Predicting employees' commitment to and support for organisational change

This study aimed to identify factors that predict employees' commitment to and support for organisational change. The three components of Herscovitch and Meyer's (2002) commitment to organisational change model were hypothesised to mediate the relationship between organisational climate and behavioural support for organisational change. Data were collected from a Queensland government department (N = 342). Analysis of correlations revealed that organisational climate, commitment to change, and behavioural support for change variables were all significantly related. Structural equation modelling demonstrated that affective, normative, and continuance commitment to change were all predictors of behavioural support for organisational change. Positive work climate also contributed directly to the prediction of behavioural support for change over and above the indirect influence through commitment to organisational change, indicating a partial mediation effect. These findings support Herscovitch and Meyer's (2002) three-component model of commitment to organisational change and extend their nomological network by showing the relevance of two types of organisational climate to the core components of the model. Affective commitment to organisational change is a positive influence on employees' behavioural support for change and also reflects healthy aspects of the organisational climate. However, continuance commitment to organisational change is detrimental influence on employees' behavioural support for change and is linked with unhealthy dimensions of the organisational climate

Discrete Optimization for Interpretable Study Populations and Randomization Inference in an Observational Study of Severe Sepsis Mortality

Motivated by an observational study of the effect of hospital ward versus intensive care unit admission on severe sepsis mortality, we develop methods to address two common problems in observational studies: (1) when there is a lack of covariate overlap between the treated and control groups, how to define an interpretable study population wherein inference can be conducted without extrapolating with respect to important variables; and (2) how to use randomization inference to form confidence intervals for the average treatment effect with binary outcomes. Our solution to problem (1) incorporates existing suggestions in the literature while yielding a study population that is easily understood in terms of the covariates themselves, and can be solved using an efficient branch-and-bound algorithm. We address problem (2) by solving a linear integer program to utilize the worst case variance of the average treatment effect among values for unobserved potential outcomes that are compatible with the null hypothesis. Our analysis finds no evidence for a difference between the sixty day mortality rates if all individuals were admitted to the ICU and if all patients were admitted to the hospital ward among less severely ill patients and among patients with cryptic septic shock. We implement our methodology in R, providing scripts in the supplementary material

Foreword and Preface, from Courier, Vol. XXVIII, No. 2, Fall 1993

FOREWARD: When in 1962, I first visited the rare book collection of the Syracuse University Library to begin researching the history of the Oneida Community, I explored the foundation of what is now a distinguished and growing body of material related to America\u27s most complex communal venture. That foundation had been laid when Lester G. Wells, then curator, acquired a full run of the Community periodicals and a substantial body of pamphlets. The O. C. Collection as outlined by Wells in his 1961 bibliography* provided me with enough data to grasp the details of Community life reported in their own periodicals. Since then many researchers have journeyed to Syracuse to mine those periodicals and pamphlets (in 1973 they were made available on microfilm to other libraries), and I am sure that scholars will continue to explore the primary sources gathered by Mark Weimer and opened in 1993. PREFACE: SEVENTY YEARS AGO -in reply to a letter from Hope Emily Allen that was full of trepidation about the handling of the Oneida Community\u27s legacy, especially by one Mrs. Smith-George Bernard Shaw wrote: I agree with you that only a symposium could do justice to the Oneida Creek Community\u27s history: but the difficulty seems to be that the witnesses wont sympose. This being so, there is nothing for it but to let Mrs. Smith tell her history and provoke retorts, so that we shall get the symposium in different covers instead of in one book.1 Hope Allen, a respected medievalist, was born in the Mansion House a few years after the breakup of the Oneida Community. She became the Community\u27s archivist after her return as an adult to Oneida. Shaw\u27s keen interest in the Oneida Community was most fully articulated in his essay The Perfectionist Experiment at Oneida Creek , which appeared as part of The Revolutionist Handbook appended to Man and Superman (1903)

Hyperbaric oxygen therapy for Alzheimer’s dementia with positron emission tomography imaging: a case report

A 58-year-old female was diagnosed with Alzheimer’s dementia (AD) which was rapidly progressive in the 8 months prior to initiation of hyperbaric oxygen therapy (HBOT). 18Fluorodeoxyglucose (18FDG) positron emission tomography (PET) brain imaging demonstrated global and typical metabolic deficits in AD (posterior temporal-parietal watershed and cingulate areas). An 8-week course of HBOT reversed the patient’s symptomatic decline. Repeat PET imaging demonstrated a corresponding 6.5–38% regional and global increase in brain metabolism, including increased metabolism in the typical AD diagnostic areas of the brain. Continued HBOT in conjunction with standard pharmacotherapy maintained the patient’s symptomatic level of function over an ensuing 22 months. This is the first reported case of simultaneous HBOT-induced symptomatic and 18FDG PET documented improvement of brain metabolism in AD and suggests an effect on global pathology in AD

