1 Fundamentals and Cell Physiology 2 Nerve and Muscle, Physical Work 3 Autonomic Nervous System (ANS) 4 Blood 5 Respiration 6 Acid–Base Homeostasis 7 Kidneys, Salt, and Water Balance 8 Cardiovascular System 9 Thermal Balance and Thermoregulation 10 Nutrition and Digestion 11 Hormones and Reproduction 12 Central Nervous System and Senses 13 Appendix Further Reading Index

Session 1 The importance of infant and young child feeding and recommended practices Session 2 The physiological basis of breastfeeding Session 3 Complementary feeding Session 4 Management and support of infant feeding in maternity facilities Session 5 Continuing support for infant and young child feeding Session 6 Appropriate feeding in exceptionally difficult circumstances Session 7 Management of breast conditions and other breastfeeding difficulties Session 8 Mother’s health Session 9 Policy, health system and community actions

This is an admirably concise and clear guide to fundamental concepts in physiology relevant to clinical practice. It covers all the body systems in an accessible style of presentation. Bulleted checklists and boxed information provide an easy overview and summary of the essentials. By concentrating on the core knowledge of physiology, it will serve as a useful revision aid for all doctors striving to achieve postgraduate qualification, and for anyone needing to refresh their knowledge base in the key elements of clinical physiology. The author’s own experience as an examiner at all levels has been distilled here for the benefit of postgraduate trainees and medical and nursing students. Dr Ashis Banerjee is Consultant in Emergency Medicine and serves as Examiner for those undertaking their MB, BS, MRCS and MFAEM examinations

I. Writing and Presentation 1. Typo and grammar mistake 2. Sentence and convention 3. Exercise and discussion II. Research Formulation 1. Definition before use 2. Research problem 3. Inadequacy of related work 4. Insight of your proposal 5. Exercise and discussion III. Experimentation 1. Questions and subjects 2. Experimental design 3. Threats to validity 4. Exercise and discussion

• 1.1 Water, national resources and environment 1.2 Water characteristic and quality of water 1.3 The Methods of Demineralization of Water 1.4 Waste Water 1.5 Surface Tension and Surface Absorption 1.6 Construction Characteristic and Solution Property of Tenside 1.7 Usually Employed Tenside and their Biodegradability • 1.7.1 Anionic Tenside • 1.7.2 Nonionic Tenside • 1.7.3 Cationic Tenside • amphoteric Tenside 1.8 Functional 1.9 Relation of Chemical Construction and Property of Surfactant

Chapter 1 Introduction to Computers and C++ Programming Chapter 2 C++ Basics Chapter 3 More Flow of Control Chapter 4 Procedural Abstraction and Functions That Return a Value Chapter 5 Functions for All Subtasks Chapter 6 I/O Streams as an Introduction to Objects and Classes Chapter 7 Arrays Chapter 8 Strings and Vectors Chapter 9 Pointers and Dynamic Arrays Chapter 10 Defining Classes Chapter 11 Friends, Overloaded Operators, and Arrays in Classes Chapter 12 Separate Compilation and Namespaces Chapter 13 Pointers and Linked Lists Chapter 14 Recursion Chapter 15 Inheritance Chapter 16 Exception Handling Chapter 17 Templates Chapter 18 Standard Template Library Appendices 1 C++ Keywords 2 Precedence of Operators 3 The ASCII Character Set 4 Some Library Functions 5 Inline Functions 6 Overloading the Array Index Square Brackets 7 The this Pointer 8 Overloading Operators as Member

8.1 Explore some of the emerging technologies that may impact analytics, business intelligence (BI), and decision support 8.2 Describe the emerging Internet of Things (IoT) phenomenon, potential applications, and the IoT ecosystem 8.3 Describe the current and future use of cloud computing in business analytics 8.4 Describe how geospatial and location-based analytics are assisting organizations 8.5 Describe the organizational impacts of analytics applications 8.6 List and describe the major ethical and legal issues of analytics implementation 8.7 Identify key characteristics of a successful data science professional

Chapter 6 Cytoplasmic matrix, Endomembrane system, Protein Sorting and membrane trafficking Learning objective 1. Compartmentalization in Eukaryotic Cells; 2. The structural and functional relationship among the ER, Golgi complexes, lysosomes and plasma membranes of eukaryotic cells; 3. The pathways of proteins targeting and sorting, and its mechanisms; 4. The ways of protein modifications and intracellular sites after they are synthesized; 5. Types of vesicle transport and their functions

UNIT I: Protein Structure and Function Chapter 1: Amino Acids Chapter 2: Structure of Proteins Chapter 3: Globular Proteins Chapter 4: Fibrous Proteins Chapter 5: Enzymes UNIT II: Intermediary Metabolism Chapter 6: Bioenergetics and Oxidative Phosphorylation Chapter 7: Introduction to Carbohydrates Chapter 8: Glycolysis Chapter 9: Tricarboxylic Acid Cycle Chapter 10: Gluconeogenesis Chapter 11: Glycogen Metabolism Chapter 12: Metabolism of Monosaccharides and Disaccharides Chapter 13: Pentose Phosphate Pathway and NADPH Chapter 14: Glycosaminoglycans, Proteoglycans, and Glycoproteins UNIT III: Lipid Metabolism Chapter 15: Metabolism of Dietary Lipids Chapter 16: Fatty Acid and Triacylglycerol Metabolism Chapter 17: Complex Lipid Metabolism Chapter 18: Cholesterol and Steroid Metabolism UNIT IV: Nitrogen Metabolism Chapter 19: Amino Acids: Disposal of Nitrogen Chapter 20: Amino Acid Degradation and Synthesis Chapter 21: Conversion of Amino Acids to Specialized Products Chapter 22: Nucle

6.1 Understand the applications of prescriptive analytics techniques in combination with reporting and predictive analytics 6.2 Understand the basic concepts of analytical decision modeling 6.3 Understand the concepts of analytical models for selected decision problems, including linear programming and simulation models for decision support 6.4 Describe how spreadsheets can be used for analytical modeling and solutions 6.5 Explain the basic concepts of optimization and when to use them 6.6 Describe how to structure a linear programming model 6.7 Explain what is meant by sensitivity analysis, what-if analysis, and goal seeking 6.8 Understand the concepts and applications of different types of simulation 6.9 Understand potential applications of discrete event simulation