Jaypee Institute of Information Technology

About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.

Stable and luminescent wurtzite CdS, ZnS and CdS/ZnS core/shell quantum dots

Abstract: This article presents first report on the highly stable and luminescent wurtzite CdS, ZnS and CdS/ZnS quantum dots (QDs) where the role of precursor selection at room temperature is the key X-ray diffraction (XRD), optical absorbance spectroscopy, photoluminescence spectroscopy, Fourier transform infrared spectroscopy and transmission electron microscopy have been employed in order to characterize these QDs XRD indicates the formation of wurtzite CdS, ZnS and CdS/ZnS system Broadening in XRD peaks revealed the reduction in particle size such as 42, 52 and 58 nm for CdS, ZnS and CdS/ZnS, respectively, compared to their bulk counterparts Blue shift in absorbance has been observed in each case as particles size decreases The photoluminescence intensity emission of CdS/ZnS core/shell was strongly superior from that observed in individual CdS and ZnS nanoparticles We also propose that the core and shell interface leads to favourable conditions that instigate photoluminescence emission in CdS/ZnS core/shell system One notable result of this work obtained from the photoluminescence analysis is the significant reduction in full width at half maxima, in emission peak of core/shell structure which shows the enhanced monochromaticity We have found that OH, CH2 and C–O functional groups are present on the QDs surface and that is why these QDs can be easily attachable to biomolecules TEM analysis has been employed for confirmation of particle size and found to be 53, 58 and 62 nm for CdS, ZnS and CdS/ZnS structures, respectively

Machine Learning or Information Retrieval Techniques for Bug Triaging: Which is better?

Abstract: Bugs are the inevitable part of a software system. Nowadays, large software development projects even release beta versions of their products to gather bug reports from users. The collected bug reports are then worked upon by various developers in order to resolve the defects and make the final software product more reliable. The high frequency of incoming bugs makes the bug handling a difficult and time consuming task. Bug assignment is an integral part of bug triaging that aims at the process of assigning a suitable developer for the reported bug who corrects the source code in order to resolve the bug. There are various semi and fully automated techniques to ease the task of bug assignment. This paper presents the current state of the art of various techniques used for bug report assignment. Through exhaustive research, the authors have observed that machine learning and information retrieval based bug assignment approaches are most popular in literature. A deeper investigation has shown that the trend of techniques is taking a shift from machine learning based approaches towards information retrieval based approaches. Therefore, the focus of this work is to find the reason behind the observed drift and thus a comparative analysis is conducted on the bug reports of the Mozilla, Eclipse, Gnome and Open Office projects in the Bugzilla repository. The results of the study show that the information retrieval based technique yields better efficiency in recommending the developers for bug reports.

Microbial diversity of a Himalayan forest and characterization of rare actinomycetes for antimicrobial compounds.

Abstract: The slow pace of discovery of new effective drugs against multi-drug resistant pathogens and largely unsuccessful combinatorial chemistry has resulted in shifting the focus back to natural products as sources of lead molecules for antimicrobial drugs, mainly due to their structural diversity. Investigation of under-explored habitats for potentially novel microorganisms provides for wider chemodiversity. In this study, four actinomycetes, namely UK-274, UK-281, UK-282 and UK-285, which showed broad-spectrum antibacterial and antifungal activities, were isolated from Timli forest range of the biodiversity-rich Himalayan region. 16S rRNA gene sequence analysis showed that the nearest neighbours of the isolates were Actinomadura nitrigenes, Streptomyces niveiscabiei, and Kitasatospora psammotica with similarity values ranging between 97 and 98% suggesting their potential as new isolates. Further morphological and phenotypic characterization strengthened this assumption. Isolate UK-282, of the rare actinomycetes Kitasatospora group, was found to produce antimicrobial activity. Metabolite fingerprinting of ethyl acetate fraction of isolate UK-282 by GC–MS and 1H NMR analysis showed the presence of three novel compounds. The study underlines that a combination approach of bioprospecting of under-studied habitats and focus on rare actinomycetes may result in the identification of novel chemodiversity.

Effect of co-substitution of La/Li on structure, microstructure, dielectric and piezoelectric behavior of Bi 0.50 Na 0.50 TiO 3 ceramics

Abstract: Polycrystalline specimens with compositions x = 0.04 and y ≤ 0.10 in (Bi1−xLax)0.5(Na1−yLiy)0.5TiO3 system are synthesized by semi-wet technique. Structure, microstructure, dielectric and piezoelectric properties are investigated in order to observe the effect of co-substitution of La/Li ions on A-sites of BNT ceramic system. Rietveld analysis of X-ray diffraction data for all the specimens reveals single phase formation with rhombohedral structure. Microstructures of these specimens indicate a decrease in grain size with homogeneous grain growth up to y ≤ 0.075 followed by anomalous grain growth for y = 0.100. The temperature dependence of dielectric plots exhibits a broad maximum whose position (T m ) is frequency dependent up to y ≤ 0.075. A switching from frequency dependent to frequency independent dielectric behaviour is observed with increasing Li concentration. All the samples show nearly saturated P–E loop at room temperature. The composition x/y = 0.04/0.025 exhibits improved ferroelectric with P r = 29.26 µC/cm2 and piezoelectric constant of d 33 = 70 pC/N.