Effect of school based physical activity programme (KISS) on fitness and adiposity in primary schoolchildren: cluster randomised controlled trial.

To assess the effectiveness of a school based physical activity programme during one school year on physical and psychological health in young schoolchildren. Cluster randomised controlled trial. 28 classes from 15 elementary schools in Switzerland randomly selected and assigned in a 4:3 ratio to an intervention (n=16) or control arm (n=12) after stratification for grade (first and fifth grade), from August 2005 to June 2006. 540 children, of whom 502 consented and presented at baseline. Children in the intervention arm (n=297) received a multi-component physical activity programme that included structuring the three existing physical education lessons each week and adding two additional lessons a week, daily short activity breaks, and physical activity homework. Children (n=205) and parents in the control group were not informed of an intervention group. For most outcome measures, the assessors were blinded. Primary outcome measures included body fat (sum of four skinfolds), aerobic fitness (shuttle run test), physical activity (accelerometry), and quality of life (questionnaires). Secondary outcome measures included body mass index and cardiovascular risk score (average z score of waist circumference, mean blood pressure, blood glucose, inverted high density lipoprotein cholesterol, and triglycerides). 498 children completed the baseline and follow-up assessments (mean age 6.9 (SD 0.3) years for first grade, 11.1 (0.5) years for fifth grade). After adjustment for grade, sex, baseline values, and clustering within classes, children in the intervention arm compared with controls showed more negative changes in the z score of the sum of four skinfolds (-0.12, 95 % confidence interval -0.21 to -0.03; P=0.009). Likewise, their z scores for aerobic fitness increased more favourably (0.17, 0.01 to 0.32; P=0.04), as did those for moderate-vigorous physical activity in school (1.19, 0.78 to 1.60; P<0.001), all day moderate-vigorous physical activity (0.44, 0.05 to 0.82; P=0.03), and total physical activity in school (0.92, 0.35 to 1.50; P=0.003). Z scores for overall daily physical activity (0.21, -0.21 to 0.63) and physical quality of life (0.42, -1.23 to 2.06) as well as psychological quality of life (0.59, -0.85 to 2.03) did not change significantly. A school based multi-component physical activity intervention including compulsory elements improved physical activity and fitness and reduced adiposity in children. Trial registration Current Controlled Trials ISRCTN15360785.

Influence of a lifestyle intervention in preschool children on physiological and psychological parameters (Ballabeina): study design of a cluster randomized controlled trial.

Childhood obesity and physical inactivity are increasing dramatically worldwide. Children of low socioeconomic status and/or children of migrant background are especially at risk. In general, the overall effectiveness of school-based programs on health-related outcomes has been disappointing. A special gap exists for younger children and in high risk groups. This paper describes the rationale, design, curriculum, and evaluation of a multicenter preschool randomized intervention study conducted in areas with a high migrant population in two out of 26 Swiss cantons. Twenty preschool classes in the German (canton St. Gallen) and another 20 in the French (canton Vaud) part of Switzerland were separately selected and randomized to an intervention and a control arm by the use of opaque envelopes. The multidisciplinary lifestyle intervention aimed to increase physical activity and sleep duration, to reinforce healthy nutrition and eating behaviour, and to reduce media use. According to the ecological model, it included children, their parents and the teachers. The regular teachers performed the majority of the intervention and were supported by a local health promoter. The intervention included physical activity lessons, adaptation of the built infrastructure; promotion of regional extracurricular physical activity; playful lessons about nutrition, media use and sleep, funny homework cards and information materials for teachers and parents. It lasted one school year. Baseline and post-intervention evaluations were performed in both arms. Primary outcome measures included BMI and aerobic fitness (20 m shuttle run test). Secondary outcomes included total (skinfolds, bioelectrical impedance) and central (waist circumference) body fat, motor abilities (obstacle course, static and dynamic balance), physical activity and sleep duration (accelerometry and questionnaires), nutritional behaviour and food intake, media use, quality of life and signs of hyperactivity (questionnaires), attention and spatial working memory ability (two validated tests). Researchers were blinded to group allocation. The purpose of this paper is to outline the design of a school-based multicenter cluster randomized, controlled trial aiming to reduce body mass index and to increase aerobic fitness in preschool children in culturally different parts of Switzerland with a high migrant population. Trial Registration: (clinicaltrials.gov) NCT00674544.

