Digital Commons Network^™

Machine Learning-Driven Quantification Of Co₂ Plume Dynamics At Ibdp Sites Using Microseismic Data, Ikponmwosa Bright Iyegbekedo

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis delves into the utilization of machine learning methodologies to quantify the spatial extent of CO₂ plumes by leveraging microseismic data obtained from the Illinois Basin Decatur Project (IBDP) site spanning November 2011 to June 2018. This initiative, focused on the geological sequestration of carbon dioxide, furnishes a unique and comprehensive dataset comprising well logs, microseismic activity records, and CO₂ injection metrics, all crucial for quantifying the subsurface CO₂ saturation plume dynamics. The primary objective is to forecast the temporal evolution of CO₂ saturation plumes in the subsurface, a critical undertaking for ensuring both the environmental integrity and operational …

Historical Evolution Of The Late 20th-Century Maritime Claims, The Concept Of The Nine-Dash Line, And The Dispute In The South China Sea, Kamil Nowak

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study discusses the origins and development of the South China Sea dispute. It briefly analyzes the overlapping maritime claims, their justifications and legal aspects, and key clashes between the actors across the second half of the 20th century. It uses a historical perspective to assess the present-day conflict. The study discusses the impact of international agreements, national policies, claimants' domestic factors, and external influences connected to the geopolitical situation of the period to determine how they influenced the dispute. The analysis reveals that amidst more pressing global events, the South China Sea issue was frequently overlooked by the international …

Reimagining The Refugee Figure: Survival Migration And Its After-Affects, Gabriella Pishotti

Graduate Theses, Dissertations, and Problem Reports (ETD)

As the refugee crisis continues to worsen, so too will the field of refugee literature continue to expand into new directions to account for shifts in the refugee figure and developing concerns of survival migrant writers. Drawing from the foundational work of scholars such as Sianne Ngai and Sara Ahmed, I use affect theory as an intervention into these contemporary refugee texts to posit a rethinking of how we analyze refugee stories as narratives of crisis. I employ an affective approach to demonstrate how the emergency of forced migration can be narratively depicted in an embodied way that fosters connection …

Rural Student Postsecondary Decision-Making: Navigating Narratives Of The Purpose And Value Of Higher Education, Ashley Renee Leggett-Bradley

Graduate Theses, Dissertations, and Problem Reports (ETD)

The narrative surrounding the purpose and place of higher education has shifted dramatically over the past few decades, despite the persistent perceptions of the necessity of an educated society. With these shifts and conflicting narratives comes the question of how students are influenced by these narratives as they make their postsecondary decisions. This study seeks to illuminate the unique way that rural students receive, understand, and are influenced by these potentially conflicting narratives through a qualitative multi-site case study. All three sites are located within the North Central Appalachian portion of the state of West Virginia, and encompass a range …

Evaluation Of Probable Maximum Precipitation (Pmp) For West Virginia To Predict Current And Future Pmp & Utilizing Acid Mine Drainage (Amd) Sludge In Reclamation, Grace Katherine Kerr

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis includes two main topics: 1) evaluation of probable maximum precipitation (PMP) for West Virginia to predict current and future PMP, and 2) utilizing acid mine drainage (AMD) sludge as a reclamation plan.

Probable maximum precipitation (PMP) is essential for dam design as well as for the inspection, operation, maintenance, and repairs of these facilities. West Virginia Department of Environmental Protection Dam Safety utilizes the 6-hr, 10-mi² (26-km²) PMP established by Hydrometeorological Report (HMR) 51 based on the analysis of extreme rainfall. These PMP are outdated because there have been unaccounted for extreme rainfall events that …

Anti-Listeria Of H2o2-Peroxyacetic Acid Anti-Listeria Efficacy Of A Hydrogen Peroxide-Peroxyacetic Acid Mixer In Bacterial Buffered Solution And On Bell Peppers, Peighton Denae Foster

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study aims to 1) evaluate the efficacy of H₂O₂-peroxyacetic acid (PAA) mixer to inactivate Listeria monocytogenes in 0.1% buffered-peptone-water; 2) evaluate the reduction and mitigation of cross-contamination on peppers. For the study-1, aliquots of 1.0-ml mixer solutions (0.25, 0.50 and 0.84%) were added to the first 3-well of 8-strip-deep-well microplates. Then, the 0.1 ml of 10-fold dilution the Nalidixic-acid-resistant (NaL) L. monocytogenes was added and mixed immediately with a multichannel pipette. After exposure for 0, 5, 15, 30, and up to 120-s, 1 ml of 2×D/E neutralized solution was added to terminate the reaction followed …

