This document provides an overview of Epi Info, statistical software developed by the CDC for epidemiology. It discusses the software's history, beginning as an MS-DOS program in 1985. Modern versions are available for Windows, Android, iOS, and as web/cloud apps. The software allows users to create electronic surveys, enter data, and perform analyses including t-tests, regression, and analyses of complex survey data. It has been open source since 2008.
In this ppt the viewer will able to understand about SAS software. It is a statistical software suite developed by SAS Institute for data management. SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated. SAS was further developed in the 1980s and 1990s with the addition of new statistical procedures, additional components and the introduction of JMP. A point-and-click interface was added in version 9 in 2004. A social media analytics product was added in 2010.
• Portion explained:
• Components of SAS Software
• Origins of SAS Software
• Development of SAS Software
• Recent History of SAS Software
• Software products of SAS Software
• Adoption of SAS Software
• Application of SAS Software
various measures for the measurement of outcome such as incidence prevalence and other drug us measures are briefly discussed here with suitable examples and equations
breif notes on what is pharmacoepidemiology, why do we need pharmacoepidemiology, whats is its aim and its main applications, advantages and disadvantages
Critical evaluation of biomedical literature - clinical pharmacyShaistaSumayya
Reviewing the ‘Biomedical Literature’ poses a great challenge to the clinical professionals.
Evaluating a scientific article is a complex task.
Knowledge of the standard anatomy of an article and idiosyncrasy of various types of studies will assist the reader to review the ‘Biomedical Literature’ efficiently
Biomedical Literature includes critical appraisal of the following contents:
Title
Abstract
Introduction
Objective
Materials and Methods
Study Designs
Bias
Statistics
Results and Analysis
Discussion and Conclusion
References
Definition and scope of Pharmacoepidemiology ABUBAKRANSARI2
In these slides I shared the information of definition and scope of pharmacoepidemiology. Types of studies - cohort studies, cross-sectional studies etc.
In this ppt the viewer will able to understand about SAS software. It is a statistical software suite developed by SAS Institute for data management. SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated. SAS was further developed in the 1980s and 1990s with the addition of new statistical procedures, additional components and the introduction of JMP. A point-and-click interface was added in version 9 in 2004. A social media analytics product was added in 2010.
• Portion explained:
• Components of SAS Software
• Origins of SAS Software
• Development of SAS Software
• Recent History of SAS Software
• Software products of SAS Software
• Adoption of SAS Software
• Application of SAS Software
various measures for the measurement of outcome such as incidence prevalence and other drug us measures are briefly discussed here with suitable examples and equations
breif notes on what is pharmacoepidemiology, why do we need pharmacoepidemiology, whats is its aim and its main applications, advantages and disadvantages
Critical evaluation of biomedical literature - clinical pharmacyShaistaSumayya
Reviewing the ‘Biomedical Literature’ poses a great challenge to the clinical professionals.
Evaluating a scientific article is a complex task.
Knowledge of the standard anatomy of an article and idiosyncrasy of various types of studies will assist the reader to review the ‘Biomedical Literature’ efficiently
Biomedical Literature includes critical appraisal of the following contents:
Title
Abstract
Introduction
Objective
Materials and Methods
Study Designs
Bias
Statistics
Results and Analysis
Discussion and Conclusion
References
Definition and scope of Pharmacoepidemiology ABUBAKRANSARI2
In these slides I shared the information of definition and scope of pharmacoepidemiology. Types of studies - cohort studies, cross-sectional studies etc.
The concept about SAS software and it high end tools.
Stay connected for SAS programming Keywords.
Please not this uploaded ppt is not a copy right of any anonymous,this were created by Sushil Kasar for his basic learnings' and sharing Knowledge activities.
Regards,
Sushil & team.
Graphs(Biostatistics and Research Methodology) B.pharmacy(8th sem.)Pranjal Saxena
This slides contains the description about the Graphs(Histograms, Pie-Chart, Cubic Graph, Response surface Plot, Counter surface plot ) mainly Histograms with advantages, disadvantages and examples, Pie-chart with advantages, disadvantages and examples, Cubic Graph with examples, Response surface plot and Counter plot with examples and uses.