Soft tissue artifact distribution on lower limbs during treadmill gait: Influence of skin markers' location on cluster design.

Segment poses and joint kinematics estimated from skin markers are highly affected by soft tissue artifact (STA) and its rigid motion component (STARM). While four marker-clusters could decrease the STA non-rigid motion during gait activity, other data, such as marker location or STARM patterns, would be crucial to compensate for STA in clinical gait analysis. The present study proposed 1) to devise a comprehensive average map illustrating the spatial distribution of STA for the lower limb during treadmill gait and 2) to analyze STARM from four marker-clusters assigned to areas extracted from spatial distribution. All experiments were realized using a stereophotogrammetric system to track the skin markers and a bi-plane fluoroscopic system to track the knee prosthesis. Computation of the spatial distribution of STA was realized on 19 subjects using 80 markers apposed on the lower limb. Three different areas were extracted from the distribution map of the thigh. The marker displacement reached a maximum of 24.9mm and 15.3mm in the proximal areas of thigh and shank, respectively. STARM was larger on thigh than the shank with RMS error in cluster orientations between 1.2° and 8.1°. The translation RMS errors were also large (3.0mm to 16.2mm). No marker-cluster correctly compensated for STARM. However, the coefficient of multiple correlations exhibited excellent scores between skin and bone kinematics, as well as for STARM between subjects. These correlations highlight dependencies between STARM and the kinematic components. This study provides new insights for modeling STARM for gait activity.

Informe Cluster

Banco del conocimiento

An application of cell-cluster theory to a rare gas crystal /|n[by] K. Westera. - 260 St. Catharines [Ont.] : Dept. of Physics, Brock University,

The Lennard-Jones Devonshire 1 (LJD) single particle theory for liquids is extended and applied to the anharmonic solid in a high temperature limit. The exact free energy for the crystal is expressed as a convergent series of terms involving larger and larger sets of contiguous particles called cell-clusters. The motions of all the particles within cell-clusters are correlated to each other and lead to non-trivial integrals of orders 3, 6, 9, ... 3N. For the first time the six dimensional integral has been calculated to high accuracy using a Lennard-Jones (6-12) pair interaction between nearest neighbours only for the f.c.c. lattice. The thermodynamic properties predicted by this model agree well with experimental results for solid Xenon.

Evolutionary synthesis of stochastic gene network models using feature-based search spaces

A feature-based fitness function is applied in a genetic programming system to synthesize stochastic gene regulatory network models whose behaviour is defined by a time course of protein expression levels. Typically, when targeting time series data, the fitness function is based on a sum-of-errors involving the values of the fluctuating signal. While this approach is successful in many instances, its performance can deteriorate in the presence of noise. This thesis explores a fitness measure determined from a set of statistical features characterizing the time series' sequence of values, rather than the actual values themselves. Through a series of experiments involving symbolic regression with added noise and gene regulatory network models based on the stochastic 'if-calculus, it is shown to successfully target oscillating and non-oscillating signals. This practical and versatile fitness function offers an alternate approach, worthy of consideration for use in algorithms that evaluate noisy or stochastic behaviour.

