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Kabekkodu, Shama Prasada,Bhat, Samatha,Pandey, Deeksha,Varghese, Vinay Koshy,Shukla, Vaibhav,Ghosh, Supriti,Kushtagi, Pralhad,Bhat, Parvati,Gopinath, Puthiya Mundayat,Satyamoorthy, Kapaettu Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.5
Background: The human papillomavirus (HPV) and its variants show wide geographical distribution and have been reported to cause cervical lesions. With cervical neoplasia as the leading cancer in Indian women, the aim of the present study was to evaluate the multiple infection HPV type distribution and variant genotypes in cervical samples from the coastal Karnataka region, India. Materials and Methods: A total of 212 samples were screened by nested polymerase chain reaction using PGMY9/11 and GP5+/6+ primers. HPV positive samples were sequenced to identify the types and a phylogenetic tree was constructed using the neighbor-joining method. Results: Sequence analysis identified a total of 14 HPV types distributed in 20%, 73.3% and 82.5% of non-malignant, pre-malignant [low grade squamous intraepithelial lesion (LSIL) and high grade squamous intraepithelial lesion (HSIL)] and cervical cancer samples. The distribution of high risk HPV in cancer samples was HPV 16, 76.4%, HPV18, 11.7%, HPV81, 2.9%, HPV31, 1.4%, HPV35, 1.4% and HPV 45, 1.4%. Multiple infections were observed in 11.8% of tumor samples with HPV 16 contributing to 62.5% of cases. In non-malignant samples, 20% of HPV positive samples were detected with HPV16, 82.3%, HPV33, 5.8% and HPV58, 5.8% and very low incidence of multiple infections. Comparative phylogenetic analysis of HPV variants identified 9 HPV sequences as new papillomavirus species, predominantly classified as European lineage type. Conclusions: The findings for HPV infections associated with progression of cervical cancer in coastal Karnataka region and HPV variant analysis provide baseline data for prevention and HPV vaccination programs.
An Efficient Machine Learning Model for Clinical Support to Predict Heart Disease
Rao, B.Vara Prasada,Reddy, B.Satyanarayana,Padmaja, I. Naga,Kumar, K. Ashok International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.6
Early detection can help prevent heart disease, which is one of the most common reasons for death. This paper provides a clinical support model for predicting cardiac disease. The model is built using two publicly available data sets. The admissibility and application of the the model are justified by a sequence of tests. Implementation of the model and testing are also discussed
Domestic versus Multilateral Institutions in Bilateral Trade: A Comparative Gravity Analysis
D. V. Pahan Prasada 한국국제경제학회 2013 International Economic Journal Vol.27 No.1
The role of domestic and multilateral institutional variables in determining bilateral trade is estimated using recent cross-sectional data covering 192 countries. Linear estimations are conducted using lognormal and Tobit models while multiplicative models use Poisson and hurdle Poisson-logit estimators. The multiple indices of domestic institutional quality available are scaled into four categories using multidimensional scaling. Membership of trade and political organizations proxy for multilateral institutional heterogeneity. Count data models a report better model fit and conservative estimates compared with linear estimations. Domestic institutional quality has a significant but moderate association with bilateral trade while multilateral institutions have a substantially large and statistically significant association with trade.
Effect of fineness of high lime fly ash on pozzolanic reactivity and ASR mitigation
Kaveh Afshinnia,Prasada R. Rangaraju 사단법인 한국계산역학회 2017 Computers and Concrete, An International Journal Vol.20 No.2
Typically, high lime fly ash (Class C) has been characterized as a fly ash, which at lower replacement levels is not as effective as the low lime (Class F) fly ash, in mitigating alkali-silica reaction (ASR) in portland cement concrete. The influence of fineness of Class C, obtained by grinding virgin fly ash into finer particles, on its pozzolanic reactivity and ASR mitigation performance was investigated in this study. In order to assess the pozzolanic reactivity of mortar mixtures containing virgin or ground fly ashes, the strength activity index (SAI) test and thermo-gravimetric analysis (TGA) were conducted on the mortar cubes and paste samples, respectively, containing virgin fly ash or two ground fly ashes. In addition, to evaluate any improvement in the ASR mitigation of ground fly ashes compared to that of the virgin fly ash, the accelerated mortar bar test (AMBT) was conducted on the mortar mixtures containing different dosages of either virgin or ground fly ashes. In all tests crushed glass aggregate was used as a highly reactive aggregate. Results from this study showed that the finest fly ash (i.e., with an average particle size of 3.1 microns) could increase the flow ability along with the pozzolanic reactivity of the mortar mixture. However, results from this study suggested that the fineness of high lime fly ash does not seem to have any significant effect on ASR mitigation.
