Digital Commons Network^™

Investigation Of Consumer Attitudes Towards Emerging Novel Food Processing Technologies In The Republic Of Ireland, Emine Berna Cibik

Theses

Food industry and governmental organisations are continuously working on innovative food processing technologies in order to produce safe foods without causing undesirable changes in the food products. Food is a very sensitive area so consumers are conservative in accepting food products produced from novel technologies compared to other products. Food is basic needs of humans and it is becoming more and more globalized recently, but public perceptions are not same in different countries. The aim of this research was to investigate consumer attitudes toward novel food processing technologies in Republic of Ireland. A quantitative research was conducted and data was …

Start Of Epidemy In A City: Short-Term Forecast Of Covid-19 With Gmdh-Based Algorithms And Official Medical Statistics, Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Svetland Popova

Conference papers

The sudden onset and quick development of an unknown epidemic may lead to tragic consequences: panic of population due to victims and unpreparedness of authorities for effectively help to population. These circumstances define extremely high requirements to the tools for short-term operational forecast. Namely, such tools should provide reliable results when model of phenomenon is unknown (factors of disease spreading) and data are limited (time series of observations). GMDH-based algorithms just meet these requirements unlike modern differential or advanced statistical models. In this study we test different algorithms from GMDH Shell platform on the example of Covid-19 epidemic in Moscow …

Brexit: Psychometric Profiling The Political Salubrious Through Machine Learning: Predicting Personality Traits Of Boris Johnson Through Twitter Political Text, James Usher, Pierpaolo Dondio

Conference papers

Whilst the CIA have been using psychometric profiling for decades, Cambridge Analytica showed that people's psychological characteristics can be accurately predicted from their digital footprints, such as their Facebook or Twitter accounts. To exploit this form of psychological assessment from digital footprints, we propose machine learning methods for assessing political personality from Twitter. We have extracted the tweet content of Prime Minster Boris Johnson’s Twitter account and built three predictive personality models based on his Twitter political content. We use a Multi-Layer Perceptron Neural network, a Naive Bayes multinomial model and a Support Machine Vector model to predict the OCEAN …

A Discrimination Aware Model To Predict Childhood Literacy Levels, Kate Byrne

Dissertations

It is illegal in Ireland to discriminate in the provision of education on the basis of multiple characteristics including gender, race and religion. While the increased use of machine learning models can open multiple avenues to identify early intervention strategies in education, caution must be exercised to ensure that any intervention does not discriminate with respect to a protected class. Poor literacy in childhood can have long term effects as the child ages, including on employment and mental health outcomes. Early intervention is key in mitigating this. In this dissertation, a model was created that predicted the outcome of a …

The Role Of Prior Knowledge In Peer Tutorials: Rethinking The Study Of Transfer In Writing Centers, Ellen C. Carillo

The Writing Center Journal

No abstract provided.

Stereotypes Or Validation: Lessons Learned From A Partnership Between A Writing Center And A Summer Academic Program For Incoming Students Of Color, Rachel Azima

The Writing Center Journal

No abstract provided.

International Undergraduates' Perceptions Of Their Second Language Writing Development And Their Implications For Writing Center Tutors, Carol Severino, Deirdre Egan, Shih-Ni Prim

The Writing Center Journal

No abstract provided.

Believing In The Online Writing Center, Anna Worm

The Writing Center Journal

No abstract provided.

The Linguist In The Writing Center: A Primer On Textual Analysis In Writing Center Studies, Michael Rymer

The Writing Center Journal

No abstract provided.

Back Matter

The Writing Center Journal

No abstract provided.

