Working \u27Failure\u27 into your Learning Design

The world is grappling with education failing to meet industry demands for skills. We’re constantly striving to design for learning that is able to meet with the emerging societal and Industrial needs. Against this background what should the learning design strategy be? Of particular relevance is Productive Failure (PF) a deeper learning design strategy, which runs counter to a traditional Direct Instruction methodology and demonstrates the affordances of experiencing and learning from failure. This brief elaborates on PF, select use cases and applications as well as key design features in operationalising PF

Scada and its Application in Power Generation and Distribution System

The essential common sources like Coal, gas, Diesel, nuclear and so forth. Is single time useable due to which the quantity of these sources is decreasing day by day. The emission of these fuels is also responsible for air pollution. On the other hand, if we can use renewable sources like hydro power, solar power and wind power to generate electricity such that SCADA system can incorporate to have better monitoring and reliability of the system for proper distribution of load optimise. So we have developed a system in which consumers are connected to different types of power plants via a Grid. The network load and plants are checked and controlled by the SCADA framework. This provides the uninterrupted power supply to the distributors with more reliable solution

Watermarking Algorithm for Encrypting Fingerprint Image -A MatLab Implementation

In today’s world of electronic communication we use to send and receive data through internet. Apart from sending data to the correct recipient, the aspect of secure transmission also comes to picture i.e. data should remain unhampered. There are many techniques and algorithm coming in existence to provide secure transmission of data. Biometrics being one of the fast growing industries for identifying a person also needs to be secure. In this paper we are suggesting an algorithm to encrypt a fingerprint sample so that it can securely be transmitted over internet. DOI: 10.17762/ijritcc2321-8169.15033

COVID-19 IS DEADLY! LONG LIVE THE KING, CORPORATE CASH HOLDINGS!

Covid-19 has adversely affected the human race. With human race confined to their houses, the level of consumption has gone down and it has significant negative impact on the cash flows of the existing businesses. In this study, using different scenarios and stress level, we try to predict the impact on businesses cash flows and establish the role of corporate cash holdings in avoiding illiquidity of businesses

Social Cognition a Tool to Build a Peaceful and Democratic Society in South Asia: In Organizational Context

The South Asian region comprises of SAARC Nations Afghanistan Pakistan India Bangladesh Nepal Maldives and Srilanka The former two are predominant Muslim countries but the others have a population from different backgrounds All the nations so needs to build a mutual understanding among themselves to realize the basic values for a peaceful environment Peace building means having democracy and equality since it gives the fundamental rights to be practiced by the population The liberalism policies free trade and a view of economic development the industrial growth took place and therefore the organizations expanded themselves out of the territorial boundaries leading to a diversified work force The human capital is a real asset to the organizations and this is the reason they must be provided an environment without discriminations Trade Unions and government plays a crucial role in this This paper discusses about the functions of Trade Unions Governments and the HRM department in maintenance of peace in the organizations Besides this it also introduces Social Cognition a psychological concept which can help in bringing peace and prosperity among the individuals Peace is considered as a psychological feeling It comes gradually when the individuals are happy in their social life It is not a matter of compulsion It is essential to treat it at solitary level and then to the regional leve

A Review on Non Linear Dimensionality Reduction Techniques for Face Recognition

Principal component Analysis (PCA) has gained much attention among researchers to address the pboblem of high dimensional data sets.during last decade a non-linear variantof PCA has been used to reduce the dimensions on a non linear hyperplane.This paper reviews the various Non linear techniques ,applied on real and artificial data .It is observed that Non-Linear PCA outperform in the counterpart in most cases .However exceptions are noted

Common Variants at 10 Genomic Loci Influence Hemoglobin A(1C) Levels via Glycemic and Nonglycemic Pathways

OBJECTIVE Glycated hemoglobin (HbA1c), used to monitor and diagnose diabetes, is influenced by average glycemia over a 2- to 3-month period. Genetic factors affecting expression, turnover, and abnormal glycation of hemoglobin could also be associated with increased levels of HbA1c. We aimed to identify such genetic factors and investigate the extent to which they influence diabetes classification based on HbA1c levels. RESEARCH DESIGN AND METHODS We studied associations with HbA1c in up to 46,368 nondiabetic adults of European descent from 23 genome-wide association studies (GWAS) and 8 cohorts with de novo genotyped single nucleotide polymorphisms (SNPs). We combined studies using inverse-variance meta-analysis and tested mediation by glycemia using conditional analyses. We estimated the global effect of HbA1c loci using a multilocus risk score, and used net reclassification to estimate genetic effects on diabetes screening. RESULTS Ten loci reached genome-wide significant association with HbA1c, including six new loci near FN3K (lead SNP/P value, rs1046896/P = 1.6 × 10−26), HFE (rs1800562/P = 2.6 × 10−20), TMPRSS6 (rs855791/P = 2.7 × 10−14), ANK1 (rs4737009/P = 6.1 × 10−12), SPTA1 (rs2779116/P = 2.8 × 10−9) and ATP11A/TUBGCP3 (rs7998202/P = 5.2 × 10−9), and four known HbA1c loci: HK1 (rs16926246/P = 3.1 × 10−54), MTNR1B (rs1387153/P = 4.0 × 10−11), GCK (rs1799884/P = 1.5 × 10−20) and G6PC2/ABCB11 (rs552976/P = 8.2 × 10−18). We show that associations with HbA1c are partly a function of hyperglycemia associated with 3 of the 10 loci (GCK, G6PC2 and MTNR1B). The seven nonglycemic loci accounted for a 0.19 (% HbA1c) difference between the extreme 10% tails of the risk score, and would reclassify ∼2% of a general white population screened for diabetes with HbA1c. CONCLUSIONS GWAS identified 10 genetic loci reproducibly associated with HbA1c. Six are novel and seven map to loci where rarer variants cause hereditary anemias and iron storage disorders. Common variants at these loci likely influence HbA1c levels via erythrocyte biology, and confer a small but detectable reclassification of diabetes diagnosis by HbA1c

A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease

Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association studies (GWAS) analysis of common SNPs. Leveraging phased haplotypes from the 1000 Genomes Project, we report a GWAS meta-analysis of 185 thousand CAD cases and controls, interrogating 6.7 million common (MAF>0.05) as well as 2.7 million low frequency (0.005<MAF<0.05) variants. In addition to confirmation of most known CAD loci, we identified 10 novel loci, eight additive and two recessive, that contain candidate genes that newly implicate biological processes in vessel walls. We observed intra-locus allelic heterogeneity but little evidence of low frequency variants with larger effects and no evidence of synthetic association. Our analysis provides a comprehensive survey of the fine genetic architecture of CAD showing that genetic susceptibility to this common disease is largely determined by common SNPs of small effect siz

Advances in small lasers

M.T.H was supported by an Australian Research council Future Fellowship research grant for this work. M.C.G. is grateful to the Scottish Funding Council (via SUPA) for financial support.Small lasers have dimensions or modes sizes close to or smaller than the wavelength of emitted light. In recent years there has been significant progress towards reducing the size and improving the characteristics of these devices. This work has been led primarily by the innovative use of new materials and cavity designs. This Review summarizes some of the latest developments, particularly in metallic and plasmonic lasers, improvements in small dielectric lasers, and the emerging area of small bio-compatible or bio-derived lasers. We examine the different approaches employed to reduce size and how they result in significant differences in the final device, particularly between metal- and dielectric-cavity lasers. We also present potential applications for the various forms of small lasers, and indicate where further developments are required.PostprintPeer reviewe