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University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
.Divorce and Dissolution of Romantic Relationships1. Divorce = formal, legal end. Emotional divorce vs. actual divorce. Dissolution more general, encompassing non-marital endings as well as divorce. Still valuable: Robert S. Weiss' 1975 Marital S
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
1Dissolution Special Notes Re Loss & Bereavement A. Big Picture on Dissolution as Related to Loss & Trauma: major loss issues throughout life, whether in breakups & new startups, high conflict in relatively stable relationships, or conflict with
University of Iowa - PSYCHOLOGY - 31141
VIETNAM WAR AND WOMEN OF VIETNAM WAR-Inputs from 3 video clips 1. 1993 Memorial to honor women (the larger Memorial established in 1983-referred to as America's Wailing Wall 2. Who were the American women in Vietnam War? How many were there? Now at m
University of Iowa - PSYCHOLOGY - 31141
CONCEPTS RELATING TO WOMEN OF VIETNAM WAR 1. Women more vulnerable to trauma. Roughly 75% PTSD victims are female; loss events such as rape, being a victim of violence, sudden loss of loved ones, vehicular accidents, and war common bases for developm
University of Iowa - PSYCHOLOGY - 31141
Holocaust/WWIIReadings Staub (UPAC Web Readings), Genocide, Key Factors Lifton Interview by Caruth and Notes on Traumatic Events (e.g., how Nazi doctors killed kids in their day-time job and then went home to be "good fathers" at night) _ Numbers Ki
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
Key Ideas S08 Loss & Trauma Readings First Half of Course Edited Book Loss and Trauma (Harvey-Miller Eds.) Chap 1 Updegraff-Taylor, compare to Chap 2 Janoff-Bulman. Each emphasizes growth & appreciation growing out of loss. Relate to Taylor's Cogniti
University of Iowa - PSYCHOLOGY - 31141
911 Impacts/Meanings/QuestionsWhat is Trauma? What is PTSD? Sleeping at night Tuesday's Children (WTC children survivors-emphasizes activities); recognizes delayed impact of trauma Scarlet Letters ("be normal" for survivors; persons of Islam fait
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31141
University of Iowa - PSYCHOLOGY - 31241
It is estimated that the human brain and spinal cord contains 100 billion (1011) interneurons averaging 1000 synapses on each; that is, some 1014 connections.Coronal SectionHorizontal SectionSagital SectionWhite Matter - bundles of nerve fibe
University of Iowa - PSYCHOLOGY - 31241
The brain is an intricate network, consisting of approximately 200 billion neurons and more than a trillion glia Cells. Each neuron receives and combines multiple inputs to determine, whether to transmit an action potential to the next target i
University of Iowa - PSYCHOLOGY - 31241
"There Can Be No Twisted Thought Without a Twisted Molecule" Ralph W. Gerard Neurophysiologist31:241 Behavioral and Cognitive Neuroscience Professor A.K. Johnson Fall 2008 Outline Topic 1: Genes and Behavior 9/30; 10/2I. Introduction A. Levels of
University of Iowa - PSYCHOLOGY - 31241
"After a battle the universal cry of men who have been badly wounded and who are suffering from hemorrhage or shock, is the cry for water."Walter B. Cannon, The Wisdom of the Body, 1932.31:241 Behavioral and Cognitive Neuroscience Professor A.K. J
University of Iowa - PSYCHOLOGY - 31241
31:241 Behavioral and Cognitive Neuroscience Professor A.K. Johnson Fall 2008 Outline Reward and Addiction I. II. Introduction Neural and Neurochemical Bases of Reward and ActionA. B. C. D. E. F. G. H. I. J. K. Discovery of rewarding electrical brai
University of Iowa - PSYCHOLOGY - 31241
31:241 Behavioral and Cognitive Neuroscience Professor A.K. Johnson Fall 2008 Outline Neurobiology of Mood, Emotion and Mental IllnessI. Emotion and Affect A. Defining emotions B. Ontogeny of emotion C. Expression and measurement of components of em
Wisconsin - DOCS - 3170
