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Search Results: 1 - 10 of 686 matches for " Reema Bhatt "
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Elevated Cardiac Troponin in Acute Stroke without Acute Coronary Syndrome Predicts Long-Term Adverse Cardiovascular Outcomes
Farhan Raza,Mohamad Alkhouli,Paul Sandhu,Reema Bhatt,Alfred A. Bove
Stroke Research and Treatment , 2014, DOI: 10.1155/2014/621650
Abstract: Background. Elevated cardiac troponin in acute stroke in absence of acute coronary syndrome (ACS) has unclear long-term outcomes. Methods. Retrospective analysis of 566 patients admitted to Temple University Hospital from 2008 to 2010 for acute stroke was performed. Patients were included if cardiac troponin I was measured and had no evidence of ACS and an echocardiogram was performed. Of 200 patients who met the criteria, baseline characteristics, electrocardiograms, and major adverse cardiovascular events (MACE) were reviewed. Patients were characterized into two groups with normal and elevated troponins. Primary end point was nonfatal myocardial infarction during follow-up period after discharge. The secondary end points were MACE and death from any cause. Results. For 200 patients, 17 patients had positive troponins. Baseline characteristics were as follows: age , 64% African Americans, 78% with hypertension, and 22% with previous CVA. During mean follow-up of 20.1 months, 7 patients (41.2%) in elevated troponin and 6 (3.3%) patients in normal troponin group had nonfatal myocardial infarction (). MACE (41.2% versus 14.2%, ) and death from any cause (41.2% versus 14.5%, ) were significant in the positive troponin group. Conclusions. Elevated cardiac troponin in patients with acute stroke and no evidence of ACS is strong predictor of long-term cardiac outcomes. 1. Background The relationship between acute stroke and coronary artery disease is complex, and they are related to each other in multiple ways. Acute stroke confers a significant increase in adverse cardiac outcomes during short- and long-term follow-up [1]. A subset of patients with stroke might be at higher risk of long-term adverse cardiovascular outcomes. Identifying these patients, ideally with a simple test or biomarker, can help to reduce their long-term risk of adverse events. Troponin is a highly sensitive and specific marker for myocardial necrosis that is used in the diagnosis and prognosis of patients with acute coronary syndrome. However, troponin elevation has been documented in multiple clinical settings in the absence of ACS [2, 3]. Increase in troponin has been documented in all types of stroke including ischemic stroke and subarachnoid hemorrhage [4]. In a meta-analysis of 15 studies involving 2,901 patients, elevated troponins were documented in 18.1% patients with stroke that included patients with EKG changes suggestive of myocardial ischemia [3]. Troponin elevation has also been documented in acute stroke without any evidence of acute coronary syndrome [5]. While some
A Quantitative Analysis of Collision Resolution Protocol for Wireless Sensor Network  [PDF]
Reema Patel, Dhiren Patel
Journal of Software Engineering and Applications (JSEA) , 2015, DOI: 10.4236/jsea.2015.88036
Abstract: In this paper, we present formal analysis of 2CS-WSN collision resolution protocol for wireless sensor networks using probabilistic model checking. The 2CS-WSN protocol is designed to be used during the contention phase of IEEE 802.15.4. In previous work on 2CS-WSN analysis, authors formalized protocol description at abstract level by defining counters to represent number of nodes in specific local state. On abstract model, the properties specifying individual node behavior cannot be analyzed. We formalize collision resolution protocol as a Markov Decision Process to express each node behavior and perform quantitative analysis using probabilistic model checker PRISM. The identical nodes induce symmetry in the reachable state space which leads to redundant search over equivalent areas of the state space during model checking. We use “ExplicitPRISMSymm” on-the-fly symmetry reduction approach to prevent the state space explosion and thus accommodate large number of nodes for analysis.
Floristic Composition and Change in Species Diversity over Long Temporal Scales in Upper Bhotekoshi Hydropower Project Area in Nepal  [PDF]
Ramesh Prasad Bhatt, Sarala Bhatt
American Journal of Plant Sciences (AJPS) , 2016, DOI: 10.4236/ajps.2016.71004
Abstract: Forest and vegetation of particular ecosystem is generally influenced by external factors especially from development activities. Nepal has been endowed with an immense variety of forest resources with its unique biodiversity. The current study is conducted in the temperate forest of central Nepal to compare the state of vegetation recorded during 1995 with the present condition. To identify floristic composition, species distribution and diversity, same location and same size of quadrates were selected in natural forest and planted or regenerated area as in previous study. Measurement and analytical tools for forest and vegetation reveled a total of 19 species and 341 individuals in 0.14 ha regenerated area and 18 species, 17 genera and 260 individuals in 0.16 ha, natural forest areas. However, in 1995, total 31 individuals of 20 woody species, 18 genera and 15 families were recorded within the sampling plots of 0.16 ha of natural forest. Moreover, Alnus nepalensis is found dominating regenerated area and Caryopteris odorata in natural forests whereas in 1995, Litsea chartacea and Maesa chisia were recorded dominant. The Shannon’s diversity H’ = 2.908, E = 0.970 and Var H’ = -0.00 and Simpsons D = 0.027 recorded in 1995 is found to be with higher values when compared with the analysis of present study. Furthermore, in comparison to 1995 study, this study showed lower basal area and timber volume with declining species diversity. Although, the natural forest is found with higher species composition compared to rehabilitated forest, species of herbs and shrubs were found extensively growing.
Reema Srivastava
International Journal of Pharmaceutical Sciences and Research , 2011,
Abstract: Amaranthus vegetable and seeds are highly nutritious. Four species of Amaranthus were planted in pots in a glass house and leaves were harvested. Fresh leaves were analyzed for protein and carbohydrate content and oven dried leaves for Fe, Ca, K and Na contents. Protein content was varied from 6.10-9.00g/100g of fresh leaves. The amount of carbohydrate in fresh leaves of all four species varied from 9.75g-21.29g. Among the species, A. spinosus showed higher amount (21.29g) which is almost two folds higher than A. tricolor (9.75g). Results showed that A. viridis had higher accumulation (54mg). Overall K amount in the dry leaves of the four species varied between 2230-3900mg per 100 g of dry leaves and it was almost 2 fold differences between values of lowest and highest accumulation. The variation in amount of Ca was 38 fold higher, A. spinosus from the minimum amount (A. blitum). Fe content in dry leaves was maximum in A. viridis (15mg per 100g of dry wt) followed by A. spinosus (13.28mg), A. tricolor (10mg) and A. blitum (9mg). Wild species had more amount of Fe than cultivated species. The results of this study indicate a nutritive potential for the Amaranthus leaves, therefore, domestication of this plant is suggested along with assessment of its chemical and nutritional properties.
Controls on Gosaikunda Lake Chemistry within Langtang National Park in High Himalaya, Nepal  [PDF]
Maya P. Bhatt, Seema Bhatt, Birgit Gaye
International Journal of Geosciences (IJG) , 2014, DOI: 10.4236/ijg.2014.510094
Abstract: Surface water samples and lake bed sediments were collected and analyzed from Gosaikunda Lake within Langtang National Park (28°05'N, 85°25'E; 4380 m a.s.l.) in the central Himalayan region of Nepal during fall 2011. The major cations and anions in equivalents were present in the following order: \"\" and \"\", respectively. Sulfide oxidation coupled with carbonate dissolution and aluminosilicate dissolution appeared to be the dominant geochemical processes determining lake water dissolved ions. Sulfate concentration was much higher than the alkalinity which is
Characterization of Negative Exponential Distribution through Expectation  [PDF]
Milind Bhatt B.
Open Journal of Statistics (OJS) , 2013, DOI: 10.4236/ojs.2013.35042

