Digital Commons Network^™

Enabling Efficient Spatial Keyword Queries On Encrypted Data With Strong Security Guarantees, Xiangyu Wang, Jianfeng Ma, Feng Li, Ximeng Liu, Yinbin Miao, Robert H. Deng

Research Collection School Of Computing and Information Systems

Structured Encryption (STE), which allows a server to provide secure search services on encrypted data structures, has been widely investigated in recent years. To meet expressive search requirements in practical applications, a large number of STE constructions have been proposed either on textual keywords or spatial data. However, STE on spatio-textual data, which are widely used in location-based services, has not been fully investigated. In this paper, we formally define the notion of Spatial Keyword Structured Encryption (SKSE) and propose several concrete SKSE constructions with various efficiencysecurity trade-offs. Firstly, we propose a basic construction with linear search complexity, which only …

Preparation Of Green Biosorbent Using Rice Hull To Preconcentrate, Remove And Recover Heavy Metal And Other Metal Elements From Water, Yongbo Dan, Lei Xu, Zhimin Qiang, Huiyu Dong, Honglan Shi

Chemistry Faculty Research & Creative Works

Sodium hydroxide treated rice hulls were investigated to preconcentrate, remove, and recover metal ions including Be²⁺, Al³⁺, Cr³⁺, CO²⁺, Ni²⁺, Cu²⁺, Zn²⁺, Sr²⁺, Ag⁺, Cd²⁺, Ba²⁺, and Pb²⁺ in both batch mode and column mode. Sodium hydroxide treatment significantly improved the removal efficiency for all metal ions of interest compared to the untreated rice hull. The removal kinetics were extremely fast for Co, Ni, Cu, Zn, Sr, Cd, and Ba, which made the treated rice hull a …

Schizophrenia Classification Using Resting State Eeg Functional Connectivity: Source Level Outperforms Sensor Level, Sima Azizi, Daniel B. Hier, Donald C. Wunsch

Chemistry Faculty Research & Creative Works

Disrupted Functional and Structural Connectivity Measures Have Been Used to Distinguish Schizophrenia Patients from Healthy Controls. Classification Methods based on Functional Connectivity Derived from EEG Signals Are Limited by the Volume Conduction Problem. Recorded Time Series at Scalp Electrodes Capture a Mixture of Common Sources Signals, Resulting in Spurious Connections. We Have Transformed Sensor Level Resting State EEG Times Series to Source Level EEG Signals Utilizing a Source Reconstruction Method. Functional Connectivity Networks Were Calculated by Computing Phase Lag Values between Brain Regions at Both the Sensor and Source Level. Brain Complex Network Analysis Was Used to Extract Features and …

Subsumption Reduces Dataset Dimensionality Without Decreasing Performance Of A Machine Learning Classifier, Donald C. Wunsch, Daniel B. Hier

Chemistry Faculty Research & Creative Works

When Features in a High Dimension Dataset Are Organized Hierarchically, There is an Inherent Opportunity to Reduce Dimensionality. Since More Specific Concepts Are Subsumed by More General Concepts, Subsumption Can Be Applied Successively to Reduce Dimensionality. We Tested Whether Sub-Sumption Could Reduce the Dimensionality of a Disease Dataset Without Impairing Classification Accuracy. We Started with a Dataset that Had 168 Neurological Patients, 14 Diagnoses, and 293 Unique Features. We Applied Subsumption Repeatedly to Create Eight Successively Smaller Datasets, Ranging from 293 Dimensions in the Largest Dataset to 11 Dimensions in the Smallest Dataset. We Tested a MLP Classifier on All …

Risks To Student Achievement In Higher Education, Angela Atwell, Bettina Mrusek, James Solti, Keith Wilson

Publications

Abstract. A university system sets out to deliver educational experiences that meet set goals such as the achievement of learning outcomes for individual courses and program outcomes for degree programs. There are many factors that impact the successful achievement of student learning outcomes and therefore success-ful program design and implementation. If courses are not effectively designed with assessments properly aligned to learning outcomes, student achievement is challenging to measure. If faculty do not consistently adhere to college and/or uni-versity policies regarding submission of assignments, student behavior and per-ceptions of expectations in future courses may be skewed. In addition, students may, …

Cyber Insurance Effects On Cyber Hygiene: Does The Homeostatic Effect Apply?, Wendi M. Kappers, Aaron Glassman, Michael S. Wills