Family Satisfaction As A Function Of Cohesion, Flexibility, And Coping Among Parents Of Children With Down Syndrome, Jeff Ricketts

Electronic Theses and Dissertations Archive

When a child with Down syndrome is born in to a family the special needs of the child, the birth and the reactions of the family members can cause stress to the family system. The family systems characteristics affect how well the family can adjusts to these stressors. Understanding the relationship of the family systems characteristics to stress adaptation can help counselors aid these families as they implement these changes. The objectives of this study were to determine (a) how balanced family cohesion and balanced family flexibility relate to family satisfaction for families with a child with Down syndrome, and …

An Experimental Research On Cationic Reverse Flotation Of Anshan-Type Iron Ores, Zhonghang Chen, Dianbing Zhu, Shujuan Dai, Ahmed Sobhy

Mining Engineering Faculty Research & Creative Works

The mineral processing technology of Anshan-type iron ores has been developed in a rapid speed in recent years, and the combined flowsheet at the core of anionic reverse flotation has become a mainstream in the beneficiation of Anshan-type iron ores in China. With the successful application of this combined flowsheet, some obvious problems are also emerging. Such as high requirement of pulp temperature, complex reagent system, high cost of reagent consumption and so on. In view of this, we have carried out an experimental study on the separation of Anshan type iron ore by cationic reverse flotation. A new collector …

Model Comparison From Ligo-Virgo Data On Gw170817'S Binary Components And Consequences For The Merger Remnant, B. P. Abbott, R. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.

Physics Faculty Research & Creative Works

GW170817 is the very first observation of gravitational waves originating from the coalescence of two compact objects in the mass range of neutron stars, accompanied by electromagnetic counterparts, and offers an opportunity to directly probe the internal structure of neutron stars. We perform Bayesian model selection on a wide range of theoretical predictions for the neutron star equation of state. For the binary neutron star hypothesis, we find that we cannot rule out the majority of theoretical models considered. In addition, the gravitational-wave data alone does not rule out the possibility that one or both objects were low-mass black holes. …

Role Of Ergonomics In The Selection Of Stemming Plugs For Surface Mining Operations, Atta Ur Rehman, Muhammad Zaka Emad, Muhammad Usman Khan

Mining Engineering Faculty Research & Creative Works

Stemming plugs are one of the widely used accessories in surface mining operations. Stemming plugs assist conventional stemming material in gas retention and help in better fragmentation and explosive utilization. Effective use of the stemming plugs results in economic benefits and enhance the efficacy of the project. Economic and productive viability of stemming plugs have been conducted in depth by different researchers. Addition of stemming plugs to a new system requires ergonomic challenges for operators conducting drilling and blasting operation. Induction of a newer product in already established system is subject to overall positive feedback. This work investigates ergonomics of …

Impact Of Considering And Neglecting States On Descent-To-Landing Navigation, Kyle J. Demars, Kari C. Ward

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This paper develops a novel square-root formulation of the consider/neglect Kalman filter for navigation applications. The proposed filter partitions system parameters into three distinct categories: those to be estimated by the filter, those whose contribution to the system can be considered without explicitly estimating them, and those with sufficiently low effect on the system such that their contribution can be neglected altogether. Discussion on appropriate selection of consider and neglect parameters is provided with specific attention given to descent-to-landing navigation. Monte Carlo simulations and analysis are performed to assess the performance of the square-root consider/neglect filter.

Robustness Metric For Robust Design Optimization Under Time-And Space-Dependent Uncertainty Through Metamodeling, Xinpeng Wei, Xiaoping Du

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Product performance varies with respect to time and space in many engineering applications. This paper discusses how to measure and evaluate the robustness of a product or component when its quality characteristics (QCs) are functions of random variables, random fields, temporal variables, and spatial variables. At first, the existing time-dependent robustness metric is extended to the present time-and space-dependent problem. The robustness metric is derived using the extreme value of the quality characteristics with respect to temporal and spatial variables for the nominal-the-better type quality characteristics. Then, a metamodel-based numerical procedure is developed to evaluate the new robustness metric. The …

Direct Numerical Simulation Of Turbulent Pressure Fluctuations Over A Cone At Mach 8, Junji Huang, Lian Duan, Katya M. Casper, Ross M. Wagnild, Neal P. Bitter

