Exploring the Relationship Between Daily Steps, Body Mass Index and Physical Self-Esteem in Female Australian Adolescents

Current research suggests that a decline in physical activity occurs some time during the adolescent years, but at what specific age is unknown. Determination of the age at which physical activity levels decline and possible contributors to this phenomenon, are needed to increase Australian healthcare knowledge. The participants involved in the study were female adolescents (n = 297) aged 13-15 years from a high school in Southeast Queensland, Australia. The purpose of this study was to: (a) determine mean steps per day, using pedometers, for grade 8 through 10 girls, (b) determine body mass index (BMI) by measuring height (cm) and weight (kg), and (c), using the Children and Youth Physical Self-Perception Profile (CY-PSPP) questionnaire, identify determinants of physical self-worth in Australian female adolescents and their relationship to activity level and BMI. The study revealed that a significant drop-off in pedometer-determined mean daily steps occurred at grade ten, or approximately 15 years of age. A significant inverse relationship between mean daily steps and BMI was found (r = ¯.251, p<.0001). The study also revealed negative correlations between BMI and all self-perceptions (p<.05), except strength, which showed a positive correlation (p<0.05). A positive correlation was found between level of physical activity and all self-perceptions, except Global Self-Worth, which showed no significant difference

Alien Registration- Michaud, Thomas J. (Millinocket, Penobscot County)

https://digitalmaine.com/alien_docs/7725/thumbnail.jp

An Examination of Computational Methods Related to G/M/c Queueing

The following examination of computational methods related to queues with general arrivals (i:i:d: but of unknown distribution), multiple identical servers with i:i:d: exponential service times, and ordinary first come, first served service (hereafter referred to as G/M/c to use existing naming conventions) seeks to investigate the current models and provide new results based on a draft convolution method proposed by El-Taha[3]. The new model will demonstrate the use of distributions with coefficients of variance ranging from zero to near infinity to provide flexibility in simulating a range of potential arrival distributions, and we include detailed results and software for both small-scale and large-scale models

Gabriel Marcel and the Postmodern World

non

Enhancing the area of a Raman atom interferometer using a versatile double-diffraction technique

IIn this paper we demonstrate a new scheme for Raman transitions which realize a symmetric momentum-space splitting of $4 \hbar k$, deflecting the atomic wave-packets into the same internal state. Combining the advantages of Raman and Bragg diffraction, we achieve a three pulse state labelled interferometer, intrinsically insensitive to the main systematics and applicable to all kind of atomic sources. This splitting scheme can be extended to $4N \hbar k$ momentum transfer by a multipulse sequence and is implemented on a $8 \hbar k$ interferometer. We demonstrate the area enhancement by measuring inertial forces

Toward a conceptualization of the online shopping experience

International audienceThis research article explores the content of consumers 's experience when they shop online and proposes a first step in conceptualizing the 'online shopping experience ' (OSE). First, we carried out an extended literature review and proposed an integrative conceptual framework. Then, we relied on a consumers discourse analysis with four focus groups with consumers who differ in terms of age, gender and online shopping experience. We define the OSE and propose a conceptualization through four core dimensions: the physical, ideological, pragmatic and social dimensions. Connections are established between the flow concept and the 'traditional' dimensions of experience, and specific shopping values are identified. Moreover, an appropriation process of commercial websites is revealed; beyond purchase intentions and rituals, the OSE is embodied by the use of online tools and patronage routines. Finally, social interactions with Facebook friends are one of the new practices considered

ONLINE SHOPPING EXPERIENCE: A QUALITATIVE SURVEY

International audienceThis research tackles the issue of shopping experience in an online environment. Previous studies have already focused on consumption experiences (Holt, 1995; Arnould and Thompson, 2005) and consumer experiences on the web focusing on 'browsing' and 'flow' online (Hoffman, Novak, 1996, 2009). This paper intends to examine online shopping experience from three aspects: the physical, ideological and pragmatic dimensions. As an exploratory research study, a qualitative research method was used (in France) with four focus groups –thirty-one consumers who differ in terms of age, gender and consumer experience. The results highlighted the three proposed dimensions and underline as core issue the pragmatic dimension of online shopping experience. Indeed, if the ideological aspect of shopping experience has already been discussed, as well as some of the concrete elements of the shopping experience online, some key aspects of online shopping experience have been pointed out, for instance the social interactions with friends. Above all, the appropriation process of commercial websites is here underlined; beyond purchase intentions, shoppers have different uses and rituals with Internet tools, that characterize different online shopping experiences

Littératie financière et préparation à la retraite au Québec et dans le reste du Canada

Dans cet article, nous démontrons, en utilisant des données de l’Enquête canadienne sur les capacités financières, que le Québec tire de l’arrière par rapport au reste du Canada non seulement en termes de niveau de littératie financière et d’éducation financière, mais aussi en termes d’épargne et de préparation à la retraite. Nous analysons la possibilité que ces différences soient expliquées par des différences socioéconomiques et explorons la possibilité que des spécificités institutionnelles telles que la prépondérance des régimes de retraite d’employeur à prestations déterminées au Québec puisse expliquer ces différences

Heterogeneity in loss aversion: evidence from field elicitations

Purpose: Prospect theory is now widely accepted as the dominant model of choice under risk, but has not been fully incorporated into applied research because of uncertainty about how to include population-level parameter estimates. The purpose of this paper is to characterize heterogeneity across people to lay a foundation for future applied research. Design/methodology/approach: The paper uses elicitation data from field experiments in Vietnam to fit a finite Gaussian mixture model using the expectation maximization algorithm. Applied results are simulated for investment allocations under myopic loss aversion. Findings: The authors find that about 20 percent of the sample is classified as extremely loss averse, while the rest of the population is only mildly loss averse. This implies a bimodal distribution of loss aversion in the population. Research limitations/implications: The data set is only moderately sized: 181 subjects. Future research will be needed to extend these results out of sample, and to other regions. Originality/value: This paper provides empirical evidence that heterogeneity matters in prospect theory modeling. It highlights how policy makers might be misled by assuming that average prospect theory parameters are typical within the population

Bayesian Downscaling Methods for Aggregated Count Data

Policy-critical, micro-level statistical data are often unavailable at the desired level of disaggregation. We present a Bayesian methodology for “downscaling” aggregated count data to the micro level, using an outside statistical sample. Our procedure combines numerical simulation with exact calculation of combinatorial probabilities. We motivate our approach with an application estimating the number of farms in a region, using count totals at higher levels of aggregation. In a simulation analysis over varying population sizes, we demonstrate both robustness to sampling variability and outperformance relative to maximum likelihood. Spatial considerations, implementation of “informative” priors, non-spatial classification problems, and best practices are discussed