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Articles 8701 - 8730 of 713670
Full-Text Articles in Entire DC Network
It Strategies Used To Implement Enterprise Resource Planning Systems, Michele Doverspike
It Strategies Used To Implement Enterprise Resource Planning Systems, Michele Doverspike
Walden Dissertations and Doctoral Studies
Enterprise resource planning (ERP) system implementation represents a significant challenge for small businesses, with failure rates that can lead to substantial financial losses and operational disruption. Information Technology (IT) managers in small businesses face a gap in evidence-based strategies tailored to their organizational context, increasing the risk of implementation failure and its associated financial and operational consequences. Grounded in general systems theory, the purpose of this qualitative multicase study was to explore the strategies IT managers use to implement ERP systems in small businesses in central Pennsylvania. The participants were six IT managers from small businesses in Pennsylvania who had …
Probing The Disequilibrium Chemistry Of Two Late T-Dwarfs Using Planetary Intensity Code For Atmospheric Scattering, Crystal-Lynn Jacqueline Bartier
Probing The Disequilibrium Chemistry Of Two Late T-Dwarfs Using Planetary Intensity Code For Atmospheric Scattering, Crystal-Lynn Jacqueline Bartier
Theses and Dissertations
We have performed a detailed analysis of the atmospheric properties of two late-T type brown dwarfs, 2MASSI J0415195-093506 and 2MASS J05591914-140448. For each brown dwarfs, we combined the spectra of each brown dwarf from the ground at 1-2.5 µm, AKARI at 2.5-5 µm, and from the Spitzer Space Telescope at 5-15 µm. For this project, we are particularly interested in probing the extent of vertical mixing. For this analysis, we used the Planetary Intensity Code for Atmospheric Scattering (PICASO), which is a code that creates a radiative transfer model for a given set of atmospheric parameters. With PICASO we find …
The Relational Good Life: Entrepreneurship Education And Grounded Sumak Kawsay In Otavalo, Ecuador, Vanessa I. Lozano Hardman
The Relational Good Life: Entrepreneurship Education And Grounded Sumak Kawsay In Otavalo, Ecuador, Vanessa I. Lozano Hardman
Theses and Dissertations
Indigenous Kichwa communities in Ecuador’s Otavalo region have long participated in local and transnational markets, historically as mindalaes, specialized traders of the northern Andes. Yet in recent years, international development-oriented NGOs have framed entrepreneurship education as newly necessary for economic development. These approaches emphasize individualized narratives of vision, self-reliance, and growth, often characterizing Indigenous peoples as lacking entrepreneurial skills or the appropriate mindset. Drawing on ethnographic research with youth, mothers, and teachers at Saminay–El Legado, an agro- technical, intercultural bilingual secondary school (UECIB) in the parish of San José de Quichinche, this article examines how entrepreneurship education intersects with grounded …
Mental Stress, Physical Activity And Reproductive Health: A Pilot Study On College-Aged Females In Stem, Ellie Nichols
Mental Stress, Physical Activity And Reproductive Health: A Pilot Study On College-Aged Females In Stem, Ellie Nichols
Honors Theses
Introduction: Undergraduate students enrolled in STEM (Science, Technology, Engineering and Mathematics) programs face rigorous academic demands that place them under immense stress. Chronic exposure to stress elevates cortisol, a key hormone known to disrupt endocrine function, including the reproductive system; such disruptions may contribute to menstrual irregularities. Among mediators that help the body return to homeostasis, physical activity (PA) is widely recognized as an effective tool for managing stress. Previous literature has documented the relationship between stress and reproductive health, however limited research has examined how PA may buffer stress related reproductive disruptions within the undergraduate STEM student population. This …
Cv: Erica Dávila (Educational Leadership), Erica Dávila
Cv: Erica Dávila (Educational Leadership), Erica Dávila
Education Department Faculty Curricula Vitae
No abstract provided.
