Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (4113)
- Engineering (1226)
- Physics (1212)
- Astrophysics and Astronomy (686)
- Computer Sciences (663)
-
- Chemistry (591)
- Life Sciences (508)
- Earth Sciences (407)
- Law (377)
- Social and Behavioral Sciences (377)
- Medicine and Health Sciences (348)
- Education (337)
- Chemical Engineering (295)
- Mathematics (288)
- Statistics and Probability (280)
- Oceanography and Atmospheric Sciences and Meteorology (271)
- Electrical and Computer Engineering (265)
- Public Health (264)
- Mechanical Engineering (240)
- Epidemiology (213)
- Biostatistics (211)
- Biochemistry, Biophysics, and Structural Biology (190)
- Business (182)
- Biochemistry (174)
- Arts and Humanities (173)
- Environmental Sciences (147)
- Computer Engineering (138)
- Optics (124)
- Oceanography (117)
- Biogeochemistry (113)
- Institution
-
- Louisiana State University (2672)
- University of South Carolina (1605)
- Brigham Young University (1267)
- Air Force Institute of Technology (636)
- The University of Southern Mississippi (548)
-
- San Jose State University (496)
- Andrews University (484)
- Stephen F. Austin State University (256)
- University of New Hampshire (240)
- William & Mary Law School (108)
- Hope College (70)
- University of Northern Iowa (57)
- Texas Southern University (54)
- East Texas A&M University (52)
- University of Missouri School of Law (45)
- Santa Clara Law (43)
- Purdue University (40)
- Case Western Reserve University School of Law (37)
- Rollins College (36)
- University of North Carolina School of Law (32)
- Linfield University (26)
- Fordham University (25)
- Denison University (22)
- Luther Seminary (19)
- University of South Dakota (18)
- Arkansas State University (17)
- Marquette University Law School (17)
- University of Southern Maine (17)
- Villanova University Charles Widger School of Law (17)
- St. John's University School of Law (16)
- Keyword
-
- Physics (114)
- Mathematics (110)
- Chemical Engineering (98)
- Chemistry (97)
- Machine learning (96)
-
- Refereed Publications (64)
- Electrochemical electrodes (56)
- Gravitational waves (44)
- Dietary inflammatory index (35)
- Publications (35)
- Galaxies: evolution (34)
- Education (33)
- Stability (33)
- Climate change (32)
- Diffusion (31)
- Electrochemistry (31)
- Inflammation (31)
- Artificial intelligence (29)
- Delay (29)
- Galaxies: kinematics and dynamics (29)
- Deep learning (28)
- #antcenter (25)
- Current density (25)
- Neural networks (25)
- United States (25)
- Statistics (24)
- Temperature (24)
- Density functional theory (23)
- Obesity (23)
- UAV (23)
- Publication Year
- File Type
Articles 691 - 720 of 9038
Full-Text Articles in Entire DC Network
Evidence Of A Thick Heliopause Boundary Layer Resulting From Active Magnetic Reconnection With The Interstellar Medium, Drew L. Turner, Adam Michael, Elena Provornikova, Marc Kornbleuth, Merav Opher, Stefan Eriksson, Benoit Lavraud, Parisa Mostafavi, Matthew E. Hill, Pontus Brandt, Ian J. Cohen, Joseph Westlake, John D. Richardson, Nathan A. Schwadron, David J. Mccomas
Evidence Of A Thick Heliopause Boundary Layer Resulting From Active Magnetic Reconnection With The Interstellar Medium, Drew L. Turner, Adam Michael, Elena Provornikova, Marc Kornbleuth, Merav Opher, Stefan Eriksson, Benoit Lavraud, Parisa Mostafavi, Matthew E. Hill, Pontus Brandt, Ian J. Cohen, Joseph Westlake, John D. Richardson, Nathan A. Schwadron, David J. Mccomas
Faculty Publications
Voyager 1 and 2 data from the vicinity of the heliopause and very local interstellar medium are reexamined to better understand the confounding lack of rotation in the magnetic field (B-field) across the heliopause observed by both Voyagers, despite their very large spatial separations (>100 au). Using three estimates for the orientation of the B-field in the pristine interstellar medium and four models of the heliosphere, we calculate draped interstellar B-field orientations along the model heliopauses and compare those estimates to the Voyager observations. At both Voyagers, expected draped B-fields are inconsistent with the observed B-field orientations after the boundary …
The Intersection Of Gender, Caregiving, And Research Productivity During The Covid-19 Pandemic: A Multi-Method Study, Elizabeth A. Moschella-Smith, Sharyn J. Potter
The Intersection Of Gender, Caregiving, And Research Productivity During The Covid-19 Pandemic: A Multi-Method Study, Elizabeth A. Moschella-Smith, Sharyn J. Potter
