Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…The proposed hybrid model integrates LSTM to identify temporal features of players’ motion and CNN to recognize spatial patterns across the court. …”
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Rapid change in Chernozem properties during their Holocene evolution: a case study of paleosols buried under kurgans in the pre-Ural steppe, Russia by Olga Khokhlova

“…An extensive chronosequence of Chernozem-type soils developed on loamy sands was studied in the pre-Ural steppe, Russia. …”
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Nutritional Assessment of Patients with Type-2 Diabetes in a Tertiary Level Hospital in a Low-and Middle-income Country by Rama Subba, Asmita Luitel, Rinku Joshi, Bhupal Baniya

“…This study was carried out to understand the dietary patterns of diabetic patients along with other factors including compliance and clinical features so that effective interventions can be taken for proper management of disease. …”
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V-STAR: A Cloud-Based Tool for Satellite Detection and Mapping of Volcanic Thermal Anomalies by Simona Cariello, Arianna Beatrice Malaguti, Claudia Corradino, Ciro Del Negro

“…Through its intuitive interface, V-STAR provides a comprehensive visualization of key volcanic features. The resulting analyses reveal hidden patterns in thermal data, contributing to improved disaster risk reduction strategies associated with volcanic hazards.…”
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Comparative Proteomic and Phosphoproteomic Analyses Reveal Molecular Signatures of Myocardial Infarction and Transverse Aortic Constriction in Aged Mouse Models by Fang Lin, Yue Ding, Xiaoting Liang

“…Understanding the molecular mechanisms underlying hypertension and CHD in aged populations is crucial for developing targeted therapies and improving clinical outcomes. …”
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Short-Term Energy Consumption Forecasting Analysis Using Different Optimization and Activation Functions with Deep Learning Models by Mehmet Tahir Ucar, Asim Kaygusuz

“…Regression methods, machine learning, and deep learning methods are used to learn different patterns from data and develop a consumption prediction model. …”
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Two Novel Multidimensional Data Analysis Approaches Using InSAR Products for Landslide Prone Areas by Hamit Beran Gunce, Bekir Taner San

“…Overall, the integration of InSAR with statistical and multidimensional analysis significantly enhances the detection and interpretation of ground deformation patterns in landslide-prone areas.…”
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Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic, and regional statistica... by Alexey Unagaev, Irina Korotkova, Natalia Efremova

“…Currently, methods for mapping agricultural crops have been predominantly developed for a number of the most important and popular crops. …”
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BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices by Emre Şafak, İbrahim Alper Doğru, Necaattin Barışçı, İsmail Atacak

“…Traditional malware detection studies require significant human intervention and resource consumption to analyze all malware files. Moreover, malware developers have developed polymorphism and code obfuscation techniques to evade traditional signature-based detection approaches used by antivirus companies. …”
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Rainfall-induced Landslide Susceptibility Prediction Considering Spatial Heterogeneity by ZHANG Xingfu, JIANG Yuanjun, ABI Erdi

“…Inputs such as terrain features, soil characteristics, vegetation indices, and rainfall patterns were utilized to train and evaluate the models. …”
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Autofluorescence Imaging of Parathyroid and Thyroid Under Visible and Near-IR Light Excitation by Zhenguo Wu, Sam M. Wiseman, Haishan Zeng

“…Heterogeneous fluorescence patterns were observed in most of the parathyroid adenoma cases across all the excitation wavelengths.…”
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Sedimentary Characteristics and Petroleum Geological Significance of the Middle–Upper Triassic Successions in the Wushi Area, Western Kuqa Depression, Tarim Basin by Yahui Fan, Mingyi Hu, Qingjie Deng, Quansheng Cai

“…This study focuses on the Wushi Sag, systematically analyzing the sedimentary facies types, the evolution of sedimentary systems, and the distribution patterns of the Triassic Kelamayi and Huangshanjie formations. …”
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Investigation of bivariate particle size-density classification and quality differentiation of coal gasification fine slag by Xu SHI, Lili LIU, Mo CHU, Suqian GU, Jianfei DONG, Yanyu LIU