Southern African Large Telescope PI Tool Spectrum Simulator RequirementsKenneth Nordsieck University of WisconsinDocument Number: SALT-3172AS0005 Revision 1.1 27 Feb 2004Change HistoryRev 1.0 1.1 Date 21 Jan, 2004 27 Feb, 2004 Description Orig
LSU - M - 7590
1. Lecture One The first lessons will be on free groups (in the not necessarily commutative setting) viewed from several different perspectives. 1.1. Free products of groups. A free group is a free product of infinite cyclic groups (herein denoted C
Maharishi - CS - 475
El ColorHelmuth Trefftz ST079Agenda La luz Modelos de Color RGB XYZ HSVLa Luz Pedacito del espectro electromagticoLa percepcin El elemento clave es la retinaSensores: conos y bastones Los receptores de color son los de color (SML)S
Maharishi - CS - 390
Programming Assignment #10 Write a program that generates a random set of 8 addition problems (intended for a child in elementary school). Numbers to be added should be randomly chosen from the range 1.99. Each run of the program should result in a d
Maharishi - CS - 390
Programming Assignment #19Use the class MyStringLinkedList in the supplementary code folder as a starting point for implementing a doubly linked list (with header) to store String data. Implement the operations: void insert(String data, int pos) boo
Maharishi - CS - 425
MAHARISHI VEDIC SCIENCE AND TECHNOLOGYSoftware EngineeringHEAD OF STATEHIS HOLINESS MAHARISHI MAHESH YOGIwho introduced the Transcendental Meditation program to the world 43 years ago and opened the gate to enlightenment to millions of people in
Maharishi - CS - 425
RATIONAL ROSE 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. STARTING RATIONAL ROSE.2 CREATING A PROJECT MODEL IN RATIONAL ROSE .2 USE CASE DIAGRAM ..6 CLASS DIAGRAM .9 ACTIVITY DIAGRAM .16 SEQUENCE DIAGRAM .17 COLLABORATION DIAGRAMS.21 DRAWING A STA
Maharishi - CS - 425
UML REFERENCE CARD 1998 Allen I. Holub. All Rights Reserved.Available from <http:/www.holub.com>.E.g.: Some_class abstract { author: George Jetson modified: 10/6/2999 checked_out: y } Guillemets identify stereotypes. E.g.: static, abstract JavaB
Maharishi - CS - 425
RUP/XP Guidelines: Test-first Design and RefactoringRobert C. MartinObject Mentor, Inc.Rational Software White PaperTable of ContentsOverview..3 A Refactoring Example .3 Conclusion .17 References..17iiRUP/XP Guidelines: Test-first Design
Maharishi - CS - 425
RUP/XP Guidelines: Pair ProgrammingRobert C. MartinObject Mentor, Inc.Rational Software White PaperTable of ContentsOverview..3 Pairing, a brief description .3 The case for pairing ..3 The Practice..3 Pairing..3 Changing pairs .4 Collective o
Maharishi - CS - 425
Java Code ConventionsSeptember 12, 1997Copyright Information 1997, Sun Microsystems, Inc. All rights reserved. 2550 Garcia Avenue, Mountain View, California 94043-1100 U.S.A. This document is protected by copyright. No part of this document may b
Maharishi - CS - 425
Rational Unified ProcessBest Practices for Software Development TeamsRational Software White Paper TP026B, Rev 11/01Table of ContentsWHAT IS THE RATIONAL UNIFIED PROCESS? . 1 EFFECTIVE DEPLOYMENT OF 6 BEST PRACTICES. 1 PROCESS OVERVIEW . 3 TWO
Maharishi - CS - 425
The Ten Essentials of RUP- the Essence of an Effective Development ProcessLeslee ProbascoRational Software White PaperTP177, 9/00Table of ContentsAbstract.. 1 A Plea for Help .. 1 Overwhelmed with the Details . 1 Focus on the Essentials .. 1
Maharishi - CS - 525
Proxy Lab:Proxy Exercise Lab:1) Simple Logging /Debugging Proxy: (from class)Complete the simple proxy from class, which should be a proxy that just does a simple pre- and post- message. The steps are: a) Define a Main which should callb) Defin
Maharishi - CS - 525
ASD LabsAdvanced Software DevelopmentCS525Lab notes:Observer Strategy Iterator command State Chain of Responsibility (COR) Bridge Factory Visitor CompositeNote: In several places in the notes I pose a question about the lab and its design or
Maharishi - CS - 525
TimeLog report for CS525 LabsStudent: Lab:DateTime start Hours ActivityResultTotal Hours:
Maharishi - CS - 525
