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Articles 15721 - 15750 of 18312
Full-Text Articles in Physical Sciences and Mathematics
Exploring Implementation Strategies Of Iot Technology In Organizations: Technology, Organization, And Environment, Khanhhung Hoang Pham
Exploring Implementation Strategies Of Iot Technology In Organizations: Technology, Organization, And Environment, Khanhhung Hoang Pham
Walden Dissertations and Doctoral Studies
AbstractAfter organizations successfully adopt the internet of things (IoT) technology, many corporate information technology (IT) leaders face challenges during the implementation phase. Corporate IT leaders' potential failures in implementing IoT devices may impede organizations from integrating IoT solutions and promoting business benefits. Grounded in technology-organization-environment (TOE) theory, the purpose of this qualitative, pragmatic inquiry study was to explore strategies that corporate IT leaders use to implement IoT technology in their organizations. The participants were six corporate healthcare IT leaders who successfully used implementation strategies for implementing IoT solutions for their organizations. Data were collected using semistructured interviews and industry security …
The Impact Of A Gencyber Camp On In-Service Teachers’ Tpack, Kevin M. Thomas, Jessica Ivy, Kristin Cook, Robert R. Kelley
The Impact Of A Gencyber Camp On In-Service Teachers’ Tpack, Kevin M. Thomas, Jessica Ivy, Kristin Cook, Robert R. Kelley
Journal of Cybersecurity Education, Research and Practice
The purpose of this study was to examine the impact of a GenCyber camp curriculum on teachers’ technology, pedagogy, and content knowledge (TPACK). The camp was designed to engage participants in developing the knowledge and skills to incorporate GenCyber Cybersecurity First Principles and GenCyber Cybersecurity Concepts (GenCyber, 2019) into their curriculums. Participants (37 middle and high school teachers from a variety of disciplines) attended one of two weeklong camps held at a Midwestern liberal arts university. Using the TPACK Self-Reflection and TPACK Self-Assessment Surveys, pre- and post-camp data were collected from participants. Findings indicate that participants demonstrated an increase in …
Factors Influencing The Effectiveness Of Managing Human–Robot Teams, Theodore B. Terry
Factors Influencing The Effectiveness Of Managing Human–Robot Teams, Theodore B. Terry
Walden Dissertations and Doctoral Studies
Certain factors can influence the capabilities of a robot–human team by affecting their social and behavioral dynamics in a work environment. But these factors were not known due to the progressive nature of human–robot partnerships and a lack of peer-reviewed literature on the topic. This e-Delphi study aimed to identify and understand these unknown influential factors based on the participants’ insights. The overarching research question asked about the need to determine factors that might influence the effectiveness of managing human-robot teams. The basis for the conceptual framework for this study was the theory of communication used in organizational management. Twelve …
Successful Strategies For Adopting Electronic Medical Records Systems At Hospitals, Vazi Okhandiar
Successful Strategies For Adopting Electronic Medical Records Systems At Hospitals, Vazi Okhandiar
Walden Dissertations and Doctoral Studies
Some healthcare leaders lack strategies to successfully implement electronic medical record (EMR) systems to improve patient care efficiency and effectiveness. Grounded in the technology acceptance model, the purpose of this qualitative multiple case study was to explore strategies healthcare leaders use to implement EMR systems. The participants comprised five healthcare leaders who implemented EMRs in U.S. hospitals. Data were collected using semistructured interviews, government websites, and relevant documents and analyzed using Yin’s five-step data analysis method. Three themes emerged: (a) adequate training, (b) workflow analysis, and (c) technical support. A key recommendation is for management to provide customized training to …
Grade K-5 Teachers’ Perceptions Of Professional Development That Supports Mathematics Instruction, Shannon Annette Manley
Grade K-5 Teachers’ Perceptions Of Professional Development That Supports Mathematics Instruction, Shannon Annette Manley
Walden Dissertations and Doctoral Studies
Many Grade K-5 teachers in the United States do not receive the mathematics support they need from the professional development (PD) activities offered by their school districts. The purpose of this qualitative research was to explore the perceptions of Grade K-5 teachers on the PD activities they received from their school district to support mathematics instruction. The conceptual framework that supported this study was andragogy, an adult learning theory that takes the learner’s needs into account and values the connection to real-world situations. The research question addressed how Grade K-5 teachers perceive the PD that they were offered by their …
Toward Permutation Bases In The Equivariant Cohomology Rings Of Regular Semisimple Hessenberg Varieties, Megumi Harada, Martha Precup, Julianna Tymoczko
Toward Permutation Bases In The Equivariant Cohomology Rings Of Regular Semisimple Hessenberg Varieties, Megumi Harada, Martha Precup, Julianna Tymoczko
Mathematics Sciences: Faculty Publications
Recent work of Shareshian and Wachs, Brosnan and Chow, and Guay-Paquet connects the wellknown Stanley–Stembridge conjecture in combinatorics to the dot action of the symmetric group Sn on the cohomology rings H∗ (Hess(S, h)) of regular semisimple Hessenberg varieties. In particular, in order to prove the Stanley–Stembridge conjecture, it suffices to construct (for any Hessenberg function h) a permutation basis of H∗ (Hess(S, h)) whose elements have stabilizers isomorphic to Young subgroups. In this manuscript we give several results which contribute toward this goal. Specifically, in some special cases, we give a new, purely combinatorial construction of classes …
Beyond A Liberal Reading Of Insurgent In Transformative Planning Practices, Efadul Huq
Beyond A Liberal Reading Of Insurgent In Transformative Planning Practices, Efadul Huq
Environmental Science and Policy: Faculty Publications
No abstract provided.
