Digital Commons Network^™

Biological Sciences, B.A. Baccalaureate Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Biological Sciences, B.A. Baccalaureate Degree program for the 2022-2023 academic year.

Biological Sciences Master's Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Biological Sciences Master's Degree program for the 2022-2023 academic year.

Chemistry, B.S. Baccalaureate Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Chemistry, B.S. Baccalaureate Degree program for the 2022-2023 academic year.

Earth And Environmental Sciences, B.A. Baccalaureate Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Earth and Environmental Sciences, B.A. Baccalaureate Degree program for the 2022-2023 academic year.

Physics Master's Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Physics Master's Degree program for the 2022-2023 academic year.

Physiology And Neuroscience Baccalaureate Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Physiology and Neuroscience Baccalaureate Degree program for the 2022-2023 academic year.

Human Factors/Industrial Psychology Master's Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Human Factors/Industrial Psychology Master's Degree program for the 2022-2023 academic year.

Mathematics, B.A. Baccalaureate Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Mathematics, B.A. Baccalaureate Degree program for the 2022-2023 academic year.

Physiology And Neuroscience Master's Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Physiology and Neuroscience Master's Degree program for the 2022-2023 academic year.

Mathematics, B.S. Baccalaureate Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Mathematics, B.S. Baccalaureate Degree program for the 2022-2023 academic year.

Psychology, B.A. Baccalaureate Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Psychology, B.A. Baccalaureate Degree program for the 2022-2023 academic year.

Physics And Math Dual Baccalaureate Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Physics and Math Dual Baccalaureate Degree program for the 2022-2023 academic year.

Physics Master's Of Science In Teaching Degree Annual Program Outcomes Assessments, 2022-23, College Of Science And Mathematics, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Physics Master's of Science in Teaching Degree program for the 2022-2023 academic year.

Business Economics Baccalaureate Degree Annual Program Outcomes Assessments, 2022-23, Raj Soin College Of Business, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Business Economics Baccalaureate Degree program for the 2022-2023 academic year.

Economics Baccalaureate Degree Annual Program Outcomes Assessments, 2022-23, Raj Soin College Of Business, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Economics Baccalaureate Degree program for the 2022-2023 academic year.

Social And Applied Economics Master's Degree Annual Program Outcomes Assessments, 2022-23, Raj Soin College Of Business, Wright State University

Annual Program Outcomes Assessments - All

This report reviews Wright State University's Social and Applied Economics Master's Degree program for the 2022-2023 academic year.

Code Execution Capability As A Metric For Machine Learning–Assisted Software Vulnerability Detection Models, Daniel Grahn, Lingwei Chen, Junjie Zhang

Computer Science and Engineering Faculty Publications

In this paper, we consider how the ability to learn Code Execution Tasks affects a model’s accuracy on software vulnerability detection (SVD) benchmark datasets. We initially find that models can achieve near state-of-the-art accuracy on SVD benchmarks regardless of their ability to learn Code Execution Tasks. However, these models fail to generalize well across SVD benchmarks. The results indicate a bias in the datasets that allows models to predict non- SVD signals. Under the theory that different collection methods will reduce biases, we investigate combining the SVD datasets. When trained on combined datasets, SVD accuracy is reduced but correlation with …

A Pattern For Representing Scientific Taxonomies, Shirly Stephen, Cogan Shimizu, Mark Schildhauer, Rui Zhu, Krzysztof Janowicz, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Standard taxonomies that are meant to serve as reference specifications of specific scientific domains are developed through extensive review by scientists and experts. For data integration and interoperability needs within Knowledge Graphs (KGs), these taxonomies must be translated into formal ontologies. In this paper we present an ontology design pattern for modeling a scientific taxonomy as an ontology. The focus of the pattern is to 1) capture temporal dynamics of concepts as taxonomies evolve, 2) model the provenance of concepts to add context and enable governance, 3) assist the translation of taxonomic relations to ontological relations appropriately that will empower …

The Expertise Ontology: Modeling Expertise In The Context Of Emergency Management, Shirly Stephen, Mark Schildhauer, Ling Cai, Yuanyuan Tian, Kitty Currier, Cogan Shimizu, Krzysztof Janowicz, Pascal Hitzler, Anna Lopez-Carr, Andrew Schroeder, Zilong Liu, Rui Zhu, Dean Rehberger, Colby K. Fisher, Gengchen Mai

Computer Science and Engineering Faculty Publications

It is crucial for emergency management organizations to have rapid access to relevant experts who can advise and assist following a disaster. To improve expert-mining and recommendation capabilities, creating a knowledge graph that links experts to their corresponding topics of expertise and other sources of relevant information is a natural choice to capture an integrated network of people and a rich taxonomy of expertise. In this paper, we present an ontology for modeling experts, their expertise topics and relations between them, and their spatiotemporal scoping. We go on to discuss the primary conceptual components and how they can be instantiated, …

Social And Environmental Factors Impact On Reading Performance In Illinois In 2020, Gisella Drouet

Scholarship in Medicine - All Papers

Objective: Reading scores, such as average literacy grade level are often used as a variable for academic success. It has been found that third grade students reading at grade level are less likely to drop out of high school. The objective of the project is to investigate average reading performance and its implications on English fluency, high school graduation and various social factors.

Methods : Social factors analyzed in this study were single-parent household, residential segregation and severe housing conditions. Illinois data analyzed was from County Health Rankings website ( https://www.countyhealthrankings.org/app/illinois/2020/measure/outcomes/1/map). This study analyzed the change in 2020 reading performance …

Festival Of Research Abstracts, 2023, College Of Science And Mathematics, Wright State University

Festival of Research

The collection of abstracts accepted for the 2023 Festival of Research hosted by the Wright State University College of Science and Mathematics.