Publications

A theoretical framework and research strategy is proposed to gain insight into perceptions and decisions as to how SMBs make decisions regarding cybersecurity hygiene measures, which could lead to betterinformed decisions regarding insurance as part of an ISA program, as well as have a bearing on policy structures and pricing for such insurance. This is because the definition of “cybersecurity hygiene habits”(CHH) as a task appears to vary within the industry and makes the practice hard to measure and evaluate. Research suggests that there may be a poorly understood connection between CHHs undertaken by organizations and their perceptions and/or adoption …

How To Draft An Sop?, Emily Faulconer

Publications

ERAU offers resources to support SOP development.

We can streamline efforts by learning from the past.

• Do not write an SOP for an individual process or action, it should be a part of the larger process.

• Disregard the first sentence if the material is so dangerous that it needs its own SOP created.

• If you are having trouble, stop and ask for assistance. The process can become frustrating.

• Be specific (what size container, slow/fast pour, what speed to mix at).

• Do not refer to other checklists if at all possible, multiple SOPs/checklists can cause errors/mistakes. …

Nanostructured Copper Selenide As An Ultrasensitive And Selective Non-Enzymatic Glucose Sensor, Siddesh Umapathi, Harish Singh, Jahangir Masud, Manashi Nath

Chemistry Faculty Research & Creative Works

CuSe nanostructures exhibit high-efficiency for glucose detection with high sensitivity (19.419 mA mM-1 cm-2) and selectivity at a low applied potential of +0.15 V vs. Ag|AgCl, a low detection limit of 0.196 μM and a linear range of glucose detection from 100 nm. to 40 μM. This journal is

Advanced Battery Modeling For Interfacial Phenomena And Optimal Charging, Yaqi Zhu

Doctoral Dissertations

"Lithium-ion batteries are one of the most promising energy storage systems for portable devices, transportation, and renewable grids. To meet the increasing requirements of these applications, higher energy density and areal capacity, long cycle life, fast charging rate and enhanced safety for lithium-ion battery (LIBs) are urgently needed. To solve these challenges, the relevant physics at different length scale need to be understood. However, experimental study is time consuming and limited in small scale’s study. Modeling techniques provide us powerful tools to get a deep understanding of the relevant physics and find optimal solutions. This work focuses on studying the …

The Empirical Journey On The Roads Less Traveled To Explore The Concept Of Medication Competence And Address Nursing Students’ Pharmacology Self-Efficacy, Melynda Thelen

Electronic Theses and Dissertations

Medication competence is a priority within the academic setting, as it allows nurses to provide sound knowledge-based care and ensure safe medication delivery. Nevertheless, there is a dearth of theoretical or conceptual basis and definition of medication competence to guide assessment, analysis, and development of informed empirical evidence. Literature has also suggested current curricula do not support the complex and in-depth nature of nursing pharmacology. This dissertation paper presents three seminal manuscripts which provides the researcher’s pathway in discovering and analyzing an innovative nursing pharmacology educational strategy. The first manuscript focused on a concept analysis on medication competence, which provided …

Additive And Interface Engineering Of Lead-Tin Mixed Low-Bandgap Perovskite Solar Cells For Higher Efficiency And Improved Stability, Nabin Ghimire

Electronic Theses and Dissertations

Lead (Pb) -Tin (Sn) mixed perovskites suffer from large open-circuit voltage (VOC) loss due to the rapid crystallization of perovskite film, creating Sn and Pb vacancies. Such vacancies act as defect sites expediting charge carrier recombination, thus hampering the charge carrier dynamics and optoelectronic properties of perovskite films. In the first project, we focused on the passivation of perovskite surface defects to increase the opencircuit voltage of the 1.25 eV low-bandgap perovskite solar cells by utilizing a trace amount of Phenethylammonium iodide (PEAI) in the perovskite precursor solution as a doping agent. The incorporation of PEAI in perovskite precursors improved …

Advanced Analytical Techniques For The Analysis Of Therapeutics Of Toxic Inhalation Agents And Pharmacokinetic Investigation, Subrata Bhadra

