Super Fibonacci Graceful Labeling of Some Special Class of Graphs

A Fibonacci graceful labeling and a super Fibonacci graceful labeling on graphs were introduced by Kathiresan and Amutha in 2006

Response of antioxidant metabolism to NaCl stress in the halophyte Salicornia brachiata Roxb.

The present study was conducted to determine how salinity affects growth and enzymatic activity in shoot and root organs of Salicornia brachiata Roxb. The seedlings were treated with various concentration of exogenous addition of NaCl ranging from 0 to 700mM was added. The 700mM NaCl treatment significantly reduced the growth rate. The shoot and root length, fresh and dry weight increased significantly upto 400mM NaCl and thereafter drastically reduced. The antioxidant enzyme such as catalase (CAT), peroxidase (PO), polyphenoloxidase (PPO), superoxide dismutase (SOD) activity increased upto 400mM NaCl. Beyond this level all the enzyme activity gradually reduced. The increase in the enzyme activity was probably due to the direct influence of salt stress on enzyme synthesis and the induction of enzyme synthesis by salt stress may play a role in the salt tolerance

Electrical neurostimulation for chronic pain: on selective relay of sensory neural activities in myelinated nerve fibers

Chronic pain affects about 100 million adults in the US. Despite their great need, neuropharmacology and neurostimulation therapies for chronic pain have been associated with suboptimal efficacy and limited long-term success, as their mechanisms of action are unclear. Yet current computational models of pain transmission suffer from several limitations. In particular, dorsal column models do not include the fundamental underlying sensory activity traveling in these nerve fibers. We developed a (simple) simulation test bed of electrical neurostimulation of myelinated nerve fibers with underlying sensory activity. This paper reports our findings so far. Interactions between stimulation-evoked and underlying activities are mainly due to collisions of action potentials and losses of excitability due to the refractory period following an action potential. In addition, intuitively, the reliability of sensory activity decreases as the stimulation frequency increases. This first step opens the door to a better understanding of pain transmission and its modulation by neurostimulation therapies

Integrated UnderOversampling Responsive based Fetal Health Prediction using Cardiotocographic Data

With the current enhancement of advancement towards pharmaceutical, particular ultrasound strategies are open to discover the fetal thriving. It is analyzed with assorted clinical parameters with 2-D imaging and other test. In any case, success want of fetal heart still remains an open issue due to unconstrained works out of the hatchling, the minor heart assess and lacking of information in fetal echocardiography. The machine learning techniques can discover out the classes of fetal heart rate which can be utilized for prior assessing. With this background, we have utilized Cardiotocographic Fetal heart rate dataset removed from UCI Machine Learning Store for predicting the fetal heart rate health classes.  The Prediction of fetal health rate are achieved in six ways. Firstly, the data set is preprocessed with Feature Scaling and missing values. Secondly, exploratory data investigation is done and the dispersion of target feature is visualized. Thirdly, the raw data set is fitted to all the classifiers and the performance is analysed before and after feature scaling. Fourth, the raw data set is subjected to undersampling methods like NeighbourhoodCleaningRule, OneSidedSelection, RandomUnderSampler, TomekLinks, SmoteENN and SmoteTomek. Fifth, the undersampled dataset by above mentioned methods are fitted to all the classifiers and the performance is analyzed before and after feature scaling. Sixth, performance analysis is done using metrics like Precision, Recall, F-score, Accuracy and running time. The execution is done using python language under Spyder platform with Anaconda Navigator. Experimental results shows that the Random Forest classifier tends to retain 98% before and after feature scaling for the undersampling with NeighbourhoodCleaningRule, SmoteENN and SmoteTomek methods comparing to other methods

