Vital Statistics Rapid Release, Number 015 (July 2021)
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Glossary - Cellbiology
1 Glossary - Cellbiology Blotting: (Blot Analysis) Widely used biochemical technique for detecting the presence of specific macromolecules (proteins, mRNAs, or DNA sequences) in a mixture. A sample first is separated on an agarose or polyacrylamide gel usually under denaturing conditions; the separated components are transferred (blotting) to a nitrocellulose sheet, which is exposed to a radiolabeled molecule that specifically binds to the macromolecule of interest, and then subjected to autoradiography. Northern B.: mRNAs are detected with a complementary DNA; Southern B.: DNA restriction fragments are detected with complementary nucleotide sequences; Western B.: Proteins are detected by specific antibodies. Cell: The fundamental unit of living organisms. Cells are bounded by a lipid-containing plasma membrane, containing the central nucleus, and the cytoplasm. Cells are generally capable of independent reproduction. More complex cells like Eukaryotes have various compartments (organelles) where special tasks essential for the survival of the cell take place. Cytoplasm: Viscous contents of a cell that are contained within the plasma membrane but, in eukaryotic cells, outside the nucleus. The part of the cytoplasm not contained in any organelle is called the Cytosol. Cytoskeleton: (Gk. ) Three dimensional network of fibrous elements, allowing precisely regulated movements of cell parts, transport organelles, and help to maintain a cell’s shape. • Actin filament: (Microfilaments) Ubiquitous eukaryotic cytoskeletal proteins (one end is attached to the cell-cortex) of two “twisted“ actin monomers; are important in the structural support and movement of cells. Each actin filament (F-actin) consists of two strands of globular subunits (G-Actin) wrapped around each other to form a polarized unit (high ionic cytoplasm lead to the formation of AF, whereas low ion-concentration disassembles AF). -
Projections of Education Statistics to 2022 Forty-First Edition
Projections of Education Statistics to 2022 Forty-first Edition 20192019 20212021 20182018 20202020 20222022 NCES 2014-051 U.S. DEPARTMENT OF EDUCATION Projections of Education Statistics to 2022 Forty-first Edition FEBRUARY 2014 William J. Hussar National Center for Education Statistics Tabitha M. Bailey IHS Global Insight NCES 2014-051 U.S. DEPARTMENT OF EDUCATION U.S. Department of Education Arne Duncan Secretary Institute of Education Sciences John Q. Easton Director National Center for Education Statistics John Q. Easton Acting Commissioner The National Center for Education Statistics (NCES) is the primary federal entity for collecting, analyzing, and reporting data related to education in the United States and other nations. It fulfills a congressional mandate to collect, collate, analyze, and report full and complete statistics on the condition of education in the United States; conduct and publish reports and specialized analyses of the meaning and significance of such statistics; assist state and local education agencies in improving their statistical systems; and review and report on education activities in foreign countries. NCES activities are designed to address high-priority education data needs; provide consistent, reliable, complete, and accurate indicators of education status and trends; and report timely, useful, and high-quality data to the U.S. Department of Education, the Congress, the states, other education policymakers, practitioners, data users, and the general public. Unless specifically noted, all information contained herein is in the public domain. We strive to make our products available in a variety of formats and in language that is appropriate to a variety of audiences. You, as our customer, are the best judge of our success in communicating information effectively. -
Use of Statistical Tables
TUTORIAL | SCOPE USE OF STATISTICAL TABLES Lucy Radford, Jenny V Freeman and Stephen J Walters introduce three important statistical distributions: the standard Normal, t and Chi-squared distributions PREVIOUS TUTORIALS HAVE LOOKED at hypothesis testing1 and basic statistical tests.2–4 As part of the process of statistical hypothesis testing, a test statistic is calculated and compared to a hypothesised critical value and this is used to obtain a P- value. This P-value is then used to decide whether the study results are statistically significant or not. It will explain how statistical tables are used to link test statistics to P-values. This tutorial introduces tables for three important statistical distributions (the TABLE 1. Extract from two-tailed standard Normal, t and Chi-squared standard Normal table. Values distributions) and explains how to use tabulated are P-values corresponding them with the help of some simple to particular cut-offs and are for z examples. values calculated to two decimal places. STANDARD NORMAL DISTRIBUTION TABLE 1 The Normal distribution is widely used in statistics and has been discussed in z 0.00 0.01 0.02 0.03 0.050.04 0.05 0.06 0.07 0.08 0.09 detail previously.5 As the mean of a Normally distributed variable can take 0.00 1.0000 0.9920 0.9840 0.9761 0.9681 0.9601 0.9522 0.9442 0.9362 0.9283 any value (−∞ to ∞) and the standard 0.10 0.9203 0.9124 0.9045 0.8966 0.8887 0.8808 0.8729 0.8650 0.8572 0.8493 deviation any positive value (0 to ∞), 0.20 0.8415 0.8337 0.8259 0.8181 0.8103 0.8206 0.7949 0.7872 0.7795 0.7718 there are an infinite number of possible 0.30 0.7642 0.7566 0.7490 0.7414 0.7339 0.7263 0.7188 0.7114 0.7039 0.6965 Normal distributions. -