Faculty Publications
The COVID-19 pandemic differentially impacted the productivity of women researchers with children compared to men, with and without children. The purpose of the present study was to examine the relationship between gender, caregiving responsibilities, and research productivity before and during the pandemic. We quantitatively and qualitatively analyzed survey (n=227) and follow-up interview data (n=44) collected from faculty and staff at a Carnegie Classification Research 1 public university. Findings suggest that women researchers with children faced increased caregiving demands and diminished research productivity during the pandemic, compared to men with children and researchers without children. As illustrated by the qualitative data, …
Accelerating L-Shaped Two-Stage Stochastic Scuc With Learning Integrated Benders Decomposition, Fouad Hasan, Amin Kargarian
Accelerating L-Shaped Two-Stage Stochastic Scuc With Learning Integrated Benders Decomposition, Fouad Hasan, Amin Kargarian
Faculty Publications
Benders decomposition is widely used to solve large mixed-integer problems. This article takes advantage of machine learning and proposes a variant of Benders decomposition to tackle two-stage stochastic security-constrained unit commitment (SCUC). The problem is decomposed into a master problem (MP) and subproblems (SPs) corresponding to individual load scenarios. The primary objective is to mitigate computational expenses and memory consumption associated with Benders decomposition by generating tighter cuts and reducing the MP's dimensions. A regressor reads load profile scenarios and predicts objective function proxy values for the SPs, enabling the creation of tighter cuts for the MP. The numerical difference …
Performance Optimization Of Software-Defined Industrial Internet-Of-Things (Sd-Iiot), Jehad Ali, Celestine Iwendi, Gaoyang Shan, Hsiao Chun Wu, Mohammed J.F. Alenazi, Zaid Bin Faheem, Cresantus N. Biamba
Performance Optimization Of Software-Defined Industrial Internet-Of-Things (Sd-Iiot), Jehad Ali, Celestine Iwendi, Gaoyang Shan, Hsiao Chun Wu, Mohammed J.F. Alenazi, Zaid Bin Faheem, Cresantus N. Biamba
Faculty Publications
Software-Defined Networking (SDN) offers a centralized network management approach that can effectively address the complex and varied traffic demands characteristic of Industrial Internet of Things (IIoT) environments by decoupling the control plane from the data plane. The centralized control architecture of SDN necessitates the performance optimization of controllers to manage diverse traffic efficiently within IIoT applications. This paper explores the criteria for selecting controllers in SDN-enabled IIoT (SD-IIoT) environments, utilizing the Less Complex Analytic Network Process (LC-ANP) to establish their prioritization. A ranking system for SD-IIoT controllers is formulated using LC-ANP, and experimental validation of this method underscores its effectiveness …
Tensor Z -Transform, Shih Yu Chang, Hsiao Chun Wu
Tensor Z -Transform, Shih Yu Chang, Hsiao Chun Wu
Faculty Publications
The multi-input multioutput (MIMO) systems involving multirelational signals generated from distributed sources have been emerging as the most generalized model in practice. The existing work for characterizing such a MIMO system is to build a corresponding transform tensor, each of whose entries turns out to be the individual z-transform of a discrete-time impulse response sequence. However, when a MIMO system has a global feedback mechanism, which also involves multirelational signals, the aforementioned individual z-transforms of the overall transfer tensor are quite difficult to formulate. Therefore, a new mathematical framework to govern both feedforward and feedback MIMO systems is in crucial …
Fractal Surface Recovery And Self-Healing Contributed To Sustainable Superhydrophobicity: A Review, Yunfei Peng, Zhihang Ma, Xiao Wang, Junru Li, Xinlin Li, Chuanwei Zhang, Tian He, Guoqiang Li, Pengfei Zhang
Fractal Surface Recovery And Self-Healing Contributed To Sustainable Superhydrophobicity: A Review, Yunfei Peng, Zhihang Ma, Xiao Wang, Junru Li, Xinlin Li, Chuanwei Zhang, Tian He, Guoqiang Li, Pengfei Zhang
Faculty Publications
