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Articles 28261 - 28290 of 1737638
Full-Text Articles in Entire DC Network
Advice For Incorporating Ai Tools Into Your Legal Practice, Celia Bigoness, Robert A. Mackenzie, David J. Reiss
Advice For Incorporating Ai Tools Into Your Legal Practice, Celia Bigoness, Robert A. Mackenzie, David J. Reiss
Cornell Law Faculty Publications
We have been speaking with many lawyers and law students about using generative artificial intelligence (AI) tools in their legal practice. We are struck by the fact that many of them have not been experimenting much, if at all, with the tools that are available to them - although many acknowledge that their clients are increasingly integrating generative AI into their businesses. We have been integrating a lot of these tools into our own professional lives, and here are some tips to help lawyers and law students get comfortable with AI tools that can help them, in big ways and …
Assessing Walleye Recruitment Via Otc Marks And Temporal Sampling Changes In Smallmouth Bass Population Structure In Lake Mcconaughy, Nebraska, Robert D. Allison Iv
Assessing Walleye Recruitment Via Otc Marks And Temporal Sampling Changes In Smallmouth Bass Population Structure In Lake Mcconaughy, Nebraska, Robert D. Allison Iv
Biology Theses, Dissertations, and Student Creative Activity
Lake McConaughy is a socially and economically important reservoir managed to provide diverse, high-quality angling opportunities. Walleye are the most frequently targeted species, although Smallmouth Bass have increased in popularity in recent years due to improvements in abundance and size structure. Walleye have been stocked annually since 1989 to support the population and have been the focus of extensive research. In contrast, Smallmouth Bass have been present for over 80 years and are self-sustaining; however, their population has not been formally evaluated since introduction.
The first objective of this study was to develop an oxytetracycline (OTC) mark retention correction factor …
Ckd-Associated Osteoporosis: A Comprehensive Clinical Update, Suthiya Anumas, Midori Sakashita, Waroot Pholsawatchai
Ckd-Associated Osteoporosis: A Comprehensive Clinical Update, Suthiya Anumas, Midori Sakashita, Waroot Pholsawatchai
Asian Medical Journal and Alternative Medicine
Objective: To provide an updated overview of the pathophysiology, diagnostic strategies, and treatment options for chronic kidney disease (CKD)-associated osteoporosis.
Methods: A narrative review of recent literature and guideline recommendations, including KDIGO 2017 and 2025, with emphasis on bone health assessment and pharmacologic interventions in CKD.
Results: CKD impairs bone quantity and quality through mechanisms involving uremic toxins, hormonal imbalances, metabolic acidosis, medications, and secondary hyperparathyroidism. While dual-energy X-ray absorptiometry (DXA) remains the standard for assessing bone mineral density, additional insights are provided by bone turnover markers, high-resolution peripheral quantitative computed tomography (HR-pQCT), and bone biopsy. Both antiresorptive and anabolic …
Detention Before Adjudication: Evaluating Its Role In Juvenile Justice Outcomes, Ella Morrow
Detention Before Adjudication: Evaluating Its Role In Juvenile Justice Outcomes, Ella Morrow
2026 Spring Honors Capstones Projects
Pre-adjudication detention involves confining juveniles while they await a hearing, aimed at ensuring court appearance and upholding public safety. However, the use of pre-adjudication detention has expanded significantly, which has raised concerns regarding the impact on juvenile justice outcomes. This study reviews established peer-reviewed research and observational data from internships to evaluate how this type of detention influences legal outcomes and juvenile development. The research findings demonstrate that detention is associated with harsher dispositions, higher recidivism rates, and long-term consequences. For example, a 38% reduction in high school graduation rates is attributed to pre-adjudication detention. Research has also shown that …
Convergence Education In A Stem-Focused University: An Ethnographic Study Of A Cross-College Design And Innovation Program, Greg J. Strimel, Sherylyn Briller, Jackson Otto, Rebecca Martinez, Douglas Pruim, Todd R. Kelley
