Digital Commons Network^™

Implications With Identifying Gifted Black Students: A Study Of Implicit Bias, Christen H. Diehl

All-Inclusive List of Electronic Theses and Dissertations

The purpose of this quantitative study was to examine if implicit bias among Indiana educators might affect the identification of gifted Black students for programming. Educators, within school districts with high minority populations, were asked to provide a demographic survey and then take the Implicit Association Test (IAT). Survey data were then collected to determine if potential demographic information like gender, race, the possession of a high ability license, years of experience, highest collegiate degree, or their professional role had a statistical significance when compared to their IAT score. Using t-tests and one-way ANOVAs, demographic data were able to be …

Spartina Species Invasive In Coastal Salt Marshes And Mudflats Of The Pacific Northwest, Gabriel E. Campbell, Ashley Newcomb, Jacob Rose

Center for Lakes and Reservoirs Publications and Presentations

Spartina (cordgrass) species are invasive plants that threaten the Pacific Northwest of the United States of America. This document contains a literature review, map of known occurrences, and identification guide of Spartina species invasive in coastal salt marshes and mudflats of the Pacific Northwest.

A Population-Based Assessment Of Metastatic Hepatoblastoma In Texas Reveals Ethnic Disparities, Andres F Espinoza, Michael E Scheurer, Tiffany M Chambers, Sanjeev A Vasudevan, Philip J Lupo

Faculty, Staff and Students Publications

Background: Hepatoblastoma (HB) is the most common primary liver cancer in children with emerging evidence that incidence is increasing globally. While overall survival for low risk hepatoblastoma is >90%, children with metastatic disease have worse survival. As identifying factors associated with high-risk disease is critical for improving outcomes for these children, a need for a further understanding of the epidemiology of hepatoblastoma is warranted. Therefore, we conducted a population-based epidemiologic study of hepatoblastoma in Texas, a large state characterized by ethnic and geographic diversity.

Methods: Information on children diagnosed with hepatoblastoma at 0-19 years of age for the period of …

Absolute Lymphocyte Count Recovery Following Initial Acute Myelogenous Leukemia Therapy: Implications For Adoptive Cell Therapy, John C Molina, Yimei Li, William R Otto, Tamara P Miller, Kelly D Getz, Carly Mccoubrey, Mark Ramos, Edward Krause, Lusha Cao, M Monica Gramatges, Karen Rabin, Michael Scheurer, Caitlin W Elgarten, Regina M Myers, Alix E Seif, Brian T Fisher, Nirali N Shah, Richard Aplenc

Faculty, Staff and Students Publications

Background: An adequate absolute lymphocyte count (ALC) is an essential first step in autologous chimeric antigen receptor (CAR) T-cell manufacturing. For patients with acute myelogenous leukemia (AML), the intensity of chemotherapy received may affect adequate ALC recovery required for CAR T-cell production. We sought to analyze ALC following each course of upfront therapy as one metric for CAR T-cell manufacturing feasibility in children and young adults with AML.

Procedure: ALC data were collected from an observational study of patients with newly diagnosed AML between the ages of 1 month and 21 years who received treatment between the years of 2006 …

Editorial: Regeneration From Cells To Limbs: Past, Present, And Future, Pamela Imperadore, Kathryn Maxson Jones, Jennifer R Morgan, Fabio De Sio, Frank W Stahnisch

Faculty, Staff and Students Publications

No abstract provided.

Protocol Of Detection Of West Nile Virus In Clinical Samples, Hephzibah Nwanosike, Freedom M Green, Kristy O Murray, Jill E Weatherhead, Shannon E Ronca

Faculty, Staff and Students Publications

West Nile virus (WNV) is one of the leading causes of arboviral encephalitis in the United States but is often underdiagnosed. Despite the wide breadth of WNV-induced clinical disease syndromes, many of the symptoms associated with WNV are nonspecific at the time of presentation; thus, choosing the right diagnostic tool is essential to not only understand the true burden of disease but also provide pathogen-directed interventions for WNV-infected patients. In this chapter, we briefly discuss the three most common types of diagnostic methods for WNV in human clinical samples: nucleic acid detection, enzyme-linked immunoassay (ELISA), and plaque reduction neutralization test …

Safety Procedures To Work With West Nile Virus In Biosafety Level 3 Facilities, Freedom M Green, Shannon E Ronca

