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A renewed interest in breeding barley specifically for food end-uses is being driven by increased consumer interest in healthier foods. We conducted association mapping on physicochemical properties of barley that play a role in food quality and processing including grain hardness, polyphenol oxidase activity, total phenolics, amylose content, and β-glucan.(More)
OBJECTIVES Toll like receptors play an important role in innate and adaptive immune responses. Heat shock proteins play a significant role in cell proliferation, differentiation and oncogenesis. HSP70 acts as one of the ligands of TLR4 and binds to it in a CD14 dependent fashion to bring about proinflammatory cytokine production leading to an anti-tumor(More)
BACKGROUND Proton nuclear magnetic resonance (1H NMR, or NMR) spectroscopy and inductively coupled plasma-mass spectrometry (ICP-MS) are commonly used for metabolomics and metal analysis in urine samples. However, creatinine quantification by NMR for the purpose of normalization of urinary metals has not been validated. We assessed the validity of using NMR(More)
BACKGROUND AND OBJECTIVES Breathing increased fractional oxygen concentration (FiO2) is recommended for the treatment of tissue ischaemia. METHODS The theoretical benefits of increasing FiO2 on tissue oxygenation were evaluated using standard physiological equations. Assuming constant oxygen consumption by tissues throughout the length of a capillary, the(More)
The primary idea of the project is to change the mind-set of the user by providing various kinds of media or activities with the help of Sentiment Analysis. The user's current mind-set is detected using sentiment analysis and the negative emotion is countered by showing appropriate media to the user. The input will be the emotional state of user in(More)
The data in this article are related to the research entitled, "Assessment of 1H NMR-based metabolomics analysis for normalization of urinary metals against creatinine" (M. Cassiède, S. Nair, M. Dueck, J. Mino, R. McKay, P. Mercier, B. Quémerais, P. Lacy, 2016) [1]. This article describes the analysis of urinary metabolites in normal, healthy individuals by(More)
In this paper, the aim is to build a hybrid Word Sense Disambiguation(WSD) technique, which is acutely focused on text associated with a certain form of visual. Natural language processing helps establish a context among the data elements that are aggregated to establish a certain meaning. Analyzing transcripts of visuals being uploaded in real-time saves(More)
Clustering is a technique used in data mining that groups similar objects into one cluster, while dissimilar objects are grouped into different clusters. The clustering techniques can be categorized into partitioning methods, hierarchical methods, density-based methods and grid-based methods. The different partitioning methods studied here are k-means and(More)
The World Wide Web has grown over the years from simple hypertext documents to highly interactive pages, where users can also contribute to the content by posting comments and so on. However, most data is extremely unstructured and cannot be easily automatically processed by machines. Presently, most search engines are keyword based and searches may also(More)