Convergence Education In A Stem-Focused University: An Ethnographic Study Of A Cross-College Design And Innovation Program, Greg J. Strimel, Sherylyn Briller, Jackson Otto, Rebecca Martinez, Douglas Pruim, Todd R. Kelley
School of Engineering Technology Faculty Publications
Background
Innovation often transcends the bounds of individual disciplines, yet undergraduate teaching is still largely organized today within single disciplines and respective academic units. Convergence education offers a promising organizational approach to bring transdisciplinary teaching and learning into undergraduate education by aligning institutional structures, pedagogy, and partnerships around meaningful, innovation experiences to address contemporary problems. However, longstanding academic silos in higher education hinder the adoption of convergence-focused pedagogies. Therefore, this study examined the three-year implementation of a novel convergence education initiative developed to foster design and innovation capabilities across multiple academic disciplines. By integrating faculty from the university’s engineering technology, …
Current Status Of Msk Diagnostic Ultrasound Education In Doctorate Of Physical Therapy Programs In The United States: A Survey, Lesley Parrish Dr., Heather E. Mount, Casey Charlebois
Current Status Of Msk Diagnostic Ultrasound Education In Doctorate Of Physical Therapy Programs In The United States: A Survey, Lesley Parrish Dr., Heather E. Mount, Casey Charlebois
Innovations in Health Sciences Education Journal
Musculoskeletal ultrasound (MSK-US) is a dynamic, cost-effective imaging modality increasingly integrated into Doctor of Physical Therapy (DPT) curricula. Despite growing interest, variability exists in the integration and implementation of MSK-US in entry-level DPT programs. This study aimed to assess the current status of MSK-US education in accredited DPT programs across the United States. A cross-sectional survey was distributed to all 294 accredited DPT programs in the U.S. via email. The survey consisted of 32 questions that addressed curriculum content, instructional methods, faculty qualifications, and barriers to implementation. Participation was voluntary, and 44 programs responded. No experimental interventions were applied. The …
Revisiting Adrenal Vein Sampling Interpretation In Primary Aldosteronism, Peeradon Vibhatavata
Revisiting Adrenal Vein Sampling Interpretation In Primary Aldosteronism, Peeradon Vibhatavata
Asian Medical Journal and Alternative Medicine
Adrenal vein sampling (AVS) is widely used for subtyping primary aldosteronism and guiding surgical decision-making. However, its interpretation is challenging, as protocols and interpretive indices vary widely across centers. In addition, several clinical and analytical conditions that can interfere with AVS interpretation may be underrecognized in clinical practice. This review summarizes the fundamental principles of AVS interpretation and discusses conditions that may confound diagnostic accuracy, as well as areas of ongoing controversy in contemporary practice.
Exploring How Long-Term Residents Influence Environmental Policy Decisions In The Takushara Settlement In Abuja, Nigeria, Agbanusi Uchechukwu Jonathan
Exploring How Long-Term Residents Influence Environmental Policy Decisions In The Takushara Settlement In Abuja, Nigeria, Agbanusi Uchechukwu Jonathan
Walden Dissertations and Doctoral Studies
Rapid urbanization of Nigeria’s Federal Capital Territory (FCT) has increasingly marginalized indigenous communities, creating a significant disconnect between top-down environmental governance and how it affects residents. Previous research has found that this land swap displaces indigenous stewards and erodes their traditional ecological knowledge, endangering local livelihoods, food security, and sustainable management of natural resources. The purpose of this narrative qualitative study was to explore how long-term residents perceive and experience their influence in environmental policy decisions through the lens of the social-ecological systems framework and the theory of resilience. This study examined the systematic exclusion of long-term residents of the …
Evaluating Resistance Training Knowledge Among Secondary School Educators And Coaches: Development And Impact Of A Professional Development Program, Josh Redden
Doctorate in Kinesiology