Faculty, Staff and Students Publications

West Nile virus (WNV) can cause severe and sometimes fatal disease, but we do not have treatments or therapeutics to manage these outcomes. Since its introduction to the USA in 1999, WNV has been handled in a biosafety level 3 laboratory to decrease risk to researchers, requiring strict safety protocols and important considerations with planning experiments. Recent changes in US guidelines suggest that WNV can be handled at a lower biosafety level due to its endemicity in the USA and generally minor symptoms, but some research still requires the use of the agent at biosafety level 3. This chapter will …

Editorial: Overcoming The Cell Membrane To Target Intracellular Oncoproteins, Christopher J Brown, Yong Li, Kanaga Sabapathy

Faculty, Staff and Students Publications

No abstract provided.

Performance And Interpretation: Beethoven's Opus 110, Izaac J. Masters

Theses: Doctorates and Masters

Within the context of professional music making, an increasing number of pianists use both modern and historical pianos as a matter of course. Yet, not infrequently, it seems that there is little awareness of how the inherent acoustic characteristics of each instrument may be used to inform interpretation, and the instrument-specific pianistic techniques that are needed if interpretation is to be optimised. This study explores issues of interpretation and performance as applied to Beethoven’s Piano Sonata in Ab major, op. 110. Three different performative interpretations of the sonata are constructed, each relating to a specific grand piano––made by, respectively, Conrad …

Restoring Human And More-Than-Human Relations In Toxic Riskscapes: “In Perpetuity” Within Lake Superior’S Keweenaw Bay Indian Community, Sand Point, Valoree Gagnon, Evelyn H. Ravindran

Michigan Tech Publications, Part 1

Lake Superior’s Keweenaw Bay is the ancestral and contemporary homeland of the Anishinaabe Ojibwa and their relatives. It is also a toxic riskscape: Its waters, shorelines, and fish beings are polluted by an unknown tonnage of legacy mining waste rock called “stamp sands,” which contain unsafe levels of toxic compounds. This paper describes Ojibwa stewardship principles and reciprocal obligations, illustrating First Treaty With Gichi-Manitou practices of restoring relations within a toxic riskscape. Defined here, riskscapes are places and spaces where pollution/toxicity relations are continually reconfigured in literal, symbolic, and systemic ways. We share a story from Keweenaw Bay’s Sand Point …

Food Standards Agency, London (2023) Estimating Financial Cost To Individuals With A Food Hypersensitivity Project Report., Ciara Walsh

Research Outputs: 2025-Present

The Food Standards Agency (FSA) is a non-ministerial government department within the United Kingdom responsible for protecting public health and protecting consumer interests in relation to food in England, Wales, and Northern Ireland. Food Hypersensitivities (FHS) is a key priority within the FSA as it is an important food-related health issue with a severe and enduring impact for people living with it. FHS includes individuals living with a food allergy, coeliac disease and food intolerance.It is the responsibility of the FSA to seek ways to understand and reduce avoidable deaths, the negative impact of FHS on both consumers and businesses, …

Pattern And Polarization Diversity Multisector Annular Antenna For Iot Applications, Abel Zandamela, Nicola Marchetti, Max Ammann, Adam Narbudowicz, Wroclaw University Of Science And Technology

Articles

This work proposes a small pattern and polarization diversity multisector annular antenna with electrical size and profile of ka=1.2 and 0.018λ, respectively. The antenna is planar and comprises annular sectors that are fed using different ports to enable digital beamforming techniques, with efficiency and gain of up to 78%and 4.62 dBi, respectively. The cavity model analysis is used to describe the design concept and the antenna diversity. The proposed method can produce different polarization states (e.g., linearly and circularly polarized patterns) and pattern diversity characteristics covering the elevation plane. Owing to its small electrical size, low-profile and diversity properties, the …

Adolescent Overweight And Obesity In Ireland—Trends And Sociodemographic Associations Between 1990 And 2020, Aoibhín Moore Heslin, Aisling O'Donnell, Laura Kehoe, Janette Walton, Albert Flynn, John Kearney, Breige Mcnulty

Articles

Background: Overweight and obesity in adolescence is a growing issue and can have a range of both short- and long-term consequences on health.

Objectives: To analyse trends in adolescent weight status in Ireland across a 30-year period and to examine the influence of sociodemographic factors on overweight/obesity in Irish adolescents over time.

