52251Pathophysiology for the health professions : 3rd ed. (CD)
This popular text focuses on major disorders and other selected disorders to provide a concise, easy-to-understand introduction to the fundamentals. Understanding this basic information enables students to apply that knowledge to other disorders that will be encountered in subsequent courses and clinical practice.
52252Pathophysiology for the health professions : 3rd ed. (wth CD)
This popular text focuses on major disorders and other selected disorders to provide a concise, easy-to-understand introduction to the fundamentals. Understanding this basic information enables students to apply that knowledge to other disorders that will be encountered in subsequent courses and clinical practice.
52253Pathophysiology for the health-related professions
Section 1: Basic concepts of disease processes. introduction to pathophysiology. inflammation and healing. abnormal immune responses. infection. neoplasms. fluid, electrolyte and acid-based imbalances. Section 2: Altered status/growth and development. congenital and genetic disorders. health problems associated with adolescence. effects of pregnancy. aging and disease processes. effects of immobility. the influence of stress. pain. substance abuse. environmental hazards. Section 3: Pathophysiology of the systems. cardiovascular and lymphatic disorders. respiratory disorders. digestive system disorders. urinary system disorders. neurological disorders. endocrine disorders. musculoskeletal disorders. skin disorders. reproductive system disorders. references. glossary.
52254Pathophysiology of disease : an introduction to clinical medicine : 5th ed.
This trusted guide provides medical students with the link between basic science and clinical medicine. This concise text covers all the essentials in pathophysiology and 89 case studies allow students to apply their knowledge to actual clinical situations.
52255Pathophysiology of heart disease : a collaborative project of medical students and faculty : 4th ed.
This edition provides updated coverage of pathogenesis of atherosclerosis, pathophysiology of acute coronary syndromes, mechanisms of heart failure, molecular mechanisms of dysrhythmias, the genomic basis of cardiomyopathies and congenital heart disease, and pharmacology.
52256Patient assessment in pharmacy practice: 2nd ed.
This text offers a practical approach to patient assessment skills in pharmacy practice. The book covers basic anatomy and physiology, pathology, and system assessment through interview, communication, and some physical exams, to help pharmacists and pharmacy students correlate signs and symptoms of possible diseases.
52257Pattern design /anglais
Contents: Introduction 1. Specific; generic and multi-floral; Vegetal forms 2. Specific; Menagerie; Mythical Creatures 3. Linear; Curved; Grids and Knots; Composite 4. The Huma Figure; Scenic; Travel; Household; Work; Play; Costume 5. Free Form; Optical; Camouflage; Scientific; Psychedelic; Signs and Symbols Features on Designers.
52258Pattern making : techniques for beginners
Pattern making, patternmaking, pattern cutting, or flat patterning, are all words that describe the process of creating a two-dimensional diagram or template of a garment, drafted on a flat surface from either body measurements or transferred from a draped muslin. Learn the basics of pattern making in a series of lessons, from drafting a basic straight sleeve to collars, skirts, and pants. You will learn to produce a complete set of slopers, used as the foundation or template for creating design variations, which you will be able to use as the basis for your own designs in the future.
52259Pattern recognition
Part 1: Character recognition; Part 2: Pattern perception and analysis; Part 3: Statistical classification procedures.
52260Pattern recognition and machine learning
Chapter 1: Introduction. Chapter 2: Probability distributions. Chapter 3: Linear model for regression. Chapter 4: Linear models for classification. Chapter 5: Neural networks. Chapter 6. Kernel methods. Chapter 7: Sparse Kernel machines. Chapter 8: Graphical models. Chapter 9: Mixture models and EM. Chapter 10. Approximate inference. Chapter 11: Sampling methods. Chapter 12: Continuous laten variables. Chapter 13. equential data. Chapter 14: Combining models.