The concept of superhydrophobicity has been widely used after years of theoretical and experimental exploration. Researchers have obtained materials with excellent surface superhydrophobicity for numerous areas (e.g. textiles, paints, and coatings industries), through different design and synthesis methods using low surface energy components (LSECs) and micro/nanohierarchy composite structures. However, the durability of superhydrophobic material surfaces has gradually become a prominent obstacle to restricting applications. In this paper, advances in improving the durability of superhydrophobic surfaces in the past decade are reviewed, covering different schemes for recovering fractal surfaces based on the LSECs and micro/nanocomposite structures. It also presents a balanced …
Review Of Artificial Neural Networks For Wind Turbine Fatigue Prediction, Alshannaq, Aly Mousaad Aly
Review Of Artificial Neural Networks For Wind Turbine Fatigue Prediction, Alshannaq, Aly Mousaad Aly
Faculty Publications
Wind turbines have emerged as a prominent renewable energy source globally. Efficient monitoring and detection methods are crucial to enhance their operational effectiveness, particularly in identifying fatigue-related issues. This review focuses on leveraging artificial neural networks (ANNs) for wind turbine monitoring and fatigue detection, aiming to provide a valuable reference for researchers in this domain and related areas. Employing various ANN techniques, including General Regression Neural Network (GRNN), Support Vector Machine (SVM), Cuckoo Search Neural Network (CSNN), Backpropagation Neural Network (BPNN), Particle Swarm Optimization Artificial Neural Network (PSO-ANN), Convolutional Neural Network (CNN), and nonlinear autoregressive networks with exogenous inputs (NARX), …
Reliability Analysis Of End Cracking In Continuous Prestressed Concrete Girders, A. M. Okeil, S. Ghimire
Reliability Analysis Of End Cracking In Continuous Prestressed Concrete Girders, A. M. Okeil, S. Ghimire
Faculty Publications
Constructing bridges using precast prestressed concrete girders is extremely popular because of their durability and ease of construction. Establishing continuity between precast girders has its advantages and has been employed in many projects. It causes the development of positive restraint moments at intermediate supports as a result of long-term effects such as creep, shrinkage and thermal gradients. Prestressed concrete girder end cracking occurs if the positive restraint moments exceed the girder’s cracking moment. In this study, the probability of girder end cracking in continuous prestressed concrete bridges is assessed using structural reliability concepts. This study focuses on two bridge configurations …
Water Wave Optimization Algorithm-Based Dynamic Optimal Dispatch Considering A Day-Ahead Load Forecasting In A Microgrid, Duy C. Huynh, Loc D. Ho, Hieu M. Pham, Matthew W. Dunnigan, Corina Barbalata
Water Wave Optimization Algorithm-Based Dynamic Optimal Dispatch Considering A Day-Ahead Load Forecasting In A Microgrid, Duy C. Huynh, Loc D. Ho, Hieu M. Pham, Matthew W. Dunnigan, Corina Barbalata
Faculty Publications
A novel strategy is proposed to tackle an optimal dispatch of a microgrid in response to dynamic conditions, utilizing a water wave optimization (WWO) algorithm and considering a day-ahead load forecasting. Amongst meta-heuristic algorithms, the WWO algorithm stands out in terms of population size, parameter tuning, exploitation and exploration, convergence speed, as well as optimization mechanism. It leverages its ability to efficiently explore solution spaces and adapt to changing conditions. It is applied to the dynamic optimal dispatch of a microgrid with the uncertainty of load power considered and solved by day-ahead load forecasting. It dynamically adjusts the microgrid operation …
Machine Learning For Automated Sand Transport Monitoring In A Pipeline Using Distributed Acoustic Sensor Data, Harrison Gietz, Jyotsna Sharma, Mayank Tyagi
Machine Learning For Automated Sand Transport Monitoring In A Pipeline Using Distributed Acoustic Sensor Data, Harrison Gietz, Jyotsna Sharma, Mayank Tyagi
Faculty Publications
Uncontrolled sand production presents a substantial challenge to wellbore and pipeline integrity and efficiency of hydrocarbon production operations, often leading to equipment damage and compromised productivity. Traditional sand detection methods on the surface alert operators to sanding issues, but they are often a lagging indicator of downhole sanding events and do not provide precise identification of the problematic reservoir zones. Addressing this limitation, this study harnesses a combination of efficient signal processing and machine learning (ML) to analyze data from optical-fiber-based distributed acoustic sensors (DASs), thus serving as the first instance (to the authors' knowledge) of an automated and real-time …
