Physical Sciences and Mathematics Commons^™

Khealth Bariatrics: A Multisensory Approach To Monitoring Patient’S Postsurgical Behavior, Revathy Venkataramanan, Utkarshani Jaimini, Amit Sheth, Joon K. Shim, Priti Parikh, Dene S. Berman

Symposium of Student Research, Scholarship, and Creative Activities Materials

The rate of obesity is on the rise reaching epidemic proportions. According to American Society for Metabolic and Bariatric Surgery (ASMBS), 500 million people all over the world are obese. The data from Centers for Disease Control and Prevention(CDC) shows that more than 36% of adults in the United States have obesity. According to World Health Organization (WHO), 65% of the world’s population lives in countries where the occurrence of death due to overweight and obesity is higher than being underweight. It is well established that weight loss surgery can play a significant role in reducing, or even eliminating medical …

Measuring Gender-Based Violence Attitude On Twitter, Goonmeet Bajaj, Tanvi Banerjee, Amir Hossein Yazdavar, Valerie L. Shalin, Amit Sheth

Symposium of Student Research, Scholarship, and Creative Activities Materials

This study examines social media to analyze communication patterns, specifically in the Gender-Based Violence domain. It explores the pragmatic content of tweets to categorize them into one of the following groups: Belief, Fact Reporting, or Other to determine the tweeting practices prevalent in this domain.

Legalization Of Gay Marriage And Its Impact On Military Stereotypes Of Homosexuals, Jasmine Moore

Symposium of Student Research, Scholarship, and Creative Activities Materials

Homosexuality has become a popular research topic in a variety of professional fields, and over the last decade has become a priority for the military. Since the implementation of the law repealing Don't Ask Don't Tell (DADT) researchers have questioned what effects repealing this law has had on the military as a whole. Particular attention has been spent on studying the attitudes and stereotypes about homosexuals after DADT was repealed. However, there is a lack of research examining how marriage equality affects society's stereotypes about homosexuals serving in the United States military.

It was hypothesized that participants that have personal …

Wright State University's Celebration Of Research, Scholarship And Creative Activities Book Of Abstracts From Friday, April 21, 2017, Wright State University

Symposium of Student Research, Scholarship, and Creative Activities Materials

The student abstract booklet is a compilation of abstracts from students' oral and poster presentations at Wright State University's Annual Celebration of Research, Scholarship and Creative Activities on April 21, 2017.

Treating Chronic Post Herpetic Neuralgia Using Topical Superconcentrated Capsaicin, Jaree Naqvi, Scott Seider, Jason Miller, Cole Budinsky, Amol Soin

Symposium of Student Research, Scholarship, and Creative Activities Materials

Post Herpetic Neuralgia (PHN) is a painful condition that occurs after reactivation of the dormant Herpes Zoster Virus.Typically PHN presents with a unilateral rash affecting a single dermatome which is accompanied by burning, irritation, and hypersensitivity for >3 months.Current treatment includes anticonvulsants, tricyclic antidepressants, narcotic/nonnarcotic painkillers, and topical lidocaine.

We propose the utilization of a superconcentrated transdermal patch of capsaicin called Qutenza 8%, which is 300 times more potent than current OTC capsaicin. The treatment protocol using Qutenza to treat refractory PHN proposes a novel approach to the treatment of this condition.

Capsaicin is commonly known as the active chemical …

Social Workers’ Salaries Vs. Educational Student Debt Burden: A Losing Battle, Michael Wadham

Symposium of Student Research, Scholarship, and Creative Activities Materials

College tuitions rise at disparate rates with starting salaries and inflation, causing student debt to weigh on social work graduates. Data was collected from 701 social workers in an NASW - Ohio Chapter survey to investigate this disparity and its consequences. The purpose of this study was to analyze the qualitative data set, 174 written comments, for themes and perceptions. The following themes, echoed in current research on the topics of social work salary and student debt burden, were identified: unmanageable debt and financial burden, varying lengths of time and repayment methods, social workers feeling undervalued and underpaid, loan forgiveness …

Eassistant: Cognitive Assistance For Identification And Auto-Triage Of Actionable Conversations, Hamid R. Motahari Nezhad, Kalpa Gunaratna, Juan Cappi

