289 research outputs found
Urinary Bladder Xanthoma – Is Immunohistochemistry Necessary?
No full textAbstractUrinary Bladder Xanthomas (UBX) are non-neoplastic reactive tumor like process. Isolated UBX is rare with only around 15 cases reported (Yu, Patel, & Bonert, 2015). UBX are reported in older patients who present with non specific symptoms like UTI or hematuria. Patients often have associated lipid anomalies. UBX have been vaguely described as yellowish white plaques or patches. Also, recent reports have stressed on the role of Immunohistochemistry in the diagnosis (Al-Daraji, Varghese, & Husain, 2007; Vimal, Masih, Manipadam, & Chacko, 2012). The objective of this report is to provide a cystoscopic view of the tumor which will enable easier identification and also to debate on the role of IHC in diagnosis
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Correction to: Predictors of patency for arteriovenous fistulae and grafts in pediatric hemodialysis patients.
No full textThe original version of this article unfortunately contained a mistake. The name of Vimal Chadha was presented incorrectly. The corrected author list is given above
मजबूत बुनियादों के साथ शुरू सपनों को सच करने का सफर : स्कूल ऑफ प्लानिंग एंड आर्किटेक्चर का दीक्षांत समारोह, 7 स्टूडेंट्स को गोल्ड मेडल
No full text3rd Convocation ceremony of SPA Bhopal is celebrated in the presence of Chief guest Prof. Cristophor Beningar, BOG Chairperson Prof. Vimal Patel and SPA Director Chetan Vaidhya and 164 students were awarded with B.Arch. and M. Arch. Degrees along with 07 students with gold medal s. PhD. Degree is awarded to Sandeep Sankat and Ajay Vinodiya from SPA Bhopa
Machine learning practices in accounting and auditing
No full textJournal articleIn the current technological era, Machine Learning applications are becoming popular every day. This research paper provides information about the effectiveness of the ML technique in accounting as well as the auditing process. To get proper results, different ML libraries are utilized, concluding seaborn, matplotlib, NumPy and so on. In the introduction section, the research purpose and this research objectives have been developed, through which the entire research process will be developed. “Logistic Regression Machine Learning Model” is built. Literary sources have been analysed in the literature review section, through which it can be easy to gain different perceptions based on the research context. The effectiveness of different types of machine learning algorithms in accounting and auditing has been evaluated properly. To develop a knowledge level, it is important to increase proper attention, and this research paper will provide proper information based on ML effectiveness.Computing and Information TechnologyHolmesglenVictorian Institute of Technology (VIT)Navsari Agricultural Universit
Socio-economic correlates with the prevalence and onset of diabetes in South Africa: Evidence from the first four waves of the National Income Dynamics Study
No full textWe make use of multiple waves of National Income Dynamics Study data, from 2008 to 2015, to
investigate the socio‐economic factors that correlate with the prevalence and onset of diabetes. Our
analysis follows a cohort of 3470 older adults aged forty and above, who are interviewed four times
over a six-year period. We use linear probability models and estimate the likelihood of diabetes as a
function of age, race, gender, education, income, exercise, and obesity. Our primary findings are that
age and obesity correlate strongly with diabetes, while income does not have a statistically significant
effect, conditional on the other covariates. Our regression estimates indicate that, of individuals who
reported not being diabetic in Wave 1, those who were obese and morbidly obese were 12.9 and 16.7
percentage points more likely to have experienced the onset of diabetes respectively, relative to those
with a BMI in the healthy range. In addition, frequent exercise does appear to have a slight protective
effect against the onset of diabetes, and there is some evidence that better educated people have a
lower risk of onset of the disease.Velenkosini Matsebula: Researcher, SALDRU, UCT. Email: [email protected], corresponding author.
Vimal Ranchhod: Chief Research Officer, SALDRU, UCT. Email:[email protected]
Acknowledgements:
Funding for this research from the Department of Planning, Monitoring and Evaluation is gratefully
acknowledged
Scholarly communication in networked environment: problems and prospects
No full textThis article gives an overview of how popularity of World Wide Web and open access concepts challenge the existence of traditional scholarly communication. New publishing outlets such as blogs, wiki and podcasting facilitate agile communication channels for scholarly communication. Open access concepts in scholarly communication enable free access of knowledge. Research community and information professionals hope that scholarly communication through Internet makes available wider access of knowledge
A screening strategy to identify novel immunomodulators
No full textUnderstanding the immunomodulatory activities of compounds is important to identify the unintended adverse immunomodulatory effects of therapeutic compounds in development and to select novel compounds that may provide benefit for those diagnosed with immunemediated disorders. In both these cases, it is desirable to identify compounds with immunomodulatory activity early in the drug discovery process in a medium-throughput format. A screening strategy has been designed to fulfil these needs.
The first step in designing the strategy was to select informative assays and optimise individual assays to suit medium-throughput drug discovery. These individual assays investigated effects on a broad range of functions associated with innate and adaptive immune cells including macrophages (activation, cytokine production, phagocytosis and motility), helper T cells (activation and cytokine production), cytotoxic T cells (degranulation and cytokine production), and B cells (antibody production and cytokine production). Cost effectiveness and ease-of-use were important considerations during assay design and optimisation.
Using a compound set comprised of positive controls (i.e. compounds known to alter specific immune functions), a data set was generated to guide the strategy design. Assays were ordered to efficiently use resources and reduce the generation of less informative data. Additionally, using data collected from this compound set, strategies to assess and identify immunomodulatory activity were built and analysed. A second set of compounds was used to validate the screening strategy, and this screen highlighted new and novel activities for these known compounds that suggests they possess additional immunomodulatory effects.
Once validated, several novel compounds were run through the screen, including a traditional Samoan medicine, a heparan sulfate mimetic, and a novel anti-cancer agent; unique immunomodulatory activities were discovered. Finally, a hierarchical cluster analysis was used to cluster compounds sharing similar activity profiles and suggested the potential to develop further statistical methods to provide insight into compound characterisation. Together, this research has developed and validated a novel, medium throughput drug discovery system that can facilitate the identification of the immunomodulatory activities of compounds in the drug discovery environment
Performance Comparison of Rapid Petrifilm™ Test Methods vs. Conventional Test Methods for Microbiological Testing of Dietary Supplements
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