DEVELOPMENT OF ASSAY METHOD AND FORCED DEGRADATION STUDY OF VALSARTAN AND SACUBITRIL BY RP-HPLC IN TABLET FORMULATION

Objective: A stability-indicating high performance liquid chromatographic (HPLC) method was developed and validated for the estimation of combined tablet formulation of valsartan and sacubitril.Methods: Chromatographic separation was optimized by gradient HPLC on a C18 column [Xterra, 250 x 4.6 mm, 5µ] utilizing a mobile phase consisting acetonitrile, methanol and potassium dihydrogen phosphate, pH 3.8 in the ratio of 30: 50:20 v/v at a flow rate of 1 ml/min with UV detection at 263 nm.Results: The retention time of sacubitril and valsartan was 3.01 min and 4.22 min respectively. Good linearity obtained over the range of 20μg/ml to 160μg/ml for valsartan and sacubitril. The correlation coefficient was found to be 0.999and0.998 for sacubitril and valsartan respectively. The % RSD of precision for sacubitril and valsartan was found to be 0.31 and 0.27 respectively. The % mean recovery was found to be 99.20-99.54% for valsartan and 99.85-100.90% for sacubitril. The results obtained for accuracy, precision, LOD, LOQ and ruggedness were within limits.Conclusion: The proposed HPLC method was found to be simple, specific, precise, accurate, rapid and economical for simultaneous estimation of valsartan and sacubitril in bulk and tablet dosage form. Thus the validated economical method was applied for forced degradation study of valsartan and sacubitril tablet

ANTI-ARTHRITIC AND ANTI-INFLAMMATORY ACTIVITY OF ETHANOLIC LEAF EXTRACT OF ORMOCARPUM SENNOIDES

Objective: The study focuses on evaluating the anti-inflammatory and anti-arthritic activity of ethanolic extract of Ormocarpum sennoides (Os), a herb belonging to the family fabaceae. Both in vitro and in vivo methods were employed to study the anti-inflammatory activity of Os extract.Methods: The in vitro analysis of Os extract was performed by HRBC membrane stabilization and protein denaturation methods. The in vivo analysis was done by Formalin-induced paw edema and acetic acid induced writhing test using wistar male albino rats as an animal model.Results: The in vitro analysis revealed the inhibition of hemolysis and protein denaturation in a dose-dependent manner in concentrations ranging from 50-500 µg/ml. The in vivo study showed that Os extract reduced the number of paw lickings and abdominal writhing significantly at dosage concentrations of 200 mg/kg body weight and 300 mg/kg body weight compared with standard diclofenac sodium (p<0.05).Conclusion: These results support the application of Os extract in ailing arthritis and treatment of painful inflammatory conditions.Keywords: Anti-inflammatory activity, Anti-arthritic activity, Ormocarpum sennoides, Rheumatoid arthriti

Discrimination and Injustice against Metis Indigenous in Maria Campbell’s Halfbreed

Maria Campbell is a Metis author, playwright, filmmaker and broadcaster. She is also working as a volunteer, activist and advocate for Aboriginal rights and the women rights. She is best known for her autobiography and memoir Halfbreeds which voice out against the trash nature of the white settlers who caused hindrances to the innocent indigenous people of Canada. The quest for equality and dignity remains a dream in the hearts of aboriginal people. This book is the journey of the self discovery of the author herself.  The protagonist and the narrator Maria Campbell is the representation of Halfbreeds who did not have their own place in the Canadian society. This article presents Halfbreeds’ frustrated mindset and their thirst for freedom. It also expresses the pitiable conditions of Halfbreed women socially and economically. The Halfbreed women’s quest for equal rights and the oppression of the white and men is the major theme spoken in this article.&nbsp

p-Laplace Variational Image Inpainting Model Using Riesz Fractional Differential Filter

In this paper, p-Laplace variational image inpainting model with symmetric Riesz fractional differential filter is proposed. Variational inpainting models are very useful to restore many smaller damaged regions of an image. Integer order variational image inpainting models (especially second and fourth order) work well to complete the unknown regions. However, in the process of inpainting with these models, any of the unindented visual effects such as staircasing, speckle noise, edge blurring, or loss in contrast are introduced. Recently, fractional derivative operators were applied by researchers to restore the damaged regions of the image. Experimentation with these operators for variational image inpainting led to the conclusion that second order symmetric Riesz fractional differential operator not only completes the damaged regions effectively, but also reducing unintended effects. In this article, The filling process of damaged regions is based on the fractional central curvature term. The proposed model is compared with integer order variational models and also GrunwaldLetnikov fractional derivative based variational inpainting in terms of peak signal to noise ratio, structural similarity and mutual information

Bounds For The Complex Part of Phase Velocity

We study incompressible, inviscid, density stratified fluid with variable cross section in this present paper. For this problem, we have obtained a bound for the complex part of phase velocity. Furthermore, we have obtained an instability region which depends on number of parameters