260 research outputs found
A Study on Financial Performance of Honda and Toyota Automobile Company A Comparative Analysis
Restricting Barrier and Finding the Shortest Path in Wireless Sensor Network Using Mobile Sink
Wireless Sensor Network (WSN) is a collection of spatially deployed in wireless sensors. In general, sensing field could contain various barriers which cause loss of information transferring towards the destination. As a remedy, this proposed work presents an energy-efficient routing mechanism based on cluster in mobile sink. The scope of this work is to provide a mobile sink in a single mobile node which begins data-gathering from starting stage, then immediately collects facts from cluster heads in single-hop range and subsequently, it returns to the starting stage. During the movement of the mobile sink if the barrier exists in the sensing field it can be detected using Spanning graph and Grid based techniques. The possible locations for the mobile sink movement can be reduced easily by Spanning graph. At last, Barrier avoidance-shortest route was established for mobile sink using Dijkstra algorithm. The Distributed location information is collected using a Timer Bloom Filter Aggregation (TBFA) scheme. In the TBFA scheme, the location information of Mobile node (MNs) is maintained by Bloom filters by each Mobile agent (MA). Since the propagation of the whole Bloom filter for every Mobile node (MN) movement leads to high signaling overhead, each Mobile agent (MA) only propagates changed indexes in the Bloom filter when a pre-defined timer expires. To verify the performance of the TBFA scheme, an analytical model is developed on the signaling overhead and the latency and devise an algorithm to select an appropriate timer value. Extensive simulation and Network Simulator 2(NS2) results are given to show the accuracy of analytical models and effectiveness of the proposed method
Immunoexpression of VEGF in Endometrial Carcinoma and Its Histopathological Correlation
INTRODUCTION :
Endometrial carcinoma is the third most common malignancy of female genital tract. Established prognostic factors in endometrial carcinoma include histological grade, depth of myometrial invasion and extra uterine spread. Of these Angiogenesis plays an important role in the uncontrolled proliferation, invasion and metastasis of carcinoma and VEGF is one of the most known promoters of angiogenesis. Cytoplasmic expression of VEGF is a measure of therapeutic significance and it measures the aggressiveness of malignancy.
AIM :
To study the spectrum of histomorphology of Endometrial carcinoma with special reference to immunohistochemical expression of VEGF in Endometrial carcinoma.
METHODS :
This is a prospective study undertaken for a period of one year. Total of 32 cases of Endometrial carcinoma were studied
Histopathologically and the Immunoexpression of VEGF in Endometrial carcinoma was correlated.
RESULTS :
Among the 32 cases Type I Endometrial carcinoma were 20 cases and Type II were 12 cases. Mean age of the present study is 54.96 years. In the 20 cases of Type I endometrial carcinoma 12 were of well differentiated grade which showed weak or moderate in positivity to VEGF. In the 12 case of Type II Endometrial carcinoma 8 were of Uterine papillary serous carcinoma , 3 were clear cell carcinoma and 1 was carcinosarcoma which strongly positive to VEGF.
CONCLUSION :
Angiogeneic activity in Endometrial carcinoma assessed by VEGF expression correlated well with tumour grading and appears to play an important role in endometrial carcinoma angiogenesis and indicates prognosis of patients.
