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The Guardian, Week Of September 27, 2021, Wright State Student Body

The Guardian Student Newspaper

News articles from The Guardian for the week of September 27, 2021. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.

Faculty Senate Agenda And Minutes, September 20, 2021

Faculty Senate Minutes and Agendas

Agenda and minutes from the Wright State University Faculty Senate Meeting held on September 20, 2021

Board Of Trustees Meeting Minutes, September 17,2021

Board of Trustees Minutes

Minutes from the Wright State University Board of Trustees Meeting held on September 17, 2021

Clustering Of Pain Dynamics In Sickle Cell Disease From Sparse, Uneven Samples, Gary K. Nave Jr, Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Nirmish Shah, Daniel M. Abrams

Computer Science and Engineering Faculty Publications

Irregularly sampled time series data are common in a variety of fields. Many typical methods for drawing insight from data fail in this case. Here we attempt to generalize methods for clustering trajectories to irregularly and sparsely sampled data. We first construct synthetic data sets, then propose and assess four methods of data alignment to allow for application of spectral clustering. We also repeat the same process for real data drawn from medical records of patients with sickle cell disease -- patients whose subjective experiences of pain were tracked for several months via a mobile app. We find that different …

Abundance And Distribution Of The Forest Cockroaches In Different Algerian Ecosystems, Zakaria Hedjouli, Wafa Habbachi, Fatiha Masna, Saliha Benhissen, Sarra Habbachi, Abdelmadjid Yagoub Asloum, Abdelkrim Tahraoui

Journal of Bioresource Management

Forests have many insect species that are unique to biodiversity and play a crucial role in the functioning of ecosystems. Forest cockroaches are the best example of forest litter insects, which also help decompose fallen leaves. The composition of the Blattoptera fauna can vary from one region to another, depending on the habitat and numerous biotic and abiotic factors In order to study the diversity, abundance, and distribution of forest cockroaches in different Algeria ecosystems, we have selected four sites from three Wilayas: Senalba (Djelfa), Ain achir (Annaba), Seraidi (Annaba), and Lehnaya (El-taref). These sites are classified into two distinct …

Impact Of Wastes On Some Properties Of Soil Around An Active Dumpsite In Ibadan, Southwestern Nigeria, Oluwatoyin Opeyemi Akintola, Gabriel Oladapo Adeyemi, Oluwayemisi Samuel Olokeogun, Idayat Adewunmi Bodede

Journal of Bioresource Management

Recently most farmers in developing country like Nigeria has resulted to the use of solid wastes as compost to replenish the deteriorated soils while some are farming on the abandoned waste dumpsite due to their richness in organic matter. This study assessed the soil nutrient and fertility status by investigating the influence of wastes (if any) on physical and chemical properties of soils in and around Lapite dumpsite for environmental sustainability. Ten soil samples each collected from three locations: dumpsite, downslope and upslope sites at depth of 0-20cm were analyzed for soil texture, bulk density, porosity, electrical conductivity, pH, organic …

The Guardian, Week Of August 2, 2021, Wright State Student Body

The Guardian Student Newspaper

News articles from The Guardian for the week of August 2, 2021. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.

A Multi-Stage Seir(D) Model Of The Covid-19 Epidemic In Korea, Hee-Young Shin

Economics Faculty Publications

Background: This paper uses a SEIR(D) model to analyse the time-varying transmission dynamics of the COVID-19 epidemic in Korea throughout its multiple stages of development. This multi-stage estimation of the model parameters offers a better model fit compared to the whole period analysis and shows how the COVID-19's infection patterns change over time, primarily depending on the effectiveness of the public health authority's non-pharmaceutical interventions (NPIs). Methods: This paper uses the SEIR(D) compartment model to simulate and estimate the parameters for three distinctive stages of the COVID-19 epidemic in Korea, using a manually compiled COVID-19 epidemic dataset for the period …

Undergraduate And Graduate Course Descriptions, 2021 Summer, Wright State University

Course Descriptions

Wright State University undergraduate and graduate course descriptions from Summer 2021.

Uncertainty-Aware Visualization In Medical Imaging - A Survey, Christina Gillmann, Dorothee Saur, Thomas Wischgoll, Gerik Scheuermann

Computer Science and Engineering Faculty Publications

Medical imaging (image acquisition, image transformation, and image visualization) is a standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students. Each of these steps is affected by uncertainty, which can highly influence the decision-making process of clinicians. Visualization can help in understanding and communicating these uncertainties. In this manuscript, we aim to summarize the current state-of-the-art in uncertainty-aware visualization in medical imaging. Our report is based on the steps involved in medical imaging as well as its applications. Requirements are formulated to examine the considered approaches. In addition, this manuscript shows which approaches can be …

Nomophobia Before And After The Covid-19 Pandemic-Can Social Media Be Used To Understand Mobile Phone Dependency, Vaishnavi Visweswaraiah, Tanvi Banerjee, William Romine, Sarah Fryman

Computer Science and Engineering Faculty Publications

No abstract provided.

