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Articles 631 - 660 of 9034
Full-Text Articles in Entire DC Network
A Canonical Transformation For The Anderson Lattice Hamiltonian With F–F Electron Coupling, Guang-Lin Zhao
A Canonical Transformation For The Anderson Lattice Hamiltonian With F–F Electron Coupling, Guang-Lin Zhao
Faculty Publications
In this work, a new canonical transformation for the Anderson lattice Hamiltonian with f–f electron coupling was developed, which was further used to identify a new Kondo lattice Hamiltonian. Different from the single impurity Kondo effect, the resulted new Kondo lattice Hamiltonian only includes the spin-flip scattering processes between conduction electrons and f-electrons, while the normal process of non-spin-flip scattering is absent in this Hamiltonian, under the second order approximation. The new Kondo lattice Hamiltonian may be used to study some anomalous physical properties in some Kondo lattice intermetallic compounds.
Lotic-Sipco2: Adaptation Of An Open-Source Co2 Sensor System And Examination Of Associated Emission Uncertainties Across A Range Of Stream Sizes And Land Uses, Andrew L. Robison, Lauren E. Koenig, Jody D. Potter, Lisle E. Snyder, Christopher W. Hunt, William H. Mcdowell, Wilfred M. Wollheim
Lotic-Sipco2: Adaptation Of An Open-Source Co2 Sensor System And Examination Of Associated Emission Uncertainties Across A Range Of Stream Sizes And Land Uses, Andrew L. Robison, Lauren E. Koenig, Jody D. Potter, Lisle E. Snyder, Christopher W. Hunt, William H. Mcdowell, Wilfred M. Wollheim
Faculty Publications
River networks play a crucial role in the global carbon cycle, as relevant sources of carbon dioxide (CO2) to the atmosphere. Advancements in high-frequency monitoring in aquatic environments have enabled measurement of dissolved CO2 concentration at temporal resolutions essential for studying carbon variability and evasion from these dynamic ecosystems. Here, we describe the adaptation, deployment, and validation of an open-source and relatively low-cost in situ pCO2 sensor system for lotic ecosystems, the lotic-SIPCO2. We tested the lotic-SIPCO2 in 10 streams that spanned a range of land cover and basin size. Key system adaptations for lotic environments included prevention of biofouling, …
Does Chinese Investment Into Europe Facilitate Strategic Asset Growth In The Chinese Parent Company? The Role Of Entry Mode, John Anderson, Dylan Sutherland, Sean Severe
Does Chinese Investment Into Europe Facilitate Strategic Asset Growth In The Chinese Parent Company? The Role Of Entry Mode, John Anderson, Dylan Sutherland, Sean Severe
Faculty Publications
Strategic asset seeking foreign direct investment has undergone tremendous growth over the past decade. This paper first attempts to evaluate the location choice of such investments in Europe. We find that Chinese companies target strategic assets in Europe. The paper then moves to understand the efficacy of these investments in terms of the creation of strategic assets in the Chinese parent company. Our results show the intangible assets of Chinese domestic parent firms significantly increase in the wake of their investments. For greenfield investments, there is a longer time-lag in creation of intangible strategic assets than for acquisitions. However, greenfield …
Observational Features Of Charge Distribution In Earth's Inner Magnetosphere, Lai Gao, Chao Shen, Yufei Zhou, Yong Ji, Zuyin Pu, George Parks, Christopher T. Russell, Gang Zeng, Lan Ma, Roy B. Torbert, Yanyan Yang, James L. Burch
Observational Features Of Charge Distribution In Earth's Inner Magnetosphere, Lai Gao, Chao Shen, Yufei Zhou, Yong Ji, Zuyin Pu, George Parks, Christopher T. Russell, Gang Zeng, Lan Ma, Roy B. Torbert, Yanyan Yang, James L. Burch
Faculty Publications