KEY WORDS
Detection of mecA Gene and Identification of Potential Methicillin-resistant Staphylococcus Aureus in Hospital Wastewater Samples
Methicillin-resistant Staphylococcus aureus (MRSA) is one of the most important causes of hospital infections worldwide. Methicillin-resistant S. aureus (MRSA) tends to be resistant to multiple antibiotics. High-level resistance to antibiotics is caused by the mecA gene, which encodes an alternative penicillin-binding protein, PBP 2a. The present study was aimed to detect mecA in potential Methicillin-resistant Staphylococcus aureus (MRSA) isolates in clinical wastewater. Three hospital wastewater samples were collected and the bacteria were isolated in manitol salt agar (MSA) medium. PCR was performed and sequencing was done to screen the clinical bacterial isolates. Antibiotic resistance was also tested at the levels of 50, 100, 200 and 300 μg/mL ampicillin. The sequences were analyzed using BLAST (NCBI) and EMBOSS Needle tool (EMBL-EBI). DNA extracted from these bacterial isolates amplified further with mecA gene specific primers. Randomly selected two bacterial isolates of Polgahawela hospital effluent were able to grow at 200 μg/mL ampicillin. Sequence analysis of amplified mecA gene product of these two bacterial isolates showed sequence similarity with the penicillin-binding protein (mecA) gene of Staphylococcus aureus strain and methicillin-resistance gene region of Staphylococcus sciuri 28C with 95% and 96% identity respectively. Pairwise alignment results proved 89.6% sequence similarity between the two sequences. In conclusion, potential methicillin resistant staphylococcus aureus (MRSA) along with Staphylococcus sciuri was able to detect only in the clinical effluent collected from Polgahawela base hospital
Survey on Secure Mining of Association Rules in Vertically Distributed Databases
A distributed database system is a collection of sites connected on a common high bandwidth network. Logically, data belongs to the same system but physically it is spread over the sites of the network, making the distribution invisible to the user. The advantage of this distribution resides in achieving availability, performance, modularity and reliability. In this paper, I have done a survey of papers related to Mining of Association Rules over distributed databases. From this survey, we have come up with a proposed solution to address the problem of secure mining of association rules where transactions are distributed in vertically distributed databases. Each site holds some attributes of each transaction and the sites wish to participate in the identification of globally valid association rules However, the sites should not reveal individual transaction data. The Protocol is based on Apriori Algorithm [2] and MultiParty Algorithm [3] for efficiently discovering frequent item sets with minimum support levels, without either site communicating individual transaction values.
DOI: 10.17762/ijritcc2321-8169.15035
TOXICOLOGICAL PROFILE ON AYAPODI ELAGAM - A SIDDHA HERBOMINERAL FORMULATION IN WISTER ALBINO RATS
Ayapodi Elagam (A.E) was used in Siddha system of medicine for many years to treat Pandu (Anemia). This medicine contains Nellikai, Keezhanelli, Karisalai and Ayam. These herbs are helps to improve the blood to correct the anemia. This study was carried out to evaluate the acute and chronic toxic effect on Ayapodi Elagam and to determine the LD50. The toxicity study was done as per the guidelines of world health organization (WHO) guideline. As the herbs and Ayam were used for treating anemia by traditional practitioners for years together, the toxicity study was also proposed to study in both sexes. In acute study the animals were divided into two groups A.E was administered at 5000mg/kg orally and animals were observed for toxic sign at 0,5,1,4,24 hour and for 14 days. In chronic toxicity study A.E was administered at 450,900 and 1800 mg/kg body weight/day to 3 groups of animal, respectively. The distilled water was administered to control animals. The result showed that the acute toxicity study of A.E. at the dose level of 5000mg/kg does not produce any toxic sign and mortality among the experimental groups and the LD50 value of the drug was found to be more than 5000mg/kg bodyweight. The weight of rats, wellness parameters, mortality, hematological parameters, biochemical parameters and histological analysis of all vital organs were observed to know the chronic toxic effect of the drug. All the parameters of the study do not show the any significant chances between the control and experimental groups
Determinants of Foreign Institutional Investment in India: An Empirical Analysis
The purpose of the study is to explore the determinants of foreign institutional investments in India through the Autoregressive Distributed Lag (ARDL) bounds testing approach. Using quarterly time series data, the empirical analysis was carried out for the period from January 2004 to December 2011. Our study result shows that exchange rate has significant negative impact on FII inflows both in the short-run and long-run, implying that depreciation of currency adversely affects the FII flows into India. Moreover, the Indian equity market returns has negative short-run and positive long-run effects on FII inflows to India. This confirms the evidence of positive and negative feedback trading hypothesis in the short-run and long-run, respectively. The US equity market returns has positive and significant influence on FII flows in the long-run but positive and insignificant influence on FII flows in the short-run. The risks associated with US equity market encourage foreign institutional investors to invest more in Indian equity markets. Furthermore, domestic inflation exerts negative and positive significant influence on FII flows in the long-run and short-run, respectively. It can be concluded that FII inflows to India are essentially determined by exchange rate, domestic inflation, domestic equity market returns, returns and risk associated with US equity market
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