A Covered Eye Fails To Follow An Object Moving In Depth, Scott N. J. Watamaniuk, Arvind Chandna, Jeremy B. Badler, Devashish Singh, Stephen J. Heinen

Psychology Faculty Publications

To clearly view approaching objects, the eyes rotate inward (vergence), and the intraocular lenses focus (accommodation). Current ocular control models assume both eyes are driven by unitary vergence and unitary accommodation commands that causally interact. The models typically describe discrete gaze shifts to non-accommodative targets performed under laboratory conditions. We probe these unitary signals using a physical stimulus moving in depth on the midline while recording vergence and accommodation simultaneously from both eyes in normal observers. Using monocular viewing, retinal disparity is removed, leaving only monocular cues for interpreting the object's motion in depth. The viewing eye always followed the …

Hydrochemical Assessment Of Groundwater Around Lapite Dumpsite For Irrigation Water Quality In Ibadan, Southwestern Nigeria, Oluwatoyin Opeyemi Akintola, Gabriel Oladapo Adeyemi, Adewunmi Idayat Bodede, Oluwatoyin Oluwatoyin Adekoya, Kekinde O. Babatunde

Journal of Bioresource Management

Due to the increase in population and industrialization growth, most countries in the world depend on groundwater to meet agriculture demands for food production. The increase in water contamination due to indiscriminate solid wastes has necessitated the assessment of water quality and its suitability for agricultural usage. Twenty four groundwater and ten stream water samples were randomly collected from the downslope and upslope side of the dumpsite for all the major physio-chemical parameters. The pH of water samples indicates slightly acidic to alkaline in nature. High concentrations of nitrate, total dissolved solids and electrical conductivity suggest the impact of the …

Validation Of Computerised Aptitude Selection System (Compass) In Predicting Success Of Uav Applicants In The Republic Of Singapore Air Force (Rsaf), Karunakarar Thevaki, Lim Yuhan, Christopher De Roza, Janine Loi En Qi, Grace Yip Kam Luen

International Symposium on Aviation Psychology - 2021

The study examined the predictive validity of the Computerised Aptitude Selection System (COMPASS) that was set up to support the RSAF in its selection of pilots and other vocations. COMPASS measures cognitive abilities theoretically identified to be relevant to the vocation and was introduced for Unmanned Aerial Vehicle (UAV) pilot selection since 2003. With fast changing technological advancement of the UAVs, it is important that validation studies are regularly conducted to improve the effectiveness of the test suite in predicting training success. 219 UAV Pilot applicants’ COMPASS scores were analysed against their actual training outcomes to determine a theoretically and …

Examining The Changing Roles And Responsibilities Of Humans In Envisioned Future In-Time Aviation Safety Management Systems, Lawrence Prinzel Iii, Kyle Ellis, John Koelling, Paul Krois, Misty Davies, Robert Mah

International Symposium on Aviation Psychology - 2021

Advances in technology are enabling new concepts of operations that will trans-form aviation including increasingly autonomous capabilities to handle evolving complex dynamic ecosystems like those associated with Advanced Aerial Mobility. A major challenge is how to ensure today’s safety levels are maintained as the system scales for rapid detection and timely mitigation of safety issues. NASA has developed a concept of operation for In-Time Aviation Safety Management Systems (IASMS) that represents a system-of-system perspective on interconnected capabilities needed to proactively reduce risk in complex operational environments where unknown hazards may exist. As a result, NASA research priorities include understanding how …

Speed-Accuracy Trade-Offs And General Systems Performance Theory: Novel Application To Fitts’ Law And Beyond, Lawrence R. Disalvi, George V. Kondraske

International Symposium on Aviation Psychology - 2021

Speed-accuracy trade-offs have long been of interest in human performance. General Systems Performance Theory (GSPT) was motivated by human performance measurement and modeling needs. It has subsequently been applied in those and other areas. In GSPT, all system performance attributes are modeled using a resource construct. Systems are characterized by multi-dimensional performance capacity envelopes (PCEs). The systems of interest here are considered to possess limited speed and accuracy performance resources defining a two-dimensional PCE. When considering human movement, relevance to Fitts’ law was conjectured. In multiple Fitts’ paradigm tasks, we found a near-perfect correlation between Index of Performance (IP) and …

Exploring The Relation Between Distractor Inhibition And Audiovisual Integration, Michelle H. Wang, Elizabeth L. Fox

International Symposium on Aviation Psychology - 2021

The Stroop paradigm is a great experimental tool to assess the extent that task-irrelevant, but target-related, distractors influence target identification in a variety of contexts. In particular, it has been applied beyond the traditional visual modality (e.g., audio, or audiovisual). However, audiovisual studies using Stroop-like tasks have reported conflicting results. Importantly, these bimodal studies assessed only group-level mean differences and did not investigate whether the degree of bimodal conflict is greater than what is expected of two unimodality distractors that are inhibited in an unlimited capacity, independent, and parallel fashion. In this research, we relied on cognitive-based models of individuals’ …

Using A Perceptual Speed Test To Predict Flight Training Performance: New Findings, Diane L. Damos, Alvah C. Bittner, Mary Niemczyk

International Symposium on Aviation Psychology - 2021

Using a Perceptual Speed Test to Predict Flight Training Performance: New Findings

