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People with type 2 Diabetes have an elevated risk for developing cardiovascular disease (CVD) for which dyslipidemia is the major contributor. Diabetic patients have characteristic pattern of dyslipidemia with decreased level of high density lipoprotein cholesterol (HDL-C) and elevated triglycerides (TG) level. However, in diabetes mellitus, low density lipoprotein cholesterol (LDL-C) which is used as one of the markers for the risk of CVD, is underestimated so in such cases the levels of non-High density lipoprotein cholesterol (non-HDL-C) can be a stronger predictor of CVD as it strongly correlates with atherogenic lipoproteins. Therefore, an attempt has been made to evaluate the level of non-HDL-C as a newer marker for the risk of cardiovascular disease and to fi nd out the pattern of dyslipidemia in diabetes mellitus. The present study comprised of 82 type 2 Diabetic cases and 81 non-diabetic controls. Among the diabetics, the majority of the subjects (61.0%) were HDL-C dyslipidemic. However, among the controls, the maximum numbers of individuals (40.7%) were TG dyslipidemic. Diabetics have signifi cantly elevated ratio of total cholesterol to high density lipoprotein cholesterol (TC/HDL-C) and the signifi cant increased levels of non-high density lipoprotein cholesterol (non-HDL-C) compared to controls which can be used as markers of dyslipidemia and can also be used to predict the risk of cardiovascular disease in type 2 Diabetes Mellitus.
Approximate clone detection is the process of identifying similar process fragments in business process model collections. The tool presented in this paper can efficiently cluster approximate clones in large process model repositories. Once a repository is clustered, users can filter and browse the clusters using different filtering parameters. Our tool can also visualize clusters in the 2D space, allowing a better understanding of clusters and their member fragments. This demonstration will be useful for researchers and practitioners working on large process model repositories, where process standardization is a critical task for increasing the consistency and reducing the complexity of the repository.
Development and Validation of a Rapid and Reliable Method for TPMT Genotyping using real-time PCR
(2012)
YAWL User Group
(2012)
The documentation requirements of data published in long term archives have significantly grown over the last decade. At WDCC the data publishing process is assisted by “Atarrabi”, a web-based workflow system for reviewing and editing metadata information by the data authors and the publication agent. The system ensures high metadata quality for long-term use of the data with persistent identifiers (DOI/URN). By these well-defined references (DOI) credit can properly be given to the data producers in any publication.
This paper describes adaptive time frequency analysis of EEG signals, both in theory as well as in practice. A momentary frequency estimation algorithm is discussed and applied to EEG time series of test persons performing a concentration experiment. The motivation for deriving and implementing a time frequency estimator is the assumption that an emotional change implies a transient in the measured EEG time series, which again are superimposed by biological white noise as well as artifacts. It will be shown how accurately and robustly the estimator detects the transient even under such complicated conditions.
The criteria for assessing the quality of rubber materials are the polymer or copolymer composition and the additives. These additives include plasticizers, extender oils, carbon black, inorganic fillers, antioxidants, heat and light stabilizers, processing aids, cross-linking agents, accelerators, retarders, adhesives, pigments, smoke and flame retardants, and others. Determination of additives in polymers or copolymers generally requires the extraction of these substances from the matrix as a first step, which can be challenging, and the subsequent analysis of the extracted additives by gas chromatography (GC), GC–mass spectrometry (MS), high performance liquid chromatography (HPLC), HPLC–MS, capillary electrophoresis, thin-layer chromatography, and other analytical techniques. In the present work, nitrile rubber materials were studied using direct analytical flash pyrolysis hyphenated to GC and electrospray ionization MS in both scan and selected ion monitoring modes to demonstrate that this technique is a good tool to identify the organic additives in nitrile rubber.
Along with the success of the digitally revived stereoscopic cinema, other events beyond 3D movies become attractive for movie theater operators, i.e. interactive 3D games. In this paper, we present a case that explores possible challenges and solutions for interactive 3D games to be played by a movie theater audience. We analyze the setting and showcase current issues related to lighting and interaction. Our second focus is to provide gameplay mechanics that make special use of stereoscopy, especially depth-based game design. Based on these results, we present YouDash3D, a game prototype that explores public stereoscopic gameplay in a reduced kiosk setup. It features live 3D HD video stream of a professional stereo camera rig rendered in a real-time game scene. We use the effect to place the stereoscopic effigies of players into the digital game. The game showcases how stereoscopic vision can provide for a novel depth-based game mechanic. Projected trigger zones and distributed clusters of the audience video allow for easy adaptation to larger audiences and 3D movie theater gaming.
Gas chromatography with simultaneous flame-ionization detection (FID) and a nitrogen-phosphorus detection (NPD) as well as gas chromatography-mass spectrometry (GC/MS) has been used to characterize some long-chain primary alkyl amines and alkyl diamines after derivatization with trifluoroacetic anhydride (TFAA).