Application of Vis/NIR Spectroscopy in the Rapid and Non-Destructive Prediction of Soluble Solid Content in Milk Jujubes by Yinhai Yang, Shibang Ma, Feiyang Qi, Feiyue Wang, Hubo Xu

“…A Vis/NIR reflectance spectroscopy system covering 340–1031 nm was constructed to detect SSC in milk jujubes. A structured spectral modeling framework was adopted, consisting of outlier elimination, dataset partitioning, spectral preprocessing, feature selection, and model construction. …”
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Transcriptome-wide identification and systematic analysis of the Retrotransposon genes and their roles in ginsenoside biosynthesis in Panax ginseng by Chaofan Wang, Ruicen Liu, Dinghui Wang, Li Li, Yue Jiang, Yanfang Wang, Kangyu Wang, Mingzhu Zhao, Yi Wang, Meiping Zhang

“…Phylogenetic analysis revealed phenomenon of horizontal transfer of retrotransposons in ginseng. …”
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Ultrastructural analysis of changes in myocardial blood microvessels in severe burn shock by S. V. Savchenko, N. G. Oshchepkova, N. P. Bgatova, Yu. S. Taskaeva, E. V. Kuznetsov, V. P. Novoselov, A. Yu. Letyagin

“…Aim of the study was to conduct an ultrastructural stereological analysis of changes in the blood microvessels of the left ventricular myocardium in burn shock.Material and methods. …”
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Through the Citizen Scientists’ Eyes: Insights into Using Citizen Science with Machine Learning for Effective Identification of Unknown-Unknowns in Big Data by Kameswara Bharadwaj Mantha, Hayley Roberts, Lucy Fortson, Chris Lintott, Hugh Dickinson, William Keel, Ramanakumar Sankar, Coleman Krawczyk, Brooke Simmons, Mike Walmsley, Izzy Garland, Jason Shingirai Makechemu, Laura Trouille, Clifford Johnson

“…In the era of rapidly growing astronomical data, the gap between data collection and analysis is a significant barrier, especially for teams searching for rare scientific objects. …”
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Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy by Sadia Zafar, Muhammad Asif, Maaz Bin Ahmad, Taher M. Ghazal, Tauqeer Faiz, Munir Ahmad, Muhammad Adnan Khan

“…Moreover, a score-based quantitative analysis of these devices is performed to highlight their feature enrichment capability for each category. …”
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Hyperspectral imaging and machine learning for herbicide-resistant kochia identification in sugarbeet by Bright Mensah, Kelvin Betitame, Yu Zhang, Thomas Peters, Billy Graham Ram, Mian Jalal, Xin Sun

“…Spectra data were acquired and preprocessed using standard normal variate transformation and Savitzky–Golay smoothing methods, followed by stepwise feature selection to identify wavelengths features for classification. …”
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Decision tree for severity assessment of neurodegenerative diseases using possibility approach and gait dynamics by Preeti Khera, Ashok Kumar, Rajat Kapila

“…The study investigates the use of raw sensor signals from foot resistive switches (FSR) to determine high-level gait features for detection of disease severity in patients suffering from neurodegenerative disorders. …”
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Fault Diagnosis of Photovoltaic Grid-connected Inverter Based on Wavelet Analysis by FAN Jinglu, YI Yunlan

“…Aiming to the fault detecting of photovoltaic grid-connected inverter and its intelligent online diagnosis problem, it proposed a C3C3 inverter fault feature extraction method, which used a three-phase inverter output current as a result of judgments based on wavelet analysis, and combines the approximate component and detail component of failure signals as failure feature vector; then used the classification of neural network to complete the fault diagnosis of photovoltaic grid inverters. …”
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Lexical Emergence on Reddit: An Analysis of Lexical Change on the “Front Page of the Internet” by Hanna Mahler

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GazeMap: Dual-Pathway CNN Approach for Diagnosing Alzheimer’s Disease from Gaze and Head Movements by Hyuntaek Jung, Shinwoo Ham, Hyunyoung Kil, Jung Eun Shin, Eun Yi Kim

“…Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that impairs cognitive function, making early detection crucial for timely intervention. This study proposes a novel AD detection framework integrating gaze and head movement analysis via a dual-pathway convolutional neural network (CNN). …”
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Research on Malodor Component Identification Based on Sensor Array by Jiaxing Xie, Wen Chen, Shiyun Chen, Peiwen Wu, Zhendong Lv, Jiatao Wu, Zihao Chen, Zonghong Li, Fan Luo, Xiaohong Liu

