• Asian Pacific Journal of Cancer Prevention
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• v.13 no.10
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• pp.4979-4981
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• 2012

Aim: Breast cancer is one of the most common cancers of women in India with high fatality rate. Over a 1 year study period 105 consecutive biopsy or fine needle aspiration cytology confirmed breast cancer patients were interviewed by direct questionnaire method regarding risk factors attending Surgery and Radiotherapy OPD of Medical College Kolkata, West Bengal while taking other 105 patients attending Surgery Department for some other disease as controls. The data were compiled in MS Excel 2007 and analyzed by Epi info 3.5.1 software. Among the cases, rural residence, illiteracy and low socio-economic status was significantly higher than controls. Late onset of menarche, late onset of menopause, ever OCP usage, breast feeding for 1-2 years and age of 1st childbirth between 20-30 years were found to be significant protective factors. People should be made aware regarding the modifiable risk factors to prevent breast cancer.

• Journal of the Korean Home Economics Association
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• v.38 no.12
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• pp.29-45
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• 2000

The purposes of this study were to determine what factors influence risk perceptions of females and males for milk produced using food-related biotechnology, to test whether risk perceptions or other factors influence self-protection actions and to estimate milk demand response in light of self-protection actions and other economic and demographic factors. The expected utility model was applied to explain the way consumers would take self-protection actions regarding risk perceptions and to drive milk demand. Telephone interviews were conducted and the data were collected from households(females=1,029, males=437) nationwide in the U.S. And the data were analyzed by Heckman two-step method using the software package LIMDEP. Risk perceptions were found to be influenced not by demographic factors but by outrage factors as well as attitudinal factors in both females and males, although some factors were different. In addition, risk perceptions and labeling availability were found to significantly influence self-protection actions in both groups. Furthermore, as an important concern in this study, self-protection action was found to significantly influence milk demand in only male group, implying a consistent behavior of males. Also milk price and household size were found to significantly influence milk demand in both groups. In fact, the results did demonstrate that labeling availability significantly influenced self-protection actions. That is, in markets where labeled laternatives were present, concerned consumers were more likely to self protect by substituting to these products. A policy implication of this result is that labeling food products produced using biotechnology enhances consumer choice. Hence, consumer could express a more accurate demand response and reduce the perceived food safety risk. Furthermore, education for females might be necessary to have a consistent behavior because self-protection action did not significantly influence female's milk demand, though they have greater risk perceptions than males have.

• Journal of Internet Computing and Services
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• v.22 no.1
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• pp.65-77
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• 2021

COVID-19 has recently impacted the world with the large numbers of infected and deaths. The development of effective COVID-19 vaccine has not been successful. Hence, people have a high concern on the infection of this disease. The infection information from the governmantal public organizations are mainly based on simple summary statistics. Consequently, it is hard to assess the infection risks of individual person and the current location of the person. In this paper, we present a machine learning-based software system that analyzes COVID-19 infection risks and guidelines for safe activities.This paper proposes a suite of risk factors regarding COVID-19 infection and deaths and methods to quantitatively measure the individual and group risks using the proposed metrics. The proposed system utilizes a clustering algorithms and various software approaches that reflect the information and features of inviduals and their geograpical locations.

• The Journal of Information Systems
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• v.22 no.4
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• pp.23-48
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• 2013

This study shows that a sustainable competitive advantage and entrepreneurial characteristics are necessary for a software company to achieve competitive innovation and growth. This study investigates various software company characteristics and the effects of various company factors as its main research objectives. The data used in this research model were collected from software companies in South Korea. A total of 211 questionnaires were collected over a period of two months in 2013. EXCEL, AMOS, and SPSS were used to derive the study results. The hypothesis testing results of this study are as follows. First, a software company's entrepreneurial innovativeness and risk-taking behaviors have a positive influence on software innovativeness. A greater sense of innovativeness and entrepreneurial orientation leads to a higher propensity to take risks in software development. Second, the characteristics of software innovativeness, and flexibility have a significant influence on software company performance. Innovation during the initial periods of software usage can create a high demand for improvements and new features, requiring a flexible software design. Finally, this study analyzes the software features of entrepreneurial characteristics and the influence of institutional factors on the characteristics of individual innovativeness and software development. Entrepreneurial characteristics can affect governmental or institutional support, policies, and legal frameworks to promote the role of software innovativeness. The results of this study imply that software companies can adopt an entrepreneurial approach to promote technology development and product development for achieving a competitive advantage in the industry. This study also analyzes the environmental factors that affect the software industry and their implications for policy makers.

