Digital Commons Network^™

Perceptions Of Early Childhood System Partners On Career Pathways, Melissa Larson Busby

Walden Dissertations and Doctoral Studies

Researchers have found high-quality early childhood teachers are crucial to high-quality programs for young children. Despite this, there is a significant need for more highly qualified teachers in a southwestern state. The purpose of the qualitative study was to explore the perceptions of early childhood education (ECE) systems partners in one southwestern state regarding the current systems, structures, and policies related to career pathways through the high school, community college, and university levels. The conceptual framework for this study was based on von Bertalanffy’s general systems theory and systems thinkers such as Senge, who detail the complex interactions between systems …

Geneseo Authors Celebration 2024, Milne Library

Geneseo Authors Celebration

Milne Library began a tradition of celebrating faculty authorship in 2009 with a series of workshops and a celebration in collaboration with the Teaching and Learning Center. Over the years it has evolved to more accurately reflect on the variety of academic and creative work done here at Geneseo. The annual Geneseo Authors Celebration is an opportunity for the Library and the campus to celebrate the faculty and truly acknowledge the time and effort that faculty have invested into creating exceptional works that contribute to the scholarly discussions taking place in their disciplines.

In late fall 2024, when the Geneseo …

Perceptions Of Early Childhood System Partners On Career Pathways, Melissa Larson Busby

Walden Dissertations and Doctoral Studies

Researchers have found high-quality early childhood teachers are crucial to high-quality programs for young children. Despite this, there is a significant need for more highly qualified teachers in a southwestern state. The purpose of the qualitative study was to explore the perceptions of early childhood education (ECE) systems partners in one southwestern state regarding the current systems, structures, and policies related to career pathways through the high school, community college, and university levels. The conceptual framework for this study was based on von Bertalanffy’s general systems theory and systems thinkers such as Senge, who detail the complex interactions between systems …

Muqarnas In Damascus: A Forgotten Treasure’S History, Inception And Geometry, Nahed Jawad Chakouf

All Works

The architecture of the Islamic world encompasses both religious and secular buildings that are unified by the use of a common architectural language, which includes architectural elements such as minarets, domes and arches, ornamental details, and vaulting with the use of muqarnas. The study provides a broad overview of the development of Islamic architecture, focusing on Damascus, the early Islamic period, the mid-Islamic period and the late Islamic period. The late Islamic period includes Ottoman art, with architecture influenced by Byzantine, Persian, Armenian, and Mamluk artefacts, but differs from their predecessors. The researcher undertook a geometric analysis of the muqarnas …

Digital Twin And Cybersecurity In Additive Manufacturing, Lidong Wang

Journal of Cybersecurity Education, Research and Practice

Additive manufacturing (AM) has been applied to automotive, aerospace, medical sectors, etc., but there are still challenges such as parts’ porosity, cracks, surface roughness, intrinsic anisotropy, and residual stress because of the high level of thermal gradient. It is significant to conduct the modeling and simulation of the AM process and achieve quality products. Digital Twin (DT) can help AM with forecasting defects/errors through simulation and real-time process monitoring. DT is a concept of Industry 4.0, and its digital structure reflects the real-time behaviors of a cyber-physical or physical system. This paper introduces the progress of DT applications in AM, …

Increasing Youth Engagement In Community Heritage And Social Justice Through Implementation Of A Youth Participatory Empowerment Model, Jancarlos Wagner-Romero, Mary Gillis, Lindsay Clemens, Amanda J. Dworak Rowland, Curlinda Mitchell-Blacksheep, Melanie Canaday-Talley

Journal of Multicultural Affairs

Youth in traditionally marginalized communities are often the target of policies and practices without the opportunity to provide input. This article highlights effective strategies to empower youth to become active participants in their communities. Using a Youth Participatory Empowerment Model (YPEM), youth participants from six demographically distinct communities engaged in YPEM-supported activities and strategies to identify and address a need within their community. To gain insight into successful strategies, qualitative data from pre and post implementation focus group interviews and observational field notes informed the conclusions. The participant youth represent tribal, undocumented, rural, suburban, and urban youth from underserved populations. …

Functionalism, Algorithms And The Pursuit Of A Theory Of Mind For Artificial Intelligence, Victor Mureithi

Critical Humanities

Abstract.