Resistance training is a critical component of health-related fitness in secondary education, yet research has consistently demonstrated that physical education teachers and coaches lack sufficient content knowledge to effectively instruct and supervise these programs. This action research study evaluated resistance training content knowledge among physical education (PE) teachers, adapted physical education (APE) teachers, and sport coaches within a Louisiana school district and assessed the impact of a one-hour asynchronous professional development course delivered via school district email. Twenty-six participants completed pre- and post-assessments using a 20-item instrument developed through a modified Delphi process with an expert panel. Data were analyzed …
Career Adaptability Of Prospective Teachers With Disabilities In Indonesia: A Phenomenological Study, Rr Dwi Umi Badriyah, Erfan Ramadhani, Ramtia Darma Putri, Syska Purnama Sari, Amândio De Araújo Sarmento, Kadek Suhardita
Career Adaptability Of Prospective Teachers With Disabilities In Indonesia: A Phenomenological Study, Rr Dwi Umi Badriyah, Erfan Ramadhani, Ramtia Darma Putri, Syska Purnama Sari, Amândio De Araújo Sarmento, Kadek Suhardita
Jurnal Kajian Bimbingan dan Konseling
Pre-service teachers with disabilities face career transitions shaped by personal aspirations, accessibility barriers, stigma, and limited role models. In Indonesia, little is known about how they build career readiness for teaching within inclusive unequal educational contexts. This study explores the career adaptability of pre-service teachers with disabilities in Indonesia. Grounded in Career Construction Theory, it examines concern, control, curiosity, and confidence, while extending the framework by considering resilience and flexibility as relevant dimensions. A qualitative phenomenological design was used. Twenty-five students with disabilities enrolled in Primary School Teacher Education and Special Education programs at an Indonesian university participated in semi-structured …
Exploring Sequential Technical Practices Towards Skill Development And Musical Expression In Violin Performance And String Pedagogy Methods, Erin Kim
LSU Doctoral Dissertations
This dissertation proposes the Erin Kim System, a pedagogical framework designed to support sequential technical development and musical expression in beginning, intermediate, and advanced levels of violin performance. This system examines how structured technical progression, guided repertoire sequencing, and a nurturing learning environment with the teacher and parents can foster skill acquisition and long-term musical engagement among violin students. Musical enjoyment and inspiration serve as primary motivators for learning, particularly when students are encouraged to work toward performing aspirational repertoire such as the Sibelius Violin Concerto. By organizing repertoire and supplemental exercises in a clear step-by-step process, this system enables …
A Tv-Bm3d Iterative Algorithm For Vmat-Ct Reconstruction, Chia-Lung Chien, Beibei Guo, Rui Zhang
A Tv-Bm3d Iterative Algorithm For Vmat-Ct Reconstruction, Chia-Lung Chien, Beibei Guo, Rui Zhang
Faculty, Staff and Students Publications
Volumetric modulated arc therapy-computed tomography (VMAT-CT), which is the CT reconstructed using the portal images collected during VMAT, can potentially be an effective onsite imaging tool. The goal of this study was to propose an iterative reconstruction algorithm that can further improve the image quality of VMAT-CT and reduce the number of failed reconstructions. An iterative algorithm combining total variation (TV) with block-matching and 3D filtering (BM3D) was proposed, addressing the L1-L2 regularization problem using the split Bregman method. We collected portal images from 67 VMAT cases including 50 phantom and 17 real-patient cases. Both Feldkamp-Davis-Kress (FDK) and TV-BM3D iterative …
Constitutive Ampk Activation Prevents Hepatocellular Carcinoma Development Through Inhibition Of Hnf4Α Activity, Zhen Sun, Bernard Linares, Cassidy Urdiales, Fiyad Alsarmi, Boyuan Sang, Nagireddy Putluri, Jeanine L Van Nostrand
Constitutive Ampk Activation Prevents Hepatocellular Carcinoma Development Through Inhibition Of Hnf4Α Activity, Zhen Sun, Bernard Linares, Cassidy Urdiales, Fiyad Alsarmi, Boyuan Sang, Nagireddy Putluri, Jeanine L Van Nostrand
