Science and Technology Studies Commons^™

Grain Boundary Induced Deformation Mechanisms In Nanocrystalline Al By Molecular Dynamics Simulation: From Interatomic Potential Perspective, Liang Zhang, Yasushi Shibuta, Xiaoxu Huang, Cheng Lu, Mao Liu

Faculty of Engineering and Information Sciences - Papers: Part B

Nanocrystalline metals exhibit many excellent mechanical properties and their underlying deformation mechanisms have been studying widespread. The well-designed atomistic simulations can predict the mechanical behavior of materials ahead of experiments and provide sufficient information on the atomic scale. The choice of appropriate interatomic potential is one of the main concerns of any atomistic simulation that needs to be seriously considered in order to obtain reliable results. In this study, we investigated the mechanical response and the deformation mechanisms of nanocrystalline Al under uniaxial loading by molecular dynamics (MD) simulations with different embedded atom method (EAM) interatomic potentials. The selection of ...

A New Method For Direct Tensile Testing Of Concrete, Faez Alhussainy, Hayder Alaa Hasan, M Neaz Sheikh, Muhammad N. S Hadi

Faculty of Engineering and Information Sciences - Papers: Part B

Different testing methods were used in previous studies to measure the direct tensile strength of concrete. However, these methods experienced several major deficiencies such as stress concentration at the end of the specimens because of inadequate gripping and loading eccentricity and nonuniform fracture plane because of difficulties in aligning and centering the specimens during testing. This study presents the details of a new method of testing concrete under uniaxial tension. The method was developed to overcome the difficulties associated with testing methods adopted in the previous research studies. A full description of the wooden molds used in casting the specimens ...

Enhancing Your Intelligence Agency Information Resource Iq: Pt. 4: National Geospatial Intelligence Agency (Ngia), National Intelligence University (Niu), And National Reconnaissance Office (Nro), Bert Chapman

Libraries Faculty and Staff Presentations

Webinar presentation on publicly accessible information resources produced by the U.S. National Geospatial Intelligence Agency (NGIA), National Intelligence University (NIU), and National Reconnaissance Office. Places significant emphasis on missions of these agencies, their historical accomplishments, coverage of their educational activity, and information on the technologies they have used and are currently using to fulfill their institutional objectives.

Response To Technology Advancement In Maritime Education And Training: A Case Study Of The South African National Maritime Institutes, Lihle Amanda Ngcobo

World Maritime University Dissertations

No abstract provided.

An Experimental Examination On Techniques To Mitigate The Spread Of Misinformation On Social Media Networks, Thomas Hayes

Georgia Undergraduate Research Conference (GURC)

Emerging research has focused on finding ways to control the spread of misinformation on SMNs. SMNs have become increasingly weaponized for individual and societal harm. For example, the United States Intelligence Community (USIC) recently released a joint statement with the Department of Homeland Security implicating the Russian government in using major social media networks (SMNs) to influence the 2016 Presidential election with "information warfare" (Clark, 2018). This study focuses on examining SMN features that can potentially reduce the spread of misinformation. Through an experimental survey approach, this study measures the effectiveness of SMN features in influencing misperceptions of SMN users ...

Unmanned Aircraft Systems (Uas) In The Cyber Domain: Protecting Usa's Advanced Air Assets, Randall K. Nichols, Hans C. Mumm, Wayne D. Lonstein, Julie J.C.H. Ryan, Candice Carter

NPP eBooks

Unmanned Aircraft Systems (UAS) are an integral part of the US national critical infrastructure. They must be protected from hostile intent or use to the same level as any other military or commercial asset involved in US national security. However, from the Spratly Islands to Djibouti to heartland America, the expanding Chinese Unmanned Aircraft Systems (UAS / Drone) industry has outpaced the US technologically and numerically on all fronts: military, commercial, and recreational.