Kno.e.sis Publications

The browser and screen have been the main user interfaces of the Web and mobile apps. The notification mechanism is an evolution in the user interaction paradigm by keeping users updated without checking applications. Conversational agents are posed to be the next revolution in user interaction paradigms. However, without intelligence on the triage of content served by the interaction and content differentiation in applications, interaction paradigms may still place the burden of information overload on users. In this paper, we focus on the problem of intelligent identification of actionable information in the content served by applications, and in particular in …

What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, And Prevention, Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William L. Romine, Amit Sheth

Kno.e.sis Publications

Background: In order to harness what people are tweeting about Zika, there needs to be a computational framework that leverages machine learning techniques to recognize relevant Zika tweets and, further, categorize these into disease-specific categories to address specific societal concerns related to the prevention, transmission, symptoms, and treatment of Zika virus.

Objective: The purpose of this study was to determine the relevancy of the tweets and what people were tweeting about the 4 disease characteristics of Zika: symptoms, transmission, prevention, and treatment.

Methods: A combination of natural language processing and machine learning techniques was used to determine what people were …

Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth

Kno.e.sis Publications

Depression is a highly prevalent public health challenge and a major cause of disability across the globe.

• Annually 6.7% of Americans (that is, more than 16 million).
• Traditional approaches to curb depression involve survey·based methods via phone or online questionnaires.
• Large temporal gaps and cognitive bias.

Social media provides a method for learning users' feelings, emotions, behaviors, and decisions in real-time.

A Novel Approach For Classifying Gene Expression Data Using Topic Modeling, Soon Jye Kho, Himi Yalamanchili, Michael L. Raymer, Amit Sheth

Kno.e.sis Publications

Understanding the role of differential gene expression in cancer etiology and cellular process is a complex problem that continues to pose a challenge due to sheer number of genes and inter-related biological processes involved. In this paper, we employ an unsupervised topic model, Latent Dirichlet Allocation (LDA) to mitigate overfitting of high-dimensionality gene expression data and to facilitate understanding of the associated pathways. LDA has been recently applied for clustering and exploring genomic data but not for classification and prediction. Here, we proposed to use LDA inclustering as well as in classification of cancer and healthy tissues using lung cancer …

Road Accidents Bigdata Mining And Visualization Using Support Vector Machines, Usha Lokala, Srinivas Nowduri, Prabhakar K. Sharma

Kno.e.sis Publications

Useful information has been extracted from the road accident data in United Kingdom (UK), using data analytics method, for avoiding possible accidents in rural and urban areas. This analysis make use of several methodologies such as data integration, support vector machines (SVM), correlation machines and multinomial goodness. The entire datasets have been imported from the traffic department of UK with due permission. The information extracted from these huge datasets forms a basis for several predictions, which in turn avoid unnecessary memory lapses. Since data is expected to grow continuously over a period of time, this work primarily proposes a new …

Relatedness-Based Multi-Entity Summarization, Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng

Kno.e.sis Publications

Representing world knowledge in a machine processable format is important as entities and their descriptions have fueled tremendous growth in knowledge-rich information processing platforms, services, and systems. Prominent applications of knowledge graphs include search engines (e.g., Google Search and Microsoft Bing), email clients (e.g., Gmail), and intelligent personal assistants (e.g., Google Now, Amazon Echo, and Apple’s Siri). In this paper, we present an approach that can summarize facts about a collection of entities by analyzing their relatedness in preference to summarizing each entity in isolation. Specifically, we generate informative entity summaries by selecting: (i) inter-entity facts that are similar and …

A Semantics-Based Measure Of Emoji Similarity, Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran

Kno.e.sis Publications

Emoji have grown to become one of the most important forms of communication on the web. With its widespread use, measuring the similarity of emoji has become an important problem for contemporary text processing since it lies at the heart of sentiment analysis, search, and interface design tasks. This paper presents a comprehensive analysis of the semantic similarity of emoji through embedding models that are learned over machine-readable emoji meanings in the EmojiNet knowledge base. Using emoji descriptions, emoji sense labels and emoji sense definitions, and with different training corpora obtained from Twitter and Google News, we develop and test …

Preliminary Investigation Of Walking Motion Using A Combination Of Image And Signal Processing, Bradley Schneider, Tanvi Banerjee

Kno.e.sis Publications

We present the results of analyzing gait motion in first-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera as well as validated using the ground truth dataset. Our preliminary results indicate that the extraction of activity from the video …

Analyzing Clinical Depressive Symptoms In Twitter, Amir Hossein Yazdavar, Hussein S. Al-Olimat, Tanvi Banerjee, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

350 million people are suffering from clinical depression worldwide.

