A Protease Isolated from the Latex of Plumeria rubra Linn (Apocynaceae) 1: Purification and Characterization

Purpose: To isolate, purify and characterize protease from the latex of the plant.Methods: Protease was isolated from the latex of Plumeria rubra Linn using acetone precipitation method and purified by a sequence of DEAE cellulose column chromatography, followed by two successive column purification in Sephadex G-50 and Sephadex G-200. The molecular weight of the purified protease was determined by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDSPAGE). The protease was given a trivial name, Plumerin-R.Results: Plumerin-R showed a single protein band on SDS-PAGE and molecular weight was approximately 81.85 kDa. It remained active over a broad range of temperature but had optimum activity at 55 °C and pH 7.0 when casein was used as substrate. Activation of the protease by a thiol-activating agent indicated the presence of sulfhydryl as an essential group for its activity.Conclusion: A protease from the latex of Plumeria rubra Linn was purified to homogeneity by a simple purification procedure and then characterized.Keywords: Protease, Plumerin-R, Sulfhydryl, Purification; Characterizatio

Validating a novel angular power spectrum estimator using simulated low frequency radio-interferometric data

The "Tapered Gridded Estimator" (TGE) is a novel way to directly estimate the angular power spectrum from radio-interferometric visibility data that reduces the computation by efficiently gridding the data, consistently removes the noise bias, and suppresses the foreground contamination to a large extent by tapering the primary beam response through an appropriate convolution in the visibility domain. Here we demonstrate the effectiveness of TGE in recovering the diffuse emission power spectrum through numerical simulations. We present details of the simulation used to generate low frequency visibility data for sky model with extragalactic compact radio sources and diffuse Galactic synchrotron emission. We then use different imaging strategies to identify the most effective option of point source subtraction and to study the underlying diffuse emission. Finally, we apply TGE to the residual data to measure the angular power spectrum, and assess the impact of incomplete point source subtraction in recovering the input power spectrum $C_{\ell}$ of the synchrotron emission. This estimator is found to successfully recovers the $C_{\ell}$ of input model from the residual visibility data. These results are relevant for measuring the diffuse emission like the Galactic synchrotron emission. It is also an important step towards characterizing and removing both diffuse and compact foreground emission in order to detect the redshifted $21\, {\rm cm}$ signal from the Epoch of Reionization.Comment: 18 pages, 1 table, 9 figures, Accepted for publication in New Astronom

A Protease Isolated from the Latex of Plumeria rubra Linn (Apocynaceae) 2: Anti-inflammatory and Wound- Healing Activities

Purpose: The aim of this study was to investigate the anti-inflammatory and wound-healing activities of the protease isolated from the latex of Plumeria rubra Linn.Methods: The protease was isolated from the latex of the plant by acetone precipitation method and given a trivial name, Plumerin-R. The anti-inflammatory activity of the protease was based on its effects on carrageenan-induced paw oedema in rats. Its wound healing effect was investigated using an excision wound rat model.Results: Four hours after treatment, the reduction in carrageenan-induced rat paw oedema by 20, 40 and 80 mg/kg body weight of plumerin-R was 21.6, 33.8 and 48.8 %, respectively, while oedema reduction by indomethacin (10 mg/kg) was 58.0 %. Plumerin-R showed significant (p < 0.05) wound closure and epithelialization time compared with control.Conclusion: This study demonstrates that the protease, Plumerin-R, has significant anti-inflammatory and wound-healing properties.Keywords: Protease, Plumerin-R, Anti-inflammatory, Excision wound, Healing

Impact of vegetation on the simulation of seasonal monsoon rainfall over the Indian subcontinent using a regional model

The change in the type of vegetation fraction can induce major changes in the local effects such as local evaporation, surface radiation, etc., that in turn induces changes in the model simulated outputs. The present study deals with the effects of vegetation in climate modeling over the Indian region using the MM5 mesoscale model. The main objective of the present study is to investigate the impact of vegetation dataset derived from SPOT satellite by ISRO (Indian Space Research Organization) versus that of USGS (United States Geological Survey) vegetation dataset on the simulation of the Indian summer monsoon. The present study has been conducted for five monsoon seasons (1998-2002), giving emphasis over the two contrasting southwest monsoon seasons of 1998 (normal) and 2002 (deficient). The study reveals mixed results on the impact of vegetation datasets generated by ISRO and USGS on the simulations of the monsoon. Results indicate that the ISRO data has a positive impact on the simulations of the monsoon over northeastern India and along the western coast. The MM5- USGS has greater tendency of overestimation of rainfall. It has higher standard deviation indicating that it induces a dispersive effect on the rainfall simulation. Among the five years of study, it is seen that the RMSE of July and JJAS (June-July-August-September) for All India Rainfall is mostly lower for MM5-ISRO. Also, the bias of July and JJAS rainfall is mostly closer to unity for MM5-ISRO. The wind fields at 850 hPa and 200 hPa are also better simulated by MM5 using ISRO vegetation. The synoptic features like Somali jet and Tibetan anticyclone are simulated closer to the verification analysis by ISRO vegetation. The 2 m air temperature is also better simulated by ISRO vegetation over the northeastern India, showing greater spatial variability over the region. However, the JJAS total rainfall over north India and Deccan coast is better simulated using the USGS vegetation. Sensible heat flux over north-west India is also better simulated by MM5-USGS

Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch

This is the author accepted manuscript. The final version is available from IEEE via the DOI in this recordIn this work we introduce a cross modal image retrieval system that allows both text and sketch as input modalities for the query. A cross-modal deep network architecture is formulated to jointly model the sketch and text input modalities as well as the the image output modality, learning a common embedding between text and images and between sketches and images. In addition, an attention model is used to selectively focus the attention on the different objects of the image, allowing for retrieval with multiple objects in the query. Experiments show that the proposed method performs the best in both single and multiple object image retrieval in standard datasets.European Union Horizon 2020CERCA Programme/Generalitat de Cataluny

Efficacy of anti-thrombotic treatment in thrombophilia patients with adverse pregnancy outcome

Background: Thrombophilia is a potentially treatable cause of adverse pregnancy outcome. The objective was to compare the fetomaternal outcome in thrombophilia patients with adverse pregnancy outcome after treating with low-molecular-weight (LMW)/ unfractionated heparin and aspirin.Methods: 54 antenatal women studied who had an earlier or presenting pregnancy complicated by adverse pregnancy outcome were included in this study. In the present pregnancy, therapy consisting of LMW heparin and aspirin was administered who were found to be thrombophilia positive. Patients also received folic acid supplementation throughout their pregnancy. The fetomaternal outcome is compared according to the time of initiation of treatment.Results: Low-molecular-weight heparin and aspirin was well tolerated and none of the women or the newborns developed any hemorrhagic complications.3 thrombophilia negative cases with history of recurrent pregnancy loss aborted even getting treatment from 1 trimester. 1 thrombophilia positive case with history of recurrent pregnancy loss aborted when received treatment from 2nd trimester. There is 25.8% increase in birth weight of neonate if thrombophilia positive cases were treated from 1st trimester. Whereas there was only 10.23% increase in birth weight in thrombophilia negative cases when treated from first trimester. We found, our treatment was significantly effective in preventing IUD, IUGR, abruption, abortion, eclampsia. Though prevention of PIH had no significant correlation with antithrombotic treatment, only 2 cases booked from 1st trimester developed PIH among thrombophilia positive cases. But neither of cases had suffered from any severe complication as compared to 81% of eclampsia cases, 16.67% of DVT cases, 1 case of mortality in cases treated after third trimester.Conclusions: This case control trial suggests that patients with adverse pregnancy outcome and thrombophilia may get benefit from treatment with combined LMW heparin and aspirin in subsequent pregnancies. We suggest all patients with adverse pregnancy outcome should be investigated for thrombophilia markers

Altered resistin and IL6 in Neonatal sepsis in patients admitted in a tertiary care teaching hospital at Eastern India

Background: Neonatal sepsis is a clinical syndrome followed by bacteraemia in the first month of life and appears to be one of the primary causes of mortality and morbidity worldwide. The study aim was to detect the levels of resistin, IL-6, CRP and hs-CRP in clinically suspected cases of neonatal sepsis and establish its association with the pathogenesis of the disease. Materials & Methods: The case control study consists of 78 neonates of whom 42 were clinically suspected case of sepsis admitted in NICU of Paediatric department and were taken as cases and 36 were normal healthy neonates taken as control subjects in a tertiary care teaching hospital, Durgapur, West Bengal. The cases as well as controls were within 28 days of age. Preterm and term neonates (< 28 days of age) of both sexes showing signs of both early and late onset sepsis and also blood culture positive were included in the study. Two ml of blood was collected without anticoagulant and serum was separated by centrifugation at 3500 rpm for 15-20 mins and was used for measurement of hs-CRP, resistin and IL 6. Serum hs-CRP levels was determined with a high-sensitivity nephelometric method while the serum level of IL-6 and Resistin were measured by immunoassay Kits (Raybiotech, USA). Results: Serum resistin levels were increased in sepsis cases as compared to controls and were statistically significant (38.96 ± 17.15 vs 15.49 ± 8.54 ng/ml; p < 0.0001). It was also observed that serum IL 6 levels were higher in sepsis cases as compared to controls which was statistically significant (58.19 ± 39.97 versus 8.48 ± 3.90 pg/ml; P < 0.0001). However, a weak positive correlation was observed between serum resistin with serum IL 6 level (r = 0.343; P = 0.025) among neonatal sepsis subjects while no correlation was seen in controls (r = 0.141; P = 0.411). Conclusion: The measurement of these sepsis markers is extremely important only in case of neonates with unclear infectious status. We have observed a significant rise in Resistin or IL 6 or hs-CRP which may be suggested as specific marker for the identification of neonatal sepsis.  The combination of Resistin or IL 6 or CRP or hs-CRP could therefore be crucial for the diagnosis and would be better predictors of neonatal sepsis and may be crucial in the pathogenesis of the disease. Keywords: Preterm neonates, neonatal sepsis, mortality and morbidity, serum resistin, interleukin-6 (IL-6), hs-CR