“…To address these challenges, this study proposes an advanced electronic nose (e-nose) detection framework based on a time series data analysis. …”
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Analysis and Prediction of CET4 Scores Based on Data Mining Algorithm by Hongyan Wang

“…Taking test scores or make-up exams and re-learning as input features, the classification model can effectively predict ordinary students who have not graduated.…”
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A weighted fuzzy inference method and application on wheel damage analysis by QingE Wu, Fan Wu, Bofeng Zhang, Shaojing Song

“…The proposed method is applied to wheel damage sound analysis, and a corresponding detection system is developed. …”
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Comparison of SVM, K-NN, RF, CART, and GNB Algorithms for Water Bodies Detection Using Sentinel-2 Level-2a Imagery in Nakhon Pathom, Thailand by Ni Putu Nita Nathalia, Gede Andra Rizqy Wijaya, Kadek Yota Ernanda Aryanto, Ni Putu Novita Puspa Dewi, Putu Hendra Saputra, Ni Putu Karisma Dewi, Mellisa Damayanti, Kadek Losinanda Prawira

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Towards precision oncology: a multi-level cancer classification system integrating liquid biopsy and machine learning by Amr Eledkawy, Taher Hamza, Sara El-Metwally

“…Following the feature selection process, classifiers—including eXtreme Gradient Boosting, Random Forest, Extra Tree, and Quadratic Discriminant Analysis—are customized for each cancer type individually or in an ensemble soft voting setup to optimize predictive accuracy. …”
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Deep learning-driven medical image analysis for computational material science applications by Li Lu, Mingpei Liang

“…However, its application in computational material science remains underexplored, despite the increasing need for automated microstructure analysis and defect detection. Traditional image processing methods in material science often rely on handcrafted feature extraction and threshold-based segmentation, which lack adaptability to complex microstructural variations. …”
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Development of a Predictive Model of Occult Cancer After a Venous Thromboembolism Event Using Machine Learning: The CLOVER Study by Anabel Franco-Moreno, Elena Madroñal-Cerezo, Cristina Lucía de Ancos-Aracil, Ana Isabel Farfán-Sedano, Nuria Muñoz-Rivas, José Bascuñana Morejón-Girón, José Manuel Ruiz-Giardín, Federico Álvarez-Rodríguez, Jesús Prada-Alonso, Yvonne Gala-García, Miguel Ángel Casado-Suela, Ana Bustamante-Fermosel, Nuria Alfaro-Fernández, Juan Torres-Macho

“…Both clinically and ML-driven feature selection were performed to identify predictors for occult cancer. …”
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SMALL: open surgery versus minimally invasive vacuum-assisted excision for small screen-detected breast cancer—protocol for a phase III randomised multicentre trial by Sian Taylor-Phillips, Tracy Roberts, Nisha Sharma, Sangeetha Paramasivan, Shelley Potter, Stuart McIntosh, David Dodwell, Julia R Henderson, Hilary Stobart, Sarah Pinder, Jenna Morgan, Matthew G Wallis, Charlotte Coles, Zohal Nabi, Beatrix Elsberger, William Teh, Kenneth Elder, Jessica Foster, Claire Gaunt, Iain Lyburn, Claire Mabena, Sarah Pirrie, Elizabeth Southgate, Amruta Talwalkar, Elliot Turner, Dan Rea

“…Despite this, all patients with screen-detected cancers are currently treated with surgical excision and sentinel lymph node biopsy, although this may represent overtreatment. …”
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Research on Quantitative Analysis Method of Infrared Spectroscopy for Coal Mine Gases by Feng Zhang, Yuchen Zhu, Lin Li, Suping Zhao, Xiaoyan Zhang, Chaobo Chen

“…Accurate and reliable detection of coal mine gases is the key to ensuring the safe service of coal mine production. …”
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A Statistical Analysis of the Relationship Between Meme Stocks and Social Media by Seungju Lee, Yunyoung Lee, Jaewook Lee, Hoki Kim

“…To address this, we integrate econometric and NLP-based techniques, combining correlation analysis, Granger causality testing, BSADF-based bubble detection, and textual analysis. …”
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