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Full-Text Articles in Entire DC Network
Effects Of Fine Sediment On The Productivity Of Stream Ecosystems In The Pacific Northwest, Veena I. Davis
Effects Of Fine Sediment On The Productivity Of Stream Ecosystems In The Pacific Northwest, Veena I. Davis
University Honors Theses
Salmon are important to the culture, ecosystem and economy of the Pacific Northwest. However, populations have declined significantly since European colonization. Salmon require specific conditions for each life stage and are highly sensitive to environmental stressors. Excess fine sediment is a leading form of pollution as it degrades salmon spawning habitat and the benthos upon which their main food source, stream insects, live. To evaluate the effect of sediment pollution on food availability for salmon smolt, we conducted an experiment estimating the amount of stream insect biomass and calories lost due to sediment pollution. We counted insects on substrate samples …
The Role Of Urban Forests In Mitigating Flooding Effects: A Case Study In Savannah, Georgia, Gillian Bush
The Role Of Urban Forests In Mitigating Flooding Effects: A Case Study In Savannah, Georgia, Gillian Bush
Undergraduate Theses, Capstones, and Recitals
Flooding in coastal communities is shaped by the interaction between natural systems and urban development. Chatham County, a low-elevation region in the Savannah, Georgia metropolitan area along the eastern coast of the United States, is prone to coastal storms and frequently affected by flooding. It serves as a useful case study to better understand the factors behind flooding and the areas that are most at risk. This study uses GIS-based analysis to examine the overlap between flood risk, urban forest cover, and impervious surfaces. The results indicate elevated vulnerability along major transportation corridors and barrier islands, where high-risk flood zones …
Digital Bodily Autonomy: Consent Issues, Labor Displacement, And Legal Understandings Of Ai Generated Deepfake Pornography, Mariah Barrett
Digital Bodily Autonomy: Consent Issues, Labor Displacement, And Legal Understandings Of Ai Generated Deepfake Pornography, Mariah Barrett
Undergraduate Theses, Capstones, and Recitals
In the United States, nonconsensual pornographic deepfakes are becoming an increasingly prevalent problem as AI deepfake creation software improves and becomes widely available. Despite this, patchwork legislation across the country is inconsistent and conflicting regarding this issue. In this paper, I explore the background of pornography and obscenity laws and demonstrate how these frameworks are not properly constructed to apply to the digital sphere. Then, I address major themes within deepfake literature such as consent issues, bodily autonomy, labor displacement, and verifiable identity as a commodity through the case study of OnlyFans. I explore current and proposed legislation within the …
Allosteric And Uncompetitive Inhibition Of Yeast Alcohol Dehydrogenase Identified By Enzyme Kinetics, Dylan Jeremy Harrison, Jenny A. Cappuccio
Allosteric And Uncompetitive Inhibition Of Yeast Alcohol Dehydrogenase Identified By Enzyme Kinetics, Dylan Jeremy Harrison, Jenny A. Cappuccio
IdeaFest: Interdisciplinary Journal of Creative Works and Research from Cal Poly Humboldt
Enzyme kinetics is a powerful technique used to quantify the rate at which an enzyme converts a substrate into a product and to identify potential inhibitors. In this study, kinetic analysis was employed to assess the activity of yeast alcohol dehydrogenase (YADH) in the presence and absence of sweeteners commonly found in alcoholic beverages. YADH catalyzes the oxidation of ethanol to acetaldehyde using NAD⁺ as a cofactor; the reduction to NADH can be monitored spectrophotometrically at 340 nm. Based on structural similarities to the ribose moiety of NAD⁺, it was hypothesized that sucrose and sucralose could directly interact with the …
