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Search Results: 1 - 10 of 221309 matches for " Suresh Chandran C "
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′Hidden mounts′ in Duchenne muscular dystrophy
Suresh Chandran C
Neurology India , 2008,
Abstract:
Malignant syndrome in Parkinson′s disease without dopaminergic drug withdrawal
Suresh Chandran C
Annals of Indian Academy of Neurology , 2008,
Abstract: Malignant syndrome is a rare complication occurring during the course of drug treatment for Parkinson′s disease. It resembles neuroleptic malignant syndrome and is characterized by fever, marked rigidity, altered consciousness, leucocytosis and elevated creatine kinase. Malignant syndrome is a potentially fatal condition and awareness of this condition is imperative for prevention and treatment. The commonest precipitating factor is dopaminergic drug withdrawal or dose reduction. We report malignant syndrome (precipitated by hyponatremia) in a case of Parkinson′s disease, in the absence of dopaminergic drug withdrawal. A 60-year-old man presented with fever, severe rigidity and altered sensorium following repeated vomiting. On investigation, he was found to have hyponatremia precipitated malignant syndrome. Treatment with hydration, cooling, correction of hyponatremia and dopaminergic drugs reversed his condition. The triad of fever, severe rigidity and altered sensorium should prompt evaluation for malignant syndrome in Parkinson′s disease.
Periodic sharp wave triplets and quadruplets
Suresh Chandran C
Annals of Indian Academy of Neurology , 2008,
Abstract:
Hemi-capsulo-rhombencephalic demyelination
Suresh Chandran C,Maheshwaran V,Unni Madhavan
Annals of Indian Academy of Neurology , 2010,
Abstract:
Hemi brain demyelination - A variant of acute disseminated encephalomyelitis
Suresh Chandran C,Saddiq M,Joji Prameela,Unni Madhavan
Indian Journal of Medical Sciences , 2010,
Abstract:
Hot cross bun sign
Suresh Chandran C,Godge Y,Oak P,Ravat S
Neurology India , 2008,
Abstract:
Madelung′s disease with myopathy
Suresh Chandran C,Godge Y,Oak P,Ravat S
Annals of Indian Academy of Neurology , 2009,
Abstract:
Boxicity of Halin Graphs
L. Sunil Chandran,Mathew C. Francis,Santhosh Suresh
Mathematics , 2007,
Abstract: A k-dimensional box is the Cartesian product R_1 x R_2 x ... x R_k where each R_i is a closed interval on the real line. The boxicity of a graph G, denoted as box(G) is the minimum integer k such that G is the intersection graph of a collection of k-dimensional boxes. Halin graphs are the graphs formed by taking a tree with no degree 2 vertex and then connecting its leaves to form a cycle in such a way that the graph has a planar embedding. We prove that if G is a Halin graph that is not isomorphic to K_4, then box(G)=2. In fact, we prove the stronger result that if G is a planar graph formed by connecting the leaves of any tree in a simple cycle, then box(G)=2 unless G is isomorphic to K_4 (in which case its boxicity is 1).
Importance of Generalized Logistic Distribution in Extreme Value Modeling  [PDF]
K. Nidhin, C. Chandran
Applied Mathematics (AM) , 2013, DOI: 10.4236/am.2013.43080
Abstract:

We consider a problem from stock market modeling, precisely, choice of adequate distribution of modeling extremal behavior of stock market data. Generalized extreme value (GEV) distribution and generalized Pareto (GP) distribution are the classical distributions for this problem. However, from 2004, [1] and many other researchers have been empirically showing that generalized logistic (GL) distribution is a better model than GEV and GP distributions in modeling extreme movement of stock market data. In this paper, we show that these results are not accidental. We prove the theoretical importance of GL distribution in extreme value modeling. For proving this, we introduce a general multivariate limit theorem and deduce some important multivariate theorems in probability as special cases. By using the theorem, we derive a limit theorem in extreme value theory, where GL distribution plays central role instead of GEV distribution. The proof of this result is parallel to the proof of classical extremal types theorem, in the sense that, it possess important characteristic in classical extreme value theory, for e.g. distributional property, stability, convergence and multivariate extension etc.

Aid Effectiveness and Capacity Development: Implications for Economic Growth in Developing Countries  [PDF]
Prabuddha Sanyal, Suresh C. Babu
Modern Economy (ME) , 2012, DOI: 10.4236/me.2012.35075
Abstract: In this paper, we present a stylized model for understanding the relationship between capacity strengthening and eco-nomic growth in an endogenous growth framework. Endogenous growth theory provides a novel starting point for combining individual, organizational, and enabling environmental issues as part of attaining the capacity-strengthening goal. Our results indicate that although donors can play an important role in aiding countries to develop their existing capacities or to generate new ones, under certain conditions, the potential also exists for uncoordinated and fragmented donor activities to erode country capacities. From the policy exercises, we demonstrate that improving economy-wide learning unambiguously increases the rate of growth of output, technology, capital stock, and capacity. Moreover, a donor’s intervention has the maximum impact on the above variables when the economy’s capacity is relatively low. In contrast, donor intervention can lead to “crowding-out effects” when the economy’s capacity is moderately high. Under such a situation, the economy never reaches a new steady state. Our results not only lend support to diminishing returns to aid but also to an S model of development aid and country capacity relationship.
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