Solar System Simulator NASA SUMMER of INNOVATION
National Aeronautics and Space Administration Solar System Simulator NASA SUMMER OF INNOVATION UNIT Earth and Space Science – Year of the Solar System DESCRIPTION This online software generates views of GRADE LEVELS the bodies of our planetary system at any th th 7 – 9 date from any artificial or natural point of observation. CONNECTION TO CURRICULUM Science and technology OBJECTIVES TEACHER PREPARATION TIME Students will: 1 hour • Investigate how to determine the relative position of the sun, LESSON TIME NEEDED planets, and a number of 30 minutes Complexity: Basic planetary spacecraft using a simple web-based program • Explore how planets change their position in space over time NATIONAL STANDARDS National Science Education Standards (NSTA) Science and Technology Standards • Abilities of technological design • Understanding about science and technology Earth and Space Science • Earth in the solar system • Objects in the sky Common Core State Standards for Mathematics (NCTM) Number and Operations in Base Ten • Perform operations with multi-digit whole numbers and with decimals to hundredths Operations and Algebraic Thinking • Generate and analyze patterns ISTE NETS and Performance Indicators for Students (ISTE) Creativity and Innovation • Use models and simulations to explore complex systems and issues. Technology Operations and Concepts • Understand and use technology systems Aerospace Education Services Project MANAGEMENT MATERIALS Take time to practice with this software. While simple, it offers a • Computer with Internet variety of views with which to become familiar. access On the simulator homepage, a FIELD OF VIEW of 2 will show the inner solar system very nicely. It will be difficult to see the position of ALL the planets at one time. -
On the Meaning and Use of Kurtosis
Psychological Methods Copyright 1997 by the American Psychological Association, Inc. 1997, Vol. 2, No. 3,292-307 1082-989X/97/$3.00 On the Meaning and Use of Kurtosis Lawrence T. DeCarlo Fordham University For symmetric unimodal distributions, positive kurtosis indicates heavy tails and peakedness relative to the normal distribution, whereas negative kurtosis indicates light tails and flatness. Many textbooks, however, describe or illustrate kurtosis incompletely or incorrectly. In this article, kurtosis is illustrated with well-known distributions, and aspects of its interpretation and misinterpretation are discussed. The role of kurtosis in testing univariate and multivariate normality; as a measure of departures from normality; in issues of robustness, outliers, and bimodality; in generalized tests and estimators, as well as limitations of and alternatives to the kurtosis measure [32, are discussed. It is typically noted in introductory statistics standard deviation. The normal distribution has a kur- courses that distributions can be characterized in tosis of 3, and 132 - 3 is often used so that the refer- terms of central tendency, variability, and shape. With ence normal distribution has a kurtosis of zero (132 - respect to shape, virtually every textbook defines and 3 is sometimes denoted as Y2)- A sample counterpart illustrates skewness. On the other hand, another as- to 132 can be obtained by replacing the population pect of shape, which is kurtosis, is either not discussed moments with the sample moments, which gives or, worse yet, is often described or illustrated incor- rectly. Kurtosis is also frequently not reported in re- ~(X i -- S)4/n search articles, in spite of the fact that virtually every b2 (•(X i - ~')2/n)2' statistical package provides a measure of kurtosis. -
The Probability Lifesaver: Order Statistics and the Median Theorem
The Probability Lifesaver: Order Statistics and the Median Theorem Steven J. Miller December 30, 2015 Contents 1 Order Statistics and the Median Theorem 3 1.1 Definition of the Median 5 1.2 Order Statistics 10 1.3 Examples of Order Statistics 15 1.4 TheSampleDistributionoftheMedian 17 1.5 TechnicalboundsforproofofMedianTheorem 20 1.6 TheMedianofNormalRandomVariables 22 2 • Greetings again! In this supplemental chapter we develop the theory of order statistics in order to prove The Median Theorem. This is a beautiful result in its own, but also extremely important as a substitute for the Central Limit Theorem, and allows us to say non- trivial things when the CLT is unavailable. Chapter 1 Order Statistics and the Median Theorem The Central Limit Theorem is one of the gems of probability. It’s easy to use and its hypotheses are satisfied in a wealth of problems. Many courses build towards a proof of this beautiful and powerful result, as it truly is ‘central’ to the entire subject. Not to detract from the majesty of this wonderful result, however, what happens in those instances where it’s unavailable? For example, one of the key assumptions that must be met is that our random variables need to have finite higher moments, or at the very least a finite variance. What if we were to consider sums of Cauchy random variables? Is there anything we can say? This is not just a question of theoretical interest, of mathematicians generalizing for the sake of generalization. The following example from economics highlights why this chapter is more than just of theoretical interest. -
