539 research outputs found
Cloud hosted business-data driven BI platforms
No full textBusiness Intelligence in Platform as a Service (PaaS) for information analysis is increasingly being considered for its applications in the enterprises because of its advantages. It is widely used for Data Analysis, Customer Churn Prediction, etc. However, the challenges that the traditional BI platform faces includes the tremendous volume of data, high time and space complexity of algorithms and the incompatibility in the Integration to the BI tools. Thus instead of having traditional Data Warehouses for storage which require high maintenance and storages, companies are moving towards more efficient cloud based storages
Assessment and Prevention Of Falls In Elderly: Nurses’ Role
No full textFalls in elderlies has been a major concern in geriatric care. One out of three elderlies have
been falling every year and the many more elderlies are constantly at risk of falls. These falls
lead to serious injuries like hip fractures and build sense of fear in elderlies, which limit their
activities and degrade their quality of life.
There has been seen a huge need to enhance the skill and knowledge of the present and future
nurses to ensure that they are professionally and personally capable to identify the risk factors
and plan prevention strategies accordingly.
Literature review has been used in this thesis to find out the possible assessment methods to
assess the risk factors of falls in elderly, the vulnerable groups of elderlies who have higher
chances of falling. In addition, the possible falls prevention strategies have been studied and
laid out in this thesis.
A total of 11 relevant articles were obtained from a reliable database search.
The contents of the thesis have been categorized into distinct assessment and prevention
headings for ease of reading and finding required information. In the conclusion end, the author has presented his own ideas and discussed the additional need for safety of elderlies
Publisher Correction:Dysregulation of ghrelin in diabetes impairs the vascular reparative response to hindlimb ischemia in a mouse model; clinical relevance to peripheral artery disease (Scientific Reports, (2020), 10, 1, (13651), 10.1038/s41598-020-70391-6)
No full textIn the original version of this Article, Rajesh Katare and Daryl O. Schwenke were omitted as equally contributing authors. In addition, Rajesh Katare was omitted as a corresponding author. Correspondence and requests for materials should also be addressed to [email protected]. These errors have now been corrected in the HTML and PDF versions of the Article.</p
Epistatic effects of potassium channel variation on cardiac repolarization and atrial fibrillation risk
No full textObjectivesThe aim of this study was to evaluate the role of cardiac K(+) channel gene variants in families with atrial fibrillation (AF).BackgroundThe K(+) channels play a major role in atrial repolarization but single mutations in cardiac K(+) channel genes are infrequently present in AF families. The collective effect of background K(+) channel variants of varying prevalence and effect size on the atrial substrate for AF is largely unexplored.MethodsGenes encoding the major cardiac K(+) channels were resequenced in 80 AF probands. Nonsynonymous coding sequence variants identified in AF probands were evaluated in 240 control subjects. Novel variants were characterized using patch-clamp techniques and in silico modeling was performed using the Courtemanche atrial cell model.ResultsNineteen nonsynonymous variants in 9 genes were found, including 11 rare variants. Rare variants were more frequent in AF probands (18.8% vs. 4.2%, p 30 ms) shortening or lengthening of action potential duration as well as increased dispersion of repolarization.ConclusionsFamilies with AF show an excess of rare functional K(+) channel gene variants of varying phenotypic effect size that may contribute to an atrial arrhythmogenic substrate. Atrial cell modeling is a useful tool to assess epistatic interactions between multiple variants.Stefan A. Mann, Robyn Otway, Guanglan Guo, Magdalena Soka, Lina Karlsdotter, Gunjan Trivedi, Monique Ohanian, Poonam Zodgekar, Robert A. Smith, Merridee A. Wouters, Rajesh Subbiah, Bruce Walker, Dennis Kuchar, Prashanthan Sanders, Lyn Griffiths, Jamie I. Vandenberg, Diane Fatki
An activity-based energy demand modeling framework for buildings: A bottom-up approach
No full textEnergy consumption by buildings, due to various factors such as temperature regulation, lighting, poses a threat to our environment and energy resources. In the United States, statistics reveal that commercial and residential buildings combined contribute about 40 percent of the overall energy consumption, and this figure is expected to increase. In order to manage the growing demand for energy, there is a need for energy system optimization, which would require a realistic, high-resolution energy-demand model. In this work, we investigate and model the energy consumption of buildings by taking into account physical, structural, economic, and social factors that influence energy use. We propose a novel activity based modeling framework that generates an energy demand profile on a regular basis for a given nominal day. We use this information to generate a building-level energy demand profile at highly dis-aggregated level. We then investigate the different possible uses of generated demand profiles in different What-if scenarios like urban-area planning, demand-side management, demand sensitive pricing, etc. We also provide a novel way to resolve correlational and consistency problems in the generation of individual-level and building-level "shared" activities which occur due to individuals\' interactions.Master of Scienc
Heterogeneous networking testbeds integration and wireless network virtualization
No full textNetworking research has grown immensely over the past few years. This has urged the need for a heterogeneous networking research infrastructure, to experiment with the interaction and integration of different types of networks. This requirement led to the Global Environment for Network Innovations (GENI) effort, supported by NSF, which aims at creating a global infrastructure for conducting networking experiments across diverse substrates such as
wired, wireless, sensor and cellular networks. In this work, we discuss challenges involved in federating two diverse testbeds - PlanetLab and ORBIT and present a model for building a united
infrastructure for the models. PlanetLab is a global research wired network that supports the development of new network services. ORBIT
is a laboratory-based wireless network emulator for 802.11 testing.
