Que sont nos seniors devenus ? Les seniors, un public-cible en devenir pour les bibliothèques

Mémoire de fin d\u27étude du diplôme de conservateur, promotion 22 portant sur le public des seniors en bibliothèque

Bench-to-bedside review: Glucose and stress conditions in the intensive care unit

The physiological response to blood glucose elevation is the pancreatic release of insulin, which blocks hepatic glucose production and release, and stimulates glucose uptake and storage in insulin-dependent tissues. When this first regulatory level is overwhelmed (that is, by exogenous glucose supplementation), persistent hyperglycaemia occurs with intricate consequences related to the glucose acting as a metabolic substrate and as an intracellular mediator. It is thus very important to unravel the glucose metabolic pathways that come into play during stress as well as the consequences of these on cellular functions. During acute injuries, activation of serial hormonal and humoral responses inducing hyperglycaemia is called the 'stress response'. Central activation of the nervous system and of the neuroendocrine axes is involved, releasing hormones that in most cases act to worsen the hyperglycaemia. These hormones in turn induce profound modifications of the inflammatory response, such as cytokine and mediator profiles. The hallmarks of stress-induced hyperglycaemia include 'insulin resistance' associated with an increase in hepatic glucose output and insufficient release of insulin with regard to glycaemia. Although both acute and chronic hyperglycaemia may induce deleterious effects on cells and organs, the initial acute endogenous hyperglycaemia appears to be adaptive. This acute hyperglycaemia participates in the maintenance of an adequate inflammatory response and consequently should not be treated aggressively. Hyperglycaemia induced by an exogenous glucose supply may, in turn, amplify the inflammatory response such that it becomes a disproportionate response. Since chronic exposure to glucose metabolites, as encountered in diabetes, induces adverse effects, the proper roles of these metabolites during acute conditions need further elucidation

NOSQL VS RDBMS - WHY THERE IS ROOM FOR BOTH

The relational database or RDBMS has been the dominant model for database management since it was developed by Edgar Codd in 1970 (Shuxin and Indrakshi, 2005). However, a new database model called NoSQL is gaining significant attention in the enterprise. NoSQL databases are non-relational data stores that have been employed in massively scaled web site scenarios, where traditional relational database features matter less, and the improved performance of retrieving relatively simple data sets matters most. The relational database model and the NoSQL database model are each good for specific applications. Depending on what problem the organization is trying to solve, it will determine if a NoSQL database model should be used or if a relational database model should be used. Also, some organizations may choose to use a hybrid mix of NoSQL databases and relational databases

Fast Inverse Distance Weighting-Based Spatiotemporal Interpolation: A Web-Based Application of Interpolating Daily Fine Particulate Matter PM\u3csub\u3e2.5\u3c/sub\u3e in the Contiguous U.S. Using Parallel Programming and k-d Tree

Epidemiological studies have identified associations between mortality and changes in concentration of particulate matter. These studies have highlighted the public concerns about health effects of particulate air pollution. Modeling fine particulate matter PM2.5exposure risk and monitoring day-to-day changes in PM2.5 concentration is a critical step for understanding the pollution problem and embarking on the necessary remedy. This research designs, implements and compares two inverse distance weighting (IDW)-based spatiotemporal interpolation methods, in order to assess the trend of daily PM2.5 concentration for the contiguous United States over the year of 2009, at both the census block group level and county level. Traditionally, when handling spatiotemporal interpolation, researchers tend to treat space and time separately and reduce the spatiotemporal interpolation problems to a sequence of snapshots of spatial interpolations. In this paper, PM2.5 data interpolation is conducted in the continuous space-time domain by integrating space and time simultaneously, using the so-called extension approach. Time values are calculated with the help of a factor under the assumption that spatial and temporal dimensions are equally important when interpolating a continuous changing phenomenon in the space-time domain. Various IDW-based spatiotemporal interpolation methods with different parameter configurations are evaluated by cross-validation. In addition, this study explores computational issues (computer processing speed) faced during implementation of spatiotemporal interpolation for huge data sets. Parallel programming techniques and an advanced data structure, named k-d tree, are adapted in this paper to address the computational challenges. Significant computational improvement has been achieved. Finally, a web-based spatiotemporal IDW-based interpolation application is designed and implemented where users can visualize and animate spatiotemporal interpolation results

Triad Relationships and Member Satisfaction with Paired Placement of Student Teachers

Abstract: This study determined triad (a mentor teacher and two student teachers) members’ level of satisfaction (LOS) with paired-placement student teaching, focusing on mutuality and homophily to explore how triad relationships were linked to LOS. The constant comparative method was used to code interview transcripts and field notes. Results showed that of the six satisfied triads, five had mutuality, homophily, strong triad cohesion, and collaborative student teachers. Partially satisfied (four) and dissatisfied (two) triads experienced lack of mutuality and homophily, weak triad cohesion, and uncollaborative student teachers. Recommendations include providing formal training about triad relationships, considering mutuality and homophily when making placements, and placing weaker students in a solo experience

Transverse Cerebellar Diameter On Cranial Ultrasound Scan In Preterm Neonates In An Australian Population

Objective: Fetal measurement of transverse cerebellar diameter (TCD) has been shown to correlate well with gestational age (GA), even in the presence of growth retardation. The aim of this study was to define the normal range of TCD in preterm neonates in an Australian population between 23 and 32 weeks GA. Methodology: Infants admitted to the Royal Women's Hospital, Melbourne, having routine cranial ultrasound scans (< 1500 g and/or of gestational age 32 weeks at birth) had their TCD measured on a cranial scan performed during the first 3 days of life. The posterior fossa was examined through the asterion using a General Electric LOGIQ 500 scanner (GE Medical Systems, Waukesha, USA) and TCD measurement was taken in the coronal plane. Results: 106 infants < 1500 g and/or of GA 32 weeks at birth had their TCD measured between 1 January 1997 and 30 November 1997. Transverse cerebellar diameter and associated 95% confidence intervals are described for infants between 23 and 32 weeks GA. The linear regression equation relating TCD and GA was: TCD (mm) = 12.9 + 1.61 GA (weeks). R2 = 0.80, P< 0.001. Conclusion: This is the only study of TCD measurement using cranial ultrasound in a group of preterm newborns, and forms the basis for nomograms of TCD which can be used as a tool to assist in the assessment of GA, even in growth-retarded preterm newborns, and in the diagnosis of cerebellar hypoplasia