Evaluation of Phytochemical and Antistress Activity of Averrhoa carambola L.

In India, the medicinal plant Averrhoa carambola L. has been utilised for centuries to cure a wide range of illnesses and problems. The goal of the current study was to assess the ethanolic seed extract of Averrhoa carambola L. (EEAC) for its phytochemical and anti-stress properties Flavonoids were identified as the main phytoconstituents by EEAC. Studies on acute toxicity were conducted on albino mice. At a level of 2000 mg/kg body weight, the ethanolic extract did not have a deadly effect, and no abnormalities or deaths were seen for a 14-day period. The EEAC effect and the gold standard Ashwagandha were evaluated. The anti-stress potential of this plant was examined using swimming endurance tests, anoxic stress tolerance tests and immobilisation stress models. The findings show that 100 mg/kg, 200 mg/kg, and 400 mg/kg dosages of an ethanolic extract of Averrhoa carambola L. seed significantly reduced stress levels. Based on the findings, it was determined that Averrhoa carambola L. has strong anti-stress properties

Estimation of Population Mean on Recent Occasion under Non-Response in h-Occasion Successive Sampling

In this article, an attempt has been made to study on general estimation procedures of population mean on recent occasion when non-response occurs in h-occasion successive sampling. Suggested estimators have advantageously influenced the estimation procedures in the presence of non-response. Detailed properties of the suggested estimation procedures have been examined and compared with the estimation process of the same circumstances but in the absence of non-response. Empirical studies have been carried out to demonstrate the performances of the estimates and suitable recommendations have been made

Simulation Based Analysis of Temperature Effect on Breakdown Voltage of Ion Implanted Co/n-Si Schottky Diode

In semiconductor devices, breakdown voltage variation with temperature is a very significant study, since the reliability and performance of semiconductor devices especially depends upon the temperature. In this paper, the influence of temperature on breakdown characteristic of Ion Implanted edge terminated Co/n-Si Schottky Diode formed on n-Si epitaxial layer has been investigated by using SILVACO TCAD. It is also reported that not only resistive area present in close proximity to the edges of boron ion implanted Schottky diode are responsible for improvement in breakdown voltage but also the formation of PN junction near the edges, affect the breakdown voltage to a significant amount. The dopant concentration of epitaxial layer is 1 × 1015/cm3. The variation in reverse breakdown characteristics as a junction of temperature in the range of 300-1000 K is presented in this paper. A comparative study of breakdown voltages of Ion Implanted and as-prepared Schottky diode is also presented. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/3026

Changes in proximate, biochemical and microbiological characteristics of dried Labeo gonius fillets during storage at room temperature

An experiment was carried out to assess the changes in proximate, biochemical and microbiological characteristics of dried Labeo gonius fillets stored at room temperature. Moisture, crude protein, total lipids, nitrogen free extract (NFE) and ash content of the product were 77.46, 17.94, 2.2, 1.59 and 0.81%, respectively. Total volatile base nitrogen (TVB-N) content was found below the range suggested by various researchers for fish and fish products. Total plate count (TPC) of 1.54 × 104 cfu/g was observed and the dominant genera of bacteria were Pseudomonas spp., Micrococus spp., Streptococus sp., Barillus spp. and Vibrio spp. found in higher percentage. There were no appreciable changes in salted dried L. gonius stored in two different packaging materials. Total lipid showed a progressive decrease in the entire salted dried sample during the storage period. An increase in TVB-N was found in dried products stored in gunny bag. The packaging material used had a little effect on peroxide formation. The most common fungi found during storage in the specimen studied were Aspergillus sp. and Pencellium.Keywords: Labeo gonius, fish, TVB-N, lipid, moistureAfrican Journal of Biotechnology Vol. 12(20), pp. 2997-300

An Improved Generalized Estimation Procedure of Current Population Mean in Two-Occasion Successive Sampling

The present work is an attempt to make use of several auxiliary variables on both occasions for improving the precision of estimates for the current population mean in two-occasion successive sampling. A generalized exponential-cum-regression type estimator of the current population mean is proposed and its optimum replacement strategy has been discussed. Empirical studies are carried out to show the dominance of the proposed estimation procedure over the sample mean estimator and natural successive sampling estimator. Empirical results have been interpreted and suitable recommendations are put forward to survey practitioners

