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Articles 290521 - 290550 of 1826523
Full-Text Articles in Entire DC Network
Outdoor Operations Of Multiple Quadrotors In Windy Environment, Deepan Lobo
Outdoor Operations Of Multiple Quadrotors In Windy Environment, Deepan Lobo
Dissertations
Coordinated multiple small unmanned aerial vehicles (sUAVs) offer several advantages over a single sUAV platform. These advantages include improved task efficiency, reduced task completion time, improved fault tolerance, and higher task flexibility. However, their deployment in an outdoor environment is challenging due to the presence of wind gusts. The coordinated motion of a multi-sUAV system in the presence of wind disturbances is a challenging problem when considering collision avoidance (safety), scalability, and communication connectivity. Performing wind-agnostic motion planning for sUAVs may produce a sizeable cross-track error if the wind on the planned route leads to actuator saturation. In a multi-sUAV …
Periodic Fast Multipole Method, Ruqi Pei
Periodic Fast Multipole Method, Ruqi Pei
Dissertations
Applications in electrostatics, magnetostatics, fluid mechanics, and elasticity often involve sources contained in a unit cell C, centered at the origin, on which periodic boundary condition are imposed. The free-space Green’s functions for many classical partial differential equations (PDE), such as the modified Helmholtz equation, are well-known. Among the existing schemes for imposing the periodicity, three common approaches are: direct discretization of the governing PDE including boundary conditions to yield a large sparse linear system of equations, spectral methods which solve the governing PDE using Fourier analysis, and the method of images based on tiling the plane with copies of …
Nystrom Methods For High-Order Cq Solutions Of The Wave Equation In Two Dimensions, Erli Wind-Andersen
Nystrom Methods For High-Order Cq Solutions Of The Wave Equation In Two Dimensions, Erli Wind-Andersen
Dissertations
An investigation of high order Convolution Quadratures (CQ) methods for the solution of the wave equation in unbounded domains in two dimensions is presented. These rely on Nystrom discretizations for the solution of the ensemble of associated Laplace domain modified Helmholtz problems. Two classes of CQ discretizations are considered: one based on linear multistep methods and the other based on Runge-Kutta methods. Both are used in conjunction with Nystrom discretizations based on Alpert and QBX quadratures of Boundary Integral Equation (BIE) formulations of the Laplace domain Helmholtz problems with complex wavenumbers. CQ in conjunction with BIE is an excellent candidate …
Atmospheric Mercury Chemistry: Detection, Kinetics, And Mechanism, Na Mao
Atmospheric Mercury Chemistry: Detection, Kinetics, And Mechanism, Na Mao
Dissertations
The presence of mercury in the environment is of global concern due to its toxicity. The atmosphere is an important transient reservoir for mercury released by human activities and natural sources. The knowledge of atmospheric mercury chemistry is critical for understanding the global biogeochemical cycle. In the atmosphere, mercury primarily exists in three forms: gaseous elemental mercury (GEM), gaseous oxidized mercury (GOM), and particulate-bound mercury (PBM). Over the last decade, the existing knowledge of mercury cycle has dramatically changed: (1) There has been increasing evidence that current detection methods do not accurately quantify gaseous oxidized mercury and a technique which …
Summoning Laplace’S Demon: The Erosion Of Meaningful Voter Choice In An Era Of Algorithms?, Stephen Bork
Summoning Laplace’S Demon: The Erosion Of Meaningful Voter Choice In An Era Of Algorithms?, Stephen Bork
Compass: An Undergraduate Journal of American Political Ideas
Precise individual microtargeting threatens to remake the political landscape as thoroughly as it has remade marketing. This paper explores the observed uses to date of political microtargeting as well as the many difficulties, some inherent to politics, of measuring its effects. Considering the philosophical difficulties of predictively removing human choice, it then assesses the observed risks of and some potential remedies to the current trajectory and finds that free electoral choice is not doomed to be written out of the system.
Episode 26: Best Moments Of Seasons 1 And 2, University Of Central Florida
Episode 26: Best Moments Of Seasons 1 And 2, University Of Central Florida
Knights Do That Podcast Transcripts
In episode 25 — the 11th episode of season two of the UCF podcast, Knights Do That — Alex Cumming looks back on the first two seasons as his time as host comes to and end.