Re: Approval Letter For The 2023 Butte Priority Soils Operable Unit (Bpsou) Stormwater Evaluation And Maintenance Report (Dated April 8, 2026), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Approval Letter For The 2024 Butte Priority Soils Operable Unit (Bpsou) Stormwater Evaluation And Maintenance Report (Dated April 8, 2026), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Approval Letter For The 2022 Butte Priority Soils Operable Unit (Bpsou) Stormwater Evaluation And Maintenance Report (Dated April 8, 2026), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Conditional Approval Letter For Diggings East 95 % Remedial Design Package Submittal (Dated March 25, 2006), The Silver Bow Creek Conservation Area (Sbcca) – 95 Percent Programmatic Technical Specifications Submittal (Dated March 25, 2026), The Butte Priority Soils Operable Unit (Bpsou) Sbcca Operations And Maintenance (O&M) Plan (Dated March 24, 2026), And The Sbcca Final Principles For A Greener Cleanup Report (Dated February 4, 2026), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Energetic Characterization Of 3-D Printed Acrylonitrile Butadiene Styrene Fuels For Hybrid Rocket Propulsion Applications, Stephen A. Whitmore, Ryan J. Thibaudeau, Ava T. Wilkey
Energetic Characterization Of 3-D Printed Acrylonitrile Butadiene Styrene Fuels For Hybrid Rocket Propulsion Applications, Stephen A. Whitmore, Ryan J. Thibaudeau, Ava T. Wilkey
Mechanical and Aerospace Engineering Faculty Publications
Hybrid rocket technologies are gaining recognition as eco-friendly alternatives to traditional propulsion systems. Utah State University’s Propulsion Research Laboratory has developed a High-Performance Green Hybrid Propulsion (HPGHP) technology, leveraging 3D-printed ABS fuel for reliable, low-energy ignition. Among tested materials, only ABS shows suitable electrical-breakdown properties for arc ignition. Unfortunately, due to the proprietary formulations in commercial ABS blends, and its limited use as a rocket-propellant, related composition and combustion data are limited. This study uses spectroscopic evaluation and bomb calorimetry to estimate material compositions, enthalpies of formation, and combustion energies for multiple commercially available 3-D print feed stock ABS types, …
A Computational Approach To Periodic Orbits Of State-Dependent Delay Differential Equations, Noah Corbett
A Computational Approach To Periodic Orbits Of State-Dependent Delay Differential Equations, Noah Corbett
Electronic Theses and Dissertations 2020 - Present
The field of delay differential equations (DDEs) concerns the study of systems whose evolution depends on certain past states of the system. Of particular interest are the state-dependent DDEs, whose delay terms are non-constant and depend on the current state itself. In this thesis, we provide rigorous solution-finding techniques for a certain class of one-dimensional state-dependent DDEs, as well as a state-dependent delayed Van der Pol equation. This technique is inspired by the classical Picard-Lindelof theorem and is successful in proving the existence and uniqueness of orbits in such systems under certain reasonable restrictions. We then employ the Lagrange-Chebyshev interpolating …
Patient-Level Breast Cancer Classification From Multi-View Mammography With Side-Specific Evidence For Interpretability, Bushra Intakhab
Patient-Level Breast Cancer Classification From Multi-View Mammography With Side-Specific Evidence For Interpretability, Bushra Intakhab
Electronic Theses and Dissertations 2020 - Present
Breast cancer remains one of the leading causes of cancer-related death among women. Early detection through screening mammography is therefore very important. However, mammogram interpretation can be difficult because abnormalities may be subtle and spread across different views. The increasing workload of radiologists can also affect timely analysis. Artificial intelligence (AI) has been widely explored to support mammography interpretation by improving speed and consistency. However, many existing AI methods focus on patch-level or image-level analysis rather than the full patient exam. This limits their ability to capture the complete clinical picture, since important information is distributed across multiple views. In …
Spot Scanning Proton Beams Characterization Via Plastic Scintillator Detector, Saad Bin Saeed Ahmed
Spot Scanning Proton Beams Characterization Via Plastic Scintillator Detector, Saad Bin Saeed Ahmed
Electronic Theses and Dissertations 2020 - Present
