Additional file 1 of The relationship between stochastic and deterministic quasi-steady state approximations

Figures S1–S6 and Table S1. Figure S1. Normalization of fast variables improves the numerical method testing the accuracy of the stochastic QSSA with Eq. 8. Figure S2. The distribution of R at steady state from the stochastic simulations of the full (Eqs. 1–3) and reduced model (Eq. 5) corresponding to Fig. 2 a–b. Figure S3. The distribution of S at steady state from the stochastic simulations of the full (Eq. 9) and reduced model (Eq. 10). Figure S4. The accuracy of deterministic QSSAs depends on the initial conditions. Figure S5. Fourier transforms of trajectories obtained from stochastic simulations. Figure S6. Different reductions of the negative feedback loop model with enzymatic degradation. Table S1. The propensity functions used for the stochastic simulations. (PDF 769 kb

Additional file 1: of Role of Notch1 in the arterial specification and angiogenic potential of mouse embryonic stem cell-derived endothelial cells

Table S1. Mouse primer sequences used in qRT-PCR. (DOCX 18 kb

Additional file 2: of The application rate for urology specialty compared with other specialties from 2007 to 2014 in Korea: is it influenced by social interest manifested by internet trends?

Table S2. Social interest as assessed by Naver trends from 2007 to 2014. (DOCX 17 kb

Additional file 4: of The application rate for urology specialty compared with other specialties from 2007 to 2014 in Korea: is it influenced by social interest manifested by internet trends?

Figure S1. Trends in social interest of bladder cancer and prostate cancer for each specialties assessed using Naver and Google trend. (TIF 158 kb

Additional file 1: of Concomitant, sequential, and 7-day triple therapy in first-line treatment of Helicobacter pylori infection in Korea: study protocol for a randomized controlled trial

SPIRIT 2013 checklist: recommended items to address in a clinical trial protocol and related documents. (TIF 3398 kb

Additional file 1: Table S1. of Lifetime use of nonsteroidal anti-inflammatory drugs and breast cancer risk: results from a prospective study of women with a sister with breast cancer

Comparison of HRs (95 % CIs) for breast cancer in relation to pill-years of use of different types of NSAIDs with additional adjustment for use of exogenous hormones, alcohol consumption and physical activity, the Sister Study (2003–2013). Table S2. Associations between pill-years of NSAID use and ductal carcinoma in situ versus invasive breast cancer, the Sister Study (2003–2013). Table S3. Associations between pill-years of NSAID use in the past 5 years and breast cancer risk by menopause status, the Sister Study (2003–2013). Table S4. High pill-years of NSAID use and breast cancer risk among premenopausal women by timing of reproductive events, the Sister Study (2003–2013). (DOCX 141 kb

Additional file 1: of Mecasin treatment in patients with amyotrophic lateral sclerosis: study protocol for a randomized controlled trial

SPIRIT 2013 Checklist: Recommended items to address in a clinical trial protocol and related documents*. (DOC 125 kb

Additional file 1: of An information and communication technology-based centralized clinical trial to determine the efficacy and safety of insulin dose adjustment education based on a smartphone personal health record application: a randomized controlled trial

Informed consent form. (PDF 372 kb

Towards expressive stream reasoning

Stream Data processing has become a popular topic in database research addressing the challenge of efficiently answering queries over continuous data streams. Meanwhile data streams have become more and more important as a basis for higher level decision processes that require complex reasoning over data streams and rich background knowledge. In previous work the foundation for complex reasoning over streams and background knowledge was laid by introducing technologies for wrapping and querying streams in the RDF data format and by supporting simple forms of reasoning in terms of incremental view maintenance. In this paper, we discuss how this existing technologies should be extended toward richer forms of reasoning using Sensor Networks as a motivating example

MOESM3 of Glycated albumin and its variability as an indicator of cardiovascular autonomic neuropathy development in type 2 diabetic patients

Additional file 3. Supplementary tables