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Play The Game, Don't Let It Play You: A Case Study Of African American Male Student-Athletes' Experiences At A Division Ii Historically Black College, Eric A. Bailey Ii

Electronic Theses and Dissertations Archive

The media's overrepresentation of Black men in entertainment often portrays that the only Black males who are successful are those who are either professional athletes or entertainers. Therefore, at an early age, many Black boys aspire to capitalize on what society speculates to be their best attributes--physical ability. African American male athletes spend countless hours practicing, exerting a great deal of energy, and enduring physical pain and injuries while competing, all for the slim hope of securing a roster spot on a professional sports team. While college is intended to be a place to acquire the necessary skills or credentials …

Soundboard Scholar No. 3 (Complete)

Soundboard Scholar

No abstract provided.

Progress For Whom, Toward What? Progressive Politics And New York City’S Mandatory Inclusionary Housing, Samuel Stein

Publications and Research

In both its historical Progressive Era roots and its contemporary manifestations, U.S. urban progressivism has evinced a contradictory tendency toward promoting the interests of capital and property while ostensibly protecting labor and tenants, thus producing policies that undermine its central claims. This article interrogates past and present appeals to urban progressive politics, particularly around housing and planning, and offers an in-depth case study of one of the most highly touted examples of the new urban progressivism: New York City’s recently adopted Mandatory Inclusionary Housing program. This case serves to identify the ways in which progressive rhetoric can disguise neoliberal policies. …

Context-Sensitive Human Activity Classification In Video Utilizing Object Recognition And Motion Estimation, Abigail R. Jacoby

Electrical and Computer Engineering ETDs

Classification of human activity in raw video presents a challenging problem that remains unsolved, and is of great interest for large datasets. Though there have been several attempts at applying image processing techniques to video to recognize human activity in controlled video segments, few have attained a significant degree of success in raw videos.

Raw video classification exhibits significant challenges that can be addressed through the use of geometric information. Current techniques employ a combination of temporal information of the feature space or a combination of Convolutional and Recurrent Neural Networks (CNN and RNNs). CNNs are used for frame feature …

Drinking Motives And Alcohol Use: The Serve Study Of U.S. Current And Former Service Members, Cynthia D. Mohr, Cameron T. Mccabe, Sarah N. Haverly, Leslie B. Hammer, Kathleen F. Carlson

Psychology Faculty Publications and Presentations

Objective: Hazardous drinking in the armed forces is a signifi cant problem. Alcohol use motivations, known risk factors for problem drinking, have been underexplored in this population. Our study extends knowledge about drinking motives among current and former U.S. service members and provides recommendations on their utility in identifying alcohol-related problems by examining the factor structure of multidimensional drinking motives and their association to alcohol use.

Method: Post-9/11 separated service members and current reservists were recruited from 35 Oregon employers to participate in a workplace study of supervisor support. The resulting sample (N = 509; 84% male; mean age = …

Development And Applications Of A Real-Time Magnetic Electron Energy Spectrometer For Use With Medical Linear Accelerators, Paul Ethan Maggi

LSU Doctoral Dissertations

Purpose – This work presents a design for a real-time electron energy spectrometer, and provides data analysis methods and characterization of the real-time system. This system is intended for use with medical linear accelerators (linacs). The goal is 1 Hz acquisition of the energy range 4-25 MeV, reconstructed in 0.1 MeV increments.

Methods – Our spectrometer uses a nominal 0.54 T permanent magnet block as the dispersive element and scintillating fibers coupled to a CCD camera as the position sensitive detector. A broad electron beam produced by a linac is collimated by a 6.35 mm dimeter aperture at the entrance …

Factors Affecting The Evolution Of Inclusion Populations During Steelmaking And Casting Processes, Obinna Adaba, Laura Bartlett, Mingzhi Xu, Ronald J. O'Malley

Materials Science and Engineering Faculty Research & Creative Works

Investigations into the evolution of inclusion populations during ladle processing and continuous casting are reviewed. Details of the steelmaking practices employed in BOP and EAF steelmaking have been observed to have a strong influence on the size distribution, quantity, composition, phases and morphology of the final inclusion population delivered to the caster. Examples of the effects of different processing paths on the evolution of inclusion populations are presented. The importance of preexisting inclusion populations on the formation and removal of new inclusion populations is also reviewed and discussed.

Exploring Foot And Ankle Impairments Affecting Mobility And Balance In Stroke (Faimis Study), Tr Gorst, J Freeman, J Marsden, J Paton, M Cramp, A Rogers, S Morisson

School of Health Professions

No abstract provided.

Why Publishing Open Access, Michael Ladisch

Pacific Libraries Workshops

The benefits of Open Access publishing will be explained in this talk. The presenters will clarify the difference between Gold and Green OA, discuss funder requirements, and highlight our institutional repository.

• De-mystifying Open Access Benefits
• Funders requirement
• Gold vs. Green OA
• OA journals
• Open Data
• Institutional Repository

4th International Conference On Events (Ice) Conference Proceedings, Mathilda Van Niekerk, Ubaldino (Dino) Couto

4th International Conference on Events (ICE) 2017

Please feel free to download this copy of the Conference Proceedings.

Adjusting User Nameplates In Online Conversations, Justin Lewis, Ruxandra Davies

Defensive Publications Series

Disclosed herein is a mechanism for adjusting user nameplates in online conversations. The mechanism can include determining that a user that is not registered with a service has been invited by a registered user to participate in an online conversation. In response to determining that the unregistered user transmits a request to post a message to the online conversation, the mechanism can transmit a registration request to provide user account information. In turn, the mechanism can generate a user pseudonym or adjusted nameplate that replaces the previous nameplate used in the online conversation, where the user pseudonym can incorporate previous …

Using Imagery Of Lawns To Estimate Lawn Care Need, Charles Armstrong

Defensive Publications Series

Generally, the present disclosure is directed to identifying properties whose owners are likely to be receptive to lawn care services. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict that a property exhibits a need for lawn care disproportional to surrounding properties and/or has an owner or owners with the financial capability to afford lawn care services based on imagery and/or real estate information for the property and/or surrounding properties.