Advanced Software DevelopmentDaily TopicsDay 1: Overview of Advanced Software Systems o Elements of Software Development Definition of Advanced Software Development & topics o Methods of ASD o Levels of Abstraction(s) Software Metrics Laws Pr
Maharishi - CS - 401
MPP Lab Programming StructuresLevel 1Objectives: Review Java Programming Structures o main, variables, control structures, operators, passing arguments. Compiling and running from the command line. Tasks: 1. Open the Notepad editor and write a
Maharishi - CS - 401
CS401 Modern Programming Practices (MPP) Lesson 2 Classes and Objects The Unity of Differences Wholeness Objects can be modeled in many different ways, depending on their relationships with each other. It is important to model the classes such that t
Maharishi - CS - 401
MPP LAB - CLASSES & OBJECTS Level 1Objectives: Familiarize yourself with the Eclipse Integrated Development Environment (IDE). Familiarize yourself with the Java website and the Java API Documentation. Tasks: 1. Go to C:\Program Files\Java and fam
Maharishi - CS - 401
Modeling the Static/ Data Aspects of the SystemHaving employed use case analysis techniques in Chapter 9 to round out the SRS requirements specification, we're ready to tackle the next stage of modeling, which is determining how we're going to meet
Maharishi - CS - 401
Lesson 3 Lab 3.1 Page 1 of 2 COMPOSITION, ASSOCIATION & DELEGATION Human Resource ApplicationObjectives: Learn how to implement Composition and Binary Associations. Learn how to implement Delegation and Propagation Create an application to keep t
Maharishi - CS - 401
Lesson 3 Lab 3.3 Page 1 of 2 REFLEXIVE ASSOCATIONS Reporting HierarchyObjectives: Learn how to implement Reflexive Associations. Practice more Delegation and Propagation. Add a reflexive association to the Position class in order to maintain a co
Maharishi - CS - 401
Lesson 5:InterfacesJava interface is similar to abstract except.No instance variables(except final variables)No implemented methods interface replaces classpublic interface Runnable { . }implements replaces extendsMyClass extends SuperCla
Maharishi - CS - 401
Template Method PatternDon't call us, we'll call you.Case Study: Rainbow CafeTraining manual:Coffee recipeBoil some water Pour boiling water over ground coffee beans Pour coffee into cup Add milk and sugar to cupTea recipeBoil some water Ste
Wisconsin - LANDSCAPE - 565
Lundrcupe E&iogy ECoiogy 13: 65-77, 1998. @ 1998 Kluwer A c u d e m i c P u b l i s h & s . P r i n t e d i n t h e N e t h e r l a n d s .Landscape context of rural residential development in southeastern Wisconsin (USA) IJames A. LaGro Jr.Depar
Maharishi - CS - 435
CS435 Algorithms DE CourseStudent ID 000-98-1280 000-98-1551 000-98-1148 000-98-1366 000-98-1368 000-98-1519 000-98-1070 000-98-1371 000-98-1487 000-98-1385 000-98-0984 000-98-1529 000-98-1284 000-98-1444 000-98-1288 000-98-1467 000-98-1248 000-98-1
Maharishi - CS - 581
Introduction To Jess and Jess SyntaxWhat Is Jess?1. A rules engine and scripting language developed by Ernest Friedman-Hill, based on the CLIPS rules language (which is based on C and has been the baseline standard for rules languages. 2. Jess pro
Maharishi - CS - 581
Facts And Rules In JessOverview of the Jess Rule Engine1. The Jess rule engine has a working memory in which data, called "facts" are "asserted" 2. Rules are inserted into the "rule base" and will operate on the facts in the working memory. 3. The
Maharishi - CS - 581
Jess ApplicationsPart I: The Tax Forms Adviser ApplicationOverview1. The Tax Forms Adviser application is an example of a (simple) expert system. Typically, expert systems provide an interactive interface with a user; the system gets input from
Maharishi - CS - 505
TimeLog report for CS525 LabsStudent: Lab:DateTime startHours ActivityResultTotal Hours:
Maharishi - CS - 505
COMP 505: Formal Methods in Programming Languages: The Perfection of Vedic Language Lesson 0: Introduction to Formal Methods in Programming Languages: Capturing wholeness at the Abstract Field LevelIn all areas of study, it is the ability to form ab