Understanding the motion of charged particles in the electromagnetic field in the inner magnetosphere is essential for space science and space weather. Charge accumulation can occur due to the dipole magnetic and convective electric fields in this region. However, until the recent Magnetospheric Multiscale (MMS) mission, there were few means to detect charge distribution in situ. We report unambiguous in situ observation of the spatial distribution of the excess charge density in the inner magnetosphere by the MMS mission. We find that a positive (negative) charge accumulates in the dusk (dawn) side inner magnetospheres, which is contrary to the long …
Observational Features Of Charge Distribution In Earth's Inner Magnetosphere, Lai Gao, Chao Shen, Yufei Zhou, Yong Ji, Zuyin Pu, George Parks, Christopher T. Russell, Gang Zeng, Lan Ma, Roy B. Torbert, Yanyan Yang, James L. Burch
Observational Features Of Charge Distribution In Earth's Inner Magnetosphere, Lai Gao, Chao Shen, Yufei Zhou, Yong Ji, Zuyin Pu, George Parks, Christopher T. Russell, Gang Zeng, Lan Ma, Roy B. Torbert, Yanyan Yang, James L. Burch
Faculty Publications
Understanding the motion of charged particles in the electromagnetic field in the inner magnetosphere is essential for space science and space weather. Charge accumulation can occur due to the dipole magnetic and convective electric fields in this region. However, until the recent Magnetospheric Multiscale (MMS) mission, there were few means to detect charge distribution in situ. We report unambiguous in situ observation of the spatial distribution of the excess charge density in the inner magnetosphere by the MMS mission. We find that a positive (negative) charge accumulates in the dusk (dawn) side inner magnetospheres, which is contrary to the long …
Improving The Practical Skills Of Stem Students At A Historically Black College And University (Hbcu), Yasser Ismail, Phyllis Okwan, Fred Lacy
Improving The Practical Skills Of Stem Students At A Historically Black College And University (Hbcu), Yasser Ismail, Phyllis Okwan, Fred Lacy
Faculty Publications
Improving the practical skills of Science, Technology, Engineering and Mathematics (STEM) students at a historically black college and university (HBCU) was done by implementing a transformative teaching model. The model was implemented on undergraduate students of different educational levels in the Electrical Engineering (EE) Department at HBCU. The model was also extended to carefully chosen high and middle schools. These middle and high school students serve as a pipeline to the university, with a particular emphasis on fostering growth within the EE Department. The model aligns well with the core mission of the EE Department, aiming to enhance the theoretical …
Heavy-Element Production In A Compact Object Merger Observed By Jwst, Andrew J. Levan, Benjamin P. Gompertz, Om Sharan Salafia, Mattia Bulla, Eric Burns, Kenta Hotokezaka, Luca Izzo, Gavin P. Lamb, Daniele B. Malesani, Samantha R. Oates, Maria Edvige Ravasio, Alicia Rouco Escorial, Benjamin Schneider, Nikhil Sarin, Steve Schulze, Nial R. Tanvir, Kendall Ackley, Gemma Anderson, Gabriel B. Brammer, Lise Christensen, Vikram S. Dhillon, Phil A. Evans, Michael Fausnaugh, Wen Fai Fong, Andrew S. Fruchter, Chris Fryer, Johan P.U. Fynbo, Nicola Gaspari, Kasper E. Heintz, Jens Hjorth, Jamie A. Kennea, Mark R. Kennedy, Tanmoy Laskar
Heavy-Element Production In A Compact Object Merger Observed By Jwst, Andrew J. Levan, Benjamin P. Gompertz, Om Sharan Salafia, Mattia Bulla, Eric Burns, Kenta Hotokezaka, Luca Izzo, Gavin P. Lamb, Daniele B. Malesani, Samantha R. Oates, Maria Edvige Ravasio, Alicia Rouco Escorial, Benjamin Schneider, Nikhil Sarin, Steve Schulze, Nial R. Tanvir, Kendall Ackley, Gemma Anderson, Gabriel B. Brammer, Lise Christensen, Vikram S. Dhillon, Phil A. Evans, Michael Fausnaugh, Wen Fai Fong, Andrew S. Fruchter, Chris Fryer, Johan P.U. Fynbo, Nicola Gaspari, Kasper E. Heintz, Jens Hjorth, Jamie A. Kennea, Mark R. Kennedy, Tanmoy Laskar
Faculty Publications