Fluid-Rock And Fluid-Steel Interaction In Geothermal Energy Development In The Appalachain Basin, Samuel H. Bowman

Graduate Theses, Dissertations, and Problem Reports (ETD)

The ever-increasing demand for clean energy requires creative solutions. In the United States, unconventional energy sources such as geothermal are conventionally limited to the western half of the country. The Appalachian Basin in the Eastern United States is one such possible creative solution, although the comparatively low temperature gradient presents a significant challenge to delivering economically feasible geothermal energy. An emerging technology is enhanced geothermal systems, these are engineered reservoirs where a working fluid (typically water) is cycled between the subsurface energy source and the energy collection facility at the surface. The liquid water interacts with the geothermal reservoir rock …

Building Better Biofuel Crops: A Field Evaluation Of Transgenic Populus Modified To Improve Feedstock Performance For Bioenergy Use, Molli Elisabeth Coombs

Graduate Theses, Dissertations, and Problem Reports (ETD)

A transition away from fossil fuel use is necessary for the future of energy production, and biofuels are a renewable energy option that can mitigate the impacts of fossil fuels through lowered carbon emissions and possible carbon sequestration. In order to successfully compete with fossil fuels, the production of biofuels must be sustainable and cost effective. Populus species are a biofuel crop used for bioenergy conversion from lignocellulosic biomass that have been proposed for use in feedstock plantations on marginal lands, which would avoid competition with agricultural production. Two challenges of feedstock production being faced are recalcitrance to chemical processing, …

Airway Epithelium Respiratory Illnesses And Allergy (Aerial) Birth Cohort: Study Protocol, Elizabeth Kicic-Starcevich, David G. Hancock, Thomas Iosifidis, Patricia Agudelo-Romero, Jose A. Caparros-Martin, Yuliya V. Karpievitch, Desiree Silva, Lidija Turkovic, Peter N. Le Souef, Anthony Bosco, David J. Martino, Anthony Kicic, Susan L. Prescott, Stephen M. Stick

Research outputs 2022 to 2026

Introduction: Recurrent wheezing disorders including asthma are complex and heterogeneous diseases that affect up to 30% of all children, contributing to a major burden on children, their families, and global healthcare systems. It is now recognized that a dysfunctional airway epithelium plays a central role in the pathogenesis of recurrent wheeze, although the underlying mechanisms are still not fully understood. This prospective birth cohort aims to bridge this knowledge gap by investigating the influence of intrinsic epithelial dysfunction on the risk for developing respiratory disorders and the modulation of this risk by maternal morbidities, in utero exposures, and respiratory exposures …

Enhancing Marketing Students’ Indigenous Cultural Competencies Through A Decolonisation And Authentic Assessment Approach, Claire Lambert, Melissa Fong-Emmerson, Sonja Coetzee, Steven D’Alessandro

Research outputs 2022 to 2026

To prepare students for multicultural environments and understand consumers from different backgrounds, marketing educators must incorporate diversity into their curricula and recognise the importance of decolonisation by considering First Nations’ perspectives to promote reconciliation and better outcomes. This paper reports on a novel approach of students working directly with First Nations businesspeople to gain an applied understanding of Indigenous cultural learning. The study examines the influence of this approach on students’ learning and cultural understanding, as well as how the teaching approach and authentic assessment design within the unit improve the confidence of students to apply these learnings and engage …

Parents’ Experiences Of Their Child’S Best Interests During A Hospital Stay In Australia, Angela A. Quaye, Mandie Foster, Lisa Whitehead, Inger K. Hallström

Research outputs 2022 to 2026

Determining the child’s best interests in a hospital setting will ideally involve the combined views of children, parents, and healthcare professionals. However, few studies have explored parents’ experiences of their child’s best interests when they engage with the healthcare system. Therefore, this study aimed to explore parents’ experiences of their child’s best interests during hospitalisation. A descriptive qualitative inductive design using face-to-face parent–child combined interviews, analysed by latent content analysis, was used. Sixteen parents recruited from a tertiary hospital in Western Australia were interviewed. Collaboration, development of trustworthy relationships, and effective communication were essential in shaping parents’ experiences of their …

Queering Primary Initial Teacher Education, David Rhodes, Matt Byrne, Jason Boron