Methods: Body composition and body mass index weight status of Irish adolescents were compared using data from three nationally representative, cross-sectional Irish national food consumption surveys from 1990, 2006 and 2020. Adjusted analysis of associations between socio-demographic factors with the risk of adolescent overweight/obesity at each time point …

A Qualitative Analysis Of Women's Postnatal Experiences Of Breastfeeding Supports During The Perinatal Period In Ireland, Niamh Lawlor, Lucia Prihodova, Deborah Byrne, Megan Etherton, Felicienne Rahill, Catie Wilson, Elizabeth J. O'Sullivan

Articles

Ireland has among the lowest rates of breastfeeding worldwide. Despite policies to support breastfeeding, breastfeeding initiation and exclusivity remain low in Ireland. Greater knowledge about support received in the maternity unit may—in part—shed light on why this is so. Our aim was to analyse women's experiences of the breastfeeding supports available in the early postnatal period in Ireland. We conducted an analysis of an open-ended question on a cross-sectional survey about breastfeeding support conducted in the Republic of Ireland in 2022. Participants were asked to provide comments about the breastfeeding support they received in the maternity unit or during your …

Development Of Holographic Recording Material For Fabrication Of Solar Concentrators For Micro Satellites, Brian Rogers

Doctoral

Holographic solar concentration has been a topic of increasing interest over recent years because of the lightweight and physically compact nature of holograms, which gives them an advantage over other, conventional concentration methods. As holographic recording materials develop further, their characteristics prove to meet the demands required of them to make more effective holographic solar concentrators. The development of photovoltaics in tandem with holographic materials has led to a host of solar concentrating device designs that take advantage of the unique properties of diffractive optics. Compared to refractive optics, holographic devices are more lightweight and compact. This makes holographic devices …

Structured Dialogue State Management For Task-Oriented Dialogue Systems, Anh Duong Trinh

Doctoral

Human-machine conversational agents have developed at a rapid pace in recent years, bolstered through the application of advanced technologies such as deep learning. Today, dialogue systems are useful in assisting users in various activities, especially task-oriented dialogue systems in specific dialogue domains. However, they continue to be limited in many ways. Arguably the biggest challenge lies in the complexity of natural language and interpersonal communication, and the lack of human context and knowledge available to these systems. This leads to the question of whether dialogue systems, and in particular task-oriented dialogue systems, can be enhanced to leverage various language properties. …

Towards The Development Of A Balanced Legislative Framework For Consumer Data Protection In Electronic Commerce: The Case Of The Sultanate Of Oman, Talib Al Kharusi

Doctoral

This research aims to investigate whether the law as it currently stands in Oman provides adequate legal protection for personal data, to determine the current obstacles facing the electronic commerce sector, and to identify ways of overcoming such challenges. The empirical focus of this study will be electronic commerce transactions between companies and consumers. In this regard, the research will explore the perceptions of the main stakeholders towards privacy regulation and what implications these have for the growth of electronic commerce in Oman. The privacy that this research aims to explore is a complex issue since it concerns human feelings …

Comparing And Extending The Use Of Defeasible Argumentation With Quantitative Data In Real-World Contexts, Lucas Rizzo, Luca Longo

Articles

Dealing with uncertain, contradicting, and ambiguous information is still a central issue in Artificial Intelligence (AI). As a result, many formalisms have been proposed or adapted so as to consider non-monotonicity. A non-monotonic formalism is one that allows the retraction of previous conclusions or claims, from premises, in light of new evidence, offering some desirable flexibility when dealing with uncertainty. Among possible options, knowledge-base, non-monotonic reasoning approaches have seen their use being increased in practice. Nonetheless, only a limited number of works and researchers have performed any sort of comparison among them. This research article focuses on evaluating the inferential …

Comparing Poor And Favorable Outcome Prediction With Machine Learning After Mechanical Thrombectomy In Acute Ischemic Stroke, Matthias A. Mutke, Vince I. Madai, Adam Hilbert, Esra Zihni, Arne Potreck, Charlotte S. Weyland, Markus A. Mohlenbruch, Sabine Heiland, Peter A. Ringleb, Simon Nagel, Martin Beendszus, Dietmar Frey

Articles

Outcome prediction after mechanical thrombectomy (MT) in patients with acute ischemic stroke (AIS) and large vessel occlusion (LVO) is commonly performed by focusing on favorable outcome (modified Rankin Scale, mRS 0–2) after 3 months but poor outcome representing severe disability and mortality (mRS 5 and 6) might be of equal importance for clinical decision-making.

