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Search Results: 1 - 10 of 563 matches for " Narasimha Aparna "
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Gastric Adenocarcinoma Deposits Presenting as Multiple Cutaneous Nodules: A Case Report with Review of Literature
Aparna NARASIMHA,Harendra KUMAR
Türk Patoloji Dergisi , 2012,
Abstract: Metastases to the skin from internal tumors are uncommon, yet they may be the first presentation of such malignancies. They usually arise from the breast, lung and large bowel. Cutaneous metastases from gastric adenocarcinoma are extremely rare. We report a case of gastric adenocarcinoma that at presentation had multiple clinically benign looking skin nodules. Fine needle aspiration cytology of the cutaneous nodule revealed metastatic deposits. The current literature on cutaneous metastases of gastric carcinoma is reviewed in this case report.
Spectrum of changes in placenta in toxemia of pregnancy
Narasimha Aparna,Vasudeva D
Indian Journal of Pathology and Microbiology , 2011,
Abstract: Background: Toxemia of pregnancy is the leading cause of maternal mortality and is an important factor in fetal wastage. The incidence is high in developing countries with malnutrition, hypoproteinemia, and poor obstetric facilities. Objectives: The present study was undertaken to analyze placental changes in the preeclampsia-eclampsia syndrome with a view to assess the significance of villous abnormalities by histopathological methods because these changes serve as a guide to the duration and severity of disease. Gross abnormalities noted were the placental infarcts, retroplacental hematoma, and calcification. Results: The striking villous abnormalities observed in the study group were cytotrophoblastic proliferation (86%), thickening of the villous basement membranes (95.23%), increase in syncytial knots (90.4%), villous stromal fibrosis (92%), fibrinoid necrosis (97.82%), endarteritis obliterans (53.96%), decreased villous vascularity, and paucity of vasculosyncytial membranes (93.65%). Conclusions: The gross abnormalities and villous lesions in the preeclampsia (P < 0.001) and eclampsia syndrome (P < 0.05) were significant.
Retroperitoneal cystic schwannoma: A case report with review of literature
Narasimha Aparna,Harendra Kumar M,Kalyani R,Madan M
Journal of Cytology , 2010,
Abstract: The occurrence of retroperitoneal schwannoma is uncommon and its presence may only be expressed by insidious onset of nonspecific symptoms such as vague abdominal pain. Imaging modalities like computed tomography and magnetic resonance imaging may demonstrate the tumor, but due to heterogeneity and degeneration in some tumors, it may mimic malignancy. So, fine needle aspiration cytology followed by tissue sampling through needle biopsies may be essential to confirm the diagnosis prior to the surgery. This case is reported for its rare clinical presentation, having duration of more than 40 years with cystic degenerative changes.
Health expenditures and personal bankruptcies  [PDF]
Aparna Mathur
Health (Health) , 2012, DOI: 10.4236/health.2012.412192
Abstract: Using household-level data from the Panel Study of Income Dynamics, we estimate the extent to which medical expenses are responsible for driving households to bankruptcy. Our results suggest that an increase of 10 percent in medical debts would cause a 27 percent increase in the filing propensity of households with primarily medical debt, and an approximately 36 percent increase in filing propensity of households where medical debts co-exist with primarily credit card debts. Studying the post-bankruptcy scenario, we find that filers are 19 percent less likely to own a home even several years after the filing, compared to non-filers. However, the consequences are less adverse for medical filers i.e. those who filed due to high medical bills compared to other filers.
Industrial Unsustainability  [PDF]
Aparna Nayak
Journal of Geoscience and Environment Protection (GEP) , 2015, DOI: 10.4236/gep.2015.34003
Abstract: The development of unconventional gas exploration in the USA, in particular shale gas, caused a revolution in the American and the global gas markets. The regional-wide use of unconventional gas resources could stabilize the natural gas demand and the energy supply security of European and Asian countries. But traditionally, almost all gas contracts in Europe and Asia are linked to oil because of the demand for stable, long-term contracts. Furthermore, in many Asian countries, large state-owned enterprises dominate their national gas markets, leading to little competition and incentives to reduce gas prices. In Europe, the expansion of unconventional gas is facing grassroots opposition from environmental groups who are concerned about ground water safety, adequate waste water management, seismic events and greenhouse gas emissions. In this article, I will discuss the rapidly changing natural gas markets and the role and prospects of unconventional gas as well as its environmental impacts and unsustainability in industry level.
