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Articles 1681 - 1710 of 42410
Full-Text Articles in Entire DC Network
Building Family Partnerships In A Catholic School By Connecting After-School And Home With Mathematics, Bilge Cerezci
Building Family Partnerships In A Catholic School By Connecting After-School And Home With Mathematics, Bilge Cerezci
Journal of Catholic Education
Parents need guidance, support, and motivation to learn how to support their young children’s mathematical development in ways that are more foundational and effective. In Addition After School Math Program serves twenty-four students in grades 3, 4, and 5 and their parents in an urban neighborhood at a Catholic elementary school. In In-Addition After School Math Program, we see families as partners and build our after-school program around supporting mathematics thinking and discoveries by engaging the whole family.
Charting A New Frontier Integrating Mathematical Modeling In Complex Biological Systems From Molecules To Ecosystems, Katharine A. White, Kira D. Mcentire, Nicole R. Buan, Lecia Robinson, Elisar Barbar
Charting A New Frontier Integrating Mathematical Modeling In Complex Biological Systems From Molecules To Ecosystems, Katharine A. White, Kira D. Mcentire, Nicole R. Buan, Lecia Robinson, Elisar Barbar
Department of Biochemistry: Faculty Publications
Advances in quantitative biology data collection and analysis across scales (molecular, cellular, organismal, and ecological) have transformed how we understand, categorize, and predict complex biological systems. This surge of quantitative data creates an opportunity to apply, develop, and evaluate mathematical models of biological systems and explore novel methods of analysis. Simultaneously, thanks to increased computational power, mathematicians, engineers, and physical scientists have developed sophisticated models of biological systems at different scales. Novel modeling schemes can offer deeper understanding of principles in biology, but there is still a disconnect between modeling and experimental biology that limits our ability to fully realize …
The Chinese Remainder Theorem, Carol S. Jackson
The Chinese Remainder Theorem, Carol S. Jackson
Mathematics Capstone Projects
The oldest remainder problems in the world date back to 3rd century China. The Chinese Remainder Theorem was used as the basis in calendar computations, construction, commerce and astronomy problems. Today, the theorem has advanced uses in many branches of mathematics and extensive applications in computing, coding and cryptography. The Chinese Remainder Theorem is an excellent example of how mathematics that emerged in the 3rd century AC has developed and remains relevant in today’s world.
This paper will explore the historical development of the Chinese Remainder Theorem along with central properties of linear congruences. In addition to providing …
Studying Users Interactions And Behavior In Social Media Using Natural Language Processing, Sultan Alshamrani
Studying Users Interactions And Behavior In Social Media Using Natural Language Processing, Sultan Alshamrani
Electronic Theses and Dissertations, 2020-2023
Social media platforms have been growing at a rapid pace, attracting users' engagement with the online content due to their convenience facilitated by many useful features. Such platforms provide users with interactive options such as likes, dislikes as well as a way of expressing their opinions in the form of text (i.e., comments). As more people engage in different social media platforms, such platforms will increase in both size and importance. This growth in social media data is becoming a vital new area for scholars and researchers to explore this new form of communication. The huge data from social media …
Machine Learning Techniques For Topic Detection And Authorship Attribution In Textual Data, Fereshteh Jafariakinabad
Machine Learning Techniques For Topic Detection And Authorship Attribution In Textual Data, Fereshteh Jafariakinabad
Electronic Theses and Dissertations, 2020-2023
The unprecedented expansion of user-generated content in recent years demands more attempts of information filtering in order to extract high-quality information from the huge amount of available data. In this dissertation, we begin with a focus on topic detection from microblog streams, which is the first step toward monitoring and summarizing social data. Then we shift our focus to the authorship attribution task, which is a sub-area of computational stylometry. It is worth mentioning that determining the style of a document is orthogonal to determining its topic, since the document features which capture the style are mainly independent of its …