Research outputs 2022 to 2026

This research was designed to raise awareness, access and understanding of lesbian, gay, bisexual, transgender, intersex, queer/questioning, asexual/aromantic and others who sit outside of the heteronormative binary (LGBTIQA+), inclusion for pre-service educators studying in Bachelor of Education (Primary) and Master of Teaching (Primary) ITE courses in one Australian university. The project involved the production of three video resources intended for inclusion in existing teacher education units. Whilst originally conceptualized as ’bite-sized‘ resources intended for use by pre-service educators, initial survey data from academic staff indicated the need to first develop the collective understanding of primary education LGBTIQA+ inclusion for the …

Event Technology And Attendee Experience: A Systematic Review And Research Agenda, Jijun (Jackie) Chen, Shinyong (Shawn) Jung

ICHRIE Research Reports

The events industry is experiencing growth, both as a sector of the tourism industry and in the technology that impacts the attendee experience during an event. While research into event-related technologies is robust, there is not much research on the specific roles that technology can play in facilitating attendees’ experiences at an event. This study proposes to use the PRISMA approach to gain a comprehensive understanding of technology-enabled experiences within the context of events. Results will drive future research in this area of study.

Eastern Australian Farmers Managing And Thinking Differently: Innovative Adaptation Cycles, David K. Mckenzie, Janine Joyce, Kerstin K. Zander, Penelope A.S. Wurm, Kim M. Caudwell

Research outputs 2022 to 2026

The uncertainty of climate change is a significant challenge prompting Australian farmers to create different thinking and different management systems that ensure sustained farm business viability and continuity, particularly in extreme environments. The purpose of this study was to explore the conditions and adaptive processes for managing farm resilience and cyclic adaptation pathways, in response to climate change. A positive deviance sample of farmers was interviewed, and data was collected from a cohort of twenty-two climate change innovators across Eastern Australia. Grounded theory analysis of data identified three processes and two transactional maps of climate change adaptation, in this under …

Coload Effect On Cardiac Output Measurement Using Transthoracic Echocardiography In Preeclamptic Patients Undergoing Cesarean Delivery, Sherine Ali Elsayed Bakrey, Aya Hasan Masoud Abdelhady, Alaa El-Din Mazy Abdou Mazy, Maha Ahmed Abo-Zeid Salim

Mansoura Medical Journal

Background: During cesarean delivery (CD) for preeclamptic patients under spinal anaesthesia (SA), much intravenous fluids are avoided. Through transthoracic echocardiography, study conducted to assess the hypothesis that colloid plus crystalloid coload will maintain the cardiac output (CO) than crystalloid fluid alone. Methods: Thirty-four preeclamptic patients, scheduled for elective CD, under SA, were allocated according to the fluid coloading into two groups; Crystalloid group (group I); in which the patients received Ringer’s acetate or Crystalloid-colloid group (group II); in which the patients received 6% Hydroxyethyl starch and Ringer’s acetate. The primary outcome was CO while, left ventricular end diastolic diameter (LVEDD), …

Temporal Lobe Epilepsy And Obesity In Adults, Mahmoud Fathy Saleh, Mohammed Abbas, Mostafa Mansour, M. Saad

Mansoura Medical Journal

Background: Epilepsy is a common, chronic, and disabling neurologic state. Medial temporal lobe epilepsy (TLE) is the commonest, and best-defined, form of symptomatic localization-related epilepsy. Obesity-induced mitochondrial dysfunction and oxidative stress are thought to participate in the initiation and progression of epilepsy. Obesity is a potentially preventable predisposing factor for drug resistant epilepsy (DRE).

Objective: the aim of this study was to investigate the association of TLE with obesity and the effect of obesity on seizure control.

Methods: This case control study was carried out on 50 patients with TLE and was divided into two groups, …

Social Bonds And Perception: Investigating Individual And Contextual Differences In Empathic Processing, Tyler J. Robinson

Murray State Theses and Dissertations

Empathy is defined as the process by which individuals consciously experience affective states that are similar to a target’s affective state (de Vignemont & Singer, 2006). Singer and Lamm (2009) assert that empathy is a malleable construct and can be influenced by various factors. Relatedly, more research is needed to understand whether positive empathy patterns similarly to negative empathy (Morelli et al., 2015). The current study sought to investigate how differences in perspective-taking and degree-of-closeness influence an individuals’ emotional response to an ostensibly positive vignette. Results reliably suggest a main effect of degree-of-closeness on individuals’ positive affect, whereas relatively little …

