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Search Results: 1 - 10 of 32 matches for " Halinder Mangat "
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Can CT Perfusion Guide Patient Selection for Treatment of Delayed Cerebral Ischemia?  [PDF]
Rachel Gold, Pina C. Sanelli, Nikesh Anumula, Austin Ferrone, Carl E. Johnson, Joseph P. Comunale, Apostolos J. Tsiouris, Howard Riina, Halinder Mangat, Axel Rosengart, Alan Z. Segal
Advances in Computed Tomography (ACT) , 2013, DOI: 10.4236/act.2013.21002
Abstract:

Purpose: To evaluate qualitative and quantitative CT perfusion (CTP) for different treatment options of delayed cerebral ischemia (DCI) in aneurysmal SAH. Methods: Retrospective study of consecutive SAH patients enrolled in a prospective IRB-approved clinical trial. Qualitative analysis of CTP deficits were determined by two blinded neuroradiologists. Quantitative CTP was performed using standardized protocol with region-of-interest placement sampling the cortex. DCI was assessed by clinical and imaging criteria. Patients were classified into treatment groups: 1) hypertension-hemodilution-hypervolemia (HHH); 2) intra-arterial (IA) vasodilators and/or angioplasty; 3) no treatment. Mean quantitative CTP values were compared using ANOVA pairwise comparisons. Receiver operating characteristic (ROC) curves, standard error (SE) and optimal threshold values were calculated. Results: Ninety-six patients were classified into three treatment groups; 21% (19/96) HHH, 34% (33/96) IA-therapy and 46% (44/96) no treatment. DCI was diagnosed in 42% (40/96); of which 18% (7/40) received HHH, 80% (32/40) IA-therapy, and 2% (1/40) no treatment. CTP deficits were seen in 50% (48/96); occurring in 63% (12/19) HHH, 94% (31/33) IA-therapy, and 11% (5/44) no treatment. Presence of CTP deficits had 83% sensitivity, 89% specificity, 90% positive predictive and 81% negative predic

Increasing Performance of Rule Mining in the Medical Domain Using Natural Intelligence Concepts
Veenu Mangat
Lecture Notes in Engineering and Computer Science , 2010,
Abstract:
An evaluation of medical college departments of ophthalmology in India and change following provision of modern instrumentation and training
Thomas Ravi,Dogra Mangat
Indian Journal of Ophthalmology , 2008,
Abstract: Aim: To evaluate teaching and practice in medical college ophthalmology departments in a representative Indian state and changes following provision of modern instrumentation and training. Study Type: Prospective qualitative study. Materials and Methods: Teaching and practice in all medical colleges in the state assessed on two separate occasions by external evaluators. Preferred criteria for training and care were pre-specified. Methodology included site visits to document functioning and conduct interviews. Assessments included resident teaching, use of instrumentation provided specifically for training and standard of eye care. The first evaluation (1998) was followed by provision of modern instrumentation and training on two separate occasions, estimated at Rupees 34 crores. The follow-up evaluation in 2006 used the same methodology as the first. Results: Eight departments were evaluated on the first occasion; there were 11 at the second. On the first assessment, none of the programs met the criteria for training or care. Following the provision of modern instrumentation and training, intraocular lens usage increased dramatically; but the overall situation remained essentially unchanged in the 8 departments evaluated 8 years later. Routine comprehensive eye examination was neither taught nor practiced. Individually supervised surgical training using beam splitters was not practiced in any program; neither was modern management of complications or its teaching. Phacoemulsification was not taught, and residents were not confident of setting up practice. Instruments provided specifically for training were not used for that purpose. Students reported that theoretical teaching was good. Conclusions: Drastic changes in training, patient care and accountability are needed in most medical college ophthalmology departments.