Quantifying Terrain Controls On Satellite-Based Snow Water Equivalent Estimation: A Spatially Explicit Machine Learning Approach, Brant Giovannetti
Quantifying Terrain Controls On Satellite-Based Snow Water Equivalent Estimation: A Spatially Explicit Machine Learning Approach, Brant Giovannetti
Geography and the Environment: Graduate Student Capstones
Terrain variables are widely incorporated into machine learning Snow Water Equivalent (SWE) models but are rarely evaluated for their independent contribution relative to spectral predictors. Using a four-tier stepwise Random Forest framework with Harmonized Landsat Sentinel-2 imagery and Airborne Snow Observatory LiDAR ground truth, this study isolates the contribution of elevation, slope, northness, and eastness across Peak and Ablation snowpack regimes in the East Taylor River Watershed, Colorado. During peak snowpack, adding terrain improved R² by 0.214, with elevation alone accounting for 42.8% of model importance. During ablation, full-dataset terrain gains were modest, increasing R² by only 0.036. However, when …
Geospatial Governance Failures In The Department Of Defense: Contractor Noncompliance, Ai Adoption, And The Parallel Treatment Of Gis And Cybersecurity, Lyndsey Olmstead
Geospatial Governance Failures In The Department Of Defense: Contractor Noncompliance, Ai Adoption, And The Parallel Treatment Of Gis And Cybersecurity, Lyndsey Olmstead
Geography and the Environment: Graduate Student Capstones
The Department of Defense's treatment of geographic information systems and cybersecurity as parallel rather than integrated policy domains produces geographically predictable vulnerability patterns across its global military installation footprint. This capstone investigates that conclusion through original spatial analysis, constructing a five-variable composite geospatial vulnerability index across the six U.S. Combatant Command regions using publicly available unclassified data. EUCOM ranked highest overall, driven by GPS/PNT spoofing density, commercial satellite coverage, and cyber incident frequency; CENTCOM ranked second, driven by OSINT exposure incidents and governance risk. The null hypothesis of random geographic distribution is rejected. Findings confirm the structural governance gap documented …
Data Governance Maturity, Ai Integration, And Equity In Colorado K-12 Public Schools, John R. Curtin
Data Governance Maturity, Ai Integration, And Equity In Colorado K-12 Public Schools, John R. Curtin
Electronic Theses and Dissertations
Colorado's 179 K-12 public school districts operate as autonomous governance units, each responsible for securing and managing student data assets that span health, financial, residential, and academic records. The accelerating integration of artificial intelligence (AI) and machine learning (ML) tools into administrative workflows, productivity software, and instructional platforms has fundamentally altered the risk landscape for student data, yet governance frameworks at the state, district, and school levels have not kept pace. This dissertation investigates whether Colorado's decentralized educational governance structure is institutionally capable of producing equitable, secure, and sustainable data governance outcomes in the AI era.
Drawing on Institutional Theory …
Evaluation And Distillation Of Source Code Generation Tasks By Large Language Models, Danny Brahman
Evaluation And Distillation Of Source Code Generation Tasks By Large Language Models, Danny Brahman
Electronic Theses and Dissertations
Large Language Models (LLMs) are predominantly assessed based on their common sense reasoning, language comprehension, and logical reasoning abilities. While models trained in specialized domains like mathematics or coding have demonstrated remarkable advancements in logical reasoning, there remains a significant gap in evaluating their code generation capabilities. Existing benchmark datasets fall short in pinpointing specific strengths and weaknesses, impeding targeted enhancements in models’ reasoning abilities to synthesize code.