Nusax: Multilingual Parallel Sentiment Dataset For 10 Indonesian Local Languages, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Rahmad Mahendra, Fajri Koto, Ade Romadhony, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Pascale Fung, Timothy Baldwin, Jey Han Lau
Nusax: Multilingual Parallel Sentiment Dataset For 10 Indonesian Local Languages, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Rahmad Mahendra, Fajri Koto, Ade Romadhony, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Pascale Fung, Timothy Baldwin, Jey Han Lau
Natural Language Processing Faculty Publications
Natural language processing (NLP) has a significant impact on society via technologies such as machine translation and search engines. Despite its success, NLP technology is only widely available for high-resource languages such as English and Chinese, while it remains inaccessible to many languages due to the unavailability of data resources and benchmarks. In this work, we focus on developing resources for languages in Indonesia. Despite being the second most linguistically diverse country, most languages in Indonesia are categorized as endangered and some are even extinct. We develop the first-ever parallel resource for 10 low-resource languages in Indonesia. Our resource includes …
Towards A Cross-Layer Coupled Design Framework For Big Data Workflows, Qianwen Ye
Towards A Cross-Layer Coupled Design Framework For Big Data Workflows, Qianwen Ye
Dissertations
The processing and analysis of big data increasingly rely on workflow technologies for knowledge discovery and scientific innovation. The execution of such workflows goes far beyond the capability and capacity of single computers and is now commonly supported on reliable and scalable data storage and analysis platforms in distributed environments, such as the Hadoop ecosystem. Workflow performance largely depends on how big data systems are configured and used. For example, the makespan of a big data workflow is affected by multiple layers of big data systems, including the parallel computing engine it runs on, the resource manager that orchestrates various …
Repeated Low-Level Blast Induces Chronic Neuroinflammation And Neurobehavioral Changes In Rat Models, Arun Reddy Ravula
Repeated Low-Level Blast Induces Chronic Neuroinflammation And Neurobehavioral Changes In Rat Models, Arun Reddy Ravula
Dissertations
Blast-induced neurotrauma (bTBI) is a signature medical concern for military personnel when they are exposed to explosions in active combat zones. However, soldiers as well as law enforcement personnel are also repeatedly exposed to low-level blasts during training sessions with heavy weaponries as part of combat readiness. Service personnel who sustain brain injuries from repeated low-level blasts (rLLBs) do not display overt pathological symptoms immediately but rather develop cognitive impairments, attention deficits, anxiety, and sleep disturbances over time. An improved rat model of rLLB was developed in this thesis by applying controlled low-level blast pressures (10 psi) repeated five times …
Graph Enabled Cross-Domain Knowledge Transfer, Shibo Yao
Graph Enabled Cross-Domain Knowledge Transfer, Shibo Yao
Dissertations
The world has never been more connected, led by the information technology revolution in the past decades that has fundamentally changed the way people interact with each other using social networks. Consequently, enormous human activity data are collected from the business world and machine learning techniques are widely adopted to aid our decision processes. Despite of the success of machine learning in various application scenarios, there are still many questions that need to be well answered, such as optimizing machine learning outcomes when desired knowledge cannot be extracted from the available data. This naturally drives us to ponder if one …
Reactive Iron Mineral Coatings In Redox Transition Zones Of A Site With Historical Contamination: Abiotic Attenuation, Xin Yin
Dissertations
Reactive iron mineral coatings are found throughout reduction-oxidation (redox) transition zones and play a significant role in contaminant transformation processes. In this study, an 18.3-meter core is collected, subsampled, and preserved under anoxic conditions to maintain its original redox state. Screening analyses are conducted at sampling increments of 5.08 cm in depth for the following: elemental concentrations with X-ray fluorescence (XRF), sediment pH, sediment oxidation-reduction potential (ORP), total volatile organic carbon (TVOC) in the sample headspace, and abundant bacteria (16S rRNA sequencing). Using the Fe and S gradients correlated with microbial data, five RTZs are delineated. To characterize iron mineral …
Development Of Novel Mass Spectrometric Methods For Reaction Screening, Oligosaccharide Detection, And Nitrosamine Quantitation, Qi Wang
Dissertations
Benefitting from its high detection sensitivity and specificity, mass spectrometry (MS) has become a powerful technique in academia and industry. The aim of this dissertation study is to develop new mass spectrometric methods for organic reaction screening, detection of oligosaccharide/glycan in complex matrices, and nitrosamine absolute quantitation.