In spot scanning proton therapy, the machine steers magnetically a narrow pencil beam across the target volume, delivering highly conformal dose distributions layer by layer. As beam size is very small, this introduces a dosimetry problem. The beam is dynamic and the dose gradients are steep — conditions that push conventional ionization chambers beyond their reliable operating range. Plastic scintillation detectors offer a potential solution. Their sub-millimeter active volumes avoid the volume-averaging effects over larger chambers, and their very high temporal resolution making real-time monitoring feasible. This thesis characterizes the Blue Physics plastic scintillation detector in spot scanning proton fields …
Task-Relevant Haptic Feedback Improves Asymptotic Performance In De Novo Arm Control Acquisition, Ian Howard, Laura Alvarez Hidalgo
Task-Relevant Haptic Feedback Improves Asymptotic Performance In De Novo Arm Control Acquisition, Ian Howard, Laura Alvarez Hidalgo
School of Engineering, Computing and Mathematics
The human motor system can learn to control novel effectors, but the contribution of task-relevant haptic dynamics to de novo learning remains unclear. Using a bimanual robotic interface, participants learned over two days to control the shoulder and elbow angles of a virtual arm in order to achieve accurate endpoint movements via constrained handle motions. On Day 1, one group practiced a purely kinematic mapping, whereas another group received continuous haptic feedback generated by an endpoint mass. With practice, movements shifted from sequential to more coordinated control and trajectories became straighter, with reduced directional deviation during target-directed endpoint movements, particularly …
Integrated Vaccine Bundle Procurement Framework, Ming Zhu
Integrated Vaccine Bundle Procurement Framework, Ming Zhu
Theses
Childhood vaccination is among the most effective public health interventions, yet ensuring affordable access in low-income countries (LICs) remains challenging. Centralized procurement agencies such as UNICEF and Gavi purchase vaccines antigen-by-antigen through competitive tenders which is a practice that fails to capture the affordability gains attainable by coordinating vaccine products into optimized bundles tailored to each child’s complete immunization schedule. This study develops an Integrated Vaccine Bundle Procurement Framework that shifts the unit of procurement from the antigen level to the vaccine product level. The framework formulates the procurement as the construction and selection of child-level immunization bundles, feasible sets …
Learning At Scale As Infrastructure: Lms Platforms, Data Pipelines, And Language-Based Evidence For Educational Measurement, Danielle S. Mcnamara, Michelle Banawan, Renu Balyan, Rod D. Roscoe, Tracy Arner
Learning At Scale As Infrastructure: Lms Platforms, Data Pipelines, And Language-Based Evidence For Educational Measurement, Danielle S. Mcnamara, Michelle Banawan, Renu Balyan, Rod D. Roscoe, Tracy Arner
Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊
The increasing scale of digital learning environments has transformed the data available for educational measurement, learning analytics, and the learning sciences. However, learning at scale is often treated as a matter of sample size or novel analytic methods rather than as the outcome of institutional infrastructure that governs how learning data are generated, curated, transformed, and accessed. This paper offers an infrastructure-centered description of learning at scale, focusing on learning management systems (LMSs), platform-integrated tools, and data pipelines that produce research-ready educational data. As an illustrative exemplar, we draw on the design and operation of the Arizona State University Learning@Scale …
学生数学与科学学业成长的跨国评估研究 — 基于Timss2023国际纵向研究数据库, Bethany Fishbein, Ummugul Bezirhan, Matthias Von Davier
学生数学与科学学业成长的跨国评估研究 — 基于Timss2023国际纵向研究数据库, Bethany Fishbein, Ummugul Bezirhan, Matthias Von Davier
Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊
TIMSS2023纵向国际数据库提供了学生层面的纵向数据,这种率先尝试是国际大规模评估领域的重要突破。该数据库将2023年的TIMSS成绩和背景数据与2024年的后续数据相关联,使研究者能够直接评估学生在一学年里数学和科学能力的成长。该项目追踪收集了各参与地区四年级到五年级以及八年级到九年级的同一群体数据,数据库中丰富的背景数据、课程数据以及过程数据可以支持研究者们从教学实践、教育政策、学生态度、考试行为与学习轨迹的关系等多个角度开展研究。此外,作为一个免费数据库,TIMSS2023纵向国际数据库也为研究全球范围的教育成效和公平提供了新的契机。
International Measures Of Student Growth In Mathematics And Science Achievement: The Timss 2023 Longitudinal International Database, Bethany Fishbein, Ummugul Bezirhan, Matthias Von Davier
International Measures Of Student Growth In Mathematics And Science Achievement: The Timss 2023 Longitudinal International Database, Bethany Fishbein, Ummugul Bezirhan, Matthias Von Davier
Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊
The TIMSS 2023 Longitudinal International Database represents a major advancement in international large-scale assessment by providing the first student-level longitudinal extension of TIMSS. By linking achievement and contextual data from TIMSS 2023 with a follow-up data collection in 2024, the database enables direct measurement of student growth in mathematics and science over one year of schooling. The study follows cohorts from Grades 4 to 5 and Grades 8 to 9 across participating education systems. Rich contextual, curriculum, and process data support investigations into how instructional practices, system-level policies, student attitudes, and test-taking behaviors relate to learning trajectories. As a freely …
