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A microbiological identification and recovery actions of critical symptoms of anammox image bacteria.
Masood, Jafar Ali Ibrahim Syed; Chakravarthy, N S Kalyan; Abd-Elkader, Omar H; Ahamed, Anis; Mohaideen, Alhaf Malik Kaja; Sugumaran, Vijayan.
Afiliação
  • Masood JAIS; Department of Internet of Things, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632 014, Tamilnadu, India. Electronic address: jafarali.s@vit.ac.in.
  • Chakravarthy NSK; Center for Data Science, School of Computer Science and Engineering, QIS College of Engineering and Technology, Ongole 523272, Andhra Pradesh, India. Electronic address: nskc@qiscet.edu.in.
  • Abd-Elkader OH; Department of Physics and Astronomy, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia. Electronic address: omabdelkader7@ksu.edu.sa.
  • Ahamed A; Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia. Electronic address: anazeer@ksu.edu.sa.
  • Mohaideen AMK; Department of Self-Development Skills, CFY Deanship, King Saud University, Riyadh, Saudi Arabia. Electronic address: amohaideen.c@ksu.edu.sa.
  • Sugumaran V; Department of Decision and Information Sciences, School of Business Administration, Oakland University, Rochester, MI 48309, USA.. Electronic address: sugumara@oakland.edu.
Prev Med ; 174: 107620, 2023 09.
Article em En | MEDLINE | ID: mdl-37451554
Currently, the risks posed by bacteria are becoming increasingly important. It now appears that the cell wall of Anammox image bacteria is very different from what has been generally considered for many years. Not every textbook contains the peptidoglycan on the cell wall of Anammox image bacteria - the sugar-protein chain that strengthens the cells of most bacteria. Most researchers in this Anammox image bacteria diseased identification wanted to find out what gave the Anammox image cell its stability. It used powerful cryo-electron microscopes to examine the bacterial cell wall and find the exact structure of the peptidoglycan. A new algorithm is proposed to discover that Anammox image bacteria contain peptidoglycan, which completes a theory in microbiology. The identification of different diseases is listed, and the proposed model compares the exact results while comparing the parameters like accuracy, precision, recall, and F1-Score. Keywords: Anammox image bacteria, cell wall, cell stability, cryo-electron, microscope images, accuracy, precision, recall, F1-score.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptidoglicano / Oxidação Anaeróbia da Amônia Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptidoglicano / Oxidação Anaeróbia da Amônia Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article