Nomograms and tabulations in design of dosage regimens pavithra vinayak
Nomograms and tabulations in the design of dosage regimens --- NOMOGRAM IN UREMIC PATIENTS: NOMOGRAM FOR RELATIONSHIP BETWEEN CREATININE CLEARANCE AND ELIMINATION RATE CONSTANT FOR FOUR DRUGS clinical pharmacokinetics and therapeutic drug monitoring ---fifth PharmD notes
Bayesian theory in population pharmacokinetics--
1) INTRODUCTION TO BAYESIAN THEORY
2)BAYESIAN PROBABILITY TO DOSING OF DRUGS
3)APPLICATIONS AND USES OF BAYESIAN THEORY IN APPLIED PHARMACOKINETICS:
therapeutic drug monitoring and clinical pharmacokinetics-fifth pharm d notes
A meta-analysis is the use of statistical methods to summaries the results of the studies. Meta-analyses are conducted to assess the strength of evidence present on a disease and treatment. The results of a meta-analysis can improve precision of estimates of effect, answer questions not posed by the individual studies, settle controversies arising from apparently conflicting studies, and generate new hypotheses. In particular, the examination of heterogeneity is vital to the development of new hypotheses.
An Efficient Online Offline Data Collection Software Solution for Creating Re...ijcseit
This article as part of an Enhanced Genetics Project assumes special significance in the light of emergence of electronic mode of data collection system. Pen and paper method of data collection although very familiar to field people, but is generates the errors and requires digitization and data cleaning. The software solution surveying is easier mode of ensuring uniformity in data collection, reducing errors and better storage and analysis of data. In this regard, this article gives a clearer picture of the digital tablet based data collection system employed part of the Enhanced Genetics Project across 49 selected Data Recorders (Data Enumerators) in Maharashtra, Uttar Pradesh, Jharkhand, Punjab, Odisha, Gujarat, Andhra Pradesh, Rajasthan, and Bihar. The manual outlines the processes to be fulfilled by the digital mobile based solution, the user interface involved and the software and hardware infrastructure to support such a platform independent system. In this project we have enrolled the 33,293 dairy animals and collecting there production, reproduction, body weight data, as well as, collecting the baseline & herd management information of that farm. This system increase Data Accuracy GPS (Global Positioning System) enabled data collection system for genomic evolution. This is very unique software solution developed for to collect the structured phenotype data of the dairy animals in Indian conditions on realtime basis. As well, show case the robust data collection system for the Genomic Selection for dairy animal’s initiative. This sub-system also focused on the various activities and operations related to molecular biological laboratory. In this software solution system the two major feedback systems for actively participation of the farmers were participation certificate and Graphical Animal Ranking system for the farmer and animal. The locational data collection with seamless interfacing with the user and the data repository for Genetic Improvement Data collection system. Data capture system was quite successful in gathering field phenotype data for Genetic Improvement Program in the complex dairy production system like India.
Big Data Handling Technologies ICCCS 2014_Love Arora _GNDU Love Arora
Big data came into existence when the traditional relational database systems were not able to handle the unstructured data (weblogs, videos, photos, social updates, human behaviour) generated today by organisation, social media, or from any other data generating source. Data that is so large in volume, so diverse in variety or moving with such velocity is called Big data. Analyzing Big Data is a challenging task as it involves large distributed file systems which should be fault tolerant, flexible and scalable. The technologies used by big data application to handle the massive data are Hadoop, Map Reduce, Apache Hive, No SQL and HPCC. These technologies handle massive amount of data in MB, PB, YB, ZB, KB, and TB.
In this research paper various technologies for handling big data along with the advantages and disadvantages of each technology for catering the problems in hand to deal the massive data has discussed.
The concept about SAS software and it high end tools.
Stay connected for SAS programming Keywords.
Please not this uploaded ppt is not a copy right of any anonymous,this were created by Sushil Kasar for his basic learnings' and sharing Knowledge activities.
Regards,
Sushil & team.