Faculty, Staff and Students Publications
Hepatocellular carcinoma (HCC) is a major cause of cancer-related mortality and is largely driven by metabolic disorders such as obesity and type 2 diabetes. The AMP-activated protein kinase (AMPK) is a master regulator of metabolism, and its activation has been proposed as a therapeutic strategy for treating metabolic disorders. However, although AMPK activity is down-regulated in HCC, the precise role of AMPK in HCC development has not been clearly delineated. Here, we investigated the ability of constitutive AMPK activation to prevent HCC development using a constitutively active AMPK transgenic mouse model and a pharmacological AMPK activator. We observed that AMPK …
A Multidomain Peptide Hydrogel-Liposome Composite For Controlled Release Of A Cyclic Dinucleotide In Oral Cancer, Joseph W R Swain, Andrea H Molina, Gemalene M Sunga, Danielle Chew-Martinez, Neeraja Dharmaraj, Alejandra Cobos Perez, Arghadip Dey, Ephraim J Vázquez-Rosado, Simon Young, Jeffrey D Hartgerink
A Multidomain Peptide Hydrogel-Liposome Composite For Controlled Release Of A Cyclic Dinucleotide In Oral Cancer, Joseph W R Swain, Andrea H Molina, Gemalene M Sunga, Danielle Chew-Martinez, Neeraja Dharmaraj, Alejandra Cobos Perez, Arghadip Dey, Ephraim J Vázquez-Rosado, Simon Young, Jeffrey D Hartgerink
Faculty, Staff and Student Publications
While immunotherapy is a promising treatment strategy for cancer, the majority of head and neck squamous cell carcinoma (HNSCC) patients treated with single-agent immunotherapy do not respond. Therefore, researchers are investigating combination treatments with immunostimulatory molecules that can maximize anti-tumor responses. Cyclic dinucleotides (CDNs) are STING agonists that hold promise in combination approaches, but they require frequent intratumoral administration when used in both preclinical models of HNSCC and clinical trials. To reduce administration frequency, we have created a peptide hydrogel–liposome composite system, K2-Lip(CDN), for local and prolonged availability of CDN. We investigated the loading limits of cationic liposomes in both …
Modelling The Temporal Dynamics Of Microsporidia Mb Prevalence In Anopheles Mosquitoes Under Environmental Variability, Charlène N. Mfangnia, Matteo Pedercini, Henri E. Tonnang, Jeremy K. Herren
Modelling The Temporal Dynamics Of Microsporidia Mb Prevalence In Anopheles Mosquitoes Under Environmental Variability, Charlène N. Mfangnia, Matteo Pedercini, Henri E. Tonnang, Jeremy K. Herren
All Peer-Reviewed Publications
Releasing Microsporidia MB-positive mosquitoes is being investigated as a promising component of Integrated Vector Management (IVM) strategies for malaria control. In this study, we developed a System Dynamics model to replicate the observed interactions between humans, mosquitoes, the Plasmodium parasite, and the symbiont MB. The model accounts for the impact of environmental variables - such as humidity, rainfall, and temperature - on mosquitoes, Plasmodium, and MB, using exogenous inputs derived from daily climatic observations (rainfall, relative humidity, and temperature) recorded during the mosquito field surveys. We calibrate the model using data collected from Ahero in Kenya, available for 3 years …
A Machine-Learning-Based Tool For Stroke Risk Prediction In Blunt Cerebrovascular Injury: Development And Preliminary Evaluation, Victoria Wagner, Joshua D Preston, Alejandro De Leon Castro, William F Mueller, Jonathan Nguyen, Manuel Garcia-Toca, Elizabeth R Benjamin, S Rob Todd, Jason D Sciarretta
A Machine-Learning-Based Tool For Stroke Risk Prediction In Blunt Cerebrovascular Injury: Development And Preliminary Evaluation, Victoria Wagner, Joshua D Preston, Alejandro De Leon Castro, William F Mueller, Jonathan Nguyen, Manuel Garcia-Toca, Elizabeth R Benjamin, S Rob Todd, Jason D Sciarretta
Faculty, Staff and Student Publications
Purpose: Stroke risk correlates with the Biffl grading system in blunt cerebrovascular injury (BCVI). Although anti-thrombotic therapy is the mainstay of stroke prevention, no point-of-care clinical decision-support tool exists to guide timing for therapy. We sought to develop an interactive online calculator that incorporates patient-specific demographic and injury characteristics to estimate stroke risk and risk reduction with anti-thrombotic (AT) administration.