What Motivates High School Students To Take Precautions Against The Spread Of Influenza? A Data Science Approach To Latent Modeling Of Compliance With Preventative Practice, William L. Romine, Tanvi Banerjee, William R. Folk, Lloyd H. Barrow

Kno.e.sis Publications

– This study focuses on a central question: What key behavioral factors influence high school students’ compliance with preventative measures against the transmission of influenza? We use multilevel logistic regression to equate logit measures for eight precautions to students’ latent compliance levels on a common scale. Using linear regression, we explore the efficacy of knowledge of influenza, affective perceptions about influenza and its prevention, prior illness, and gender in predicting compliance. Hand washing and respiratory etiquette are the easiest precautions for students, and hand sanitizer use and keeping the hands away from the face are the most difficult. Perceptions of …

Comparing Network Centrality Measures Of Non-Traditional Students In An Introductory Physics Class, Emily N. Sandt, Adrienne L. Traxler

Symposium of Student Research, Scholarship, and Creative Activities Materials

The goal of this research was to compare different models of network influence for students. Two research questions were composed: 1. How do common centrality measures compare when ranking students' network influence? 2. Do centrality values of non-traditional students show different trend than traditional students?

Finding Specific, Topic Related Information From A Sea Of Social Media Posts, Scott J. Duberstein, Daniel Asamoah, Derek Doran, Shu Z. Schiller

Symposium of Student Research, Scholarship, and Creative Activities Materials

As social media continues to become an incredible mode of communication in daily life dealing with the exchange of information, these systems provide authors a platform where they can share their thoughts, feelings, and experiences about a number of topics. Harnessing the information expressed publicly through these modes can be incredibly powerful: public perceptions, signals, and data about a variety of specific topics could be extracted and studied from these posts. However, there is a common trade-off in collecting information about a topic from social media: the more specific the topic, generally, the more challenging it is to extract meaningful …

Investigating The After-Effects Of Stochastic Resonance For Use In Laparoscopic Surgery, Muhammad S. Hamdan, Caroline G. L. Cao

Symposium of Student Research, Scholarship, and Creative Activities Materials

Laparoscopic surgery is a modern surgical technique in which surgeons insert tools through small incisions in the abdomen to perform a surgical procedure.

Nondestructive Evaluation & Radar Imaging Using Terahertz Signals, D. Amal Mirando, Michael D. Higgins, Sonya Sokhey, Matthew Larson, Douglas T. Petkie

Symposium of Student Research, Scholarship, and Creative Activities Materials

Nondestructive imaging is a method of examining a material without direct contact that additionally does not alter the properties of the material. The terahertz imaging system currently in development uses the principle of interferometry (a Michelson Interferometer) such that frequency modulated terahertz signals are split and directed to the object under study and a reference mirror; then the detector will acquire the intensity of the combined reflected signals that contains information about the objects in the path of the beam.

Evaluation Of A Brief Marriage Intervention For Internal Behavioral Health Consultants In Military Primary Care, Ashley L. Evans, Jeffrey A. Cigrang, Tatiana D. Grey, James V. Cordova, Elizabeth Najera, Rosalyn S. Pace, Abby D. Fields, Michael A. Glotfelter, Jennifer A. Mitchell, Jolyn Tatum

Symposium of Student Research, Scholarship, and Creative Activities Materials

Military couples face significant challenges to their relationships including demanding schedules, multiple deployments, and frequent moves. Despite the high costs of chronic marital distress, very few military (or civilian) couples seek marriage therapy. The military services and the VA system have implemented collaborative care models in primary care where internal behavioral health consultants are integrated into primary care. Integrated primary care can reduce the stigma of behavioral health services and may increase the odds that couples would seek help earlier. There are no established couple interventions designed for use in primary care. The purpose of this presentation is to describe …

Synthesis Of Functionalized Peek Analogues Via “One-Pot” Synthesis, Zachary B. Ewing, Eric A. Fossum