The Item Response Warehouse: What It Is, How To Use It, And Targets For Potential Improvements, Savira D. Nadela, Hansol Lee, Nishka Jain, Ayaan Gupta, Xingyi Zhang, Benjamin W. Domingue
The Item Response Warehouse: What It Is, How To Use It, And Targets For Potential Improvements, Savira D. Nadela, Hansol Lee, Nishka Jain, Ayaan Gupta, Xingyi Zhang, Benjamin W. Domingue
Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊
The Item Response Warehouse (IRW) is a repository of harmonized item response datasets designed to support secondary analysis and methodological research in psychological and educational measurement. This paper serves as a practical guide for researchers interested in using the IRW. We describe the structure of IRW datasets and the quantitative and qualitative metadata available for dataset selection, and we demonstrate how researchers can navigate the IRW website to explore and compare available tables. We further show how the IRW R and Python packages can be used to filter datasets programmatically, download response-level data, and generate standardized citations for reproducible research …
Editorial: Special Issue On Big Data Sources In Educational Measurement, Okan Bulut, Yi Zheng
Editorial: Special Issue On Big Data Sources In Educational Measurement, Okan Bulut, Yi Zheng
Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊
This editorial introduces CEJEME's Special Issue on Big Data Sources in Educational Measurement. As large-scale assessments, digital learning environments, and institutional systems generate increasingly complex data, they offer new opportunities for advancing research on student learning, assessment quality, and educational equity. This special issue presents three descriptive papers that introduce publicly shareable big data resources relevant to educational measurement, assessment, and evaluation. The three articles introduce a large-scale item response data repository, a longitudinal international assessment database for studying student growth, and a digital learning infrastructure supporting large-scale educational data. Together, this special issue aims to serve as both a …
Lists Of Selected Full-Text Databases By Subscription In East Asian Studies, Anlin Yang, Michiko Ito, Ellie Kim, Jian P. Lee
Lists Of Selected Full-Text Databases By Subscription In East Asian Studies, Anlin Yang, Michiko Ito, Ellie Kim, Jian P. Lee
Journal of East Asian Libraries
No abstract provided.
The Taichung Polyglot, Mårten S. Saarela
The Taichung Polyglot, Mårten S. Saarela
Journal of East Asian Libraries
No abstract provided.
Lessons Learned For Improving Trainee Engagement And Utilization Of Education And Training Materials For Cancer Research, Katerina M. Santiago, Tania Galindo, Michaela A. Dinan
Lessons Learned For Improving Trainee Engagement And Utilization Of Education And Training Materials For Cancer Research, Katerina M. Santiago, Tania Galindo, Michaela A. Dinan
Advances in Cancer Education and Quality Improvement
Background: A core component of the National Cancer Institute Cancer (NCI) Cancer Center Support Grant requires cancer centers to coordinate research career enhancement and related activities. The Yale Cancer Center, an NCI-designated comprehensive cancer center, established the Cancer Research Training and Education Coordination (CRTEC) component in 2016. In response to the needs of trainees, CRTEC has developed several initiatives that we have identified and described here as best practices to engage and support trainees.
Methods: We had 2 aims to improve engagement: 1) increasing our visibility and trainee awareness of CRTEC and nurturing bidirectional communication and 2) offering …
Graph Theoretical Modeling Of Self-Assembling Dna Of The Double Cone Graph, Philiffe Tebalan, Evan Burns
Graph Theoretical Modeling Of Self-Assembling Dna Of The Double Cone Graph, Philiffe Tebalan, Evan Burns
Rose-Hulman Undergraduate Mathematics Journal
The unique properties of double-stranded DNA molecules make DNA a valuable structural material with which to form nanostructures, and the field of DNA nanotechnology is largely based on this premise. By modeling nanostructures with discrete graphs, efficient DNA self-assembly becomes a mathematical puzzle. These nanostructures have wide-ranging applications, such as containers for the transport and release of nano-cargos, templates for the controlled growth of nano-objects, and in drug-delivery methods. This research centers around exploring graph theoretical and combinatorial properties of DNA self-assembly to optimize the nanostructure construction for the Double Cone Graph.
