Effect of Small Molecule Inhibitor Fisetin over Proliferation of Human Non-Small Cell Pulmonary Carcinoma

The percentage of cancer-related deaths attributable to diet and tobacco globally is reported to be as high as 60-70%. A large number of dietary compounds have gained research interest and tested to determine their chemopreventive / antiproliferative effects on in-vivo/in-vitro models. The present study effect of flavonoid fisetin on proliferation of human lung carcinoma cells A549 and NCI-H460 was investigated. The effect of fisetin on cell growth was investigated by MTT, Crystal violet, XTT, LDH release, and colony forming assays. Cell proliferation was assessed by BrdU incorporation test. Further, cell morphology and cytopathology was analyzed by crystal violet test and hematoxylin and eosin staining. Results of study revealed that fisetin treatment exerted a dose dependent decrease in the growth of A549 and NCI-H460 cells with IC50 values of 190µM and 210µM respectively. It also inhibited cell proliferation and colony formation in both A549 and NCI-H460 cells. Cytopathology studies exhibited features such as nuclear fragmentation, cytoplasmic vacuolation, karyorrhexis, chromatin condensation, which were suggestive of apoptotic cell death. Results of the study indicate growth inhibitory, anti-proliferative and pro-apoptotic effects of fisetin on lung carcinoma cells

Mouth Image Based Person Authentication Using DWLSTM and GRU

Recently several classification methods were introduced to solve mouth based biometric authentication systems. The results of previous investigations into mouth prints are insufficient and produce lesser authentication results. This is mainly due to the difficulties that accompany any analysis of the mouths: mouths are very flexible and pliable, and successive mouth print impressions even those obtained from the same person may significantly differ from one other. The existing machine learning methods, may not achieve higher performance and only few methods are available using deep learning for mouth biometric authentication. The use of deep learning based mouth biometrics authentication gives higher results than usual machine learning methods. The proposed mouth based biometric authentication (MBBA) system is rigorously examined with real world data and challenges with the purpose that could be expected on mouth-based solution deployed on a mobile device. The proposed system has three major steps such as (1) database collection, (2) creating model for authentication, (3) performance evaluation. The database is collected from Annamalai University deep learning laboratory which consists of 5000 video frames belongs to 10 persons. The person authentication model is created using divergence weight long short term memory (DWLSTM) and gated recurrent unit (GRU) to capture the temporal relationship in mouth images of a person. The existing and proposed methods are implemented via the Anaconda with Jupyter notebook. Finally the results of the proposed model are compared against existing methods such as support vector machine (SVM), and Probabilistic Neural Network (PNN) with respect to metrics like precision, recall, F1-score, and accuracy of mouth

Comparison of pre-operative and post-operative liver function tests in patients undergoing laparoscopic cholecystectomy at different intra-peritoneal pressures

Background: Establishing pneumoperitoneum is a pre-requisite for any laparoscopic procedure. However, its adverse effects are not uncommon. Increased intra-peritoneal pressure during laparoscopic cholecystectomy is expected to alter the liver function test (LFT) in immediate post-operative period, which may raise concerns in surgeons’ mind regarding integrity of biliary tract. The aim of our study was to compare the post-operative LFT with pre-operative values in patients undergoing laparoscopic cholecystectomy at different pneumoperitoneal pressures and to assess its clinical significance. Methods: It was a prospective observational study in which the enrolled patients were divided into 2 groups. Group 1 patients underwent laparoscopic cholecystectomy at 12 mm Hg pressure and group 2 underwent the surgery at 15 mmHg pressure. Pre-operative LFT was compared with post-operative LFT done 24 hours and 2 weeks after surgery. Results: Among 73 included patients, 41 constituted group 1 and 32 were included in group 2. Statistically significant difference was observed in hepatic transaminases between pre-operative and post-operative (1st POD) values. Mean AST in group 1: 34.7 versus 51.4 U/l; in group 2, the values were 35.1 versus 50.9 U/l respectively. Mean ALT in group 1: 36.3 versus 50.1 U/l; in group 2, values were 32.9 versus 45.6 U/l respectively. However, the enzymes normalized in all patients in 2 weeks without any adverse clinical outcome. Conclusions: Early post-operative transient elevation of hepatic transaminases after laparoscopic cholecystectomy is not associated with any adverse clinical outcome.

A note on a generalisation of a definite integral involving the Bessel function of the first kind

We consider a generalisation of a definite integral involving the Bessel function of the first kind. It is shown that this integral can be expressed in terms of the Fox-Wright function pΨq(z) of one variable. Some consequences of this representation are explored by suitable choice of parameters. Further, we compte the range of numerical approximation values of the Ramanujan’s cosine integral φC (m,n) and sine integral φS (m,n) for distinct values of m and n by Wolfram Mathematica software. In addition, two closed-form evaluations of infinite series of the Fox-Wright function are deduced and these sums have been verified numerically using Mathematica.</p

Spatial Analysis on the provision of Urban Amenities and their Deficiencies - A Case Study of Srinagar City, Jammu and Kashmir, India

The paper examined inequality in the distribution of urban amenities in Srinagar City. Inequality in the study area is manifested in the form of unequal provision of social amenities within the wards (municipal units) of the City. The spatial distribution and concentration of two social amenities, viz, educational institutions and fire service stations was studied. The study mainly relied on the secondary sources of data. The Z-score variate has been used to determine the spatial concentration pattern in the provision of these amenities. However, Lorenz Curve proved to be a useful tool in accessing and quantifying the spatial disparity. The results of the analysis indicate that inequalities exist in the provision of accessibility of these amenities among different wards in Srinagar city. The reasons for the uneven distribution of urban amenities are spurt urban growth in the last three decades and poor management planning. The paper suggests that planning body must keep pace with the urban sprawl in order to ensure the equitable distribution of urban amenities in the city. Keywords: Amenities, Wards, Srinagar City, Well-being, Accessibility, Lorenz Curv