Graphs(Biostatistics and Research Methodology) B.pharmacy(8th sem.)Pranjal Saxena
This slides contains the description about the Graphs(Histograms, Pie-Chart, Cubic Graph, Response surface Plot, Counter surface plot ) mainly Histograms with advantages, disadvantages and examples, Pie-chart with advantages, disadvantages and examples, Cubic Graph with examples, Response surface plot and Counter plot with examples and uses.
Nomograms and tabulations in design of dosage regimens pavithra vinayak
Nomograms and tabulations in the design of dosage regimens --- NOMOGRAM IN UREMIC PATIENTS: NOMOGRAM FOR RELATIONSHIP BETWEEN CREATININE CLEARANCE AND ELIMINATION RATE CONSTANT FOR FOUR DRUGS clinical pharmacokinetics and therapeutic drug monitoring ---fifth PharmD notes
Bayesian theory in population pharmacokinetics--
1) INTRODUCTION TO BAYESIAN THEORY
2)BAYESIAN PROBABILITY TO DOSING OF DRUGS
3)APPLICATIONS AND USES OF BAYESIAN THEORY IN APPLIED PHARMACOKINETICS:
therapeutic drug monitoring and clinical pharmacokinetics-fifth pharm d notes
A meta-analysis is the use of statistical methods to summaries the results of the studies. Meta-analyses are conducted to assess the strength of evidence present on a disease and treatment. The results of a meta-analysis can improve precision of estimates of effect, answer questions not posed by the individual studies, settle controversies arising from apparently conflicting studies, and generate new hypotheses. In particular, the examination of heterogeneity is vital to the development of new hypotheses.
An Efficient Online Offline Data Collection Software Solution for Creating Re...ijcseit
This article as part of an Enhanced Genetics Project assumes special significance in the light of emergence of electronic mode of data collection system. Pen and paper method of data collection although very familiar to field people, but is generates the errors and requires digitization and data cleaning. The software solution surveying is easier mode of ensuring uniformity in data collection, reducing errors and better storage and analysis of data. In this regard, this article gives a clearer picture of the digital tablet based data collection system employed part of the Enhanced Genetics Project across 49 selected Data Recorders (Data Enumerators) in Maharashtra, Uttar Pradesh, Jharkhand, Punjab, Odisha, Gujarat, Andhra Pradesh, Rajasthan, and Bihar. The manual outlines the processes to be fulfilled by the digital mobile based solution, the user interface involved and the software and hardware infrastructure to support such a platform independent system. In this project we have enrolled the 33,293 dairy animals and collecting there production, reproduction, body weight data, as well as, collecting the baseline & herd management information of that farm. This system increase Data Accuracy GPS (Global Positioning System) enabled data collection system for genomic evolution. This is very unique software solution developed for to collect the structured phenotype data of the dairy animals in Indian conditions on realtime basis. As well, show case the robust data collection system for the Genomic Selection for dairy animal’s initiative. This sub-system also focused on the various activities and operations related to molecular biological laboratory. In this software solution system the two major feedback systems for actively participation of the farmers were participation certificate and Graphical Animal Ranking system for the farmer and animal. The locational data collection with seamless interfacing with the user and the data repository for Genetic Improvement Data collection system. Data capture system was quite successful in gathering field phenotype data for Genetic Improvement Program in the complex dairy production system like India.
Big Data Handling Technologies ICCCS 2014_Love Arora _GNDU Love Arora
Big data came into existence when the traditional relational database systems were not able to handle the unstructured data (weblogs, videos, photos, social updates, human behaviour) generated today by organisation, social media, or from any other data generating source. Data that is so large in volume, so diverse in variety or moving with such velocity is called Big data. Analyzing Big Data is a challenging task as it involves large distributed file systems which should be fault tolerant, flexible and scalable. The technologies used by big data application to handle the massive data are Hadoop, Map Reduce, Apache Hive, No SQL and HPCC. These technologies handle massive amount of data in MB, PB, YB, ZB, KB, and TB.
In this research paper various technologies for handling big data along with the advantages and disadvantages of each technology for catering the problems in hand to deal the massive data has discussed.