Improved Accuracy of PSO and DE using Normalization: an Application to Stock Price Prediction
Savinderjit Kaur,Veenu Mangat
International Journal of Advanced Computer Sciences and Applications , 2012,
Abstract: Data Mining is being actively applied to stock market since 1980s. It has been used to predict stock prices, stock indexes, for portfolio management, trend detection and for developing recommender systems. The various algorithms which have been used for the same include ANN, SVM, ARIMA, GARCH etc. Different hybrid models have been developed by combining these algorithms with other algorithms like roughest, fuzzy logic, GA, PSO, DE, ACO etc. to improve the efficiency. This paper proposes DE-SVM model (Differential Evolution- Support vector Machine) for stock price prediction. DE has been used to select best free parameters combination for SVM to improve results. The paper also compares the results of prediction with the outputs of SVM alone and PSO-SVM model (Particle Swarm Optimization). The effect of normalization of data on the accuracy of prediction has also been studied.
The Role of Interventional Radiology in Treating Complications following Liver Transplantation
Homoyoon Mehrzad,Kamarjit Mangat
ISRN Hepatology , 2013, DOI: 10.1155/2013/696794
Abstract: Liver transplantation (LT) is used to treat both adult and pediatric patients with end-stage liver disease or acute liver failure. It has become more prevalent as both the surgical technique and postoperative care have improved resulting in a reduced morbidity and mortality. As a result, there are more patients surviving longer after liver transplantation. Despite this, there remain serious complications from the procedure that have a significant outcome on the patient and may result in retransplantation. At the same time, there have been significant advances in the field of interventional radiology both in terms of technology and how these apply to the patients. In this paper, we review the commonest complications, diagnostic tests, and interventional management options available. 1. Introduction Liver transplantation (LT) is used to treat both adult and pediatric patients with end-stage liver disease or acute liver failure. It has become more prevalent as both the surgical technique and postoperative care have improved resulting in a reduced morbidity and mortality. As a result, there are more patients surviving longer after liver transplantation. Despite this, there remain serious complications from the procedure that have a significant outcome on the patient and may result in retransplantation. At the same time, there have been significant advances in the field of interventional radiology both in terms of technology and how these apply to these patients. The main advantage is the ability to treat the common complications via a percutaneous minimally invasive manner reducing the need for further surgery with the aim of preserving the function of the transplanted liver. As a result, interventional radiologists have become an important member in the multidisciplinary transplantation team. The commonest method of liver transplantation is an orthotopic type (OLT) where the donor organ is placed in the same anatomical location as the original. The techniques described in this paper apply to deceased donor LT and living related LT (LRLT) both in the adult and pediatric population. In this paper, we aim to review the common complications following liver transplantation, the diagnostic tools available, and the available interventional treatments including potential complications. This paper is a review of the range of procedures offered by the interventional radiologist and is a mix of our experience in one of the largest transplant centers in Europe—at our institutes, we currently perform over 180 adult and pediatric liver transplants per year—and a review
Improved Accuracy of PSO and DE using Normalization: an Application to Stock Price Prediction
Savinderjit Kaur,Veenu Mangat
Computer Science , 2013,
Abstract: Data Mining is being actively applied to stock market since 1980s. It has been used to predict stock prices, stock indexes, for portfolio management, trend detection and for developing recommender systems. The various algorithms which have been used for the same include ANN, SVM, ARIMA, GARCH etc. Different hybrid models have been developed by combining these algorithms with other algorithms like roughest, fuzzy logic, GA, PSO, DE, ACO etc. to improve the efficiency. This paper proposes DE-SVM model (Differential EvolutionSupport vector Machine) for stock price prediction. DE has been used to select best free parameters combination for SVM to improve results. The paper also compares the results of prediction with the outputs of SVM alone and PSO-SVM model (Particle Swarm Optimization). The effect of normalization of data on the accuracy of prediction has also been studied.
