Prediction of the Calorific Value and Moisture Content of <i>Caragana korshinskii</i> Fuel Using Hyperspectral Imaging Technology and Various Stoichiometric Methods by Xuehong De, Haoming Li, Jianchao Zhang, Nanding Li, Huimeng Wan, Yanhua Ma

“…Meanwhile, to improve the prediction accuracy of the model to reduce the redundant wavelength data, we chose four feature extraction methods, competitive adaptive reweighted sampling (CARS), successive pojections algorithm (SPA), genetic algorithm (GA), iteratively retains informative variables (IRIV), and combined the three models to build a quantitative detection model for the characteristic wavelengths of moisture content and calorific value of <i>Caragana korshinskii</i> fuel. …”
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Age- and Post-Based Complex Analyses of Heart Rate Variability in Young Male Handball Players for Potential Prevention of Overload-induced Injuries by Zita Petrovszki, Olivér Czimbalmos, Vera Gal, Gabor Korosi, Edit Nagy, Rita Mikulan, Gyongyi Horvath

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Performance of a Retinal Imaging Camera With On-Device Intelligence for Primary Care: Retrospective Study by Matthew Silvestrini, Clarissa Lui, Anil Patwardhan, Ying Chen, Tayyeba Ali, Elie Glik, Honglei Wu, Brian Levinstein, Adrianna Wenz, Nathan Shemonski, Lin Yang, Ian Atkinson, Sam Kavusi

“… Abstract BackgroundAccess to screening continues to be a barrier for the early detection of diabetic retinopathy (DR). Primary care–based diabetic retinopathy screening could improve access, but operational challenges, such as cost and workflow management, hamper the widespread adoption of retinal camera systems in primary care clinics in the United States. …”
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The risk factors of cardiovascular disorders in children with chronic bronchopulmonary diseases by O. Ye. Pashkova, G. O. Lezhenko

“…The purpose was to determine the features of cardiovascular system morphofunctional state and the risk factors for cardiovascular disorders formation in children with chronic bronchopulmonary diseases. …”
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A Combined Deep CNN: LSTM with a Random Forest Approach for Breast Cancer Diagnosis by Almas Begum, V. Dhilip Kumar, Junaid Asghar, D. Hemalatha, G. Arulkumaran

“…The main objective of this paper is to propose a deep learning technique in combination with a convolution neural network (CNN) and long short-term memory (LSTM) with a random forest algorithm to diagnose breast cancer. Here, CNN is used for feature extraction, and LSTM is used for extracted feature detection. …”
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Gut microbiome composition changes in obstructive sleep apnoea syndrome also in relation to excessive daytime sleepiness by Mariana Fernandes, Orazio Palmieri, Stefano Castellana, Matteo Spanetta, Tiziana Latiano, Clementina Lupo, Claudia De Masi, Christian Cardile, Carmen Calvello, Francesca Izzi, Fabio Placidi, Tommaso Mazza, Nicola Biagio Mercuri, Anna Latiano, Claudio Liguori

“…Several taxa were detected as different in abundance between OSAS patients and healthy controls, although, globally, OSAS patients cannot be considered as “dysbiotic”. …”
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Research on an orchard row centreline multipoint autonomous navigation method based on LiDAR by Chen Zhenyu, Dou Hanjie, Gao Yuanyuan, Zhai Changyuan, Wang Xiu, Zou Wei

“…This algorithm retains the tree trunk position information from the point cloud based on tree trunk features to obtain a 2D grid map for orchard navigation, and the navigation point coordinates were calculated based on tree trunk positions. …”
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Anxiety-depressive syndrome in patients with arterial hypertension and chronic obstructive pulmonary disease with frequent exaccations by L. A. Shpagina, I. S. Shpagin, L. D. Khidirova, A. A. Vasilenko

“…To reveal psychosomatic features of the course of arterial hypertension in chronic obstructive pulmonary disease with frequent exacerbations.Materials and methods. …”
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Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma by Shiyan Song, Wenfei Ge, Xiaochen Qi, Xiangyu Che, Qifei Wang, Guangzhen Wu

“…Radiomics features were screened using LASSO analysis. Eight ML algorithms were selected for diagnostic analysis of the test set. …”
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Population-based colorectal cancer risk prediction using a SHAP-enhanced LightGBM model by Guinian Du, Hui Lv, Yishan Liang, Jingyue Zhang, Qiaoling Huang, Guiming Xie, Xian Wu, Hao Zeng, Lijuan Wu, Jianbo Ye, Wentan Xie, Xia Li, Yifan Sun

