Social and Behavioral Sciences Commons^™

Criticism Press Release, Paul Leonard, Dayton Together

Records of Dayton Together (MS-603)

Press release in which Co-Chair of Dayton Together Charter Development Committee, Paul Leonard, responds to criticism of government modernization project.

Possible 10-District Plan With One At-Large Montgomery County, Ohio, Northern Ohio Data And Information Service

Records of Dayton Together (MS-603)

Map of Montgomery County, Ohio depicting possible 10-district plan.

Intent Classification Of Short-Text On Social Media, Hemant Purohit, Guozhu Dong, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

Social media platforms facilitate the emergence of citizen communities that discuss real-world events. Their content reflects a variety of intent ranging from social good (e.g., volunteering to help) to commercial interest (e.g., criticizing product features). Hence, mining intent from social data can aid in filtering social media to support organizations, such as an emergency management unit for resource planning. However, effective intent mining is inherently challenging due to ambiguity in interpretation, and sparsity of relevant behaviors in social data. In this paper, we address the problem of multiclass classification of intent with a use-case of social data generated during crisis …

Draft Charter Of Montgomery County, Ohio And The Dayton-Montgomery County Metro Government - Draft 5, Dayton Together

Records of Dayton Together (MS-603)

The following materials have been prepared for consideration by the Charter Advisory Committee at the request of Dayton Together, a non-profit corporation led by community members and current and former governmental officials.

Reap What You Sow: Connecting Library Service Data To University Learning Outcomes, Mandy Shannon, Sue Polanka, Jason Lipiec

University Libraries' Staff Publications

Discover an innovative homegrown product for recording all reference, instruction, and collegial activities. This tool maps activities to university learning outcomes and generates reports to communicate the library’s value to campus stakeholders. Learn about how this product was developed, its use, and how one department has responded to it.

Right Flier: Newsletter Of The Aaup-Wsu Volume 16, Number 2, 2015-2016, American Association Of University Professors-Wright State University

The Right Flier Newsletter

A three page newsletter created by the Wright State University chapter of the American Association of University Professors.This issue features one major article -- it's about merging two bargaining units into one -- plus a reminder that all BUFMs must visit the Human Resources web site before November 13, 2015 to select health insurance coverage -- even no coverage -- for 2016, or face a financial penalty.

Right Flier: Newsletter Of The Aaup-Wsu Volume 16, Number 3, 2015-2016, American Association Of University Professors-Wright State University

The Right Flier Newsletter

A three page newsletter created by the Wright State University chapter of the American Association of University Professors.This issue describes proposed amendments to the current Chapter Constitution and Bylaws. The proposed amendments can be viewed in the attached file, in which the proposed changes are shown relative to the current Chapter Constitution and Bylaws.

Right Flier: Newsletter Of The Aaup-Wsu Volume 16, Number 1, 2015-2016, American Association Of University Professors-Wright State University

The Right Flier Newsletter

A five page newsletter created by the Wright State University chapter of the American Association of University Professors. This five-page issue is dedicated to a single topic, namely the article "Merit Pay and Minimum Salaries at WSU".

Implicit Information Extraction From Clinical Notes, Sujan Perera

Kno.e.sis Publications

We address the problem of extracting implicit information from the unstructured clinical notes. Here we introduce the problem of 'implicit entity recognition in clinical notes', propose a knowledge driven approach to address this problem and demonstrate the results of our initial experiments.

Feedback-Driven Radiology Exam Report Retrieval With Semantics, Sarasi Lalithsena, Luis Tari, Anna Von Reden, Benjamin Wilson, Brian J. Kolowitz, John Kalafut, Steven Gustafson, Amit P. Sheth

Kno.e.sis Publications

Clinical documents are vital resources for radiologists to have a better understanding of patient history. The use of clinical documents can complement the often brief reasons for exams that are provided by physicians in order to perform more informed diagnoses. With the large number of study exams that radiologists have to perform on a daily basis, it becomes too time-consuming for radiologists to sift through each patient's clinical documents. It is therefore important to provide a capability that can present contextually relevant clinical documents, and at the same time satisfy the diverse information needs among radiologists from different specialties. In …

Possible 11 District Plan Montgomery County, Ohio, Northern Ohio Data And Information Service

Records of Dayton Together (MS-603)

Map of Montgomery County, Ohio depicting possible 11-district plan.