To bridge this gap, this thesis introduces two novel contributions: CodeEval and CodeQual. CodeEval is an innovative, pedagogical benchmarking method that mirrors the evaluation processes encountered in academic programming courses. It comprises …
Medical Image Integrity Protection Through U-Net Based Roi Segmentation And Hybrid Integer Wavelet–Quadtree Embedding, Muna M. Jawad, Rasha F. Nadhim, Noor A. Yousif, Ashwaq T. Hashim
Medical Image Integrity Protection Through U-Net Based Roi Segmentation And Hybrid Integer Wavelet–Quadtree Embedding, Muna M. Jawad, Rasha F. Nadhim, Noor A. Yousif, Ashwaq T. Hashim
Journal of Intelligent Informatics, Networking, and Cybersecurity
For decades, secure techniques in medical images have focused on securing the sensitive information through limiting direct access to the images themselves. Nonetheless, these methods tend to cause distortion on the images that can affect the diagnostic value and cause loss of crucial information. There arises the fundamental problem of secure embedding of medical data in such a way that does not affect the diagnostic integrity of the image. To overcome this limitation, a secure yet hidden data-hiding mechanism is introduced that is exploited U-Net-based deep learning for accurate Region of Interest (ROI) segmentation. Therefore U-Net architecture is used for …
Desert Dichotomies: Climatic Imaginaries Of The Arid+[Ant]Arctic, Amanda Aman
Desert Dichotomies: Climatic Imaginaries Of The Arid+[Ant]Arctic, Amanda Aman
Mavs Open Press Open Educational Resources
Desert Dichotomies is a research-based architecture design studio that examines the impacts of climate change across arid and polar desert environments, revealing unexpected parallels between landscapes often understood as environmental opposites. Focusing on Antarctica, Arctic Alaska and the Sonoran Desert, the project investigates how climate change, resource extraction and human systems of control are transforming ecological processes, water systems and cultural landscapes. While arid deserts face increasing drought and water scarcity, polar deserts are experiencing accelerated warming, ice loss, permafrost thaw and flooding. Despite these contrasting conditions, both regions exhibit similar consequences, including declining water quality, biodiversity loss, infrastructural vulnerability …
Structure Functions For The Inclusive Semileptonic B-Quark Decay At Nnlo: A Semi-Analytic Calculation, A. Broggio, B. Capdevila, A. Ferroglia, P. Gambino
Structure Functions For The Inclusive Semileptonic B-Quark Decay At Nnlo: A Semi-Analytic Calculation, A. Broggio, B. Capdevila, A. Ferroglia, P. Gambino
Publications and Research
We present a study of the inclusive charmless semileptonic b decay, b → Xuℓv at next-to-next-to-leading order (NNLO) in perturbative QCD, with the primary aim of extracting the hadronic structure functions Wi at NNLO. The analysis is based on a numerical calculation of the relevant kinematic distributions using a phase-space slicing method to handle infrared-sensitive contributions from real gluon emissions. We use known results from Heavy Quark Effective Theory and Soft-Collinear Effective Theory to extract the singular terms and construct a model for the regular contributions to the structure functions at NNLO, then perform a fit to the …
Creating Sustainable School And Home Gardens: Managing Rainwater, Lawrence Krissek, Kathy Cabe Trundle
Creating Sustainable School And Home Gardens: Managing Rainwater, Lawrence Krissek, Kathy Cabe Trundle
All Current Publications
Rainscaping can help solve drainage problems, reduce erosion, improve water quality, and conserve soil by effectively managing rainwater movement across the landscape. It can also provide environments with increased biodiversity while reducing the need for supplemental watering. The details of rainscaping your garden are very site-specific, affected by the amount of space and money available, your garden’s physical and weather/climate characteristics, and your garden goals. This resource sheet addresses the use of natural methods to ensure efficient rainwater management.
Beyond Emergency: Charting Pathways To Sustainable Development In Fragile And Conflict-Affected Settings: A Case Study Of Yemen, Sharif Abdurabu Salem Farid Alsahbool
Beyond Emergency: Charting Pathways To Sustainable Development In Fragile And Conflict-Affected Settings: A Case Study Of Yemen, Sharif Abdurabu Salem Farid Alsahbool
Theses and Dissertations
For nearly a decade, Yemen's eastern governorates of Hadramawt, Shabwah, and Al‑Mahrah have been relatively stable, yet the international aid system has kept delivering short‑term humanitarian relief like food baskets and water trucking instead of shifting to sustainable development that could rebuild people's lives, create jobs, fix infrastructure, and strengthen local government. This thesis investigates why this transition has taken so long. Based on 21 interviews with government officials, international NGO staff, and local NGO managers in these three governorates, the study develops a new way of understanding the problem. It introduces three ideas: the 'emergency mentality', which is a …
Data-Driven Qoe Inference For Htttp Adaptive Streaming, Tisa Selma
Data-Driven Qoe Inference For Htttp Adaptive Streaming, Tisa Selma
Thesis/ Dissertation Defenses
In HTTP adaptive streaming, accurately inferring user Quality of Experience (QoE) remains challenging due to dynamic network conditions, content variations, end-to-end encryption, intrusive advertisement interruptions, and diverse user engagement behaviors. Conventional approaches, such as ITU-T P.1203, fall short in capturing real-time user perception, accounting for ad related disruptions, or adapting to model drift over time. This dissertation therefore aims to develop a multimodal face emotion recognition (FER) based inference model that predicts QoE under encryption and advertisement conditions while being interpretable, robust, resilient to drift, and highly accurate. To achieve these objectives, a unified framework is designed and implemented. The …
Oregon State Rank Assessment For Willamette Navarretia (Navarretia Willamettensis), Nora Dunkirk
Oregon State Rank Assessment For Willamette Navarretia (Navarretia Willamettensis), Nora Dunkirk
Institute for Natural Resources Publications
Oregon state conservation status assessment for Willamette Navarretia (Navarretia willamettensis) using NatureServe methodology, 2026.