The mergers of binary compact objects such as neutron stars and black holes are of central interest to several areas of astrophysics, including as the progenitors of gamma-ray bursts (GRBs)1, sources of high-frequency gravitational waves (GWs)2 and likely production sites for heavy-element nucleosynthesis by means of rapid neutron capture (the r-process)3. Here we present observations of the exceptionally bright GRB 230307A. We show that GRB 230307A belongs to the class of long-duration GRBs associated with compact object mergers4–6 and contains a kilonova similar to AT2017gfo, associated with the GW merger GW170817 (refs. 7–12). …
What Diameter? What Height? Influence Of Measures Of Average Tree Size On Area-Based Allometric Volume Relationships, Yilin Wang, John A. Kershaw, Mark J. Ducey, Yuan Sun, James B. Mccarter
What Diameter? What Height? Influence Of Measures Of Average Tree Size On Area-Based Allometric Volume Relationships, Yilin Wang, John A. Kershaw, Mark J. Ducey, Yuan Sun, James B. Mccarter
Faculty Publications
Volume is an important attribute used in many forest management decisions. Data from 83 fixed-area plots located in central New Brunswick, Canada, are used to examine how different measures of stand-level diameter and height influence volume prediction using a stand-level variant of Honer's (1967) volume equation. When density was included in the models (Volume=f(Diameter,Height,Density)) choice of diameter measure was more important than choice of height measure. When density was not included (Volume=f(Diameter,Height)), the opposite was true. For models with density included, moment-based estimators of stand diameter and height performed better than all other measures. For models without density, largest tree …
What Diameter? What Height? Influence Of Measures Of Average Tree Size On Area-Based Allometric Volume Relationships, Yilin Wang, John A. Kershaw, Mark J. Ducey, Yuan Sun, James B. Mccarter
What Diameter? What Height? Influence Of Measures Of Average Tree Size On Area-Based Allometric Volume Relationships, Yilin Wang, John A. Kershaw, Mark J. Ducey, Yuan Sun, James B. Mccarter
Faculty Publications
Volume is an important attribute used in many forest management decisions. Data from 83 fixed-area plots located in central New Brunswick, Canada, are used to examine how different measures of stand-level diameter and height influence volume prediction using a stand-level variant of Honer's (1967) volume equation. When density was included in the models (Volume=f(Diameter,Height,Density)) choice of diameter measure was more important than choice of height measure. When density was not included (Volume=f(Diameter,Height)), the opposite was true. For models with density included, moment-based estimators of stand diameter and height performed better than all other measures. For models without density, largest tree …
Radiation From An Oscillating Dipole In The Presence Of Photon-Sector Cpt And Lorentz Violation, Joshua O'Connor, Brett Altschul
Radiation From An Oscillating Dipole In The Presence Of Photon-Sector Cpt And Lorentz Violation, Joshua O'Connor, Brett Altschul
Faculty Publications
We examine one of the standard loci for studying electromagnetic wave emission - the radiation from an oscillating electric dipole - in a model in which the electromagnetic sector is modified to include novel CPT- and Lorentz-violating propagation effects involving a preferred axial vector background. We evaluate the vacuum-birefringent radiation fields, including nonperturbative terms where appropriate. In general, the energy momentum carried by the fields in this model is known to have a complicated nonperturbative structure, which cannot be captured by naive power-series expansions in the components of the preferred background vector. However, we nevertheless find that at the lowest …
Unimer Suppression Enables Supersaturated Homopolymer Swollen Micelles With Long-Term Stability After Glassy Entrapment, Eric R. Williams, Christian X. Ruff, Morgan Stefik
Unimer Suppression Enables Supersaturated Homopolymer Swollen Micelles With Long-Term Stability After Glassy Entrapment, Eric R. Williams, Christian X. Ruff, Morgan Stefik
Faculty Publications