Methods: Data from BCVI patients (n = 1,197) at a Level I Trauma Center were retrospectively collected. Six machine learning methods were employed to predict stroke risk with and without AT therapy. Class imbalance was addressed using downsampling and/or class …
“That Would Be Confusing For Fifth Graders”: Boundary Infrastructure Moves In A Research-Practice Partnerships, Jody E. Clarke-Midura, Alireza Zandi, Saríah López-Fierro, Mimi M. Recker
“That Would Be Confusing For Fifth Graders”: Boundary Infrastructure Moves In A Research-Practice Partnerships, Jody E. Clarke-Midura, Alireza Zandi, Saríah López-Fierro, Mimi M. Recker
Publications
Research Practice Partnerships (RPPs) are a key strategy for educational improvement, yet little is known about the interactional mechanisms that drive their success. This study analyzes a three-year RPP co-designing integrated math and computer science lessons. We identify "boundary infrastructure moves”, actions partners use to navigate differences. Our findings reveal that productive tension, often sparked by a "potential overstep," was highly generative. A case study shows how a teacher challenging a lesson's terminology initiated a negotiation that transformed the artifact and created a new, shared vocabulary tool. We argue that productive tension is an essential mechanism for growth in RPPs …
A Rare Case Of Cutaneous Extramedullary Hematopoiesis In Chronic Myeloid Leukemia, Bennett Christie-Nguyen, Hanadi El Achi, Levani Iashvili, Amer Wahed, Brenda Mai, Jacob Armstrong
A Rare Case Of Cutaneous Extramedullary Hematopoiesis In Chronic Myeloid Leukemia, Bennett Christie-Nguyen, Hanadi El Achi, Levani Iashvili, Amer Wahed, Brenda Mai, Jacob Armstrong
Faculty, Staff and Student Publications
Cutaneous extramedullary hematopoiesis (CEH) is a rare manifestation of extramedullary hematopoiesis (EMH), a process typically associated with fetal development or myeloproliferative neoplasms. EMH most commonly involves the spleen, liver, and lymph nodes, with CEH being exceedingly rare in chronic myeloid leukemia (CML). Here, we present a 34-year-old Hispanic male with multiple bilateral lower extremity lesions, right buttock and leg pain, fatigue, and splenomegaly, who was found to have chronic-phase CML. Punch biopsy of one of the skin lesions demonstrated dermal infiltration by maturing hematopoietic elements, including granulocytes, megakaryocytes, and erythroid precursors, with fluorescence in situ hybridization (FISH) testing confirming a …
Two-Dimensional Inverse Scattering Solution Using Nurbs Expansion And A Deep Learning Method, Meisam Shafaee
Two-Dimensional Inverse Scattering Solution Using Nurbs Expansion And A Deep Learning Method, Meisam Shafaee
Turkish Journal of Physics
This paper presents a novel framework for solving two-dimensional (2D) inverse scattering problems by integrating nonuniform rational B-spline (NURBS) parameterization with convolutional neural networks (CNNs). Tra ditional pixel/voxel-based deep learning methods often suffer from high dimensionality and discretization artifacts, while purely geometric approaches lack robust inversion mechanisms. To address these limitations, we propose a hybrid frame work where the relative permittivity profile of an unknown scatterer is compactly represented as a NURBS surface, parameterized by a sparse set of control points and weights. This approach reduces the problem dimensionality over 16 times. On the other hand, using NURBS expansion ensures …
The Mosaic, Georgia Southern University
The Mosaic, Georgia Southern University
George-Anne Media Group: Newsletters & Magazines
No abstract provided.