Using Imagery Of Property Improvements To Direct Marketing, Charles Armstrong

Defensive Publications Series

Generally, the present disclosure is directed to using imagery of properties containing property improvements to direct advertising for such improvements. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict that a property has a property improvement based on imagery of the property.

Generating Punctuation For Spoken Text, Sourish Chaudhuri, Andrew Gallagher

Defensive Publications Series

Generally, the present disclosure is directed to generating punctuation for spoken text from a speech-to-text system. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to generate punctuation data for spoken text based on speech data for the spoken text

Anticipatory Product Development Using Design Suggestions, Nicole Gibson, Kevin D. Brune

Defensive Publications Series

Generally, the present disclosure is directed to determining an optimal solution for building and/or designing a multi-dimensional product. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an optimal design solution for building and/or designing a product based on design characteristics and information relating to existing designs.

Compressed Sensing For Monitoring Of An Application, Roberto Lupi

Defensive Publications Series

Generally, the present disclosure is directed to monitoring behavior of an application or other computing system or computing task. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict behavior of an application or other computing system or computing task based on monitoring data.

Machine-Learned Wireless Propagation Model, Yi-Fan Chen, Georgios Roumpos, Boon-Lock Yeo, Peter Yung Sen Chen

Defensive Publications Series

Generally, the present disclosure is directed to predicting wireless propagation in an area and/or at a wavelength. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict propagation data (e.g. radio signal attenuation and/or Bit Error Rate (BER)) based on connection data and terrain data.

Determining Optimal Wireless Propagation Model For A Region And Wavelength, Yi-Fan Chen, Georgios Roumpos, Boon-Lock Yeo, Peter Yung Sen Chen

Defensive Publications Series

Generally, the present disclosure is directed to determining an optimal wireless propagation model for a given region and wavelength. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an optimal wireless propagation model for a region based on terrain data for the region.

Intelligent Ordering Of Repeated Fields, Gang Wang, Haskell Garon

Defensive Publications Series

Generally, the present disclosure is directed to choosing an optimal order for options within a repeated field. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an optimal order for options within a repeated field based on interaction data with the repeated field.

Identifying Sources Of A Change In Metrics Of A Stack Of Servers, Kyle Loveless

Defensive Publications Series

Generally, the present disclosure is directed to identifying a source of a change in one or more metrics of one or more servers. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict contribution from a component within a stack of one or more servers based on one or more states of the component.

Automatically Scaling Multi-Tenant Machine Learning, Steven J. Ross, Christopher Olston, Noah Fiedel

Defensive Publications Series

Generally, the present disclosure is directed to optimizing use of computing resources in a system. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict task allocation for a job serving a plurality of machine-learned models based on current system state and queries per second (QPS) data for the plurality of models. Alternatively, the tasks can be allocated according to one or more rules (e.g., a new task is allocated to a job until the compute usage for the job falls below a scaling threshold). …

Legal Precedent Mining With Machine Learning, Alexandros Salazar

Defensive Publications Series

Generally, the present disclosure is directed to gathering legal precedent from a corpus of law. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict decision data from a court decision based on the court decision (e.g., a textual copy of the court decision).

Determining Validity Of A Point Of Interest Based On Existing Data, Melanie L. Donny-Clark, Jingyu Zhou, Shuang Qu

Defensive Publications Series

Generally, the present disclosure is directed to determining whether or not a point of interest is valid based on existing data. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a likelihood of a point of interest being valid based on ‘clues’ gathered from existing data.

Extracting Point Of Interest Information From Query Logs, Melanie L. Donny-Clark, Jing Dai

Defensive Publications Series

Generally, the present disclosure is directed to extracting information about a point of interest from one or more query logs. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict local intent for a query based on content of the query.

Correcting Image Anomalies Using Machine Learning, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to correcting anomalies in an image. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to correct one or more anomalies in an image based on image data from an image.

Fitness Program For User-Defined Goals, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to a fitness program tailored to a user. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to generate a goal-oriented fitness program to a user based on user physiological and or fitness data.

User Interface And Application Programming Interface For Explaining Personalized Machine-Learned Model Outputs, N/A

Defensive Publications Series

Generally, the present disclosure is directed to systems and methods that enable explanation of personalized machine-learned model outputs. For example, the systems and methods of the present disclosure can include or leverage a user interface and/or an application programming interface (API) to enable explanation of model outputs. According to one aspect, the present disclosure provides a principled way of discovering which actions or range of actions that the user took contributed to a particular output that the model predicted at later time. This allows, for example, an application that employs the personalized model to describe to the user which actions …

Evaluate Presentation, Wendy Kozlowski, Heidi Imker

IASSIST & DCN - Data Curation Workshop

The Evaluate step to curate research data is explained in this presentation.

Providing Reader Assistance Based On Reader Interaction, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to assisting users of an electronic document. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to provide assistance for one or more content items in an electronic document to a user of the electronic document based on the user’s interaction with the electronic document.

Machine Learning To Predict Advertisement Targeting Solutions, Zachary Garrett

Defensive Publications Series

Generally, the present disclosure is directed to using machine learning to predict advertisement targeting solutions. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict optimal advertisement target solutions such as, for example, keyword word sets, negative word sets, location restrictions, bid adjustments, and/or schedules based on product data such as, for example, advertisement content (e.g., ad creatives text), seed keywords, images of the product, and/or advertiser metadata.