Digital Commons Network^™

Automated Approach For The Enhancement Of Scaffolding Structure Monitoring With Strain Sensor Data, Sayan Sakhakarmi

UNLV Theses, Dissertations, Professional Papers, and Capstones

Construction researchers have made a significant effort to improve the safety of scaffolding structures, as a large proportion of workers are involved in construction activities requiring scaffolds. However, most past studies focused on design and planning aspects of scaffolds. While limited studies investigated scaffolding safety during construction, they are limited to simple cases only with limited failure modes and simple scaffolds. In response to this limitation, this study aims to develop an automated scaffold monitoring approach capable of monitoring large scaffolds. Accordingly, this study developed an automated scaffold safety monitoring framework that leverages sensor data collected from a scaffold, scaffold …

Covid-19 Vaccine Acceptance Behavior Among Hispanics/Latinxs In Nevada: A Theory-Based Analysis, Tara Marie Naoe Tacderan Wong Nerida

UNLV Theses, Dissertations, Professional Papers, and Capstones

The COVID-19 pandemic has impacted many lives around the world, leaving negative repercussions including health effects, economic downturns, and social and physical restrictions. The pandemic has also revealed many disproportionate health impacts on vulnerable populations, especially among the Hispanic and Latinx populations. The use of the three COVID-19 vaccines in the United States has presented a form of protection against additional negative impacts. However, hesitancy toward the COVID-19 vaccine has hindered its rapid uptake, preventing the country from reaching herd immunity and ultimately ending the pandemic. Current research is minimal in understanding the intentions of receiving the COVID-19 vaccine among …

Mga Impluwensiyang Kros-Lingguwistik Sa Panggitnang Wika Ng Mga Hapones, Koreano, At Tsinong Mag-Aaral Ng Wikang Filipino, Ronel O. Laranjo

Katipunan

Sa pagtuturo ng wikang Filipino sa mga unibersidad sa loob at labas ng bansa, mapapansin mula sa mga obserbasyon ng mga Pilipino at banyagang guro at mananaliksik na may mga feature ng gramar ng Filipino ang mahirap ituro sa mga mag-aaral, kaya naman hirap din ang mga estudyante sa pagreprodyus ng mga ito. Nagbibigay ng bagong perspektiba ang pananaliksik na ito sa pamamagitan ng pagtutok naman sa mismong proseso ng pagkatuto at pagtamo ng Filipino bilang ikalawang wika. Isa sa mga pamamalagay sa larangan ng Second Language Acquisition o Pagtamo ng Ikalawang Wika ang Teoryang Interlanguage o Panggitnang Wika, kung …

Nutrient Recovery From Wastewater By A Consortium Of Algae Species For Biofuel Production, Edgardo Ayala

Boise State University Theses and Dissertations

Current energy sources are predominantly petroleum-based and their use increases greenhouse gas (GHG) emissions. As the global population grows, and along with it the demand for energy, there is a need to further develop renewable energy sources to avoid the effects of increasing atmospheric CO₂ concentrations on the climate. Biofuels, a renewable energy source, have gained significant interest as a replacement for petroleum-based fuels due to their environmental benefits and carbon neutrality. Biofuels are expected to make up 9.0% of the total fuel consumption in the U.S. by 2040, up from 7.3% in 2019 [1]. Currently, terrestrial crop-based biofuels …

Use Of Harsh-Braking Data From Connected Vehicles As A Surrogate Safety Measure, Nathaniel Patrick Edelmann

Boise State University Theses and Dissertations

Traffic safety may be analyzed with the use of surrogate safety measures, measures of safety that do not incorporate collision data but rather rely on the concept of traffic conflicts. Use of these measures provides several benefits over use of more traditional analysis methods with historical crash data. Surrogate measures eliminate the need to wait for crashes to occur to conduct a safety analysis. The amount of time required for enough crash data to accumulate can be significant, delaying safety analyses. Similarly, these measures allow for safety analysis to be conducted prior to crashes occurring, potentially calling attention to hazardous …

Dna Origami Scaffold Development For Digital Nucleic Acid Memory, Sarah Elizabeth Kobernat