Quantitative Phase-Field Modeling Of Nonequilibrium Microstructural Evolution In Rapid Solidification For Additive Manufacturing, Leiji Li, Fei Xiao, Ying Zhou, Xiaorong Cai, Chongfeng Zhang, Jinzhong Gao, Xiaopeng Shen, Tianchi Zhu, Sihan Wang, Yijia Gu, Xuejun Jin
Quantitative Phase-Field Modeling Of Nonequilibrium Microstructural Evolution In Rapid Solidification For Additive Manufacturing, Leiji Li, Fei Xiao, Ying Zhou, Xiaorong Cai, Chongfeng Zhang, Jinzhong Gao, Xiaopeng Shen, Tianchi Zhu, Sihan Wang, Yijia Gu, Xuejun Jin
Materials Science and Engineering Faculty Research & Creative Works
Fusion-based metal additive manufacturing (AM) relies on layer-by-layer deposition and rapid solidification, where the material transitions swiftly from liquid to solid. A key phenomenon during this process is solute trapping, a nonequilibrium effect governed by a velocity-dependent partition coefficient, which critically influences microstructure kinetics, morphology, and phase formation. In this study, we employ a recently proposed quantitative phase field (PF) model to systematically explore solute trapping, solute drag, and their impacts on pattern formation during rapid solidification at AM-relevant velocities, in both one and two dimensions. Our simulations reveal a growth mode transition from planar to cellular to dendritic, and …
Bio-Cybersecurity: Securing The Healthcare Industry, Amanda D. Coleman
Bio-Cybersecurity: Securing The Healthcare Industry, Amanda D. Coleman
Cybersecurity Undergraduate Research Showcase
Bio-cybersecurity refers to the aspect of cybersecurity that applies to the biological sciences and the protection of digital biomedical information. Today’s healthcare industry has evolved with the enhancement of internet and biomedical technology. While hospitals and private medical providers remain compliant with the Health Information Portability and Accountability Act (HIPAA) through traditional means of securing documented patient information, the emergence of beneficial internet-based healthcare services like virtual appointments and digital patient records requires new policies and healthcare cybersecurity frameworks to protect sensitive information from unauthorized access. This paper examines the role of cybersecurity in healthcare, the vulnerabilities that exist and …
Variability On M-Dwarf Stars And Its Effect On Exoplanet Detection, Aylin Garcia Soto
Variability On M-Dwarf Stars And Its Effect On Exoplanet Detection, Aylin Garcia Soto
Dartmouth College Ph.D Dissertations
Understanding stellar magnetic activity is crucial for exoplanet research: activity can mask signatures from exoplanet detection and characterization, and impact planetary habitability. This is particularly important for M dwarf stars, which are highly magnetically active, displaying spectroscopic and photometric signatures of flares and rotational variability. In this thesis, I will present two complementary perspectives on M dwarf magnetic activity. First, I will discuss a study of short-term variability. I made new ground-based observations of 77 M dwarfs and tested the connection between chromospheric emission and photometric variability. I find a weak positive correlation between H$\alpha$ luminosity (tracing magnetic heating) and …
Growth Potential Of Materials For Decarbonization: Insights From The Cement Industry Value Chain, Noha Mostafa
Growth Potential Of Materials For Decarbonization: Insights From The Cement Industry Value Chain, Noha Mostafa
Mechanical Engineering
To meet the Paris Agreement objectives and limit global warming to 1.5˚C compared to preindustrial levels, it is estimated that the built sector must cut its total emissions by 50% before the year 2030 and fully decarbonize it by 2050. The built environment is estimated to be responsible for 40% of global energy and emissions. These global carbon emissions include both operational carbon—the day-to-day carbon emissions generated through the operation and maintenance of buildings—and embodied carbon. With its recorded high emissions, cement manufacturing is a key area of interest for the decarbonization efforts. To meet the increasing demand for sustainably …
Transport Phenomena Of Multiphase Flow And Slippery Microsphere Suspensions In Confined Space, Ryan Haggerty