Empowering Causal Machine Learning For Large-Scale Manufacturing Pipelines With Knowledge Graphs, Yuxin Zi, Cory Henson, Amit P. Sheth
Empowering Causal Machine Learning For Large-Scale Manufacturing Pipelines With Knowledge Graphs, Yuxin Zi, Cory Henson, Amit P. Sheth
Faculty Publications
Understanding causal relations within manufacturing pipelines is crucial for key manufacturing tasks such as anomaly detection and root cause analysis. However, existing causal machine learning (causal ML) approaches struggle to scale effectively to the vast number of variables present in manufacturing settings. We advocate for incorporating domain knowledge within the manufacturing pipelines, represented as knowledge graphs (KGs), for designing causal ML methods for large-scale manufacturing problems. Knowledge graphs can encode rich contextual information about the interactions and dependencies between different components and stages of the manufacturing pipeline, providing a structured framework to guide the discovery of causal relationships. By incorporating …
Neurosymbolic Ai Approach To Attribution In Large Language Models, Deepa Tilwani, Revathy Venkataramanan, Amit P. Sheth
Neurosymbolic Ai Approach To Attribution In Large Language Models, Deepa Tilwani, Revathy Venkataramanan, Amit P. Sheth
Faculty Publications
Attribution in large language models (LLMs) remains a significant challenge, particularly in ensuring the factual accuracy and reliability of the generated outputs. Current methods for citation or attribution, such as those employed by tools like Perplexity.ai and Bing Search-integrated LLMs, attempt to ground responses by providing real-time search results and citations. However, so far, these approaches suffer from issues such as hallucinations, biases, surface-level relevance matching, and the complexity of managing vast, unfiltered knowledge sources. While tools like Perplexity.ai dynamically integrate web-based information and citations, they often rely on inconsistent sources such as blog posts or unreliable sources, which limits …
Examining The Self-Regulation Abilities Of Students Enrolled In An Online Secondary Charter School, Karen T. Arnesen, Charles R. Graham, Heather Leary
Examining The Self-Regulation Abilities Of Students Enrolled In An Online Secondary Charter School, Karen T. Arnesen, Charles R. Graham, Heather Leary
Faculty Publications
This exploratory research addresses the state of student selfregulation (SR) in an online secondary school. Students are more likely to be successful, especially in online schools, when they are self-regulated. Understanding these students’ current SR abilities can facilitate targeted interventions. Data for this study was gathered from a student survey and interviews of students, parents, and teachers from an online secondary school. Quantitative and qualitative analysis revealed that many students perceived their SR as being adequate to strong and that students were more aware of the help-seeking and time management dimensions of SR than of the other dimensions. This awareness …
From Three-Pillars To Three-Environments: Shifting The Paradigm Of Sustainability In Civil And Construction Engineering, Xiaomei Wang, Andrew South, Clifton Farnsworth, Brett James Hashimoto
From Three-Pillars To Three-Environments: Shifting The Paradigm Of Sustainability In Civil And Construction Engineering, Xiaomei Wang, Andrew South, Clifton Farnsworth, Brett James Hashimoto
Faculty Publications
This research explores the usage of sustainability in literature and presents ‘three environments’ for addressing sustainability in the Civil and Construction Engineering (CCE) disciplines. Scholars have increasingly studied sustainability and sustainable development across CCE disciplines as the importance of sustainability awareness and action in society has increased. However, the vastness of its conceptual breadth and depth in CCE research is difficult to holistically evaluate. As a result, CCE researchers often focus on specific aspects of sustainability applied to discrete contexts, or address sustainability in broad aspirational terms and guiding motivations. This research utilized a rigorous analytical corpus linguistics approach for …
