Digital Commons Network^™

Antibody-Drug Nanoparticle Induces Synergistic Treatment Efficacies In Her2 Positive Breast Cancer Cells, Muhammad Raisul Abedin, Kaitlyne Powers, Rachel Aiardo, Dibbya Barua, Sutapa Barua

Chemical and Biochemical Engineering Faculty Research & Creative Works

Chemotherapeutic drugs suffer from non-specific binding, undesired toxicity, and poor blood circulation which contribute to poor therapeutic efficacy. In this study, antibody–drug nanoparticles (ADNs) are engineered by synthesizing pure anti-cancer drug nanorods (NRs) in the core of nanoparticles with a therapeutic monoclonal antibody, Trastuzumab on the surface of NRs for specific targeting and synergistic treatments of human epidermal growth factor receptor 2 (HER2) positive breast cancer cells. ADNs were designed by first synthesizing ~ 95 nm diameter × ~ 500 nm long paclitaxel (PTX) NRs using the nanoprecipitation method. The surface of PTXNRs was functionalized at 2′ OH nucleophilic site …

Racial/Ethnic Disparities In Mental Health Diagnosis Of Maltreated Youth, Shadie Burke

UNLV Theses, Dissertations, Professional Papers, and Capstones

Racial/ethnic marginalized youth are more likely to receive a misdiagnosis of a mental health disorder than their White peers. Misdiagnosis contributes to existing disparities for racial/ethnic marginalized groups by leading to longer durations of untreated and worsening mental health symptoms. For maltreated youth, receiving a misdiagnosis can lead to a failure to connect with appropriate mental health services, medication regimens, therapeutic foster homes, and academic and developmental resources. To date, very few empirical studies have identified disparities in mental health diagnosis among racial/ethnic marginalized maltreated youth. The present study examined two key research questions: (1) what racial/ethnic disparities in diagnoses …

From Language Comprehension Towards General Ai, Binay Dahal

UNLV Theses, Dissertations, Professional Papers, and Capstones

Language comprehension or more formally, natural language understanding is one of the major undertakings in Artificial Intelligence. In this work, we explore a few of the problems in language understanding using fixed deep learning models. Specifically, first, we look into question generation. Asking questions relates to the cognitive ability of language comprehension and context understanding. For that reason, making progress in question generation is significant. We introduce a novel task called “question generation with masked target answer” and propose various models and present the baseline result for the task. Next, we extend on the question generation task and develop a …

Monitored Compression Therapy: Using Smart Technology To Optimize The Treatment Of Lower Extremity Swelling, James Skelly

UNLV Theses, Dissertations, Professional Papers, and Capstones

Chronic Venous Insufficiency (CVI) and Venous Stasis Ulcers (VSUs) are symptoms which stem from diabetes – a disease effecting over 34 million people in the United States alone as of 2020. This Thesis details the design of a pressure-sensing garment used to enhance the treatment of CVI. The garment uses small force sensors (four levels: the insole of the foot, the lower leg, the lower calf, and the upper calf) to sense the pressure applied by a compression stocking. The sensed data is transmitted wirelessly via Bluetooth to a smartphone application that was developed to display the data and interface …

The Concept Album As Postmodern Literature: A Critical Examination Of Nine Inch Nails' The Downward Spiral, Kelly E. Stith

UNLV Theses, Dissertations, Professional Papers, and Capstones

With the humanities becoming progressively more open to interdisciplinary studies, there exists a space for music to be part of the discourse surrounding literature. One of the most important developments for music was the rise of the concept album, a medium where the individual tracks are defined by a larger theme or a unifying narrative. The concept album first emerged in the 1960s and became a method for musicians to experiment with expanded storylines and lyrical motifs that overthrew classical models of music albums. One of the most

influential concept albums, Nine Inch Nails’ The Downward Spiral, which came out …

Dreams Of Molecular Beams: Indium Gallium Arsenide Tensile-Strained Quantum Dots And Advances Towards Dynamic Quantum Dots (Moleculare Radiorum Somnia: Indii Gallii Arsenicus Tensa Quanta Puncta Et Ad Dinamicae Quantae Puntae Progressus), Kevin Daniel Vallejo

Boise State University Theses and Dissertations

Through the operation of a molecular beam epitaxy (MBE) machine, I worked on developing the homoepitaxy of high quality InAs with a (111)A crystallographic orientation. By tuning substrate temperature, we obtained a transition from a 2D island growth mode to step- ow growth. Optimized MBE parameters (substrate temperature = 500 °C, growth rate = 0.12 ML/s and V/III ratio ⩾ 40) lead to growth of extremely smooth InAs(111)A films, free from hillocks and other 3D surface imperfections. We see a correlation between InAs surface smoothness and optical quality, as measured by photoluminescence spectroscopy. This work establishes InAs(111)A as a platform …

A Wireless, Multi-Channel Printed Capacitive Strain Gauge System For Structural Health Monitoring, Kshama Lakshmi Ranganatha