Enterprise systems in healthcare: leveraging what we know from other industr...CONFENIS 2012
Dr. Carol Brown - distinguished professor at Stevens Institute of Technology , The Howe School of Technology Management
enterprise systems in healthcare: leveraging what we know from other industries
Application of Excel and SPSS software for statistical analysis- Biostatistic...Himanshu Sharma
This slide contains B.Pharm Biostatistics and Research methodology 8th Sem. Unit-3 L2 topic- "Statistical Analysis using Software"
It contains topics:
1. MS Excel
2. SPSS
3. MiniTab
#StatisticalAnalysisusingMSExcel
#StatisticalAnalysisusingMiniTab
#StatisticalAnalysisusingSPSS
SRS for smart health care system,srs for health system,health management doc...AnilkumarSingh129
SRS(it stands for software requirement specification)which is usualy used in the software engineering field for present the view of software for the client.Basically it will devloped by the programer in the it field.In IT field SRS is very importent part of the software.
Topic:
Effective Visualizations that will aid in minimizing the spread of infectious diseases
Group members:
Lamar Munoz, Michael Brockenbrough, Neisha Sadhnani
Pure Culture Technique
Culture : Act of cultivating microorganisms or the microorganisms that are cultivated.
Mixed culture : more than one microorganism
Pure culture : containing a single species of organism.
Common isolation techniques:
1. Streak plate method
2. Pour plate method
3. Spread plate method
4. Roll tube method
The design of experiments (DOE, DOX, or experimental design) is the design of any task that aims to describe and explain the variation of information under conditions that are hypothesized to reflect the variation.
The term is generally associated with experiments in which the design introduces conditions that directly affect the variation, but may also refer to the design of quasi-experiments, in which natural conditions that influence the variation are selected for observation.
In its simplest form, an experiment aims at predicting the outcome by introducing a change of the preconditions, which is represented by one or more independent variables, also referred to as "input variables" or "predictor variables."
The change in one or more independent variables is generally hypothesized to result in a change in one or more dependent variables, also referred to as "output variables" or "response variables."
Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in 1972.
It began as a light version of OMNITAB 80, a statistical analysis program by NIST.
Statistical analysis software such as Minitab automates calculations and the creation of graphs, allowing the user to focus more on the analysis of data and the interpretation of results.
It is compatible with other Minitab, LLC software.
In this ppt the viewer will able to know about Graphs. Graph is defined as to create a diagram that shows a relationship between two or more things. A diagram showing the relationship of quantities, especially such a diagram in which lines, bars, or proportional areas represent how one quantity depends on or changes with another. Histogram is one type of graphical presentation of data obtained from any source. This is easy method to represent the data and quick understanding way. Histogram should be designed in various other way to reveal more complicated data in single sheet. These histogram having great importance in industrial and educational point of view. Different statistical software playing major role to show the results & reports in histograms in different organizations
Portion explained:
1. Introduction to Graphs
2. Types of Graphs
3. Histogram
4. Types of Histogram
5. Uniform Histogram
6. Bimodal Histogram
7. Symmetric Histogram
8. Probability Histogram
9. Histogram Example
In this ppt the viewer will able to know about PAPAIN. Papain is the dried and purified latex of the green fruits and leaves of Carica papaya L., belonging to family Caricaceae. The epicarp adheres to the orange-coloured, fleshy sarcocarp, which surrounds the central cavity. This cavity contains a mass of nearly black seeds. The plant is cultivated in Sri Lanka, Tanzania, Hawai, and Florida. The plant is 5–6 m in height bearing fruits of about 30 cm length and a weight up to 5 kg.
•
Portion explained:
1. Biological Source of Papain
2. Geographical Source of Papain
3. Preparation of Papain
4. Characteristics of Papain
5. Test of Papain
6. Chemical Constituents of Papain
7. Uses of Papain
Video link :
https://youtu.be/OdS0Yu_uPwE
In this ppt the viewer will able to know about Plagiarism. Plagiarism is the representation of another author's language, thoughts, ideas, or expressions as one's own original work. In educational contexts, there are differing definitions of plagiarism depending on the institution. Plagiarism is considered a violation of academic integrity and a breach of journalistic ethics. It is subject to sanctions such as penalties, suspension, expulsion from school or work, substantial fines and even incarceration. Recently, cases of "extreme plagiarism" have been identified in academia.
