Predicting tennis match outcomes mid-game using machine learning on psychological and physical data by Boyuan Li, Zihui Deng, Gaurav Gupta, Jinger Li, Yixuan Miao

“…We first obtained weights through information entropy and defined psychological momentum, and then 3 best classifiers, random forest, CatBoost, and Logistic Regression, were detected to assess the features. Additionally, we implemented a soft voting ensemble method integrating the Random Forest and CatBoost classifiers. …”
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Super-Resolution of Medical Images Using Real ESRGAN by Priyanka Nandal, Sudesh Pahal, Ashish Khanna, Placido Rogerio Pinheiro

“…Rich details in an image are constantly vital for medical image analysis to detect a broad extent of medical ailments. …”
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TDV-optimization: A novel numerical method for phytosociological tabulation by Tiago Monteiro-Henriques

“…I demonstrate TDV-optimization using both an artificial and a well-known real-world data set. Key features of this method include its ability to identify patterns very closely resembling manual phytosociological tabulation and to detect reticulate patterns. …”
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Abnormal insula network characteristics in panic disorder by Linlin You, Wenhao Jiang, Taipeng Sun, Yue Zhou, Gang Chen, Wei Xu, Chenguang Jiang, Yingying Yue, Suzhen Chen, Ying Chen, Dan Wang, Yonggui Yuan

“…Lower connections within the sensorimotor network (SMN) and SMN-occipital network (OCN) were detected (p < 0.05). Various decreased global and local network features were found in PD (p < 0.05). …”
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COMORBIDITY IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE: A ROLE OF CARDIOVASCULAR DISORDERS by N. A. Karoli, A. P. Rebrov

“…CIIS index can help to detect previous myocardial infarction in COPD patients.…”
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Morphological markers of secretory activity in prostatic adenocarcinoma by Janković-Veličković Ljubinka, Katić Vuka, Ignjatović Ivan

“…The association of these morphological features with neutral and acidic mucins secretion was statisticaly significant (p &lt; 0.0001). …”
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The protein and volatile components of trail mucus in the Common Garden Snail, Cornu aspersum. by Kaylene R Ballard, Anne H Klein, Richard A Hayes, Tianfang Wang, Scott F Cummins

“…Of the mucus proteins, 22 contain features consistent with secreted proteins, including a perlucin-like protein. …”
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Bearing Early Fault Diagnosis Based on an Improved Multiscale Permutation Entropy and SVM by Qunyan Jiang, Juying Dai, Faming Shao, Shengli Song, Fanjie Meng

“…In the early stage of the fault, if it can be found out in time and taken reasonable prevention and elimination measures, we can avoid serious losses and safety accidents. Therefore, the feature extraction and analysis of early weak fault has important practical significance. …”
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Assessment of the Symmetry and Deformation of a Submarine Hull Using the PCSE Method by Dąbrowski Paweł, Marchel Łukasz, Kiciński Radosław, Lindenbergh Roderik

“…The advantage of the proposed approach is the high-resolution deformation analysis that can be conducted in the case of both the availability and a lack of technical documentation on the submarine hull. …”
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Species composition, distribution, host‐specificity, morphological and genetic characteristics of bat flies (Diptera, Nycteribiidae) in Belarus by A. I. Larchanka, U. V. Gorobeyko, E. V. Makovetskaya, P. S. Kiryanov

“…The hidden genetic diversity and identified morphological features of species of the genus Nycteribia require further study, including taxonomic revision based on comprehensive morphological and genetic analysis.…”
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Enhancing Stock Portfolio Selection with Trapezoidal Bipolar Fuzzy VIKOR Technique with Boruta-GA Hybrid Optimization Model: A Multicriteria Decision-Making Approach by Sunil Kumar Sharma

“…The Boruta-GA approach combines the advantages of the Genetic Algorithm (GA) and Boruta Optimization Algorithm (BOA) methods, implementing the comprehensive feature selection capability of Boruta to detect all relevant features and harnessing the strength of GA to bring about improvement within a wide range of datasets. …”
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Neurofibromatosis type 2 misdiagnosed as amblyopia—a case report and literature review by Qian Li, Guiqin Liu

“…A genetic heterozygous mutation was detected, with no family history of the condition. …”
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3q29 microdeletion syndrome associated with developmental delay and pulmonary stenosis: a case report by Duygu Kaba, Zerrin Yılmaz Çelik

