Comparative Account on Proliferation Rate of Microalgae Used in Biodiesel Production by Indigenously Prepared Bioreactors

Algae as a feedstock is emerging at the forefront of biofuel research due to increasing awareness of global energy issues in conjunction with the production limitation of agriculture based oilseed crops. In this concern, India is lagging behind with respect to research emphasis. The long term Research and development strategies were implemented in the developing countries for biofuels from different sources. One of the most fascinating areas of researcher always remained with algae as a source of biofuel. All the above the more research than development will be required in this field. This paper focuses the comparative Proliferation rate of Chlorophycean algae in indigenously prepared bioreactors as well as drinking bottled models

Comparative Account on Proliferation Rate of Microalgae Used in Biodiesel Production by Indigenously Prepared Bioreactors

Algae as a feedstock is emerging at the forefront of biofuel research due to increasing awareness of global energy issues in conjunction with the production limitation of agriculture based oilseed crops. In this concern, India is lagging behind with respect to research emphasis. The long term Research and development strategies were implemented in the developing countries for biofuels from different sources. One of the most fascinating areas of researcher always remained with algae as a source of biofuel. All the above the more research than development will be required in this field. This paper focuses the comparative Proliferation rate of Chlorophycean algae in indigenously prepared bioreactors as well as drinking bottled models

Overview of GINIX and Top-k Method

In today’s life more applications are web based and peoples may communicate with each other by using Internet. It involves more and more data retrieval from database system as per user demand. Inverted Index is a system use for searching in which searching is takes place as per index sequentially. So it require more time for searching. While Ginix can search as per word in which all files or related document that word is search appropriately. But it only search documents file which are save in database system but not search multimedia files. Hence the more competent technique for searching is top-k method in which all database is scan for finding appropriate result for given data. Also data is search on web pages. It provides more perfect result within less time as compare to Ginix. DOI: 10.17762/ijritcc2321-8169.15011

Reversible linkage of two distinct small molecule inhibitors of myc generates a dimeric inhibitor with improved potency that is active in myc over-expressing cancer cell lines

We describe the successful application of a novel approach for generating dimeric Myc inhibitors by modifying and reversibly linking two previously described small molecules.We synthesized two directed libraries of monomers, each comprised of a ligand, a connector, and a bioorthogonal linker element, to identify the optimal dimer configuration required to inhibit Myc. We identified combinations of monomers, termed self-assembling dimeric inhibitors, which displayed synergistic inhibition of Myc-dependent cell growth. We confirmed that these dimeric inhibitors directly bind to Myc blocking its interaction with Max and affect transcription of MYC dependent genes. Control combinations that are unable to form a dimer do not show any synergistic effects in these assays. Collectively, these data validate our new approach to generate more potent and selective inhibitors of Myc by self-assembly from smaller, lower affinity components. This approach provides an opportunity for developing novel therapeutics against Myc and other challenging protein:protein interaction (PPI) target classes. © 2015 Wanner et al

Mesoscopic structure conditions the emergence of cooperation on social networks

We study the evolutionary Prisoner's Dilemma on two social networks obtained from actual relational data. We find very different cooperation levels on each of them that can not be easily understood in terms of global statistical properties of both networks. We claim that the result can be understood at the mesoscopic scale, by studying the community structure of the networks. We explain the dependence of the cooperation level on the temptation parameter in terms of the internal structure of the communities and their interconnections. We then test our results on community-structured, specifically designed artificial networks, finding perfect agreement with the observations in the real networks. Our results support the conclusion that studies of evolutionary games on model networks and their interpretation in terms of global properties may not be sufficient to study specific, real social systems. In addition, the community perspective may be helpful to interpret the origin and behavior of existing networks as well as to design structures that show resilient cooperative behavior.Comment: Largely improved version, includes an artificial network model that fully confirms the explanation of the results in terms of inter- and intra-community structur

Mutation-enrichment next-generation sequencing for quantitative detection of KRAS mutations in urine cell-free DNA from patients with advanced cancers

Purpose: Tumor-derived cell-free DNA (cfDNA) from urine of patients with cancer offers noninvasive biological material for detection of cancer-related molecular abnormalities such as mutations in Exon 2 of KRASExperimental Design: A quantitative, mutation-enrichment next-generation sequencing test for detecting KRASG12/G13 mutations in urine cfDNA was developed, and results were compared with clinical testing of archival tumor tissue and plasma cfDNA from patients with advanced cancer.Results: With 90 to 110 mL of urine, the KRASG12/G13 cfDNA test had an analytical sensitivity of 0.002% to 0.006% mutant copies in wild-type background. In 71 patients, the concordance between urine cfDNA and tumor was 73% (sensitivity, 63%; specificity, 96%) for all patients and 89% (sensitivity, 80%; specificity, 100%) for patients with urine samples of 90 to 110 mL. Patients had significantly fewer KRASG12/G13 copies in urine cfDNA during systemic therapy than at baseline or disease progression (P = 0.002). Compared with no changes or increases in urine cfDNA KRASG12/G13 copies during therapy, decreases in these measures were associated with longer median time to treatment failure (P = 0.03).Conclusions: A quantitative, mutation-enrichment next-generation sequencing test for detecting KRASG12/G13 mutations in urine cfDNA had good concordance with testing of archival tumor tissue. Changes in mutated urine cfDNA were associated with time to treatment failure

A TNF-JNK-Axl-ERK signaling axis mediates primary resistance to EGFR inhibition in glioblastoma.

Aberrant epidermal growth factor receptor (EGFR) signaling is widespread in cancer, making the EGFR an important target for therapy. EGFR gene amplification and mutation are common in glioblastoma (GBM), but EGFR inhibition has not been effective in treating this tumor. Here we propose that primary resistance to EGFR inhibition in glioma cells results from a rapid compensatory response to EGFR inhibition that mediates cell survival. We show that in glioma cells expressing either EGFR wild type or the mutant EGFRvIII, EGFR inhibition triggers a rapid adaptive response driven by increased tumor necrosis factor (TNF) secretion, which leads to activation in turn of c-Jun N-terminal kinase (JNK), the Axl receptor tyrosine kinase and extracellular signal-regulated kinases (ERK). Inhibition of this adaptive axis at multiple nodes rendered glioma cells with primary resistance sensitive to EGFR inhibition. Our findings provide a possible explanation for the failures of anti-EGFR therapy in GBM and suggest a new approach to the treatment of EGFR-expressing GBM using a combination of EGFR and TNF inhibition

Combining the contributions of behavioral economics and other social sciences in understanding taxation and tax reform

This paper extends previous work presented at the SABE/IAREP conference at St Mary’s University, Halifax (James, 2009). In the earlier paper it was shown that conventional economic theory is used to make the case for tax reform but does not always adequately incorporate all the relevant factors. However, an approach based on behavioral economics can make the difference between success and failure. In this paper the contributions of other social sciences are also included. Taxation is a particularly appropriate subject to explore the integration of the social sciences since they have all devoted considerable attention to it. It can be seen that different social sciences suggest a range of variables that might be taken into account in addition to those included in mainstream economics. Other social sciences also offer different methodological approaches and consider the possibility of different outcomes of the fiscal process. The paper concludes that it is not easy to integrate the social sciences in a single approach to the study of tax and tax policy. There may also be the risk of encouraging inappropriate integration - researchers operating outside their expertise can produce results that are not helpful. However, comparing the contribution of behavioral economics with those of the social sciences more generally, it can be seen that behavioral economics can offer a framework within which these areas can be examined. Indeed, it may be a useful channel to add the contributions of other social sciences to mainstream economic research