• .
Portion explained:
1. Plagiarism- A Malpractice
2. Introduction of Plagiarism
3. Etymology of Plagiarism
4. Is Plagiarism Criminal Act ?
5. Plagiarism academia and journalism
6. Definitions of Plagiarism
7. Forms of academic plagiarism
8. Sanctions for student plagiarism
9. Plagiarism education
10. Factors influencing students' decisions to plagiarize
11. Self-plagiarism
12. Factors that justify reuse
13. Organizational publications
Video Link is below :
https://youtu.be/23iaNNKmEeo
Description : In this ppt the viewer will able to know about Sources of Herbs. Herbs are obtained from different plant sources. Various herbs grow in different countries depend on their agro-climatic requirements. The unintentional adulterations may leads to loss of yields in raw plant materials. Proper authentic sources of herbs plays major role in herbal formulations. There are different names and sources of herbs world wide. The biological & Geographical sources of herbs should be clearly indicated in various herbs guide/manual. These herbs are parts of medicines & spices therefore it should be identified properly.
Portion explained:
1. Herbs
2. Herbs vs. Spices
3. Herbal Medicine
4. Herbs & its geographical Sources
5. Popular Herbs & Sources
6. Herbs & Sources
7. Top 10 Herbs
8. Examples of herbs
9. Nature's 9 Most Powerful Medicinal Plants
10. Different Important herbs
11. Flaxseeds
12. Ginkgo biloba
13. Spirulina
14. Ginseng
15. Garlic organosulphur compounds
16. Tea catechins
17. Citrus limonoids
18. Soya products
19. Tomato lycopenes
20. Momordica charantia
21. Turmeric curcuminoids
22. Black cohosh
23. Fenugreek
In this ppt the viewer will able to know about PEPSIN Enzyme. It is the enzyme prepared from the mucous membrane of the stomach of various animals like pig, sheep, or calf. The commonly used species of pig is Sus scrofa Linn, belonging to family Suidae. The stomach consists of an outer muscular layer and an inner mucous layer. The inner surface is covered with a single layer of epithelial cells which also lines the piths present on them. The piths are about 0.2 mm in diameter, and each pith has two to three narrow tubular ducts opening at the base. The epithelial layer is made of either the parietal cell or the central cell. The central cells are mainly covered with almost cubical shape and secrete pepsinogen and rennin zymogen, whereas the parietal cells are round or oval shaped cells, and they secrete the hydrochloric acid to activate the zymogen to produce rennin and pepsin.
•
Portion explained:
Biological Source of Diastase Enzyme
Preparation of Diastase Enzyme
Description of Diastase Enzyme
Uses of Diastase Enzyme
In this ppt the viewer will able to know about DIASTASE Enzyme. It is an amylolytic enzymes present in the saliva (salivary diastase or ptyalin and pancreatic diastase or amylopsin) found in the digestive tract of animals and also in malt extract. Diastase hydrolyses starch, glycogen and dextrin to form in all three instances glucose, maltose, and the limit-dextrin. Salivary amylase is known as ptyalin; although humans have this enzyme in their saliva, some mammals, such as horses, dogs, and cats, do not. Ptyalin begins polysaccharide digestion in the mouth; the process is completed in the small intestine by the pancreatic amylase, sometimes called amylopsin. The amylase of malt digests barley starch to the disaccharides that are attacked by yeast in the fermentation process.
Portion explained:
1. Biological Source of Diastase Enzyme
2. Description of Diastase Enzyme
3. Uses of Diastase Enzyme
In this ppt the viewer will able to know about Types of Experimental Design. During the research design what kind of experimental design is applicable? Why experimental design needed in experimental research. Experimental research is research conducted with a scientific approach using two sets of variables. The first set acts as a constant, which you use to measure the differences of the second set. (Example: Temperature & Time in reactor)
Portion explained:
1. Definition of Experimental research
2. Situations to conduct Experimental Research
3. Types of experimental research design
4. Pre-experimental research design
5. True experimental research design
6. Quasi-experimental research design
7. Advantages of experimental research
In this ppt the viewer will able to know about Herbal Drug Preparation. An herb is a plant or plant part used for its scent, flavor, or therapeutic properties. Herbal medicines are one type of dietary supplement. They are sold as tablets, capsules, powders, teas, extracts, and fresh or dried plants. Dosage forms are the means by which drug molecules or plant parts are delivered to sites of action within the body. The routes for which herbal dosage forms may be administered include oral, rectal, topical, parenteral, respiratory, nasal, ophthalmic and otic. Categorization of finished herbal products into dosage forms will help to define specific protocols for quality control and stability testing. Herbal medicinal products may be defined as finished, labelled medicinal products that contain as active ingredients aerial or underground parts of plants, or other plant material, or combinations thereof, whether in the crude state or as plant preparations.
