Measurement of the Spin Correlation Parameters all and Asl for the Reaction Pp-]D-Pi+ in the Energy Region 500-800 Mev

Journals published by the American Physical Society can be found at http://publish.aps.org

Neutron-Proton Analyzing Power Measurements from 375 to 775 Mev

Journals published by the American Physical Society can be found at http://publish.aps.org

Burning out physical and emotional fatigue : evaluating the effects of a progamme aimed at reducing burnout amongst mental health nurses

Burnout is a common problem among mental health nurses. High levels of burnout result in job dissatisfaction, rapid turnover of staff, physical and psychological discomfort, and a reduction in the quality of patient care. While there is an abundance of research relating to burnout per se, research regarding the impact of burnout prevention programmes is lacking. This study aimed to measure the effects of a burnout prevention programme on mental health nurses working in Saudi Arabia (SA). A quasi-experimental design was used to test the effectiveness of a two-day burnout prevention workshop. The sample consisted of an intervention group (n=154) and a control group (n=142). Data collected using the Maslach Burnout Inventory (MBI) measured the effects of the workshop at one, three and six month intervals after completion of the programme. Data were analysed using the latest version of SPSS. Means, standard deviations, frequencies and percentages were used to describe the sample and levels of burnout. A t-test, ANOVA, Multiple linear regression and chi squared were used to measure the effect of the workshop before and at the three time points after exposure. Findings indicate the program was effective with a significant reduction being reported one month after the intervention. However, although not returning to baseline scores, burnout scores had increased at six months. In conclusion, while the overall efficacy of the burnout reduction program is evident, mental health nurses would benefit from having opportunity to use some of the strategies on a regular basis

Measurements of Spin-Correlation Parameters all and Asl for P-]P-]-]Pid between 500 and 800 Mev

Journals published by the American Physical Society can be found at http://publish.aps.org

Bifidobacterium bifidum Actively Changes the Gene Expression Profile Induced by Lactobacillus acidophilus in Murine Dendritic Cells

Dendritic cells (DC) play a pivotal regulatory role in activation of both the innate as well as the adaptive immune system by responding to environmental microorganisms. We have previously shown that Lactobacillus acidophilus induces a strong production of the pro-inflammatory and Th1 polarizing cytokine IL-12 in DC, whereas bifidobacteria do not induce IL-12 but inhibit the IL-12 production induced by lactobacilli. In the present study, genome-wide microarrays were used to investigate the gene expression pattern of murine DC stimulated with Lactobacillus acidophilus NCFM and Bifidobacterium bifidum Z9. L. acidophilus NCFM strongly induced expression of interferon (IFN)-β, other virus defence genes, and cytokine and chemokine genes related to the innate and the adaptive immune response. By contrast, B. bifidum Z9 up-regulated genes encoding cytokines and chemokines related to the innate immune response. Moreover, B. bifidum Z9 inhibited the expression of the Th1-promoting genes induced by L. acidophilus NCFM and had an additive effect on genes of the innate immune response and Th2 skewing genes. The gene encoding Jun dimerization protein 2 (JDP2), a transcription factor regulating the activation of JNK, was one of the few genes only induced by B. bifidum Z9. Neutralization of IFN-β abrogated L. acidophilus NCFM-induced expression of Th1-skewing genes, and blocking of the JNK pathway completely inhibited the expression of IFN-β. Our results indicate that B. bifidum Z9 actively inhibits the expression of genes related to the adaptive immune system in murine dendritic cells and that JPD2 via blocking of IFN-β plays a central role in this regulatory mechanism

Identification of ICF categories relevant for nursing in the situation of acute and early post-acute rehabilitation