Micelle sizes are critical for a range of applications where the simple ability to adjust and lock in specific stable sizes has remained largely elusive. While micelle swelling agents are well-known, their dynamic re-equilibration in solution implies limited stability. Here, a non-equilibrium processing sequence is studied where supersaturated homopolymer swelling is combined with glassy-core (“persistent”) micelles. This path-dependent process was found to sensitively depend on unimer concentration as revealed by DLS, SAXS, and TEM analysis. Here, lower-selectivity solvent combinations led to the formation of unimer-homopolymer aggregates and eventual precipitation, reminiscent of anomalous micellization. In contrast, higher-selectivity solvents enabled supersaturated homopolymer …
Unimer Suppression Enables Supersaturated Homopolymer Swollen Micelles With Long-Term Stability After Glassy Entrapment, Eric R. Williams, Christian X. Ruff, Morgan Stefik
Unimer Suppression Enables Supersaturated Homopolymer Swollen Micelles With Long-Term Stability After Glassy Entrapment, Eric R. Williams, Christian X. Ruff, Morgan Stefik
Faculty Publications
Micelle sizes are critical for a range of applications where the simple ability to adjust and lock in specific stable sizes has remained largely elusive. While micelle swelling agents are well-known, their dynamic re-equilibration in solution implies limited stability. Here, a non-equilibrium processing sequence is studied where supersaturated homopolymer swelling is combined with glassy-core (“persistent”) micelles. This path-dependent process was found to sensitively depend on unimer concentration as revealed by DLS, SAXS, and TEM analysis. Here, lower-selectivity solvent combinations led to the formation of unimer-homopolymer aggregates and eventual precipitation, reminiscent of anomalous micellization. In contrast, higher-selectivity solvents enabled supersaturated homopolymer …
Forecasting The Strength Of Graphene Nanoparticles-Reinforced Cementitious Composites Using Ensemble Learning Algorithms, Majid Khan, Roz-Ud-Din Nassar, Waqar Anwar, Mazhar Rasheed, Taoufik Najeh, Yaser Gamil, Furqan Farooq
Forecasting The Strength Of Graphene Nanoparticles-Reinforced Cementitious Composites Using Ensemble Learning Algorithms, Majid Khan, Roz-Ud-Din Nassar, Waqar Anwar, Mazhar Rasheed, Taoufik Najeh, Yaser Gamil, Furqan Farooq
Faculty Publications
Contemporary infrastructure requires structural elements with enhanced mechanical strength and durability. Integrating nanomaterials into concrete is a promising solution to improve concrete strength and durability. However, the intricacies of such nanoscale cementitious composites are highly complex. Traditional regression models encounter limitations in capturing these intricate compositions to provide accurate and reliable estimations. This study focuses on developing robust prediction models for the compressive strength (CS) of graphene nanoparticle-reinforced cementitious composites (GrNCC) through machine learning (ML) algorithms. Three ML models, bagging regressor (BR), decision tree (DT), and AdaBoost regressor (AR), were employed to predict CS based on a comprehensive dataset of …
Forecasting The Strength Of Graphene Nanoparticles-Reinforced Cementitious Composites Using Ensemble Learning Algorithms, Majid Khan, Roz-Ud-Din Nassar, Waqar Anwar, Mazhar Rasheed, Taoufik Najeh, Yaser Gamil, Furqan Farooq
Forecasting The Strength Of Graphene Nanoparticles-Reinforced Cementitious Composites Using Ensemble Learning Algorithms, Majid Khan, Roz-Ud-Din Nassar, Waqar Anwar, Mazhar Rasheed, Taoufik Najeh, Yaser Gamil, Furqan Farooq
Faculty Publications
Contemporary infrastructure requires structural elements with enhanced mechanical strength and durability. Integrating nanomaterials into concrete is a promising solution to improve concrete strength and durability. However, the intricacies of such nanoscale cementitious composites are highly complex. Traditional regression models encounter limitations in capturing these intricate compositions to provide accurate and reliable estimations. This study focuses on developing robust prediction models for the compressive strength (CS) of graphene nanoparticle-reinforced cementitious composites (GrNCC) through machine learning (ML) algorithms. Three ML models, bagging regressor (BR), decision tree (DT), and AdaBoost regressor (AR), were employed to predict CS based on a comprehensive dataset of …
