A Summary on CSR: When social issues become strategic

This articles deals with the challenges faced by the corporate in todayrsquos world in attending to socio political issues surrounding them and inculcating that in the companyrsquos core strategic mission

Moduli Stacks of Vector Bundles and Frobenius Morphisms

We describe the action of the different Frobenius morphisms on the cohomology ring of the moduli stack of algebraic vector bundles of fixed rank and determinant on an algebraic curve over a finite field in characteristic p and analyse special situations like vector bundles on the projective line and relations with infinite Grassmannians.Comment: 19 page

Early formation of carbon monoxide in the Centaurus A supernova SN 2016adj

We present near-infrared spectroscopy of the NGC 5128 supernova SN 2016adj in the first 2 months following discovery. We report the detection of first overtone carbon monoxide emission at ∼58.2 d after discovery, one of the earliest detections of CO in an erupting supernova. We model the CO emission to derive the CO mass, temperature and velocity, assuming both pure 12CO and a composition that includes 13CO; the case for the latter is the isotopic analyses of meteoritic grains, which suggest that core collapse supernovae can synthesise significant amounts of 13C. Our models show that, while the CO data are adequately explained by pure 12CO, they do not preclude the presence of 13CO, to a limit of 12C/13C>3, the first constraint on the 12C/13C ratio determined from near-infrared observations. We estimate the reddening to the object, and the effective temperature from the energy distribution at outburst. We discuss whether the ejecta of SN 2016adj may be carbon-rich, what the infrared data tell us about the classification of this supernova, and what implications the early formation of CO in supernovae may have for CO formation in supernovae in general

Volumetric laser endomicroscopy and its application to Barrett's esophagus: results from a 1,000 patient registry.

Volumetric laser endomicroscopy (VLE) uses optical coherence tomography (OCT) for real-time, microscopic cross-sectional imaging. A US-based multi-center registry was constructed to prospectively collect data on patients undergoing upper endoscopy during which a VLE scan was performed. The objective of this registry was to determine usage patterns of VLE in clinical practice and to estimate quantitative and qualitative performance metrics as they are applied to Barrett's esophagus (BE) management. All procedures utilized the NvisionVLE Imaging System (NinePoint Medical, Bedford, MA) which was used by investigators to identify the tissue types present, along with focal areas of concern. Following the VLE procedure, investigators were asked to answer six key questions regarding how VLE impacted each case. Statistical analyses including neoplasia diagnostic yield improvement using VLE was performed. One thousand patients were enrolled across 18 US trial sites from August 2014 through April 2016. In patients with previously diagnosed or suspected BE (894/1000), investigators used VLE and identified areas of concern not seen on white light endoscopy (WLE) in 59% of the procedures. VLE imaging also guided tissue acquisition and treatment in 71% and 54% of procedures, respectively. VLE as an adjunct modality improved the neoplasia diagnostic yield by 55% beyond the standard of care practice. In patients with no prior history of therapy, and without visual findings from other technologies, VLE-guided tissue acquisition increased neoplasia detection over random biopsies by 700%. Registry investigators reported that VLE improved the BE management process when used as an adjunct tissue acquisition and treatment guidance tool. The ability of VLE to image large segments of the esophagus with microscopic cross-sectional detail may provide additional benefits including higher yield biopsies and more efficient tissue acquisition. Clinicaltrials.gov NCT02215291

Efficient Energy Management System with Storage

This paper deals with energy management strategy for AC/DC grid connected network using artificial intelligent techniques. Proposed energy management system aims at maximum utilization of energy sources considering load demand, availability of AC mains, and state of charge of battery. A Spartan 6 FPGA controller is utilized for battery scheduling process which schedules the rate of charge and discharge of battery. It also limits the battery from over charging and deep discharge and thus increasing lifespan of battery. A innovative Variable Frequency SPWM technique utilized to increase efficiency of system. It guarantees power to critical load when AC mains fail. The EMS system accomplishes peak power control by supplying battery power to local load along with AC mains when electricity cost is more. The proposed model simulated using matlab/simulink environment and result found to be better than literature modules

