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Priyadharshini, M.
- Impact of Quality of Work Life on the Performance of the Employees in it Organisations
Abstract Views :511 |
PDF Views:1106
Authors
Affiliations
1 BSMED, Bharathiar University, Coimbatore-641046, IN
1 BSMED, Bharathiar University, Coimbatore-641046, IN
Source
Indian Journal of Economics and Development, Vol 1, No 3 (2013), Pagination: 82-85Abstract
The Quality of Work Life of an organization can be assessed by opinions of employees on statements regarding quality of work life [QWL] aspects. The aim of this study was to analyze the QWL among employees of different IT companies in Coimbatore region. The sample consists of 132 IT companies employees in Coimbatore. The data collected from the QWL were analyzed through descriptive statistics&correlation and ANOVA. The instrument used for analyzing the QWL is a predetermined structured questionnaire .Keywords
Quality of Work Life, Organizational EnvironmentFull Text
References
- Straw, R.J. and C.C. Heckscher, 1984. QWL: New working relationships in the communication industry. Labor Studies J., 9: 261-74.
- Feuer, D., 1989. Quality of work life: a cure for all ills? Training: The Magazine of Human Resources Development, 26: 65-66. 3.
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- Gallie, Duncan, (2003), ‘The Quality of working life: Is Scandinavia Different?’, Oxford Journal, 19, pp. 61–79.
- Greenhaus, J., & Powell, G. (2006). When work and family are allies: A theory of work-family enrichment. Academy of Management Review, 31(1), 72–92.
- H. A. Saad, A. J. A. Samah, and N. Juhdi, “Employees’ perception on quality work life and job satisfaction in a private higher learning institution”, International Review of Business Research Papers, 4(3): 23-34, 2008.
- J.Richard, Hackman and Llioy Suttle, Improving Life at Work: Behavioral Science Approach to Organizational Change, Santa, Monika Calif. Goodyear, 1997, Quoted in Ibid.
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- Knox S, Irving JA (1997). Interactive quality of work life model applied to organization. Jona, 271:39-47.
- M. Furlong, and J. Connor, “Quality of life and stress in wheel chair users”, In: Handbook of Disease Burdens and Quality of Life Measures. New York: Springer Science, 2009.
- P. Subba, and B. A. Rao, “Quality of work life in commercial banks”, New Delhi: Discovery Publishing House, Pvt Ltd., 1998.
- R. E. Walton, “Criteria for Quality of Working Life”, In: The Quality of Working Life. Ed. LE Davis, AB Cherns, New York: The Free Press, pp. 91-104. 1975.
- X. Yang, C. Ge, B. Hu, T. Chi, and L. Wang, “Relationship between quality of life and occupational stress among teachers”, Public Health, 123(11): 750–755, 200 9.
- Vulnerability Management in Web Applications
Abstract Views :226 |
PDF Views:2
Authors
Affiliations
1 Department of CSE, SMVEC, Puducherry, IN
1 Department of CSE, SMVEC, Puducherry, IN
Source
Data Mining and Knowledge Engineering, Vol 5, No 4 (2013), Pagination: 162-167Abstract
Web applications consist of several different and interacting technologies. These interactions between different technologies can cause vast security problems. As organizations are taking their businesses online they make their systems accessible to the world. They might have a firewall in place and possibly even their web server is running an up-to-date version of its software but that is not enough to protect their resources. Web applications become integral part in our day today life. Recent studies proves that more than fifty percent of the cost of software development is expend towards for testing, even though the software web applications is not free from its critical issues. Vulnerabilities provides more critical outcome in web applications instead in various researches have been involved with major impact of vulnerabilities. Recently the web applications are tested with minimal parameters. The main objective of proposed work is to reduce the time consumption and high cost for software testing. And in this paper we also tell about other possible vulnerabilities and their control measures. Using static analysis the critical vulnerabilities are analyzed where the issues are arising in web applications. The critical vulnerabilities such as handling catch block, encrypted password, execution failure in exception handling and redirecting the values of parameter. Depends on the severity of the issues the vulnerabilities are classified with the solutions.Keywords
Cross-Site Scripting (XSS), Empty Catch Block, Open Redirect SQL Injection, Storing Passwords in a Recoverable Format, Uncaught Exception.