Portion explained:
1. Herbal Drug Preparation
2. Herbal Medicine
3. Dosage forms of Herbal Medicinal Products
4. Decoctions
5. Tinctures
6. Herbal Glycerites
7. Herbal alcoholic beverages (bitters/wines)
8. Oxymels
9. Herbal capsules
10. Herbal tablets
11. Herbal ointments
12. Herbal balms
13. Herbal creams
14. Herbal oils
15. Herbal soaps
16. Herbal pastes
17. Herbal teas
18. Herbal powders
19. Herbal suppositories
20. Herbal liniments
21. Herbal baths
22. Herbal lozenges
In this ppt the viewer will able to know about MALT EXTRACT . Malt extract is the extract obtained from the dried barley grains of one or more varieties of Hordeum vulgare Linne, family Poaceae.
Portion explained:
1. Synonyms of malt extract
2. Biological Source of malt extract
3. Geographical Sources of of malt extract
4. Cultivation of malt extract
5. Collection of malt extract
6. Preparation of malt extract
7. Chemical constituents of malt extract
8. Uses of malt extract
9. Hordeum vulgare Linne
10. Poaceae
11. Diastase
12. Barley
13. cereals
In this ppt the viewer will able to know about designing of experiments. How experimental design helps to improve the quality & purity of the products. In this example, our experimental design is a planned experiment that is used to determine how reactor temperature and residence time affect purity so we can find the optimum operating conditions. Experimental design is needed to rectify the error in materials, methods & machines.
Portion explained:
1. Introduction to the problem
2. EXPERIMENTAL DESIGN TERMINOLOGY
3. EXPERIMENTAL DESIGN DATA
4. EFFECTS AND MAIN EFFECTS
5. INTERACTIONS BETWEEN FACTORS
6. ARE THE EFFECTS, MAIN EFFECTS AND INTERACTIONS SIGNIFICANT?
In this ppt the viewer will able to know about different methods for the protein analysis. Proteins are long chain of amino acids and there are specific test also required depends on the nature and structure of proteins. As the name suggest amino acids are organic compounds that contain amino and carboxyl groups. The R- in the formulas stands for different chemical groups (may be aliphatic, aromatic or heterocycylic) and this determines the characteristics of the amino acids. The colour tests have frequently been used for qualitative detection of amino acids. Not all amino acids contain the same reactive groups. For this reason the various colour tests yield reactions varying in intensity and type of colour according to the nature of groups contained in the particular amino acid under examination.
• Portion explained:
• Detection of Proteins
1. Millon’s reaction
2. Millon-Nasse reaction
3. Xanthoproteic reaction
4. Hopkins-Cole reaction
5. Biuret test
6. Ninhydrin reaction
7. Folin test
8. Sakaguchi test
9. Nitroprusside test
10. Spectrophometric method
In this PPT the viewer will able to understand the necessity of research. Why it is required, how it is going to helpful to other scholar, scientist, businessman, film maker, industrialist and public. The main purposes of research are to inform action, gather evidence for theories, and contribute to developing knowledge in a field of study.
