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Search Results: 1 - 10 of 462793 matches for " Tejas A. Desai "
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On Expressing the Probabilities of Categorical Responses as Linear Functions of Covariates  [PDF]
Tejas A. Desai
Applied Mathematics (AM) , 2013, DOI: 10.4236/am.2013.411200
Abstract:

Logistic regression is usually used to model probabilities of categorical responses as functions of covariates. However, the link connecting the probabilities to the covariates is non-linear. We show in this paper that when the cross-classification of all the covariates and the dependent variable have no empty cells, then the probabilities of responses can be expressed as linear functions of the covariates. We demonstrate this for both the dichotmous and polytomous dependent variables.

Comparing two models that reduce the number of nephrology fellowship positions in the United States
Tejas Desai
PeerJ , 2015, DOI: 10.7287/peerj.preprints.592v1
Abstract: There has been a steady decline in the number of applications to nephrology training programs. One solution is to decrease the number of available fellowship positions. Proponents believe that training programs have grown too big but the method for reduction has not been established. This investigation analyzes two models that decrease the number of available training positions and compares them head-to-head to identify the least burdensome method by which this reduction should occur. In the survival of the fittest model (SotFM) fellowship positions are eliminated if they were unfilled in the National Residency Match Program’s (NRMP) 2013 Specialty Match. In the equal proportions model (EPM) a formula is used to calculate a priority score using ESRD prevalence data from the 2013 USRDS Report and the geometric mean between a given jurisdiction’s current apportionment (n) and its next position (n+1). The least burdensome model is that which results in the 1) least number of jurisdictions losing fellow positions and 2) lowest percent reduction for any single jurisdiction. There were 416 nephrology positions offered and 47 unfilled in 2013. In the SotFM, 23 jurisdictions would sacrifice these 47 positions. In the EPM, 369 positions were apportioned (=416-47); only 9 jurisdictions would experience a reduction. The largest single-jurisdiction reduction in fellow positions was 67% (SotFM) and 50% (EPM). The EPM results in a less burdensome reduction of fellow positions nationwide. The EPM is a time-tested model that injects fairness into the painful process of reducing the total number of fellow positions across America.
Comparing two models that reduce the number of nephrology fellowship positions in the United States
Tejas Desai
PeerJ , 2015, DOI: 10.7717/peerj.720
Abstract: There has been a steady decline in the number of applications to nephrology training programs. One solution is to decrease the number of available fellowship positions. Proponents believe that training programs have grown too big but the method for reduction has not been established. This investigation analyzes two models that decrease the number of available training positions and compares them head-to-head to identify the least burdensome method by which this reduction should occur. In the survival of the fittest model (SotFM) fellowship positions are eliminated if they were unfilled in the National Residency Match Program’s (NRMP) 2013 Specialty Match. In the equal proportions model (EPM) a formula is used to calculate a priority score using ESRD prevalence data from the 2013 USRDS Report and the geometric mean between a given jurisdiction’s current apportionment (n) and its next position (n + 1). The least burdensome model is that which results in the (1) least number of jurisdictions losing fellow positions and (2) lowest percent reduction for any single jurisdiction. There were 416 nephrology positions offered and 47 unfilled in 2013. In the SotFM, 23 jurisdictions would sacrifice these 47 positions. In the EPM, 369 positions were apportioned (=416–47); only 9 jurisdictions would experience a reduction. The largest single-jurisdiction reduction in fellow positions was 67% (SotFM) and 50% (EPM). The EPM results in a less burdensome reduction of fellow positions nationwide. The EPM is a time-tested model that injects fairness into the painful process of reducing the total number of fellow positions across America.
New standardized visual acuity charts in hindi and gujarati
Khamar Bakulesh,Vyas Usha,Desai Tejas
Indian Journal of Ophthalmology , 1996,
Abstract: Conventional Snellen visual acuity chart has unequal difficulty score and irregular progression in letter size causing jumping effect at different visual acuity levels. There is also increase in number of letters from above downwards. Consequently one or two mistakes per line has different meaning of visual acuity at different levels. We designed a new visual acuity chart of fourteen lines in Hindi and Gujarati to facilitate standardization in visual acuity measurement. These charts are designed for use at six meter distance, and the illumination is provided from front. These charts provide a standardized way of measuring visual acuity using local languages.
Xenophobia and the of the refugee in the rainbow nation of human rights
A Desai
African Sociological Review / Revue Africaine de Sociologie , 2008,
Abstract: …the paradox involved in the loss of human rights is that such loss coincides with the instant when a person becomes a human being in general – without a profession, without a citizenship, without an opinion, without a deed by which to identify and specify himself (Arendt, 1958, 297).