Noaa Hollings Internship - Nw Fisheries Science Center, Zofia Danielson
Noaa Hollings Internship - Nw Fisheries Science Center, Zofia Danielson
College of the Environment Internship Reports
learn how to develop research questions based on preexisting data, build my R statistical programming skills, analyze large datasets, continue to build my skillset in ArcGIS mapping software, and learn how to write and present a cohesive report of the results of this analysis. The objectives of the research project were to quantify patterns of vertical movement and activity level for Endangered Species Act-listed (ESA) yelloweye rockfish at hourly and seasonal scales and determine whether environmental covariates, such as currents, ocean temperature, and dissolved oxygen (DO) concentration, affect these patterns. This work resulted in a presentation a NOAA Hollings Scholar …
Municipal Solutions To Climate Change ; A Case Study Of Stream Daylighting In Suffolk County, New York, Madison Hrysko
Municipal Solutions To Climate Change ; A Case Study Of Stream Daylighting In Suffolk County, New York, Madison Hrysko
Legacy Theses & Dissertations (2009 - 2024)
During the 1950’s and 1960’s Suffolk County, New York experienced rapid urbanization and development. To pave way for infrastructure, hydrological modifications were made to the land including the burial of naturally flowing streams. Daylighting streams is the nature-based process of bringing buried streams back to the surface. In turn, restoring ecosystem services, increasing local resilience to climate change impacts, and expanding biodiversity. Minimal research has been done using GIS technology alongside a set of criteria to select best fit streams for daylighting. This thesis aims to fill that gap by identifying best and second-best fit streams for daylighting in Suffolk …
First Homoleptic Rare Rarth Metal Complexes With Doubly-Reduced Dibenzocyclooctatetraene, James C. Mahoney
First Homoleptic Rare Rarth Metal Complexes With Doubly-Reduced Dibenzocyclooctatetraene, James C. Mahoney
Legacy Theses & Dissertations (2009 - 2024)
A set of novel complexes of rare earth elements, M(III) = Y, La, Gd, Tb, and Dy, with the doubly-reduced dibenzo[a,e]cyclooctatetraene (DBCOT) anion has been synthesized and crystallographically characterized for the first time. Preparation of new complexes has been accomplished through the ligand-metathesis reaction of M(III) triiodides with K2(DBCOT) in THF at ambient conditions. Subsequent crystallization via slow solvent evaporation afforded single crystals of good quality. X-ray diffraction technique confirmed that all complexes are isomorphous and conform to the [M(DBCOT)(THF)4][M(DBCOT)2] composition. In their crystal structures, the monoanionic double-decker sandwiches, [M(DBCOT)2], weakly interact with the cationic counterparts, [M(DBCOT)(THF)4]+. In both parts, …
Trace Elements In Nails And Anemia In Children Living Along The Interoceanic Highway, Madre De Dios, Peru / Narrative Competence And Cognitive Mapping As A Culturally Sustaining Pedagogy In The Education Of Emergent Bilinguals, Tia Marks
Legacy Theses & Dissertations (2009 - 2024)
Anthropogenic changes in the Peruvian Amazon, including deforestation, highway development, agriculture, and artisanal and small-scale gold mining (ASGM), have increased community concern about potential exposures toxic trace elements (TTE) including arsenic (As), cadmium (Cd), mercury (Hg), and lead (Pb). Such exposures can lead to detrimental health effects in children, such as developmental delays and anemia. The overarching goal of my dissertation was to understand exposure to both toxic and essential (manganese (Mn), selenium (Se), and zinc (Zn)) trace elements, anemia prevalence, and the associations between hemoglobin (Hb) levels and trace elements. To do this, I leveraged existing data from a …
Introducing R, Lawrence Leemis
Introducing R, Lawrence Leemis
Arts & Sciences Book Chapters
R is an open source programming language and interactive programming environment that has become the software tool of choice in data analytics. Learning Base R provides an introduction to the language for those with and without prior programming experience. It introduces the key topics that you will need to begin analyzing data and programming in R. The focus here is on the R language rather than a particular application. Within the text, there are 200 exercises to assess your R skills.
