"Data table 2 connective tissues" Essays and Research Papers

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    Connective Tissue

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    Connective Tissue Characteristics of connective tissues • Extracellular matrix separates cells • Most widely variable of tissues • Many varied functions • Common (mesenchyme) origin • Degrees of vascularity Functions • Binding • Suport • Protection • Insulation • Transport Structural Elements • Fibers ⁃ Collagen (white) fibres ⁃ Elastin (yellow) fibers ⁃ Reticular fibers • Ground substance ⁃ Amorphous material fills space between cells and contains fibers

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    connective tissues

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    Connective Tissue As the name implies‚ connective tissue serves a "connecting" function. It supports and binds other tissues. Unlike epithelial tissueconnective tissue typically has cells scattered throughout an extracellular matrix. Loose Connective Tissue In vertebrates‚ the most common type of connective tissue is loose connective tissue. It holds organs in place and attaches epithelial tissue to other underlying tissues. Loose connective tissue is named based on the "weave" and type

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    Connective Tissue Nevi

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    Background:  Connective tissue nevi (CTN) are hamartomas in which components of the dermis (collagen‚ elastin‚ or glycosaminoglycans) are altered.  Appear as firm‚ asymptomatic‚ skin-colored plaques composed of closely grouped papules with an orange peel-like surface texture.  Previous classifications made based on which dermal component was found in excess‚ genetic patterns of inheritance‚ and +/- organ involvement fail to explain all reported cases. o Example: Buschke-Ollendorff syndrome

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    diagrams if needed‚ and data tables that should be addressed in a formal lab report. The intent is to facilitate students’ writing of lab reports by providing this information in an editable file which can be sent to an instructor. Purpose What is the purpose of this exercise? Are there any safety concerns associated with this exercise? If so‚ list what they are and what precautions should be taken. Exercise 1: Epithelial Tissue |

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    Notes on histology Histology Lecture 1 Histology is the study of tissues: in our case‚ it means study of tissues which make up the human body. Tissue is defined as a group of cells which perform a common function. All the cells in a given tissue are not necessarily identical or similar e.g. blood is a type of connective tissue but it has many different types of cells. However‚ tissue also contains two other components i.e. ground substance (or matrix) and fibres. Despite the complexity of

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    Comino LAB REPORT 4 CONNECTIVE TISSUE (SPECIALIZED) I. Abstract In this experiment‚ identification and classification of different types of connective tissue was performed. Also‚ cells and extracellular matrix was to be identified in them. For this‚ different already prepared slides were chosen and observed under the microscope to then identify the different parts. II. Introduction Apart from the bone and cartilage‚ the rest of the specialized connective tissues are divided into 4:

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    implies‚ connective tissue serves a "connecting" function. It supports and binds other tissues in the body. Unlike epithelial which has cells that are closely packed together‚ connective tissue typically has cells scattered throughout an extracellular matrix of fibrous proteins and glycoproteins attached to a basement membrane. Loose Connective Tissue In vertebrates‚ the most common type of connective tissue is loose connective tissue. It holds organs in place and attaches epithelial tissue to other

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    Volume and Data Table

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    Use the balance to determine the mass of the rectangular solid. Record the mass to the nearest 0.01 g in the data table. Volume: Use the metric ruler to measure the length‚ width‚ and height of the rectangular solid. Record these measurements to the nearest 0.1 cm in the data table. Calculate the volume using the following formula: Volume (cm3) = length (cm) x width (cm) x height (cm)

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    data table disease

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    DATA TABLES: DISEASE LESSON 1 Lesson 1: Step 1 Population Number Starting Number of Contagious People Sick Days Reported Contagious Contagion Rate Prediction 200 5 60 5 0.5 Simulation Run 1 600 3 51 0 0.1 Simulation Run 2 600 3 85 0 1.0 Simulation Run 3 600 3 28 0 0.0 Lesson 1: Step 2 Population Number Population Density Starting Number of Contagious People Sick Days Reported Contagious Contagion Rate Prediction 1 (low) 125 Low 5 90 250 1.5

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    Data Table: Diseases

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    DATA TABLES: DISEASE LESSON 1 Lesson 1: Step 1 Population Number Starting Number of Contagious People Sick Days Reported Contagious Contagion Rate Prediction 200 5 60 5 5 Simulation Run 1 600 3 51 0 0 Simulation Run 2 600 3 85 0 1 Simulation Run 3 600 3 28 0 0 Lesson 1: Step 2 Population Number Population Density Starting Number of Contagious People Sick Days Reported Contagious Contagion Rate Prediction 1 (low) 125 Low 5 90 250 1.5 Simulation Run 1 200 Low 3 340 2 1.7 Simulation

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