Binocular Video-Based Automatic Pixel-Level Crack Detection and Quantification Using Deep Convolutional Neural Networks for Concrete Structures by Liqu Liu, Bo Shen, Shuchen Huang, Runlin Liu, Weizhang Liao, Bin Wang, Shuo Diao

“…In this methodology, the proposed method based on the following four modules is adopted: a lightweight classification algorithm, a high-precision segmentation algorithm, a semi-global block matching algorithm (SGBM), and a crack quantification technique. …”
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Development of a 3-MicroRNA Signature and Nomogram for Predicting the Survival of Patients with Uveal Melanoma Based on TCGA and GEO Databases by Jun Zuo, Hongquan Ye, Jing Tang, Jianqun Lu, Qi Wan

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A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health by Andrew Hatch, James Horne, Ryan Toma, Brittany L. Twibell, Kalie M. Somerville, Benjamin Pelle, Kinga P. Canfield, Matvey Genkin, Guruduth Banavar, Ally Perlina, Helen Messier, Niels Klitgord, Momchilo Vuyisich

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Refreshable memristor via dynamic allocation of ferro-ionic phase for neural reuse by Jiangang Chen, Zhixing Wen, Fan Yang, Renji Bian, Qirui Zhang, Er Pan, Yuelei Zeng, Xiao Luo, Qing Liu, Liang-Jian Deng, Fucai Liu

“…Here, we demonstrate a rational device designed based on ferroionic CuInP2S6, to accomplish the neural reuse function, enabled by dynamic allocation of the ferro-ionic phase. …”
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Bidimensional Increment Entropy for Texture Analysis: Theoretical Validation and Application to Colon Cancer Images by Muqaddas Abid, Muhammad Suzuri Hitam, Rozniza Ali, Hamed Azami, Anne Humeau-Heurtier

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Isolation and study of biological properties of <i>Bordetella bronchiseptica</i>-specific bacteriophages by T. A. Kochetova, V. V. Yuskevich, G. T. Sadykova, V. M. Popova

“…Plaques also varied in size from 0.6 ± 0.2 to 2.6 ± 0.1 mm. High levels of temperature stability were noted during exposure of bacteriophages to high temperatures ranging from +40 to +95 °C in 5 °C step. …”
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Influence of Fasting Plasma Glucose Level on Admission of COVID-19 Patients: A Retrospective Study by Yingying Zhao, Huichun Xing

“…In a logistic regression model, after adjusting for gender and age, COVID-19 patients with elevated FPG were more likely to had longer duration of SARS-CoV-2 RNA positivity than those with normal FPG levels (OR 3.053 [95% CI 1.343, 6.936]). Conclusion. Higher FPG levels (≥6.1 mmol/l) at admission was an independent predictor for prolonged SARS-CoV-2 shedding, regardless of a known history of diabetes. …”
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Impact of geriatric nutritional risk index and diabetes mellitus on prognosis in ischaemic heart failure with reduced ejection fraction by Zhiyong Shi, Mingkai Yun, Haiyan Liu, Sijin Li, Xiaoli Zhang

“…Eighty-four patients (15.6%) were classified as malnourished (GNRI ≤ 98). …”
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A Case of Systemic Lupus Erythematosus/Antineutrophil Cytoplasmic Antibody-Associated Vasculitis Overlap Syndrome with Dissociated Pathological and Immunological Findings by Kazuhiko Kato, Tetsuya Kawamura, Risa Terashima, Yukiko Tsuchiya, Yasuhito Takahashi, Kenji Kasai, Takashi Yokoo

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Characterization of Pregnant Women with Heart Disease at the “Ramón Gonzalez Coro” Gynecologic and Obstetric Teaching Hospital by Yanara Gutierrez Aliaga, Ileana Chio Naranjo, Elena Guerra Chang, Marlén Rodríguez Jorge, Mario Joel Arroyo Díaz, Mayelin Díaz Gutiérrez

“…<strong><br />Results:</strong> valvular heart diseases (25, 6 %) were the most common type of heart disease. …”
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Metabolic Syndrome Prediction Using Machine Learning Models with Genetic and Clinical Information from a Nonobese Healthy Population by Eun Kyung Choe, Hwanseok Rhee, Seungjae Lee, Eunsoon Shin, Seung-Won Oh, Jong-Eun Lee, Seung Ho Choi

“…Of the 7,502 nonobese participants, 647 (8.6%) had MS. In the test set analysis, for the maximum sensitivity criterion, NB showed the highest sensitivity: 0.38 for model A and 0.42 for model B. …”
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Diversity of <i>mariner</i>-like elements in Orthoptera by K. Ustyantsev, M. Biryukov, I. Sukhikh, N. V. Shatskaya, V. Fet, A. Blinov, I. Konopatskaia

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Integrative Geospatial Analysis: Unveiling Insights through GIS Modeling and Statistical Evaluation of SPT-N and Soil Types Data of New Kabul City, Afghanistan by Mohammad Amini, Longsheng Deng, Waqas Hassan, Muhammad Naqeeb Nawaz, Fatima Zahra Zidane, Ranke Fang

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Machine Learning and Artificial Intelligence Systems Based on the Optical Spectral Analysis in Neuro-Oncology by Tatiana Savelieva, Igor Romanishkin, Anuar Ospanov, Sergey Goryaynov, Galina Pavlova, Igor Pronin, Victor Loschenov

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Examination of Molecular Effects of MYLK Deletion in a Patient with Extensive Aortic, Carotid, and Abdominal Dissections That Underlie the Genetic Dysfunction by Sarah K. Macklin, Katelyn A. Bruno, Charitha Vadlamudi, Haytham Helmi, Ayesha Samreen, Ahmed N. Mohammad, Stephanie Hines, Paldeep S. Atwal, Thomas R. Caulfield

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Studying immunotherapeutic properties of the conjugate based on BCG antigens with betulonic acid in guinea pigs infected with <i>Mycobacterium scrofulaceum</i> by I. N. Koshkin, V. S. Vlasenko, N. A. Dengis

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Enhancing Heart Attack Prediction with Machine Learning: A Study at Jordan University Hospital by Mohammad Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh, Yara Alkayed, Yasmin Al Trabsheh, Bahaaldeen Alshraideh

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CSTN: A cross-region crop mapping method integrating self-training and contrastive domain adaptation by Shuwen Peng, Liqiang Zhang, Rongchang Xie, Ying Qu

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Biochemical Characterization of Seed Oil of Tunisian Sunflower (Helianthus annuus L.) Accessions with Special Reference to Its Fatty Acid Composition and Oil Content by Taoufik Hosni, Zouhaier Abbes, Leila Abaza, Sana Medimagh, Hamadi Ben Salah, Mohamed Kharrat

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Detection of gene mutation in a case of Nagashima-type palmoplantar keratoderma by CAO Yuanyuan, YUAN Zhaojun, JIN Chuanyang, WANG Tianzi, LIAO Xiaojie, LIU Hong

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