krishnaveni d (48 resultados)

Soft cover. Condición: As New. Contents: 1. Introduction to Clinical Pharmacy. 2. Ambulatory Pharmacy. 3. Patient Counseling. 4. Medication History Review. 5. Ward Round Participation. 6. Monitoring Drug Therapy. 7. Therapeutic Drug Monitoring. 8. Drug Utilization Review. 9. Drug Information Services. 10. Drug-Drug Interactions. 11. Drug Food / Herb Interactions. 12. Drug -- Lab Interactions. 13. Medication Errors. 14. Adverse Drug Reactions and Management. 15. Total Parenteral Nutrition. 16. Drugs in Pregnancy and Lactation. 17. Technology and Automation. 18. Pharmacoeconomics. 19. Pharmacoepidemiology. 20. Clinical Laboratory Tests and Their Significance. Clinical Pharmacy is a concept emphasizing the safe and appropriate use of drugs in patients. It places the emphasis of drugs on the patient, not on the product. Clinical Pharmacy is concerned with all those services provided by pharmacists in an attempt to provide rational drug therapy that is safe, appropriate and cost effective. Salient Features: Written in lucid and easy understanding. Contents of the book covers the curriculum of undergraduates and postgraduates. Covers 20 topics including Clinical Pharmacy, Ambulatory Pharmacy, Patient Counseling etc., for comprehensive coverage of the subject.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Paperback. Condición: New. This collection features five peer-reviewed literature reviews on decision support systems (DSS) in agriculture.The first chapter provides a review of DSS in agriculture, whilst addressing the key questions surrounding their use for farm soil and crop management. The different aspects of agricultural DSS design, implementation and operation are also discussed.The second chapter assesses the role of DSS for pest monitoring and management through information technology such as, remote sensing, GIS, spectral indices, image-based diagnostics, and phenology-based degree day models.The third chapter discusses the potential of implementing DSS within the growing mechanisation in greenhouses. It examines differences in development and application of deterministic explanatory and data-based models for real-time control and DSS.The fourth chapter explores the key issues associated with deploying DSS in precision agriculture, whilst also considering their human and social aspects. The chapter also considers how future research on DSS can be moulded to improve productivity in a precision agriculture setting.The final chapter outlines the importance of a participatory approach in DSS development, whilst also offering examples of climate-based DSS for crop and land management, pest and disease management, and livestock (dairy) management.

Paperback. Condición: New. This collection features six peer-reviewed reviews on advances and in detecting and forecasting crop pests and diseases.The first chapter introduces the concept of machine learning to identify and diagnose crop diseases, focussing on the deep learning concept.The second chapter discusses recent advances in crop disease forecasting models, focussing on the application of precision agriculture technologies and Earth observation satellites to identify areas at risk of possible disease outbreaks.The third chapter explores the contribution of remote sensing in improving the ways in which plant health is monitored in response to exposure to biotic stresses, such as disease.The fourth chapter reviews how sensor technologies in combination with informatics and modern application technologies can contribute to more effective pest control.The fifth chapter assesses the role of decision support systems for pest monitoring and management through information technology, such as spectral indices and image-based diagnostics.The final chapter addresses key issues and challenges in pest monitoring and forecasting models, such as the limitation of some traps in attracting insects through the use of sex pheromones.

Paperback. Condición: New. This collection features five peer-reviewed literature reviews on decision support systems (DSS) in agriculture.The first chapter provides a review of DSS in agriculture, whilst addressing the key questions surrounding their use for farm soil and crop management. The different aspects of agricultural DSS design, implementation and operation are also discussed.The second chapter assesses the role of DSS for pest monitoring and management through information technology such as, remote sensing, GIS, spectral indices, image-based diagnostics, and phenology-based degree day models.The third chapter discusses the potential of implementing DSS within the growing mechanisation in greenhouses. It examines differences in development and application of deterministic explanatory and data-based models for real-time control and DSS.The fourth chapter explores the key issues associated with deploying DSS in precision agriculture, whilst also considering their human and social aspects. The chapter also considers how future research on DSS can be moulded to improve productivity in a precision agriculture setting.The final chapter outlines the importance of a participatory approach in DSS development, whilst also offering examples of climate-based DSS for crop and land management, pest and disease management, and livestock (dairy) management.

Paperback. Condición: New. This collection features six peer-reviewed reviews on advances and in detecting and forecasting crop pests and diseases.The first chapter introduces the concept of machine learning to identify and diagnose crop diseases, focussing on the deep learning concept.The second chapter discusses recent advances in crop disease forecasting models, focussing on the application of precision agriculture technologies and Earth observation satellites to identify areas at risk of possible disease outbreaks.The third chapter explores the contribution of remote sensing in improving the ways in which plant health is monitored in response to exposure to biotic stresses, such as disease.The fourth chapter reviews how sensor technologies in combination with informatics and modern application technologies can contribute to more effective pest control.The fifth chapter assesses the role of decision support systems for pest monitoring and management through information technology, such as spectral indices and image-based diagnostics.The final chapter addresses key issues and challenges in pest monitoring and forecasting models, such as the limitation of some traps in attracting insects through the use of sex pheromones.