Portion explained:
Research Is Necessary and Valuable:
1. It's a tool for building knowledge and facilitating learning.
2. It's a means to understand issues and increase public awareness.
3. It helps us succeed in business.
4. It allows us to disprove lies and support truths.
5. It is a means to find, gauge, and seize opportunities.
6. It promotes a love of and confidence in reading, writing, analyzing, and sharing valuable information.
7. It provides nourishment and exercise for the mind.
Herbs as Plant Materials : In this video the viewers will come to know about herbs as plant materials. Herbs are flowering plants whose stems grow above ground and are not woody. They have weak and soft stems. They are plants which are known for medicinal value, flower scent, etc. Any plant with leaves, seeds, or flowers used for flavouring, food, medicine, or perfume. Any seed-bearing plant that does not have a woody stem and dies down to the ground after flowering.
•
Portion explained:
1. Herbs as Plant Materials
2. Definition of herbs
3. What is herbal medicine?
4. Herbal Medicine
5. History of Herbal Medicine
6. Modern herbal medicine
7. Herbal preparations
• Description: In this video the viewers will come to know about different mode of classification of proteins. Proteins are classified based on their Solubility and composition, Function, Shape & size.
Portion explained:
Classification based on solubility and composition
Simple proteins
1. Albumins
2. Globulins
3. Prolamins
4. Glutelins
5. Histones
6. Protamines
7. Albuminoids
ii. Conjugated or compound proteins
1. Nucleoproteins
2. Mucoproteins
3. Chromoproteins
4. Lipoproteins
5. Metalloproteins
6. Phosphoproteins
B. Classification of proteins based on function
1. Catalytic proteins – Enzymes
2. Regulatory proteins – Hormones
3. Protective proteins – Antibodies
4. Storage proteins
5. Transport proteins
6. Toxic proteins
7. Structural proteins
8. Contractile proteins
9. Secretary proteins
10. Exotic proteins
C. Classification based on size and shape
In this ppt the viewers will come to know about Research basic idea. Research is actually investigation by using scientific procedures by searching again and again to find out the truth. There are mainly two typrs of research observational & Experimental Research.
Portion explained:
1. Introduction to Research
2. Identify the problem in research
3. Literature Review for a Research
4. Plan Research Design
5. Determining the Sample Size
6. Ethical Committee Approval
7. Pilot study & Main Study
8. Presentation & Analysis of results
9. Hypothesis Testing
10. Generalization interpretation
11. Report Writing
12. Publication
13. Write the Protocol
In this video the viewers will come to know about Proteins that is one of the ESSENTIAL COMPONENT in plant and animal. A protein is a complex, high molecular weight organic compound that consists of amino acids joined by peptide bonds. Here the Definition, meaning, configuration, nature, role and structure of proteins has been discussed in brief.
Portion explained:
1. Definition of proteins
2. Word Meaning of Protein
3. Sources of Protein
4. Configuration of Protein
6. Essential Amino Acids
7. Structural details of Protein
8. Nature of Protein
9. Role of protein in body
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
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An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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2. Introduction
• Epi Info is statistical software for epidemiology developed
by Centers for Disease Control and Prevention (CDC)
in Atlanta, Georgia (US).
• Epi Info has been in existence for over 20 years and is
currently available for Microsoft Windows, Android and iOS,
along with a web and cloud version.
• The program allows for electronic survey creation, data
entry, and analysis.
• Within the analysis module, analytic routines include t-tests,
ANOVA, nonparametric statistics, cross tabulations and
stratification with estimates of odds ratios, risk ratios, and
risk differences, logistic regression (conditional and
unconditional), survival analysis (Kaplan Meier and Cox
proportional hazard), and analysis of complex survey data.
• The software is an open-source project with limited support.
3. History
• Epi Info has been in development for over 20 years. The first version, Epi
Info 1, was originally implemented by Jeff Dean as an unpaid intern in high
schoo.
• It was an MS-DOS batch file on 5.25" floppy disks and released in
1985. MS-DOS continued to be the only supported operating system until
the release of Epi Info 2000, which was written in Microsoft's Visual Basic
and became the first Windows-compatible version.
• The last MS-DOS version was Epi Info 6.04d released in January 2001.
• Epi Info 2000 changed the way data was stored by adopting the Microsoft
Access database format, rather than continuing to use the plain-text file
format from the MS-DOS versions.
• Following the release of Epi Info 2000 was Epi Info 2002, then Epi Info
version 3.0, and finally the open-source Epi Info 7. Epi Info 7 was made
open source on November 13, 2008 when its source code was uploaded
to Codeplex for the first time.