Uranyl Complex Of 1,3-Bis(Ditertbutylphosphinoxidomethyl)Benzene, Maha M. Alotaibi, Md Abdul Goni, Eric Reinheimer, Tasneem A. Siddiquee
Uranyl Complex Of 1,3-Bis(Ditertbutylphosphinoxidomethyl)Benzene, Maha M. Alotaibi, Md Abdul Goni, Eric Reinheimer, Tasneem A. Siddiquee
Chemistry Faculty Research
This short note presents a new molecule isolated and characterized from the reaction of uranyl nitrate with the PCP-type pincer ligand 1,3-bis(ditertbutylphosphinomethyl)benzene in the presence of UV light under ambient conditions. The new dinuclear uranyl-PCP complex was characterized by using FT-IR spectroscopy and single-crystal X-ray crystallography. As revealed by the crystal structure, the new complex had oxygen atoms coordinating from the phosphinoxides that were oxidized under ambient conditions. Each uranium atom of this dinuclear complex was found to exhibit pentagonal bipyramidal coordination geometry.
Measurement Discipline For Sustainable Industrial Transition: Frontier Productivity Evidence From Shandong And Jiangsu Manufacturing, 2013-2023, Shaopu Wu, Jianguang Hou, Danlin Yu
Measurement Discipline For Sustainable Industrial Transition: Frontier Productivity Evidence From Shandong And Jiangsu Manufacturing, 2013-2023, Shaopu Wu, Jianguang Hou, Danlin Yu
Department of Earth and Environmental Studies Faculty Scholarship and Creative Works
Sustainable industrial transition requires productivity evidence that separates real efficiency improvement from scale expansion, capital deepening, and reporting change. This study develops a reproducible frontier-productivity diagnostic for provincial leading industry policy, using official 2013-2023 sector panels for 23 two-digit manufacturing sectors in Shandong Province and a matched 2019-2023 benchmark against Jiangsu. The framework combines input-oriented Banker-Charnes-Cooper (BCC) data envelopment analysis (DEA), Simar-Wilson bootstrap bias correction, Malmquist total factor productivity change (TFPCH) decomposition, producer price index (PPI) deflation diagnostics, scale-productivity classification, and targeted sensitivity tests. Bootstrap correction lowers mean BCC efficiency from 0.77 to 0.69 in Shandong and from 0.79 to …
Ai In Education And Information: Tool, Threat, Or Teammate? How Academia Is Shaping The Future Of Intelligent Work, Essraa Nawar
Ai In Education And Information: Tool, Threat, Or Teammate? How Academia Is Shaping The Future Of Intelligent Work, Essraa Nawar
Library Presentations, Posters, and Audiovisual Materials
Artificial intelligence is rapidly changing the future of intelligent work across education, healthcare, leadership, communication, workplace culture, and health information management. Yet while AI adoption continues accelerating, institutions and professionals are still trying to understand what this transformation actually means for people, learning, careers, ethics, trust, governance, and human judgment. This interactive and forward-thinking panel brings together voices from higher education and healthcare information management to explore how AI is reshaping classrooms, workplaces, healthcare systems, professional identity, and future workforce expectations across generations.