Measuring The Effectiveness Of Ai Tools In Clinical Research And Writing: A Case Study In Healthcare, Sani Salisu, Osamah Mohammed Alyasiri, Hussain A. Younis, Thaeer Mueen Sahib, Ahmed Hussein Ali, Ameen A. Noor, Israa M. Hayder

Mesopotamian Journal of Artificial Intelligence in Healthcare

This article investigates the capabilities and limitations of ChatGPT, a natural language processing (NLP) tool, and large language models (LLMs), developed from advanced artificial intelligence (AI). Designed to help computers understand and produce text understandable by humans, ChatGPT is particularly aimed at general scientific writing and healthcare research applications. Our methodology involved searching the Scopus database for ’type 2 diabetes’ and ’T2 diabetes’ articles from reputable journals. After eliminating duplicates, we used ChatGPT to formulate conclusions for each selected article by inputting their structured abstracts, excluding the original conclusions. Additionally, we tested ChatGPT’s response to simple misuse scenarios. Our findings …

Machine Learning Helps In Quickly Diagnosis Cases Of "New Corona", Maad M. Mijwil, Ioannis Adamopoulos, Pramila Pudasaini

Mesopotamian Journal of Artificial Intelligence in Healthcare

Machine learning is considered one of the most significant techniques that play a vital role in diagnosing the Coronavirus. It is a set of advanced algorithms capable of analysing medical data and identifying patterns and behaviours of diseases. It is used to interpret medical images, giving details of each image with high accuracy and efficiency, such as chest X-ray images. These algorithms are trained on a large set of images to recognise patterns that indicate the presence of infection with the Coronavirus (COVID-19). This article will provide a brief overview of the importance of machine learning in diagnosing COVID-19 by …

Exploring Deep Learning Methods Used In The Medical Device Sector, Fredrick Kayusi, Benson Turyasingura, Petros Chavula, Orucho Justine Amadi

Mesopotamian Journal of Artificial Intelligence in Healthcare

The healthcare sector is witnessing significant development in many aspects thanks to the effects of artificial intelligence or software, which has turned out to be the centre of attraction all over the world. This is evidence of a simple development in acquiring deep knowledge of the methods and areas in which they are used. Face detection, voice recognition, autonomous use, the defence industry, the security industry, and other fields may be displayed as examples that help complete tasks. This article surveys the impact of deep learning methods and practices in the medical device industry, and we also examine the distribution …

Application Of Augmented Reality (Ar) In Vocational Education: A Systematic Literature Review, Supriyanto Supriyanto, Quienera Joshua, Ade Gafar Abdullah, Emmanuel Obobi Tettehfio, Sulaeman Deni Ramdani

Jurnal Pendidikan Vokasi

Augmented Reality (AR) is a technology that combines two-dimensional and or three-dimensional virtual objects into a real environment and then projects these virtual objects in reality in real time. Through this AR technology, users can see virtual objects added to the real world with contextual information. In education, AR has been widely used to complement the standard curriculum. Text, graphics, video, and audio can be superimposed into the student's real-time environment. This article aims to examine how the application and impact of the use of AR in vocational education. The Systematic Literature Review (SLR) method is used to identify, study, …

Breaking Down Computer Networking Instructional Videos: Automatic Summarization With Video Attributes And Language Models, Totok Sukardiyono, Muhammad Irfan Luthfi, Nisa Dwi Septiyanti

Elinvo (Electronics, Informatics, and Vocational Education)

Instructional videos have become a popular tool for teaching complex topics in computer networking. However, these videos can often be lengthy and time-consuming, making it difficult for learners to obtain the key information they need. In this study, we propose an approach that leverages automatic summarization and language models to generate concise and informative summaries of instructional videos. To enhance the performance of the summarization algorithm, we also incorporate video attributes that provide contextual information about the video content. Using a dataset of computer networking tutorials, we evaluate the effectiveness of the proposed method and show that it significantly improves …

The Evaluation Of Village Building Program/Thematic Real Work Lecture (Kknt) Mbkm's Implementation At Uin Sunan Kalijaga, Muyassaroh Muyassaroh, Sudiyatno Sudiyatno, Nur Hidayanto Pancoro Setyo Putro, Rahma Yunita, Syafiqurrahman Syafiqurrahman