• The 7 series is the presently maintained Epi Info product line. Note that
Epi Info 3 for Windows is different from Epi Info 3 for MS-DOS even though
they share the same version number.
• After Microsoft shut down Codeplex in December 2017, the repository of
Epi Info migrated to GitHub.
4. Features
• The most important functions of Epi Info are the ability to rapidly develop a
questionnaire, customize the data entry process, quickly enter data into that
questionnaire, and then analyze the data.
• For epidemiological uses, such as outbreak investigations, being able to rapidly
create an electronic data entry screen and then do immediate analysis on the
collected data can save considerable amounts of time versus using paper surveys.
• Epi Info uses three distinct modules to accomplish these tasks: Form Designer,
Enter, and Analysis.
• Electronic questionnaires are created in the Form Designer module. Individual
questions can be placed anywhere on a page and each form may contain multiple
pages.
• The user defines both the question's prompt and the format of the data that is to
be collected. Data types include numbers, text strings, dates, times, and Boolean.
Users can also create drop-down lists, code tables, and comment legal fields.
• One of the more powerful features of Form Designer is the ability to program
intelligence into a form through a feature called "check code".
• Check code allows for certain events to occur depending on what action a data
entry person has taken.
• For example, if the data entry person types "Male" into a question on gender, any
questions relating to pregnancy might then be hidden or disabled.
• Skip patterns, message boxes, and math operations are also available. Relational
database modeling is supported, as users may link their form to any number of
other forms in their database.
5. • The "Classic Analysis" module is where users
analyze their data. Import and export functions
exist that allow for data to be converted between
plain-text, CSV, Microsoft Excel, Microsoft Access,
MySQL, Microsoft SQL Server, and other formats.
• Many advanced statistical routines are provided,
such as t-tests, ANOVA, nonparametric statistics,
cross tabulations and stratification with estimates
of odds ratios, risk ratios, and risk differences,
logistic regression (conditional and
unconditional), survival analysis (Kaplan Meier
and Cox proportional hazard), and analysis of
complex survey data.
6. • Older versions of Epi Info contained a Report module and a Menu module.
The Report module allowed the user to edit and format the raw output
from other Epi Info modules into presentable documents.
• The menu module allowed for the editing and re-arranging of the basic Epi
Info menu structure.
• This module was powerful enough that several applications have been
built off of it (in versions of Epi Info prior to version 7), including
the National Electronic Telecommunications System for
Surveillance (NETSS) for Epi Info 6.
• Unlike the other modules, the menu module does not have a design-mode
user interface, but instead resides in a .mnu file whose scripts must be
edited manually.
• In Epi Info 7, the Visual Dashboard assumes some of the basic functions of
the report module.
• Epi Info 7 includes a number of nutritional anthropometric functions that
can assist in recording and evaluating measurements of length, stature,
weight, head circumference, and arm circumference for children and
adolescents.
• They can be used to calculate percentiles and number of standard
deviations from the mean (Z-scores) using the CDC/WHO 1978 growth
reference, CDC 2000 growth reference, the WHO Child Growth Reference,
or the WHO Reference 2007.
• It replaces the NutStat and EpiNut modules found in prior versions of Epi
Info.
7. Release history
Series Version Operating
System
Support
Release date Significant changes
Epi Info for DOS
1 MS-DOS
1 Sep 1985
Epi Info for DOS
2 MS-DOS
20 Aug 1986
Epi Info 2000 2000
1.1.2
Windows 9x,
NT 4.0, 2000
2 Nov 2001
First Windows-compatible
version of Epi Info.
Epi Info 3
3.01
Windows 9x,
NT 4.0, 2000,
XP
3 Nov 2003
3.3
Windows 98,
NT 4.0, 2000,
XP
5 Oct 2004
Windows 95 no longer
supported, case-based
mapping functionality added to
the Analysis MAP command
Epi Info 7 7.0.5
(Alpha)
Windows XP,
Vista, 7,
Ubuntu
5 Jan 2009 Programming language
changed to Visual C# .NET;
MySQL and SQL Server
database