Automatic license-plate recognition by A. V. Poltavskii, T. G. Yurushkina, M. V. Yurushkin

“…The work objective was to develop an intelligent recognition system based on the application of deep learning algorithms, such as convolution neural networks that consider automotive standards for license plates in various countries and continents, and are tolerant to camera locations and quality of input images, as well as to changing lighting, weather conditions, and license plate deformations.Materials and Methods. …”
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Molecular Modelling in Bioactive Peptide Discovery and Characterisation by Clement Agoni, Raúl Fernández-Díaz, Patrick Brendan Timmons, Alessandro Adelfio, Hansel Gómez, Denis C. Shields

“…AlphaFold is a general protein structure prediction tool based on deep learning that has greatly improved the predictions of peptide conformations and interactions, in addition to providing estimates of model accuracy at each residue which greatly guide interpretation. …”
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Calculating slope gradient variations in the submarine landforms by R and Python statistical libraries by Polina Lemenkova

“…However, analysis of such a complex geomorphic structure as ocean trench requires numerical computation and advanced statistical analysis of the data set. Such methods are proposed by R and Python programming languages that include libraries of machine learning algorithms for the data processing used in this research: {tidyverse}, {ggsignif}, {ggplot} and {magrittr} by R, StatsModels, Matplotlib, NumPy, Pandas and Seaborn by Python. …”
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Spectral Fingerprinting of Tencha Processing: Optimising the Detection of Total Free Amino Acid Content in Processing Lines by Hyperspectral Analysis by Qinghai He, Yihang Guo, Xiaoli Li, Yong He, Zhi Lin, Hui Zeng

“…Here, we establish a benchmark for machine learning-based HSI, integrating this technology into the tea processing workflow to provide a real-time decision support tool for quality control, offering a novel method for the rapid and accurate prediction of free amino acids during tea processing. …”
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Evaluation of household assessment data collected by community health workers in Cape Town, South Africa by Robert Mash, Louiso Du Pisanie, Carla Swart, Ella van der Merwe

“…The aim was to analyse the household data and evaluate its contribution to a community diagnosis, its quality and any implications for the performance of CHWs. Methods: This article used descriptive secondary analysis of household data collected by CHWs at three COPC learning sites in Cape Town (Nomzamo, Eastridge and Mamre). …”
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Fecal occult blood affects intestinal microbial community structure in colorectal cancer by Wu Guodong, Wu Yinhang, Wu Xinyue, Shen Hong, Chu Jian, Qu Zhanbo, Han Shuwen

“…Conclusion FOB affects the community composition of gut microbes. When predicting CRC risk based on gut microbiome, considering the influence of FOBT is expected to improve the accuracy of CRC risk prediction.…”
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The application of high-intensity interval training in college physical education and the improvement of students’ physical and mental quality by Xinghao Wang, Hongyan Wu, Qiao Meng, Jiancong Chen, Taofeng Liu

“…The traditional methods of losing weight, such as dieting, are not effective and have health risks. …”
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Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree. by Chang Zhou, Hua Yu, Yijie Ding, Fei Guo, Xiu-Jun Gong

“…Extensive experiments are performed for a crossover protein-protein interactions network and the prediction accuracies are also very promising. Because of learning capabilities of the gradient boosting decision tree and the mutil-scale feature representation scheme, the proposed method might be a useful tool for future proteomics studies.…”
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Integrative analysis of H&E and IHC identifies prognostic immune subtypes in HPV related oropharyngeal cancer by Sumanth Reddy Nakkireddy, Inyeop Jang, Minji Kim, Linda X. Yin, Michael Rivera, Joaquin J. Garcia, Kathleen R. Bartemes, David M. Routman, Eric. J. Moore, Chadi N. Abdel-Halim, Daniel J. Ma, Kathryn M. Van Abel, Tae Hyun Hwang

“…Abstract Background Deep learning techniques excel at identifying tumor-infiltrating lymphocytes (TILs) and immune phenotypes in hematoxylin and eosin (H&E)-stained slides. …”
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Gut microbial subtypes and clinicopathological value for colorectal cancer by Shuwen Han, Jing Zhuang, Yifei Song, Xinyue Wu, Xiaojian Yu, Ye Tao, Jian Chu, Zhanbo Qu, Yinhang Wu, Shugao Han, Xi Yang

“…Unsupervised learning was used to generate gut microbial subtypes. …”
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PhA-MOE: Enhancing Hyperspectral Retrievals for Phytoplankton Absorption Using Mixture-of-Experts by Weiwei Wang, Bingqing Liu, Song Gao, Jiang Li, Yueling Zhou, Songyang Zhang, Zhi Ding