An Exploration on Evolution in the Teaching and Learning System

When the whole world is going through a pandemic, a global shift in the teaching-learning system has become a necessary measure. The physical classroom lectures are replaced by the virtual classroom lectures with the help of technology and resources. But was this shift really required? How will this change affect the lives of the students and the teachers? Is it beneficial for the learners or one should resist the technological changes? Researchers and analysts opines this global pandemic as an opportunity for the students to learn new and extra skills which would give their careers a thrust start, yet some analysts believe that this new and advanced pedagogy is robbing the students off of their moral and ethical conduct. Online education is both a boon and a bane, where it is proved to be advantageous it also carries along with it its own disadvantages. For students suffering from poverty, it is a great opportunity as it cuts the costs and time of travel and the fees for the courses. It is comparatively less as compared to the offline courses but while it is beneficial for these students we must also consider the fact that some of these learners might be the first-generation learners and might not have the same resources or opportunities or knowledge as others. If efficiently used online education can prove to be very beneficial, a student has to be determined, motivated and dedicated when it comes to attending classes which are not supervised. This paper intends to explore the role of ICT’s in the teaching-learning system and its impact on the skills, patience, determination level and working ability in an individual

A review on Data Mining for Indian Online Retail Industry

Data mining, the technique of extracting hidden information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The Indian retail industry has emerged as one of the most dynamic and fast-paced industries due to the entry of several new players in the Indian Retail Sector. It increases the need of different knowledge extraction tools which can extract usable information form large data sets. In this paper we have discussed the Overview of an Indian retail sector, the previous study related to the retailing industry. Also the study presents the gaps identified in the previous work

Kinetic modelling of competition and depletion of shared miRNAs by competing endogenous RNAs

Non-conding RNAs play a key role in the post-transcriptional regulation of mRNA translation and turnover in eukaryotes. miRNAs, in particular, interact with their target RNAs through protein-mediated, sequence-specific binding, giving rise to extended and highly heterogeneous miRNA-RNA interaction networks. Within such networks, competition to bind miRNAs can generate an effective positive coupling between their targets. Competing endogenous RNAs (ceRNAs) can in turn regulate each other through miRNA-mediated crosstalk. Albeit potentially weak, ceRNA interactions can occur both dynamically, affecting e.g. the regulatory clock, and at stationarity, in which case ceRNA networks as a whole can be implicated in the composition of the cell's proteome. Many features of ceRNA interactions, including the conditions under which they become significant, can be unraveled by mathematical and in silico models. We review the understanding of the ceRNA effect obtained within such frameworks, focusing on the methods employed to quantify it, its role in the processing of gene expression noise, and how network topology can determine its reach.Comment: review article, 29 pages, 7 figure

Test Case Prioritization Based on Specific Events

Event-Driven Software (EDS) system changes its state according to arrival of events for example graphical user interface and web framework. So due to there are number of events generated by users waiting in queue, this system is raise issue for testing. Until now, there are more efforts taken for testing this issue but these efforts are not collective. In this project work, our try is to give collective solution for graphical user interface and Web frameworks combined. We designed model to test graphical user interface and web application combined by using test cases prioritization. Main objective is here to deploy this model to prioritize test cases based on events. Our proposed work shows that graphical user interface and Web-based frameworks, gives same behavior even after prioritization. To test stand-alone GUI and Web-based frameworks based on shared prioritization function, and prioritization criteria’s. This generic approach is enough to study develop and test a unified theory for all kinds of Event Driven Software systems. This paper articulates all the details regarding our proposed system through following sections

Individual Investors – Are they Emotionally Biased?

The stock market is a crucial aspect of not just India’s financial market but of the world’s economy as a whole, as it results into massive investments performances. In the fast-moving financial scenario, the traditional finance is unable to explain the irrationality of an individual investor, as they are irrational and influenced by irregularities in financial market. Behavioural finance has earned a lot of significance through its attempts to discover such causes which are behind an investor’s behaviour. The objective of this research paper is to investigate the key impact of behavioural biases in the investment decision making of individual investors. The study consisted of 378 individual investors trading in Indian stock exchanges and data was collected through a questionnaire developed for the purpose of research. The questionnaire was empirically tested after approving its reliability and validity. It is interesting to know the impact of different emotional biases affecting the investment decisions of individual investors. Loss aversion bias, Status quo bias and Optimism bias were studied