Immunochromatographic food control tools: New developments and practical prospects by A. V. Zherdev, E. A. Zvereva, N. A. Taranova, I. V. Safenkova, N. L. Vostrikova, B. B. Dzantiev

“…Examples of integration of immunochromatographic tests with the systems of automatic registration, processing, transfer, storage and analysis of results of numerous tests are represented.…”
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A Fast and Efficient Denoising and Surface Reflectance Retrieval Method for ZY1-02D Hyperspectral Data by Qiongqiong Lan, Yaqing He, Qijin Han, Yongguang Zhao, Wan Li, Lu Xu, Dongping Ming

“…Hyperspectral remote sensing is crucial due to its continuous spectral information, especially in the quantitative remote sensing (QRS) field. Surface reflectance (SR), a fundamental product in QRS, can play a pivotal role in application accuracy and serves as a key indicator of sensor performance. …”
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Diagnosis of Coronary Heart Disease Through Deep Learning-Based Segmentation and Localization in Computed Tomography Angiography by Bo Zhao, Jianjun Peng, Ce Chen, Yongyan Fan, Kai Zhang, Yang Zhang

“…Coronary computed tomography angiography (CCTA) has emerged as a non-invasive modality for detailed coronary artery visualization; however, automatic and accurate segmentation of coronary structures from CCTA images remains challenging. …”
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InterTransViewer: a comparative description of differential gene expression profiles from different experiments by А. V. Tyapkin, V. V. Lavrekha, E. V. Ubogoeva, D. Yu. Oshchepkov, N. A. Omelyanchuk, E. V. Zemlyanskaya

“…In this paper, we propose a set of quantitative indicators for a comprehensive comparative description of transcriptomic data. …”
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Determining sensory drivers of complex metadescriptors through regression modelling by Emily Fisher, Charles Diako, Rebecca Shingleton, Sidsel Jensen, Joanne Hort

“…Thirty-two milk samples were chosen to represent these attributes, spanning a wide range of creaminess. Quantitative descriptive analysis, with trained panellists, and a consumer study (n = 117 New Zealand milk drinkers) assessed the sensory attributes and creaminess ratings, respectively. …”
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Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning. by Gavin R Meehan, Vanessa Herder, Jay Allan, Xinyi Huang, Karen Kerr, Diogo Correa Mendonca, Georgios Ilia, Derek W Wright, Kyriaki Nomikou, Quan Gu, Sergi Molina Arias, Florian Hansmann, Alexandros Hardas, Charalampos Attipa, Giuditta De Lorenzo, Vanessa Cowton, Nicole Upfold, Natasha Palmalux, Jonathan C Brown, Wendy S Barclay, Ana Da Silva Filipe, Wilhelm Furnon, Arvind H Patel, Massimo Palmarini

“…Here, we aimed to develop robust quantitative pipelines to assess the virulence of SARS-CoV-2 variants in hamsters. …”
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Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery by Hsing-Hao Ho, Huai-Che Yang, Wen-Xiang Yang, Cheng-Chia Lee, Hsiu-Mei Wu, I-Chun Lai, Ching-Jen Chen, Syu-Jyun Peng

“…We also applied transfer learning to the DeepMedic deep learning model to facilitate the automatic segmentation and quantification of AVM edema regions in T2w images. …”
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Determination of Mercury Impurities in Protamine Sulfate Medicament by Stripping Voltammetry by N. O. Kim, E. A. Ivanovskaja

“…The article presents data of the quantitative mercury determination in an aqueous solution of the pharmaceutical substance protamine sulfate by stripping voltammetry on graphite electrodes modified with a gold-polymer composition. …”
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New Functional Fermented Mare’s Milk Product: Biological Assessment in vivo by Elena S. Simonenko, Sergey V. Simonenko, Anna V. Begunova, Andrey N. Petrov, Elena S. Semenovа

“…The quantitative assessment employed the ImageJ software (USA). …”
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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging by Chiara Manini, Markus Hüllebrand, Lars Walczak, Sarah Nordmeyer, Lina Jarmatz, Titus Kuehne, Heiko Stern, Christian Meierhofer, Andreas Harloff, Jennifer Erley, Sebastian Kelle, Peter Bannas, Ralf Felix Trauzeddel, Jeanette Schulz-Menger, Anja Hennemuth

“…However, the manual or semi-automatic segmentation of aortic vessel boundaries in 4D flow data introduces variability and limits the reproducibility of aortic hemodynamics visualization and quantitative flow-related parameter computation. …”
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Automated analysis of retinal microcirculation in type 1 diabetes mellitus by Yu. N. Yusef, M. H. Durzhinskaya, V. G. Pavlov, D. V. Petrachkov, I. B. Gurevich, V. V. Yashina, A. T. Tleubaev, V. V. Fadeyev, I. V. Poluboyarinova, A. E. Goldsmid, R. А. Karamullina, D. V. Lipatov, M. V. Budzinskaya