A Novel Node Management in Hadoop Cluster by using DNA
Balaraju. J,PVRD. Prasada Rao International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.9
The distributed system is playing a vital role in storing and processing big data and data generation is speedily increasing from various sources every second. Hadoop has a scalable, and efficient distributed system supporting commodity hardware by combining different networks in the topographical locality. Node support in the Hadoop cluster is rapidly increasing in different versions which are facing difficulty to manage clusters. Hadoop does not provide Node management, adding and deletion node futures. Node identification in a cluster completely depends on DHCP servers which managing IP addresses, hostname based on the physical address (MAC) address of each Node. There is a scope to the hacker to theft the data using IP or Hostname and creating a disturbance in a distributed system by adding a malicious node, assigning duplicate IP. This paper proposing novel node management for the distributed system using DNA hiding and generating a unique key using a unique physical address (MAC) of each node and hostname. The proposed mechanism is providing better node management for the Hadoop cluster providing adding and deletion node mechanism by using limited computations and providing better node security from hackers. The main target of this paper is to propose an algorithm to implement Node information hiding in DNA sequences to increase and provide security to the node from hackers.
Norovirus Infection in Children with Acute Lymphoblastic Leukemia
Reddy Nalla Anuraag,Raj Keerthi,Lashkari Harsha Prasada 대한감염학회 2023 Infection and Chemotherapy Vol.55 No.3
Norovirus infection in children on treatment for acute lymphoblastic leukemia can lead to severe morbidity due to chronic viral shedding, malabsorption, failure to thrive, and interruption of chemotherapy. We had four children with norovirus diarrhoea in eight years period in our pediatric oncology unit. Three children under two years of age had chronic noroviral shedding and persistent diarrhoea, probably due to poor adaptive immune responses. Two of those children didn’t respond to nitazoxanide and succumbed to the illness. The third patient who received nitazoxanide and favipiravir, is currently well on chemotherapy.
Prediction of the surface roughness of AA6082 flow-formed tubes by design of experiments
M. Srinivasulu,M. Komaraiah,C. S. Krishna Prasada Rao 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.6
Flow forming is a modern, chipless metal forming process that is employed for the production of thin-walled seamless tubes. Experiments are conducted on AA6082 alloy pre-forms to flow form into thin-walled tubes on a CNC flow-forming machine with a single roller. Design of experiments is used to predict the surface roughness of flow-formed tubes. The process parameters selected for this study are the roller axial feed, mandrel speed, and roller radius. A standard response surface methodology (RSM) called the Box–Behnken design is used to perform the experimental runs. The regression model developed by RSM successfully predicts the surface roughness of AA6082 flow-formed tubes within the range of the selected process parameters.
CO2 fixation and lipid production by microalgal species
Srinivasa Reddy Ronda,Pavani Parupudi,Chandrika Kethineni,Pradip Babanrao Dhamole,Sandeep Vemula,Prasada Rao Allu,Mahendran Botlagunta,Sujana Kokilagadda 한국화학공학회 2016 Korean Journal of Chemical Engineering Vol.33 No.2
Microalgal species Nannochloropsis limnetica, Botryococcus braunii, and Stichococcus bacillaris were compared for their ability to grow, remove CO2, and accumulate lipids in their biomass under CO2-enriched atmosphere. Overall, N. limnetica outperformed the other two cultures and distinctly exhibited higher specific growth rate (0.999 d−1) and CO2 fixation rate (0.129 gL−1 d−1) with a high specific lipid yield (40% w/w). The volumetric CO2 fixation rate for all three species was validated with biomass productivity and mass transfer methods (P<0.005 and R2=0. 98). At 10% CO2, N. limnetica showed one-and-a-half times more carbon fixation efficiency over B. braunii, and S. bacillaris. On the other hand, total fatty acids of N. limnetica dispalyed an apparent increase in oleic acid. Whereas, under similar conditions, N. limnetica exhibited reduced eicosapentaenoic acid. These findings suggest that at high CO2 conditions, N. limnetica proved to be an efficient CO2 capture algal system and can be considered for biofuel applications.