shorter than the small intestine (in humans about 4.9 feet in length as compared with 22 - 25 feet for the small intestine) and has a smooth inner wall. (Britannica) The large intestine consists of the cecum‚ ascending‚ transverse‚ descending and sigmoid colon‚ rectum and anus. The longitudinal muscle of the muscularis externa is concentrated into 3 bands called teniae coli. These 3 bands of muscle form pouches (haustra) because they are shorter than the rest of the colon. The epithelium of the mucosa
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SCALP Layers:- * (S) Skin:- * Contains hair follicles which makes it hairy. * Has numerous sebaceous glands. * (C) Superficial fascia * Connects skin to the epicranial aponeurosis. * Provides an easy passage for blood vessels. * This layer is fibrous and dense in the middle and thin at the periphery. * Swelling in this part is not profuse but very painful. * Injury to the head till this layer causes profuse bleeding which can be stopped by
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|ANALYSIS OF VEHICLE OVERTAKING MANEUVER USING EMBEDDED SYSTEM IN KEIL SOFTWARE AND | |ALGORITHM USING NEURAL NETWORK | PROJECT REPORT Submitted by | K.DINESH | | N.DHARMARAJ | | R.KANNAN
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BIOS256Week1Lab1EXERCISE Mechanical Digestion in the Gastrointestinal Tract Directions: a. Click the Contents button. b. Open the Digestive System File. c. Click Animations. d. Click Mechanical Digestion in the Gastrointestinal Tract. Introduction 1. Define the gastrointestinal tract (GI). The GI tract is the stomach and intestine divided up into the upper and lower GI 2. Identify three mechanical digestion activities. a. Chewing b. Mixing food and saliva with
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IEEE 1999 International Conference on Power Electronicsand Drive Systems‚ PEDS’99‚ July 1999‚ Hong Kong. Accurate Prediction of Backup Time in an U P S and its Display on User Computer Monitor Screen Pratik Mukberjee‚ Biswajit Majumdar‚ FazaI k Talukdar‚ StUdentMember‚ IEEE Ashim GanguIy* and Sujit K. Biswas‚ Sr. Member‚ E E E Department of Electrid Engineerins JadavpurUmve.rsily‚ Calcutta 700032‚N I A . *TataConsultancyServices calartta700 091‚ INDJA E-maik p a i - u h r e @ t a l a rtkmkejebmi
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Computational Systems Biology Computational Systems Biology Lecture 3: Enzyme kinetics Tue 17 Jan 2006 with the collaboration of Luna De Ferrari 1 Images from: D. L. Nelson‚ Lehninger Principles of Biochemistry‚ IV Edition‚ W. H. Freeman ed. A. Cornish-Bowden Fundamentals of Enzyme Kinetics‚ Portland Press‚ 2004 A. Cornish-Bowden Enzyme Kinetics‚ IRL Press‚ 1988 Computational Systems Biology Summary: • • • • • • 2 Simple enzyme kinetics Steady-state rate equations
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ARTIFICIAL NUERAL NETWORKS IN ACCOUNTING Sri Lankan Gold Price Forecasting - Using Artificial Neural Networks (ANN) Abstract According to Dr Kennedy D. Gunawardene in 2009 The Artificial Neural Network is a collection of simple processors connected together and Each processor can only perform a very straight forward mathematical task‚ but large network of them has much greater capabilities and can do many things which one of its own can’t. The aim of this study is to find a model for forecasting
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BIOMETRICS – Vol. II - Statistical Methodology in Agriculture and Horticulture - A. Mead STATISTICAL METHODOLOGY IN AGRICULTURE AND HORTICULTURE A. Mead Warwick HRI‚ University of Warwick‚ U.K Keywords: Variability‚ experimental design‚ analysis of variance (ANOVA)‚ regression‚ generalized linear model (GLM)‚ analysis of deviance‚ restricted maximum likelihood (REML)‚ spatial data‚ precision agriculture‚ on-farm experimentation. Contents U SA NE M SC PL O E – C EO H AP LS TE S R S 1. Introduction
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Colon Cancer What is the disease? Colon and rectal cancer develop in the digestive tract‚ which is also called the gastrointestinal‚ or GI‚ tract. The digestive system processes food for energy and rids the body of solid waste matter (fecal matter or stool). Colon cancer and rectal cancer have many features in common. Sometimes they are referred to together as colorectal cancer. Over 95% of colorectal cancers are ad enocarcinomas. These are cancers of the glandular cells that line the inside
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3. The Back Propagation Algorithm Having established the basis of neural nets in the previous chapters‚ let’s now have a look at some practical networks‚ their applications and how they are trained. Many hundreds of Neural Network types have been proposed over the years. In fact‚ because Neural Nets are so widely studied (for example‚ by Computer Scientists‚ Electronic Engineers‚ Biologists and Psychologists)‚ they are given many different names. You’ll see them referred to as Artificial Neural
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