Brain Morphometry From Neuroimaging As A Biomarker For Alzheimer's Disease, Nonyelum Benedicta Aniebo

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Alzheimer’s disease (AD) is the seventh leading cause of death globally with an estimated 6.5 million Americans aged 65 and above living with Alzheimer’s dementia in 2022 and at a projected national cost of $321 billion. AD is characterized by a progressive and irreversible neurodegenerative dysfunction with clinical symptoms such as deterioration in cognition and memory loss. The Alzheimer’s Disease Neuroimaging Initiative (ADNI) is a multi-site, public-private global research initiative that supports both investigation and development of treatments that slow or terminate AD progression. The study included 60 participants, comprising 30 AD and 30 control cohorts respectively. All participants were …

Teaching Physics While Female : A Phenomenological Study Of Female High School Physics Teachers, Hope Strickland

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The lived experiences of female high school physics teachers were researched in this study with the aim of gaining a better understanding of their decisions to remain in the classroom or to leave the teaching profession. To allow the participants to describe their background and teaching experiences, as well as the meaning they found in them, a transcendental phenomenological approach was used during this research. To create a richer representation of the phenomenon, fourteen women ranging from 0-31 years of experience teaching high school physics were interviewed for this study. The data from the interviews was analyzed through the lens …

Accelerating Precision Station Keeping For Automated Aircraft, James D. Anderson

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Automated vehicles pose challenges in various research domains, including robotics, machine learning, computer vision, public safety, system certification, and beyond. These vehicles autonomously handle navigation and locomotion, often requiring minimal user interaction, and can operate on land, in water, or in the air. In the context of aircraft, one specific application is Automated Aerial Refueling (AAR). Traditional aerial refueling involves a "tanker" aircraft using a mechanism, such as a rigid boom arm or a flexible hose, to transfer fuel to another aircraft designated as the "receiver". For AAR, the boom arm may be maneuvered automatically, or in certain instances the …

Odd Solutions To Systems Of Inequalities Coming From Regular Chain Groups, Daniel Slilaty

Mathematics and Statistics Faculty Publications

Hoffman’s theorem on feasible circulations and Ghouila-Houry’s theorem on feasible tensions are classical results of graph theory. Camion generalized these results to systems of inequalities over regular chain groups. An analogue of Camion’s result is proved in which solutions can be forced to be odd valued. The obtained result also generalizes the results of Pretzel and Youngs as well as Slilaty. It is also shown how Ghouila-Houry’s result can be used to give a new proof of the graph- coloring theorem of Minty and Vitaver.

Comparative Adjudication Of Noisy And Subjective Data Annotation Disagreements For Deep Learning, Scott David Williams

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Obtaining accurate inferences from deep neural networks is difficult when models are trained on instances with conflicting labels. Algorithmic recognition of online hate speech illustrates this. No human annotator is perfectly reliable, so multiple annotators evaluate and label online posts in a corpus. Labeling scheme limitations, differences in annotators' beliefs, and limits to annotators' honesty and carefulness cause some labels to disagree. Consequently, decisive and accurate inferences become less likely. Some practical applications such as social research can tolerate some indecisiveness. However, an online platform using an indecisive classifier for automated content moderation could create more problems than it solves. …

Enhancing Graph Convolutional Network With Label Propagation And Residual For Malware Detection, Aravinda Sai Gundubogula

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Malware detection is a critical task in ensuring the security of computer systems. Due to a surge in malware and the malware program sophistication, machine learning methods have been developed to perform such a task with great success. To further learn structural semantics, Graph Neural Networks abbreviated as GNNs have emerged as a recent practice for malware detection by modeling the relationships between various components of a program as a graph, which deliver promising detection performance improvement. However, this line of research attends to individual programs while overlooking program interactions; also, these GNNs tend to perform feature aggregation from neighbors …

Effective Systems For Insider Threat Detection, Muhanned Qasim Jabbar Alslaiman

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Insider threats to information security have become a burden for organizations. Understanding insider activities leads to an effective improvement in identifying insider attacks and limits their threats. This dissertation presents three systems to detect insider threats effectively. The aim is to reduce the false negative rate (FNR), provide better dataset use, and reduce dimensionality and zero padding effects. The systems developed utilize deep learning techniques and are evaluated using the CERT 4.2 dataset. The dataset is analyzed and reformed so that each row represents a variable length sample of user activities. Two data representations are implemented to model extracted features …

Fuzzing Php Interpreters By Automatically Generating Samples, Jacob S. Baumgarte

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Modern web development has grown increasingly reliant on scripting languages such as PHP. The complexities of an interpreted language means it is very difficult to account for every use case as unusual interactions can cause unintended side effects. Automatically generating test input to detect bugs or fuzzing, has proven to be an effective technique for JavaScript engines. By extending this concept to PHP, existing vulnerabilities that have since gone undetected can be brought to light. While PHP fuzzers exist, they are limited to testing a small quantity of test seeds per second. In this thesis, we propose a solution for …

Modeling, Simulation, And Hardware Testing Of A Noise-Canceller Adc Architecture, Ethan R. Rando

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Analog-to-Digital Converters (ADCs) are essential elements of most complex electronic devices. ADCs allow for an analog signal to be converted into the digital domain, and thus interpreted by a digital circuit or model. While ADCs are extremely common, they are not immune from common tradeoffs when being designed and implemented. The most prominent tradeoff when selecting or designing an ADC is whether to pursue a high conversion rate or a high resolution on the digital output. There are some ADC designs that allow for relatively high resolution while maintaining a respectable conversion rate, however these designs often come at the …