First, an electrochemistry/mass spectrometry (EC/MS) platform is built to generate an N-cyclopropylaniline radical cation electrochemically and to monitor its reactivity toward alkenes, which leads to the discovery of a new redox neutral reaction of intermolecular [3 + 2] annulation of N-cyclopropylanilines and alkenes. Net redox neutral electrosynthesis is quite rare in synthetic organic …
Adversarially Robust And Accurate Machine Learning For Image Classification, Yanan Yang
Adversarially Robust And Accurate Machine Learning For Image Classification, Yanan Yang
Dissertations
Machine learning techniques in medical imaging systems are accurate, but minor perturbations in the data known as adversarial attacks can fool them. These attacks make the systems vulnerable to fraud and deception, and thus a significant challenge has been posed in practice. This dissertation presents the gradient-free trained sign activation networks to detect and deter adversarial attacks on medical imaging AI (Artificial Intelligence) systems. Experimental results show a higher distortion value is required to attack the proposed model than other state-of-the-art models on brain MRI (Magnetic resonance imaging), Chest X-ray, and histopathology image datasets. Moreover, the proposed models outperform the …
Private Information Retrieval And Function Computation For Noncolluding Coded Databases, Sarah A. Obead
Private Information Retrieval And Function Computation For Noncolluding Coded Databases, Sarah A. Obead
Dissertations
The rapid development of information and communication technologies has motivated many data-centric paradigms such as big data and cloud computing. The resulting paradigmatic shift to cloud/network-centric applications and the accessibility of information over public networking platforms has brought information privacy to the focal point of current research challenges. Motivated by the emerging privacy concerns, the problem of private information retrieval (PIR), a standard problem of information privacy that originated in theoretical computer science, has recently attracted much attention in the information theory and coding communities. The goal of PIR is to allow a user to download a message from a …
The Impact Of Material And Environmental Properties On The Ettringite - Metaettringite Thermochemical Reaction, Aaron Strand
The Impact Of Material And Environmental Properties On The Ettringite - Metaettringite Thermochemical Reaction, Aaron Strand
Dissertations
The use of energy is an essential need for people, with demand constantly increasing due to an increasing population and an increase in living and comfort standards. Since 1965, world energy consumption has quadrupled. During peak utilization, the strain on the grid infrastructure can be immense. As energy demand fluctuates during different times of the day and year, the energy production needs to scale accordingly This creates inefficiencies within the system such as over building generation capacity or losses from start up or ramping up production. This can be alleviated through load leveling where excess energy generated during low demand …
Academic Senate - Agenda, 5/31/2022, Academic Senate
Academic Senate - Agenda, 5/31/2022, Academic Senate
Academic Senate Agendas
No abstract provided.
Association Of Christians In The Mathematical Sciences Proceedings 2022, Association Of Christians In The Mathematical Sciences
Association Of Christians In The Mathematical Sciences Proceedings 2022, Association Of Christians In The Mathematical Sciences
ACMS Conference Proceedings 2022
The conference proceedings of the Association of Christians in the Mathematical Sciences biannual conference, May 31-June 4, 2022 at Azusa Pacific University.
Conference Schedule (2022), Association Of Christians In The Mathematical Sciences
Conference Schedule (2022), Association Of Christians In The Mathematical Sciences
ACMS Conference Proceedings 2022
No abstract provided.
Paper Abstracts (2022), Association Of Christians In The Mathematical Sciences
Paper Abstracts (2022), Association Of Christians In The Mathematical Sciences
ACMS Conference Proceedings 2022
No abstract provided.
2022-05-31_Michiganoverview_Covidschooloutbreak, Michigan Department Of Health & Human Services
2022-05-31_Michiganoverview_Covidschooloutbreak, Michigan Department Of Health & Human Services
Michigan COVID-19 Outbreak Reports
The School Outbreak Data page was obtained from Michigan's COVID-19 data page: https://www.michigan.gov/coronavirus/stats/school-outbreak.
This report is created by the Michigan Department of Health & Human Services from data self-reported by local health departments. Data is updated every week.
