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Articles 1 - 30 of 547
Full-Text Articles in Entire DC Network
Index, Criticism Editors
To See The Earth As Other, John Corso Esquivel
Conversation And The Infinite Long Run, Anne Freadman
New Deal Cinema And The Politics Of Sympathy, Stephen Schryer
The Judgment Of The Drawing Room, Kristin Flieger Samuelian
Front Matter, Criticism Editors
Front Matter, Antipodes Editors
Food Waste In The United States: Issues, Ethics, And Solutions, Patrick Erickson
Food Waste In The United States: Issues, Ethics, And Solutions, Patrick Erickson
Honors College Theses
One-third of all food produced for human consumption is lost or wasted globally. In North America and Europe, 280-300 kg of food is wasted per capita each year, with more than 40% of the losses occurring at the retail and consumer level. In this paper, I compare the amount of food wasted in the United States to the amounts wasted by different societies around the world, and discuss the reasons for the food waste, and the consequences that the waste has on our society, in terms of resource consumption and production of pollution. The pragmatic philosophy of Richard Rorty states …
Index To Volume 31 (2017), Marvels & Tales Editors
Index To Volume 31 (2017), Marvels & Tales Editors
Marvels & Tales
No abstract provided.
Contributors, Marvels & Tales Editors
Reviews, Marvels & Tales Editors
Reviews, Marvels & Tales Editors
Marvels & Tales
The Latin American Story Finder: A Guide to 470 Tales from Mexico, Central America, and South America, Listing Subjects and Sources. By Sharon Barcan Elswit. Jefferson, NC: McFarland, 2015. 318 pp. (Reviewed by John Bierhorst)
The Princess and the Goblin and Other Fairy Tales. By George MacDonald. Edited by Shelley King and John B. Pierce. Toronto: Broadview, 2014. 382 pp. (Reviewed by Sara Cleto, The Ohio State University)
Tales of the Brothers Grimm. Illustrated by Natalie Frank. Edited by Karen Marta. Bologna: Damiani Press, 2015. 272 pp. (Reviewed by Kirsten Rae Simonsen, University of Hawai‘i at Mānoa)
Folktales and Fairy …
From The Editors, Cristina Bacchilega, Anne E. Duggan
From The Editors, Cristina Bacchilega, Anne E. Duggan
Marvels & Tales
No abstract provided.
The Imp Of The Perverse, John Emil Vincent
No Story, No Myth, Jonathan Lamb
Are You My Internal Object?, Sharif Youssef
An Impossible Ideal: Motherhood In Eighteenth-Century Britain, Jessica Hanselman Gray
An Impossible Ideal: Motherhood In Eighteenth-Century Britain, Jessica Hanselman Gray
Criticism
No abstract provided.
Contributors, Antipodes Editors
The Effects Of Exercise On Mental Health: A Research Review, Kaylani Benson
The Effects Of Exercise On Mental Health: A Research Review, Kaylani Benson
Honors College Theses
This research review looks at the effects exercise and physical activity have on mental health. The results of this review are based upon the results of the formal studies that have been included. These studies are Benefits of Exercise on Physical and Mental Health in Rheumatoid Arthritis Patients, Exercise Effects on Mental Health of Preschool Children, The Effect of Morning Exercise on Mental Health of Female Police Employees, Exercise and Mental Health of People Living with HIV: A Systemic Review, Exercise Improves Physical Function and Mental Health of Brain Cancer Survivors: Two Exploratory Case Studies, Effect of Yogic and Physical …
What 2017 Holds For Technology In Dentistry, Arshi Siddiqui
What 2017 Holds For Technology In Dentistry, Arshi Siddiqui
Honors College Theses
Dentistry in the United States is a field that grows and expands based on the needs of its consumers. This paper aims to highlight this very versatility through the analysis of specific demographics of dental practitioners, consumers, and the changes in technology that are predicted for the future of dentistry. With the rise of Generation X and the Millennial Generation, dentistry will undergo many changes alongside the rise of technology throughout the recent years. More evidently, the population is undergoing a very seismic shift in the way they view themselves. Because people are harboring more of an individualistic mindset, the …
The Analytical Methods Used To Detect Fluoride In Dental Pharmaceuticals, Amber Aboona
The Analytical Methods Used To Detect Fluoride In Dental Pharmaceuticals, Amber Aboona
Honors College Theses
