Harvesting Image Databases from The Web

The research work presented here includes data mining needs and study of their algorithm for various extraction purpose. It also includes work that has been done in the field of harvesting images from web. Here the proposed method is to harvest image databases from web. We can automatically generate a large number of images for a specified object. By applying concept of data mining and the algorithm from data mining which is used for extraction of data or harvesting images. A multimodal approach employing text ,metadata and visual  features is used to gather many high-quality images from the web. The modules can be made to find query images by selecting images where nearby text is top ranked by the topic i.e., formation of image clusters then download associate images by using approaches like web search, image search and Google images. Apply re-ranking algorithm and then filtering process to harvest the images.Currently, image search gives a very low precision (only about 4%) and is not used for the harvesting experiments. Since the movements of the technologies are growing rapidly the kinds of work also need to be grown up. This work shows an approach to harvest a large number of images of a particular class automatically and to achieve this with high precision by providing training databases so that a new object model can be learned effortlessly. Many other tools also are available for harvesting images from web .An approach in this paper is original and up to the mark. Keywords: Legacy code, re-engineering, class diagrams, Aggregation, Association, Attribute

Is PMI a good leading indicator of industrial production?: Evidence from India

The manufacturing Purchasing Managers’ Index is often used by policy makers to gauge the ‘nerve’ of the real economy and as lead indicator of industrial activity. This paper makes an effort to evaluate whether the PMI is indeed a good lead indicator of IIP or whether by relying on PMI the policy makers are making a systematic error. Using ARDL technique, this paper largely support the claim that the PMI is a good lead indicator of industrial activity, albeit only in the short run

Is PMI a good leading indicator of industrial production?: Evidence from India

The manufacturing Purchasing Managers’ Index is often used by policy makers to gauge the ‘nerve’ of the real economy and as lead indicator of industrial activity. This paper makes an effort to evaluate whether the PMI is indeed a good lead indicator of IIP or whether by relying on PMI the policy makers are making a systematic error. Using ARDL technique, this paper largely support the claim that the PMI is a good lead indicator of industrial activity, albeit only in the short run

EVALUATION OF ANTI-ASTHMATIC ACTIVITY OF METHANOLIC EXTRACT OF BERLERIA PRIONITIS LINN. AERIAL PARTS

Objective: The aim of the present study is to evaluate the aerial parts of a plant of Barleria prionitis Linn., for its antiasthmatic activity with the separation of active moieties.Methods: Adult wistar albino rats were used for the anti-inflammatory study. Histamine-induced bronchospasm was conducted on isolated goat trachea.Results: The dried and powdered aerial parts of Berleria prionitis was extracted with continuous soxhlet extraction with Petroleum ether (40-60 ° C), Chloroform, Ethyl acetate, Acetone, Methanol, and Hydroalcoholic solvents. Preliminary phytochemical screening of all extracts was done. Preliminary animal studies by In vitro isolated goat trachea chain preparation of all extracts were done to find out the potent extract. In this study, the methanolic extract of aerial parts of Berleria prionitis was found to be potent comparative to another extract. The results of carrageenan induced rat paw oedema model indicated the dose-dependant anti-inflammatory activity. As compared to standard drug (Indomethacin), methanolic extract showed similar activity which was found to be statistically significant (P<0.0001). The extent of DPPH radical scavenging was determined by calculated the IC50 value of methanolic extract Berleria prionitis (133.5) compared with the Ascorbic acid (114.7) taken as standard. In the present study, the histamine-induced dose-dependent contraction of goat tracheal chain was significantly inhibited (p<0.001) by methanolic extract of aerial parts of Berleria prionitis (200 μg/ml). Thus the present study revealed that the methanolic extract of Berleria prionitis (MEBP) has significant antihistaminic (H1 receptor antagonist) activity.Conclusion: In view the fact that tribal have well experienced the antiasthmatic effects of the roots of Barleria prionitis Linn. The results of our study, for the first time, show that the methanolic extract of aerial parts of Berleria prionitis Linn. possesses antioxidant, anti-inflammatory, Bronchodilator properties and therefore can be used for the antiasthmatic treatment

Effectiveness of cervical length screening by transvaginal sonography and use of progesterone for preventing preterm labour