Muse-Alma Haloes X: The Stellar Masses Of Gas-Rich Absorbing Galaxies, Ramona Augustin, Céline Péroux, Arjun Karki, Varsha Kulkarni, Simon Weng, A Hamanowicz, M Hayes, J C. Howk, G G. Kacprzak, A Klitsch, M A. Zwaan, A Fox, A Biggs, A Y. Fresco, S Kassin, H. Kuntschner
Muse-Alma Haloes X: The Stellar Masses Of Gas-Rich Absorbing Galaxies, Ramona Augustin, Céline Péroux, Arjun Karki, Varsha Kulkarni, Simon Weng, A Hamanowicz, M Hayes, J C. Howk, G G. Kacprzak, A Klitsch, M A. Zwaan, A Fox, A Biggs, A Y. Fresco, S Kassin, H. Kuntschner
Faculty Publications
The physical processes by which gas is accreted onto galaxies, transformed into stars, and then expelled from galaxies are of paramount importance to galaxy evolution studies. Observationally constraining each of these baryonic components in the same system, however, is challenging. Furthermore, simulations indicate that the stellar mass of galaxies is a key factor influencing CGM properties. Indeed, absorption lines detected against background quasars offer the most compelling way to study the cold gas in the circumgalactic medium (CGM). The MUSE-ALMA Haloes survey is composed of quasar fields covered with VLT/MUSE observations, comprising 32 H i absorbers at 0.2 < z < 1.4 and 79 associated galaxies, with available or upcoming molecular gas measurements from ALMA. We use a dedicated 40-orbit HST …
New Calabi–Yau Manifolds From Genetic Algorithms, Per Berglund, Yang-Hui He, Elli Heyes, Edward Hirst, Vishnu Jejjala, Andre Lukas
New Calabi–Yau Manifolds From Genetic Algorithms, Per Berglund, Yang-Hui He, Elli Heyes, Edward Hirst, Vishnu Jejjala, Andre Lukas
Faculty Publications
Calabi–Yau manifolds can be obtained as hypersurfaces in toric varieties built from reflexive polytopes. We generate reflexive polytopes in various dimensions using a genetic algorithm. As a proof of principle, we demonstrate that our algorithm reproduces the full set of reflexive polytopes in two and three dimensions, and in four dimensions with a small number of vertices and points. Motivated by this result, we construct five-dimensional reflexive polytopes with the lowest number of vertices and points. By calculating the normal form of the polytopes, we establish that many of these are not in existing datasets and therefore give rise to …
Affirming Culture And Cultural Identity In The Bilingual/Esl Classrooms, Frank Lucido, David Jimenez, Shifang Tang
Affirming Culture And Cultural Identity In The Bilingual/Esl Classrooms, Frank Lucido, David Jimenez, Shifang Tang
Faculty Publications
In Texas and throughout the United States, the increasing linguistic diversity within educational settings necessitates the expansion of bilingual and ESL programs. Approximately 5 million school-age children in the U.S. are identified as English learners, and many more are raised in non-English-speaking households. This represents about one-quarter of all K-12 students in the U.S., amounting to nearly 18 million children, most of whom have immigrant parents (Mitchell, 2020a). The urgency to address their needs is amplified by concerns that prolonged school closures could worsen the challenges faced by this demographic, which already includes heightened risks of homelessness, hunger, and educational …
Dynamic Volunteer Engagement And Impactful Educational Outreach Taking Us Into The Next 50 Years Of The Extension Master Gardener Program, Heather Kirk-Ballard, Kristine M. Lang, Esther Mcginnis, Kerry Smith, Lucy Bradley
Dynamic Volunteer Engagement And Impactful Educational Outreach Taking Us Into The Next 50 Years Of The Extension Master Gardener Program, Heather Kirk-Ballard, Kristine M. Lang, Esther Mcginnis, Kerry Smith, Lucy Bradley
Faculty Publications