Effect Of Various Speed Management Strategies On Bicycle Crashes For Urban Roads In Central Florida, Jorge Ugan
Effect Of Various Speed Management Strategies On Bicycle Crashes For Urban Roads In Central Florida, Jorge Ugan
Electronic Theses and Dissertations, 2020-2023
In recent years, cycling has become an increasingly popular transportation mode around the world. In contrast to other popular modes of transportation, cycling is more economic and energy efficient. While many studies have been conducted for the bicycle safety analysis, most of them were limited in terms of bicycle exposure data and on-street data. This study tries to improve the current safety performance functions for bicycle crashes at urban corridors by utilizing crowdsource data from STRAVA and on-street speed management strategies data. Speed management strategies are any roadway alterations that causes a change in motorists' driving behavior. In Florida, these …
Spectral Dependence Of Deep Subwavelength Metallic Apertures In The Mid-Wave Infrared, Heath Gemar
Spectral Dependence Of Deep Subwavelength Metallic Apertures In The Mid-Wave Infrared, Heath Gemar
Electronic Theses and Dissertations, 2020-2023
For two decades, extraordinary optical transmission (EOT) has amplified exploration into subwavelength systems. Researchers have previously suggested exploiting the spectrally selective electromagnetic field confinement of subwavelength cavities for multispectral detectors. Utilizing the finite-difference frequency domain (FDFD) method, we examine electromagnetic field confinement in both 2-dimensional and 3-dimensional scenarios from 2.5 to 6 microns (i.e., mid-wave infrared or MWIR). We explore the trade space of deep subwavelength cavities and its impact on resonant enhancement of the electromagnetic field. The studies provide fundamental understanding of the coupling mechanisms allowing for prediction of resonant spectral behavior based on cavity geometry and material properties. …
Autonomous Corporate Personhood, Carla L. Reyes
Autonomous Corporate Personhood, Carla L. Reyes
Washington Law Review
Several states have recently changed their business organization law to accommodate autonomous businesses—businesses operated entirely through computer code. A variety of international civil society groups are also actively developing new frameworks— and a model law—for enabling decentralized, autonomous businesses to achieve a corporate or corporate-like status that bestows legal personhood. Meanwhile, various jurisdictions, including the European Union, have considered whether and to what extent artificial intelligence (AI) more broadly should be endowed with personhood to respond to AI’s increasing presence in society. Despite the fairly obvious overlap between the two sets of inquiries, the legal and policy discussions between the …
Volatiles Characterization During Whiskey Production Using Headspace - Solid Phase Microextraction - Gas Chromatography - Mass Spectrometry, Robert H. Magnuson
Volatiles Characterization During Whiskey Production Using Headspace - Solid Phase Microextraction - Gas Chromatography - Mass Spectrometry, Robert H. Magnuson
Chemistry & Biochemistry Theses - Archive
Whiskey is the second most consumed distilled alcoholic beverage type, by brand, on the planet behind Chinese Baijiu. A prominent component in many varieties of whiskey, maize, contributes a wide profile of compounds that undergo modification in the production pathway, ultimately influencing the final flavor profile. In this study, headspace/solid phase microextraction-gas chromatography/mass spectrometry (HS/SPME-GC/MS) was used to characterize the volatile profile of 5 different maize varieties, mashes produced from each, and 4 post-fermentation mixtures. Headspace sampling was performed using a high capacity SPME Arrow device, in an effort maximize the species detected. Compound identification was supplied by matches within …
Molecular Structure Retrieval Directly From Laboratory-Frame Photoelectron Spectra In Laser-Induced Electron Diffraction, A. Sanchez, K. Amini, S. J. Wang, T. Steinle, B. Belsa, J. Danek, Anh-Thu Le, For Full List Of Authors, See Publisher's Website.
Molecular Structure Retrieval Directly From Laboratory-Frame Photoelectron Spectra In Laser-Induced Electron Diffraction, A. Sanchez, K. Amini, S. J. Wang, T. Steinle, B. Belsa, J. Danek, Anh-Thu Le, For Full List Of Authors, See Publisher's Website.