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Direct numerical simulations (DNS) were conducted to characterize the pressure fluctuations under the turbulent portion of the boundary layer over a sharp 7◦ half-angle cone at a nominal freestream Mach number of 8 and a unit Reynolds number of Reunit = 13.4 x 106/m. The axisymmetric cone geometry and the flow conditions of the DNS matched those measured in the Sandia Hypersonic Wind Tunnel at Mach 8 (Sandia HWT-8). The DNS-predicted wall pressure statistics, including the root-mean-square (r.m.s.) fluctuations and the power spectral density (PSD), were compared with those measured in the Sandia HWT-8. A good comparison between the DNS …

Simulation And Modeling Of Cold-Wall Hypersonic Turbulent Boundary Layers On Flat Plate, Junji Huang, Gary L. Nicholson, Lian Duan, Meelan M. Choudhari, Rodney D.W. Bowersox

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Direct numerical simulations (DNS) of flat-plate, zero-pressure-gradient turbulent boundary layers are presented for nominal freestream Mach numbers of 11 and 14 and a highly cooled wall (wall-to-recovery temperature of approximately 0.2). The flow conditions of the DNS are representative of the experimental data for a Mach 11.1 turbulent boundary layer on a flat plate that was tested at Calspan–University of Buffalo Research Center (CUBRC) and the operational conditions of the AEDC Hypervelocity Tunnel No. 9 at Mach 14. The wall shear stress and turbulent heat flux predicted by DNS show good comparisons with those measured at CUBRC and those modeled …

Vietnamese Punctuation Prediction Using Deep Neural Networks, Thuy Pham, Nhu Nguyen, Hong Quang Pham, Han Cao, Binh Nguyen

Research Collection School Of Computing and Information Systems

Adding appropriate punctuation marks into text is an essential step in speech-to-text where such information is usually not available. While this has been extensively studied for English, there is no large-scale dataset and comprehensive study in the punctuation prediction problem for the Vietnamese language. In this paper, we collect two massive datasets and conduct a benchmark with both traditional methods and deep neural networks. We aim to publish both our data and all implementation codes to facilitate further research, not only in Vietnamese punctuation prediction but also in other related fields. Our project, including datasets and implementation details, is publicly …

Challenges And Trends In Sustainable Corporate Finance: A Bibliometric Systematic Review, Tad Dat Bui, Mohd Helmi Ali, Feng Ming Tsai, Mohammad Iranmanesh, Ming-Lang Tseng, Ming K. Lim

Research outputs 2014 to 2021

Sustainable corporate finance is an attractive field of study in sustainability literature; however, the literature lacks systematic bibliometric analysis that provides a comprehensive review to clarify state-of-the-art sustainable corporate finance and that discusses new opportunities and potential instructions for further studies. To address this gap, this study adopts a literature review, bibliometric analysis, network analysis and co-wording technique to systematically investigate the Scopus database. In total, 30 keywords listed at least three times are used and are divided into six clusters considering six fields of research, namely, corporate finance in corporate sustainability, sustainable competitive advantages, sustainable stakeholder engagement, circular economy, …

Real-Time Assembly Operation Recognition With Fog Computing And Transfer Learning For Human-Centered Intelligent Manufacturing, Wenjin Tao, Md Al-Amin, Haodong Chen, Ming-Chuan Leu, Zhaozheng Yin, Ruwen Qin

Mechanical and Aerospace Engineering Faculty Research & Creative Works

In a human-centered intelligent manufacturing system, every element is to assist the operator in achieving the optimal operational performance. The primary task of developing such a human-centered system is to accurately understand human behavior. In this paper, we propose a fog computing framework for assembly operation recognition, which brings computing power close to the data source in order to achieve real-time recognition. For data collection, the operator's activity is captured using visual cameras from different perspectives. For operation recognition, instead of directly building and training a deep learning model from scratch, which needs a huge amount of data, transfer learning …

A Brief Review On 3d Bioprinted Skin Substitutes, Fateme Fayyazbakhsh, Ming-Chuan Leu