A Generalization Of The Graham-Pollak Tree Theorem To Even-Order Steiner Distance, Joshua Cooper, Gabrielle Tauscheck
A Generalization Of The Graham-Pollak Tree Theorem To Even-Order Steiner Distance, Joshua Cooper, Gabrielle Tauscheck
Faculty Publications
Graham and Pollak showed in 1971 that the determinant of a tree’s distance matrix depends only on its number of vertices, and, in particular, it is always nonzero. The Steiner distance of a collection of k vertices in a graph is the fewest number of edges in any connected subgraph containing those vertices; for k = 2, this reduces to the ordinary definition of graphical distance. Here we show that the hyperdeterminant of the kth order Steiner distance hypermatrix is always nonzero if k is even, extending their result beyond k = 2. Previously, the authors showed that the k-Steiner …
A Corpus-Based Comparison Of Keywords And Themes From The Book Of Mormon And The Bible, Brett James Hashimoto, Joshua Cowley
A Corpus-Based Comparison Of Keywords And Themes From The Book Of Mormon And The Bible, Brett James Hashimoto, Joshua Cowley
Faculty Publications
The Book of Mormon has been studied for its thematic, literary, and theological content using almost exclusively qualitative methods (e.g., Turley, 2019; Morrill, 2017). However, scholars have conducted little analysis comparing it to the Bible, even though those who view it as scripture consider it directly comparable in purpose. (e.g., The Book of Mormon, 2015; McConkie, 1985). The present study applies quantitative linguistic analysis to statistically derive the distinctive language from the two volumes of scripture and identifies the key themes and language from the two books. To accomplish this, corpora of The King James Version of the Bible (66 …
Petrography Study Of The Recent Sediments In Hareer’S Region At Basrah Governorate - Southern Iraq, K J. Al-Sudani, B N. Albadran, A S Y Al-Hadadi, M H. Al-Jaberi, Jennifer R. Pournelle
Petrography Study Of The Recent Sediments In Hareer’S Region At Basrah Governorate - Southern Iraq, K J. Al-Sudani, B N. Albadran, A S Y Al-Hadadi, M H. Al-Jaberi, Jennifer R. Pournelle
Faculty Publications
Two sites of Hareer’s region is located in the southern part of Iraq, specifically in the northern Basrah Governorate. The sites are at a depth of 5 meters. The results of heavy mineral analysis showed that there are fifteen types include; Opaque grain (Iron Oxide), Chlorite, Muscovite mica, Biotite, Orthopyroxene, Clinopyroxene, Amphibole (Hornblende and Actinolite), Epidote, Garnet, Kyanite, Staurolite, Zircon, and Tourmaline. On the other hand the light minerals and the results of the mineral analyses revealed that they were primarily composed of rock fragments, with a variety of quartz minerals, feldspar minerals, evaporate minerals, clay-coated grains, and trace amounts …
Multi-Omics Integrative Analysis For Incomplete Data Using Weighted P-Value Adjustment Approaches, Wenda Zhang, Zichen Ma, Yen Yi Ho, Shuyi Yang, Joshua Habiger, Hsin Hsiung Huang, Yufei Huang
Multi-Omics Integrative Analysis For Incomplete Data Using Weighted P-Value Adjustment Approaches, Wenda Zhang, Zichen Ma, Yen Yi Ho, Shuyi Yang, Joshua Habiger, Hsin Hsiung Huang, Yufei Huang
Faculty Publications
The advancements in high-throughput technologies provide exciting opportunities to obtain multi-omics data from the same individuals in a biomedical study, and joint analyses of data from multiple sources offer many benefits. However, the occurrence of missing values is an inevitable issue in multi-omics data because measurements such as mRNA gene expression levels often require invasive tissue sampling from patients. Common approaches for addressing missing measurements include analyses based on observations with complete data or multiple imputation methods. In this paper, we propose a novel integrative multi-omics analytical framework based on p-value weight adjustment in order to incorporate observations with incomplete …
Use Of Machine Learning Approaches To Predict Transition Of Retention In Care Among People Living With Hiv In South Carolina: A Real-World Data Study, Ruilie Cai, Xueying Yang Ph.D., Yunqing Ma, Hao H. Zhang, Bankole Olatosi Ph.D., Sharon Weissman, Xiaoming Li Ph.D., Jiajia Zhang Ph.D.