Boise State University Theses and Dissertations

Recently, DNA nanotechnology has emerged as a promising and rapidly expanding method to utilize nucleic acids as a nanoscale building material. DNA origami is a major structural application of DNA nanotechnology, using DNA to construct two- and three-dimensional shapes. These structures have been employed for a variety of uses including DNA data storage. DNA is a promising material to address the impending shortage of silicon-based storage as data demands increase. There are many sequence-based methods of data storage, but digit Nucleic Acid Memory (dNAM) uses DNA origami as a breadboard and is read by super-resolution microscopy instead. dNAM uses DNA …

Meshfree Methods For Pdes On Surfaces, Andrew Michael Jones

Boise State University Theses and Dissertations

This dissertation focuses on meshfree methods for solving surface partial differential equations (PDEs). These PDEs arise in many areas of science and engineering where they are used to model phenomena ranging from atmospheric dynamics on earth to chemical signaling on cell membranes. Meshfree methods have been shown to be effective for solving surface PDEs and are attractive alternatives to mesh-based methods such as finite differences/elements since they do not require a mesh and can be used for surfaces represented only by a point cloud. The dissertation is subdivided into two papers and software.

In the first paper, we examine the …

Hate Speech Detection Using Textual And User Features, Rohan Raut

Boise State University Theses and Dissertations

Social media platforms provide users with a powerful platform to share their ideas. Using one’s right to expression to incite hatred toward a particular group of people is inappropriate. However, hate speech is pervasive in our society. Spreading hate through online social networks like Facebook, Twitter, Tiktok, and Instagram is commonplace in today’s milieu. One such case is the unprecedented COVID-19 pandemic, which engendered anti-Asian hate.

In current literature, there is limited study on using user features in conjunction with textual features to detect hate. This thesis aims to combine textual features with user features to improve the state-of-the-art hate …

Structure, Function, And Immunogenic Applications Of Ab5-Type Adp-Ribosylating Bacterial Toxins, Elise Marie Overgaard

Boise State University Theses and Dissertations

Bacterial mono-ADP-ribosyltransferases (ARTs) catalyze the singular transfer of an ADP-ribose moiety from an NAD+ molecule onto a target molecule. ARTs contain an ancient and highly conserved tertiary structure and have a wide variety of intracellular targets and effects. Some, but not all, bacterial ARTs have an AB₅-type multimeric structure consisting of an enzymatically active subunit non-covalently situated atop of a non-toxic pentamer. The active, or A, subunit of AB₅-type toxins has a catalytic action that contributes to bacterial pathogenicity, and it is sometimes, but not always, an ART. ArtAB is an ART with AB₅-type …

Modulation Of Alpha-Crystallin-Membrane Association By Phospholipid Acyl Chain Length And Degree Of Unsaturation, Geraline Trossi-Torres

Boise State University Theses and Dissertations

Cataract is the leading cause of blindness worldwide. The only treatment for cataracts is the surgical removal of the cataractous lens and the replacement of an intraocular lens. With less availability of treatment and low income, the visual damage caused by cataracts can go untreated. The cataract may develop again after surgery, such as posterior capsule opacification. With age and cataracts, α-crystallin, a significant protein of the mammalian eye lens, is progressively associated with the eye lens membrane. The primary association sites of α-crystallin with the membranes are phospholipids. However, it is unclear if phospholipids’ acyl chain length and degree …

Direct Ink Writing Of Flexible Piezoelectric Sensors, Amanda M. White

Boise State University Theses and Dissertations

Piezoelectric poly(vinylidene fluoride-co-trifluoroethylene), or PVDF-trFE, builds up significant electrical charges on its surface when stressed. By correlating the mechanical force with the resulting electrical charges or voltages, researchers have developed flexible, broadband, and biocompatible force sensors. PVDF-trFE force sensors are traditionally fabricated via spin coating or solvent casting, which result in large waste production and experience difficulties in forming complex geometries. To tackle these challenges, I leveraged a commercial direct ink writing system (nScrypt microdispenser) to additively manufacture PVDF-trFE force sensors. I first synthesized an unprecedented piezoelectric ink that is compatible with a commercial ink writing system at Boise State …

Efficient Framework For Brain Tumor Detection Using Different Deep Learning Techniques, Fatma Taher, Mohamed R. Shoaib, Heba M. Emara, Khaled M. Abdelwahab, Fathi E. Abd El-Samie, Mohammad T. Haweel