Corrigendum: Human Mental Workload: A Survey And A Novel Inclusive Definition, Luca Longo, Christopher D. Wickens, Gabriella Hancock, P. A. Hancock

Articles

In the published article, the name of Gabriella Hancock was incorrectly written as “Gabriela M. Hancock.” The correct name is “Gabriella Hancock.” In the published article, there was also an error in the author list as published. Gabriella Hancock was listed as the last author, but should have been listed as third author. P. A. Hancock was listed as third author but should be listed as the last author. The corrected author list appears below. Luca Longo1, Christopher D.Wickens, Gabriella Hancock and P. A. Hancock. The authors apologize for this error and state that this does not change the scientific …

Detection Of Grape Clusters In Images Using Convolutional Neural Network, Mohammad Osama Shahzad, Anas Bin Aqeel, Waqar Shahid Qureshi

Articles

Convolutional Neural Networks and Deep Learning have revolutionized every field since their inception. Agriculture has also been reaping the fruits of developments in mentioned fields. Technology is being revolutionized to increase yield, save water wastage, take care of diseased weeds, and also increase the profit of farmers. Grapes are among the highest profit-yielding and important fruit related to the juice industry. Pakistan being an agricultural country, can widely benefit by cultivating and improving grapes per hectare yield. The biggest challenge in harvesting grapes to date is to detect their cluster successfully; many approaches tend to answer this problem by harvest …

How Visual Stimuli Evoked P300 Is Transforming The Brain–Computer Interface Landscape: A Prisma Compliant Systematic Review, Jai Kalra, Prashasti Mittal, Nirmiti Mittal, Abhishek Arora, Utkarsh Tewari, Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Luca Longo

Articles

Non-invasive Visual Stimuli evoked-EEGbased P300 BCIs have gained immense attention in recent years due to their ability to help patients with disability using BCI-controlled assistive devices and applications. In addition to the medical field, P300 BCI has applications in entertainment, robotics, and education. The current article systematically reviews 147 articles that were published between 2006-2021*. Articles that pass the pre-defined criteria are included in the study. Further, classification based on their primary focus, including article orientation, participants’ age groups, tasks given, databases, the EEG devices used in the studies, classification models, and application domain, is performed. The application-based classification considers …

Schizo-Net: A Novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning On Electroencephalogram-Based Brain Connectivity Indices, Nitin Grover, Aviral Chharia, Rahul Upadhyay, Luca Longo

Articles

Schizophrenia (SCZ) is a serious mental condition that causes hallucinations, delusions, and disordered thinking. Traditionally, SCZ diagnosis involves the subject’s interview by a skilled psychiatrist. The process needs time and is bound to human errors and bias. Recently, brain connectivity indices have been used in a few pattern recognition methods to discriminate neuro-psychiatric patients from healthy subjects. The study presents Schizo-Net , a novel, highly accurate, and reliable SCZ diagnosis model based on a late multimodal fusion of estimated brain connectivity indices from EEG activity. First, the raw EEG activity is pre-processed exhaustively to remove unwanted artifacts. Next, six brain …

An Aggregation-Based Algebraic Multigrid Method With Deflation Techniques And Modified Generic Factored Approximate Sparse Inverses, Anastasia Natsiou, George A. Gravvanis, Christos K. Filelis-Papadopoulos, Konstantinos M. Giannoutakis

Articles

In this paper, we examine deflation-based algebraic multigrid methods for solving large systems of linear equations. Aggregation of the unknown terms is applied for coarsening, while deflation techniques are proposed for improving the rate of convergence. More specifically, the V-cycle strategy is adopted, in which, at each iteration, the solution is computed by initially decomposing it utilizing two complementary subspaces. The approximate solution is formed by combining the solution obtained using multigrids and deflation. In order to improve performance and convergence behavior, the proposed scheme was coupled with the Modified Generic Factored Approximate Sparse Inverse preconditioner. Furthermore, a parallel version …

Nesnet: A Deep Network For Estimating Near-Surface Pollutant Concentrations, Prasanjit Dey, Bibhash Pran Das, Yee Hui Lee, Soumyabrata Dev