Use Of Machine Learning Approaches To Predict Transition Of Retention In Care Among People Living With Hiv In South Carolina: A Real-World Data Study, Ruilie Cai, Xueying Yang Ph.D., Yunqing Ma, Hao H. Zhang, Bankole Olatosi Ph.D., Sharon Weissman, Xiaoming Li Ph.D., Jiajia Zhang Ph.D.
Faculty Publications
Maintaining retention in care (RIC) for people living with HIV (PLWH) helps achieve viral suppression and reduce onward transmission. This study aims to identify the best machine learning model that predicts the RIC transition over time. Extracting from the enhanced HIV/AIDS reporting system, this study included 9765 PLWH from 2005 to 2020 in South Carolina. Transition of RIC was defined as the change of RIC status in each two–year time window. We applied seven classifiers, such as Random Forest, Support Vector Machine, eXtreme Gradient Boosting and Long–short–term memory, for each lagged response to predict the subsequent year's RIC transition. Classification …
Human Mobility And The Infectious Disease Transmission: A Systematic Review, M. Naser Lessani, Zhenlong Li, Fengrui Jing, Shan Qiao Ph.D., Jiajia Zhang Ph.D., Bankole Olatosi Ph.D., Xiaoming Li Ph.D.
Human Mobility And The Infectious Disease Transmission: A Systematic Review, M. Naser Lessani, Zhenlong Li, Fengrui Jing, Shan Qiao Ph.D., Jiajia Zhang Ph.D., Bankole Olatosi Ph.D., Xiaoming Li Ph.D.
Faculty Publications
Recent decades have witnessed several infectious disease outbreaks, including the coronavirus disease (COVID-19) pandemic, which had catastrophic impacts on societies around the globe. At the same time, the twenty-first century has experienced an unprecedented era of technological development and demographic changes: exploding population growth, increased airline flights, and increased rural-to-urban migration, with an estimated 281 million international migrants worldwide in 2020, despite COVID-19 movement restrictions. In this review, we synthesized 195 research articles that examined the association between human movement and infectious disease outbreaks to understand the extent to which human mobility has increased the risk of infectious disease outbreaks. …
Unattended In-Home Delivery Under Varying Scenarios Of Technology-Enabled Anonymity, James C. Brau, Hugo A. Decampos
Unattended In-Home Delivery Under Varying Scenarios Of Technology-Enabled Anonymity, James C. Brau, Hugo A. Decampos
Faculty Publications
Whereas many companies have explored attended in-home delivery as one solution to challenges associated with last mile delivery, few have explored unattended in-home delivery. This paper examines consumer willingness to allow unattended in-home delivery under various scenarios of anonymity. Specifically, we study how blockchain-enabled anonymity of sellers, delivery companies, and consumers can influence consumer willingness to allow unattended in-home delivery of a nutritional product in this last mile service triad. Hypotheses build on agency theory and the potential for information asymmetry and opportunism. The analyses are based on data from 784 responses to an online survey of end-consumers who were …
Evidence Of A Thick Heliopause Boundary Layer Resulting From Active Magnetic Reconnection With The Interstellar Medium, Drew L. Turner, Adam Michael, Elena Provornikova, Marc Kornbleuth, Merav Opher, Stefan Eriksson, Benoit Lavraud, Parisa Mostafavi, Matthew E. Hill, Pontus Brandt, Ian J. Cohen, Joseph Westlake, John D. Richardson, Nathan A. Schwadron, David J. Mccomas
Evidence Of A Thick Heliopause Boundary Layer Resulting From Active Magnetic Reconnection With The Interstellar Medium, Drew L. Turner, Adam Michael, Elena Provornikova, Marc Kornbleuth, Merav Opher, Stefan Eriksson, Benoit Lavraud, Parisa Mostafavi, Matthew E. Hill, Pontus Brandt, Ian J. Cohen, Joseph Westlake, John D. Richardson, Nathan A. Schwadron, David J. Mccomas
Faculty Publications