Condición: As New. Unread book in perfect condition.

Condición: New. In.

Condición: New. In.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Paperback. Condición: New. This collection features five peer-reviewed literature reviews on decision support systems (DSS) in agriculture.The first chapter provides a review of DSS in agriculture, whilst addressing the key questions surrounding their use for farm soil and crop management. The different aspects of agricultural DSS design, implementation and operation are also discussed.The second chapter assesses the role of DSS for pest monitoring and management through information technology such as, remote sensing, GIS, spectral indices, image-based diagnostics, and phenology-based degree day models.The third chapter discusses the potential of implementing DSS within the growing mechanisation in greenhouses. It examines differences in development and application of deterministic explanatory and data-based models for real-time control and DSS.The fourth chapter explores the key issues associated with deploying DSS in precision agriculture, whilst also considering their human and social aspects. The chapter also considers how future research on DSS can be moulded to improve productivity in a precision agriculture setting.The final chapter outlines the importance of a participatory approach in DSS development, whilst also offering examples of climate-based DSS for crop and land management, pest and disease management, and livestock (dairy) management.

Paperback. Condición: New. This collection features six peer-reviewed reviews on advances and in detecting and forecasting crop pests and diseases.The first chapter introduces the concept of machine learning to identify and diagnose crop diseases, focussing on the deep learning concept.The second chapter discusses recent advances in crop disease forecasting models, focussing on the application of precision agriculture technologies and Earth observation satellites to identify areas at risk of possible disease outbreaks.The third chapter explores the contribution of remote sensing in improving the ways in which plant health is monitored in response to exposure to biotic stresses, such as disease.The fourth chapter reviews how sensor technologies in combination with informatics and modern application technologies can contribute to more effective pest control.The fifth chapter assesses the role of decision support systems for pest monitoring and management through information technology, such as spectral indices and image-based diagnostics.The final chapter addresses key issues and challenges in pest monitoring and forecasting models, such as the limitation of some traps in attracting insects through the use of sex pheromones.

Condición: New. In.

Condición: New.

Hardback. Condición: New. St ed.

Hardcover. Condición: New. Estado de la sobrecubierta: New. 1st Edition. Contents: Preface. 1. Metabolism. 2. Thermodynamics and Bioenergetics. 3. Carbohydrate metabolism-I. 4. Carbohyrdate metabolism-II. 5. Fat metabolism. 6. Protein metabolism. 7. Nucleotide metabolism. Index. Metabolism is the baseline of the molecular mechanisms of all life forms. Throughout the history of understanding this scientific discipline, biochemists have worked to reveal the fundamental chemical and physical principles that underlie these living processes. The progress in our understanding of living organisms, already enormous by the early 1990s, is currently being exceeded, in no small measure, because of the spectacular advances in molecular technologies that are based on biochemical research. The challenge in life and biological science education is how to prepare students for careers in diverse fields in which the pace of knowledge accumulation will only accelerate in the foreseeable future. In this regard, the most important tool that teachers can offer the students of biological science disciplines is a coherent understanding of the basics of this cellular metabolic process. The first edition of "Understanding Metabolism" has been designed and compiled to provide a logical, basic and accessible introduction to biochemical principles underlying cellular metabolism.

Paperback. Condición: New. This collection features five peer-reviewed literature reviews on decision support systems (DSS) in agriculture.The first chapter provides a review of DSS in agriculture, whilst addressing the key questions surrounding their use for farm soil and crop management. The different aspects of agricultural DSS design, implementation and operation are also discussed.The second chapter assesses the role of DSS for pest monitoring and management through information technology such as, remote sensing, GIS, spectral indices, image-based diagnostics, and phenology-based degree day models.The third chapter discusses the potential of implementing DSS within the growing mechanisation in greenhouses. It examines differences in development and application of deterministic explanatory and data-based models for real-time control and DSS.The fourth chapter explores the key issues associated with deploying DSS in precision agriculture, whilst also considering their human and social aspects. The chapter also considers how future research on DSS can be moulded to improve productivity in a precision agriculture setting.The final chapter outlines the importance of a participatory approach in DSS development, whilst also offering examples of climate-based DSS for crop and land management, pest and disease management, and livestock (dairy) management.

Paperback. Condición: New. This collection features six peer-reviewed reviews on advances and in detecting and forecasting crop pests and diseases.The first chapter introduces the concept of machine learning to identify and diagnose crop diseases, focussing on the deep learning concept.The second chapter discusses recent advances in crop disease forecasting models, focussing on the application of precision agriculture technologies and Earth observation satellites to identify areas at risk of possible disease outbreaks.The third chapter explores the contribution of remote sensing in improving the ways in which plant health is monitored in response to exposure to biotic stresses, such as disease.The fourth chapter reviews how sensor technologies in combination with informatics and modern application technologies can contribute to more effective pest control.The fifth chapter assesses the role of decision support systems for pest monitoring and management through information technology, such as spectral indices and image-based diagnostics.The final chapter addresses key issues and challenges in pest monitoring and forecasting models, such as the limitation of some traps in attracting insects through the use of sex pheromones.

Hardback. Condición: New. St ed.

Condición: New.

Hardback. Condición: New. St ed.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.