A Day in the Life of Your Data
A Day in the Life of Your Data A Father-Daughter Day at the Playground April, 2021 “I believe people are smart and some people want to share more data than other people do. Ask them. Ask them every time. Make them tell you to stop asking them if they get tired of your asking them. Let them know precisely what you’re going to do with their data.” Steve Jobs All Things Digital Conference, 2010 Over the past decade, a large and opaque industry has been amassing increasing amounts of personal data.1,2 A complex ecosystem of websites, apps, social media companies, data brokers, and ad tech firms track users online and offline, harvesting their personal data. This data is pieced together, shared, aggregated, and used in real-time auctions, fueling a $227 billion-a-year industry.1 This occurs every day, as people go about their daily lives, often without their knowledge or permission.3,4 Let’s take a look at what this industry is able to learn about a father and daughter during an otherwise pleasant day at the park. Did you know? Trackers are embedded in Trackers are often embedded Data brokers collect and sell, apps you use every day: the in third-party code that helps license, or otherwise disclose average app has 6 trackers.3 developers build their apps. to third parties the personal The majority of popular Android By including trackers, developers information of particular individ- and iOS apps have embedded also allow third parties to collect uals with whom they do not have trackers.5,6,7 and link data you have shared a direct relationship.3 with them across different apps and with other data that has been collected about you. -
The Life Services Toolkit Resources and Tools to Support You and Your Beneficiary
Life Insurance The Life Services Toolkit Resources and Tools to Support You and Your Beneficiary Group Life insurance through your employer gives you assurance that your family will receive some financial assistance in the event of a death. But coverage under a group Life policy from Standard Insurance Company (The Standard) does more than help protect your family from financial hardship after a loss. We have partnered with Health AdvocateSM to offer a lineup of additional services that can make a difference now and in the future. Online tools and services can help you create a will, make advance funeral plans and put your finances in order. After a loss, your beneficiary can consult experts by phone or in person, and obtain other helpful information online. The Life Services Toolkit is automatically available to those insured under a group Life insurance policy from The Standard. Services to Help You Now Visit the Life Services Toolkit website at standard.com/mytoolkit and enter user name “assurance” for information and tools to help you make important life decisions. • Estate Planning Assistance: Online tools walk you through the steps to prepare a will and create other documents, such as living wills, powers of attorney and advance directives. • Financial Planning: Consult online services to help you manage debt, calculate mortgage and loan payments, and take care of other financial matters with confidence. • Health and Wellness: Timely articles about nutrition, stress management and wellness help employees and their families lead healthy lives. • Identity Theft Prevention: Check the website for ways to thwart identity thieves and resolve issues if identity theft occurs. -
Lifewater-Mwash-Training-Manual
Our Mission We are Christians committed to ending the global water and sanitation crisis. Our Vision Thousands equipped, millions served, and a movement of transformed people serving together to end the global water and sanitation crisis. About Lifewater International Lifewater is a non-profit, Christian water development organization dedicated to effectively serving vulnerable children and families by partnering with underserved communities to overcome water poverty. With experience in more than 40 countries over 37 years, Lifewater serves all people of all faiths. Our programs are strategically prioritized to serve vulnerable children and families living in remote, rural, and hard-to-reach regions of our world. As a Christian organization, we are called by Jesus to love and serve the poor in an empowering and transformational manner. While some Christian organizations are called to feed the hungry, shelter the homeless, or plant churches, Lifewater International is called to bring water, health, and hope to the world’s most vulnerable people using our community-focused approach. We believe, as Jesus taught, that when we serve the poor, we are serving Him. We treat each community, family, and person with dignity and respect. We view every interaction as an opportunity to reflect God’s love in world and in deed. “But in your hearts revere Christ as Lord. Always be prepared to give an answer to everyone who asks you to give the reason for the hope that you have. But do this with gentleness and respect.” 1 Peter 3:15 (NIV) Lifewater International is a 501(c)(3) non-profit. Copyright This training material is published by Lifewater, Inc. -