“…Seven ML algorithms were systematically compared, with Light Gradient Boosting Machine (LightGBM) ultimately selected as the optimal framework. …”
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Revolutionizing Cardiac Risk Assessment: AI-Powered Patient Segmentation Using Advanced Machine Learning Techniques by Joan D. Gonzalez-Franco, Alejandro Galaviz-Mosqueda, Salvador Villarreal-Reyes, Jose E. Lozano-Rizk, Raul Rivera-Rodriguez, Jose E. Gonzalez-Trejo, Alexei-Fedorovish Licea-Navarro, Jorge Lozoya-Arandia, Edgar A. Ibarra-Flores

“…We normalized and prepared the data, then we employed PCA and UMAP to reduce dimensionality and facilitate visualization. Using the k-means algorithm, we segmented the patients into distinct groups based on their clinical features. …”
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Vehicle Motion Sickness Profiling Through Interpretable Gradient Boosting: A Framework for Advanced Driver Assistance Systems by Jon Ander Ruiz Colmenares, Estibaliz Asua

“…CatBoost also demonstrates superior interpretability by providing balanced and meaningful feature importance distributions. The combination of advanced performance and interpretability allowed the model to accurately detect diverse motion sickness-inducing scenarios and uncover critical risk patterns.…”
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MSFragger-DDA+ enhances peptide identification sensitivity with full isolation window search by Fengchao Yu, Yamei Deng, Alexey I. Nesvizhskii

“…Utilizing MSFragger’s fragment ion indexing algorithm, MSFragger-DDA+ performs a comprehensive search within the full isolation window for each tandem mass spectrum, followed by robust feature detection, filtering, and rescoring procedures to refine search results. …”
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Construction and validation of HBV-ACLF bacterial infection diagnosis model based on machine learning by Neng Wang, Shuai Tao, Liang Chen

“…Abstract Objective To develop and validate a novel diagnostic model for detecting bacterial infections in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) using advanced machine learning algorithms. …”
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Real time counting method for coal mine drill pipes based on deep learning by Fukai ZHANG, Yiran SUN, Xufeng WU, Aijun LI, Peiyang LI, Dengke WANG, Guan YUAN, Shan ZHAO, Haiyan ZHANG

“…Experiments on the CMDPC dataset show that the improved Drill-YOLOv8 model performs well in mAP@0.5 The mAP @ [0.5:0.95] index has increased by 3.0% and 2.7% respectively, effectively solving the problem of false detection and missed detection of drilling head and drill pipe targets under strong light, water vapor, and occlusion environments, and the detection speed has reached 86 frames per second; At the same time, the weighted average error rate of the counting inference algorithm Pipe Count is 2%, showing good robustness against multi scene data, and the processing speed reaches 40 frames per second, meeting real-time counting requirements.…”
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Discrimination between sea ice and clouds over the Chukchi Sea via China’s ultraviolet–visible-infrared observations by Ziyi Suo, Yingcheng Lu, Lijian Shi, Bin Zou, Qing Wang, Ling Li, Jun Tang, Weimin Ju, Manchun Li

“…The ice/cloud identification results have been further applied to sea ice concentration (SIC) estimation, and extensive trials of this UV-based ice/cloud detection approach in the Arctic Passages demonstrates its potential applicability.…”
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EXPLORING A NOVEL HEXACO PERSONALITY TRAITS ON TWITTER: AN ENSEMBLE-BASED NLP METHODOLOGY by Tanvi Desai, Divyakant Meva

“…Our approach integrates advanced NLP techniques across key phases: preprocessing, feature extraction, feature selection, and final detection. …”
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A Systematic Study on the Extraction and Image Reproduction of Ceramic Sculpture Artworks by Yuhong Wang

“…The results show that the feature points detected by the one-dimensional normal distribution algorithm are on average 0.1%, 0.5%, 1.7%, 4.4%, and 9.2%. …”
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Genetic findings of children with congenital heart diseases using chromosomal microarray and trio-based whole exome sequencing by Rui Guo, Chunhong Duan, Mehdi Zarrei, Miriam S. Reuter, Rui Dong, Guangye Zhang, Xiaomeng Yang, Haiyang Zhang, Ying Wang, Stephen W. Scherer, Yi Liu, Zhongtao Gai

“…In individuals with extracardiac features, the overall detection rate was significantly higher (61.5%) than in individuals with isolated CHD (17.3%) (P = 4.6 × 10− 3). …”
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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…The approach begins by extracting features from DGA data using the ratio method and Multiscale sample entropy (MSE), then reconstructs the state space of the feature data using recursive plots to generate interpretable two-dimensional image features. …”
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