“…“Porous carbon”: Present in medium-coarse size fractions (0.074-0.25 mm) and medium-high density fractions (1.9-2.3 g/cm3), with well-developed internal pores and a large specific surface area. …”
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Exploring potential methylation markers for ovarian cancer from cervical scraping samples by Ju-Yin Lien, Lu Ann Hii, Po-Hsuan Su, Lin-Yu Chen, Kuo-Chang Wen, Hung-Cheng Lai, Yu-Chao Wang

“…Since aberrant DNA methylation patterns are linked to cancer progression, DNA methylation offers a promising avenue for early diagnosis. …”
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Machine learning based differential diagnosis of SAPHO syndrome and secondary bone tumors using whole body bone scintigraphy by Hongyang Jiang, Aihui Liu, Yihan Cao, Zhimin Lin, Haixu Jiang, Shengyan Liu, Qiuwei Peng, Xia Wu, Yuchen Liu, Xinbo Yu, Maming Wei, Yalin Pan, Chen Li, Zhenhua Ying

“…The WBBS findings of SAPHO syndromes and secondary bone tumors (SBT) have overlapping features, posing diagnostic challenges. In this multicenter study, we aim to identify different bone and joint involvement patterns between the two disease entities through multiple methods to build machine-learning models and explore interpretable variables. …”
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Probing Autism and ADHD subtypes using cortical signatures of the T1w/T2w-ratio and morphometry by Linn B. Norbom, Bilal Syed, Rikka Kjelkenes, Jaroslav Rokicki, Antoine Beauchamp, Stener Nerland, Azadeh Kushki, Evdokia Anagnostou, Paul Arnold, Jennifer Crosbie, Elizabeth Kelley, Robert Nicolson, Russell Schachar, Margot J. Taylor, Lars T. Westlye, Christian K. Tamnes, Jason P. Lerch

“…T1w/T2w-ratio features were the most relevant for demarcation, followed by surface area. …”
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Single-cell transcriptomics reveal the prognostic roles of epithelial and T cells and DNA methylation-based prognostic models in pancreatic cancer by Jing Du, Yaqian Zhao, Jie Dong, Peng Li, Yan Hu, Hailang Fan, Feifan Zhang, Lanlan Sun, Dake Zhang, Yuhua Zhang

“…Treatment predictions and nomograms were developed for clinical use. Conclusions scRNA-seq and DNAm data integration enabled the creation of predictive models based on epithelial and T cell-specific methylation patterns, offering robust prognosis prediction for PDAC patients.…”
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Preoperative digital 6-minute walk test reveals risk of postoperative pulmonary complications in patients undergoing heart valve surgery: a pilot feasibility study by Lixuan Li, Yuqiang Wang, Zhengbo Zhang, Zeruxin Luo, Wenqing Wang, Jiachen Wang, Xiaoli Liu, Ying Shi, Tian Yuan, Yong Fan, Hong Liang, Yingqiang Guo, Buqing Wang, Jing Wang, Jiaoxue Deng

“…We extracted 94 physiological features across 6MWT phases (baseline, walking, recovery) and clinical variables, developing predictive models using five machine learning algorithms evaluated through rigorous five-fold cross-validation. …”
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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

“…Abstract Model optimization is a problem of great concern and challenge for developing an image classification model. In image classification, selecting the appropriate hyperparameters can substantially boost the model’s ability to learn intricate patterns and features from complex image data. …”
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Bonded Discrete Element Simulations of Sea Ice With Non‐Local Failure: Applications to Nares Strait by Brendan West, Devin O’Connor, Matthew Parno, Max Krackow, Christopher Polashenski

“…The results indicate that the bonded DEM model is capable of qualitatively capturing the dynamic sea ice patterns through constrictions such as ice bridges, arch kinematic features, and lead formation. …”
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