The advancement of computing technology has given rise to an interesting thesis: the human brain can be studied and understood as operating on the principles of a digital computer. The claim later became a more substantial thesis: the Mind is a computer since the Mind is actualized in the brain. The recent success of large language models (LLMs) such as Bard (produced by Google), GPT3, ChatGPT (also known as GPT3.5, produced by OpenAI-Microsoft), and LLaMA (produced byMeta) has brought greater attention and focus to the discussion of human versus machine intelligence. The result has been a pursuit of a …

Exploring Blockchain Technology: Applications And Insights Across Multiple Fields, Zarella Valentina Burbano Vallejo, Edgar Dario Obando Paredes

AUIQ Technical Engineering Science

Blockchain is a digital recording technology where each block contains encrypted data linked to previous blocks, forming an immutable and transparent sequence. This review systematically analyzes the applications and evolution of blockchain technology across multiple sectors from 2021–2023. peer-reviewed articles focused on key areas such as finance, healthcare, energy, and supply chain management. The findings highlight blockchain's transformative potential, including its ability to enhance security through encryption and decentralization, improve trust and data integrity, and eliminate intermediaries, enabling faster transactions and cost reduction. However, challenges such as scalability issues, high energy consumption in cryptocurrency mining, privacy concerns due to the …

Butte Priority Soils Operable Unit Sbcca Principles For A Greener Cleanup Report, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Community College Faculty Use Of Universal Design For Learning (Udl): A Participatory Action Research Dissertation Study, Marjorie Barnes

Theses and Dissertations

This participatory action research (PAR) dissertation study investigates the implementation of Universal Design for Learning (UDL) principles by community college faculty in first-year writing courses to support students with learning disabilities at a New Jersey community college. Through a collaborative approach involving faculty as active participants, the study explores how UDL guidelines are integrated into writing assignments for ENG 101 and ENG 102. Through iterative cycles of planning, action, observation, and reflection, the research explores how faculty implement UDL guidelines to enhance accessibility and inclusivity in their writing assignments. Data collection methods include focus group interviews, document analysis, and the …

Bryan Range V. Attorney General United States

2024 Decisions

USDC for the Eastern District of Pennsylvania

Importance Of The Hemoglobin Glycation Index For Risk Of Cardiovascular And Microvascular Complications And Mortality In Individuals With Type 2 Diabetes (Endocrinol Metab 2024;39:732-47, Claudia Regina Lopes Cardoso Et Al.), Stuart A. Chalew

School of Medicine Faculty Publications

No abstract provided.

Reconstructing Superoscillations Buried Deeply In Noise, Derek D. White, Shunxing Zhang, Barbara Šoda, Achim Kempf, Daniele C. Struppa, Andrew N. Jordan, John C. Howell

Mathematics, Physics, and Computer Science Faculty Articles and Research

We utilize a method using frequency combs to construct waves that feature superoscillations—local regions of the wave that exhibit a change in phase that the bandlimits of the wave should not otherwise allow. This method has been shown to create superoscillating regions that mimic any analytic function—even ones well outside the bandlimits—to an arbitrary degree of accuracy. We experimentally demonstrate that these waves are extremely robust against noise, allowing for accurate reconstruction of a superoscillating target function thoroughly buried in noise. We additionally show that such a construction can be easily used to range-resolve a signal well below the commonly …

Optimizing Transport Predictive Modeling With Simulation-Based Statistical Inference Authors, Mamunur Rashid, Quyen Tran

Mathematics Faculty Publications

Simulation-based statistical inference (SBI) leverages computer simulations to help scientists understand and analyze complex data. This paper explores how SBI techniques can be used to analyze transportation data. We use modern computational methods, including machine learning models, to improve the accuracy of predictions and decision-making in transportation planning. Our study focuses on two SBI methods, Approximate Bayesian Computation - Markov Chain Monte Carlo and Synthetic Likelihood, to create synthetic data for training machine learning models. These models show the potential of SBI to handle uncertain transportation data. It also highlights the practical benefits of SBI in making better decisions for …

Highway Crossing Rates Of Wild Felids Before, During, And After Wildlife Crossing Structure Installation, Sarah E. Lehnen, Mitch Sternberg, Hilary M. Swarts, John H. Young Jr., Victoria Hanley, Richard J. Kline

School of Earth, Environmental, & Marine Sciences Faculty Publications

In an environment increasingly dominated by roads, wildlife crossing structures (WCS) have been installed to decrease wildlife mortality and improve habitat linkages. In South Texas, vehicle collisions have been a major mortality source for the endangered ocelot ( Leopardus pardalis ). To mitigate threats to this species, eight WCS, along with associated fencing, were strategically placed along Farm‐to‐Market Road 106 (FM106), which passes through ocelot habitat. We assessed the rate of on‐roadway crossings and WCS use by GPS‐collared animals before, during, and after WCS installation using camera traps to verify WCS use. Because of the rarity of ocelots in this …

Narrative Engineering: Tools, Computational Structure, And Impact Of Stories, Michael A. Debuse