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The Global Escalating Cases of Skin Donor Shortage for Patients with Severe Wounds Warn the Vital Need for Alternatives to Skin Allografts. over the Last Three Decades, Research in the Skin Regeneration Area Has Addressed the Unmet Need for Artificial Skin Substitutes. 3D Bioprinting is a Promising Innovative Technology to Accurately Fabricate Skin Constructs based on Natural or Synthetic Bioinks, Whether Loaded or Not Loaded with Native Skin Cells (I.e., Keratinocytes and Fibroblasts) or Stem Cells in the Prescribed 3D Hierarchal Structure to Create Artificial Multilayer and Single Cell-Laden Construct. in This Paper, the Recent Developments in 3D Bioprinting for …

Asia Pacific Perspectives Vol. 16 No. 2, 2020, University Of San Francisco

Asia Pacific Perspectives

Contents:

Editor's Introduction by Melissa S. Dale

We are pleased to announce the publication of the latest issue of Asia Pacific Perspectives. In vol. 16, no. 2 (2020), we present the multifaceted ways in which scholars in the humanities and social sciences are looking at food and culture in the Asia Pacific. Beyond satisfying our curiosity about food trends and consumption patterns both past and present, our latest issue also considers themes important for our understanding of East Asia during the 20th and 21st centuries including global modernity, imperialism, the history of food in East Asia, the history of animal …

Reflections On The Origin Of Some Letters In The Glagolitic Alphabet, Part 2, Gerald Leonard Cohen

Arts, Languages and Philosophy Faculty Research & Creative Works

No abstract provided.

Introduction, Heather Neff, Jasmine Lee

Faculty Scholarship 2020

No abstract provided.

Building Empathy And Developing Instructional Design Experience And Skills: A Case Study Of Using Personas To Design Open Education Resources, John Baaki, Jennifer Maddrell

STEMPS Faculty Publications

This single case study involves the authors’ participation and observation of a massive open online course. To help instructional designers (IDs) develop open education resources for adults attempting to pass a United States high school equivalency exam, we constructed six personas that helped IDs put themselves in the users’ shoes. We begin by providing an overview of the scholarship that connects empathy, empathic design, persona construction, and meaning-making. After presenting our case study methodology and how we constructed six authentic personas, we present eight themes that demonstrate how IDs used the personas to build empathy for users and to develop …

New County Records Of Amphibians And Reptiles From South Texas, Usa, Clinton J. Guadiana, Padraic S. Robinson, Matthew S. Schalk, Drew R. Davis

School of Earth, Environmental, & Marine Sciences Faculty Publications

Several species of amphibians and reptiles reach their northern range limit in south Texas, USA. Herpetological research in the area, as well as frequent visits from amphibian and reptile enthusiasts, have helped to form a more complete understanding of amphibian and reptile distributions across the region. However, gaps in the recognized distribution of many species remain. Efforts to better document species occurrence are confounded by the lack of public land and the fact that most of south Texas is privately owned, making access to suitable habitat difficult (Schmidly et al. 2001)

Book Review: : Virtue And Meaning: A Neo-Aristotelian Perspective, By David Mcpherson, James Mcguire

Jesuit Higher Education: A Journal

No abstract provided.

From Open Access To Open Science: The Path From Scientific Reality To Open Scientific Communication, Christian Heise, Joshua M. Pearce

Michigan Tech Publications, Part 1

Although opening up of research is considered an appropriate and trend-setting model for future scientific communication, it can still be difficult to put open science into practice. How open and transparent can a scientific work be? This article investigates the potential to make all information and the whole work process of a qualification project such as a doctoral thesis comprehensively and freely accessible on the internet with an open free license both in the final form and completely traceable in development. The answer to the initial question, the self-experiment and the associated demand for openness, posed several challenges for a …

Exploration Of Approaches To Arabic Named Entity Recognition, Husamelddin Balla, Sarah Jane Delany

Conference papers

Abstract. The Named Entity Recognition (NER) task has attracted significant attention in Natural Language Processing (NLP) as it can enhance the performance of many NLP applications. In this paper, we compare English NER with Arabic NER in an experimental way to investigate the impact of using different classifiers and sets of features including language-independent and language-specific features. We explore the features and classifiers on five different datasets. We compare deep neural network architectures for NER with more traditional machine learning approaches to NER. We discover that most of the techniques and features used for English NER perform well on Arabic …