Electronic Theses and Dissertations

Toxic inhalation agents (TIAs), (i.e., cyanide (CN) and reduced sulfur compounds (RSCs)), including hydrogen sulfide (H2S) and methanethiol (MT)) are extremely poisonous upon exposure. Many TIAs act by inhibiting mitochondrial cytochrome c oxidase, resulting in cellular hypoxia, cytotoxic anoxia, apnea, respiratory failure, cardiovascular collapse, seizure and potentially death. CN is generated in structural fires and cigarette smoke as well as in mining, electroplating and polymer processing, whereas H2S and MT are found in petroleum, oil and natural gas, waste treatment facilities and decaying organic matter. All are common occupational gas exposure hazards in chemical industries and for first responders, including …

Infrastructure Systems Modeling Using Data Visualization And Trend Extraction, Jacob Marshal Hale

Doctoral Dissertations

“Current infrastructure systems modeling literature lacks frameworks that integrate data visualization and trend extraction needed for complex systems decision making and planning. Critical infrastructures such as transportation and energy systems contain interdependencies that cannot be properly characterized without considering data visualization and trend extraction.

This dissertation presents two case analyses to showcase the effectiveness and improvements that can be made using these techniques. Case one examines flood management and mitigation of disruption impacts using geospatial characteristics as part of data visualization. Case two incorporates trend analysis and sustainability assessment into energy portfolio transitions.

Four distinct contributions are made in this …

Analysis Of The Primary Volatile Compositions In The Oort Cloud And Jupiter-Family Comets Towards The Goal Of Understanding Their Origin And Diversity, Mohammad Saki

Doctoral Dissertations

“Knowledge of the initial conditions present in the early solar nebula is required to understand the evolution and its current volatile content. Comets were some of the first objects to accrete in the solar nebula. They are among the most pristine (primitive) remnants of the solar system formation, and their present-day volatile composition likely reflects the composition and conditions where (and when) they formed. Therefore, they are fossils of the solar system formation. High-resolution near-infrared spectroscopy is a valuable tool for sampling the parent volatile (i.e., ices subliming directly from the nucleus) composition of comets via analysis of fluorescence emission …

Sympathy For The Devil: A Compassionate Approach To Morally Reprehensible Characters In Drama, Amy Livingston

Electronic Theses and Dissertations, 2020-2023

Empathy is often heralded as a vital part of the theatrical experience. Generally understood as the experience of feeling what another person is feeling, it is believed to help actors create more honest performances and to help audiences better understand viewpoints different from their own. These empathic experiences are complicated, however, when applied to stories about characters who commit unforgivably evil acts and may lead people to feel manipulated into justifying or sharing the immoral beliefs of these characters. This thesis argues that for theatre practitioners telling stories about morally reprehensible characters, compassion, involving feelings of care and concern for …

Artistic Science: An Exploration Of Dramaturgy Through Inquiry-Based Learning For Youth Artists, Sam Dirosa

Electronic Theses and Dissertations, 2020-2023

In the unique world of a play, dramaturgy provides the essential multi-dimensional foundation for comprehensive exploration. As the identity of dramaturgy is complex and continues to evolve, the artistic value discovered through practice positively contributes to the theatrical experience for both artists and audience members. This substantial element is mostly absent from theatrical experiences for youth, usually making a meaningful appearance in professional and collegiate theatre productions. To promote the importance of dramaturgy, I attempt to construct and explore a learning opportunity at Long Lake Camp for the Arts, a summer performing arts camp for youth artists and performers. This …

Spatio-Temporal Representation For Reasoning With Action Genome, Kesar Tumkur Narasimhamurthy

Electronic Theses and Dissertations, 2020-2023

Representing Spatio-temporal information in videos has proven to be a difficult task compared to action recognition in videos involving multiple actions. A single activity consists many smaller actions that can provide a better understanding of the activity. This paper tries to represent the varying information in a scene-graph format in order to answer temporal questions to obtain improved insights for the video, resulting in a directed temporal information graph. This project will use the Action Genome dataset, which is a variation of the charades dataset, to capture pairwise relationships in a graph. The model performs significantly better than the benchmark …

Spiritual Life Of The Christian Immigrant And Non-Immigrant Family, Moses Mary Apreku

Asia Pacific Mission Studies

The Asia-Pacific Christian immigrants and non-immigrants have a huge impact on Western Christianity. Therefore, special pastoral care, faith, and spiritual formation should be given to immigrant families so that they can become efficient lay missionaries. Unfortunately, proper faith formation of the lay faithful is lacking in the Church, while by virtue of their baptism, they are also called to witness Christ in the world. The formation and training of Christians in the faith is essential so that as Christ’s disciples, they may become his efficient witnesses in the world. For this reason, Jesus took three years in training and forming …