Theses and Dissertations

Computational Linguistics has a long history of applying mathematics to the grammatical and syntactic structure of language; however, applying math to the more complex aspects of language, such as narrative, plot, scenes, character relations, causation, etc. remains a difficult topic. The goal of my research is to bridge the narrative humanities with mathematics, to computationally grasp at these difficult topic, and help develop the field of Narrative Engineering. I view narrative and story with the same mathematical scrutiny as other engineering fields, to take the creativity and fluidity of story and encode it in mathematical representations that have meaning beyond …

Feasibility Of Lh2 Magnetic Positive Positioning To Minimize Spacecraft Propellant Tank Heat Leak, Emma Kate Hughes

Electronic Theses and Dissertations Archive

Previous studies have determined that a magnetically susceptible fluid can be influenced by a magnetic field of sufficient strength in low gravity conditions. The use of magnetic positive positioning to manipulate magnetically susceptible fluids has potential uses in both specifying location and reducing the thermal heat leak as a means of effective positive positioning. A computational simulation is used to model the phase separation in cryogenic propellant tanks as in previous studies, while an analytic model is created to represent the magnetic field of a real permanent magnet. Previous studies have focused on the cryogenic propellant, liquid oxygen, which is …

For A Better Tomorrow Partners With Iwu To Host Second Steam Olympics Competition, Jeffery Woodard

News and Events (Discontinued Series)

No abstract provided.

Quantitative Approaches To Unravel The Mechanobiology Of Cortical Folding, Ramin Balouchzadeh

McKelvey School of Engineering Graduate Student Theses & Dissertations

Quantitative Approaches to Unravel the Mechanobiology of Cortical Folding by Ramin Balouchzadeh Doctor of Philosophy in Mechanical Engineering Washington University in St. Louis, 2024 Professor Philip V. Bayly, Chair Professor Kara E. Garcia, Co-Chair Brain development is a highly complex process driven by mechanical forces and material properties that shape the cerebral cortex’s characteristic gyri and sulci. Abnormalities in this folding pro?cess are associated with neurodevelopmental disorders such as autism and schizophrenia. Despite significant advancements, the underlying mechanical principles governing brain morphogenesis remain incompletely understood. This body of work investigates three key aspects of brain de?velopment: stress-dependent growth, evolving tissue …

Coding For Decentralized Systems And Forensic 3d Fingerprinting, Canran Wang

McKelvey School of Engineering Graduate Student Theses & Dissertations

This dissertation presents novel coding techniques that optimize communication costs and address security challenges in decentralized systems and 3D printing technologies. The first part focuses on encoding data in distributed systems in a decentralized manner, i.e., without a central processor which orchestrates the operation. In such systems, processors require coded data generated from inputs provided by source processors. An example is a distributed storage system with geographically dispersed nodes storing a large database collected by specific source processors. To reduce communication costs, we propose a universal solution applicable to any linear code, with optimizations for systematic Reed-Solomon and Lagrange codes, …

Butte Priority Soils Operable Unit (Bpsou) Final Bpsou Insufficiently Reclaimed Sites Belle Of Butte (Bres No. 8 & Ur-39) Remedial Action Work Plan (Rawp) Request For Change Ir- 2024-Ra-02, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit (Bpsou) Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Third Quarter 2024., Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Measurement Of Breast Artery Calcification Using An Artificial Intelligence Detection Model And Its Association With Major Adverse Cardiovascular Events, Suzanne Rose, Josette Hartnett, Zachary Estep, Daniyal Ameen, Shweta Karki, Edward Schuster, Rebecca Newman, David Hsi

Department of Medicine Faculty Papers

Breast artery calcification (BAC) obtained from standard mammographic images is currently under evaluation to stratify risk of major adverse cardiovascular events in women. Measuring BAC using artificial intelligence (AI) technology, we aimed to determine the relationship between BAC and coronary artery calcification (CAC) severity with Major Adverse Cardiac Events (MACE). This retrospective study included women who underwent chest computed tomography (CT) within one year of mammography. T-test assessed the associations between MACE and variables of interest (BAC versus MACE, CAC versus MACE). Risk differences were calculated to capture the difference in observed risk and reference groups. Chi-square tests and/or Fisher's …

Physics-Informed Heterogeneous Spatiotemporal Graph Neural Network For Reservoir Simulation, Ahmed A.M.A. Abdullah