“… Background. 3q29 microdeletion syndrome (OMIM 609425), first described in 2005, is a rare copy number variation (CNV), accompanied by various neurodevelopmental and psychiatric problems. Phenotypic features of the syndrome have not been fully characterized due to the new definition and rarity. …”
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Does salivary microbiome reflect the functional activity profile of oral microbiota? by Elizaveta S. Klimenko, Ilya A. Igumnov, Daria P. Markova, Natalia L. Belkova, Larisa V. Suturina

“…It was proven that bacteria detected in saliva could be the indicators of disease and be useful for diagnosis, monitoring, and overall assessment of the patient health. …”
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Down syndrome with congenital hydrocephalus: case report Síndrome de Down associada a hidrocefalia congênita: relato de caso by Cassiano Mateus Forcelini, Adroaldo Baseggio Mallmann, Paulo Sérgio Crusius, Cláudio Albano Seibert, Marcelo Ughini Crusius, Denise Isabel Zandoná, Charles Carazzo, Cassiano Ughini Crusius, Eduardo Goellner, Jean Ragnini, Luciano Bambini Manzato, Gustavo Winkelmann, Aline Vieira Lima, Manfred Georg Bauermann

“…Although usually presenting dysmorphic features and organ malformations, it is rarely associated with congenital hydrocephalus. …”
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A Novel Framework for Quantum-Enhanced Federated Learning with Edge Computing for Advanced Pain Assessment Using ECG Signals via Continuous Wavelet Transform Images by Madankumar Balasubramani, Monisha Srinivasan, Wei-Horng Jean, Shou-Zen Fan, Jiann-Shing Shieh

“…The cornerstone of our system is a Quantum Convolutional Hybrid Neural Network (QCHNN) that harnesses quantum entanglement properties to enhance feature detection and classification robustness. This quantum-enhanced approach is seamlessly integrated into a federated learning framework, allowing distributed training across multiple healthcare facilities while preserving patient privacy through secure aggregation protocols. …”
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How machine learning on real world clinical data improves adverse event recording for endoscopy by Stefan Wittlinger, Isabella C. Wiest, Mahboubeh Jannesari Ladani, Jakob Nikolas Kather, Matthias P. Ebert, Fabian Siegel, Sebastian Belle

“…Using a random forest classifier detecting adverse events perforation, bleeding, and readmission, we analysed 2490 inpatient cases, achieving significant improvements over baseline prediction accuracy. …”
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Rapid and Accurate Measurement of Major Soybean Components Using Near-Infrared Spectroscopy by Chenxiao Li, Jiatong Yu, Sheng Wang, Qinglong Zhao, Qian Song, Yanlei Xu

“…Comparative analysis revealed that the RF model consistently outperformed the others across most combinations. …”
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Biomechanical and clinical differences in muscle tone, stiffness, range of motion, and pain perception in children with cerebral palsy: a cross-sectional study by Ramón González-Matilla, Ramón González-Matilla, Ramón González-Matilla, Vanesa Abuín-Porras, Isabel Mínguez-Esteban, Alberto M. Heredia-Rizo, Alberto M. Heredia-Rizo, Alberto M. Heredia-Rizo

“…In participants with CP, the Pearson product-moment correlation coefficient analysis was used to explore possible associations between clinical features and muscle tone and stiffness.ResultsChildren with CP exhibited reduced ROM, with a significant group effect for hip flexion (P &lt; 0.001; η2 = 0.843), knee extension (P &lt; 0.001; η2 = 0.355), and ankle flexion (P &lt; 0.001; η2 = 0.959) and higher pain perception during the SLR test (P &lt; 0.001; η2 = 0.831), compared to controls. …”
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Machine learning applications to classify and monitor medication adherence in patients with type 2 diabetes in Ethiopia by Ewunate Assaye Kassaw, Ewunate Assaye Kassaw, Ashenafi Kibret Sendekie, Ashenafi Kibret Sendekie, Bekele Mulat Enyew, Biruk Beletew Abate, Biruk Beletew Abate

“…The best-performing model was subsequently deployed for further analysis.ResultsOut of 422 enrolled patients, 403 data samples were collected, with 11 features extracted from each respondent. …”
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