Background: Incidence of preterm labour is about 6-15 % of pregnancies worldwide. It is major public health problem in terms of loss of life, long term disability, and health care cost both in developing and developed countries. The incidence of preterm births in India is estimated to be 11-14 % which means about 3 to 4 million preterm live births annually. Early identification of at risk pregnant women with timely referral will help to decrease the extreme prematurity rate, thereby reducing morbidity, mortality and will have a profound impact on societal and long-term public healthcare costs. So this study where vaginal progesterone was administered in women with short cervix detected by Transvaginal sonography to prevent preterm labour will be helpful in decreasing cases with preterm delivery and hence improve the perinatal outcome.Methods: It is prospective observational study in which 100 ANC patients who were registered at KEM Hospital a tertiary care centre in Mumbai in India at 16-24 weeks of gestation were studied to determine usefulness of 200 mg vaginal progesterone twice daily till 36 weeks in preventing preterm birth in those having cervical length 25mm or less.Results: Among 100 participants in this study, 48 (48%) were primigravida and 52 (52%) were multigravida. Out of 48% primigravida in the present study, preterm labour is prevented in 75% of women by the use of vaginal progesterone and out of 52% of multigravida, it is prevented in 71.2% of women.Conclusions: The study concluded that use of vaginal progesterone 200 mg in women with cervical length 25 mm or less measured by transvaginal sonography (as a good predictor of preterm labour) has useful effect in preventing preterm labour as well as associated neonatal mortality and morbidity. Neonatal survival is critically dependent on maturity of an infant and progressively increases with gestational age. Each day critically impacts on maturity and survival. Thus prevention and/or effective management of preterm labour will improve neonatal outcome and will have a profound impact on societal and long-term public healthcare costs

Recommendation Based On Comparative Analysis of Apriori and BW-Mine Algorithm

With The Growth of WWW recommending appropriate and relevant page to the user is a challenging task. In many web Applications, user would like to get recommendation based on their interest of surfing. Web Mining is used to extract relevant information for the user from logs, web content, hyperlinks etc. In this paper we will be using logs to recommend frequent access patterns to the users .This paper aims at using the logs of user ,cleaning logs , identifying users , identifying session , completing sessions from website structure and then using and comparing different recommendation algorithm like Apriori Algorithms and BW-Mine to recommend frequent items to the user. We will also be comparing different recommendations Algorithm with the help of example. The fundamental of finding access patterns with Apriori is that any set that occurs frequently must have its frequent subset. The fundamental of finding access pattern with BW-Mine, it constructs the WB-table, VI-List, and HI-Counter for finding frequent patterns

TOM-1/tomosyn acts with the UNC-6/netrin receptor UNC-5 to inhibit growth cone protrusion in Caenorhabditis elegans

In the polarity/protrusion model of growth cone repulsion from UNC-6/netrin, UNC-6 first polarizes the growth cone of the VD motor neuron axon via the UNC-5 receptor, and then regulates protrusion asymmetrically across the growth cone based on this polarity. UNC-6 stimulates protrusion dorsally through the UNC-40/DCC receptor, and inhibits protrusion ventrally through UNC-5, resulting in net dorsal growth. Previous studies showed that UNC-5 inhibits growth cone protrusion via the flavin monooxygenases and potential destabilization of F-actin, and via UNC-33/CRMP and restriction of microtubule plus-end entry into the growth cone. We show that UNC-5 inhibits protrusion through a third mechanism involving TOM-1/tomosyn. A short isoform of TOM-1 inhibited protrusion downstream of UNC-5, and a long isoform had a pro-protrusive role. TOM-1/tomosyn inhibits formation of the SNARE complex. We show that UNC-64/syntaxin is required for growth cone protrusion, consistent with a role of TOM-1 in inhibiting vesicle fusion. Our results are consistent with a model whereby UNC-5 utilizes TOM-1 to inhibit vesicle fusion, resulting in inhibited growth cone protrusion, possibly by preventing the growth cone plasma membrane addition required for protrusion

OPTIMIZATION OF EXTRACTION PARAMETERS FOR TOTAL FLAVONOIDS FROM GARDENIA GUMMIFERA GUM RESIN BY RESPONSE SURFACE METHODOLOGY

Objective: To optimize the extraction parameters for determining the highest yield of Total Flavonoids from Gardenia gummifera gum resin.Methods: In the present study, response surface methodology (RSM) with three level Box Behenken design (BBD) was performed to optimize extraction parameters for total flavonoids. Solvent concentration(A), extraction time (B) and extraction temperature(C) were considered for single factor experiment.Results: The highest flavonoid concentration was obtained with acetone 45.00% v/v, time 101.46 min, temperature 41.57 °C. The average experimental TFC under optimal conditions was 161.14 mg/g which was in close agreement with the predicted value of 163.42 mg/g.Conclusion: RSM-BBD is successfully applied in optimizing extraction conditions for extraction of total flavonoids from G. gummifera gum resin