- Emerging Trends in Mobile Health Care System with Different Algorithms
Abstract Views :173 |
PDF Views:2
Authors
Affiliations
1 Department of CSE, SMVEC, Puducherry, IN
1 Department of CSE, SMVEC, Puducherry, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 5, No 7 (2013), Pagination: 349-355Abstract
Mobile technologies are increasingly growing in developing countries like India Mobile healthcare provision in the home environment presents many challenges. Mobile Healthcare is a term used for the practice of medicine and public health supported by mobile devices. It is most commonly used in the reference to using mobile communication devices such as mobile phones, tablet & computer PDAs. Nowadays, mobile has become a prominent tool, not only in urban regions but also in remote and rural areas. Mobile healthcare, in the home environment presents many new challenges. A wireless sensor network with a large number of sensor nodes can be used as an effective tool for gathering data in mobile healthcare situations. The work includes a detailed study of mobile healthcare system in various aspects. Various algorithms and techniques, for effective healthcare are addressed in this paper. After analyzing, the survey is concluded with several promising directions for further research in mobile healthcare system.Keywords
Bilinear Pairing Techniques, Mobile Health Care System, Wireless Sensor Network, Collaborative Algorithm, Recommendation Algorithm.- Pathobiological Characteristics of Intestinal and Diffuse-Type of Gastric Carcinoma-Retrospective Study of Gastric Cancers
Abstract Views :235 |
PDF Views:127
Authors
M. Priyadharshini
1,
R. Narmadha
1,
S. Dhanalakshmi
1,
Rajesh Natarajan
1,
S. Subitha
1,
C. Suganthi
1,
Padmavathy
1
Affiliations
1 Institute of Pathology, Madras Medical College, Tamil Nadu, IN
1 Institute of Pathology, Madras Medical College, Tamil Nadu, IN
Source
International Journal of Medical and Dental Sciences, Vol 6, No 2 (2017), Pagination: 1462-1467Abstract
Background: Gastric carcinomas have various pathological features. Based on patterns of growth and invasiveness, however, they fall into two types: diffuse type and intestinal type. These two types of carcinoma appear to be different in their histogenetic origins.
Objectives: To analyse various types of gastric cancer reported in last five years. To compare the features of intestinal and diffuse type gastric carcinoma including gross appearance, staging, grading of tumor.
Materials and Methods: This was a retrospective study of 324 gastric cancer which were surgically resected and received over 5 years. The tumors were divided into groups according to their gross and microscopic patterns. Gross appearance was classified based on Borrmann classification. Microscopic features evaluated include tumor cell type, extent of invasion, degree of maturation, formation of glandular structures, nodal metastasis.
Results: Totally 320 cases of gastric cancer were received of which 218(68%) were male, 102(32%) were female. Gastric cancers are rare below the age of 30 years. Comparing the type of gastric cancer intestinal type were 269(84%), diffuse type were 24(7.5%) and other type of gastric cancer including GIST, lymphoma, mucinous adenocarcinoma were 27(8.5%). Younger patients have higher stage of lymph node metastasis in diffuse type, but not for the intestinal type.
Conclusion: Gastric cancer more common in male (M:F= 2:1) and most frequently seen in 5th decade. Intestinal type constitutes the most common type of gastric tumor. Gross appearance of diffuse type was predominantly infiltrative (79%).
Keywords
Gastric Cancer, Diffuse Type, Intestinal Type, Gross Appearance, Grading, Nodal Metastasis.Full Text
References
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- Washington K. of the AJCC cancer staging manual: stomach. Annals of surgical oncology 2010;17(12):3077-9.
- Rohatgi PR, Mansfield PF, Crane CH, Wu TT, Sunder PK, Ross WA, et al. Surgical pathology stage by American Joint Commission on Cancer criteria predicts patient survival after preoperative chemoradiation for localized gastric carcinoma. Cancer 2006;107(7):1475-82.
- Ming SC. Gastric carcinoma: a pathobiological classification. Cancer 1977;39(6):2475-85.
- Graziosi L, Marino E, Cavazzoni E, Donini A. Prognostic value of the seventh AJCC/UICC TNM classification of non-cardia gastric cancer. World journal of surgical oncology 2013;11(1):103.
- Prevalence of Myopia among College going Adolescent Girls in Puducherry
Abstract Views :298 |
PDF Views:154
Authors
Affiliations
1 Department of Home Science, Bharathidasan Government College for Women (A NAAC Re-accredited Autonomous College affiliated to Pondicherry University) Puducherry – 605 003, IN
1 Department of Home Science, Bharathidasan Government College for Women (A NAAC Re-accredited Autonomous College affiliated to Pondicherry University) Puducherry – 605 003, IN
Source
ScieXplore: International Journal of Research in Science, Vol 6, No 1 (2019), Pagination: 27-29Abstract
Published evidence indicates that myopia is common and increasing over time with apparent effects of race, location and generation. The progression of severity among the affected may lead to blindness. This study is designed to find the prevalence of myopia among adolescent girls. The sample size is 3836 college students. The prevalence was 13% with the highest among the science students and the least among the commerce students. An increasing trend was noticed when compared among the three classes.Keywords
Myopia, Point PrevalenceFull Text
References
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- Holden BA, Fricke TR, Wilson DA, et al. Global prevalence of myopia and high myopia and temporal trends from 2000 through 2050. Ophthalmology. 2016; 123:1036–42. PMid: 26875007. https://www.sciencedirect.com/science/ article/pii/S0161642016000257 https://doi.org/10.1016/j. ophtha.2016.01.006
- Vishnuprasad R, Bazroy J, Madhanraj K, Prashanth HR, Singh Z, Samuel AK, Muthukumar T. Visual impairment among 10-14 year school children in Puducherry: A crosssectional study. J Family Med Prim Care. 2017; 6(1):58–62. PMid: 29026750 PMCid: PMC5629901. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629901/ https://doi.org/10.4103/2249-4863.214983