A systematic review and meta-analysis of e-Mental Health interventions to treat symptoms of post-traumatic stress

Quality control of RNA-seq data: Box Plot of transcript quantification levels. The distributions of FPKM scores across samples are visualized. (PDF 130 kb

第1059回千葉医学会例会・第2回呼吸器内科例会(第16回呼吸器内科同門会)

Additional file 4. Diseases prevention and control provided and medical services availabilities in different villages and camps

The language of religious affiliation: social, emotional, and cognitive differences

Religious affiliation is an important identifying characteristic for many individuals and relates to numerous life outcomes including health, well-being, policy positions, and cognitive style. Using methods from computational linguistics, we examined language from 12,815 Facebook users in the United States and United Kingdom who indicated their religious affiliation. Religious individuals used more positive emotion words (β = .278, p < .0001) and social themes such as family (β = .242, p < .0001), while nonreligious people expressed more negative emotions like anger (β = −.427, p < .0001) and categories related to cognitive processes, like tentativeness (β = −.153, p < .0001). Nonreligious individuals also used more themes related to the body (β = −.265, p < .0001) and death (β = −.247, p < .0001). The findings offer directions for future research on religious affiliation, specifically in terms of social, emotional, and cognitive differences

Comparison between the newly annotated CDS and AgamP3.4 CDS.

<p>We expanded the <i>Anopheles gambiae</i> annotation by increasing the completion rate through extension of genes and discovered more than 2,000 EST-supported novel genes without over-prediction.</p

Transcript structure variation (TSV) locations and length difference in <i>Anopheles gambiae</i>.

<p><b>Left panel</b> shows the detail of variation locations and length differences in different TSV types. For all TSV types, the open reading frames of variations within CDS regions are conserved. <b>Right panel</b> shows the summary of variation locations and length differences. The green and red colors in the inner circle represent in-frame and out-of-frame variations respectively. More than 65% of variations at CDS regions are in-frame, while variations at un-translated regions (UTR) tend to be out-of-frame. Therefore, most transcript structure variations just insert or delete some amino acids without changing the protein structures. The data also show that more variations are at 5′-UTR than at 3′-UTR, which suggests the higher efficiency on gene regulation at 5′-UTR than 3′-UTR.</p

Transcript structure variations of <i>Anopheles gambiae</i> mosquitoes.

<p><b>Upper panel</b> is a diagram illustrating the variation types. White boxes are exons in mRNA, and black boxes are parts of exons in some mRNA and parts of introns in others. The sites connected by lines are splicing sites. The “Others” type includes alternative transcript initialization, major gene structure changes or types that cannot be summarized by the other five categories. <b>Lower panel</b> shows the frequency distribution of transcript structure variation types in <i>A. gambiae</i>.</p

A map showing the study sites.

<p>A map showing the study sites.</p

Summary of age distribution and clinical manifestation of enrolled patients sent to the labs for malaria test.

<p>Summary of age distribution and clinical manifestation of enrolled patients sent to the labs for malaria test.</p

Summary of age distribution and clinical manifestation of patients presumptively treated by clinicians without a labs test for malaria.

<p>Summary of age distribution and clinical manifestation of patients presumptively treated by clinicians without a labs test for malaria.</p

Summary of malaria diagnosis and treatment practice by the clinicians for patients sent to the lab by clinician for malaria test.

<p>Summary of malaria diagnosis and treatment practice by the clinicians for patients sent to the lab by clinician for malaria test.</p