Hyperbaric Oxygen Therapy in in Neurodegenerative Disease with Case Presentations of Alzheimer\u27s Disease

Dr. Harch’s keynote will outline his case presentations on Alzheimer’s, supported by Dr. Fogarty. To better understand that neurodegenerative diseases result from a combination of genetic factors and cumulative environmental factors that generate central nervous system inflammation and wounding. To understand the positive and negative literature on HBOT in a variety of neurodegenerative and neurodevelopment diseases and the effects of HBOT on inflammation

Predicting occupational strain and job satisfaction: the role of stress, coping, personality, and affectivity variables

Four studies employed path analysis to examine how measures of occupational stressors, coping resources, and negative affectivity (NA) and positive affectivity (PA) interact to predict occupational strain. The Occupational Stress Inventory (Osipow & Spokane, 1987) was used to measure stress, strain, and coping. The Positive and Negative Affectivity Schedule (Watson, Clark, & Tellegen, 1988) was used for the affectivity variables. The hypothesised model showed NA and PA as background dispositional variables that influenced relations among stress, strain, and coping while still allowing stress and coping to have a direct influence on strain. Goodness of fit indices were acceptable with the model predicting 15 per cent of the variance in stress, 24 per cent of coping, and 70 per cent of strain. Study 2 replicated these findings. Study 3 added a positive outcome variable, job satisfaction (JSI: Brayfield & Rothe, 1951) to the model. The expanded model again fit the data well. A fourth study added a global measure of personality (NEO-FFI: Costa & McCrae, 1991) to the model tested in Study 3. Results indicated that personality measures did not add anything to the prediction of job satisfaction and strain in a model that already included measures of stressors, coping resources, NA and PA. The series of four studies yielded a reliable structural model that highlights the influence of organizational and dispositional variables on occupational strain and job satisfaction

Fast and Slow Rotators in the Densest Environments: a SWIFT IFS study of the Coma Cluster

We present integral-field spectroscopy of 27 galaxies in the Coma cluster observed with the Oxford SWIFT spectrograph, exploring the kinematic morphology-density relationship in a cluster environment richer and denser than any in the ATLAS3D survey. Our new data enables comparison of the kinematic morphology relation in three very different clusters (Virgo, Coma and Abell 1689) as well as to the field/group environment. The Coma sample was selected to match the parent luminosity and ellipticity distributions of the early-type population within a radius 15' (0.43 Mpc) of the cluster centre, and is limited to r' = 16 mag (equivalent to M_K = -21.5 mag), sampling one third of that population. From analysis of the lambda-ellipticity diagram, we find 15+-6% of early-type galaxies are slow rotators; this is identical to the fraction found in the field and the average fraction in the Virgo cluster, based on the ATLAS3D data. It is also identical to the average fraction found recently in Abell 1689 by D'Eugenio et al.. Thus it appears that the average slow rotator fraction of early type galaxies remains remarkably constant across many different environments, spanning five orders of magnitude in galaxy number density. However, within each cluster the slow rotators are generally found in regions of higher projected density, possibly as a result of mass segregation by dynamical friction. These results provide firm constraints on the mechanisms that produce early-type galaxies: they must maintain a fixed ratio between the number of fast rotators and slow rotators while also allowing the total early-type fraction to increase in clusters relative to the field. A complete survey of Coma, sampling hundreds rather than tens of galaxies, could probe a more representative volume of Coma and provide significantly stronger constraints, particularly on how the slow rotator fraction varies at larger radii.Comment: Accepted for publication in MNRA

From LTL and Limit-Deterministic B\"uchi Automata to Deterministic Parity Automata

Controller synthesis for general linear temporal logic (LTL) objectives is a challenging task. The standard approach involves translating the LTL objective into a deterministic parity automaton (DPA) by means of the Safra-Piterman construction. One of the challenges is the size of the DPA, which often grows very fast in practice, and can reach double exponential size in the length of the LTL formula. In this paper we describe a single exponential translation from limit-deterministic B\"uchi automata (LDBA) to DPA, and show that it can be concatenated with a recent efficient translation from LTL to LDBA to yield a double exponential, \enquote{Safraless} LTL-to-DPA construction. We also report on an implementation, a comparison with the SPOT library, and performance on several sets of formulas, including instances from the 2016 SyntComp competition