Both countries found that there were large information security gaps in unmanned systems that could be exploited on the international cyber-security stage. Many of those gaps remain today ...

Troping The Enemy: Metaphor, Culture, And The Big Data Black Boxes Of National Security, Robert Albro

Secrecy and Society

This article considers how cultural understanding is being brought into the work of the Intelligence Advanced Research Projects Activity (IARPA), through an analysis of its Metaphor program. It examines the type of social science underwriting this program, unpacks implications of the agency’s conception of metaphor for understanding so-called cultures of interest, and compares IARPA’s to competing accounts of how metaphor works to create cultural meaning. The article highlights some risks posed by key deficits in the Intelligence Community's (IC) approach to culture, which relies on the cognitive linguistic theories of George Lakoff and colleagues. It also explores ...

Cultural Memory In Danger: Sustainable Information, Preservation, And Technology In The Humanities: A Theoretical Approach, Casey D. Hoeve

Collaborative Librarianship

Abstract

Management of library collections is an inherently collaborative process. Spanning multiple generations, materials are selected that support user communities, striving for the optimization of storage and access at the lowest cost.[i] While established partnerships are crucial for the survival of libraries, within any cooperative network, there exist opportunities for divergent practices. Alternative initiatives may have progressive intentions, but competing systems and groups have the potential to disrupt recognized standards and infrastructure, some of which can prove detrimental to information organizations.

Abrupt format changes and technological advancements have altered the way in which materials are currently acquired, accessed, and ...

Making It Pay To Be A Fan: The Political Economy Of Digital Sports Fandom And The Sports Media Industry, Andrew Mckinney

All Dissertations, Theses, and Capstone Projects

This dissertation is a series of case studies and sociological examinations of the role that the sports media industry and mediated sport fandom plays in the political economy of the Internet. The Internet has structurally changed the way that sport fans access sport and accelerated the processes through which the capitalist actors in the sports media industry have been able to subsume them. The three case studies examined in this dissertation are examples of how digital media technologies have both helped fans become more active producers and consumers of sports and made the sports media industry an integral and vanguard ...

Enhancing Trust In The Cryptocurrency Marketplace: A Reputation Scoring Approach, Dan Freeman, Tim Mcwilliams, Sudip Bhattacharyya, Craig Hall, Pablo Peillard

SMU Data Science Review

Trust is paramount for the effective operation of any monetary system. While the distributed architecture of blockchain technology on which cryptocurrencies operate has many benefits, the anonymity of users on the blockchain has provided criminal users an opportunity to hide both their identities and illicit activities. In this paper, we present a scoring mechanism for cryptocurrency users where the scores represent users’ trustworthiness as safe or risky transactors in the cryptocurrency community. In order to distinguish law-abiding users from potential threats in the Bitcoin marketplace, we analyze historical thefts to profile transactions, classify them into risky and non-risky categories using ...

Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels

SMU Data Science Review

In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that ...

Co-Production After An Urban Forest Fire: Post-Disaster Reconstruction Of An Informal Settlement In Chile, Lautaro Ojeda, Gonzalo Bacigalupe, Andrea Pino

Gonzalo Bacigalupe, EdD, MPH

Yardwork: A Biography Of An Urban Place By Daniel Coleman, Vivian M. Hansen

The Goose

Review of Daniel Coleman's Yardwork: A Biography of an Urban Place.

Initial Testing Of A Pixelated Silicon Detector Prototype In Proton Therapy, Andrew J. Wroe, Grant Mcauley, Anthony Teran, Jeannie Hsiu Ding Wong, Marco Petasecca, Michael L. F Lerch, James M. Slater, Anatoly B. Rosenfeld

James Slater, MD

As technology continues to develop, external beam radiation therapy is being employed, with increased conformity, to treat smaller targets. As this occurs, the dosimetry methods and tools employed to quantify these fields for treatment also have to evolve to provide increased spatial resolution. The team at the University of Wollongong has developed a pixelated silicon detector prototype known as the dose magnifying glass (DMG) for real-time small-field metrology. This device has been tested in photon fields and IMRT. The purpose of this work was to conduct the initial performance tests with proton radiation, using beam energies and modulations typically associated ...