Articles

Atmospheric pollution has become a serious threat in recent years. The advancements and expansion of industrial activity and civilization have been the major catalysts. With serious consequences like climate change and global warming, the onset of which is already being observed, keeping a check on atmospheric pollutant levels is now more important than ever. Trace gases play a major role in atmospheric chemistry. Many of these are also regarded as major atmospheric pollutants. The concentration of gases, such as (SO2), (O3), (NO2), etc., are indicators of air quality. Therefore, in this study, we primarily concern ourselves with concentrations of NO2, …

Do Games Reduce Math Anxiety? A Meta-Analysis, Pierpaolo Dondio, Viacheslav Filonenko, Mariana Rocha

Articles

In this paper, we meta-analyse the empirical evidence about the effectiveness of game-based interventions to reduce students' level of math anxiety. After performing a search for randomised controlled studies relevant to game-based intervention for math anxiety, 16 experimental studies with a total of 686 participants described in 11 peer-review articles met the selection criteria.A random-effects meta-analysis indicated a small and non-significant reduction of math anxiety (mean effect size ES=-0.32, CI=[-0.64,0.01]). The results were moderated by several factors: non-digital games were more effective, while digital games had a negligible mean effect size of $ES=-0.13$, $CI=[-0.33,0.08]$. The effect size was moderated also …

Rate Of Change Of Direct-Axis Current Component Protection Scheme For Inverter-Based Islanded Microgrids, Abdolhamid Farshadi, Behzad Keyvani Eydi, Hamed Nafisi, Hossein Askarian-Abyaneh, Arash Beiranvand

Articles

Rapid growth in the utilization of the inverter-interfaced distributed energy resources (IIDERs) in microgrids has brought new challenges in the network protection area. Microgrid protection specifically becomes a concern during operation in the islanded mode. There is a considerable reduction in fault current levels in this mode compared to when the microgrid is connected to the grid, which makes conventional algorithms operate with significant delay or, in many cases, not even pick up the fault. This paper proposes a protection algorithm based on the rate of change of direct-axis current component ( id ) to protect inverter-based microgrids (IBMGs). The …

Decision Making For Process Control Management In Control Rooms: A Survey Methodology And Initial Findings, Chidera Winifred Amazu, Ammar N. Abbas, Micaela Demichela, Davide Fissore

Articles

Control rooms and their operators are active elements in complex socio-technical systems such as process plants. Control room operators monitor process operations, respond to alarms, and manage process deviations until emergencies. The increase in automation of plants and equipment makes the operators less involved in manual process control or other physical roles while more exposed to cognitive load generated, for example, by increasing the number of alarms or potential system failures in abnormal situations. A shift in process control design and management techniques to holistically capture risks due to evolving process or monitoring capabilities and the related influencing factors is …

Opportunities Of Iot In Fog Computing For High Fault Tolerance And Sustainable Energy Optimization, A. Reyana, Sandeep Kautish, Khalid Abdulaziz Alnowibet, Hossam Zawbaa, Ali Wagdy Mohamed

Articles

Today, the importance of enhanced quality of service and energy optimization has promoted research into sensor applications such as pervasive health monitoring, distributed computing, etc. In general, the resulting sensor data are stored on the cloud server for future processing. For this purpose, recently, the use of fog computing from a real-world perspective has emerged, utilizing end-user nodes and neighboring edge devices to perform computation and communication. This paper aims to develop a quality-of-service-based energy optimization (QoS-EO) scheme for the wireless sensor environments deployed in fog computing. The fog nodes deployed in specific geographical areas cover the sensor activity performed …

A Multidimensionality Reduction Approach To Rainfall Prediction, Menatallah Abdel Azeem, Prasanjit Dey, Soumyabrata Dev

Articles

The rainfall has an impact on various fields and industries, including transportation, construction, tourism, health, and wildlife preservation. Accurate rainfall prediction is essential for mitigating the negative impact of rainfall on these sectors. However, previous studies on rainfall prediction have been mainly based on datasets from North America, Europe, Australia, and Central Asia, covering different periods. This study proposes using weather datasets covering the past 5 to 10 years to capture recent patterns in weather data. Additionally, the curse of dimensionality can impact model performance and lead to overfitting. Therefore, this study proposes utilizing dimensionality reduction techniques to ensure that …