Jurnal Penelitian dan Evaluasi Pendidikan

This study aims to determine the standards of MBKM Thematic KKN, how the implementation of this program at UIN Sunan Kalijaga, as well as to determine the gap between the existing standards and the form of implementation. This evaluation research uses the descrepancy evaluation model with a descriptive qualitative approach. Data collection in this study used interview techniques, documentation, and was equipped with an open questionnaire. The data sources in this study at the interview stage were 7 resource persons 1 Head of PPM UIN Sunan Kalijaga, 2 Field Supervisor (DPL), 2 heads of Study Programs and 2 students, as …

Factor Analysis Of The Relationship Of Curiosity And Device Addiction Through Motivation To Digital Literacy In The Context Of Smart Learning, Yeka Hendriyani, Muhammad Anwar, Hendra Hidayat, Elsa Sabrina, Pardjono Pardjono, Erni Marlina Sari

Jurnal Pendidikan Vokasi

This study aims to investigate the relationship between curiosity and device addiction factors and motivation towards digital literacy in the context of smart learning. This study used a qualitative approach involving 228 students majoring in Electronics Engineering Education at Universitas Negeri Padang. Data were collected through a Likert-scale questionnaire with a saturated sampling method, ensuring all relevant respondents were involved. To evaluate the measurement model of the research questions, Structural Equation Modeling (SEM) analysis was used. The results revealed that digital literacy is significantly influenced by three main factors: curiosity, gadget addiction and app addiction. Furthermore, the study found that …

Front Matter, The Editors

Elinvo (Electronics, Informatics, and Vocational Education)

No abstract provided.

2023 Scholarly Productivity Report, Missouri University Of Science And Technology

Civil, Architectural and Environmental Engineering Scholarly Productivity Reports

No abstract provided.

Development Of Labor Market Information System In Indonesia Towards World Class, Yeni Nuraeni, Beni Teguh Gunawan

Informasi

The demographic dividen can provide benefits for Indonesia. The proportion of the working age population in Indonesia until 2021 is reaching 205.36 million, which is 68.08% of the workforce. The labor force participation is 93.74%, with the informal sector as much as 59.6%, and the number of unemployed reaches 6.26%. The labourforce structure profile is a challenge for the Indonesian government to encourage the population to participate to industry. The developing of Labour Market Information System (LMIS) is one of the goverment to gather job seekers and employers with the final objective is to reduce unemployment. This study aims to …

Show And Tell: Audience Engagement In Reporting On Covid-19 Vaccination In Data Journalism-Based Media, Khuswatun Hasanah, Sika Nur Indah

Informasi

Data journalism is a new genre in journalism that utilizes data visualization to engage the audience in news reporting. This engagement also provides certainty and minimizes the spread of misinformation regarding the COVID-19 vaccination policy in Indonesia. This study aims to explain how data journalism-based media, which is Katadata.co.id, communicates their news and embodies audience engagement through data visualization. The type of research is content analysis with quantitative and qualitative data collection techniques. In quantitative data collection, 49 news titles were searched, which were the results of keyword discovery in January-March 2021 in the "Data Journalism" rubric of Katadata.co.id. The …

Film As A Mass Communication Media: Analysis Of Moral Messages Through Omar Hana's Film, M. Ali Sibram Malisi, Surawan Surawan, Sayyidatul Hasanah, Siti Zaida Hanum

Informasi

Morals are a very important element in a person's life because someone who has character means having a benchmark for the quality of his personality. Moral education can be instilled in various ways, one of which is through technological sophistication. Technology that can be said to be not new and growing rapidly is film. One of the films that entertain and educate today is the animated film, Omar and Hana. The purpose of this research is to analyze what are the values of moral education in the animated film Omar and Hana. This study uses a qualitative research approach with …

Framing Science In The Time Of Covid-19 Pandemic: Lessons From Cnn Philippines' Reportage, Ernesto Cordero Collo

Informasi

This century has necessitated scholars to probe the credence of science in the news reportage of the Covid-19 pandemic. Therefore, this paper aims to establish the locus of science as treated by CNN against the backdrop of this global health crisis. Using Nisbet's (2009) typology as the new paradigm in public engagement as informed by content analysis, this paper argues that CNN Philippines' news articles are mostly framed as scientific/technical uncertainty which holds science with the highest esteem in decision-making, but it also disregards its authority for political reasons. As guided by Yanovitzky and Weber (2019), this paper also articulates …