My thesis, “The Analytical Methods Used to Detect Fluoride in Dental Pharmaceuticals” discusses the various analytical chemistry methods which are incorporated in the field of dentistry in order to detect fluoride in pharmaceuticals such as toothpaste and mouthwash. The oral cavity is exposed to various forms of bacteria, many of which enter through the consumption of foods and drinks that contain sugar and starch. The side effects of fluoride have been a controversial component of oral healthcare, however, many benefits have been discussed. Water fluoridation has been one of many significant methods of incorporating fluoride into the oral cavity, enhancing …
Unit Root Test For Panel Data Ar(1) Time Series Model With Linear Time Trend And Augmentation Term: A Bayesian Approach, Jitendra Kumar, Anoop Chaturvedi, Umme Afifa, Shafat Yousuf, Saurabh Kumar
Unit Root Test For Panel Data Ar(1) Time Series Model With Linear Time Trend And Augmentation Term: A Bayesian Approach, Jitendra Kumar, Anoop Chaturvedi, Umme Afifa, Shafat Yousuf, Saurabh Kumar
Journal of Modern Applied Statistical Methods
The univariate time series models, in the case of unit root hypothesis, are more biased towards the acceptance of the Unit Root Hypothesis especially in a short time span. However, the panel data time series model is more appropriate in such situation. The Bayesian analysis of unit root testing for a panel data time series model is considered. An autoregressive panel data AR(1) model with linear time trend and augmentation term has been considered and derived the posterior odds ratio for testing the presence of unit root hypothesis under appropriate prior assumptions. A simulation study and real data analysis are …
'Parallel Universe' Or 'Proven Future'? The Language Of Dependent Means T-Test Interpretations, Anthony M. Gould, Jean-Etienne Joullié
'Parallel Universe' Or 'Proven Future'? The Language Of Dependent Means T-Test Interpretations, Anthony M. Gould, Jean-Etienne Joullié
Journal of Modern Applied Statistical Methods
Of the three kinds of two-mean comparisons which judge a test statistic against a critical value taken from a Student t-distribution, one – the repeated measures or dependent-means application – is distinctive because it is meant to assess the value of a parameter which is not part of the natural order. This absence forces a choice between two interpretations of a significant test result and the meaning of the test hypothesis. The parallel universe view advances a conditional, backward-looking conclusion. The more practical proven future interpretation is a non-conditional proposition about what will happen if an intervention is (now) applied …
Citizens For Peace Activities & Accomplishments 2017, Ann Abdoo
Citizens For Peace Activities & Accomplishments 2017, Ann Abdoo
Citizens for Peace
No abstract provided.
National Trends In Admission And In-Hospital Mortality Of Patients With Heart Failure In The United States (2001–2014), Emmanuel Akintoye, Alexandros Briasoulis, Alexander Egbe, Shannon M. Dunlay, Sudhir Kushwaha, Diane Levine, Luis Afonso, Dariush Mozaffarian, Jarrett Weinberger
National Trends In Admission And In-Hospital Mortality Of Patients With Heart Failure In The United States (2001–2014), Emmanuel Akintoye, Alexandros Briasoulis, Alexander Egbe, Shannon M. Dunlay, Sudhir Kushwaha, Diane Levine, Luis Afonso, Dariush Mozaffarian, Jarrett Weinberger
Internal Medicine Faculty Publications
Background-—To investigate heart failure (HF) hospitalization trends in the United States and change in trends after publication of management guidelines.
Methods and Results-—Using data from the National Inpatient Sample and the US Census Bureau, annual national estimates in HF admissions and in-hospital mortality were estimated for years 2001 to 2014, during which an estimated 57.4 million HF-associated admissions occurred. Rates (95% confidence intervals) of admissions and in-hospital mortality among primary HF hospitalizations declined by an average annual rate of 3% (2.5%–3.5%) and 3.5% (2.9%–4.0%), respectively. Compared with 2001 to 2005, the average annual rate of decline in primary HF admissions …
Robust Measures Of Variable Importance For Multivariate Group Designs, Tolulope T. Sajobi, Lisa M. Lix
Robust Measures Of Variable Importance For Multivariate Group Designs, Tolulope T. Sajobi, Lisa M. Lix
Journal of Modern Applied Statistical Methods
Variable importance measures based on discriminant analysis and multivariate analysis of variance are useful for identifying variables that discriminate between two groups in multivariate group designs. Variable importance measures are developed based on trimmed and Winsorized estimators for describing group differences in multivariate non-normal populations.
