'Residual capacity' presentation slideshows

CS38 Introduction to Algorithms

CS38 Introduction to Algorithms. Lecture 12 May 8, 2014. Outline. Network flow finishing capacity-scaling analysis Edmonds-Karp, blocking-flow implementation unit-capacity simple graphs bipartite matching edge-disjoint paths assignment problem * slides from Kevin Wayne.

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2012 Anatomy practice test

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RESPIRATORY FAILURE AND MECHANICAL VENTILATION

RESPIRATORY FAILURE AND MECHANICAL VENTILATION. ALOK SINHA Department of Medicine Manipal College of Medical Sciences Pokhara , Nepal.

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An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 26, NO. 9, SEPTEMBER 2004. An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision. Yuri Boykov , Member, IEEE Vladimir Kolmogorov , Member, IEEE. Guan-Yu Liu. Outline. Introduction

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The Respiratory System

The Respiratory System. Functions. Exchange of gases (O 2 & CO 2 ) between environment and tissues. It plays a role in the regulation of pH of the extracellular fluid. Mechanics of breathing. Anatomical consideration: The lungs Thoracic cage (muscles, ribs and vertebrae) Diaphragm

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Ventilation: the Mechanics of Breathing

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Lung volumes & Lung Capacities

Lung volumes & Lung Capacities. By Dr . Mudassar Ali Roomi (MBBS, M.Phil. ) Assist. Prof. Physiology. LUNG VOLUMES AND CAPACITIES. SPIROMETER. 4 Lung Volumes. TV (Tidal Volume) = 500 ml I.R.V ( Inspiratory Reserve Volume) = 3000 ml = 3 L

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THE AUSTRALIAN NATIONAL UNIVERSITY

THE AUSTRALIAN NATIONAL UNIVERSITY. Pulmonary Pressures and Volumes Christian Stricker Associate Professor for Systems Physiology ANUMS/JCSMR - ANU Christian.Stricker@anu.edu.au http:// stricker.jcsmr.anu.edu.au/LungPV.pptx. Aims. The students should

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Joel R. Lopes Jr., M.D. Director Trauma/Critical Care Anesthesia Department Of Anesthesiology Boston University Medical

Joel R. Lopes Jr., M.D. Director Trauma/Critical Care Anesthesia Department Of Anesthesiology Boston University Medical Center. Mechanical Properties of the respiratory System in Morbidly Obese patients. Decreased Functional residual capacity Increased Intra-abdominal Pressure

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Competitive and Deterministic Embeddings of Virtual Networks

Competitive and Deterministic Embeddings of Virtual Networks. Gregor Schaffrath & Stefan Schmid Deutsche Telekom Labs, TU Berlin. Guy Even & Moti Medina EE Tel-Aviv University. Virtualization. A method for providing an abstraction of a logical entity over a physical one.

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EARTH QUAKE & Hazard Mitigation

EARTH QUAKE & Hazard Mitigation . Earthquakes can be one of the most devastating natural disasters How Does an Earthquake Happen? Energy is Released .

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Experiment 8

Experiment 8. Batteries. Types of Batteries. 1) Primary ( unrechargeable ). Reaction irreversible. 2) Secondary (rechargeable). Reaction reversible. How does a battery work?. Positive Plate. Negative Plate. Acidic or alkaline electrolyte. All forms a cell . Battery Terminology.

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Network Optimization Models: Maximum Flow Problems

Network Optimization Models: Maximum Flow Problems. In this handout: The problem statement Solving by linear programming Augmenting path algorithm. A. 4. 4. 6. B. O. D. 5. 5. T. 4. 4. 5. C. Maximum Flow Problem. Given : Directed graph G=(V, E),

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Avoided Cost and E3 Calculator Workshops

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Ford-Fulkerson algorithm for the Maximum F low problem

Ford-Fulkerson algorithm for the Maximum F low problem. Maximum Flow Problem Given a connected graph G=(V,E), a capacity c:E->R+, and two nodes s and t, find a maximum s-t flow. Minimum Cut Problem

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7. Ford-Fulkerson Demo

7. Ford-Fulkerson Demo. Ford-Fulkerson Algorithm. 0. flow. 2. 4. 4. capacity. G:. 0. 0. 0. 6. 0. 8. 10. 10. 2. 0. 0. 0. 0. 10. s. 3. 5. t. 10. 9. Flow value = 0. 8. X. 8. X. 8. X. Ford-Fulkerson Algorithm. 0. flow. 2. 4. 4. capacity. G:. 0. 0. 0. 6.

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