Irradiance Source For Exoplanet Atmospheric Spectra, Savannah Lyons
Irradiance Source For Exoplanet Atmospheric Spectra, Savannah Lyons
Master's Theses and Doctoral Dissertations
The quantity and diversity of the known exoplanets have grown in recent years. This has brought about a need for more efficient methods of narrowing down the list to those exoplanets most likely to sustain life. The Atmosphere in a Test Tube project, which began at the University of Padova, Italy, is accomplishing this in a laboratory setting through examination of exoplanet atmospheric responses to photosynthetic bacteria under simulations of the irradiance conditions of a planet’s host star. The goal of this project was to design and construct a second-generation apparatus at Eastern Michigan University. The team focused on an …
Emissions, Shawn Urbanski, Susan O'Neill, Amara L. Holder, Sarah Green, Rick L. Graw
Emissions, Shawn Urbanski, Susan O'Neill, Amara L. Holder, Sarah Green, Rick L. Graw
Michigan Tech Publications
This chapter assesses the current state of the science regarding the composition, intensity, and drivers of wildland fire emissions in the USA and Canada. Globally and in the USA wildland fires are a major source of gases and aerosols which have significant air quality impacts and climate interactions. Wildland fire smoke can trigger severe pollution episodes with substantial effects on public health. Fire emissions can degrade air quality at considerable distances downwind, hampering efforts by air regulators to meet air standards. Fires are a major global source of aerosols which affect the climate system by absorbing and scattering radiation and …
Segmentation Of The Wassuk Range Normal Fault System, Nevada (Usa): Implications For Earthquake Rupture And Walker Lane Dynamics, Benjamin E. Surpless, Sarah Thorne
Segmentation Of The Wassuk Range Normal Fault System, Nevada (Usa): Implications For Earthquake Rupture And Walker Lane Dynamics, Benjamin E. Surpless, Sarah Thorne
Geosciences Faculty Research
Normal faults are commonly segmented along strike, with segments that localize strain and influence propagation of slip during earthquakes. Although geometry of segments can be constrained by fault mapping, it is challenging to determine seismically relevant segments along a fault zone. Because slip histories, geometries, and strength of linkages between normal fault segments fundamentally control the propagation of rupture during earthquakes, and differences in segment slip rates result in differential uplift of adjacent footwalls, we use along‐ strike changes in footwall morphology to detect fault segments and the relative strength of the mechanical links between them.
We apply a new …
Proteome Database, Mariana Rius, Jackie L. Collier, Joshua Rest
Proteome Database, Mariana Rius, Jackie L. Collier, Joshua Rest
SoMAS Research Data
No abstract provided.
Coastal Waccamaw Stormwater: Education Consortium, Kove Lambert
Coastal Waccamaw Stormwater: Education Consortium, Kove Lambert
Goal 1: No Poverty
No abstract provided.
