Diabetic lipid changes determined by combined ATR-FTIR, machine learning and metabolic profiling of kidney - correlation between spectra and biochemical data

FTIR ATR spectra of diabetic and control samples of homogenated kidney tissues. These data were used in publication "Diabetic lipid changes determined by combined ATR-FTIR, machine learning and metabolic profiling of kidney - correlation between spectra and biochemical data". These spectra are already preprocessed. The file contains the spectra used for the figures and is named as such (Fig 1a, 1b). It also contains LC-MS data used for metabolic profiling (Fig 6a, 6b). Machine learning was performed on the data showed in the Fig "2a" and "2b".THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Lipid changes in the kidney caused by diabetes determined by ATR-FTIR study combined with machine learning methods and metabolic profiling – correlation between spectra and biochemical data

FTIR ATR spectra of diabetic and control samples of homogenated kidney tissues. These data were used in publication "Lipid changes in the kidney caused by diabetes determined by ATR-FTIR study combined with machine learning methods and metabolic profiling – correlation between spectra and biochemical data". These spectra are already preprocessed. The file contains the spectra used for the figures and is named as such (Fig 1a, 1b). It also contains LC-MS data used for metabolic profiling (Fig 6a, 6b). Machine learning was performed on the data showed in the Fig "2a" and "2b".THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Determination of chemical changes in lipids caused by diabetes. Correlation between Raman spectra and lipids metabolic profiling of kidney

Raman spectra of diabetic and control samples of homogenated kidney tissues. These data were used in publication "Determination of chemical changes in lipids caused by diabetes. Correlation between Raman spectra and lipids metabolic profiling of kidney". The file contains the preprocessed spectra used for the figures Fig 1a, 1b, 1c and 2a, 2b. Machine learning was performed on the data showed in the Fig 3.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Qualitative methods for assessing risk

The purpose of this document is to describe a qualitative risk assessment process that supplements the requirements of DOE/AL 5481.1B. Although facility managers have a choice of assessing risk either quantitatively or qualitatively, trade offs are involved in making the most appropriate choice for a given application. The results that can be obtained from a quantitative risk assessment are significantly more robust than those results derived from a qualitative approach. However, the advantages derived from quantitative risk assessment are achieved at a greater expenditure of money, time and convenience. This document provides the elements of a framework for performing a much less costly qualitative risk assessment, while retaining the best attributes of quantitative methods. The approach discussed herein will; (1) provide facility managers with the tools to prepare consistent, site wide assessments, and (2) aid the reviewers who may be tasked to evaluate the assessments. Added cost/benefit measures of the qualitative methodology include the identification of mechanisms for optimally allocating resources for minimizing risk in an expeditious, and fiscally responsible manner