random Forests: a model grounded in enactive aesthetics by Xiaowei Chen, Xiaowei Chen, Zainuddin Ibrahim, Azlan Abdul Aziz

“…However, these emotional responses’ inherently dynamic, subjective, and often pre-reflective nature poses significant challenges to their systematic prediction and computational modeling.MethodsTo address these challenges, the present study introduces an interpretable machine learning framework grounded in the Random Forest (RF) algorithm, which provides a balanced trade-off between predictive performance and model transparency, thereby aligning with the needs of theory-driven emotion research. …”
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Spectral Analysis of Cough Sounds in Patients with Chronic Bronchitis by Andrey V. Budnevsky, Sergey N. Avdeev, Evgeniy S. Ovsyannikov, Anastasia V. Belyakova

“…The cough sounds were recorded using the spectral tussophonobarography method based on the Fast Fourier Transform Algorithm, allowing the distribution of sound energy by frequency. …”
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Microsatellite Markers Determine the Genetic Structure and Diversity of Landraces of Quinoa from Ayacucho, Peru by Germán De la Cruz, Carla L. Saldaña, Francisco Menéndez, Edgar Neyra, Carlos I. Arbizu

“…Principal coordinate analysis, similar to a dendrogram using the UPGMA clustering algorithm, showed that quinoa from Ayacucho is grouped into three clusters without a clear geographic component. …”
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