A Study on Customers’ Perception Towards Life Insurance Corporation Products with Reference to Chennai City

Purpose:  The objective of this study is to assess the level of customer perception towards Life Insurance Corporation in the city of Chennai. The study aims to identify the factors influencing customers' decision-making process in selecting life insurance products.   Theoretical Framework: Life insurance is a crucial aspect of financial planning, providing protection to individuals and their families against unforeseen events such as accidental death or disability. In the current scenario, there are numerous insurance companies offering life insurance products, with public limited companies being the preferred choice for investment due to their ability to safeguard both the amount invested and the policyholder's life. Insurance companies play a vital role in promoting the well-being of individuals by offering protection against life risks.   Design/Methodology/Approach: The data for this study was collected using a well-structured questionnaire and statistical techniques such as descriptive and percentage analyses were used to analyze the data.   Findings: The study showed that research finding brings practical value in improving customer perception in Chennai. The Article identifies the key elements to enhance the customer perception.   Research, Practical & Social implications: The study has fused the theory of service quality and customer perception. In addition, the study has systematized the relationship between the factors measuring the service quality of life insurance and customer satisfaction.           Originality/value: The paper's originality and value assist policy providers to regulate and weigh the measure they have been using and adjust into a set of observed variables measuring the customers’ perception of Life Insurance Corporation in Chennai. This study provides new roadmap to a future study on customer Perception towards life insurance Corporation, a document for other research in the life insurance field

Suppliers\u27 Quality Practices in Six Countries and Regions: China, Taiwan, India, Korea, Mexico, and Costa Rica

In this paper we report suppliers’ quality practices in six countries — China, Taiwan, India, Korea, Mexico and Costa Rica. The practices include suppliers’ education, technical assistances, involvement in product development and long-term relationships. India, China, Korea and Taiwan are four major countries in Asia that have shown substantial economic growth over the years. Mexico is a member of NAFTA. Cost Rica is a growing country in Central America. Differences in terms of quality results are explored as well. In general, supplier quality practices are related to the overall quality management practices. Supplier quality practices affect the internal and external quality results. However, the length of quality experience in the organizations turns out to be a discriminating factor for choosing particular supplier quality practices. The implication of these results confirms that supplier quality practices are important practices for both internal and external quality results

Reconstruction of incomplete X ray diffraction pole figures of oligocrystalline materials using deep learning

X ray diffraction crystallography allows non destructive examination of crystal structures. Furthermore, it has low requirements regarding surface preparation, especially compared to electron backscatter diffraction. However, up to now, X ray diffraction has been highly time consuming in standard laboratory conditions since intensities on multiple lattice planes have to be recorded by rotating and tilting. Furthermore, examining oligocrystalline materials is challenging due to the limited number of diffraction spots. Moreover, commonly used evaluation methods for crystallographic orientation analysis need multiple lattice planes for a reliable pole figure reconstruction. In this article, we propose a deep learning based method for oligocrystalline specimens, i.e., specimens with up to three grains of arbitrary crystal orientations. Our approach allows faster experimentation due to accurate reconstructions of pole figure regions, which we did not probe experimentally. In contrast to other methods, the pole figure is reconstructed based on only a single incomplete pole figure. To speed up the development of our proposed method and for usage in other machine learning algorithms, we introduce a GPU based simulation for data generation. Furthermore, we present a pole widths standardization technique using a custom deep learning architecture that makes algorithms more robust against influences from the experiment setup and materia

Comprehensive analysis of temporal alterations in cellular proteome of bacillus subtilis under curcumin treatment

Curcumin is a natural dietary compound with antimicrobial activity against various gram positive and negative bacteria. This study aims to investigate the proteome level alterations in Bacillus subtilis due to curcumin treatment and identification of its molecular/cellular targets to understand the mechanism of action. We have performed a comprehensive proteomic analysis of B. subtilis AH75 strain at different time intervals of curcumin treatment (20, 60 and 120 min after the drug exposure, three replicates) to compare the protein expression profiles using two complementary quantitative proteomic techniques, 2D-DIGE and iTRAQ. To the best of our knowledge, this is the first comprehensive longitudinal investigation describing the effect of curcumin treatment on B. subtilis proteome. The proteomics analysis revealed several interesting targets such UDP-N-acetylglucosamine 1-carboxyvinyltransferase 1, putative septation protein SpoVG and ATP-dependent Clp protease proteolytic subunit. Further, in silico pathway analysis using DAVID and KOBAS has revealed modulation of pathways related to the fatty acid metabolism and cell wall synthesis, which are crucial for cell viability. Our findings revealed that curcumin treatment lead to inhibition of the cell wall and fatty acid synthesis in addition to differential expression of many crucial proteins involved in modulation of bacterial metabolism. Findings obtained from proteomics analysis were further validated using 5-cyano-2,3-ditolyl tetrazolium chloride (CTC) assay for respiratory activity, resazurin assay for metabolic activity and membrane integrity assay by potassium and inorganic phosphate leakage measurement. The gene expression analysis of selected cell wall biosynthesis enzymes has strengthened the proteomics findings and indicated the major effect of curcumin on cell division