Rather than focusing only on technology itself, the conversation will examine the broader cultural and organizational shift …
Agrivoltaic Shading Reduces Soil Greenhouse Gas Fluxes In A Semi-Arid Vineyard, Marcelo Gomes Da Silva, Rafael M. Almeida, Carine Cocco, Engil Pereira
Agrivoltaic Shading Reduces Soil Greenhouse Gas Fluxes In A Semi-Arid Vineyard, Marcelo Gomes Da Silva, Rafael M. Almeida, Carine Cocco, Engil Pereira
School of Earth, Environmental, & Marine Sciences Faculty Publications
Agrivoltaic systems are expanding in semi-arid regions, raising questions about how panel driven shading alters soil greenhouse gas exchange. We used automated chambers to measure high frequency soil CO2, N2O, and CH4 fluxes in a newly established vineyard agrivoltaic system in Texas across three shading intensities (0%, 35%, 88%) that represent the light environment beneath panels as shaped by panel tilt and solar trajectory. Shading primarily cooled the soil, reducing mean soil temperature from 35.9 °C (0%) to 32.5 °C (35%) and 30.5 °C (88%), while mean soil water content shifted modestly (0.125, 0.106, and 0.130 m3 m−3, respectively). Over …
Enhanced Uav Surveillance With Rf-Based Drone Identification Using Transfer Learning, Prajoy Podder, Maciej Jan Zawodniok, Sanjay Madria
Enhanced Uav Surveillance With Rf-Based Drone Identification Using Transfer Learning, Prajoy Podder, Maciej Jan Zawodniok, Sanjay Madria
Electrical and Computer Engineering Faculty Research & Creative Works
With the development of technology and the decrease in costs, drones are now becoming easily accessible to the public. As the accessibility of this technology continues to grow, the concerns of security and surveillance increase, and to ensure a sense of security, the need to have reliable drone detection and identification systems is more urgent than ever. Besides, many civilian applications have been found for drones, which play a huge role in modern security and warfare. Unauthorized drones can be very dangerous regarding security issues, as they can be used for spying, smuggling, or even attacks against critical infrastructure. We …
Data Science In The Utah Draft K-12 Standards Of Mathematics, Kate Webster Green
Data Science In The Utah Draft K-12 Standards Of Mathematics, Kate Webster Green
Theses and Dissertations
In today's data-driven world, the field of data science is becoming increasingly important. Research has shown that more job listings in Utah require applicants to have data science skills than ever before. Due to this growing demand, there is a push to begin data science instruction in grades K-12; however, what data science instruction is in grades K-12 is not yet clearly defined. Previous research has identified the skills and processes that make up data science in grades K-12, and several states and research groups have begun developing and implementing data science standards and learning progressions. This study analyzes the …
The Intersection Between Mindfulness And Cybersecurity: A Tool To Reduce Burnout And Improve Operational Effectiveness, Ivo Ricardo Dias Rosa
The Intersection Between Mindfulness And Cybersecurity: A Tool To Reduce Burnout And Improve Operational Effectiveness, Ivo Ricardo Dias Rosa
Journal of Cybersecurity Education, Research and Practice
Abstract: This paper offers a conceptual discussion of how mindfulness, understood as present moment awareness and deliberate attention regulation, can support cybersecurity professionals. Drawing on a narrative synthesis of workplace mindfulness, burnout, and high pressure decision making literature, we map plausible self regulation mechanisms to typical cyber defense tasks. Rather than presenting new empirical data, we develop an explanatory framework linking attention, reactivity, and recovery to decision quality, team communication, and adherence to incident playbooks. We focus on two connected outcomes: reducing burnout in roles with sustained cognitive and emotional demands, and improving operational effectiveness during critical situations such as …
Cyber-Ready Libraries, Building Digital Fortresses For Tomorrow, Adeyinka B. Tella, Oluchi Precious Ogbonna Dr, Adebola Aderemi Olatoye Mrs
Cyber-Ready Libraries, Building Digital Fortresses For Tomorrow, Adeyinka B. Tella, Oluchi Precious Ogbonna Dr, Adebola Aderemi Olatoye Mrs
Journal of Cybersecurity Education, Research and Practice
Background and Purpose: Libraries are evolving into highly networked information ecosystems in this age of fast digital transformation, which increases their susceptibility to cybersecurity risks. The study "Cyber-Ready Libraries: Building Digital Fortresses for Tomorrow" looks into how prepared libraries are to face cyber threats and considers methods for creating information systems that are safe, robust, and ready for the future. To safeguard digital assets and user data, the study aims to assess existing cybersecurity practices in library settings and offer a roadmap for combining technological, human, and governance solutions.
