preeti tripathi (19 resultados)

Condición: New. pp. 423.

Condición: New. pp. 423.

Condición: New. pp. 423.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: Brand New. 47 pages. 6.00x0.11x9.00 inches. In Stock.

Taschenbuch. Condición: Neu. Arsenic Tolerance and Susceptibility Mechanism in Rice Plants | Preeti Tripathi (u. a.) | Taschenbuch | 256 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659471827 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Paperback. Condición: new. Paperback. This book explores the impact of sentiment analysis on social media platforms, examining how it influences public perception and behavior. It also delves into the role of machine learning in analyzing and understanding the dynamics of online interactions and the behavioral patterns associated with specific situations. In the rapidly evolving digital landscape, social media has become an integral part of daily life, shaping public discourse, influencing opinions, and fostering global interactions. The proliferation of various platforms, such as Facebook, Twitter, Instagram, and LinkedIn, has created vast digital ecosystems where individuals, organizations, and even governments engage in discussions, debates, and content sharing. The continuous flow of information in these online spaces has led to a growing interest in understanding how opinions and emotions expressed on these platforms impact society. One of the most effective methods for analyzing and interpreting these interactions is sentiment analysis, a field that employs computational techniques to assess and categorize opinions expressed in text, images, and videos. This book delves into the profound impact of sentiment analysis on social media platforms, exploring how it influences public perception and human behavior. Sentiment analysis, also known as opinion mining . This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 48 pp. Englisch.

Paperback. Condición: new. Paperback. This book explores the impact of sentiment analysis on social media platforms, examining how it influences public perception and behavior. It also delves into the role of machine learning in analyzing and understanding the dynamics of online interactions and the behavioral patterns associated with specific situations. In the rapidly evolving digital landscape, social media has become an integral part of daily life, shaping public discourse, influencing opinions, and fostering global interactions. The proliferation of various platforms, such as Facebook, Twitter, Instagram, and LinkedIn, has created vast digital ecosystems where individuals, organizations, and even governments engage in discussions, debates, and content sharing. The continuous flow of information in these online spaces has led to a growing interest in understanding how opinions and emotions expressed on these platforms impact society. One of the most effective methods for analyzing and interpreting these interactions is sentiment analysis, a field that employs computational techniques to assess and categorize opinions expressed in text, images, and videos. This book delves into the profound impact of sentiment analysis on social media platforms, exploring how it influences public perception and human behavior. Sentiment analysis, also known as opinion mining . This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. This book explores the impact of sentiment analysis on social media platforms, examining how it influences public perception and behavior. It also delves into the role of machine learning in analyzing and understanding the dynamics of online interactions and the behavioral patterns associated with specific situations. In the rapidly evolving digital landscape, social media has become an integral part of daily life, shaping public discourse, influencing opinions, and fostering global interactions. The proliferation of various platforms, such as Facebook, Twitter, Instagram, and LinkedIn, has created vast digital ecosystems where individuals, organizations, and even governments engage in discussions, debates, and content sharing. The continuous flow of information in these online spaces has led to a growing interest in understanding how opinions and emotions expressed on these platforms impact society. One of the most effective methods for analyzing and interpreting these interactions is sentiment analysis, a field that employs computational techniques to assess and categorize opinions expressed in text, images, and videos. This book delves into the profound impact of sentiment analysis on social media platforms, exploring how it influences public perception and human behavior. Sentiment analysis, also known as opinion mining . This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rajput PreetiPreeti Rajput has obtained his Bachelor degree in Civil Engineering and Master degree in Water Resources Development and Irrigation Engineering in 2014. Her area of research is Water Resources Management. she is the auth.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 48 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Arsenic (As) contamination of paddy rice in South and South-East Asia has raised much concern as rice is the subsidence diet for millions. The mechanism of As tolerance was investigated on contrasting rice genotypes, selected for As tolerance and accumulation. The rice genotypes responded differentially under arsenate [As(V)] and arsenite [As(III)] stress in terms of gene expression, antioxidant defence and thiol metabolic pathway. Arsenic induced oxidative stress was more pronounced in sensitive rice, while most of antioxidant enzymes, amino acids, thiolic content and their biosynthesis enzymes, related gene expressions increased significantly in tolerant rice in contrast to sensitive rice. Silicon supplementation significantly ameliorates As induced oxidative stress in tolerant rice by lowering the As level and improving antioxidant enzymes and their isozymes compared to sensitive rice. The study suggests that diminution of antioxidative defense system and thiol metabolic pathway leads As sensitivity, while coordinated response of thiolic ligands and stress responsive amino acids seems play role for As tolerance in rice to achieve the effective complexation of As. 256 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores the impact of sentiment analysis on social media platforms, examining how it influences public perception and behavior. It also delves into the role of machine learning in analyzing and understanding the dynamics of online interactions and the behavioral patterns associated with specific situations. In the rapidly evolving digital landscape, social media has become an integral part of daily life, shaping public discourse, influencing opinions, and fostering global interactions. The proliferation of various platforms, such as Facebook, Twitter, Instagram, and LinkedIn, has created vast digital ecosystems where individuals, organizations, and even governments engage in discussions, debates, and content sharing. The continuous flow of information in these online spaces has led to a growing interest in understanding how opinions and emotions expressed on these platforms impact society. One of the most effective methods for analyzing and interpreting these interactions is sentiment analysis, a field that employs computational techniques to assess and categorize opinions expressed in text, images, and videos.This book delves into the profound impact of sentiment analysis on social media platforms, exploring how it influences public perception and human behavior. Sentiment analysis, also known as opinion mining .