According to the 2021 Extension Master Gardener (EMG) National Summary, the EMG Volunteer Program had an estimated 84,700 volunteers throughout the United States. These volunteers helped communities garden and grow food, provided opportunities to engage in activities that improved physical and mental health, and worked on projects that addressed environmental issues. In total, these programs contributed 3.1 million hours of education to local communities and $88 million dollars in value to the public. However, the COVID-19 pandemic presented challenges for the program, with many states implementing reduced requirements and increased flexibility for volunteers. The workshop “Dynamic Volunteer Engagement and Impactful …
Decay Of Multi-Point Correlation Functions In Zd, Rui Han, Fan Yang
Decay Of Multi-Point Correlation Functions In Zd, Rui Han, Fan Yang
Faculty Publications
We prove multi-point correlation bounds in Zd for arbitrary d≥1 with symmetrized distances, answering open questions proposed by Sims–Warzel (Commun Math Phys 347(3):903–931, 2016) and Aza–Bru–Siqueira Pedra (Commun Math Phys 360(2):715–726, 2018). As applications, we prove multi-point correlation bounds for the Ising model on Zd, and multi-point dynamical localization in expectation for uniformly localized disordered systems, which provides the first examples of this conjectured phenomenon by Bravyi–König (Commun Math Phys 316(3):641–692, 2012).
Quantum Scalar Fields Interacting With Quantum Black Hole Asymptotic Regions, Rodolfo Gambini, Jorge Pullin
Quantum Scalar Fields Interacting With Quantum Black Hole Asymptotic Regions, Rodolfo Gambini, Jorge Pullin
Faculty Publications
We continue our work on the study of spherically symmetric loop quantum gravity coupled to two spherically symmetric scalar fields, with one that acts as a clock. As a consequence of the presence of the latter, we can define a true Hamiltonian for the theory. In previous papers, we studied the theory for large values of the radial coordinate, i.e., far away from any black hole or star that may be present. This makes the calculations considerably more tractable. We have shown that in the asymptotic region, the theory admits a large family of quantum vacua for quantum matter fields …
Mapping Crown Rust Resistance In The Oat Diploid Accession Pi 258731 (Avena Strigosa), Rawnaq N. Chowdhury, Tyler Gordon, Md Ali Babar, Stephen A. Harrison, Shahryar F. Kianian, Kathy Esvelt Klos
Mapping Crown Rust Resistance In The Oat Diploid Accession Pi 258731 (Avena Strigosa), Rawnaq N. Chowdhury, Tyler Gordon, Md Ali Babar, Stephen A. Harrison, Shahryar F. Kianian, Kathy Esvelt Klos
Faculty Publications
Oat crown rust, caused by Puccinia coronata Corda f. sp. avenae Eriks. (Pca), is a major biotic impediment to global oat production. Crown rust resistance has been described in oat diploid species A. strigosa accession PI 258731 and resistance from this accession has been successfully introgressed into hexaploid A. sativa germplasm. The current study focuses on 1) mapping the location of QTL containing resistance and evaluating the number of quantitative trait loci (QTL) conditioning resistance in PI 258731; 2) understanding the relationship between the original genomic location in A. strigosa and the location of the introgression in the A. sativa …
Residual Optical Absorption From Native Defects In Cdsip2 Crystals, Timothy D. Gustafson, Nancy C. Giles, Elizabeth M. Scherrer, Kevin T. Zawilski, Peter G. Schunemann, Kent L. Averett, Jonathan E. Slagle, Larry E. Halliburton
Residual Optical Absorption From Native Defects In Cdsip2 Crystals, Timothy D. Gustafson, Nancy C. Giles, Elizabeth M. Scherrer, Kevin T. Zawilski, Peter G. Schunemann, Kent L. Averett, Jonathan E. Slagle, Larry E. Halliburton
Faculty Publications
CdSiP2 crystals are used in optical parametric oscillators to produce tunable output in the mid-infrared. As expected, the performance of the OPOs is adversely affected by residual optical absorption from native defects that are unintentionally present in the crystals. Electron paramagnetic resonance (EPR) identifies these native defects. Singly ionized silicon vacancies (V-Si) are responsible for broad optical absorption bands peaking near 800, 1033, and 1907 nm. A fourth absorption band, peaking near 630 nm, does not involve silicon vacancies. Exposure to 1064 nm light when the temperature of the CdSiP2 crystal is near 80K converts …
