HIGH-QUALITY AIMING CLASSIFICATION TO CONSIGN BUGS

To lower time cost in manual work, text classification techniques are put on conduct automatic bug triage. Within this paper, we address the issue of information reduction for bug triage, i.e., how you can lessen the scale and improve the caliber of bug data. Software companies spend over 45 percent of cost in working with software bugs. An unavoidable step of fixing bugs is bug triage, which aims to properly assign a developer to a different bug. We combine instance selection with feature selection to concurrently reduce data scale around the bug dimension and also the word dimension. To look for the order of using instance selection and have selection, we extract characteristics from historic bug data sets and make a predictive model for any new bug data set. Our work provides a technique for leveraging techniques on information systems to create reduced and-quality bug data in software development and maintenance. We empirically investigate performance of information reduction on totally 600,000 bug reviews of two large free projects, namely Eclipse and Mozilla. The outcomes reveal that our data reduction can effectively lessen the data scale and enhance the precision of bug triage

Comparison of prices of commonly used drugs in AMRIT pharmacy, Jan Aushadhi Centre and Private chemist shop: An analytical study from a tertiary care centre in Haryana

Background: The price of medicine in India has always been a point of discussion in public domain. The price range of the same drug is very large with more than 100% difference between various brands available in different settings. Aims and Objectives: To assess the price of different drugs at Jan Aushasdhi (JA), AMRIT and Private Chemist and to compare the prices of these three outlets so that the issues. Material and Methods: This institution-based cross-sectional study was carried out from May 2019 to June 2019. A pretested proforma was prepared to compare the prices of 284 different medicines in Jan Aushadhi, AMRIT and private chemist shops. The collected data were entered in an Excel spreadsheet and presented in Proportions, percentages, and mean. Results: The price of 284 medicines were compared from JA (Median(IQR)- 15.18(18.75) INR) and Private chemist shop (Median(IQR)-88(111.5) INR) while 249 medicine from AMRIT (Median(IQR)-61.05(78.33) INR). Although the majority of the AMRIT drugs are cheaper than the chemist shop except for 31% of Antipsychotic drugs, 26.6% of antihypertensives, 25% of respiratory drugs, 25% of steroids, 21.9% of antibiotics. Conclusion: We concluded that JA is providing drugs cheaper than AMRIT and Private chemist . The prices of medicines offered at AMRIT  are lower than market pricing but they are costlier when compared to JA prices

Why my photos look sideways or upside down? Detecting Canonical Orientation of Images using Convolutional Neural Networks

Image orientation detection requires high-level scene understanding. Humans use object recognition and contextual scene information to correctly orient images. In literature, the problem of image orientation detection is mostly confronted by using low-level vision features, while some approaches incorporate few easily detectable semantic cues to gain minor improvements. The vast amount of semantic content in images makes orientation detection challenging, and therefore there is a large semantic gap between existing methods and human behavior. Also, existing methods in literature report highly discrepant detection rates, which is mainly due to large differences in datasets and limited variety of test images used for evaluation. In this work, for the first time, we leverage the power of deep learning and adapt pre-trained convolutional neural networks using largest training dataset to-date for the image orientation detection task. An extensive evaluation of our model on different public datasets shows that it remarkably generalizes to correctly orient a large set of unconstrained images; it also significantly outperforms the state-of-the-art and achieves accuracy very close to that of humans

Limonene and BEZ 235 inhibits growth of COLO-320 and HCT-116 colon cancer cells

D-Limonene is a dietary monoterpene with significant anticancer activity against many cancer types in preclinical and clinical studies. The study is designed to investigate synergistic anticancer effects of limonene and BEZ235 combination in COLO-320 and HCT-116 colon cancer cells. Cells were treated with both the drugs alone and in combination and the effects on cell viability; cell migration and clonogenic potential were examined. Results show that both drugs exhibited dose and time dependant cytotoxicity on the cell lines tested. CompuSyn analysis of the drug combination effects revealed the strong synergistic interaction of the combination. Our results also indicate that COLO-320 cells were more sensitive for anticancer effects of the drugs than HCT-116 cells. The presence of Ras and PI3K mutations in HCT-116 cells could possibly be one of the main reasons for the observed outcome as compared to the wild type expressions of them in COLO-320 cells

Synthesis and Investigation of a Radioiodinated F3 Peptide Analog as a SPECT Tumor Imaging Radioligand

A radioiodinated derivative of the tumor-homing F3 peptide, (N-(2-{3-[125I]Iodobenzoyl}aminoethyl)maleimide-F3Cys peptide, [125I]IBMF3 was developed for investigation as a SPECT tumor imaging radioligand. For this purpose, we custom synthesized a modified F3 peptide analog (F3Cys) incorporating a C-terminal cysteine residue for site-specific attachment of a radioiodinated maleimide conjugating group. Initial proof-of-concept Fluorescence studies conducted with AlexaFluor 532 C5 maleimide-labeled F3Cys showed distinct membrane and nuclear localization of F3Cys in MDA-MB-435 cells. Additionally, F3Cys conjugated with NIR fluorochrome AlexaFluor 647 C2 maleimide demonstrated high tumor specific uptake in melanoma cancer MDA-MB-435 and lung cancer A549 xenografts in nude mice whereas a similarly labeled control peptide did not show any tumor uptake. These results were also confirmed by ex vivo tissue analysis. No-carrier-added [125I]IBMF3 was synthesized by a radioiododestannylation approach in 73% overall radiochemical yield. In vitro cell uptake studies conducted with [125I]IBMF3 displayed a 5-fold increase in its cell uptake at 4 h when compared to controls. SPECT imaging studies with [125I]IBMF3 in tumor bearing nude mice showed clear visualization of MDA-MB-435 xenografts on systemic administration. These studies demonstrate a potential utility of F3 peptide-based radioligands for tumor imaging with PET or SPECT techniques