Evaluation of the applicability of immunochromatography to the identification of live plague vaccines and the tularaemia allergen (Tularin) by I. V. Kasina, S. A. Alekseeva, T. I. Nemirovskaya

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Mechanical response identification of local interconnections in board-level packaging structures under projectile penetration using Bayesian regularization by Xu Long, Yuntao Hu, Irfan Ali

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Synthesis of an Algorithm for Processing the Trajectories of Moving Objects Using the Methods of Data Clustering Theory by Nguyen Phung Bao, Quang Hieu Dang

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Application of Log Lithofacies Classification Model Based on Clustering-Support Vector Classification Method by HE Xianhong, LI Kesai, XU Jiacheng, FU Meiyan, YANG Yufei, SUN Jiaqi

“…The application of the method in other wells shows a significant inprovement on the correlation between the permeability and porosity of the same type of lithofacies in the rock identification results, which indicates a good effect of the model in lithofacies identification. …”
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Application of 2D NMR Component Definition Method in Complex Shale Reservoir Evaluation by GAO Shufang, ZHANG Xiaoqiu, LI Guimei, CHEN Wenan, LIANG Xiaoyu, GUO Ya'nan, LI Qingbo, WEI Guo

“…Due to the influence of lithology, physical properties and pore structure, conventional fluid identification methods, such as acoustic time difference and deep induction resistivity crossplot method, have limitations in the identification of such reservoir fluids. …”
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Identification of common and new rare types of weak RhD antigen in patients with blood diseases and healthy person by L. L. Golovkina, R. S. Kalandarov, O. S. Pshenichnikova, V. L. Surin, A. G. Stremoukhova, T. D. Pushkina, B. B. Khasigova

“…Objective of the work was to give molecular and serological characteristics of the antigen RhD weak types.Materials and methods. Method of rhesus phenotype determination in direct agglutination test on plane by using of anti-D, anti-C, anti-c, anti-Cw, anti-E and anti-e monoclonal antibodies; gel method of rhesus phenotype determination; methods of genetic typing of RhD; methods of antigen RhD determination in the classic indirect antiglobulin test and in the gel indirect antiglobulin test; method of antigen RhD determination in the saline agglutination test.Results. …”
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A Joint Estimation Method of Distribution Network Topology and Line Parameters Based on Power Flow Graph Convolutional Networks by Yu Wang, Xiaodong Shen, Xisheng Tang, Junyong Liu

“…Accurate identification of network topology and line parameters is essential for effective management of distribution systems. …”
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A Robust Multi-Modal Deep Learning-Based Fault Diagnosis Method for PV Systems by Shahabodin Afrasiabi, Sarah Allahmoradi, Mousa Afrasiabi, Xiaodong Liang, C. Y. Chung, Jamshid Aghaei

“…In this paper, a robust, multi-modal deep-learning-based fault identification method is proposed for solar photovoltaic (PV) systems, capable of detecting a wide range of faults at PV arrays, inverters, sensors, and grid connections. …”
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An Early Warning Method Based on Blending of Deep Generative Model and Oversampling Model for Online Learning by Mingyan Zhang, Yiqing Wang, Jui-Long Hung, Jie Wang, Chao Duan

“…Deep generative models and oversampling models are effective methods to solve data imbalance issues, which can improve classification performance. …”
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A Field Calibration Method for UHF Partial Discharge On-line Monitoring System Based on Cross-check Algorithm by Nan LI, Songyuan LI, Xuejun SHANG, Bowen GUO, Lin LI, Guoqiang ZU, Kai HOU

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Proving the adulteration of ewe and goat cheeses with cow milk using the reference method of isoelectric focusing of γ-casein by Nataša Mikulec, Dijana Plavljanić, Jasminka Špoljarić, Biljana Radeljević, Jasmina Havranek, Neven Antunac

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Advanced computational tools, artificial intelligence and machine-learning approaches in gut microbiota and biomarker identification by Tikam Chand Dakal, Caiming Xu, Caiming Xu, Abhishek Kumar, Abhishek Kumar

“…Additionally, machine learning (ML) approaches, including deep learning and network-based methods, are explored for their ability to uncover complex patterns within microbiome data, offering unprecedented insights into microbial interactions and their link to host health. …”
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Simultaneous identification of multiple animal-derived components in meat and meat products by using MNP marker based on high-throughput sequencing by Yan Yi, Zhanyue Jiang, Lixia Ma, Xiaoni Hou, Lun Li, Deping Ye, Juanlan Du, Hai Peng, Guoquan Han, Huaiping Li, Jiangwen Tang, Lihua Zhou

Subjects: “…multiple nucleotide polymorphism marker method…”
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Identification of high-risk soil erosion areas in the central Yunnan urban agglomeration and the differentiated driving mechanisms compared to the overall agglomeration by Dongling Ma, Shuangyun Peng, Zhiqiang Lin, Bangmei Huang, Ziyi Zhu, Shuangfu Shi

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A dialogical approach to navigating cultural heritage and self-identification: narrative accounts of UK-born young adults from immigrant backgrounds by Anna Gruszczyńska-Thompson

“…Utilising a multimethod narrative approach, including journaling, interviews, and co-analysis, the study highlights the co-constructed nature of the participants’ narratives, integrating insights from both the researcher and the participants. This method fosters participant agency, aligning with Bakhtin’s concept of self-authoring, while encouraging renarration and reflection on the constraints and freedoms inherent in their interactional and subjective self-identifications. …”
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Molecular identification of immature stages of medically important fly species, Puducherry, South India: a preliminary study by Sudha Bhuvaneshwaran, Visa Shalini Padmanaban, Ranjana Devi Radja, Gayathri Anandan, Shakila Venkatesan, Janani Semalaiyappan, Ashwani Kumar, Vijesh Sreedhar Kuttiatt

“…Molecular methods can be an alternative to morphology-based identification and find special application when only tiny pieces of specimens are available especially in cases of human myiasis. …”
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Stratifying the population based on health risk: identification of patient key health risk factors through consensus techniques by Carolina Castagna, Andrew Huff, Aaron Douglas, Matteo Garofano, Massimo Fabi, Richard Hass, Vittorio Maio

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Machine learning-based identification of key factors and spatial heterogeneity analysis of urban flooding: a case study of the central urban area of Ordos by Yu Qin, Yingdong Yu, Jiahong Liu, Ruifen Liu

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YOLOv5-RF: a deep learning method for tailings pond identification in high-resolution remote sensing images based on improved loss function by Weiming Zhang, Wenliang Jiang, Qiang Li, Yi Luo, Heng Zhang, Qisong Jiao, Yongsheng Li, Hongbo Jiang

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Current status of the laboratory diagnosis of anthrax: detection and identification of <i>Bacillus anthracis</i> by L. V. Sayapina, R. N. Lobach, V. P. Bondarev, N. F. Nikityuk

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