For characterization of negative exponential distribution one needs any arbitrary non-constant function only in place of approaches such as identical distributions, absolute continuity, constant regression of order statistics, continuity and linear regression of order statistics, non-degeneracy etc. available in the literature. Path breaking different approach for characterization of negative exponential distribution through expectation of non-constant function of random variable is obtained. An example is given for illustrative purpose.

Characterization of Power-Function Distribution through Expectation  [PDF]
Milind Bhanuprasad Bhatt
Open Journal of Statistics (OJS) , 2013, DOI: 10.4236/ojs.2013.36052

For the characterization of the power function distribution, one needs any arbitrary non constant function only in place of independence of suitable function of order statistics, linear relation of conditional expectation, recurrence relations between expectations of function of order statistics, distributional properties of exponential distribution, record valves, lower record statistics, product of order statistics and Lorenz curve, etc. available in the literature. The goal of this research is not to give a different path-breaking approach for the characterization of power function distribution through the expectation of non constant function of random variable and provide a method to characterize the power function distribution as remark. Examples are given for the illustrative purpose.

Characterization of Generalized Uniform Distribution through Expectation  [PDF]
Milind B. Bhatt
Open Journal of Statistics (OJS) , 2014, DOI: 10.4236/ojs.2014.48052
Abstract: Normally the mass of a root has a uniform distribution but some have different uniform distributions named Generalized Uniform Distribution (GUD). The characterization result based on expectation of function of random variable has been obtained for generalized uniform distribution. Applications are given for illustrative purpose including a special case of uniform distribution.
Cobb Syndrome: A Case Report with Review of Clinical and Imaging Findings  [PDF]
Alok Bhatt, Peter Kalina
Open Journal of Clinical Diagnostics (OJCD) , 2014, DOI: 10.4236/ojcd.2014.44033
Abstract: Cobb syndrome is a rare entity characterized by cutaneous vascular lesions and arteriovenous malformations in the spine, both in the same metamere. This syndrome is also known as cutaneous vertebral medullary angiomatosis, cutaneomeningospinal angiomatosis, and spinal arterial metameric disorder. We report the case of a male infant diagnosed with Cobb syndrome who was treated surgically. The presence of a cutaneous vascular lesion in this patient prompted subsequent imaging for spinal angioma or AVM in the same dermatome. Early recognition in this patient was shown to be life-changing, as patients with Cobb syndrome who have undergone early intervention have shown to be without neurologic deficit or have a halt in progression of symptoms.
Fair Employee Treatment and Financial Characteristics of Firms  [PDF]
Himanshu Joshi, Prachi Bhatt
Theoretical Economics Letters (TEL) , 2019, DOI: 10.4236/tel.2019.94060
Abstract: Present paper investigates the interactions between firm’s key financial decisions and its fair employee treatment and welfare policies. Fair employee treatment has two components—measurable and unmeasurable. Certain ratios like employee compensation to sales, employee compensation to total assets, and total employee welfare to sales are computed to capture the measurable part of fair employee treatment. To envisage the unmeasurable component, a dummy variable for fair employee treatment is used which is based on the listing of the firm in India’s Best Companies to Work for 2017: The complete List prepared by Great Place to Work and published by Economic Times. Linear multiple regression analysis is conducted using firm’s leverage, price to book value, and enterprise value to EBDITA as dependent variables, and fair employee treatment, and employee compensation to sales as independent variables. Results indicate a negative relationship between employee compensation and firm valuation, and confirm that high leverage firms are more likely to cut-down on employee compensation but ensure better and fair treatment of employees. The result of binary logistic regression model predicts that firm’s dividend policy, employee stock options, and firm leverage positively impact the probability of fair employee treatment.
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