Symposium of Student Research, Scholarship, and Creative Activities Materials

Poly(arylene ether)s, PAEs

• High performance engineering thermoplastic materials

• Excellent mechanical properties and thermal stability

• Resistant to hydrolysis and oxidation

• Many prepared via nucleophilic aromatic substitution (NAS)

• Electron withdrawing groups (EWG) typically in para positions

• PAEs can also be synthesized with an EWG in the meta positions, creating easily functionalized systems, with no change in the backbone

Wright State University's Celebration Of Research, Scholarship And Creative Activities Book Of Abstracts From Friday, April 15, 2016, Wright State University Office Of Undergraduate Research And Stemm Activities

Symposium of Student Research, Scholarship, and Creative Activities Materials

The student abstract booklet is a compilation of abstracts from students' oral and poster presentations at Wright State University's Annual Celebration of Research, Scholarship and Creative Activities on April 15, 2016.

City360: Visualizing Multimodal City Events For Decision Support, Vaikunth Sridharan, Tanvi Banerjee, Pramod Anantharam, Archana Sheshadri, Roopteja Muppalla, Amit P. Sheth, Krishnaprasad Thirunarayan

Symposium of Student Research, Scholarship, and Creative Activities Materials

Cities are increasingly outfitted with sensors for monitoring various conditions such as traffic, weather, air quality, and infrastructure related issues. Such well outfitted cities are generating massive amounts of multi-modal data leading to daunting challenges in assimilating, visualizing, and making sense of this data by city authorities and citizens. We propose City360 to address these challenges and provide decision support to city authorities and citizens. We demonstrate the utility of our system through concrete use cases for San Francisco Bay area that utilize heterogeneous data from various open city data sources.

Semantic, Cognitive, And Perceptual Computing: Paradigms That Shape Human Experience, Amit P. Sheth, Pramod Anantharam, Cory Henson

Kno.e.sis Publications

Unlike machine-centric computing, in which efficient data processing takes precedence over contextual tailoring, human-centric computation provides a personalized data interpretation that most users find highly relevant to their needs. The authors show how semantic, cognitive, and perceptual computing paradigms work together to produce actionable information.

Building The Web Of Knowledge With Smart Iot Applications, Amelie Gyrard, Pankesh Patel, Amit P. Sheth, Martin Serrano

Kno.e.sis Publications

The Internet of Things (IoT) is experiencing fast adoption because of its positive impact to change all aspects of our lives, from agriculture in rural areas, to health and wellness, to smart home and smart-x applications in cities. The development of IoT applications and deployment of smart IoT-based solutions is just starting; smart IoT applications will modify our physical world and our interaction with cyber spaces, from how we remotely control appliances at home to how we care for patients or elderly persons. The massive deployment of IoT devices represents a tremendous economic impact and at the same time offers …

A Study Of Social Web Data On Buprenorphine Abuse Using Semantic Web Technology, Raminta Daniulaityte, Amit P. Sheth

Kno.e.sis Publications

The Specific Aims of this application are to use a paradigmatic approach that combines Semantic Web technology, Natural Language Processing and Machine Learning techniques to:

1) Describe drug users’ knowledge, attitudes, and behaviors related to the non-medical use of Suboxone and Subutex as discussed on Web-based forums.
2) Identify and describe temporal patterns of non-medical use of Suboxone and Subutex as discussed on Web-based forums.

The research was carried out by an interdisciplinary team of members of the Center for Interventions, Treatment and Addictions Research (CITAR) and the Ohio Center of Excellence in Knowledge- enabled Computing (Kno.e.sis) at Wright State …

Co-Evolution Of Rdf Datasets, Sidra Faisal, Kemele M. Endris, Saeedeh Shekarpour, Sören Auer, Maria-Esther Vidal

Kno.e.sis Publications

Linking Data initiatives have fostered the publication of large number of RDF datasets in the Linked Open Data (LOD) cloud, as well as the development of query processing infrastructures to access these data in a federated fashion. However, different experimental studies have shown that availability of LOD datasets cannot be always ensured, being RDF data replication required for envisioning reliable federated query frameworks. Albeit enhancing data availability, RDF data replication requires synchronization and conflict resolution when replicas and source datasets are allowed to change data over time, i.e., co-evolution management needs to be provided to ensure consistency. In this paper, …

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 …

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.