Rapid increases in obesity in Jamaica, compared to Nigeria and the United States-3

Ups in Illinois, United States. Data were collected between 1984 and 2006 for all adults 20–75 years of age, as part of the Behavioral Risk Factors Surveillance System (BRFSS). ● Black Males, ▲ White Males, ■ Black Females, ◆ White Females. Estimated rate of weight change (standard errors) among these groups are: 0.47(0.05), 0.38 (0.01), 0.60(0.04), and 0.37 (0.02) for Black Males, White Males, Black Females and White Females, respectively.<p><b>Copyright information:</b></p><p>Taken from "Rapid increases in obesity in Jamaica, compared to Nigeria and the United States"</p><p>http://www.biomedcentral.com/1471-2458/8/133</p><p>BMC Public Health 2008;8():133-133.</p><p>Published online 23 Apr 2008</p><p>PMCID:PMC2390537.</p><p></p

Rapid increases in obesity in Jamaica, compared to Nigeria and the United States-0

by time between measurements) by country, Nigeria, Jamaica, and the US for each of three BMI categories (BMI < 25, 25 = 30). Data were collected from 1995 to 1999 from Nigeria, Jamaica and the United States (US). Only participants with at least two weight determinations are depicted in this figure.<p><b>Copyright information:</b></p><p>Taken from "Rapid increases in obesity in Jamaica, compared to Nigeria and the United States"</p><p>http://www.biomedcentral.com/1471-2458/8/133</p><p>BMC Public Health 2008;8():133-133.</p><p>Published online 23 Apr 2008</p><p>PMCID:PMC2390537.</p><p></p

Rapid increases in obesity in Jamaica, compared to Nigeria and the United States-2

by time between measurements) by country, Nigeria, Jamaica, and the US for each of three BMI categories (BMI < 25, 25 = 30). Data were collected from 1995 to 1999 from Nigeria, Jamaica and the United States (US). Only participants with at least two weight determinations are depicted in this figure.<p><b>Copyright information:</b></p><p>Taken from "Rapid increases in obesity in Jamaica, compared to Nigeria and the United States"</p><p>http://www.biomedcentral.com/1471-2458/8/133</p><p>BMC Public Health 2008;8():133-133.</p><p>Published online 23 Apr 2008</p><p>PMCID:PMC2390537.</p><p></p

Enrichment for functional annotations and cell-type groups using stratified LD score regression.

<p><b>A.</b> Enrichment estimates of 24 main annotations for each of four BP traits. Annotations are ordered by size. Error bars represent jackknife standard errors around the estimates of enrichment, and stars indicate significance at P < 0.05 after Bonferroni correction for 24 hypotheses tested and four BP traits. <b>B.</b> Significance of enrichment of 10 cell-type groups for four BP traits. Dotted line and stars indicate significance at P < 0.05 after Bonferroni correction for 10 hypotheses tested and four BP traits.</p

Intelligent Forecasting of Electricity Demand

In this paper, a number of approaches to the modelling of electricity demand, on a variety of time-scales, are considered. These approaches fall under the category of 'intelligent' systems engineering, where techniques such as neural networks, fuzzy logic and genetic algorithms are employed. The paper attempts to give some motivation for the employment of such techniques, while also making some effort to be realistic about the limitations of such methods, in particular a number of important caveats that should be borne in mind when utilising these techniques within the current application domain. In general, the electricity demand data is modelled as a time series, but one application considered involves application of linguistic modelling to capture operator expertise

Enrichment for functional annotations and cell-type groups using stratified LD score regression.

<p><b>A.</b> Enrichment estimates of 24 main annotations for each of four BP traits. Annotations are ordered by size. Error bars represent jackknife standard errors around the estimates of enrichment, and stars indicate significance at P < 0.05 after Bonferroni correction for 24 hypotheses tested and four BP traits. <b>B.</b> Significance of enrichment of 10 cell-type groups for four BP traits. Dotted line and stars indicate significance at P < 0.05 after Bonferroni correction for 10 hypotheses tested and four BP traits.</p

Relative renal mRNA levels of genes identified at baseline and after 2 weeks of Ang II-induced hypertension.

<p><i>HPRT</i> gene was used for normalization. N ≥ 5 in each group. <b>A.</b> Genes that were differentially expressed between baseline and Ang II conditions. <b>B.</b> Genes that were not altered between the two conditions. * P < 0.05. ** P < 0.01. *** P < 0.001.</p

Loci identified in combined COGENT-BP African ancestry discovery samples and multi-ethnic replication samples.

<p>Loci identified in combined COGENT-BP African ancestry discovery samples and multi-ethnic replication samples.</p

Study design schematic for discovery and replication of loci.

<p>QC, quality control; SBP, systolic blood pressure; DBP, diastolic blood pressure; PP, pulse pressure; HTN, hypertension; eQTL, expression quantitative loci.</p

Identification of four independent LD blocks in the 8p23.1 region <i>(~3</i>.<i>3 MBs</i>).

<p>Identification of four independent LD blocks in the 8p23.1 region <i>(~3</i>.<i>3 MBs</i>).</p