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"Narayanan K"
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Bacterial exo-polysaccharides in biofilms: role in antimicrobial resistance and treatments
Bacterial biofilms are aggregation or collection of different bacterial cells which are covered by self-produced extracellular matrix and are attached to a substratum. Generally, under stress or in unfavorable conditions, free planktonic bacteria transform themselves into bacterial biofilms and become sessile. Involvement of quorum sensing and efflux pumps in antibiotic resistance in association with exopolysaccharides. Also, strategies to overcome or attack biofilms are provided.
Journal Article
Globalization of Indian industries : productivity, exports and investment
\"This book focuses on Indian manufacturing industries and analyses the impact of inward foreign direct investment on the domestic sector on the one hand, and exports and outward foreign direct investment by Indian companies on the other. Although the emphasis is mostly general, specific industries, such as the automotive industry or the wind energy sector are also explored. The differences between low and high technology industries are also addressed. In terms of theoretical setting and analysis, the book draws both from international business and industrial organization literature. The various characteristics of Indian industries, such as the determinants and impacts of R&D, the effects of spillovers, the drivers of productivity and technical efficiency are thoroughly researched employing appropriate quantitative methodologies that are relevant to the specific domain and topic under investigation.\" -- Back cover.
Book
A Recap of Voltage Stability Indices in the Past Three Decades
Increasing demand for electricity and the modernization of power systems within competitive markets has induced power systems to operate close to their stability limits. Therefore, the continuous monitoring and control of power systems through voltage stability indices is urgently needed. This is the first-ever effort to examine more than 40 voltage stability indices based on their formulation, application, performance, and assessment measures. These indices are sorted based on a logical and chronological order considering the most recent indices to be applied worldwide. However, the generalizability of these indices in terms of multivariable objectives is limited. Despite its limitation, this study systematically reviews available indices in the literature within the past three decades to compile an integrated knowledge base with an up-to-date exposition. This is followed by a comparative analysis in terms of their similarity, functionality, applicability, formulation, merit, demerit, and overall performance. Also, a broad categorization of voltage stability indices is addressed. This study serves as an exhaustive roadmap of the issue and can be counted as a reference for planning and operation in the context of voltage stability for students, researchers, scholars, and practitioners.
Journal Article
A Comparative Study of Techniques for Differential Expression Analysis on RNA-Seq Data
Recent advances in next-generation sequencing technology allow high-throughput cDNA sequencing (RNA-Seq) to be widely applied in transcriptomic studies, in particular for detecting differentially expressed genes between groups. Many software packages have been developed for the identification of differentially expressed genes (DEGs) between treatment groups based on RNA-Seq data. However, there is a lack of consensus on how to approach an optimal study design and choice of suitable software for the analysis. In this comparative study we evaluate the performance of three of the most frequently used software tools: Cufflinks-Cuffdiff2, DESeq and edgeR. A number of important parameters of RNA-Seq technology were taken into consideration, including the number of replicates, sequencing depth, and balanced vs. unbalanced sequencing depth within and between groups. We benchmarked results relative to sets of DEGs identified through either quantitative RT-PCR or microarray. We observed that edgeR performs slightly better than DESeq and Cuffdiff2 in terms of the ability to uncover true positives. Overall, DESeq or taking the intersection of DEGs from two or more tools is recommended if the number of false positives is a major concern in the study. In other circumstances, edgeR is slightly preferable for differential expression analysis at the expense of potentially introducing more false positives.
Journal Article
Strategic schemas, strategic flexibility, and firm performance: the moderating role of industry clockspeed
We examine the moderating effect of industry clockspeed on the relationship between strategic schemas, strategic flexibility and firm performance. We employ two key properties of strategic schemas: complexity and focus. Using a sample of 225 firms from 14 industries, we show that the pattern of relationships among the theoretical constructs is different in fast- and slow-clockspeed industries. The results suggest that complexity of strategic schemas promotes strategic flexibility and success in fast clockspeed industries, whereas focus of strategic schemas fosters strategic persistence, which is effective in slow-clockspeed industries.
Journal Article
Metagenomic applications in microbial diversity, bioremediation, pollution monitoring, enzyme and drug discovery. A review
Metagenomics is a technology employed to study genetic material directly isolated from environmental samples. Metagenomics thus reveals knowledge on microbial communities of uncultivable organisms in environmental niches, using screening technologies based on sequence and function. Applications include the identification of novel bacteria or gene clusters encoding for enzymes that degrade pollutants. Metagenomics also help to diagnose and monitor pathogens. Here, we review application of metagenomics for bioremediation, pollution monitoring, enzyme, and drug discovery.
Journal Article