An integrated wired-wireless testbed will increase the scalability of experimentation. Proof-of-concept experiments are also presented reinforcing the usefulness of the model in terms of facilitating experiments over the integrated infrastructure.
Such an integrated infrastructure poses a requirement of support for wireless network virtualization - supporting multiple concurrent
wireless experiments. Unlike wired networks, wireless networks present unique challenges making the task of wireless virtualization
a difficult problem. The critical problem of simultaneous experimentation in networks involving the wireless medium are identified and approaches towards it are discussed. We evaluate and compare two approaches towards wireless virtualization - SDMA (Space Division Channel Multiplexing) and VAP (Virtual AP Channel Multiplexing) suitable for supporting long running experiments. In this study conducted on ORBIT we quantify the difference in
performance and interference when using wireless virtualization and suggest measures to mitigate the same. The feasibilty study will serve as the first step towards ORBIT virtualization.M.S.Includes bibliographical references (p. 63-65)
A Systematic Review on Author Identification Methods
No full textAuthor Identification is a technique for identifying author of anonymous text. It has near about 130 year's long history, started with the work by Mendenhall 1987. Applications of Author identification include plagiarism detection, detecting anonymous author, in forensics and so on. In this paper the authors outline features used for Author identification like vocabulary, syntactic and others. Researchers worked on various methods for Author identification they also outline this paper on types of Author Identification methods that include 1. Profile-based Approaches which includes Probabilistic Models, Compression Models, Common n-Grams (CNG) approach, 2. Instance-based Approaches which includes Vector Space Models, Similarity-based Models, Meta-learning Models and 3. Hybrid Approaches. At the end the authors conclude this paper with observations and future scope.</p
Rajesh Research data
No full textFirst author are the data procurer from his Ph.D. research.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
Heritability of ECG biomarkers in the Netherlands twin registry measured from Holter ECGs
No full textIntroduction: The resting ECG is the most commonly used tool to assess cardiac electrophysiology. Previous studies have estimated heritability of ECG parameters based on these snapshots of the cardiac electrical activity. In this study we set out to determine whether analysis of heart rate specific data from Holter ECGs allows more complete assessment of the heritability of ECG parameters. Methods and Results: Holter ECGs were recorded from 221 twin pairs and analyzed using a multi-parameter beat binning approach. Heart rate dependent estimates of heritability for QRS duration, QT interval, Tpeak-Tend and Theight were calculated using structural equation modeling. QRS duration is largely determined by environmental factors whereas repolarization is primarily genetically determined. Heritability estimates of both QT interval and Theight were significantly higher when measured from Holter compared to resting ECGs and the heritability estimate of each was heart rate dependent. Analysis of the genetic contribution to correlation between repolarization parameters demonstrated that covariance of individual ECG parameters at different heart rates overlap but at each specific heart rate there was relatively little overlap in the genetic determinants of the different repolarization parameters. Conclusions: Here we present the first study of heritability of repolarization parameters measured from Holter ECGs. Our data demonstrate that higher heritability can be estimated from the Holter than the resting ECG and reveals rate dependence in the genetic-environmental determinants of the ECG that has not previously been tractable. Future applications include deeper dissection of the ECG of participants with inherited cardiac electrical disease.Emily C. Hodkinson, Melanie Neijts, Arash Sadrieh, Mohammad S. Imtiaz, Mathias Baumert, Rajesh N. Subbiah, Christopher S. Hayward, Dorret Boomsma, Gonneke Willemsen, JamieI.Vandenberg, Adam P. Hill, and Eco De Geu
Evidence for a role of nitric oxide in iron homeostasis in plants
No full textNitric oxide (NO), once regarded as a poisonous air pollutant, is now understood as a regulatory molecule essential for several biological functions in plants. In this review, we summarize NO generation in different plant organs and cellular compartments, and also discuss the role of NO in iron (Fe) homeostasis, particularly in Fe-deficient plants. Fe is one of the most limiting essential nutrient elements for plants. Plants often exhibit Fe deficiency symptoms despite sufficient tissue Fe concentrations. NO appears to not only up-regulate Fe uptake mechanisms but also makes Fe more bioavailable for metabolic functions. NO forms complexes with Fe, which can then be delivered into target cells/tissues. NO generated in plants can alleviate oxidative stress by regulating antioxidant defense processes, probably by improving functional Fe status and by inducing post-translational modifications in the enzymes/proteins involved in antioxidant defense responses. It is hypothesized that NO acts in cooperation with transcription factors such as bHLHs, FIT, and IRO to regulate the expression of enzymes and proteins essential for Fe homeostasis. However, further investigations are needed to disentangle the interaction of NO with intracellular target molecules that leads to enhanced internal Fe availability in plants.RKT is grateful to Department of Science and Technology-Science and Engineering Research Board (DST-SERB) New Delhi, for a Teachers Associateship for Research Excellence (TAR/2019/000064).Tewari, RK (corresponding author), Univ Lucknow, Dept Bot, Lucknow 226007, Uttar Pradesh, India.
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