Comparing Human And Machine Learning Classification Of Human Factors In Incident Reports From Aviation, Claas Tido Boesser, Florian Jentsch

International Symposium on Aviation Psychology - 2021

Machine learning algorithms have become popular tools for automated classification of text; however, performance of such algorithms varies and depends on several factors. We examined how a subjective labeling process based on a human factors taxonomy can influence human, as well as automated, classification of safety incident reports from aviation. In order to evaluate these challenges, we trained a machine learning classifier on a subset of 17,253 incident reports from the NASA Aviation Safety Reporting System using multi-label classification, and collected labels from six human annotators for a representative subset of 400 incident reports each, resulting in a total of …

Board Of Trustees Meeting Minutes, April 30, 2021

Board of Trustees Minutes

Minutes from the Wright State University Board of Trustees Meeting held on April 30, 2021

Magnitude Based Inference, Sharlo Bayless, Trevor J. Bihl

Medical Student Research Symposium Abstracts and Posters

Though its use is widespread in research, null hypothesis significance testing is not without flaws. Out of a desire to provide a more practical approach to solving statistical problems in certain fields, Magnitude Based Inference (MBI) was created. MBI is a statistical method that was developed by Will G Hopkins and Alan M Batterham, two researchers in Sports and Exercise Science, in 2009.The main issues that they wanted to address with null hypothesis significance testing (NHST),were: 1) the need for a large sample size,2) the confusing language, and 3) the arbitrary selection of a p value of 0.05 in testing …

Faculty Senate Agenda And Minutes, April 26, 2021

Faculty Senate Minutes and Agendas

Agenda and minutes from the Wright State University Faculty Senate Meeting held on April 26, 2021

Wright State University Libraries Annual Report 2020, Wright State University Libraries

University Libraries' Annual Reports

The 2020 annual report by the Wright State University Libraries highlights the various happenings at the University Libraries including the impact of COVID-19 on the University Libraries. These ranged from departmental and staff changes, the relocation of the Educational Resource Center to the library, changes to services and materials, and other challenges faced through the year.

The Wright State – Lake Campus 2020 – 2021 Scholarly Review, Wright State University - Lake Campus

Lake Campus Research Symposium Reports

This report provides a listing of the scholarly endeavors from Lake Campus during the 2020 calendar year, spanning across disciplines.

This document contains the Annual Research Report from 2020 and the Research Symposium Program from 2021.

Undergraduate And Graduate Course Descriptions, 2021 Spring, Wright State University

Course Descriptions

Wright State University undergraduate and graduate course descriptions from Spring 2021.

Inadequate Accounting, Commoditization, And Ceremonial Tools: The Department Of Defense’S Environmental Remediation Process, Jed Cooper

Student Papers in Local and Global Regional Economies

Water on the earth is a precious resource. However, over 99% of the water on the earth is not available as drinking water. Further issues such as uneven distribution, depletion and contamination of aquifers, excess demand, and climate change challenge the current scarce resources that are currently available to humans on the earth. Thus, humans have contaminated and polluted the limited freshwater available through toxic chemicals and human waste and in many parts of the world, leading to limited availability of clean water (Robertson, 2014). One of the biggest threats in the United States and globally the chemical contamination of …

Faculty Senate Agenda And Minutes, March 29, 2021

Faculty Senate Minutes and Agendas

Agenda and minutes from the Wright State University Faculty Senate Meeting held on March 29, 2021

The Guardian, Week Of March 29, 2021, Wright State Student Body

The Guardian Student Newspaper

News articles from The Guardian for the week of March 29, 2021. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.

Neuro-Symbolic Deductive Reasoning For Cross-Knowledge Graph Entailment, Monireh Ebrahimi, Md Kamruzzaman Sarker, Federico Bianchi, Ning Xie, Aaron Eberhart, Derek Doran, Hyeongsik Kim, Pascal Hitzler

Computer Science and Engineering Faculty Publications

A significant and recent development in neural-symbolic learning are deep neural networks that can reason over symbolic knowledge graphs (KGs). A particular task of interest is KG entailment, which is to infer the set of all facts that are a logical consequence of current and potential facts of a KG. Initial neural-symbolic systems that can deduce the entailment of a KG have been presented, but they are limited: current systems learn fact relations and entailment patterns specific to a particular KG and hence do not truly generalize, and must be retrained for each KG they are tasked with entailing. We …

Leveraging Natural Language Processing To Mine Issues On Twitter During The Covid-19 Pandemic, Ankita Agarwal, Preetham Salehundam, Swati Padhee, William Romine, Tanvi Wright State University - Main Campus

Computer Science and Engineering Faculty Publications

The recent global outbreak of the coronavirus disease (COVID-19) has spread to all corners of the globe. The international travel ban, panic buying, and the need for self-quarantine are among the many other social challenges brought about in this new era. Twitter platforms have been used in various public health studies to identify public opinion about an event at the local and global scale. To understand the public concerns and responses to the pandemic, a system that can leverage machine learning techniques to filter out irrelevant tweets and identify the important topics of discussion on social media platforms like Twitter …