Journal of Management and Engineering Integration, v.14 no.1

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    Journal of Management & Engineering Integration, v.14, no.1 (Summer)
    (Association for Industry, Engineering and Management Systems (AIEMS), 2021-06) Association for Industry, Engineering and Management Systems (AIEMS)
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    3D printing of Portland cement using a binder jetting system
    (Association for Industry, Engineering and Management Systems (AIEMS), 2021-06) Al Turk, Abdelhakim; Weheba, Gamal S.
    This paper presents proof of the concept that Portland cement can be used as a material on a commercial binder jetting system. Sixteen cylindrical specimens were printed using different layer thicknesses and cured under different conditions. Both printing and curing followed a statistically designed experiment covering all possible combinations of the factors. The average values of the compressive strength and deviation from nominal height were used as response variables. Statistical analysis of the results supported the concept and suggested settings that would allow for maximum strength and minimum deviation from the nominal height. The concept appears to have several potential applications in restoration projects and the construction industry.
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    Building design, resident's behavior, and indoor radon in the Commonwealth of Kentucky
    (Association for Industry, Engineering and Management Systems (AIEMS), 2021-06) Mansour, Osama E.; Haddad, Bashar
    This research aims to identify the impact of foundation type on average indoor radon levels in houses in the Commonwealth of Kentucky. It compares the averages of indoor Radon in 4 houses in Warren County, Kentucky, an area classified as zone 1 by the US Environmental Protection Agency. The predicted averages of indoor Radon greater than four pCi/L. The four houses are wood-frame structures; two of them are built on slabs-on-grade, the other two are raised on crawl spaces. A questionnaire was used to gather data about the occupant's behavior towards the indoor air quality in their houses during the test period. A T-test was performed to analyze the radon readings. The data analysis shows a significant difference in indoor Radon between houses of different foundation types. Unlike the previous studies, the houses built on slabs-ongrade show significantly lower averages of indoor Radon than those built on crawlspaces. Also, the results confirm earlier studies regarding the impact of the user's behavior on indoor air quality. Natural ventilation can significantly reduce the averages of indoor Radon. A limitation of this study is that it was carried out in only four houses. More surveys of indoor Radon in buildings with different foundation types are required for results to be generalizable.
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    Robust cardiovascular disease prediction using logistic regression
    (Association for Industry, Engineering and Management Systems (AIEMS), 2021-06) Datta, Snigdha; Gang, Isaac K.
    Cardiovascular disease, commonly known as heart disease, is one of the leading causes of death in the United States and worldwide. Early detection of the disease can save thousands of lives and billions of dollars in healthcare costs. A statistical model with the ability to accurately predict heart disease could be of immense help to the patients, their families, the medical community, and the healthcare system. Hospitals and providers collect many patient health metrics during screening and routine lab tests, which could be used to build such a statistical model. A robust heart disease prediction model is built using a sample dataset from the University of California, Irvine Machine Learning repository. Initial Hypotheses are formulated, and the most significant predictor variables are identified using the Wald test. The statistical significance of the proposed model is tested using the Likelihood-Ratio test. A repeated 10-fold cross-validation technique is used to evaluate the model's prediction power on previously unseen data. Keeping in mind the simplicity, usability, and explainability of results to the medical community, a Logistic Regression model that predicts the heart disease class with a high degree of accuracy is presented in this paper.
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    Impact of organizational slack on innovation outcomes
    (Association for Industry, Engineering and Management Systems (AIEMS), 2021-06) Hill, John; Walton, Abram
    This research analyzes the relationship between the impact of organizational slack on patent productivity as a proxy for innovation and the resulting firm performance by longitudinally investigating 114 U.S. firms. The role of slack as a moderated measure of innovation was also explored, with its impact on technology and non-technology industry firms compared. In study one, the evidence concluded that slack is positively correlated with innovation productivity, but the company type was not statistically significant. In addition, the study did not find an inversion in the relationship between slack and innovation that would produce a negative correlation as the level of slack in firms reaches a tipping point. Study two demonstrated a positively correlated relationship between the rate of innovation and firm growth. The presence of slack positively moderates this relationship, and this moderation effect increases for technology companies.