Tweeting the Meeting: An In-Depth Analysis of Twitter Activity at Kidney Week 2011
Tejas Desai, Afreen Shariff, Aabid Shariff, Mark Kats, Xiangming Fang, Cynthia Christiano, Maria Ferris
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0040253
Abstract: In recent years, the American Society of Nephrology (ASN) has increased its efforts to use its annual conference to inform and educate the public about kidney disease. Social media, including Twitter, has been one method used by the Society to accomplish this goal. Twitter is a popular microblogging service that serves as a potent tool for disseminating information. It allows for short messages (140 characters) to be composed by any author and distributes those messages globally and quickly. The dissemination of information is necessary if Twitter is to be considered a tool that can increase public awareness of kidney disease. We hypothesized that content, citation, and sentiment analyses of tweets generated from Kidney Week 2011 would reveal a large number of educational tweets that were disseminated to the public. An ideal tweet for accomplishing this goal would include three key features: 1) informative content, 2) internal citations, and 3) positive sentiment score. Informative content was found in 29% of messages, greater than that found in a similarly sized medical conference (2011 ADA Conference, 16%). Informative tweets were more likely to be internally, rather than externally, cited (38% versus 22%, p<0.0001), thereby amplifying the original information to an even larger audience. Informative tweets had more negative sentiment scores than uninformative tweets (means ?0.162 versus 0.199 respectively, p<0.0001), therefore amplifying a tweet whose content had a negative tone. Our investigation highlights significant areas of promise and improvement in using Twitter to disseminate medical information in nephrology from a scientific conference. This goal is pertinent to many nephrology-focused conferences that wish to increase public awareness of kidney disease.
A PANORAMIC VIEW ON PHARMACOGNOSTIC, PHARMACOLOGICAL, NUTRITIONAL, THERAPEUTIC AND PROPHYLACTIC VALUES OF MORINGA OLEIFERA LAM
Ganatra Tejas H,Joshi Umang H,Bhalodia Payal N,Desai Tusharbindu R
International Research Journal of Pharmacy , 2012,
Abstract: Moringa oleifera or Moringa pterygosperma, one of the miracle tree, is widely cultivated throughout India, belongs to family Moringaceae. It is widely used as a nutritive herb and possesses valuable pharmacological activities. Present article describes habitat, pharmacognostic features, phytochemistry, nutritive values and pharmacological activities like anticancer, antimicrobial, anti-inflammatory, anti-hyperlipidemic, hypotensive, anti-diabetic, hepatoprotective, anti-asthmatic, anthelmintic, anti-fertility, etc of Moringa. It is one of most rich source of vitamin A, vitamin C, milk protein, etc. Present review gives information which is required to prove its medicinal and nutritional importance. Every part of Moringa is said to have beneficial properties that can serve humanity so the whole plant can be extensively studied for further research aspects.
PRE-CLINICAL INVESTIGATION OF ANTI-TUSSIVE ACTIVITY OF HIBISCUS ROSA-SINENSIS ON GUINEA PIG
Jani Karna P,Gandhi Parth M,Ganatra Tejas H,Desai Tusharbindu R
International Research Journal of Pharmacy , 2012,
Abstract: Ayurveda suggests that decoction of leaves of Hibiscus rosa-sinensis could be beneficial to reduce cough. Codeine and other synthetic antitussive agents shows number of side-effects and thus to find better and safer alternate Hibiscus rosa-sinensis was evaluated for its antitussive activity.Dried powder of flower part of Hibiscus rosa-sinensis was extracted with methanol and the practical yield of methanolicextract was found to be 1% W/W.Anti-tussive effect of methanolic extract of Hibiscus rosa-sinensis was studied in Histamine chamber using citric acid (7.5%W/V) induced cough model, in which the methanolic extract of Hibiscus rosa-sinensis significantly decreased the number of coughing. From this we concluded that methanolic extract of Hibiscus rosa-sinensis possess antitussive activity.
Is Content Really King? An Objective Analysis of the Public's Response to Medical Videos on YouTube
Tejas Desai, Afreen Shariff, Vibhu Dhingra, Deeba Minhas, Megan Eure, Mark Kats
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0082469
Abstract: Medical educators and patients are turning to YouTube to teach and learn about medical conditions. These videos are from authors whose credibility cannot be verified & are not peer reviewed. As a result, studies that have analyzed the educational content of YouTube have reported dismal results. These studies have been unable to exclude videos created by questionable sources and for non-educational purposes. We hypothesize that medical education YouTube videos, authored by credible sources, are of high educational value and appropriately suited to educate the public. Credible videos about cardiovascular diseases were identified using the Mayo Clinic's Center for Social Media Health network. Content in each video was assessed by the presence/absence of 7 factors. Each video was also evaluated for understandability using the Suitability Assessment of Materials (SAM). User engagement measurements were obtained for each video. A total of 607 videos (35 hours) were analyzed. Half of all videos contained 3 educational factors: treatment, screening, or prevention. There was no difference between the number of educational factors present & any user engagement measurement (p NS). SAM scores were higher in videos whose content discussed more educational factors (p<0.0001). However, none of the user engagement measurements correlated with higher SAM scores. Videos with greater educational content are more suitable for patient education but unable to engage users more than lower quality videos. It is unclear if the notion “content is king” applies to medical videos authored by credible organizations for the purposes of patient education on YouTube.
Tolls and Welfare Optimization for Multiclass Traffic in Multiqueue Systems
Tejas Bodas,A. Ganesh,D. Manjunath
Computer Science , 2014,
Abstract: We consider a queueing system with multiple heterogeneous servers serving a multiclass population. The classes are distinguished by the time costs. All customers have i.i.d. service requirements. Arriving customers do not see the instantaneous queue occupancy. Arrivals are randomly routed to one of the servers and the routing probabilities are determined centrally to optimize the expected waiting cost. This is, in general, a difficult optimization problem and we obtain the structure of the routing matrix. Next we consider a system in which each queue charges an admission price. The arrivals are routed randomly to minimize an individual objective function that includes the expected waiting cost and the admission price. Once again, we obtain the structure of the equilibrium routing matrix for this case. Finally, we determine the admission prices to make the equilibrium routing probability matrix equal to a given optimal routing probability matrix.
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