1,557 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
Real-time co-management of electricity and groundwater: an assessment of Gujarat’s pioneering Jyotirgram Scheme
No full textTube well irrigationWellsPumpsElectrificationFarmers attitudesShare croppingPovertyUser chargesRural economy
EVALUATION OF DAIRY AND CARCASS PERFORMANCES OF LESSER KNOWN GANG-FATEHPURI SHEEP OF UTTAR PRADESH
No full textM.K. Verma*1, V.K. Singh1, J. Singh1, A. K. Verma2and Rajesh Kumar
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
Understanding the role of membrane cholesterol upon Epstein Barr virus infection in astroglial cells.
No full textBackground: EBV infection has long been postulated to trigger multiple sclerosis (MS) and anti-EBV antibodies showed a consistent presence in MS patients. Previous reports from our group have shown that the EBV infects different brain cells. Entry of the virus in neuronal cells is assisted by several host factors including membrane cholesterol. By using an inhibitor, methyl-β-cyclodextrin (MβCD), we evaluated the role of membrane cholesterol in EBV infection and pathogenesis.
Methodology: The membrane cholesterol depleted cells were infected with EBV and its latent genes expression were assessed. Further, EBV-mediated downstream signalling molecules namely STAT3, RIP, NF-kB and TNF-α levels was checked at protein level along with spatial (periphery and nucleus) and temporal changes in biomolecular fingerprints with Raman microspectroscopy (RS).
Results: Upon treatment with MβCD, lmp1 and lmp2a suggested significant downregulation compared to EBV infection. Downstream molecules like STAT3 and RIP, exhibited a decrease in protein levels temporally upon exposure to MβCD while NF-kB levels were found to be increased. Further, the intensity of the Raman spectra exhibited an increase in triglycerides and fatty acids in the cytoplasm of EBV-infected LN-229 cells compared to MβCD+EBV. Likewise, the Raman peak width of cholesterol, lipid and fatty acids were found to be reduced in EBV-infected samples indicates elevation in the cholesterol specific moieties. In contrast, an opposite pattern was observed in the nucleus. Moreover, the ingenuity pathway analysis revealed protein molecules such as VLDLR, MBP and APP that are associated with altered profile of cholesterol, fatty acids and triglycerides with infection-related CNS disorders.
Conclusion: Taken together, our results underline the important role of membrane cholesterol over EBV entry/pathogenesis in astroglia cells which further trigger/exacerbate virus-associated neuropathologies. These results likely to aid into the prognosis of neurological disease like MS
[Photograph 2012.201.B1370.0330]
No full textPhotograph used for a story in the Daily Oklahoman newspaper. Caption: "Marvin York Vo-tech Center students, from left, Greg Wiley, Felicia Archer and Rajesh Verma each receive a scholarship from the Oklahoma City Hotel-Motel Association.
Role of demographic and psychological factors on vaccine reluctance in Covid-19: A systematic review
No full textEffectiveness of cognitive behavioural therapy for adults with depression and anxiety during COVID-19: A Systematic review of randomised controlled trials
No full textIntroduction: The COVID-19 pandemic has forced the administration of Cognitive Behavioural Therapy (CBT) either face-to-face or online. This systematic review aims to assess the effectiveness of CBT and Internet-Delivered CBT (iCBT) in treating depression and anxiety disorders during the COVID-19 outbreak.
Methods: Three independent reviewers searched the Web of Science, PubMed, Cochrane Library, and Clinical Trial Databases using specific search phrases. PubMed searches included “Cognitive Behavioural Therapy/Intervention” and “COVID-19” and “2019 Coronavirus Disease” or “2019-nCoV”, “internet-administered/internet-based cognitive behavioural therapy, CBT, cognitive behavioural treatment”. Two independent reviewers evaluated the risk of bias at the study level, with disagreements settled through discussion with other research team members. The study findings were reported as per the PRISMA guidelines.
Results: Thirty-one studies met the inclusion criteria, and 17 were randomised controlled trials. The studies demonstrated that CBT and iCBT effectively treated depression and anxiety disorders during the COVID-19 pandemic. However, a hybrid CBT modality was more beneficial from a long-term perspective.
Conclusion: The findings suggest that CBT and iCBT effectively treat depression and anxiety disorders during the COVID-19 pandemic. However, further research is needed to establish these interventions’ long-term effectiveness and identify the optimal mode of delivery for different population
Resilience amidst adversity: Exploration of undergraduate students post-covid-19 experiences in Kerala
No full textThis research probes into the resilience exhibited by undergraduate students in Kerala aftermath COVID-19 pandemic. Employing the Resilience Assessment Questionnaire developed by Derek Mowbray, the study precisely examines the coping mechanisms adopted by these students. The sample size comprises 85 participants, representing diverse undergraduate courses from seven different districts of Kerala. They have been approached through educational institutions after obtaining informed consent. The collected data were analysed with Jamovi. Descriptive analysis, Spearman correlation and Mann–Whitney U test were used to derive the results. A significant 54% of the sample reported high resilience scores, indicating their ability to withstand adversity. Conversely, 24% fell into the average score category, while 22% exhibited lower resilience levels. These variations underscore and communicate students’ specific challenges during the pandemic, as reflected in their resilience scores. Whether young or mature, urban or rural, students exhibited similar levels of resilience. Instead, their academic progress and persistence played a pivotal role. In conclusion, this research sheds light on the resilience mechanisms employed by Kerala’s undergraduate students, emphasising the importance of fostering a robust support network to enhance their ability to adapt and thrive in challenging circumstances
A Novel Approach of Dynamic Slicing and Debugging of Object Oriented Programs
No full textM.E. (Software Engineering)Software testing and debugging is the necessary phase of software development, lots of effort has been deployed to detect the bugs and debug the program. Program slicing is a technique to extract program parts with respect to some special computation. Program Slicing is to remove the irrelevant statements from the program code. Irrelevant statements are those statements to which the buggy statement is neither data dependent nor control dependent. Program slicing aids the programmer to reduce the debugging effort.
Computation of slices needs an intermediate representation of the program, and then this intermediate representation is used to compute the slices. Various dependence graphs have been proposed to represent the program like program dependence graph. Since these graphs are very complex it is very difficult to convert the program into these intermediate graphs. The proposed approach introduces another intermediate representation of the programs whose space complexity is lesser.
Detecting and locating bugs is the major task of the debugging process. Here we detect most possible bugs in the program with polymorphic behavior. The debugger also generates the suggestion messages for the detected bugs. These suggestion messages can help the programmer in debugging the program
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