Natural Language Processing Analysis Of Online Reviews For Small Business: Extracting Insight From Small Corpora, Benjamin J. Mccloskey, Phillip M. Lacasse, Bruce A. Cox
Natural Language Processing Analysis Of Online Reviews For Small Business: Extracting Insight From Small Corpora, Benjamin J. Mccloskey, Phillip M. Lacasse, Bruce A. Cox
Faculty Publications
Receiving and acting on customer input is essential to sustaining and growing any service organization, particularly a small family business whose livelihood depends on strong relationships with its customers. The competitive advantage offered by advanced analytical approaches for supporting decisions is not trivial, and enterprises across virtually all domains of society are investing heavily in this emerging discipline. Natural Language Processing (NLP) is a subset of computer science that employs computational approaches to analyze human language; it is effective at extracting insight from text data but frequently requires large corpora to train its models, in the scale of thousands or …
Effect Of Teacher Social Support On Students’ Emotions And Learning Engagement: A U.S.-Chinese Classroom Investigation, Moyi Jia, Jiuqing Cheng
Effect Of Teacher Social Support On Students’ Emotions And Learning Engagement: A U.S.-Chinese Classroom Investigation, Moyi Jia, Jiuqing Cheng
Faculty Publications
Psychological and instructional communication researchers increasingly recognize the significance of student emotions in determining their engagement in the classroom. Under the direction of Emotional Response Theory (Mottet, Frymier, & Beebe, 2006), this study aims to establish a model of a college instructor’s social support, student positive and negative emotions, and student engagement in learning. It also attempts to extend this research by examining cultural differences in U.S. and Chinese classrooms and how these factors influence teacher behavior and student emotions. The result demonstrates the mediating effects of student positive emotions between teacher support and student engagement in both cultures. In …
Women At Work: Pathways From Gender Stereotypes To Gender Bias And Discrimination, Madeline E. Heilman, Suzette Caleo, Francesca Manzi
Women At Work: Pathways From Gender Stereotypes To Gender Bias And Discrimination, Madeline E. Heilman, Suzette Caleo, Francesca Manzi
Faculty Publications
Despite important advances, gender-based discrimination continues to hin-der women’s career progress. This review examines the role that gender stereotypes play in promoting gender bias and discrimination. After review- ing what is known about the content of gender stereotypes and examining both their descriptive and prescriptive aspects, we discuss two pathways through which stereotypes result in discrepant work outcomes for women and men. First, we consider how the characterization of women as com- munal but not agentic conflicts with the perceived demands of many male gender-typed jobs and fields, thus promoting perceptions of women’s lack of competence in those areas. Second, …
Machine-Learning-Assisted Leak Detection Using Distributed Temperature And Acoustic Sensors, Hayden Gemeinhardt, Jyotsna Sharma
Machine-Learning-Assisted Leak Detection Using Distributed Temperature And Acoustic Sensors, Hayden Gemeinhardt, Jyotsna Sharma
Faculty Publications
Small leaks, many of which often go undetected using conventional gauges, remain an urgent problem for an aging pipeline infrastructure. This article proposes a method that allows for an automated and robust leak detection and localization system by fusing distributed acoustic sensor (DAS) and distributed temperature sensor (DTS) data for machine learning. Distributed fiber-optic sensing creates an advantage over conventional gauges by providing real-time continuous measurements along the entire length of the fiber-instrumented pipeline at a high spatiotemporal resolution and sensitivity that can detect small leaks, as well as the leak location. High sensitivity, however, can create noisy data. Thus, …