Impact of Unreliable Power on a Paper Mill: A Case Study of Paper Industry of Punjab, India
Harpuneet Singh,Harjeet Singh Mangat
Lecture Notes in Engineering and Computer Science , 2012,
Abstract:
Impact of Long Duration Planned Outages on Paper Mills: A Comparative Study of Three Paper Mills
Harjit Singh Mangat,Harpuneet Singh
International Journal of Computer and Electrical Engineering , 2013, DOI: 10.7763/ijcee.2013.v5.762
Abstract: Considerable attention has been directed throughout the world to assess the economic consequences to electric energy customers due to unreliable power supply. Due to complexity in cost patterns of industrial sector in comparison with residential and commercial sector, a very few studies were conducted in this sector. So, three Craft paper mills of medium scale in Ludhiana (Punjab) were selected as a practical case to conduct a study considering the years 2008 and 2009. Customer survey approach was adopted because the customer is in the best position to assess the effects of interruptions or outages and thus give help to calculate associated costs more accurately. The primary purpose of conducting this survey was to establish monetary losses associated with off-days and peak load imposed by electricity board in 2008 and 2009. The number of weekly off-days and peak load was analyzed accurately through circulars available on the official website of Punjab State electricity Board. The approach called Customer Damage Function (CDF) was used in this study. It includes two terms, one that ascribes a cost to the energy not supplied in Rs/kWh and one that ascribes a cost to the load disconnected. CDF was calculated for three paper mills which portray the costs associated with outages as a function of outage duration.
Gastric Perforation Associated with Tuberculosis: A Case Report
Richdeep S. Gill,Sumeet S. Gill,Harshdeep Mangat,Sarvesh Logsetty
Case Reports in Medicine , 2011, DOI: 10.1155/2011/392769
Abstract: Gastric tuberculosis is a rare presentation of tuberculosis infection. Gastric perforation associated with tuberculosis is exceedingly rare with five previously published cases. We present a case of a male patient that developed presumed gastric tuberculosis secondary to pulmonary tuberculosis infection. He subsequently developed gastric perforation and sepsis, for which he was treated both surgically and medically. Despite ongoing antituberculosis treatment, the patient's condition worsened and the patient died secondary to multiorgan failure. This case highlights gastric perforation as a rare but devastating complication of pulmonary tuberculosis.
Bacterial and human peptidylarginine deiminases: targets for inhibiting the autoimmune response in rheumatoid arthritis?
Pamela Mangat, Natalia Wegner, Patrick J Venables, Jan Potempa
Arthritis Research & Therapy , 2010, DOI: 10.1186/ar3000
Abstract: Arginine is a positively charged, hydrophilic amino acid that is often found on the surface of proteins, where it participates in ionic interactions with other amino acid side chains and forms stabilizing hydrogen bonds with both the peptide backbone and amino acid side chains. These characteristics make it a key amino acid in the three-dimensional organization of proteins and in the interaction with other biological molecules. Hence, post-translational modification of arginine can alter the three-dimensional protein structure and function and potentially expose previously hidden epitopes to the immune system. Deimination (citrullination) of arginine side chains (peptidylarginine) to form peptidylcitrulline is one of many recognized post-translational modifications of this amino acid. This post-translational conversion is catalyzed by the family of peptidylarginine deiminase (PAD) enzymes. The process of protein citrullination plays a vital role in normal physiology, in which it is involved in the formation of rigid structures such as hair, skin, and myelin sheaths [1]. Aberrant citrullination has been observed in diseases of the skin and nervous system and in inflammatory arthritides, of which rheumatoid arthritis (RA) is one example [1]. Despite the ubiquity of citrullinated proteins, the autoantibody response to citrullinated proteins is largely restricted to RA [2]. The switch that leads to the generation of antibodies to citrullinated peptides and thus loss of immune tolerance to citrullinated proteins is likely to involve a complex interplay of individual genetic and environmental factors.In humans, a family of five PAD enzymes (PAD1 to 4 and PAD6), encoded by five genes clustered on chromosome 1p35-36, has been described [3]. Apart from PAD4, which can translocate to the nucleus, PAD enzymes are typically found in the cytoplasm of various cell types and show a characteristic tissue distribution. The localization and functions of each of the human PAD enzymes
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