Physics Faculty Research & Creative Works
Ubiquitous to most molecular scattering methods is the challenge to retrieve bond distance and angle from the scattering signals since this requires convergence of pattern matching algorithms or fitting methods. This problem is typically exacerbated when imaging larger molecules or for dynamic systems with little a priori knowledge. Here, we employ laser-induced electron diffraction (LIED) which is a powerful means to determine the precise atomic configuration of an isolated gas-phase molecule with picometre spatial and attosecond temporal precision. We introduce a simple molecular retrieval method, which is based only on the identification of critical points in the oscillating molecular interference …
Triply Differential Positron And Electron Impact Ionization Of Argon: Systematic Features And Scaling, Robert D. Dubois, O. G. De Lucio
Triply Differential Positron And Electron Impact Ionization Of Argon: Systematic Features And Scaling, Robert D. Dubois, O. G. De Lucio
Physics Faculty Research & Creative Works
Triply differential data are presented for the 200 eV positron and electron impact ionization of argon. Six electron emission energies between 2.6 and 19 eV, and for scattering angles of 2, 3, and 4 degrees cover a momentum transfer range of 0.16 to 0.31 a.u. The binary and recoil intensities are fitted using a double peak structure in both regions, which, for the present kinematic conditions, are unresolved. The fitted peak intensities and angular positions are shown to have systematic dependences as a function of the momentum transfer and kinematic emission angle, respectively, and illustrate projectile charge effects. A comparison …
Use Patterns And Influencing Factors Of Irrigation Best Management Practices In The Lower Mississippi River Basin, Merri E. Day
Use Patterns And Influencing Factors Of Irrigation Best Management Practices In The Lower Mississippi River Basin, Merri E. Day
Graduate Theses and Dissertations
This study uses the 2016 Irrigation Survey from Arkansas, Louisiana, and Mississippi to document the use of irrigation best management practices (IBMPs), analyze use patterns, and use quantitative methods to determine factors that influence producers’ decisions regarding IBMPs. IBMPs included in the survey can be grouped as: field management practices (zero-grade leveling, precision-grade leveling, end blocking, warped surface, and deep tillage), water flow control practices (computerized pipe-hole selection, multiple-inlet irrigation, surge irrigation, alternate wetting and drying, cutback irrigation, flow meters, and pump timers), water recovery/storage practices (tail-water recovery system and on-farm storage reservoir), and advanced irrigation scheduling practices (soil moisture …
Using Iphone Significant Location Data To Improve Air Pollution Exposure Estimation, Elizabeth Eastman
Using Iphone Significant Location Data To Improve Air Pollution Exposure Estimation, Elizabeth Eastman
Electronic Theses and Dissertations, 2020-2023
An accurate estimation of human exposure to ambient air pollution is crucial for air pollution health studies. Time-activity patterns may introduce substantial uncertainties in exposure estimation. As smartphones are becoming increasingly popular and their ownership is becoming ubiquitous in the US. Virtually all smartphones can collect location data, and such data is continuously somewhere. Therefore, it is clear that such stored location data has the potential to be used for characterizing an individual's time-activity patterns for air pollution health studies. However, studies on the accuracy and feasibility of using a smartphone's location data in air pollution exposure estimation are still …
Utilizing High Throughput Computing Techniques For The Predictions Of Spectroscopic Properties Of Astrophysically Relevant Molecules, Brian Ferrari
Utilizing High Throughput Computing Techniques For The Predictions Of Spectroscopic Properties Of Astrophysically Relevant Molecules, Brian Ferrari
Electronic Theses and Dissertations, 2020-2023
Here, we utilize Quantum Chemistry (QC) approaches to predict the structures, vibrational frequencies, infrared intensities and Raman activities of unusual molecular species using the General Atomic and Molecular Structure System (GAMESS(US)) package. A Python-based software, AutoGAMESS, was developed to automate the workflow and take advantage of High Throughput Computing (HTC) techniques enabling the automated generation of spectroscopic data from hundreds of calculations. This approach was utilized to determine these properties for a series of carbon oxides (C2On; n = 3 to 4), anticipated to be produced during the radiation of pure carbon dioxide ices, under conditions relevant to the interstellar …
High Spectral Brightness, Broad Area Quantum Cascade Lasers, Enrique Sanchez Cristobal
High Spectral Brightness, Broad Area Quantum Cascade Lasers, Enrique Sanchez Cristobal
Electronic Theses and Dissertations, 2020-2023