LSU Master's Theses

Reservoir simulation is the state-of-the-art method for predicting the flow of petroleum reservoir fluids in porous media. It provides an accurate and unbiased prediction of the performance of petroleum reservoirs under different operating conditions. Despite its advantages, reservoir simulation is computationally expensive; with typical full-field simulation models running for several hours. This limitation is worsened when simulating reservoirs with several equations for each cell, such as multiphysics or compositional reservoir simulation. The goal of this research is to provide a fast and accurate spatiotemporal machine-learning model that incorporates discretized governing mass balance equations for training. To achieve this, we propose …

Editorial: Artificial Intelligence For Smart Health: Learning, Simulation, And Optimization, Bing Yao, Nathan Gaw, Hyo Kyung Lee

Faculty Publications

With rapid developments in medical sensing and imaging, we now live in an era of data explosion in which large amounts of data are readily available in clinical environments. The fast-growing biomedical and healthcare data provide unprecedented opportunities for data-driven scientific knowledge discovery and clinical decision support. Our Research Topic aims to catalyze synergies among biomedical informatics, machine learning, computer simulation, operations research, systems engineering, and other related fields with three specific goals: (1) develop cutting-edge data-driven models to accelerate scientific knowledge discovery in biomedicine using healthcare data collected from laboratory systems, imaging systems, and medical and sensing devices; (2) …

Ethical Aspects Of Utilising Artificial Intelligence In Clinical Settings, Jeffrey Byrnes, Michael Robinson

Philosophy Faculty Articles and Research

In response to recent proposals to utilize artificial intelligence (AI) to automate ethics consultations in healthcare, we raise two main problems for the prospect of having healthcare professionals rely on AI-driven programs to provide ethical guidance in clinical matters. The first cause for concern is that, because these programs would effectively function like black boxes, this approach seems to preclude the kind of transparency that would allow clinical staff to explain and justify treatment decisions to patients, fellow caregivers, and those tasked with providing oversight. The other main problem is that the kind of authority that would need to be …

Design, Control, And Evaluation Of A Photovoltaic Snow Removal Strategy Based On A Bidirectional Dc-Dc Converter For Photovoltaic–Electric Vehicle Application, Salma Elakkad, Mohamed Hesham, Hany Ayad Bastawrous, Peter Makeen

Electrical Engineering

A novel self-heating technique is proposed to clear snow from photovoltaic panels as a solution to the issue of winter snow accumulation in photovoltaic (PV) power plants. This approach aims to address the shortcomings of existing methods. It reduces PV cell wear, resource loss, and safety risks, without the need for additional devices. A self-heating current is applied to the solar panel to melt the snow covering its surface, which is then allowed to slide off the panel due to gravity. The proposed system consists of a bidirectional DC-DC converter, which removes the snow cover by heating the solar PV …

Transparency And Authority Concerns With Using Ai To Make Ethical Recommendations In Clinical Settings, Jeffrey Byrnes, Michael Robinson

Philosophy Faculty Articles and Research

In response to recent proposals to utilize artificial intelligence (AI) to automate ethics consultations in healthcare, we raise two main problems for the prospect of having healthcare professionals rely on AI-driven programs to provide ethical guidance in clinical matters. The first cause for concern is that, because these programs would effectively function like black boxes, this approach seems to preclude the kind of transparency that would allow clinical staff to explain and justify treatment decisions to patients, fellow caregivers, and those tasked with providing oversight. The other main problem is that the kind of authority that would need to be …

Adaptive Lossy Color Image Compression System Based On Hybrid Algorithm, Husam Khalid Khammas, Ayça Kurnaz Türkben

Baghdad Science Journal

As the digital age progresses, multimedia technologies have become commonplace, with users expecting high-quality audio, video, and image content across various platforms and devices. As a result, the quantity of data produced by these multimedia programs has grown substantially. Also, the explosive growth in the use of multimedia has led to a rise in the quantity of images that are used and created, which creates challenges, in relation to the requirement for increased storage capacity and enhanced data transport speed. To address these challenges, image compression has emerged as a critical solution by decreasing the volume of the image without …

Determination Uranium And Its Isotopes In Biological Samples Of Smokers, Abdulhussein A. Alkufi, Mohanad H. Oleiwi, Ali Abid Abojassim, Noor Ulhuda G. Mohammed, Ali Saeed Jassim, Michele Guida

Baghdad Science Journal

This study was conducted in the Najaf Governorate- Iraq, to analyze biological samples from smokers and non-smokers. The samples, including blood serum, urine, hair, and nails, were used as biomarkers to determine uranium concentrations (UC) and isotopes (238U, 235U, and 234U). Using a natural exposure method, the nuclear track detector (CR-39, UK) was utilized to measure these Uc in the samples. Seventy-five samples of blood serum, urine, hair, and nails were collected for smokers of healthy people and fifty samples for non-smokers of healthy people in five age groups. This study was based on age and smoking to compare the …