All Works

The brain tumor is an urgent malignancy caused by unregulated cell division. Tumors are classified using a biopsy, which is normally performed after the final brain surgery. Deep learning technology advancements have assisted the health professionals in medical imaging for the medical diagnosis of several symptoms. In this paper, transfer-learning-based models in addition to a Convolutional Neural Network (CNN) called BRAIN-TUMOR-net trained from scratch are introduced to classify brain magnetic resonance images into tumor or normal cases. A comparison between the pre-trained InceptionResNetv2, Inceptionv3, and ResNet50 models and the proposed BRAIN-TUMOR-net is introduced. The performance of the proposed model is …

The Role Of Radiomics And Ai Technologies In The Segmentation, Detection, And Management Of Hepatocellular Carcinoma, Dalia Fahmy, Ahmed Alksas, Ahmed Elnakib, Ali Mahmoud, Heba Kandil, Ashraf Khalil, Mohammed Ghazal, Eric Van Bogaert, Sohail Contractor, Ayman El-Baz

All Works

Hepatocellular carcinoma (HCC) is the most common primary hepatic neoplasm. Thanks to recent advances in computed tomography (CT) and magnetic resonance imaging (MRI), there is potential to improve detection, segmentation, discrimination from HCC mimics, and monitoring of therapeutic response. Radiomics, artificial intelligence (AI), and derived tools have already been applied in other areas of diagnostic imaging with promising results. In this review, we briefly discuss the current clinical applications of radiomics and AI in the detection, segmentation, and management of HCC. Moreover, we investigate their potential to reach a more accurate diagnosis of HCC and to guide proper treatment planning.

Approaches To Supplementing Silicon In Soilless Media And The Value Of Silicon In The Mitigation Of Drought Stress, Mackenzie Grace Dey

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Silicon (Si) is not considered an essential element for plants to complete their lifecycle, but is known to be beneficial for plants under environmental stress such as drought. Unlike natural soils, Si is minimally bioavailable in soilless media. With indoor agriculture and greenhouse production increasing, the benefits of Si have been seen and Si should be supplemented. This work aimed to characterize and quantify the dissolution of Si from media substrates and additives to achieve a steady-state release of Si in soilless media. Typical media components such as coconut coir, peat moss, perlite, rock wool, sand, and vermiculite minimally released …

Pronghorn Space-Use Ecology In Utah, Veronica A. Winter

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Pronghorn are viewed as a quintessential part of the landscape in the American West. Found only in western North America, pronghorn is a unique species, having historic ranges within prairie, shrubland-steppe, and desert habitat across the continental west. Even though they have been present on this landscape since the last ice age, little is known of pronghorn ecology. There has been growing concern over the impact anthropogenic features, such as development, agriculture, and roads are having on migration, seasonal range conditions, and overall population dynamics. The aim of this thesis is to investigate factors that may be important for pronghorn …

Smartphone Usage Before And During Covid-19: A Comparative Study Based On Objective Recording Of Usage Data, Khansa Chemnad, Sameha Alshakhsi, Mohamed Basel Almourad, Majid Altuwairiqi, Keith Phalp, Raian Ali

All Works

Most studies that claimed changes in smartphone usage during COVID-19 were based on self-reported usage data, e.g., that collected through a questionnaire. These studies were also limited to reporting the overall smartphone usage, with no detailed investigation of distinct types of apps. The current study investigated smartphone usage before and during COVID-19. Our study used a dataset from a smartphone app that objectively logged users’ activities, including apps accessed and each app session start and end time. These were collected during two periods: pre-COVID-19 (161 individuals with 77 females) and during COVID-19 (251 individuals with 159 females). We report on …

Verbal Lie Detection: Its Past, Present And Future, Aldert Vrij, Pär Anders Granhag, Tzachi Ashkenazi, Giorgio Ganis, Sharon Leal, Ronald P. Fisher

School of Psychology

This article provides an overview of verbal lie detection research. This type of research began in the 1970s with examining the relationship between deception and specific words. We briefly review this initial research. In the late 1980s, Criteria-Based Content Analysis (CBCA) emerged, a veracity assessment tool containing a list of verbal criteria. This was followed by Reality Monitoring (RM) and Scientific Content Analysis (SCAN), two other veracity assessment tools that contain lists of verbal criteria. We discuss their contents, theoretical rationales, and ability to identify truths and lies. We also discuss similarities and differences between CBCA, RM, and SCAN. In …

Evaluation Of Energy Detection-Based Spectrum Sensing For Cognitive Radio Applications, Rania. A. Youssef, Mohamed. A. Mohamed, Ahmed A. Kabeel