Quantum cascade lasers are unipolar semiconductor lasers that offer a unique combination of compact size, high efficiency, high optical power, and flexibility to achieve a targeted emission wavelength with the same laser core material composition, employing so-called bandgap engineering. Since their invention in 1994, watt-level CW power with 5 to 20 % wallplug efficiency was demonstrated for QCLs throughout the entire 4 to 12 µm range, which makes QCLs very attractive for a number of practical applications. Our earlier work on broad-area QCLs emitting in the 4.6 µm to 5.7 µm spectral range demonstrated that CW power scaling with lateral …
Anomaly Detection And Failure Prediction In Gas Turbines, Vipul Goyal
Anomaly Detection And Failure Prediction In Gas Turbines, Vipul Goyal
Electronic Theses and Dissertations, 2020-2023
This study is based on time-series data taken from the combined cycle heavy-duty utility gas turbines. For analysis, first, a multi-stage vector autoregressive model is constructed for the nominal operation of powerplant assuming sparsity in the association among variables, and this model is used as a basis for anomaly detection and prediction. This prediction is compared with the time-series data of the powerplant test data containing anomalies. Granger causality networks, which are based on the associations between the time series streams, can be learned as an important implication from the vector autoregressive modelling. This method suffers from the disadvantage that …
Wavelet Particle Hydrodynamics For Less Smooth Flow, Oddny Brun
Wavelet Particle Hydrodynamics For Less Smooth Flow, Oddny Brun
Electronic Theses and Dissertations, 2020-2023
The purpose of this research was to improve the smoothing operation in smoothed particle hydrodynamics, SPH, when the flow of matter is not smooth. Our main focuses are on the kernel selection, identifying the discontinuities in the sequences to be smoothed, and use of the Laplacian as opposed to artificial viscosity for improved physical accuracy. The results show that alternative kernels result in differences in how matter flows. These effects are explained by the kernels' gradient and Laplacian properties. Five alternative kernels were included in our analysis and our SPH-based simulation cases. Further, the sequences to be smoothed by the …
Nonlinear Light-Matter Interactions In Novel Crystals For Broadband Mid-Infrared Generation, Taiki Kawamori
Nonlinear Light-Matter Interactions In Novel Crystals For Broadband Mid-Infrared Generation, Taiki Kawamori
Electronic Theses and Dissertations, 2020-2023
Mid-infrared (MIR) laser sources have demonstrated diverse applications in science and technology. For spectroscopy applications, numerous molecules have unique absorption features in this range, and one needs a spectrally broad coherent laser source for parallel detection of mixtures of species. Frequency down-conversion in nonlinear optical materials via second-order nonlinear susceptibility is one of the promising techniques to generate the spectral coverage of more than an octave in the MIR, assisted by emerging novel crystals. The nonlinear light-matter interactions in such special crystals as ZnSe ceramics have not been analyzed. Additionally, through the use of high-intensity few-cycle optical pulses, high-order nonlinear …
December 1, 2021 Faculty Senate Minutes, University Of South Carolina
December 1, 2021 Faculty Senate Minutes, University Of South Carolina
Faculty Senate
No abstract provided.
Map-Gan: Unsupervised Learning Of Inverse Problems, Brandon S. Campanella
Map-Gan: Unsupervised Learning Of Inverse Problems, Brandon S. Campanella
Master's Theses
In this paper we outline a novel method for training a generative adversarial network based denoising model from an exclusively corrupted and unpaired dataset of images. Our model can learn without clean data or corrupted image pairs, and instead only requires that the noise distribution is able to be expressed analytically and that the noise at each pixel is independent. We utilize maximum a posteriori estimation as the underlying solution framework, optimizing over the analytically expressed noise generating distribution as the likelihood and employ the GAN as the prior. We then evaluate our method on several popular datasets of varying …
Triangular Cosserat Point Element Method For Reducing Soft Tissue Artifact: Validation And Application To Gait, Jake Edward Deschamps, Stephen Klisch
Triangular Cosserat Point Element Method For Reducing Soft Tissue Artifact: Validation And Application To Gait, Jake Edward Deschamps, Stephen Klisch
Master's Theses
Human motion capture technology is a powerful tool for advancing the understanding of human motion biomechanics (Andriacchi and Alexander, 2000). This is most readily accomplished by applying retroreflective markers to a participant’s skin and tracking the position of the markers during motion. Skin and adipose tissue move independently of the underlying bone during motion creating error known as soft tissue artifact (STA), the primary source of error in human motion capture (Leardini et al., 2005).