Electrochemical Gelation Of Metal Chalcogenide Quantum Dots, Chathuranga Chinthana Hewa Rahinduwage
Electrochemical Gelation Of Metal Chalcogenide Quantum Dots, Chathuranga Chinthana Hewa Rahinduwage
Wayne State University Dissertations
Quantum dots (QDs) are attractive because of their unique size-dependent optical and electronic properties and high surface area. They are tested in research for diverse applications, including energy conversion, catalysis, and sensing. Assembling QDs into functional solid-state devices while preserving their attractive properties is a challenge. Methods currently under the research are not effective in directly fabricating QDs onto devices, making large area assemblies, maintaining the high surface area by forming 3D porous structures, and conducting electricity for applications such as sensing. QD gels are an example of QD assemblies that consist of a 3D porous interconnected QD network. They …
Study Of The Decay B^± → K^0_S Π^± Π^0 At The Belle Experiment, Suravinda Janaka Kumara Kospalage
Study Of The Decay B^± → K^0_S Π^± Π^0 At The Belle Experiment, Suravinda Janaka Kumara Kospalage
Wayne State University Dissertations
Belle is a particle physics experiment based at the KEK laboratory in Tsukuba Japanwhich ran from 1999 to 2010 and collected 1ab−1 of data. The Belle experiment is focused on studying the properties of particles called B mesons which are produced by accelerating and colliding electron and positron beams. These B mesons show the biggest differences between the properties of matter and anti-matter of any known particles. One of the main goals of the Belle experiments is to understand the differences between matter and anti-matter, specifically violations of charge-parity symmetry (CP violation) and how anti-matter vanished and we come to …
Integral Representations Of Sl_2(Z/Nz), Yatin Dinesh Patel
Integral Representations Of Sl_2(Z/Nz), Yatin Dinesh Patel
Wayne State University Dissertations
The aim of this work is to determine for which commutative rings integral representations of SL_2(Z/nZ) exist and to explicitly compute them. We start with R = Z/pZ and then consider Z=p^\lambda Z. A new approach will be used to do this based on the Weil representation. We then consider general finite rings Z/nZ by extending methods described in [26]. We make extensive use of group theory, linear representations of finite groups, ring theory, algebraic geometry, and number theory. From number theory we will employ results regarding modular forms, Legendre symbols, Hilbert symbols, and quadratic forms. We consider the works …
Phenanthroline-Catalyzed 1,2-Cis Glycosylation: Scope And Mechanism, Jiayi Li
Phenanthroline-Catalyzed 1,2-Cis Glycosylation: Scope And Mechanism, Jiayi Li
Wayne State University Dissertations
Phenanthroline, a rigid and planar organic compound with two fused pyridine rings, has been used as a powerful ligand for metals and a binding agent for DNA/RNA. We recently discovered that phenanthroline could be used as a nucleophilic catalyst to access high yielding and diastereoselective α-1,2-cis glycosides through the coupling of hydroxyl acceptors with α-glycosyl bromide donors. The utility of the phenanthroline catalysis is expanded to sterically hindered hydroxyl nucleophiles and chemoselective coupling of an alkyl hydroxyl group in the presence of a free C1-hemiacetal functionality. In addition, the phenanthroline-based catalyst has a pronounced effect on site-selective couplings of triol …
Sequences Of Random Matrices Modulated By A Discrete-Time Markov Chain, Huy Nguyen
Sequences Of Random Matrices Modulated By A Discrete-Time Markov Chain, Huy Nguyen
Wayne State University Dissertations
In this dissertation, we consider a number of matrix-valued random sequences that are modulated by a discrete-time Markov chain having a finite space.Assuming that the state space of the Markov chain is large, our main effort in this work is devoted to reducing the complexity. To achieve this goal, our formulation uses time-scale separation of the Markov chain. The state-space of the Markov chain is split into subspaces. Next, the states of the Markov chain in each subspace are aggregated into a ``super'' state. Then we normalize the matrix-valued sequences that are modulated by the two-time-scale Markov chain. Under simple …
Electrochemistry Of Bubbles: Developing New Sensors, Promoting Gas Evolution Reactions, And Extraction Of Rare Earth Elements, Ruchiranga R. Ranaweera
Electrochemistry Of Bubbles: Developing New Sensors, Promoting Gas Evolution Reactions, And Extraction Of Rare Earth Elements, Ruchiranga R. Ranaweera
Wayne State University Dissertations
This dissertation presents new analytical, electrocatalysis, and separation strategies that utilize bubble behaviors in different electrochemical systems. The first part of this dissertation focuses on the method development for PFAS preconcentration and detection. First, we present the bubble-nucleation-based electrochemical method for the selective and sensitive detection of surfactants. Our method utilizes the high surface activity of surfactant analytes to affect the electrochemical bubble nucleation and then transduces the change in nucleation condition to an electrochemical signal for determining the surfactant concentration. Using this method, we demonstrate the quantitation of perfluorinated surfactants in water, a group of emerging environmental contaminants, with …
Effect Of Nest Box Temperature Mitigation Treatments On Nest Success And Nestling Condition In A Southeastern Population Of Eastern Bluebirds (Sialia Sialis), Christopher G. Horacek, Katie Stumpf, Wayne Powell
Effect Of Nest Box Temperature Mitigation Treatments On Nest Success And Nestling Condition In A Southeastern Population Of Eastern Bluebirds (Sialia Sialis), Christopher G. Horacek, Katie Stumpf, Wayne Powell
Graduate Research Showcase
Understanding behavioral responses of wildlife to climate change will be important as global temperatures continue to rise. Effects of rising temperatures may impact many species, including those that breed in seemingly protected nests, such as cavity nesting birds. Variations in nest cavity microclimate during the early development of secondary cavity nesting passerines may affect the growth of offspring and impact nesting success and survival. We examined the effect of two heat mitigation treatments (white exterior, n=11, and an internal foil heat shield, n=16) and nest box opening orientation (north, south, east, west) on internal nest box temperatures and the effect …
Environmental Racism In Baltimore: A Geographical Study Into The Connections Between Environmental Toxins And Public Health, Genevieve Block
Environmental Racism In Baltimore: A Geographical Study Into The Connections Between Environmental Toxins And Public Health, Genevieve Block
Honors Theses
An investigation into the relationship between environmental toxins and environmental racism in Baltimore City, Maryland.