Easy Money: Examining Social Disorganization, Urbanization, Healthcare Fraud, And Community Health In America., Wilmer Alvarez Irizarry

Electronic Theses and Dissertations, 2020-2023

In the past 40 years, the health of citizens in the United States has changed significantly. The population of the United States managed to get sicker and die slower across the prior four decades. Adding to this complexity is the fact that illnesses and health behaviors in the United States are also not equally distributed by race, class, gender, or other social factors. These facts do not only reflect level of the disease and illness in the United States, but also the disparities that exist within them and the sociomedical factors that impact health. Despite costing American taxpayers between $120 …

Model-Form Uncertainty Quantification In Prognosis And Fleet Management With Physics-Informed Neural Networks, Arinan De Piemonte Dourado

Electronic Theses and Dissertations, 2020-2023

Prognosis and health management play an important role in the control of costs associated with the operation of large industrial equipment. By properly comprehending hardware degradation and accurately predicting the remaining useful life of such equipment, we can significantly lower operational costs by reducing asset downtime and maintenance interventions. However, complex interactions between operational conditions and component capability make accurately modeling damage accumulation for large fleets a daunting task. Unforeseen factors such as aggressive missions introduced by operators, exposure to harsh environments, manufacturing issues, amongst many others, can lead to large discrepancies between predicted and observed useful life. Motivated by …

Algorithms And Lower Bounds For Ordering Problems On Strings, Daniel Gibney

Electronic Theses and Dissertations, 2020-2023

This dissertation presents novel algorithms and conditional lower bounds for a collection of string and text-compression-related problems. These results are unified under the theme of ordering constraint satisfaction. Utilizing the connections to ordering constraint satisfaction, we provide hardness results and algorithms for the following: recognizing a type of labeled graph amenable to text-indexing known as Wheeler graphs, minimizing the number of maximal unary substrings occurring in the Burrows-Wheeler Transformation of a text, minimizing the number of factors occurring in the Lyndon factorization of a text, and finding an optimal reference string for relative Lempel-Ziv encoding.

Analyzing The Blockchain Attack Surface: A Top-Down Approach, Muhammad Saad

Electronic Theses and Dissertations, 2020-2023

Blockchains enable secure asset exchange in a distributed system, thereby facilitating innovative applications such as cryptocurrencies and smart contracts. Although the cryptographic constructs of blockchains are highly secure, however, their practical deployments are vulnerable to various attacks due to their application-specific policies, and their peer-to-peer (P2P) network intricacies. In this work, we take a top-down approach towards exploring those attacks, starting with the application-specific abuse of blockchain-based cryptocurrencies and concluding with the network conditions that violate the blockchain consistency. In the top-down approach, we first analyze the application-specific abuse of blockchain-based cryptocurrencies by uncovering (1) covert cryptocurrency mining in the …

Robust Acceleration Of Data-Centric Applications Using Resistive Computing Systems, Baogang Zhang

Electronic Theses and Dissertations, 2020-2023

With the accessible data reaching zettabyte level, CMOS technology is reaching its limit for the data hungry applications. Moore's law has been reaching its depletion in recent studies. On the other hand, von Neumann architecture is approaching the bottleneck due to the data movement between the computing and memory units. With data movement and power budgets becoming the limiting factors of today's computing systems, in-memory computing using emerging non-volatile resistive devices has attracted an increasing amount of attention. A non-volatile resistive device may be realized using memristor, resistive random access memory (ReRAM), phase change memory (PCM), or spin-transfer torque magnetic …

Biophysical Analysis Of The Structure And Aggregation Of Amyloid Beta Peptide, Faisal Abedin

Electronic Theses and Dissertations, 2020-2023

Alzheimer's disease (AD) is the major cause of dementia and is characterized by neuronal death and brain atrophy. The amyloid ß (Aß) peptide is tightly associated with neuronal dysfunction during AD, but the molecular mechanism underlying the neurotoxic effect of Aß is poorly understood. Extracellular fibrillar deposits (plaques) of Aß were initially believed to be the cause of AD, but currently there is overwhelming evidence that the prefibrillar Aß oligomers are the major toxic entities. Structural characterization of Aß oligomers and fibrils is important for understanding the structural features determining the toxic potency of the peptide. This project has studied …