Design/Method: The existing literature, case studies, and policy frameworks pertaining …
Assessing Indoor Heat Vulnerability And Cooling Strategies In Three Mobile Home Communities In Boulder, Colorado, Usa, Mehdi P. Heris, Skye Niles, Alana Wilson, Megan Mccurdy, Amy Lacourse, Nick Lankau
Assessing Indoor Heat Vulnerability And Cooling Strategies In Three Mobile Home Communities In Boulder, Colorado, Usa, Mehdi P. Heris, Skye Niles, Alana Wilson, Megan Mccurdy, Amy Lacourse, Nick Lankau
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Extreme heat is an increasing public health and environmental threat shaped by both physical and social factors. This study assesses the vulnerability of mobile homes and their residents at three mobile home parks in Boulder, Colorado. We examined indoor temperature, housing conditions, and social and personal risk factors of the households. We monitored indoor and outdoor temperatures using 27 indoor and 5 outdoor temperature data loggers, comparing mobile homes with air conditioning, swamp coolers, and passive cooling designs. This work provides a detailed analysis of indoor temperature patterns and demonstrates how evaluating trends yields insights into the performance and effectiveness …
Structure And Spectroscopy Of Free Base, Copper, And Zinc Tetrapentylporphyrin, Christopher J. Ziegler, Nneka Damola Ajayi, Victor N. Nemkyin, G Richard Geier Iii
Structure And Spectroscopy Of Free Base, Copper, And Zinc Tetrapentylporphyrin, Christopher J. Ziegler, Nneka Damola Ajayi, Victor N. Nemkyin, G Richard Geier Iii
University Research
Synthetic porphyrins have been crucial as models for heme units and other biological porphyrins, as well as components of advanced materials and catalysts. Much of the work on synthetic porphyrins has focused on the meso-substituted 5,10,15,20-tetraphenylporphyrin (TPP) or the pyrrole-substituted 2,3,7,8,12,13,17,18-octaethylporphyrin (OEP). In this report, we present a comprehensive spectroscopic, electrochemical, and computational study of free-base, zinc(II), and copper(II) 5,10,15,20-tetrapentylporphyrin (TPeP). TPeP can be prepared via a two-step, one-flask reaction of pyrrole and hexanal mediated by Montmorillonite K10, followed by oxidation with 2,3-dichloro-5,6-dicyano-1,4-benzoquinone (DDQ) in yields of around 40%. Similar to TPP, the TPeP systems have the highest occupied molecular …
Late Pleistocene-Holocene Environmental Change From May Pond Sediment Cores And Upland 10be Ages, Adrianna Drindak
Late Pleistocene-Holocene Environmental Change From May Pond Sediment Cores And Upland 10be Ages, Adrianna Drindak
Earth Sciences Undergraduate Senior Theses
The goal of this project is to reconstruct the deglaciation and post-glacial environmental conditions of northern Vermont that occurred during the transition from the Pleistocene to the Holocene, ~15,000 to 11,000 years ago. This transition marks a major climatic shift, from a glacial period to an interglacial period, and regionally involved the retreat of the Laurentide Ice Sheet (LIS). The retreat of the LIS influenced the surficial geology of North America, exposing the Earth’s surface, leaving glacial deposits, and carving out proglacial lakes. The timing of ice retreat in the region provides information about past climate conditions, which may inform …
A Comprehensive Review Of Optimization Techniques For Healthcare Using Cancer Datasets, Dina Tbaishat, Mohammad Tubishat, Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar
A Comprehensive Review Of Optimization Techniques For Healthcare Using Cancer Datasets, Dina Tbaishat, Mohammad Tubishat, Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar
All Works