“…Notably, this study marks the first application of a machine learning–based MOE model to real PACE-OCI hyperspectral imagery, validated using match-up field data. …”
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Development of a Predictive Model for Metabolic Syndrome Using Noninvasive Data and its Cardiovascular Disease Risk Assessments: Multicohort Validation Study by Jin-Hyun Park, Inyong Jeong, Gang-Jee Ko, Seogsong Jeong, Hwamin Lee

“…MethodsWe developed a machine learning–based predictive model using noninvasive data from two nationally representative cohorts: the Korea National Health and Nutrition Examination Survey (KNHANES) and the Korean Genome and Epidemiology Study. …”
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Midtveis i utdanningsløpet - barnehagelærerstudenters erfaringer med sammenheng og profesjonsinnretting by Grete Heidi Nesset, Inger Johanne Tollnes, Liv Torunn Eik

“…The findings of the survey show that encounters with key concepts in different interdisciplinary topic help to expand the understanding of interdisciplinary topic and to see connections in the structure of the programme. Student-active learning methods that result in variations in teaching and participation in learning processes, are highlighted as important premises for professional qualification in the education. …”
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Software Package for Optimization of Burner Devices on Dispersed Working Fluids by Ruslan V. Fedorov, Igor I. Shepelev, Mariia A. Malyoshina, Dmitry A. Generalov, Vyacheslav V. Sherkunov, Valeriy V. Sapunov

“…Optimal settings of these parameters can significantly impact the reduction in harmful emissions into the atmosphere, though finding such parameters is a labor-intensive process and requires the use of modern automation and data processing tools. Nowadays, the main methods to analyze and optimize various characteristics are machine learning methods based on artificial neural networks (ANNs), which are used in this work. …”
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Advances in Surface-Enhanced Raman Spectroscopy for Urinary Metabolite Analysis: Exploiting Noble Metal Nanohybrids by Ningbin Zhao, Peizheng Shi, Zengxian Wang, Zhuang Sun, Kaiqiang Sun, Chen Ye, Li Fu, Cheng-Te Lin

“…We analyze various fabrication methods that enable precise control over nanostructure morphology, composition, and surface chemistry. …”
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Cross-modality material embedding loss for transferring knowledge between heterogeneous material descriptors by Gyoung S. Na

“…Abstract Despite the remarkable successes of transfer learning in materials science, the practicality of existing transfer learning methods are still limited in real-world applications of materials science because they essentially assume the same material descriptors on source and target materials datasets. …”
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Radiomics to predict tumor response to combination chemoradiotherapy in squamous cell carcinoma of the anal canal: a preliminary investigation by Andrea Vanzulli, Lucilla Violetta Sciacqua, Filippo Patti, Roza Drebot, Eros Montin, Riccardo Lattanzi, Laura Anna Maria Lozza, Sergio Villa, Davide Scaramuzza

“…Our radiomic model predicted response to CRT based on pretreatment MRI. We observed a more homogeneous tissue composition in poor responders. …”
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From migration to cultivation: how green finance reshapes rural income and enhances agricultural resilience by Jinchen Yan, Jing Li, Yifang Liu, Kun Li, Xia Li

“…However, its specific effects on household income composition and broader rural transformation remain underexplored.MethodsThis study investigates the impact of the Green Finance Reform and Innovation Zones (GFRIZ) on the income structure of rural households. …”
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Inclusive power of digitalization: Smart city construction and the health of middle-aged and older disabilities by Hongkun Zhao, Qingrui Liu, Zhuo Chen

“…This research aims to investigate the impact of SCC on the health of middle-aged and older disabilities individuals, focusing on its dynamic trends, underlying mechanisms, unequal selection effects, and overall welfare. Methods Based on data from the China Health and Retirement Longitudinal Study, this paper estimates the impact of SCC on the health of middle-aged and older disabilities using the double machine learning method with the random forest algorithm, and examines the dynamic trend of the health effects using event study method. …”
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Animal Species Identification in Historical Parchments by Continuous Wavelet Transform–Convolutional Neural Network Classifier Applied to Ultraviolet–Visible–Near-Infrared Spectros... by Nicolas Roy, Henry Pièrard, Julie Bouhy, Alexandre Mayer, Olivier Deparis, David Gravis

“…Usually, species identification is performed with slightly invasive methods. In this study, we propose a contactless methodology based on reflectance spectrophotometry (ultraviolet–visible–near-infrared) and a machine learning approach for data analysis. …”
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