(Solav et al., 2014) proposed and (Solav et al., 2015) expanded the triangular Cosserat point element (TCPE) method to reduce the effect of STA on …
An Analysis Of Camera Configurations And Depth Estimation Algorithms For Triple-Camera Computer Vision Systems, Jared Peter-Contesse
An Analysis Of Camera Configurations And Depth Estimation Algorithms For Triple-Camera Computer Vision Systems, Jared Peter-Contesse
Master's Theses
The ability to accurately map and localize relevant objects surrounding a vehicle is an important task for autonomous vehicle systems. Currently, many of the environmental mapping approaches rely on the expensive LiDAR sensor. Researchers have been attempting to transition to cheaper sensors like the camera, but so far, the mapping accuracy of single-camera and dual-camera systems has not matched the accuracy of LiDAR systems. This thesis examines depth estimation algorithms and camera configurations of a triple-camera system to determine if sensor data from an additional perspective will improve the accuracy of camera-based systems. Using a synthetic dataset, the performance of …
Why Science Is Important To Us All: Identity And Environment, Anita K. Foeman
Why Science Is Important To Us All: Identity And Environment, Anita K. Foeman
Sustainability Research & Practice Seminar Presentations
Professor Anita Foeman, Communication and Media - Why Science is Important to Us All: Identity and Environment
Teacher Preparation, Motivation, And Self-Efficacy: A Comparative Study Of New Teachers In Japan And The United States, Shaoan Zhang, Andromeda Hightower, Qingmin Shi
Teacher Preparation, Motivation, And Self-Efficacy: A Comparative Study Of New Teachers In Japan And The United States, Shaoan Zhang, Andromeda Hightower, Qingmin Shi
Teaching and Learning Faculty Research
Using the Teaching and Learning International Survey (TALIS) 2018, this study examines U.S. and Japanese new teachers’ initial teacher preparation (ITP), feelings of preparedness, motivations, and self-efficacy. The analysis of 355 U.S. and 433 Japanese new secondary teachers provided several findings. First, ITP in the U.S. more often included teaching in mixed-ability and multicultural settings, cross-curricular skills, and technology than Japan, and U.S. teachers felt more prepared than Japanese teachers in every category of preparation. Second, Japanese teachers were more likely to declare teaching as their first career choice and reportedly scored significantly higher on motivations to become a teacher …
Implementing Big Data Analytics In Marketing Departments: Mixing Organic And Administered Approaches To Increase Data-Driven Decision Making, Devon S. Johnson, Debika Sihi
Implementing Big Data Analytics In Marketing Departments: Mixing Organic And Administered Approaches To Increase Data-Driven Decision Making, Devon S. Johnson, Debika Sihi
Department of Marketing Faculty Scholarship and Creative Works
This study examines the experience of marketing departments to become fully data-driven decision-making organizations. We evaluate an organic approach of departmental sensemaking and an administered approach by which top management increase the influence of analytics skilled employees. Data collection commenced with 15 depth interviews of marketing and analytics professionals in the US and Europe involved in the implementation of big data analytics (BDA) and was followed by a survey data of 298 marketing and analytics middle management professionals at United States based firms. The survey data supports the logic that BDA sensemaking is initiated by top management and is comprised …
Study Of Voltage In Stability In Power Systems Using Catastrophe Theory., G. Mahmoud
Study Of Voltage In Stability In Power Systems Using Catastrophe Theory., G. Mahmoud
Mansoura Engineering Journal
Catastrophe theory is a mathematical technique for the qualitative analysis of system equations, defining the jump phenomena and sudden changes caused by smooth changes in the system parameters. This theory has been applied previously to the study of steady state stability of power system. This paper presents a new technique in the area of power system stability studies to describe steady-state voltage stability in terms of one of the catastrophe manifolds to which the power system can be fitted.