Clean India  [PDF]
Aparna Nayak
Journal of Geoscience and Environment Protection (GEP) , 2015, DOI: 10.4236/gep.2015.35015
Abstract: Mahatma Gandhi was mindful of the poor position of Indian rural people at that time and he dreamt of a cleaner India, where he emphasized on cleanliness and sanitation as an intact function of surviving. President Pranab Mukherjee in his address to Parliament in June 2014, said, “For ensuring hygiene, waste management and sanitation across the nation a “Swachh Bharat Mission” will be established. This will be our tribute to Mahatma Gandhi on his 150th birth anniversary to be celebrated in the year 2019”. The Narendra Modi Government will shortly establish the “Swachh Bharat” movement to solve the sanitation problem in India, to solve the problem of waste management and make India a clean state, ensuring hygiene all across the nation. Emphasizing “Clean India” on August 15, 2014 in his Independence Day speech, the Prime Minister said that this trend is linked with the economic activity of the state. This missionary work for creating a clean India will be launched on October 2, 2014, the birth anniversary of Mahatma Gandhi with the objective of completing the mission in 2019, the 150th birth anniversary of the father of the country.
ARR5 and ARR6 Mediate Tissue Specific Cross-talk between Auxin and Cytokinin in Arabidopsis  [PDF]
Aparna Kakani, Zhaohua Peng
American Journal of Plant Sciences (AJPS) , 2011, DOI: 10.4236/ajps.2011.24065
Abstract: Auxin and cytokinin interaction plays an essential role in a wide range of plant growth and developmental processes. The interaction consequence of the two hormones is highly tissue specific. The molecular mechanisms underlying the tissue specificity are largely unknown. Here we show that the cytokinin signaling pathway key components ARR5 and ARR6 respond to auxin with a highly tissue specific and contrasted pattern in Arabidopsis seedlings and calli in the presence of cytokinin. Our results suggest that the two highly homologous but functionally distinct genes, ARR5 and ARR6, play a critical role in mediating tissue specific interaction between auxin and cytokinin.
Keystroke Dynamics Based Authentication Using Information Sets  [PDF]
Aparna Bhatia, Madasu Hanmandlu
Journal of Modern Physics (JMP) , 2017, DOI: 10.4236/jmp.2017.89094
Abstract: This paper presents keystroke dynamics based authentication system using the information set concept. Two types of membership functions (MFs) are computed: one based on the timing features of all the samples and another based on the timing features of a single sample. These MFs lead to two types of information components (spatial and temporal) which are concatenated and modified to produce different feature types. Two Component Information Set (TCIS) is proposed for keystroke dynamics based user authentication. The keystroke features are converted into TCIS features which are then classified by SVM, Random Forest and proposed Convex Entropy Based Hanman Classifier. The TCIS features are capable of representing the spatial and temporal uncertainties. The performance of the proposed features is tested on CMU benchmark dataset in terms of error rates (FAR, FRR, EER) and accuracy of the features. In addition, the proposed features are also tested on Android Touch screen based Mobile Keystroke Dataset. The TCIS features improve the performance and give lower error rates and better accuracy than that of the existing features in literature.
Gap Functions and Error Bounds for Set-Valued Vector Quasi Variational Inequality Problems  [PDF]
Rachana Gupta, Aparna Mehra
Applied Mathematics (AM) , 2017, DOI: 10.4236/am.2017.812135
Abstract:
One of the classical approaches in the analysis of a variational inequality problem is to transform it into an equivalent optimization problem via the notion of gap function. The gap functions are useful tools in deriving the error bounds which provide an estimated distance between a specific point and the exact solution of variational inequality problem. In this paper, we follow a similar approach for set-valued vector quasi variational inequality problems and define the gap functions based on scalarization scheme as well as the one with no scalar parameter. The error bounds results are obtained under fixed point symmetric and locally α-Holder assumptions on the set-valued map describing the domain of solution space of a set-valued vector quasi variational inequality problem.
Keystroke Dynamics Based Authentication Using Possibilistic Renyi Entropy Features and Composite Fuzzy Classifier  [PDF]
Aparna Bhatia, Madasu Hanmandlu
Journal of Modern Physics (JMP) , 2018, DOI: 10.4236/jmp.2018.92008
Abstract: This paper presents the formulation of the possibilistic Renyi entropy function from the Renyi entropy function using the framework of Hanman-Anirban entropy function. The new entropy function is used to derive the information set features from keystroke dynamics for the authentication of users. A new composite fuzzy classifier is also proposed based on Mamta-Hanman entropy function and applied on the Information Set based features. A comparison of the results of the proposed approach with those of Support Vector Machine and Random Forest classifier shows that the new classifier outperforms the other two.
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