Numerical Modelling of Pure Metal Solidification using OpenFOAM

In this article, the isothermal phase change of pure metal is studied by using an opensource CFD tool. The single-domain mass, momentum and energy conservation equations are implemented in OpenFOAM to study the solidifica-tion behavior of the pure metal. The Darcy drag source term was used in momentum conservation equation for accounting the fluid flow in mushy region and enthalpy-porosity method was used to update the liquid fraction in each cell. The developed solver is well validated with the existing experimental results. The validated solver is used to simulate the isothermal phase change behavior of the pure tin (Sn). The results are presented for the evolution of flow field, temperature field and the solid/liquid interface. Results showed that the numerical simulation predictions are in good agreement with experimental measurements

Validation of MODIS Terra, AIRS, NCEP/DOE AMIP-II Reanalysis-2, and AERONET Sun Photometer Derived Integrated Precipitable Water Vapor Using Ground-Based GPS Receivers over India

Water vapor is an important and highly variable constituent in time and space; the knowledge of its variability is important in climate studies. In India, the ground observations of water vapor using conventional methods such as radiosonde are limited. In this paper, a comparison of hourly estimates of total column water vapor from Global Positioning System (GPS) with multisensor satellite is presented over three stations. We show quantitatively seasonal and monthly dependency of bias, standard deviation, root mean square error (RMSE), and the correlation coefficient between the water vapor data sets. The GPS and Aerosol Robotic Network (AERONET) water vapor show good agreement (R2 = 95%, RMSE 3.87 mm, GPS-AERONET bias = −2.63 mm). On the basis of multiple-year data, Moderate Resolution Imaging Spectroradiometer near-infrared (MODIS NIR) clear column product shows higher correlation (R2 = 89–93%) with GPS compared to infrared (IR) products (R2 = 82–84%). MODIS is found to be overestimating in NIR clear and IR products in all seasons over India where the magnitude of bias and RMSE show systematic changes from month to month. MODIS is significantly underestimating in NIR cloudy column products during summer and monsoon seasons. MODIS NIR clear column (R2 = 97%, RMSE 5.44 mm) and IR (R2 = 81%, RMSE 7.17 mm) water vapor show similar performance on comparison with AERONET data. The MODIS NIR cloudy column product shows no correlation with GPS. The GPS National Centers for Environmental Prediction/Department of Energy Atmospheric Model Intercomparison Project II (GPS-NCEP/DOE AMIP-II) Reanalysis-2 water vapor show R2 = 87%, 77%, and 60% (and RMSE of 8.39 mm, 6.97 mm, and 9.30 mm) over Kanpur, Hyderabad, and Bangalore, respectively. All the satellite water vapor shows systematic bias with month and season that is found to be sensitive to the sky conditions. The magnitude of bias is invariably larger during monsoon season with relatively more cloudy days and moist atmosphere. The errors in satellite estimation are found to be invariably more during wet compared to dry months. Statistical analysis shows that MODIS NIR clear column and Atmospheric Infrared Sounder (AIRS) daytime water vapor are more reliable compared to other satellite estimates (MODIS IR and AIRS nighttime) except during cloudy days

Simultaneously Learning Robust Audio Embeddings and balanced Hash codes for Query-by-Example

Audio fingerprinting systems must efficiently and robustly identify query snippets in an extensive database. To this end, state-of-the-art systems use deep learning to generate compact audio fingerprints. These systems deploy indexing methods, which quantize fingerprints to hash codes in an unsupervised manner to expedite the search. However, these methods generate imbalanced hash codes, leading to their suboptimal performance. Therefore, we propose a self-supervised learning framework to compute fingerprints and balanced hash codes in an end-to-end manner to achieve both fast and accurate retrieval performance. We model hash codes as a balanced clustering process, which we regard as an instance of the optimal transport problem. Experimental results indicate that the proposed approach improves retrieval efficiency while preserving high accuracy, particularly at high distortion levels, compared to the competing methods. Moreover, our system is efficient and scalable in computational load and memory storage.Comment: Submitted to ICASSP202