Yarn Crimp Ratio In Woven Fabrics Theory And Practice., Hamdy Ebraheem
Yarn Crimp Ratio In Woven Fabrics Theory And Practice., Hamdy Ebraheem
Mansoura Engineering Journal
Because of the importance of accuracy in measuring and estimating yarn crimp ratio in woven fabrics, non classical methods were searched for. In this paper mathematical formulate were derived to express yarn crimp ratio in terms of weave structure, yarn spacing, and yarn diameter. It is discriminated between floated weaves and extended weaves. In floated weaves yarn spacing is constant and equal to yarn spacing at the point of intersection. In extended weaves, yarns are separated only at points of intersection. To increase accuracy and safe effort and time consumed in measuring yarn crimp ratio is determined by weighing crimped …
[Review Of] What Is A Complex System? By James Ladyman And Karoline Wiesner. New Haven (Connecticut): Yale University Press. $35.00 (Paper). Xi + 169 P.; Ill.; Index. Isbn: 978-0-300-25110-4. 2020., Joseph Robert Burger
[Review Of] What Is A Complex System? By James Ladyman And Karoline Wiesner. New Haven (Connecticut): Yale University Press. $35.00 (Paper). Xi + 169 P.; Ill.; Index. Isbn: 978-0-300-25110-4. 2020., Joseph Robert Burger
Biology Faculty Publications
No abstract provided.
Genomics And Transcriptomics Landscapes Associated To Changes In Insulin Sensitivity In Response To Endurance Exercise Training, Louise Y. Takeshita, Peter K. Davidsen, John M. Herbert, Philipp Antczak, Matthijs K.C. Hesselink, Patrick Schrauwen, S. John Weisnagel, Jeremy M. Robbins, Robert E. Gerszten, Sujoy Ghosh, Mark A. Sarzynski, Claude Bouchard, Francesco Falciani
Genomics And Transcriptomics Landscapes Associated To Changes In Insulin Sensitivity In Response To Endurance Exercise Training, Louise Y. Takeshita, Peter K. Davidsen, John M. Herbert, Philipp Antczak, Matthijs K.C. Hesselink, Patrick Schrauwen, S. John Weisnagel, Jeremy M. Robbins, Robert E. Gerszten, Sujoy Ghosh, Mark A. Sarzynski, Claude Bouchard, Francesco Falciani
Division of Basic Science Faculty Publications
Despite good adherence to supervised endurance exercise training (EET), some individuals experience no or little improvement in peripheral insulin sensitivity. The genetic and molecular mechanisms underlying this phenomenon are currently not understood. By investigating genome-wide variants associated with baseline and exercise-induced changes (∆) in insulin sensitivity index (Si) in healthy volunteers, we have identified novel candidate genes whose mouse knockouts phenotypes were consistent with a causative effect on Si. An integrative analysis of functional genomic and transcriptomic profiles suggests genetic variants have an aggregate effect on baseline Si and ∆Si, focused around cholinergic signalling, including downstream calcium and chemokine signalling. …
Campus Community Invited To ‘Meet The Deans’ Of The Gwu College Of Arts & Sciences, Office Of University Communications
Campus Community Invited To ‘Meet The Deans’ Of The Gwu College Of Arts & Sciences, Office Of University Communications
Gardner-Webb NewsCenter Archive
The campus community is invited to “Meet the Deans” of the Gardner-Webb University College of Arts & Sciences (CoA&S) on Thursday, Dec. 2, from 3 to 5 p.m. in Tucker Student Center. Dr. Shawn Holt, dean, and Dr. Jennifer Buckner, recently named associate dean, will greet guests and provide information about the CoA&S. Sweet treats and warm beverages will be served, and fun crafts will also be provided.