K-12 School-Related Outbreak Reporting: In accordance with the Council of State and Territorial Epidemiologists' outbreak definition, a K-12 school-associated COVID-19 case (confirmed or probable) is defined as a student, teacher, or staff member physically present in the school setting or participated in a school sanctioned extracurricular activity within 14 days prior to illness onset (or a positive test result) OR …
Bodipy-Based Light-Responsive Materials, Zhaoxiong Wan
Bodipy-Based Light-Responsive Materials, Zhaoxiong Wan
Dissertations
The energy required for life on our planet is provided by light. In science, light is an important and powerful tool for measuring and modifying substances. For example, under the effect of illumination, light-responsive materials can change their physical and chemical properties. Photochemistry is a branch of research to study the effects of light irradiation on chemical structures and reactions. Some photochemical changes could lead to chemical bond dissociation (such as in photosynthesis) and structure isomerization (such as in the retina). Photochemistry has a strong relationship with human lives and it is essential in many ways. Among photophysics, fluorescence emission …
Type I Error Rate Controlling Procedures For Multiple Hypotheses Testing, Beibei Li
Type I Error Rate Controlling Procedures For Multiple Hypotheses Testing, Beibei Li
Dissertations
This dissertation addresses several different but related topics arising in the field of multiple testing, including weighted procedures and graphical approaches for controlling the familywise error rate (FWER), and stepwise procedures with control of the false discovery rate (FDR) for discrete data. It consists of three major parts.
The first part investigates weighted procedures for controlling the FWER. In many statistical applications, hypotheses may be differentially weighted according to their different importance. Many weighted multiple testing procedures (wMTPs) have been developed for controlling the FWER. Among these procedures, two weighted Holm procedures are commonly used in practice: one is based …
Table Of Contents (2022), Association Of Christians In The Mathematical Sciences
Table Of Contents (2022), Association Of Christians In The Mathematical Sciences
ACMS Conference Proceedings 2022
No abstract provided.
Functions And Vectors For Data Science, Wang-Hung (Simon) Tse
Functions And Vectors For Data Science, Wang-Hung (Simon) Tse
ACMS Conference Proceedings 2022
The past decade has witnessed “learning from data” catapulting into great public attention. In such a context, I describe an undergraduate course, Mathematics of Data Science, that immediately follows courses for Linear Algebra and Multivariable Calculus, aiming to fill the educational need of a new generation of math majors and minors. I also discuss how the organization of the math content led to synergy with a few other upper-level courses and how the teaching links to new modes of scientific reasoning and Christian apologetics.
Exploiting Our Limits: Finitude In Information Security, Devin J. Pohly
Exploiting Our Limits: Finitude In Information Security, Devin J. Pohly
ACMS Conference Proceedings 2022
Human finitude—the set of limitations we have as created beings—is a surprisingly positive aspect of our existence. It is easy to interpret our limits in a negative light, but viewing them instead as a gift from God can reveal blessings that might otherwise be taken for granted. In this paper, we examine the field of information security, discovering that many of its fundamental principles and techniques are designed to account for our created finitude and exploit it toward productive ends. Through this lens, we can appreciate more fully the God-given gift of creaturely finitude.
Formation Of Gaseous Peptide Ions From Electrospray Droplets: Competition Between The Ion Evaporation Mechanism And Charged Residue Mechanism., Elnaz Aliyari, Lars Konermann
Formation Of Gaseous Peptide Ions From Electrospray Droplets: Competition Between The Ion Evaporation Mechanism And Charged Residue Mechanism., Elnaz Aliyari, Lars Konermann
Chemistry Publications
The transfer of peptide ions from solution into the gas phase by electrospray ionization (ESI) is an integral component of mass spectrometry (MS)-based proteomics. The mechanisms whereby gaseous peptide ions are released from charged ESI nanodroplets remain unclear. This is in contrast to intact protein ESI, which has been the focus of detailed investigations using molecular dynamics (MD) simulations and other methods. Under acidic liquid chromatography/MS conditions, many peptides carry a solution charge of 3+ or 2+. Because of this pre-existing charge and their relatively small size, prevailing views suggest that peptides follow the ion evaporation mechanism (IEM). The IEM …