Social Health Signals, Ashutosh Sopan Jadhav, Swapnil Soni, Amit P. Sheth

Kno.e.sis Publications

Recently Twitter, has emerged as one of the primary medium for sharing and seeking of the latest information related to variety of the topics including health information. Recently, Twitter has emerged as one of the primary mediums for sharing and seeking the latest information related to a variety of topics, including health information. Although Twitter is an excellent information source, identification of useful information from the deluge of tweets is one of the major challenge. Twitter search is limited to keyword based techniques to retrieve information for a given query and sometimes the results do not contain real-time information. Moreover, …

Ezdi's Semantics-Enhanced Linguistic, Nlp, And Ml Approach For Health Informatics, Raxit Goswami, Neil Shah, Amit P. Sheth

Kno.e.sis Publications

ezDI uses large and extensive knowledge graph to enhance linguistics, NLP and ML techniques to improve structured data extraction from millions of EMR records. It then normalizes it, and maps it with various computer-processable nomenclature such as SNOMED-CT, RxNorm, ICD-9, ICD-10, CPT, and LOINC. Furthermore, it applies advanced reasoning that exploited domain-specific and hierarchical relationships among entities in the knowledge graph to make the data actionable. These capabilities are part of its highly scalable AWS deployed heath intelligence platform that support healthcare informatics applications, including Computer Assisted Coding (CAC), Computerized Document Improvement (CDI), compliance and audit, and core measures and …

Making Statistics Work For You, Leigh Ann Duncan, Andrea Christman

University Libraries' Staff Publications

Statistics and reporting capabilities within the Sierra/Millennium system are very versatile and scalable; used properly they can be helpful on small clean-up projects or integral to campus-wide initiatives on student data gathering. We will explain the options for statistics and reporting and detail how our campuses are using them for the following projects: collection development, database clean-up, circulation analysis, and student data initiatives.

Modeling Trust Dynamics In Strategic Interaction, Ion Juvina, Christian Lebiere, Cleotilde Gonzalez

Psychology Faculty Publications

We present a computational cognitive model that explains transfer of learning across two games of strategic interaction – Prisoner's Dilemma and Chicken. We summarize prior research showing that, when these games are played in sequence, the experience acquired in the first game influences the players’ behavior in the second game. The same model accounts for human data in both games. The model explains transfer effects with the aid of a trust mechanism that determines how rewards change depending on the dynamics of the interaction between players. We conclude that factors pertaining to the game or the individual are insufficient to …

Automatic Emotion Identification From Text, Wenbo Wang

Kno.e.sis Publications

Emotions are both prevalent in and essential to most aspects of our lives. They in- fluence our decision-making, affect our social relationships and shape our daily behavior. With the rapid growth of emotion-rich textual content, such as microblog posts, blog posts, and forum discussions, there is a growing need to develop algorithms and techniques for identifying people’s emotions expressed in text. It has valuable implications for the studies of suicide prevention, employee productivity, well-being of people, customer relationship management, etc. However, emotion identification is quite challenging partly due to the following reasons: i) It is a multi-class classification problem that …

Dayton Together Presentation To Naiop, Dayton Together

Records of Dayton Together (MS-603)

Presentation slides on merging the CIty of Dayton and Montgomery County into one unit of government for economic competitiveness. The presentation was given to the NAIOP, commercial real-estate development association.

Exploratory Study On The Effects Of Participation In A Recovery Mall At State-Operated Behavioral Healthcare Inpatient Hospital, Cheryl L. Meyer, Betty Yung, Cindy Sieck, Elizabeth Ellington

School of Professional Psychology Faculty Publications

We proposed an exploratory study on the effects of participation in a treatment mall. We interviewed currently enrolled patients at the Recovery Mall at a state-operated behavioral healthcare hospital in Ohio. Treatment malls are an increasingly popular approach to rehabilitation of inpatient populations (Webster & Harmon, 2006). The popularity of the approach is based on the theory that empowerment of the consumer to participate in decision-making will aid in restoring functioning and return to community living (Rahe, 2001). Treatment malls offer multiple simultaneous therapeutic activities, allow the involvement of consumers in making choices about their treatment plans and their daily …

Driving The Bus: Building Use Study And Space Assessment At Wright State University Libraries, Mandy Shannon, Sue Polanka, Bette S. Sydelko

University Libraries' Staff Publications

In response to the library’s strategic plan, the Wright State University Dunbar Library is in the midst of a long-term, multi-modal building use study. In the spring of 2015, the library’s assessment team used a combination of an open-source tablet-based software program, photographs, questionnaires, and preference-based voting to capture information about physical space use, building user perceptions, and user needs.

In the second phase of this building use study, librarians are working in collaboration with the Office of Institutional Research to develop two needs-assessment surveys based on the responses in the first phase. One survey will be distributed to students; …

Mark Owens Letter To Dan Foley, Mark E. Owens

Records of Dayton Together (MS-603)

Letter to Montgomery County Commissioner Dan Foley, from Mark Owens, Chair of the Montgomery County Democratic Party, in which Owens expresses his and others' concerns about the proposed changes to Dayton and Montgomery County, Ohio's government structure.

