11 research outputs found
A Particle Supply Device for Heat Storage Particle Flow Type Heat Exchanger
In solar power generation of this study, stroage particles heated by a solar receiver are put into a heat exchanger and directly contacted with the working fluid to exchange heat and drive a heat engine. It is difficult to continuously supply storage particles to a solar receiver and exchange heat because it is a batch type heat storage device up to now. In order to drive a heat engine and generate electricity while heating by solar heat, it is necessary to develop a system that continuously exchanges heat with the working fluid and heat storage particles. However, there is a pressure difference between the receiver and the heat exchanger, and the working fluid of the heat engine leaks when the heat storage particles flow. Therefore, the purpose of this study is to transport the heat storage particles to the heat exchanger from the solar receiver without leakage of the working fluid. Two valve mechanisms were used to prevent leakage of the working fluid.departmental bulletin pape
Rapid socio-economic changes, psychosocial factors and prevalence of hypertension among men and women aged 55 years at baseline in Estonia: a 13-year follow-up study
<p><b>Background:</b> Hypertension is an important public health problem which causes premature morbidity and mortality. Cardiovascular diseases are responsible for about 55% of deaths in Estonia.</p> <p><b>The purpose of the study:</b> was to assess, through a follow-up period, the prevalence of hypertension and to observe which risk factors of cardiovascular disease impact the occurrence of the disease. The second aim of the study was to evaluate the role of psychosocial factors and personality traits among individuals with a diagnosis of hypertension.</p> <p><b>Materials and methods:</b> The 330 subjects from Estonia, aged 55 years at baseline, from among whom 219 participated at follow-up. A cross-sectional study based on a self-reported questionnaire was conducted.</p> <p><b>Results:</b> Over 13 years, the prevalence of hypertension increased from 4% to 53%. Obese (body mass index ≥30 kg/m<sup>2</sup>) individuals were four times more likely to belong to the hypertension group (<i>p</i> < .01). Among individuals with hypertension the depressed mood score was ≥4 points (max. 9 points) in 54.3% of participants. Depressed mood was linked with experiencing negative stressful life events (B = 0.047, 95% CI 0.016; 0.079; <i>p</i> < .01). Mastery had a protective impact on depressed mood. The self-rated quality of life score was lower among subjects with hypertension than among those who were not diagnosed with hypertension (<i>p</i> < .05).</p> <p><b>Conclusions:</b> According to the 13-year follow-up study, rapid socio-economic changes in Estonia have affected psychosocial health factors among 55-year-old individuals with a diagnosis of hypertension. There is a significant relationship between obesity and the development of hypertension.</p
Identification of putative transciption regulating elements within human intron 1
<p><b>Copyright information:</b></p><p>Taken from "Resequencing in European hypertensive and normotensive individuals: no common susceptibilily variants for hypertension and purifying selection on intron 1"</p><p>http://www.biomedcentral.com/1471-2350/8/47</p><p>BMC Medical Genetics 2007;8():47-47.</p><p>Published online 23 Jul 2007</p><p>PMCID:PMC1947951.</p><p></p> Putative transcription factors binding sites (TFBS) predicted by MatInspector 2.2 software and regulatory elements identified by manual inspection are depicted upon the sequence of intron 1 (951 bp). The Glucocorticoid Responsive Element (GRE; consensus GGTACAnnnTGTTCT), a core for a potential Glucocorticoid Responsive Unit (GRU), is given in bold. The human-specific element is underlined. The two-directional arrows indicate the predicted binding sites for regulatory factors: IRE – Insulin Responsive Element (consensus T(G/A)TTT(T/G)(G/T)); ERE – Estrogen Responsive Element (consensus GGTCAnnnTGACC); NFκB – Nuclear Factor kappa B; Sp1/2 – Specificity protein 1/2; Egr1 – Early Growth Response 1; MAZ – Myc-Associated Zinc finger protein; ZBP-89 – Zinc finger Binding Protein 148, ZNF148; HMGI/Y – High Mobility Group protein isoform I and Y, HMGA1; RORA (RORα) – Retinoic acid receptor-related Orphan Receptor α; E4BP4 – mammalian transcription factor E4 Binding Protein 4
Upper white bar depicts the positions of identified SNPs (Table 2) relative to the location of gene ATG (A denoted as 1)
Singleton polymorphisms were excluded from calculations.<p><b>Copyright information:</b></p><p>Taken from ", a positional candidate for blood pressure and renal regulation: resequencing, association and study"</p><p>http://www.biomedcentral.com/1471-2350/9/25</p><p>BMC Medical Genetics 2008;9():25-25.</p><p>Published online 10 Apr 2008</p><p>PMCID:PMC2330028.</p><p></p
Arrows pointing at polymorphic amino acid positions (14 Arg-His, 73 Ala-Val, 121 Met-Thr, 130 Pro-Pro, 143 Phe-Ser)
<p><b>Copyright information:</b></p><p>Taken from ", a positional candidate for blood pressure and renal regulation: resequencing, association and study"</p><p>http://www.biomedcentral.com/1471-2350/9/25</p><p>BMC Medical Genetics 2008;9():25-25.</p><p>Published online 10 Apr 2008</p><p>PMCID:PMC2330028.</p><p></p
Mean effect across BMI strata of allelic substitutions at representative variants displaying genome-wide significant association with SU in at least one BMI stratum and displaying nominally significant difference in effect size across BMI strata.
<p>Effect size is on standardised age-adjusted SU levels. Error bars indicate the standard errors of the mean effect estimates within a BMI category. Horizontal lines indicate nominally significant (p < 0.05) differences in mean effect sizes between BMI categories, ** indicates significance at the 1% level taking into account the multiple comparisons performed. Differences in mean effect sizes between BMI strata were tested pairwise using the classical z-test, and P<sub>diff</sub> denotes the 2-sided test corresponding P-value. Lean: BMI < 25 kg/m<sup>2</sup>, overweight: 25 ≤ BMI ≤ 30 kg/m<sup>2</sup>, obese: BMI > 30 kg/m<sup>2</sup>.</p
Forest plots of effect sizes within BMI stratum for variants with the two most significant mean effect size differences between BMI stratum.
<p>A. <i>RBMS1</i>-<i>TANK</i> locus and B. <i>TSPYL5</i> locus. The overall inverse—variance-weighted mean effect per BMI stratum is calculated assuming fixed effect across studies and represented by a lozenge, associated P-value displayed as P. Measure of heterogeneity between studies is reported (I-squared) with associated P-value for significance (p). P<sub>diff</sub> is the test of difference in mean-effect size P-value. For study abbreviations and references, see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0119752#pone.0119752.s005" target="_blank">S1 Table</a>.</p