A Pilot Evaluation Of Katatagan Online: Benefits And Challenges Of An Online Resilience Program In The Philippines During The Covid-19 Pandemic, Maria Regina M. Hechanova, Arsenio S. Alianan Jr., Angelique P. Villasanta, Camille Therese C. Yusay, Avegale C. Acosta, Katrine S. Bunagan, Jason O. Manaois, Gayle A. Gomez
A Pilot Evaluation Of Katatagan Online: Benefits And Challenges Of An Online Resilience Program In The Philippines During The Covid-19 Pandemic, Maria Regina M. Hechanova, Arsenio S. Alianan Jr., Angelique P. Villasanta, Camille Therese C. Yusay, Avegale C. Acosta, Katrine S. Bunagan, Jason O. Manaois, Gayle A. Gomez
Social Transformations Journal of the Global South
This study examines the feasibility of a virtual peer support resilience program for Filipinos during the COVID-19 pandemic. This study used a mixed-method design with pre- and post-test surveys measuring adaptive coping, psychological well-being, depression, anxiety, and stress. Interviews and open-ended questions in post-program surveys also elicited reactions, learnings, and suggestions of participants. Seventy-one (71) participants, a majority of whom were female (82%), with ages ranging from 20–65 participated in the program. Paired sample t-tests revealed significant increases in adaptive coping, non-reactivity, resilience, and well-being, and significant decreases in depression and stress symptoms. Participants found the program useful, accessible, and …
Instances Of Queerness In The Philippines: An Exploration Of The Production Of Gender In The Online And Offline Spaces Of Queer Filipinos, Mark Remington Tan
Instances Of Queerness In The Philippines: An Exploration Of The Production Of Gender In The Online And Offline Spaces Of Queer Filipinos, Mark Remington Tan
Social Transformations Journal of the Global South
Society is generally heteronormative as some identities are held in higher regard than certain identities that can be described as queer. In spaces where heteronormativity prevails, there is a normalized repression of persons and actions that are perceived as queer. Heteronormativity is dependent upon an understanding of gender as real. However, as queer theorists posit, gender is a production. This production has historically taken place in offline space, but with the emergence of new technologies, it has extended into the realm of online space. This study explores how gender has been produced between online and offline spaces. It utilizes an …
Mapping Social Network Influences Of Recovering Filipino Drug Users In Community-Based Drug Rehabilitation, Jason O. Manaois, Ma. Regina M. Hechanova, Maria Regina Justina E. Estuar
Mapping Social Network Influences Of Recovering Filipino Drug Users In Community-Based Drug Rehabilitation, Jason O. Manaois, Ma. Regina M. Hechanova, Maria Regina Justina E. Estuar
Social Transformations Journal of the Global South
This study examined structural changes in social network influences of recovering drug users. Anchored on the theory of social influences and social network, recovering drug users’ social network interactions were mapped out using social network analysis (SNA). This study utilized exploratory sequential mixed method design. A focused group discussion (n = 12) using the name generator approach was conducted to develop a survey of the recovering drug users’ social network influences. This survey was administered pre- and post-community–based drug rehabilitation (n = 52). Results of the SNA show that members of the drug users’ immediate families, their friends, and their …
Recruitment, Retention, And Future Direction For A Heart Health Education And Risk Reduction Intervention Led By Community Health Workers In An African American Majority City, Julie Gleason-Comstock, Cindy Bolden Calhoun, Ghadir Mozeb, Cardell Louis, Alex B. Hill, Barbara J. Locke, Victor Harrell, Sadia Yasmin, Liying Zhang, John M. Flack, Nancy T. Artinian, Jinping Xu
Recruitment, Retention, And Future Direction For A Heart Health Education And Risk Reduction Intervention Led By Community Health Workers In An African American Majority City, Julie Gleason-Comstock, Cindy Bolden Calhoun, Ghadir Mozeb, Cardell Louis, Alex B. Hill, Barbara J. Locke, Victor Harrell, Sadia Yasmin, Liying Zhang, John M. Flack, Nancy T. Artinian, Jinping Xu
Urban Studies and Planning Faculty Research Publications
Heart disease is a leading cause of death for African Americans. A community-academic partnership cross-trained community health workers to engage African American adults in a 6-month heart health education and risk reduction intervention. We conducted a one-group feasibility study using a one group (pre-posttest) design. A total of 100 adults were recruited from 27 zip codes in an African American majority city through community-based organizations (46%), churches (36%), and home visits (12%). Ninety-six percent were African American; 55% were female, 39% were male, and 6% were transgender. Their mean age was 44.6 years (SD=15.9). Ninety-two percent had health insurance. Seventy-six …