MethControl

Purpose: In computed tomographic colonography (CTC), a patient will be scanned twice—Once supine and once prone—to improve the sensitivity for polyp detection. To assist radiologists in CTC reading, in this paper we propose an automated ...

regulations - National Engineering College

In order to achieve high value-added shares in the future and thus secure locations and jobs, productivity and agility in production must be steadily increased, the transparency and traceability of all processes constantly improved, and the costs reduced.

For more than 19 years already, the research project SEE-KID / CEVD has been dealing with the computer-based simulation of eye motility disorders and their operational treatment.

The aim of FlashCheck is to provide a general solution to detection of electrical arcing in photovoltaic systems while avoiding false detection.

Aortic aneurysms are among the most common vascular diseases and cause thousands of deaths every year in Europe and the USA. While open surgery results in higher stress during surgery and longer recovery time, endovascular treatment has a number of complications after surgery.

Correlation optimized warping has been the most used technique to correct the drifts in peak positions. COW aligns the unaligned chromatogram to the reference chromatogram provided slack (t) and segment lengths (m) are optimized. However, several combinations of m and t need to be tested before finding the o

Abstract. It is becoming clear that most human diseases have a complex etiology that cannot be explained by single nucleotide polymorphisms (SNPs) or simple add

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Abstract. The application of dynamic time warping (DTW) to the correction of retention time shift in chromatographic fingerprints of Radix Puerariae thomsonii (

I have a Financial Time Series from a database and intend to cluster the time series based on their similarity. How would it be different to cluster them based on their pairwise Correlation and clu...

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AFNI, SUMA, and NIML : Interprocess Communication in FMRI Data Analysis. Robert W Cox and Ziad S Saad Statistical and Scientific Computing Core National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, USA. Linked Programs.

All data herein from Alex Martin, et al . [NIMH IRP]. Data for this presentation: AFNI_data5/ directory. Instant Analyses in AFNI and SUMA : Clusters and Correlations. AFNI “ Insta ” Functions. 3 new capabilities added to the interactive AFNI

The multivariate calibration methods—principal component regression (PCR) and partial least squares (PLSs)—were employed for the prediction of total phenol contents of four Prunella species. High performance liquid chromatography (HPLC) and spectrophotometric approaches were used to determine the total phenol content of the Prunella samples. Several preprocessing techniques such as smoothing, normalization, and column centering were employed to extract the chemically relevant information from the data after alignment with correlation optimized warping (COW). The importance of the preprocessing was investigated by calculating the root mean square error (RMSE) for the calibration set of the total phenol content of Prunella samples. The models developed based on the preprocessed data were able to predict the total phenol content with a precision comparable to that of the reference of the Folin-Ciocalteu method. PLS model seems preferable, because of its predictive and describing abilities and good interpretability of the contribution of compounds to the total phenol content. Multivariate calibration methods were constructed to model the total phenol content of the Prunella samples from the HPLC profiles and indicate peaks responsible for the total phenol content successfully.