Mansoura Engineering Journal

In this paper, a novel design of cognitive radio (CR) system based on a tunable ultra wide-band antenna is suggested; it offers a quick and cheap method for effectively locating spectrum gaps spanning. The frequency ranges of 9.30 to 13 GHz with three operating bandwidths (BW) of 1.11GHz ,0.8 GHz, and 0.36GHz. Frequency is scanned by using a tunable Ultra-Wideband, the antenna has a small size with five gaps that are used as a Switch 2 mm × 3 mm and the partial ground 30 mm × 30 mm, these Switches can offer a tuning capability. The suggested antenna is …

Heterogeneity Estimators In Random-Effects Meta-Analysis In Education, Qian Wang

Dissertations

Over the last four decades, meta-analysis has proven to be a vital analysis strategy in educational research for synthesizing research findings from different studies. When synthesizing studies in a meta-analysis, it is common to assume that the true underlying effect varies from study to study, as studies will differ in design, participants, interventions, or sample size that can lead to heterogeneity in their underlying effects. The magnitude of this heterogeneity between studies can be quantified as τ2 in a random-effects meta-analysis. Estimating the between-study heterogeneity (τ2) becomes an important part of random effects meta-analysis reporting, since this quantity plays a …

Evaluating Translocation Strategies For Box Turtles In Urbanizing Landscapes, Elizabeth D. Hays

Biological Sciences Undergraduate Honors Theses

Urbanization of landscapes, resulting in habitat degradation, loss, and fragmentation, is a significant contributor to the global decline of reptile biodiversity. Although translocation is a common management strategy for wildlife populations subject to urbanization, the efficacy of reptile translocation studies, including those of box turtles (Terrapene spp.), is highly variable. Hard-release translocation of box turtles has often proven ineffective due to homing attempts and rapid post-translocation movements. Some studies have presented soft-release as a possible method for mitigation of the negative effects of hard-release, yet those studies have also produced mixed results. Therefore, I radiotracked 18 translocated Terrapene carolina …

A Voice And Facial Recognition System To Protect Students From Being Forgotten Inside School Buses In The Kingdom Of Saudi Arabia, Ibrahim Alferaih

Theses and Dissertations

In this research, we discuss the situation of students in the three to eight year old age group. Every day in the Kingdom of Saudi Arabia during school days, more than 1,000,000 students are transported throughout the country by more than 15,000 school buses. Everything is dependent on the human element. During school transportation around the world, many children are forgotten inside the school bus and with many of them eventually going missing or even dying. The bus driver is usually busy and tired due to the focus on the road, which may make him lose focus on those on …

Modeling, Verification, And Simulation Of A Uav Swarm Consensus Protocol, Rohit Martin Menghani

Theses and Dissertations

Unmanned Aerial Vehicles (UAVs), particularly electrically powered multi-rotors, are becoming increasingly popular in the entertainment, transportation, logistics, and military sectors. One of the main drawbacks presented by these vehicles at the time of writing is the limited range achieved as a consequence of the limits of battery technology. One common method used to overcome such limitations, is the use of multiple vehicles in cooperation to achieve a certain goal. This application of UAVs is called swarming, where multiple agents can coordinate their actions to fly in a certain formation, to access a certain challenging area, or to fly further. As …

Employment Transitions From Active-Duty Army Officer To Civilian: An Exploration Of The Knowledge, Skills, And Abilities Possessed By Combat-Experienced, Army Field-Grade Officers, James Daniel Crook

Theses and Dissertations

Two decades of wars in Iraq and Afghanistan have concluded, bringing an end to the longest military conflicts in the history of the United States of America. Following the example of post-war history, the military’s posture is to reduce personnel end-strength. The post-war military requires fewer soldiers, and a significant number of transitioning officers make the journey from military to civilian employment. This quantitative study discovered the knowledge, skills, and abilities of combat-experienced, active-duty, Army field-grade officers and explored the change from military to civilian employment. This study addressed the gap in the literature regarding this specific group of transitioning …

Deep Learning Approach To Speech Recognition: A Signal Extractor & Producer For Artificial General Intelligence, Ahmad Zuhair S. Hasanain