Ls15 Libsym Camera Ready Digital Preservation.Docx, Derani N. Dissanayake, David M. Cook

Dr. David M Cook

Determination Of Takeoff And Landing Distances Using An Ipad Performance Application For The Diamond Da40, Tyler A. Babb, Christina Hiers

International Journal of Aviation, Aeronautics, and Aerospace

All pilots are required to calculate aircraft performance parameters prior to flight. This includes takeoff and landing distances. Traditionally, pilots in training have planned for takeoff and landing performance using paper charts provided by the manufacturer. However, professional pilots use devices such as Flight Management Systems (FMS), Electronic Flight Bag (EFB) applications, or on-board performance computers (OPC) to make such calculations. During primary flight training, student pilots could make performance calculations with proper software, similar to the method they will typically use at the professional level. Recently an iPad application was released which can calculate numerous performance parameters for specific ...

Measuring Public Utilization Perception Potential Of Unmanned Aircraft Systems, Julius Keller, Daniel Kwasi Adjekum, Bortiorkor Nii Tsui Alabi, Brian Kozak

International Journal of Aviation, Aeronautics, and Aerospace

The integration of Unmanned Aircraft Systems (UAS) into the National Air Space (NAS) in recent times has been met by mixed public responses. The paper establishes four constructs each of which encapsulates multiple backgrounds and concerns of the stakeholders: functional knowledge, utilization trust, operational integration support, and safety risk-benefits. The paper hypothesizes that these constructs can serve as underlying components for a research instrument namely, the Public Utilization Perception Potential (PUPP) which can be used to assess the opinions of the public on UAS integration into NAS. Responses from the public on items in a beta-tested survey instrument were analyzed ...

On Identifying Factors Affecting Ethical Practices In Data Science Domains, Yanqin Wang, Earl Shaw, Brian Kruse, Mehdi Ghods

SMU Data Science Review

In data science domains, ethics and ethical approaches are important to minimize adverse effects that may arise in data collection, analysis, and storage. What factors are influential for ethical practices in data science? In this research study, we designed a survey to capture an assessment of ethical concerns and practices from those currently active in the field by soliciting the attitudes/feelings of data science students and practitioners via the questionnaire. We analyzed the extent of their attitudes and identified factors contributing to the difference.

A Pluralism Worth Having: Feyerabend's Well-Ordered Science, Jamie Shaw

Electronic Thesis and Dissertation Repository

The goal of this dissertation is to reconstruct, critically evaluate, and apply the pluralism of Paul Feyerabend. I conclude by suggesting future points of contact between Feyerabend’s pluralism and topics of interest in contemporary philosophy of science. I begin, in Chapter 1, by reconstructing Feyerabend’s critical philosophy. I show how his published works from 1948 until 1970 show a remarkably consistent argumentative strategy which becomes more refined and general as Feyerabend’s thought matures. Specifically, I argue that Feyerabend develops a persuasive case against rationalism, or the thesis that there exist normative and exclusive rules of scientific rationality ...

Building A Call To Action: Social Action In Networks Of Practice, Damien M. Sánchez

Organization, Information and Learning Sciences ETDs

The three research papers completed as part of this dissertation explore how people contributing to #BlackLivesMatter build knowledge, using social construction of knowledge (SCK), and what they are building knowledge about, using critical consciousness, because understanding how these processes play out on Twitter provides a way for others to understand this social movement. Paper 1 describes a new methodological approach to combining social network analysis (SNA) and social learning analytics to assess SCK. The sequential mixed method design begins by conducting a content analysis according to the Interaction Analysis Model (IAM). The results of the content analysis yield descriptive data ...