Teacher Questioning Practices In Early Childhood Science Activities, Erin Hamel, Yuenjung Joo, Soo-Young Hong, Anna Burton

Department of Child, Youth, and Family Studies: Faculty Publications

This study explores teachers’ use of questioning during collaborative science exploratory activities. We classified a total of 755 questions across 14 preschool science lessons implemented by four teachers by type (open- or closed-ended) and content (science- or non-science-related) while also recording the intended recipient. Results revealed that, overall, teachers primarily asked closed-ended questions to children during preschool science activities. While closed-ended questions outnumbered open-ended, science-related questions were more likely to be open-ended questions. We noticed this trend whether the teacher directed the question to a group of children or an individual child. Gender of the child recipient was also explored …

The New Formalism In Private Law, Paul B. Miller

Journal Articles

Private law scholarship is experiencing a reawakening in the United States with the rise of the New Private Law. New Private Lawyers have emphasized our common commitment to the scholarly interest and practical importance held by legal concepts; a belief that private law ought to be analyzed (in part) from an internal point of view; and a conviction that functionalist and conceptual analyses of private law doctrines, procedures and institutions are, or can be, complementary. We are also joined in criticism of aspects of American legal realism and in lament over some of its continuing legacies in private law. However, …

Implication Of Manifold Assumption In Deep Learning Models For Computer Vision Applications, Marzieh Edraki

Electronic Theses and Dissertations, 2020-2023

The Deep Neural Networks (DNN) have become the main contributor in the field of machine learning (ML). Specifically in the computer vision (CV), there are applications like image and video classification, object detection and tracking, instance segmentation and visual question answering, image and video generation are some of the applications from many that DNNs have demonstrated magnificent progress. To achieve the best performance, the DNNs usually require a large number of labeled samples, and finding the optimal solution for such complex models with millions of parameters is a challenging task. It is known that, the data are not uniformly distributed …

Evaluating Carbon Uptake And Storage Potential Of Three Pine Species Across Environmental Gradients In Florida, Alicia Formanack

Electronic Theses and Dissertations, 2020-2023

Natural climate solutions, such as reforestation, are increasingly called for to lower atmospheric CO2 concentrations and prevent further warming of the climate. Predictive modeling of forest stand dynamics provides a quantitative framework that can be used to select the tree species with the highest carbon (C) uptake potential for restoration efforts based upon site-specific and species-specific data. To simulate stand dynamics and compare C uptake and storage potential of three pine species across Florida, I developed individual-based models that combined environmentally-sensitive tree growth models with background mortality taken from the literature. Growth model parameters were estimated using space for time …

Evaluating Ozone And Granular Activated Carbon Treatment For Control Of Disinfection By-Product Formation For A Central Florida Groundwater Supply, Devon Higgins

Electronic Theses and Dissertations, 2020-2023

A pilot investigation that compared ozone oxidation with an integrated ozone and granular activated carbon (GAC) process for the control of regulated disinfection by-products at the University of Central Florida's water plant located at the Orlando campus has been completed. Treatment effectiveness was measured by monitoring the parameters pH, temperature, non-purgeable dissolved organic carbon (DOC), ultraviolet absorbance at a wavelength of 254 nm (UV254), specific ultraviolet absorbance (SUVA), excitation emission matrices (EEMs) and the associated formation of the DBP chemical groups total trihalomethanes (TTHMs) and haloacetic acids (HAAs). Groundwater that contained an average of 2.5 milligrams per liter (mg/L) DOC …

A Deep Learning Approach For Real-Time Analysis Of Attendees’ Engagement In Public Events, Sujith Samuel Mathew, Manar Alkhatib, May El Barachi

All Works

Smart city analytics requires the harnessing and analysis of emotions and sentiments conveyed by images and video footage. In recent years, facial sentiment analysis attracted significant attention for different application areas, including marketing, gaming, political analytics, healthcare, and human computer interaction. Aiming at contributing to this area, we propose a deep learning model enabling the accurate emotion analysis of crowded scenes containing complete and partially occluded faces, with different angles, various distances from the camera, and varying resolutions. Our model consists of a sophisticated convolutional neural network (CNN) that is combined with pooling, densifying, flattening, and Softmax layers to achieve …