Theses and Dissertations

The efficient use of a communication bandwidth starts with the data source. The features of the speech signals can be extracted and reconstructed to lower the Internet traffic of the acoustic artificial agents and to increase the quality of the automatic speech recognition systems. The Speech Quefrency Transform (SQT) is hereby introduced in the work to enrich the communication space between the artificial agents and mankind. We describe the motivation, methodology, and deep learning approach in detail as we apply the SQT technology to several applications: sharp pitch track extraction, real-time speech communications, and emotion recognition. The results were excellent. …

How Well Do Your Family Members Know You? The Relationship Between Informant Report And Cognitive Performance Of Older Adults, Mairy Yousif

Theses and Dissertations

Introduction: Given the clear impact and prevalence of dementia on the aging population, there is a need for greater research and understanding in this area. As the dementia progresses, medical providers rely heavily on caregiver and family member reports of the patient’s functioning and other aspects of their care. Therefore, it is important to know how accurate caregivers and family members are in judging their loved ones’ cognitive and physical strengths and weaknesses. This study aims to expand upon these previous studies by comparing caregiver/collateral reports of cognitive and functional status on the DSRS to neuropsychological tests and an objective …

Cloud Image Classification Using Machine Learning, Marcus Peter Cote

Theses and Dissertations

Machine learning is a rapidly expanding technology that has proven to be highly useful for image classification. Ground-based camera networks are an emerging resource for aviation weather information with near real-time imagery available online for public viewing and download. While raw web camera imagery can be analyzed by aviators, high pilot workload motivates the use of machine learning to autonomously interpret cloud type information from images that is relevant to aviation weather hazards. In particular, transfer learning is a machine learning approach by which elements of a pre-trained machine learning model are refitted for new tasks. By employing transfer learning …

Identifying & Addressing Barriers To Child Care For Formerly Incarcerated Mothers, Joanne Bird

Capstone Experience: Master of Public Health

As women’s incarceration rates have risen significantly in recent decades, gender-specific programs are needed to meet the needs of formerly incarcerated mothers (FIM). Although child care can be difficult to access for many families, this marginalized population faces unique obstacles to accessing child care. In order for FIM to be employed and reintegrate, they must be able to access child care; however, FIM experience unique barriers to securing child care services. This policy brief aims to identify the special considerations FIM face, as well as to explore why existing programs are not meeting their specific needs. A literature review was …

The Merit Of Inclusion: A Policy Review Examining The Convergence Of Special Education And Inclusions Policies With Compensatory Medicaid Policies In The Wake Of The Covid-19 Pandemic, Corbyn Baggett

Capstone Experience: Master of Public Health

On March 11, 2020, the World Health Organization (WHO) formally recognized the novel coronavirus (COVID-19) outbreak as a global pandemic. This global issue compelled governments to announce careful virus containing policies in order to prevent further spread and control of the disease. Although it has been proven that measures like social isolation could aid in scaling the spread of illness, the resulting extended school closures that occurred in response to an increased number of COVID-19 outbreaks posed significant challenges for all students, but especially those students with special needs. The unpredictable nature of COVID-19 at the outset of the pandemic …

The Risk Factors Of Long Covid In The Acute Covid And Solid Organ Transplant Retrospective Cohorts, Ahmed Nyandemoh

Capstone Experience: Master of Public Health

Background: Coronavirus disease 2019 (COVID-19) in solid organ transplant (SOT) patients is associated with more severe outcomes than non-immunosuppressed hosts. The risk factors for developing the long COVID in acute COVID remain unknown, and the survival outcomes of long COVID in SOT patients remain understudied.

Methods: We developed several retrospective cohorts. This project included all patients identified with acute COVID in the National COVID Collaborative Cohort Registry from July 1, 2020, to June 30, 2022.

Patients with long COVID were compared to those without long COVID in the acute COVID cohorts. Similarly, we compared the patient demographic with long COVID …

Better-Than-Chance Prediction Of Cooperative Behaviour From First And Second Impressions, Eric Schniter, Timothy W. Shields

ESI Working Papers

Could cooperation among strangers be facilitated by adaptations that use sparse information to accurately predict cooperative behaviour? We hypothesize that predictions are influenced by beliefs, descriptions, appearance, and behavioural history available for first and second impressions. We also hypothesize that predictions improve when more information is available. We conducted a two-part study. First, we recorded thin-slice videos of university students just before their choices in a repeated Prisoner’s Dilemma with matched partners. Second, a worldwide sample of raters evaluated each player using either videos, photos, only gender labels, or neither images nor labels. Raters guessed players’ first-round Prisoner’s Dilemma choices …