Controlled Growth, Patterning and Placement of Carbon Nanotube Thin Films

Controlled growth, patterning and placement of carbon nanotube (CNT) thin films for electronic applications are demonstrated. The density of CNT films is controlled by optimizing the feed gas composition as well as the concentration of growth catalyst in a chemical vapor deposition process. Densities of CNTs ranging from 0.02 CNTs/{\mu}m^2 to 1.29 CNTs/{\mu}m^2 are obtained. The resulting pristine CNT thin films are then successfully patterned using either pre-growth or post-growth techniques. By developing a layered photoresist process that is compatible with ferric nitrate catalyst, significant improvements over popular pre-growth patterning methods are obtained. Limitations of traditional post-growth patterning methods are circumvented by selective transfer printing of CNTs with either thermoplastic or metallic stamps. Resulting as-grown patterns of CNT thin films have edge roughness (< 1 {\mu}m) and resolution (< 5 {\mu}m) comparable to standard photolithography. Bottom gate CNT thin film devices are fabricated with field-effect mobilities up to 20 cm^2/Vs and on/off ratios of the order of 10^3. The patterning and transfer printing methods discussed here have a potential to be generalized to include other nanomaterials in new device configurations

ANN Based Virtual Classification Model for Discriminating Active and Inactive Withanolide E Analogs against Human Breast Cancer Cell Line MCF-7

Withanolides are a group of natural C-28 steroids built on an ergostane skeleton and classified into two major groups according to their structural skeleton: (a) compounds with a beta-oriented side chain and (b) compounds with an alpha-oriented side chain. Withanolide E represents one of the members of the latter group. Classification of active compounds on the basis of pharmacophore against specific cancer cell line poses a serious concern at the primary stage of virtual screening. To overcome this problem we have developed an artificial neural network based virtual screening model for discriminating active and non-active Withanolide-E-like derivatives or analogs against human breast cancer cell line MCF-7. In the present work, a 2D chemical descriptors ensemble pharmacophore has been modelled on the basis of withanolide E structural featured molecules. The ANN structure activity based classification model could be useful for identification of active withanolide analogs as anticancer leads against MCF-7. This model can be used for predicting possible growth inhibitory concentration (logGI50) against breast cancer cell line MCF-7. The virtual screening tool &#x201c;CanWithaANN&#x201d; can be accessed at local network of CIMAP

Recovering complete and draft population genomes from metagenome datasets.

Assembly of metagenomic sequence data into microbial genomes is of fundamental value to improving our understanding of microbial ecology and metabolism by elucidating the functional potential of hard-to-culture microorganisms. Here, we provide a synthesis of available methods to bin metagenomic contigs into species-level groups and highlight how genetic diversity, sequencing depth, and coverage influence binning success. Despite the computational cost on application to deeply sequenced complex metagenomes (e.g., soil), covarying patterns of contig coverage across multiple datasets significantly improves the binning process. We also discuss and compare current genome validation methods and reveal how these methods tackle the problem of chimeric genome bins i.e., sequences from multiple species. Finally, we explore how population genome assembly can be used to uncover biogeographic trends and to characterize the effect of in situ functional constraints on the genome-wide evolution

QSAR studies on Withanolide analogs for anticancer activity

Withanolides are a group of pharmacologically active compounds present in most prodigal amounts in roots and leaves of Withania somnifera (Indian ginseng), one of the most important medicinal plants of Indian systems of medicine. Withanolides are basically steroidal lactones (highly oxygenated C-28 phytochemicals) and similar to ginsenosides activity. Some of the withanolides that have been reported possess immunomodulatory, and anticancer activities. In the present investigation, a quantitative structure activity relationship (QSAR) model based on forward stepwise multiple linear regression (MLR) has been developed against the MCF7, MCF7/BUS, and SK-Br-3 human solid tumor breast cancer cell lines. Relationship correlation coefficient (r2) and cross validation correlation coefficient (r2CV) of QSAR model were 0.77 and 0.73 for MCF7, 0.91 and 0.85 for MCF7/BUS, 0.93 and 0.90 for SK-Br-3 respectively. Developed QSAR model was also evaluated for prediction accuracy through internal, external and randomization validation methods. The QSAR study indicates that chemical descriptors viz., atom count (all atoms), connectivity index (order 2, standard), for MCF7, Connectivity Index (order 0, standard), Dipole Vector X (debye), Molar Refractivity, Shape Index (basic kappa, order 2) for SK-Br-3 and Atom Count (all atoms), Dielectric Energy (kcal/mole), Total Energy (Hartree), Heat of Formation (kcal/mole) for MCF7/BUS are correlate well with the breast cancer activity, Moreover, on the basis of screening for oral bioavailability, in silico ADME and toxicity risk assessment, we concluded that compounds W3, W4, W8 have markedly higher anticancer activity compared to control. These results can offer useful references for directing the molecular design of lead compound(s) based on withanolide or analogous template with improved activity

Addressing Security issues for Enterprises Migrating to HYBRID Cloud Computing Model

Although on premises deployment has been a reliable platform to deploy in house applications & production software’s like email, ERP, Web servers, database for long, but managing the datacenter, applications, & specially the upgrade path for the newer version of software was always a challenge for the enterprises. Today, considering the rapid growing market of cloud computing, many organizations are keen to adopt the cloud platform. Cloud computing technology drawn the attention of IT world and is now days changing the focus of enterprises too. DOI: 10.17762/ijritcc2321-8169.15062

21st-century competencies in engineering education: initiation, evolution, current, and now whither to

The fibre of engineering education has evolved from knowledge to competencies. This is a logical consequence of the technologically advanced and multifaceted learning environment where engineers are expected to be technically acute along with a set of essential non-technical competencies. This change is referred to as a ‘paradigm shift’ in engineering education. Hence, the vision of learning is to immerse a progressive, learner-centric, and competency-based learning environment to face the uncertainties of the 21st century. There are various ways to improve the performance of learners by implementing the available competency frameworks, but the need is to initiate a set of essential competencies according to their nature and purpose that can endure across disciplines. In this paper, the evolution of competencies from the essential to the necessary is reviewed. Finally, the benefits of these competencies in relation to the performance of the engineers are discussed in detail through semi-structured interviews conducted with the engineers. MAXQDA, a qualitative data analysis tool, is used to analyse the data. The findings will help the engineers in grooming their competencies according to the industries

Key Issues in Expansion of End-User Mobile Communication in China

China’s mobile communications market presents unique market challenges. With a high subscriber growth rate but polarized and stratified consumer adoption trends, an investigation into the current status of this market will improve our understanding on how adoption of mobile communications is evolving. In this descriptive paper we analyze key issues relating to market characteristics of mobile communications with an objective to better comprehend the dynamics of this largest mobile subscribers market. Using secondary data we identify mobile industry and end-user related trends to infer our conclusions for the industry.China;mobile communication;mobile subscribers market