Taschenbuch. Condición: Neu. Sentiment Analysis With ML | ML Impact | Preeti Bala Tripathi | Taschenbuch | Englisch | 2025 | Eliva Press | EAN 9789999325349 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tripathi PreetiDr. Preeti Tripathi (M.Sc., Ph.D., Environmental Science) is presently working as Dr D.S. Kothari Postdoctoral Fellow in Lucknow University, Lucknow, India. She has published her research findings in peer reviewed jour.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Arsenic (As) contamination of paddy rice in South and South-East Asia has raised much concern as rice is the subsidence diet for millions. The mechanism of As tolerance was investigated on contrasting rice genotypes, selected for As tolerance and accumulation. The rice genotypes responded differentially under arsenate [As(V)] and arsenite [As(III)] stress in terms of gene expression, antioxidant defence and thiol metabolic pathway. Arsenic induced oxidative stress was more pronounced in sensitive rice, while most of antioxidant enzymes, amino acids, thiolic content and their biosynthesis enzymes, related gene expressions increased significantly in tolerant rice in contrast to sensitive rice. Silicon supplementation significantly ameliorates As induced oxidative stress in tolerant rice by lowering the As level and improving antioxidant enzymes and their isozymes compared to sensitive rice. The study suggests that diminution of antioxidative defense system and thiol metabolic pathway leads As sensitivity, while coordinated response of thiolic ligands and stress responsive amino acids seems play role for As tolerance in rice to achieve the effective complexation of As.Books on Demand GmbH, Überseering 33, 22297 Hamburg 256 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Arsenic (As) contamination of paddy rice in South and South-East Asia has raised much concern as rice is the subsidence diet for millions. The mechanism of As tolerance was investigated on contrasting rice genotypes, selected for As tolerance and accumulation. The rice genotypes responded differentially under arsenate [As(V)] and arsenite [As(III)] stress in terms of gene expression, antioxidant defence and thiol metabolic pathway. Arsenic induced oxidative stress was more pronounced in sensitive rice, while most of antioxidant enzymes, amino acids, thiolic content and their biosynthesis enzymes, related gene expressions increased significantly in tolerant rice in contrast to sensitive rice. Silicon supplementation significantly ameliorates As induced oxidative stress in tolerant rice by lowering the As level and improving antioxidant enzymes and their isozymes compared to sensitive rice. The study suggests that diminution of antioxidative defense system and thiol metabolic pathway leads As sensitivity, while coordinated response of thiolic ligands and stress responsive amino acids seems play role for As tolerance in rice to achieve the effective complexation of As.