<p>Abstract</p> <p>Background</p> <p>The recovery of patients after an acute episode of illness or injury depends both on adequate medical treatment and on the early identification of needs for rehabilitation care. The process of early beginning rehabilitation requires efficient communication both between health professionals and the patient in order to effectively address all rehabilitation goals. The currently used nursing taxonomies, however, are not intended for interdisciplinary use and thus may not contribute to efficient rehabilitation management and an optimal patient outcome. The ICF might be the missing link in this communication process. The objective of this study was to identify the categories of the International Classification of Functioning, Disability and Health (ICF) categories relevant for nursing care in the situation of acute and early post-acute rehabilitation.</p> <p>Methods</p> <p>First, in a consensus process, "Leistungserfassung in der Pflege" (LEP) nursing interventions relevant for the situation of acute and early post-acute rehabilitation were selected. Second, in an integrated two-step linking process, two nursing experts derived goals of LEP nursing interventions from their practical knowledge and selected corresponding ICF categories most relevant for patients in acute and post-acute rehabilitation (ICF Core Sets).</p> <p>Results</p> <p>Eighty-seven percent of ICF Core Set categories could be linked to goals of at least one nursing intervention variable of LEP. The ICF categories most frequently linked with LEP nursing interventions were respiration functions, experience of self and time functions and focusing attention. Thirteen percent of ICF Core Set categories could not be linked with LEP nursing interventions. The LEP nursing interventions which were linked with the highest number of different ICF-categories of all were "therapeutic intervention", "patient-nurse communication/information giving" and "mobilising".</p> <p>Conclusion</p> <p>The ICF Core Sets for the acute hospital and early post-acute rehabilitation facilities are highly relevant for rehabilitation nursing. Linking nursing interventions with ICF Core Set categories is a feasible way to analyse nursing. Using the ICF Core Sets to describe goals of nursing interventions both facilitates inter-professional communication and respects patient's needs. The ICF may thus be a useful framework to set nursing intervention goals.</p

BaSysBio: Towards an understanding of dynamic transcriptional regulation at global scale in bacteria: a systems biology approach

9th International Conference on Systems Biology, ICSB 2008, 22-28 August, Goteborg, SwedenBaSysBio adopts a systems biology approach in which quantitative experimental data will be generated for each step of the information flow and will fuel computational modelling. High throughput technologies (living cell arrays, tiling DNA microarrays, MDLC proteomics and quantitative metabolomics) will be developed in conjunction with new computational modelling concepts to facilitate the understanding of biological complexity. Models will simulate the cellular transcriptional responses to environmental changes and their impact on metabolism and proteome dynamics. The iterative process of simulations and model-driven targeted experiments will generate novel hypotheses about the mechanistic nature of dynamic cellular responses, unravel emerging systems properties and ultimately provide an efficient roadmap to tackle novel, pathogenic organismsN

Triad pattern algorithm for predicting strong promoter candidates in bacterial genomes

Abstract Background Bacterial promoters, which increase the efficiency of gene expression, differ from other promoters by several characteristics. This difference, not yet widely exploited in bioinformatics, looks promising for the development of relevant computational tools to search for strong promoters in bacterial genomes. Results We describe a new triad pattern algorithm that predicts strong promoter candidates in annotated bacterial genomes by matching specific patterns for the group I σ70 factors of Escherichia coli RNA polymerase. It detects promoter-specific motifs by consecutively matching three patterns, consisting of an UP-element, required for interaction with the α subunit, and then optimally-separated patterns of -35 and -10 boxes, required for interaction with the σ70 subunit of RNA polymerase. Analysis of 43 bacterial genomes revealed that the frequency of candidate sequences depends on the A+T content of the DNA under examination. The accuracy of in silico prediction was experimentally validated for the genome of a hyperthermophilic bacterium, Thermotoga maritima, by applying a cell-free expression assay using the predicted strong promoters. In this organism, the strong promoters govern genes for translation, energy metabolism, transport, cell movement, and other as-yet unidentified functions. Conclusion The triad pattern algorithm developed for predicting strong bacterial promoters is well suited for analyzing bacterial genomes with an A+T content of less than 62%. This computational tool opens new prospects for investigating global gene expression, and individual strong promoters in bacteria of medical and/or economic significance.</p