Manufacturing 'authenticity' : a case study of the Niagara wine cluster

In this thesis, I use "Fabricating Authenticity," a model developed in the Production of Culture Perspective, to explore the evolving criteria for judging what constitute "real" and authentic Niagara wines, along with the naturalization of these criteria, as the Canadian Niagara wine cluster has come under increasing stress from globalization. Authenticity has been identified as a hallmark of contemporary marketing and important to cultural industries, which can use it for creating meaningful differentiation; making it a renewable resource for securing consumers, increasing market value; and for relationships with key brokers. This is important as free trade and international treaties are making traditional protective barriers, like trade tariffs and markups, obsolete and as governments increasingly allocate industry support via promotion and marketing policies that are directly linked to objectives of city and regional development, which in turn carry real implications for what gets to be judged authentic and inauthentic local culture. This research uses a mixed methods research strategy, drawing upon ethnographic observation, marketing materials, newspaper reports, and secondary data to provide insight into the processes and conflicts over efforts to fabricate authenticity, comparing the periods before and after the passage of NAFT A to the present period. The Niagara wine cluster is a good case in point because it has little natural advantage nor was there a tradition of quality table wine making to facilitate the naturalization of authenticity. Geographic industrial clusters have been found particularly competitive in the global economy and the exploratory case study contributes to our understanding of the dynamic of '1abricating authenticity," building on various theoretical propositions to attempt to derive explanations of how global processes affect strategies to create "authenticity," how these strategies affect cultural homogeneity and heterogeneity at the local level, and how the concept of "cluster" contributes to the process of managing authenticity.

Transforming Downtown St. Catharines into a Creative Cluster

The City of St. Catharines, located on the southern shore of Lake Ontario, is Niagara Region's only major urban node. Like many small/medium-sized cities in Canada and abroad, the city experienced a rapid decline of large-scale manufacturing in the 1990s. In a renewed attempt to recover from this economic depression, and spurred by Provincial policy, the City implemented the Downtown Creative Cluster Master Plan (DCCMP) in 2008. In this thesis I conduct a discourse analysis of the DCCMP. My analysis indicates that DCCMP is shaped by neoliberal economic development paradigms. As such it is designed to restructure the downtown into a creative cluster by attracting developers/investors and appealing to the interests, tastes, and desires of middle-class consumers and creatives. I illustrate that this competitive city approach to urban planning has a questionable track record, and has been shown to result in retail and residential gentrification and displacement.

Feature Selection and Classification Using Age Layered Population Structure Genetic Programming

The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is NP hard. Sub–optimal population based stochastic algorithms such as GP and GA are good choices for searching through large search spaces, and are usually more feasible than exhaustive and deterministic search algorithms. On the other hand, population based stochastic algorithms often suffer from premature convergence on mediocre sub–optimal solutions. The Age Layered Population Structure (ALPS) is a novel metaheuristic for overcoming the problem of premature convergence in evolutionary algorithms, and for improving search in the fitness landscape. The ALPS paradigm uses an age–measure to control breeding and competition between individuals in the population. This thesis uses a modification of the ALPS GP strategy called Feature Selection ALPS (FSALPS) for feature subset selection and classification of varied supervised learning tasks. FSALPS uses a novel frequency count system to rank features in the GP population based on evolved feature frequencies. The ranked features are translated into probabilities, which are used to control evolutionary processes such as terminal–symbol selection for the construction of GP trees/sub-trees. The FSALPS metaheuristic continuously refines the feature subset selection process whiles simultaneously evolving efficient classifiers through a non–converging evolutionary process that favors selection of features with high discrimination of class labels. We investigated and compared the performance of canonical GP, ALPS and FSALPS on high–dimensional benchmark classification datasets, including a hyperspectral image. Using Tukey’s HSD ANOVA test at a 95% confidence interval, ALPS and FSALPS dominated canonical GP in evolving smaller but efficient trees with less bloat expressions. FSALPS significantly outperformed canonical GP and ALPS and some reported feature selection strategies in related literature on dimensionality reduction.