Objections To The Use Of The Axiom Of Choice To Model The Physical World, Kensey Doughtie
Objections To The Use Of The Axiom Of Choice To Model The Physical World, Kensey Doughtie
Rose-Hulman Undergraduate Mathematics Journal
We look at platonistic mathematics and the application of this perspective in the physical world. We recognize paradoxes within Zermelo–Fraenkel set theory with the axiom of choice (ZFC) that conflict with physical reality, giving us reason to question if the axiom of choice should be so freely applied in theories of the physical world especially since it appears to enable a deterministic perspective. In theories of quantum physics, the axiom of choice is used to assume noncomputable numbers as initial conditions. This is equivalent to assuming a finite system contains an infinite amount of information at an instant in time; …
A Numerical Analysis For Emerging Behaviors In Ferromagnetic Colloids, Cyrus Harris
A Numerical Analysis For Emerging Behaviors In Ferromagnetic Colloids, Cyrus Harris
Liberty University Research Week
The purpose of this project is to synthesize a CFD model which can explore the nature of vortices induced by alternating magnetic currents within colloid rollers. This type of research has been a point of interest in previous years especially for the application of targeted drug delivery. This research hopes to further establish and quantify the dynamics of these fluids in order to provide more numerical data for BioMed applications. In order to accomplish this, a simplified model of a Ginzburg Landau model (A coupled PDE solver) was created within the program Python in order to test the parameters of …
Hedging Without Derivatives: A Regime-Aware Framework For Managing Downside Risk In Long-Only Portfolios, Whittman Brown, Birhanu Kramer, Carter Hall, Ryan Natelborg, Walker Lucas
Hedging Without Derivatives: A Regime-Aware Framework For Managing Downside Risk In Long-Only Portfolios, Whittman Brown, Birhanu Kramer, Carter Hall, Ryan Natelborg, Walker Lucas
Liberty University Research Week
This study evaluates regime-based allocation strategies for downside risk management in long-only portfolios. Traditional portfolio risk management relies heavily on derivative instruments like protective puts and futures to mitigate downside. However, student-managed portfolios operate under strict regulatory and educational constraints, and lack continuous oversight required for active derivative management. Academic literature on regime-switching models and tactical asset allocation demonstrates that economic regimes influence portfolio returns, yet practical implementation studies for long-only investors remain underdeveloped. Limited empirical work examines whether systematic allocation adjustments based on regime identification provide downside protection comparable to derivative-based hedging strategies. We seek to address the research …
Knot Your Average Math Class: Exploring Curves And Curiosities, Jocelyn Bunster
Knot Your Average Math Class: Exploring Curves And Curiosities, Jocelyn Bunster
Proceedings of GREAT Day
Most people imagine advanced math as endless calculus classes or solving increasingly complicated equations. However, advanced mathematics also includes the study of knots—the same ones used to tie our shoes. In fact, the loop of a ponytail holder is one of the simplest mathematical knots. Would students sleep through math if they were learning about rope magic tricks? Knot theory, a branch of topology, is the study of closed curves. Despite it being considered an advanced topic, many of its fundamental concepts are accessible to high school students. Given the flexibility in New York State high school math graduation requirements, …
Rochester Elementary Schools: Progress, Challenges, And The Path To Equity, Aimee Maoriello
Rochester Elementary Schools: Progress, Challenges, And The Path To Equity, Aimee Maoriello
Proceedings of GREAT Day
How does the first city in New York State to desegregate its schools now present one of the most segregated school districts in the nation? This capstone thesis investigates the persistent achievement gaps in Rochester’s elementary schools, examining the long-lasting impacts of redlining, blockbusting, and racial covenants on educational outcomes of young learners today. Since its incorporation in 1834, Rochester’s residential demographics have shifted dramatically, resulting in a diverse population. The post-WWII migration to northern cities contributed to an explosive growth in the Black population by over 2,000% in Rochester. This demographic shift—while vital to the city’s cultural fabric—created challenges …
Dynamic Structural Load Identification, Sam Kim
Dynamic Structural Load Identification, Sam Kim
Liberty University Research Week
Structural Health Monitoring is a critical tool for analyzing infrastructure resilience. However, measuring dynamic external loads, such as wind, traffic, or seismic activity, remains a major engineering challenge. In order to address this “Inverse Problem” in structural dynamics, this study proposes a deep learning-based approach for structural load identification. To precisely reconstruct unknown force histories from vibration responses, a hybrid Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) architecture is created. Convolutional layers can filter raw data, and LSTM takes the refined features from the CNN and reconstructs the time-history force distributions. Combined, these two methods create an effective …