• Journal of Korean Public Health Nursing
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• v.27 no.3
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• pp.450-465
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• 2013

Purpose: The purpose of this study was to identify cognitive impairment and risk factors among elderly persons aged 60 or more in Korea using raw data from the 2008 Elderly Survey: Basic Analysis Report of Actual Living Condition of the Elderly and Welfare Need Survey in Korea. Methods: This study was conducted using raw data obtained from 13,335 subjects representing elderly persons aged 60 or more in Korea. Data were analyzed using SPSS 19.0 software. Results: The rate of cognitive impairment was found to be 22.0%. Logistic regression analysis became more prevalent with increased aged. In addition elderly subjects with the following factors showed increased cognitive impairment: mails; underweight; slept well for 3 to 4 days per week at most; lack of high intensity physical activity; Eub/Myoun area; did not live alone; did not graduate from high school; un-employed; lack of active social participation, and not computer/Internet savvy. Conclusion: This study identified cognitive impairment and risk factors among elderly persons aged 60 or more in Korea using samples representing elderly persons aged 60 or more throughout the country.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5593-5596
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• 2014

Background: The objective of this study was to determine a diagnostic classification scheme using a decision tree based model. Materials and Methods: The study was conducted as a retrospective case-control study in Imam Khomeini hospital in Tehran during 2001 to 2009. Data, including demographic and clinical-pathological characteristics, were uniformly collected from 624 females, 312 of them were referred with positive diagnosis of breast cancer (cases) and 312 healthy women (controls). The decision tree was implemented to develop a diagnostic classification scheme using CART 6.0 Software. The AUC (area under curve), was measured as the overall performance of diagnostic classification of the decision tree. Results: Five variables as main risk factors of breast cancer and six subgroups as high risk were identified. The results indicated that increasing age, low age at menarche, single and divorced statues, irregular menarche pattern and family history of breast cancer are the important diagnostic factors in Iranian breast cancer patients. The sensitivity and specificity of the analysis were 66% and 86.9% respectively. The high AUC (0.82) also showed an excellent classification and diagnostic performance of the model. Conclusions: Decision tree based model appears to be suitable for identifying risk factors and high or low risk subgroups. It can also assists clinicians in making a decision, since it can identify underlying prognostic relationships and understanding the model is very explicit.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.10
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• pp.5195-5199
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• 2012

Objectives: Global cancer statistical data show that India has one of the highest incidence rates of oral cancer worldwide. Early detection is extremely important as it results in lower morbidity and death rates. The present study was undertaken to assess awareness of oral cancer and knowledge of its early signs and risk factors in the general public of the semi-urban Gorakhpur area of Uttar Pradesh (India). It was also intended to educate the same population for early detection by increasing their ability to recognize signs and risk factors. Method: A questionnaire-based household survey was conducted over a period of one month in different parts of Gorakhpur district, a region where tobacco use is apparently very high. A total of 2,093 persons participated in the survey. The collected data were analyzed using SPSS software to assess and associate oral cancer awareness with the prevalence, and abstract risk factors, as well as other confounding variables. Results: The general awareness, knowledge of signs and risk factors of oral cancer were found to be proportionate to the literacy level with the highest rate of awareness being among high school and graduates and lowest among illiterates. It was also observed that on most of these dimensions the younger age groups (<30 years) were significantly more knowledgeable. Conclusion: Overall, the awareness of oral cancer in the high-risk population of Gorakhpur was not satisfactory, pointing to a need for further dissemination of information on this issue and its associated risks. This is especially important for the youngsters, as this may possibly help them keep away from the deleterious habit of tobacco indulgence in any form. If necessary risk factor cessation counselling should be provided.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.3
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• pp.1077-1083
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• 2012

SDO(Software Development Outsourcing) projects have been consistently increasing and expanding but also have many failures. In order to improve SDO performance, the factors affecting SDO performance are investigated in this study. SDO has relational risk as well as performance risk in nature, and the factors affecting the SDO performance caused by these mixed risks are drawn from the prior studies. With field survey targeted client IS personnel who experienced SDO, 214 survey questionnaires are collected and analyzed. Research results show that vendor power, client requirements certainty, goal clarity and goal alignment affect the SDO performance. However, vendor knowledge and client knowledge do not have much effect on SDO performance. The results of this study can be effectively utilized to decrease the failures of SDO and increase the possibility of success.

• Journal of Internet Computing and Services
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• v.15 no.4
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• pp.57-65
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• 2014

Risk factors are the reason behind cost overruns and delays in long-term large-scale IT service projects. Major risks originate from the integration of complex IT system components, including software, hardware, and solutions; the competitive bidding process; the turnkey and firm-fixed price nature of contracts; and the project execution environment. We have identified several risk factors such as delay in acceptance, low quality of deliverables, delay in payment, adding and changing requirements and scope, unclear definition of roles and responsibilities of the buyer and supplier, and unclear procedures of change and quality management during the project execution phase. One needs to manage risks proactively before signing the contract. In order to weed out or lower the risk factors well in advance, we need to identify and remove risk factors contained in contract clauses and attached contract documents. We propose a checklist for assessing IT service project contracts. To validate the checklist's utility, we applied it to an IT service project in the finance industry. The results show that the checklist is effective in identifying and removing risk factors pertaining to IT service projects.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.130-139
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• 2007

This paper presents a study on risk analysis in terms of contractor's costs in construction phase in which Crystal ball (software of Decisioneering, UK) has been utilized as a main tool. To realize it, a questionnaire survey has been carried out to identify the dominant factors that strongly influence contractor costs in Vietnam. Based on results of questionnaire investigation, the survey identified three factors which were duration of each construction task, costs of reinforcing steel, and cement. Then a spreadsheet model was created in order to analyze risks. The study also indicates that the cost of reinforcing steel and cement are the cause of risks for contractors. According to the suggested model, contractors may foresee the probability of completion within the approved budget, and the possibility of earning in accordance with owner's payment conditions.