“…BACKGROUND: The paper is dedicated to the assessment of the retinal microvasculature in patients with type 1 diabetes mellitus (DM) with various features of the clinical course and different stages of diabetic retinopathy (DR). Automatic analysis of optical coherence tomogram angiograms (OCT-A) was carried out with specially developed software that provides the ability to estimate quantitative vascular parameters.AIM: The purpose of the study was to assess diagnostic accuracy of clinical parameters and imaging biomarkers in type 1 diabetes using a new algorithm for OCT-A analysis.MATERIALS AND METHODS: The study involved 186 people (365 eyes) with type 1 diabetes. …”
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On the trail of CBCT-guided adaptive rectal boost radiotherapy, does daily delineation require a radiation oncologist? by Julien Pierrard, David Dechambre, Christel Abdel Massih, Sophie Cvilic, Ana Da Silva Chambel Roma, Pascale Henderickx, Sofie Heylen, Eleonore Longton, Romain Mony, Mohamed Amine Tenabene, Thaïs Tison, Ad Vandermeulen, Loïc Vander Veken, Aniko Wale Etume, Anne-Emmanuella Yeo, Geneviève Van Ooteghem

“…Moreover, these findings provide quantitative data to compute accurate margins for the rectal boost planning target volume in a CBCT-guided oART workflow.…”
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Current Trends and Perspectives of Pressure Wire-Based Coronary Artery Bypass Grafting by Yoshiyuki Takami, Atsuo Maekawa, Koji Yamana, Kiyotoshi Akita, Kentaro Amano, Wakana Niwa, Kazuki Matsuhashi, Yasushi Takagi

“…With the introduction of FFR-CT, CTCA is now highly anticipated to provide both functional evaluation (of myocardial ischemia) via FFR-CT and anatomical information through serial quantitative assessment. Beyond the diagnostic phase, CTCA, augmented by automatic artificial intelligence, holds great potential for guiding therapeutic interventions in the future.…”
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Vitamin D testing in pharmacies: Results of a federal screening campaign by Olaf Rose, Stefanie Eppacher, Johanna Pachmayr, Stephanie Clemens

“…Quantitative data were analyzed descriptively. Both parametric- and nonparametric statistical tests were performed to analyze the data, ensuring robust results across different assumptions. …”
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AutoGEEval: A Multimodal and Automated Evaluation Framework for Geospatial Code Generation on GEE with Large Language Models by Huayi Wu, Zhangxiao Shen, Shuyang Hou, Jianyuan Liang, Haoyue Jiao, Yaxian Qing, Xiaopu Zhang, Xu Li, Zhipeng Gui, Xuefeng Guan, Longgang Xiang

“…AutoGEEval supports multidimensional quantitative analysis of model outputs in terms of accuracy, resource consumption, execution efficiency, and error types. …”
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Domain-specific AI segmentation of IMPDH2 rod/ring structures in mouse embryonic stem cells by Samuel T. M. Ball, Meagan J. Hennessy, Yuhan Tan, Kai F. Hoettges, Neil D. Perkins, David J. Wilkinson, Michael R. H. White, Yalin Zheng, David A. Turner

“…To address this analysis bottleneck, we have created a fully automatic RR image classification pipeline to segment, characterise and measure feature distributions of these structures in ESCs. …”
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A Deep Learning-Based Time-Frequency Scheme for Ship Detection Using HFSWR by Da Huang, Hao Zhou, Yingwei Tian, Zhiqing Yang, Weimin Huang

“…To ensure high-quality model training, we develop a semiautomatic annotation approach that uses automatic identification system (AIS) information as a reference and collect a TF dataset named HFSWR-TFD. …”
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FROM DIGITIZED SCIENCE TO DIGITIZED SOCIETY by I. P. Smirnov

“…It is highlighted that digitization of science and quantitative indicators based on grant financing can not replace basic funding of science. …”
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The challenges for developing prognostic prediction models for acute kidney injury in hospitalized children: A systematic review by Chen Wang, Xiaohang Liu, Chao Zhang, Ruohua Yan, Yuchuan Li, Xiaoxia Peng

“…Further investigation should focus on the combination of prediction models and electronic automatic alerts.…”
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Oil-Painting Style Classification Using ResNet with Conditional Information Bottleneck Regularization by Yaling Dang, Fei Duan, Jia Chen

“…Automatic classification of oil-painting styles holds significant promise for art history, digital archiving, and forensic investigation by offering objective, scalable analysis of visual artistic attributes. …”
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