World Population Ageing 2019
World Population Ageing 2019 Highlights ST/ESA/SER.A/430 Department of Economic and Social Affairs Population Division World Population Ageing 2019 Highlights United Nations New York, 2019 The Department of Economic and Social Affairs of the United Nations Secretariat is a vital interface between global policies in the economic, social and environmental spheres and national action. The Department works in three main interlinked areas: (i) it compiles, generates and analyses a wide range of economic, social and environmental data and information on which States Members of the United Nations draw to review common problems and take stock of policy options; (ii) it facilitates the negotiations of Member States in many intergovernmental bodies on joint courses of action to address ongoing or emerging global challenges; and (iii) it advises interested Governments on the ways and means of translating policy frameworks developed in United Nations conferences and summits into programmes at the country level and, through technical assistance, helps build national capacities. The Population Division of the Department of Economic and Social Affairs provides the international community with timely and accessible population data and analysis of population trends and development outcomes for all countries and areas of the world. To this end, the Division undertakes regular studies of population size and characteristics and of all three components of population change (fertility, mortality and migration). Founded in 1946, the Population Division provides substantive support on population and development issues to the United Nations General Assembly, the Economic and Social Council and the Commission on Population and Development. It also leads or participates in various interagency coordination mechanisms of the United Nations system. -
Longevity and Life Expectancy
LONGEVITY AND LIFE EXPECTANCY Cesare Marchetti International Institute for Applied Systems Analysis Laxenburg, Austria RR-97-11 September 1997 Reprinted from Technological Forecasting and Social Change, Volume 55, Number 3, July 1997. International Institute for Applied Systems Analysis, Laxenburg, Austria Tel: +43 2236 807 Fax: +43 2236 73148 E-mail: [email protected] Reseai·ch R e poi-ts , which record research conducted a.t ILA.SA , a.re independently reviewed before publication. Views or opinions expressed herein do not necessarily represent those of the Institute, its Na.tiona.l Member Orga.niza.tions, or other orga.niza.tions supporting the work. Reprinted with permission from Technological Forecasting and Social Change, Volume 55, Number 3, July 1997. Copyright @1997, Elsevier Science Inc. All rights reserved. No pa.rt. of this publica.tion ma.y be reproduced or transmitted in a.ny form or by a.ny means, electronic or mecha.nica.l, including photocopy, recording, or a.ny information storage or retrieval system, without permission in writing from the copyright holder. NORTH-HOLLAND Longevity and Life Expectancy CESARE MARCHETTI ABSTRACT The increase in life expectancy at all ages during the last two centuries is in need of a quantitative model capable of resuming the whole process under a single concept and simple mathematics. The basic hypothesis was that through improved hygiene, medicine, and life-style, the stumbling blocks to the full expression of longevity were progressively removed. The mathematics of learning processes was then applied to the secular evolution of life expectancy at various ages. The hypothesis proved very fertile. -
Origins of Life in the Universe Zackary Johnson
11/4/2007 Origins of Life in the Universe Zackary Johnson OCN201 Fall 2007 [email protected] Zackary Johnson http://www.soest.hawaii.edu/oceanography/zij/education.html Uniiiversity of Hawaii Department of Oceanography Class Schedule Nov‐2Originsof Life and the Universe Nov‐5 Classification of Life Nov‐7 Primary Production Nov‐9Consumers Nov‐14 Evolution: Processes (Steward) Nov‐16 Evolution: Adaptation() (Steward) Nov‐19 Marine Microbiology Nov‐21 Benthic Communities Nov‐26 Whale Falls (Smith) Nov‐28 The Marine Food Web Nov‐30 Community Ecology Dec‐3 Fisheries Dec‐5Global Ecology Dec‐12 Final Major Concepts TIMETABLE Big Bang! • Life started early, but not at the beginning, of Earth’s Milky Way (and other galaxies formed) history • Abiogenesis is the leading hypothesis to explain the beginning of life on Earth • There are many competing theories as to how this happened • Some of the details have been worked out, but most Formation of Earth have not • Abiogenesis almost certainly occurred in the ocean 20‐15 15‐94.5Today Billions of Years Before Present 1 11/4/2007 Building Blocks TIMETABLE Big Bang! • Universe is mostly hydrogen (H) and helium (He); for Milky Way (and other galaxies formed) example –the sun is 70% H, 28% He and 2% all else! Abundance) e • Most elements of interest to biology (C, N, P, O, etc.) were (Relativ 10 produced via nuclear fusion Formation of Earth Log at very high temperature reactions in large stars after Big Bang 20‐13 13‐94.7Today Atomic Number Billions of Years Before Present ORIGIN OF LIFE ON EARTH Abiogenesis: 3 stages Divine Creation 1.