Model Predictive Control Of A Lab-Scale Thermal Energy Storage System In Relap5-3d, Jaron Wallace, Daniel Hill, David Thurston, John Hedengren, Matthew Memmott
Model Predictive Control Of A Lab-Scale Thermal Energy Storage System In Relap5-3d, Jaron Wallace, Daniel Hill, David Thurston, John Hedengren, Matthew Memmott
Faculty Publications
Increased renewable energy penetration of an electrical grid generally creates more supply fluctuations. Traditional base-load systems, such as nuclear power, can be retrofitted with thermal energy storage (TES) systems to meet supply demand fluctuations. These systems can store energy during low electricity demand times to allow the reactor to operate at constant power while simultaneously fluctuating electricity output. The control of these systems is of vital importance and Model Predictive Control (MPC) is a leading control mechanism for optimized production plans with forecast information. This study combines high fidelity RELAP5-3D models with MPC to control an experimental benchtop system that …
On Lightweight Shape Memory Vitrimer Composites, Siavash Sarrafan, Guoqiang Li
On Lightweight Shape Memory Vitrimer Composites, Siavash Sarrafan, Guoqiang Li
Faculty Publications
Lightweight materials are highly desired in many engineering applications. A popular approach to obtain lightweight polymers is to prepare polymeric syntactic foams by dispersing hollow particles, such as hollow glass microbubbles (HGMs), in a polymer matrix. Integrating shape memory vitrimers (SMVs) in fabricating these syntactic foams enhances their appeal due to the multifunctionality of SMVs. The SMV-based syntactic foams have many potential applications, including actuators, insulators, and sandwich cores. However, there is a knowledge gap in understanding the effect of the HGM volume fraction on different material properties and behaviors. In this study, we prepared an SMV-based syntactic foam to …
Editorial: Observations And Simulations Of Layering Phenomena In The Middle/Upper Atmosphere And Ionosphere, Bingkun Yu, Xuguang Cai, Daniel J. Emmons Ii, Chong Wang, Jainfei Wu
Editorial: Observations And Simulations Of Layering Phenomena In The Middle/Upper Atmosphere And Ionosphere, Bingkun Yu, Xuguang Cai, Daniel J. Emmons Ii, Chong Wang, Jainfei Wu
Faculty Publications
The middle/upper atmosphere and ionosphere are the transition between neutral and ionized components of the Earth’s atmosphere, including stratosphere, mesosphere, thermosphere, ionospheric E region and ionospheric F region (Laštovička et al., 2006; Xu, et al., 2007; Smith, 2012). The atmospheric thermal structure and composition are significantly affected by dynamical processes through coupling. The layering phenomena such as mesospheric metal layers, sporadic E layers, and noctilucent clouds are important tracers to study mechanisms of the vertical coupling from the lower to the upper atmosphere (Dou et al., 2010; Plane, 2012; Xue et al., 2013).
Detection And Classification Of Sporadic E Using Convolutional Neural Networks, J. A. Ellis, Daniel J. Emmons, M. B. Cohen
Detection And Classification Of Sporadic E Using Convolutional Neural Networks, J. A. Ellis, Daniel J. Emmons, M. B. Cohen
Faculty Publications
In this work, convolutional neural networks (CNN) are developed to detect and characterize sporadic E (Es), demonstrating an improvement over current methods. This includes a binary classification model to determine if Es is present, followed by a regression model to estimate the Es ordinary mode critical frequency (foEs), a proxy for the intensity, along with the height at which the Es layer occurs (hEs). Signal-to-noise ratio (SNR) and excess phase profiles from six Global Navigation Satellite System (GNSS) radio occultation (RO) missions during the years 2008–2022 are used as the inputs of the model. Intensity (foEs) and the …