ridhima gupta (12 resultados)

Condición: New.

Condición: New. In.

Condición: New. In.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Biofilm is a microbially derived community characterized by cells that are irreversibly attached to a substratum or interface or to each other, are embedded in a matrix of extracellular polysaccharides that they have produced and exhibit an altered phenotype with respect to growth rate and gene transcription. In 1890 Miller first observed microorganisms in association with pulp tissue and in 1987 first identification of biofilm structures in infected root canals was carried out by Nair. Since then it is explicit that bacteria are causative agent of endodontic infections. Bacteria can exert their pathogenicity via specific virulence factors such as exotoxins, Lipopolysaccharides, Lipoteichoic acid thereby causing either direct or indirect damage to host cells. Endodontic disease is essentially a biofilm-mediated infection with broader bacterial diversity than previously anticipated. 372 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Biofilm is a microbially derived community characterized by cells that are irreversibly attached to a substratum or interface or to each other, are embedded in a matrix of extracellular polysaccharides that they have produced and exhibit an altered phenotyp.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. Biofilms in Endodontics | Ridhima Gupta (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786205526057 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Biofilm is a microbially derived community characterized by cells that are irreversibly attached to a substratum or interface or to each other, are embedded in a matrix of extracellular polysaccharides that they have produced and exhibit an altered phenotype with respect to growth rate and gene transcription. In 1890 Miller first observed microorganisms in association with pulp tissue and in 1987 first identification of biofilm structures in infected root canals was carried out by Nair. Since then it is explicit that bacteria are causative agent of endodontic infections. Bacteria can exert their pathogenicity via specific virulence factors such as exotoxins, Lipopolysaccharides, Lipoteichoic acid thereby causing either direct or indirect damage to host cells. Endodontic disease is essentially a biofilm-mediated infection with broader bacterial diversity than previously anticipated.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 372 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Biofilm is a microbially derived community characterized by cells that are irreversibly attached to a substratum or interface or to each other, are embedded in a matrix of extracellular polysaccharides that they have produced and exhibit an altered phenotype with respect to growth rate and gene transcription. In 1890 Miller first observed microorganisms in association with pulp tissue and in 1987 first identification of biofilm structures in infected root canals was carried out by Nair. Since then it is explicit that bacteria are causative agent of endodontic infections. Bacteria can exert their pathogenicity via specific virulence factors such as exotoxins, Lipopolysaccharides, Lipoteichoic acid thereby causing either direct or indirect damage to host cells. Endodontic disease is essentially a biofilm-mediated infection with broader bacterial diversity than previously anticipated.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the rising need to address shifting global temperatures, precipitation patterns, and atmospheric conditions, text mining and sentiment analysis play a crucial role in managing climate change and promoting environmental sustainability. These techniques provide valuable insights to support decision-making, stakeholder engagement, risk management, policymaking, and corporate communication efforts to address the changing climate and respond to important crises. Further research into text mining and sentiment analysis is necessary to understand the public's perception on climate change, address corporate concerns, and identify emerging risks associated with the environment. Text Mining and Sentiment Analysis in Climate Change and Environmental Sustainability provides updated information on the emergence and role of text mining and sentiment analysis in predicting climate change and promoting environmental sustainability. It covers emerging trends involved in the nexus of text mining, sentiment analysis, climate change and environmental sustainability. This book covers topics such as environmental science, sustainable development, and machine learning, and is a useful resource for climatologists, environmental scientists, computer engineers, data scientists, academicians, and researchers.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the rising need to address shifting global temperatures, precipitation patterns, and atmospheric conditions, text mining and sentiment analysis play a crucial role in managing climate change and promoting environmental sustainability. These techniques provide valuable insights to support decision-making, stakeholder engagement, risk management, policymaking, and corporate communication efforts to address the changing climate and respond to important crises. Further research into text mining and sentiment analysis is necessary to understand the public's perception on climate change, address corporate concerns, and identify emerging risks associated with the environment. Text Mining and Sentiment Analysis in Climate Change and Environmental Sustainability provides updated information on the emergence and role of text mining and sentiment analysis in predicting climate change and promoting environmental sustainability. It covers emerging trends involved in the nexus of text mining, sentiment analysis, climate change and environmental sustainability. This book covers topics such as environmental science, sustainable development, and machine learning, and is a useful resource for climatologists, environmental scientists, computer engineers, data scientists, academicians, and researchers.