Voyager 1 and 2 data from the vicinity of the heliopause and very local interstellar medium are reexamined to better understand the confounding lack of rotation in the magnetic field (B-field) across the heliopause observed by both Voyagers, despite their very large spatial separations (>100 au). Using three estimates for the orientation of the B-field in the pristine interstellar medium and four models of the heliosphere, we calculate draped interstellar B-field orientations along the model heliopauses and compare those estimates to the Voyager observations. At both Voyagers, expected draped B-fields are inconsistent with the observed B-field orientations after the boundary …
Naming, Expressive Interests, And The Law: The Implications Of Governmental Form Design, Laura A. Heymann
Naming, Expressive Interests, And The Law: The Implications Of Governmental Form Design, Laura A. Heymann
Faculty Publications
The design of governmental forms can result in restrictions on the ability of individuals to submit truthful personal naming choices, such as when a form field has character limitations or does not accept diacritics. In some instances, form design operationalizes government policy. But in other instances, form design can itself create law by limiting the ability to submit accurate names on the front end. Awareness of the legal implications of form design is critically important. A more inclusive and accurate approach toward the legal documentation of naming choices means that forms should adapt to people, not the other way around.
Enhancing The Textbook’S Cultural Content Within The University Museum: Students’ Perceptions Of Two Activities, Nausica Marcos Miguel, Megan Hancock
Enhancing The Textbook’S Cultural Content Within The University Museum: Students’ Perceptions Of Two Activities, Nausica Marcos Miguel, Megan Hancock
Faculty Publications
No abstract provided.
Revised Geologic Map And Structural Interpretation Of The Mineral King Pendant, Southern Sierra Nevada, California (Usa): Evidence For Kilometer-Scale Folding And Structural Imbrication Of A Permian To Mid-Cretaceous Volcanosedimentary Assemblage, David C. Greene, Jade Star Lackey, Erik W. Klemetti
Revised Geologic Map And Structural Interpretation Of The Mineral King Pendant, Southern Sierra Nevada, California (Usa): Evidence For Kilometer-Scale Folding And Structural Imbrication Of A Permian To Mid-Cretaceous Volcanosedimentary Assemblage, David C. Greene, Jade Star Lackey, Erik W. Klemetti
Faculty Publications
No abstract provided.
Alterity As A Mirror Of Identity: Primo Levi’S Self Representation In Other People’S Trades, Ilona Klein
Alterity As A Mirror Of Identity: Primo Levi’S Self Representation In Other People’S Trades, Ilona Klein
Faculty Publications
Primo Levi reveals much about himself in the fifty-one short essays of L’altrui mestiere (Other People’s Trades). This study analyzes L’altrui mestiere as the awareness of the “self” through the observation of “otherness” — other people, but also other living beings which are not human (mammalian animals and insects), others as minerals, and others as hypotheses, theories, writings, microcosmic or macrocosmic conceptions that Levi uses to weave a discourse of “alterity” as a mirror of “identity.” L’altrui mestiere’s narrative pattern revolves around contrasts and comparisons between the familiar and the unfamiliar, the canny and the uncanny, the …
The Naci Way: Connecting Native Groups And Teachers Through Culturally Responsive Instructional Design, Stephanie West, Heather Francis, Cally Flox, Brenda Beyal, Emily Soderborg, Jason K. Mcdonald
The Naci Way: Connecting Native Groups And Teachers Through Culturally Responsive Instructional Design, Stephanie West, Heather Francis, Cally Flox, Brenda Beyal, Emily Soderborg, Jason K. Mcdonald
Faculty Publications