Feature Selection and Classification Using Age Layered Population Structure Genetic Programming

The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is NP hard. Sub–optimal population based stochastic algorithms such as GP and GA are good choices for searching through large search spaces, and are usually more feasible than exhaustive and determinis- tic search algorithms. On the other hand, population based stochastic algorithms often suffer from premature convergence on mediocre sub–optimal solutions. The Age Layered Population Structure (ALPS) is a novel meta–heuristic for overcoming the problem of premature convergence in evolutionary algorithms, and for improving search in the fitness landscape. The ALPS paradigm uses an age–measure to control breeding and competition between individuals in the population. This thesis uses a modification of the ALPS GP strategy called Feature Selection ALPS (FSALPS) for feature subset selection and classification of varied supervised learning tasks. FSALPS uses a novel frequency count system to rank features in the GP population based on evolved feature frequencies. The ranked features are translated into probabilities, which are used to control evolutionary processes such as terminal–symbol selection for the construction of GP trees/sub-trees. The FSALPS meta–heuristic continuously refines the feature subset selection process whiles simultaneously evolving efficient classifiers through a non–converging evolutionary process that favors selection of features with high discrimination of class labels. We investigated and compared the performance of canonical GP, ALPS and FSALPS on high–dimensional benchmark classification datasets, including a hyperspectral image. Using Tukey’s HSD ANOVA test at a 95% confidence interval, ALPS and FSALPS dominated canonical GP in evolving smaller but efficient trees with less bloat expressions. FSALPS significantly outperformed canonical GP and ALPS and some reported feature selection strategies in related literature on dimensionality reduction.

New Feature at Niagara – Clark Hill Islands

New Feature at Niagara – Clark Hill Islands (5 islands situated in the rapids of the Niagara River). These islands are currently known as Dufferin Islands, 22 ½ cm. x 15 ½ cm, n.d.

Factores clave para el proceso de gestión de la innovación en el desarrollo de nuevos productos para el sector PYMES, estudio cluster de tecnologías de información en Nuevo León.

Tesis (Doctor en Filosofía con Especialidad en Administración) UANL, 2010.

Factores que impulsan la colaboración interempresarial en la etapa de conformación de Clusters: el caso de Cluster automotriz de Nuevo León.

Tesis (Doctor en Filosofía con Especialidad en Administración) UANL, 2012.

Les déficits cognitifs peuvent-ils aider à distinguer un trouble psychotique avec toxicomanie d’une psychose induite par consommation de méthamphétamines?

Introduction – Dissocié un trouble psychiatrique primaire (TPP) concomitant à un problème d’abus de substances d’une psychose induite par consommation de substance (PICS) peut être une tâche difficile puisque plusieurs symptômes sont similaires. La dichotomie entre les symptômes négatifs et les symptômes positifs de la schizophrénie a été suggéré comme étant un indicateur puisque les symptômes négatifs ne sont pas caractéristiques d’un double diagnostic (Potvin, Sepehry, & Stip, 2006). Objectif – Cette étude explore la possibilité de distinguer des sous-groupes au sein de notre échantillon en utilisant le fonctionnement cognitif en vue d’identifier des facteurs qui permettraient un meilleur défférentiel entre un TPP concomitant à un problème d’abus de substance d’une psychose induite par consommation de méthamphétamines (MA). L’hypothèse stipule que les individus avec un TPP présenteraient des déficits cognitifs différents comparativement aux individus avec une PICS. Méthode – Les données utilisés font parties d’une étude longitudinale qui s’est déroulée à Vancouver, CB, Canada. 172 utilsateurs de MA et présentant une psychose ont été recruté. L’utilisation de substances, la sévérité des symptômes et des déficits cognitifs ont été évalué. Résultats – Des analyses par regroupement ont révélé deux profiles: les individus du Groupe 1 ont une performance inférieure au score total du Gambling task (M=-28,1) ainsi qu’un pourcentage de rétention inférieur au Hopkins Verbal Learning Test – Revised (HVLT- R; M=63) comparativement à ceux du Groupe 2. Les individus du Groupe 1 ont plus de symptômes négatifs, t=2,29, p<0.05 et ont plus tendance à avoir reçu un diagnostic psychiatrique, X2(3) = 16.26, p< 0.001. Conclusion – Les résultats suggèrent que des facteurs cognitifs pourraient aider à identifier un TPP concomitant à l’abus de MA.