Exploring The Racial Divide In Education And The Labor Market Through Evidence From Interracial Families, Peter Arcidiacono, Andrew Beauchamp, Marie Hull, Seth Sanders

Economics Faculty Publications

We examine gaps between minorities and whites in education and labor market outcomes, controlling for many covariates including maternal race. Identification comes from different reported races within the family. Estimates show two distinct patterns. First, there are no significant differences in outcomes between black and white males with white mothers. Second, large differences persist between these groups and black males with black mothers. The patterns are insensitive to alternative measures of own race and school fixed effects. Our results suggest that discrimination is not occurring on the basis of child skin color but through mother-child channels such as dialect or …

Preservation Perspectives: Connecting The Next Generation To The Past, Bill Stolz

University Libraries' Staff Publications

A personal narrative is presented which explores the author's experience of being a librarian dealing on topics including presidential museum and tomb of U.S. President Abraham Lincoln, World War II and historical sites in Kentucky.

Preservation Perspectives: Caring For Family Papers, Bill Stolz

University Libraries' Staff Publications

The article offers tips to protect, preserve and prolong the life of family papers. It suggests to make an inventory of the items, whether business records, order books, diaries and letters. It recommends to thoroughly examine the material and prioritize items by the condition, where deteriorating or damaged items need to be taken to a conservator for advice and stabilization's estimate.

Domain Specific Document Retrieval Framework For Real-Time Social Health Data, Swapnil Soni

Kno.e.sis Publications

With the advent of the web search and microblogging, the percentage of Online Health Information Seekers (OHIS) using these online services to share and seek health real-time information has in- creased exponentially. OHIS use web search engines or microblogging search services to seek out latest, relevant as well as reliable health in- formation. When OHIS turn to microblogging search services to search real-time content, trends and breaking news, etc. the search results are not promising. Two major challenges exist in the current microblogging search engines are keyword based techniques and results do not contain real-time information. To address these challenges, …

Evaluating A Potential Commercial Tool For Healthcare Application For People With Dementia, Tanvi Banerjee, Pramod Anantharam, William L. Romine, Larry Wayne Lawhorne

Kno.e.sis Publications

The widespread use of smartphones and sensors has made physiology, environment, and public health notifications amenable to continuous monitoring. Personalized digital health and patient empowerment can become a reality only if the complex multisensory and multimodal data is processed within the patient context, converting relevant medical knowledge into actionable information for better and timely decisions. We apply these principles in the healthcare domain of dementia. Specifically, in this study we validate one of our sensor platforms to ascertain whether it will be suitable for detecting physiological changes that may help us detect changes in people with dementia. This study shows …

Scalable Euclidean Embedding For Big Data, Zohreh S. Alavi, Sagar Sharma, Lu Zhou, Keke Chen

Kno.e.sis Publications

Euclidean embedding algorithms transform data defined in an arbitrary metric space to the Euclidean space, which is critical to many visualization techniques. At big-data scale, these algorithms need to be scalable to massive dataparallel infrastructures. Designing such scalable algorithms and understanding the factors affecting the algorithms are important research problems for visually analyzing big data. We propose a framework that extends the existing Euclidean embedding algorithms to scalable ones. Specifically, it decomposes an existing algorithm into naturally parallel components and non-parallelizable components. Then, data parallel implementations such as MapReduce and data reduction techniques are applied to the two categories of …

The 24th Annual Research Conference Abstract Booklet, University Of Gondar, Ethiopia

University of Gondar Research Conferences

The 25th Annual Staff-Student Research Conference of the University of Gondar will be held on June 19 and 20, 2015 at the Science Amba Auditorium. This year's conference is special in that the year marks the Silver Jubilee of the Annual Staff and Student Research Conference. Drawing on the experiences we have accumulated for the past 25 years, we vow to strive to realize the development and transformation of the country through research and community services.

Staff, postgraduate and senior undergraduate students of the University, invited guests, and speakers will participate in the conference. The annual conference of the University …

"Time For Dabs": Analyzing Twitter Data On Butane Hash Oil Use, Raminta Daniulaityte, Robert G. Carlson, Farahnaz Golroo, Sanjaya Wijeratne, Edward W. Boyer, Silvia S. Martins, Ramzi W. Nahhas, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Trust Management: Multimodal Data Perspective, Krishnaprasad Thirunarayan

Kno.e.sis Publications

No abstract provided.

Entity Recommendations Using Hierarchical Knowledge Bases, Siva Kumar Cheekula, Pavan Kapanipathi, Derek Doran, Prateek Jain, Amit P. Sheth

Kno.e.sis Publications

Recent developments in recommendation algorithms have focused on integrating Linked Open Data to augment traditional algorithms with background knowledge. These developments recognize that the integration of Linked Open Data may or better performance, particularly in cold start cases. In this paper, we explore if and how a specific type of Linked Open Data, namely hierarchical knowledge, may be utilized for recommendation systems. We propose a content-based recommendation approaches that adapts a spreading activation algorithm over the DBpedia category structure to identify entities of interest to the user. Evaluation of the algorithm over the Movielens dataset demonstrates that our method yields …