In 2018, the BYU ARTS Partnership Native American Curriculum Initiative (NACI) was developed in response to teacher questions regarding the teaching of Native topics. Despite increased movements towards reconciliation, Native groups continue to be marginalized in Westernized educational settings. Additionally, teachers lack clear guidelines regarding the respectful teaching of Native topics. Describing the challenges we, the NACI team members, faced in our six-year journey partnering with Native groups in Utah, we outline key instructional design decisions we made and identify the culturally responsive principles that guided those decisions. We also advocate for the application of culturally responsive principles and practices …
Gnss Software Defined Radio: History, Current Developments, And Standardization Efforts, Thomas Pany, Dennis Akos, Javier Arribas, M. Zahidul H. Bhuiyan, Pau Closas, Fabio Dovis, Ignacio Fernandez-Hernandez, Carles Fernandez-Prades, Sanjeev Gunawardena, Todd Humphreys, Zaher M. Kassas, Jose A. Lopez Salcedo, Mario Nicola, Mario L. Psiaki, Alexander Rugamer, Yong-Jin Song, Jong-Hoon Won
Gnss Software Defined Radio: History, Current Developments, And Standardization Efforts, Thomas Pany, Dennis Akos, Javier Arribas, M. Zahidul H. Bhuiyan, Pau Closas, Fabio Dovis, Ignacio Fernandez-Hernandez, Carles Fernandez-Prades, Sanjeev Gunawardena, Todd Humphreys, Zaher M. Kassas, Jose A. Lopez Salcedo, Mario Nicola, Mario L. Psiaki, Alexander Rugamer, Yong-Jin Song, Jong-Hoon Won
Faculty Publications
Taking the work conducted by the global navigation satellite system (GNSS) software-defined radio (SDR) working group during the last decade as a seed, this contribution summarizes, for the first time, the history of GNSS SDR development. This report highlights selected SDR implementations and achievements that are available to the public or that influenced the general development of SDR. Aspects related to the standardization process of intermediate-frequency sample data and metadata are discussed, and an update of the Institute of Navigation SDR Standard is proposed. This work focuses on GNSS SDR implementations in general-purpose processors and leaves aside developments conducted on …
An Analysis Of Precision: Occlusion And Perspective Geometry’S Role In 6d Pose Estimation, Jeffrey Choate, Derek Worth, Scott Nykl, Clark N. Taylor, Brett J. Borghetti, Christine M. Schubert Kabban
An Analysis Of Precision: Occlusion And Perspective Geometry’S Role In 6d Pose Estimation, Jeffrey Choate, Derek Worth, Scott Nykl, Clark N. Taylor, Brett J. Borghetti, Christine M. Schubert Kabban
Faculty Publications
Achieving precise 6 degrees of freedom (6D) pose estimation of rigid objects from color images is a critical challenge with wide-ranging applications in robotics and close-contact aircraft operations. This study investigates key techniques in the application of YOLOv5 object detection convolutional neural network (CNN) for 6D pose localization of aircraft using only color imagery. Traditional object detection labeling methods suffer from inaccuracies due to perspective geometry and being limited to visible key points. This research demonstrates that with precise labeling, a CNN can predict object features with near-pixel accuracy, effectively learning the distinct appearance of the object due to perspective …
Garbage In ≠ Garbage Out: Exploring Gan Resilience To Image Training Set Degradations, Nicholas Crino, Bruce A. Cox, Nathan B. Gaw
Garbage In ≠ Garbage Out: Exploring Gan Resilience To Image Training Set Degradations, Nicholas Crino, Bruce A. Cox, Nathan B. Gaw
Faculty Publications
Generative Adversarial Networks (GANs) have received immense attention in recent years due to their ability to capture complex, high-dimensional data distributions without the need for extensive labeling. Since their conception in 2014, a wide array of GAN variants have been proposed featuring alternative architectures, optimizers, and loss functions with the goal of improving performance and training stability. This manuscript focuses on quantifying the resilience of a GAN architecture to specific modes of image degradation. We conduct systematic experimentation to empirically determine the effects of 10 fundamental image degradation modes, applied to the training image dataset, on the Fréchet inception distance …