Transport Phenomena Of Multiphase Flow And Slippery Microsphere Suspensions In Confined Space, Ryan Haggerty
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Understanding multiphase flow has many important environmental and engineering applications. For example, understanding gas flow in porous media is useful for energy storage, petroleum engineering, and contaminant cleanup. Nano- and microparticle transport is vital for enhanced oil recovery techniques and environmental contamination. Despite their relevance to environmental engineering, multiphase flows, especially with concentrated particle suspensions, are still a complex and developing topic. Additionally, hydrophobic surfaces are a relatively new area of research, for while the effects of hydrophobicity are observable, the mechanisms may occur on several scales. Hydrophobicity leads to a property called “slip,” which contradicts the traditional treatment of …
Evaluating Fine-Scale Air-Quality Heterogeneity Using A Low-Cost Multipollutant Sensor Network In Twin Cities, Minnesota, Varuni Abhayaratne, Weixing Hao, Chen Ye, Anjana Yatawara, Philip K. Hopke, Jiayu Li, Yang Wang
Evaluating Fine-Scale Air-Quality Heterogeneity Using A Low-Cost Multipollutant Sensor Network In Twin Cities, Minnesota, Varuni Abhayaratne, Weixing Hao, Chen Ye, Anjana Yatawara, Philip K. Hopke, Jiayu Li, Yang Wang
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
There is growing interest and effort in deploying low-cost sensors (LCSs) to understand fine-scale spatiotemporal heterogeneity of ambient air pollutants in urban areas. The Assessing Urban Air Quality project conducted by the Minnesota Pollution Control Agency deployed 45 low-cost air-quality monitors (AQMesh, Environmental Instruments Ltd.) in the Minneapolis/St. Paul metropolitan area network. Hourly averaged pollutant concentrations or mixing ratios for carbon monoxide (CO), ozone (O3), nitrogen dioxide (NO2), nitric oxide (NO), and sulfur dioxide (SO2), as well as particulate matter (PM), including PM1, PM2.5, and PM10, were obtained. The network data from June 2019 to June …
Diffeomorphisms In Quantum Black Hole Interiors, Ian William Bornhoeft
Diffeomorphisms In Quantum Black Hole Interiors, Ian William Bornhoeft
Electronic Theses and Dissertations 2020 - Present
We begin with an introduction to canonical Loop Quantum Gravity. We then introduce a notion of residual diffeomorphism covariance in quantum Kantowski–Sachs (KS), describing the interior of a Schwarzschild black hole. We solve for the family of Hamiltonian constraint operators satisfying an associated covariance condition, as well as parity invariance, preservation of the Bohr Hilbert space of Loop Quantum KS and a correct (naive) classical limit. We further explore imposing minimality of the number of momentum shift terms, and compare the solution with other Hamiltonian constraints proposed for Loop Quantum KS in the literature. In particular, we discuss a lapse …
Puddles Of Grace, Bruce Kuiper
Puddles Of Grace, Bruce Kuiper
Faculty Work Comprehensive List
"... dignity, truth, and beauty do not originate from the platform. They originate from the source."
Posting about ordinary yet profound moments in life from In All Things, an online hub that offers insight into maintaining and faithful and orthodox Reformed Christian worldview while fearlessly engaging in every aspect of contemporary life – until all is made new.
From Stability To Spintronics: A Comprehensive High-Throughput Investigation Of 2d Mf4 Lieb Lattices, Uğur Yorulmaz
From Stability To Spintronics: A Comprehensive High-Throughput Investigation Of 2d Mf4 Lieb Lattices, Uğur Yorulmaz
Turkish Journal of Physics
The research on two-dimensional (2D) materials which have intrinsic magnetism and exotic electronic struc tures is an important quest in condensed matter physics. The Lieb lattice offers a unique platform for studying strongly correlated electron phenomena. In this work, we systematically investigated the structural, dynamical, mechanical, electronic, and magnetic properties of monolayer transition metal tetrafluorides (MF4, where M = Ag, Cd, Cr, Cu, Fe, Hf, Mn, Mo, Nb, Ni, Pd, Pt, Rh, Ru, Sc, Ta, Ti, V, W, and Y) arranged in a 2D Lieb lattice, using first-principles calculations based on density functional theory (DFT) with Hubbard (U) corrections. Our …