Novel Primitive Decompositions For Real-World Physical Reasoning, Mackie Zhoou, Bridget Duah, Jamie C. Macbeth
Novel Primitive Decompositions For Real-World Physical Reasoning, Mackie Zhoou, Bridget Duah, Jamie C. Macbeth
Computer Science: Faculty Publications
In this work, we are concerned with developing cognitive representations that may en- hance the ability for self-supervised learning systems to learn language as part of their world explorations. We apply insights from in-depth language understanding systems to the problem, specifically representations which decompose language inputs into language-free structures that are complex combinations of primitives representing cognitive abstractions such as object permanence, movement, and spatial relationships. These decompositions, performed by a system traditionally called a conceptual analyzer, link words with complex non-linguistic structures that engender the rich relations between language expressions and world exploration that are a familiar aspect of …
Interleaving A Symbolic Story Generator With A Neural Network-Based Large Language Model, Jingwen Xiang, Zoie Zhao, Mackie Zhou, Megan Mckenzie, Alexis Kilayko, Jamie C. Macbeth, Scott Carter, Katharine Sieck, Matthew Klenk
Interleaving A Symbolic Story Generator With A Neural Network-Based Large Language Model, Jingwen Xiang, Zoie Zhao, Mackie Zhou, Megan Mckenzie, Alexis Kilayko, Jamie C. Macbeth, Scott Carter, Katharine Sieck, Matthew Klenk
Computer Science: Faculty Publications
Research in deep learning has recently produced models of natural language that are capable of generating natural language output which, at a glance, has strong similarities to that written by intelligent humans. However, the texts produced by deep learning-based large language models (LLMs), upon deeper examination, reveal the challenges that they have in producing outputs that maintain logical coherence. One specific application area of interest for LLMs is in fictional narrative generation, a mode of operation in which stories are generated by the model in response to a prompt text that indicates the start of a story or the desired …
Script Combination For Enhanced Story Understanding And Story Generation Systems, Megan Mckenzie, Alexis Kilayko, Jamie C. Macbeth, Scott Carter, Katharine Sieck, Matthew Klenk
Script Combination For Enhanced Story Understanding And Story Generation Systems, Megan Mckenzie, Alexis Kilayko, Jamie C. Macbeth, Scott Carter, Katharine Sieck, Matthew Klenk
Computer Science: Faculty Publications
Scripts, knowledge structures defining sequences of events in stereotypical social situations, were traditionally used to simulate the ways in which people can infer unstated details in understanding a story. In this paper, we describe the MUltiple SCRipt AcTivator (MUSCRAT), and the Script Combination Applier Mechanism (SCAM), significant enhancements of Cullingford’s Script Applier Mechanism which accomplish two novel aims. One system, MUSCRAT, is able to activate more than one script and use them during a story understanding process. The second system, SCAM, uses scripts for story generation, using script variables as “terminals” for combining two or more scripts together to create …
International Research Experience For Native American Students In Iot-Enabled Environmental Monitoring Technologies, J. Wang, J.M.D. Motschenbacher, A. Finley
International Research Experience For Native American Students In Iot-Enabled Environmental Monitoring Technologies, J. Wang, J.M.D. Motschenbacher, A. Finley
School of Natural Resources: Faculty Publications
No abstract provided.
Atmospheric Retrieval: Bayesian Methods, Machine Learning, And Application To Exoplanets, Michael Himes
Atmospheric Retrieval: Bayesian Methods, Machine Learning, And Application To Exoplanets, Michael Himes
Electronic Theses and Dissertations, 2020-2023
Atmospheric retrieval is the inverse modeling method where atmospheric properties are constrained based on measured spectra. Due to the low signal-to-noise ratios of exoplanet observations, exoplanetary retrieval codes pair a radiative transfer (RT) simulator with a Bayesian statistical framework in order to characterize the distribution of atmospheric parameters that could explain the observations (the posterior distribution). This requires on the order of 106 RT model evaluations, which requires hours to days of compute time depending on model complexity. In this work, I investigate atmospheric retrieval methods and apply them to observations of hot Jupiters. Chapter 2 presents a set of …