This study presents a systematic review of metaheuristic optimization techniques applied to healthcare problems using cancer datasets. A structured search of recently published peer-reviewed literature was carried out, focusing on five major application areas: feature selection, classification, image segmentation, hyperparameter tuning, and early detection. For each eligible study, the optimization strategy, dataset characteristics, data modality, learning model, validation protocol, and reported outcomes are provided. The reviewed works were organized into a taxonomy of original, modified, and hybridized algorithms, and a descriptive analysis was performed to assess algorithm prevalence and dataset utilization. The findings highlight that feature selection remains the most …
Assessment Of The Readiness Of Architectural Design Companies To Adopt Eco-Friendly Nanotechnologies In Sustainable Building Design, Ashwaq Essa Al Khalil
Assessment Of The Readiness Of Architectural Design Companies To Adopt Eco-Friendly Nanotechnologies In Sustainable Building Design, Ashwaq Essa Al Khalil
Dissertations and Theses
Nanotechnology is emerging as a promising innovation in sustainable architectural design, although its adoption remains slow. Research highlights the advantages of incorporating nanotechnologies in architecture, including improved material performance, enhanced thermal efficiency, reduced energy consumption, improved durability, and progress toward the Sustainable Development Goals (SDGs). These advantages make nanomaterials a promising solution for sustainable building design, particularly in hot-climate regions where energy consumption and carbon emissions associated with conventional building design practices remain major concerns.
Despite this potential, nanotechnology adoption in architecture faces several challenges, including limited real-world applications, slow diffusion in practice, and persistent organizational, economic, and regulatory barriers. …
Structure And Spectroscopy Of Free Base, Copper, And Zinc Tetrapentylporphyrin, Christopher J. Ziegler, Nneka Damola Ajayi, Victor N. Nemkyin, G Richard Geier Iii
Structure And Spectroscopy Of Free Base, Copper, And Zinc Tetrapentylporphyrin, Christopher J. Ziegler, Nneka Damola Ajayi, Victor N. Nemkyin, G Richard Geier Iii
University Research
Synthetic porphyrins have been crucial as models for heme units and other biological porphyrins, as well as components of advanced materials and catalysts. Much of the work on synthetic porphyrins has focused on the meso-substituted 5,10,15,20-tetraphenylporphyrin (TPP) or the pyrrole-substituted 2,3,7,8,12,13,17,18-octaethylporphyrin (OEP). In this report, we present a comprehensive spectroscopic, electrochemical, and computational study of free-base, zinc(II), and copper(II) 5,10,15,20-tetrapentylporphyrin (TPeP). TPeP can be prepared via a two-step, one-flask reaction of pyrrole and hexanal mediated by Montmorillonite K10, followed by oxidation with 2,3-dichloro-5,6-dicyano-1,4-benzoquinone (DDQ) in yields of around 40%. Similar to TPP, the TPeP systems have the highest occupied molecular …
Describing Hidden Curriculum In An Undergraduate Computing Context, Joseph R. Teahen, Briana C. Bettin, Leo Ureel
Describing Hidden Curriculum In An Undergraduate Computing Context, Joseph R. Teahen, Briana C. Bettin, Leo Ureel
Michigan Tech Publications
Hidden Curriculum (HC) is the set of essential knowledge, skills, and norms students are expected to know, but never explicitly taught. HC is disproportionately experienced across identities and communities. In computing education, most research addresses immediately identifiable HC within the researcher's context. While such work is important, without proper HC descriptive studies, we could miss more subtle HC that affects student success. This work presents results from interviews with undergraduate computing faculty, students, and peer mentors on their HC experiences. The results demonstrate several categories of HC including development tools, professional skills, institutional navigation, social well-being, and physical well-being. These …