Big Data Classification of Ultrasound Doppler Scan Images Using a Decision Tree Classifier Based on Maximally Stable Region Feature Points

The classification of ultrasound scan images is important in monitoring the development of prenatal and maternal structures. This paper proposes a big data classification system for ultrasound Doppler scan images that combines the residual of maximally stable extreme regions and speeded up robust features (SURF) with a decision tree classifier. The algorithm first preprocesses the ultrasound scan images before detecting the maximally stable extremal regions (MSER). A few essential regions are chosen from the MSER regions, along with the residual region that provides the best Region of Interest (ROI). SURF features points that best represent the region are detected using the gradient of the estimated cumulative region of interest. To extract the feature from the pixels that surround the SURF feature points, the Triangular Vertex Transform (TVT) transform is used. A decision tree classifier is used to train the extracted TVT features. The proposed ultrasound scan image classification system is validated using performance parameters such as accuracy, specificity, precision, sensitivity, and F1 score. For validation, a large dataset of 12,400 scan images collected from 1792 patients is used. The proposed method has an F1score of 94.12%, sensitivity, specificity, precision, and accuracy of 93.57%, 93.57%, and 97.96%, respectively. The evaluation results show that the proposed algorithm for classifying Doppler scan images is better than other algorithms that have been used in the past.&nbsp

Phylogenetic diversity of culturable bacteria in Chaetoceros gracilis mass culture system of a marine finfish hatchery

Microalgae, a major live feed in aquaculture always coexist with associated bacteria. Hence a better understanding of algal-bacterial interaction is essential for maintaining a stable environment in intensive larval rearing tanks. Therefore, herein we attempted to determine the phylogenetic diversity of culturable bacteria associated with microalgal production system of a marine finfish hatchery with special reference to Chaetoceros gracilis mass culture. The sequencing of 16S rDNA of representative from each phylotypes revealed that the associated microflora belong to the classes Gammaproteo bacteria, Alphaproteo bacteria, and Bacilli. In particular, members of Marinobacter genus showed higher degree of association followed by Leisingera, Alteromonas, Nautella, Halomonas and Ruegeria. The association of bacterial groups belonging to the genera Idiomarina, Albidovulum and Staphylococcus were also detected. The variation of bacterial diversity in microalgal habitat with changes in environmental conditions was also discussed in the present work. In overall, the present study gives a greater insight to the algal microhabitat which would be vital for improving stability, productivity, sustainability and reliability of large scale microalgal cultivation and their feeding to the target aquaculture species

Estimation of yield and grain qualities of marker assisted backcross derived lines of submergence rice against sheath blight disease

Sheath blight caused by Rhizoctonia solani is one of the most devastating diseases of rice (Oryza sativa) and causes enormous yield losses over the world after blast, the disease can cause yield loss upto 50 per cent in advanced stage and adversely affects quality of straw. Breeding for resistant varieties is the only viable option to combat the disease efficiently. In this study, our findings showed a significant increase in number of spikelet’s per panicle (3.45 %), test weight (0.62 %) and grain yield (0.72 %) compared to recurrent parent Swarna sub-1. The range of mean performance of 18 BC2F1 selected improved lines varied for per cent disease severity from 26.75 to 43.58 at 16 days after inoculation. Among the 18 improved lines, only four lines (Swarna sub-1-6, Swarna sub-1-32, Swarna sub-1-13 and Swarna sub-1-29) showed resistance score of 1-3. The remaining fourteen lines showed moderate resistance with a score of 3-5. Hence, the resistance line could be exploited in sheath blight resistance breeding programme and the same line can also be released as a variety against sheath blight of rice after testing over multilocation trails

Time-dependent Hartree-Fock theory of charge exchange: Application to He2+ + He

An application of the time-dependent Hartree-Fock (TDHF) theory of charge transfer in atomic collisions is presented. Probabilities for elastic and double symmetric charge exchange are calculated for a fixed laboratory scattering angle and for collision energies from 10 to 70 keV. The TDHF equations are solved using finite difference techniques and propagated in time using the Peaceman-Rachford alternating-direction implicit method. Plots of time-evolved charge densities are presented also

Establishment of Two Varieties in Tecoma stans of Indian Origin Pharmacognostically and Pharmacologically

The plant Tecoma stans (L.) Kunth, belongs to family Bignoniaceae and commonly known as “Pachagotla†is a dicotyledonous herb popularly grown for its flowers as an ornamental / garden plant in normal gardens and temples. It is also known as Bignonia stans L. Almost all parts of the plant is reported for its medicinal use. This plant is considered to be very effective in the treatment of diabetes. The leaves contain the alkaloids tecomine and tecostamine which is potent hypoglycaemic agent when given intravenously. Anthranilic acid is responsible for the antidiabetic activity, roots are powerful diuretic and vermifuge and tonic. In order to ensure the use of only genuine and uniform material in preparation of herbal formulation, work on standardization was carried out. Morphological and anatomical aspects as well as differential microchemical response have been worked out to identify the diagnostic features of the leaf. Physical constant values involving moisture content, ash and extractives as well as qualitative and quantitative estimation of various phytochemicals have been studied. The presence of alkaloids, carbohydrates, glycosides and proteins were the chemical constituents recorded. Pharmacologically the alpha – glucosidase inhibitory activity of alcoholic and aqueous extracts were carried out by using the goat intestine method.Key words: Tecoma stans, Bignoniaceae, Variant, Diabetes, Alpha – glucosidase Rao K N V et al. Establishment of Two Varieties in Tecoma stans of Indian Origin Pharmacognostically and Pharmacologically. J Phytol 2/8 (2010) 92-102