Modeling Agreement Between Binary Classifications Of Multiple Raters In R And Sas, Aya A. Mitani, Kerrie P. Nelson
Modeling Agreement Between Binary Classifications Of Multiple Raters In R And Sas, Aya A. Mitani, Kerrie P. Nelson
Journal of Modern Applied Statistical Methods
Cancer screening and diagnostic tests often are classified using a binary outcome such as diseased or not diseased. Recently large-scale studies have been conducted to assess agreement between many raters. Measures of agreement using the class of generalized linear mixed models were implemented efficiently in four recently introduced R and SAS packages in large-scale agreement studies incorporating binary classifications. Simulation studies were conducted to compare the performance across the packages and apply the agreement methods to two cancer studies.
Inferential Procedures For Log Logistic Distribution With Doubly Interval Censored Data, Yue Fang Loh, Jayanthi Arasan, Habshah Midi, M. R. Abu Bakar
Inferential Procedures For Log Logistic Distribution With Doubly Interval Censored Data, Yue Fang Loh, Jayanthi Arasan, Habshah Midi, M. R. Abu Bakar
Journal of Modern Applied Statistical Methods
The log logistic model with doubly interval censored data is examined. Three methods of constructing confidence interval estimates for the parameter of the model were compared and discussed. The results of the coverage probability study indicated that the Wald outperformed the likelihood ratio and jackknife inferential procedures.
Approximating The Distribution Of Indefinite Quadratic Forms In Normal Variables By Maximum Entropy Density Estimation, Ghasem Rekabdar, Rahim Chinipardaz
Approximating The Distribution Of Indefinite Quadratic Forms In Normal Variables By Maximum Entropy Density Estimation, Ghasem Rekabdar, Rahim Chinipardaz
Journal of Modern Applied Statistical Methods
The quadratic form of non-central normal variables is presented based on a sum of weighted independent non-central chi-square variables. This presentation provides moments of quadratic form. The maximum entropy method is used to estimate the density function because distribution moments of quadratic forms are known. A Euclidean distance is proposed to select an appropriate maximum entropy density function. In order to compare with other methods some numerical examples were evaluated. Also, for discrimination between two groups by the Euclidean distances, we obtained a stochastic representation for the linear discriminant function using the quadratic form. The maximum entropy estimation was an …
Missing Data In Longitudinal Surveys: A Comparison Of Performance Of Modern Techniques, Paola Zaninotto, Amanda Sacker
Missing Data In Longitudinal Surveys: A Comparison Of Performance Of Modern Techniques, Paola Zaninotto, Amanda Sacker
Journal of Modern Applied Statistical Methods
Using a simulation study, the performance of complete case analysis, full information maximum likelihood, multivariate normal imputation, multiple imputation by chained equations and two-fold fully conditional specification to handle missing data were compared in longitudinal surveys with continuous and binary outcomes, missing covariates, and an interaction term.
Semi-Parametric Method To Estimate The Time-To-Failure Distribution And Its Percentiles For Simple Linear Degradation Model, Laila Naji Ba Dakhn, Mohammed Al-Haj Ebrahem, Omar Eidous
Semi-Parametric Method To Estimate The Time-To-Failure Distribution And Its Percentiles For Simple Linear Degradation Model, Laila Naji Ba Dakhn, Mohammed Al-Haj Ebrahem, Omar Eidous
Journal of Modern Applied Statistical Methods
Most reliability studies obtained reliability information by using degradation measurements over time, which contains useful data about the product reliability. Parametric methods like the maximum likelihood (ML) estimator and the ordinary least square (OLS) estimator are used widely to estimate the time-to-failure distribution and its percentiles. In this article, we estimate the time-to-failure distribution and its percentiles by using a semi-parametric estimator that assumes the parametric function to have a half- normal distribution or an exponential distribution. The performance of the semi-parametric estimator is compared via simulation study with the ML and OLS estimators by using the mean square error …