Boise State University Theses and Dissertations

Structural health monitoring of soft structural textiles plays a key role within the space industry to ensure the safety and integrity of space habitats, parachutes, and decelerator systems. Strain monitoring could be an effective means to evaluate structural integrity, but conventional monitoring systems are not suitable because they are intended for large, rigid structures. To overcome the limitations of rigid sensors, we recently proposed using printed capacitive strain gauges (CSGs) on flexible substrates to monitor the structural health of soft structure materials. Here, we present a strategy and implementation of a wireless, multi-channel readout system for distributed monitoring of soft …

Fair And Efficient Consensus Protocols For Secure Blockchain Applications, Golam Dastoger Bashar

Boise State University Theses and Dissertations

In blockchain technology, consensus protocols serve as mechanisms to reach agreements among a distributed network of nodes. In this work, we propose three novel protocols for permissioned, healthcare, and supply chain blockchain.

(1) Proof of Queue (PoQ), for private blockchains, combines the lottery strategy of PoET with a specialized round-robin algorithm where each node has an equal chance to become a leader with equal access. PoQ is relatively scalable without any collision. Like PoET, PoQ uses Intel SGX, a Trusted Execution Environment, to generate a secure random waiting time to choose a leader and fairly distribute the leadership role to …

Fire Effects On Soil Properties: Amending Post-Fire Soils With Native Microbial Communities And Biochar To Improve Sagebrush Performance, Sabrina Marie Schuler

Boise State University Theses and Dissertations

Within the sagebrush steppe, fire has been shown to affect biogeochemical properties and the microbial community composition in soils. However, there is uncertainty about the magnitude and direction of these effects, since they vary by sites that differ in abiotic and biotic conditions. Moreover, differences in post-fire management strategies are likely to mediate the effect of fire on soil properties, thus further compounding this uncertainty. Any changes in soil biogeochemical properties following fire can prevent successful restoration of Artemisia tridentata sp. wyomingensis (sagebrush), leading to variable outcomes of restoration success in the sagebrush steppe. Previous research has shown that addition …

Water Quality Responses To A Semi-Arid Beaver Meadow In Boise, Idaho, Luise Bayer Winslow

Boise State University Theses and Dissertations

Beavers have been instrumental in shaping the North American riverine landscape. However, land use change and beaver trapping have caused large decreases in beaver populations, resulting in fundamental changes to river morphology, hydrology, and biogeochemical function. Effective river restoration and remediation of arid western rivers relies on a comprehensive interpretation of how beaver activity influences water quantity and quality. In this study, I compared two stream reaches with and without beaver dams in a semi-arid watershed, to quantify the effects of beaver activity on hydrology and biogeochemistry. Within each reach, I combined dilution gauging and stream tracer experiments to determine …

Gather Round The Tree: Woody Aboveground Biomass Increases Animal Presence And Species Richness In A Tropical Forest-Savanna Ecotone, Merry Vanessa Marshall Davidson

Boise State University Theses and Dissertations

Boundaries between ecosystems are often biodiversity hotspots with relatively high vulnerability to global change. The boundary between tropical rainforest and savanna ecosystems in the Amazon presents an ecotone that is undergoing a shift in ecosystem structure, as a warming climate promotes the expansion of grassland. How animal communities in the Amazon will respond to changes in ecosystem structure is a crucial unanswered question with implications for the many ecosystem services that animals provide, from a food source for Indigenous people to seed dispersal for vulnerable tree populations. Recent modeling work has forecasted that faunal savannization will occur in the Amazon, …

The Influence Of Positive School Orientation And Teacher Attachment On Adolescent Mental Health Outcomes: Investigating Possible Group Differences, Within A Social And Emotional Learning Curriculum, Stefanie Diann Holloway

Boise State University Theses and Dissertations

Social and emotional learning (SEL) interventions can be delivered universally in schools to help equalize opportunities for diverse students and improve their mental health, as well as other outcomes. However, it is not always known or fully understood which underlying mechanisms may be at play that enable these interventions to achieve their effects –or how such mechanisms may develop over time, within an SEL intervention. The primary purpose of this study was to determine how one such intervention, Positive Action, was able to improve adolescent students’ mental health outcomes, by testing the potential mediational influences of students’ levels of …

Effects Of Habitat Disturbances On Reptiles In Sagebrush Steppe, Kristina Joan Parker

Boise State University Theses and Dissertations

Reptiles inhabiting shrub-steppe ecosystems of the Intermountain West have adapted to harsh, unpredictable desert conditions, yet recent changes in disturbance regimes may put species at risk. In southwest Idaho, cheatgrass (Bromus tectorum) has altered the fire regime resulting in a vast conversion of shrub-steppe to mostly annual grasslands that burn too frequently to allow shrublands to recover. Southwest Idaho has the highest reptile diversity in the Pacific Northwest, yet we know little about reptile community dynamics in response to the cheatgrass-fire cycle. We hypothesized that wildfires and cheatgrass negatively affect reptile communities directly (i.e., mortality during fires) and …

Using Differential Shear Strain Measurements To Monitor Crosstie Support Conditions In Railroad Tracks, D. Kody Johnson

Boise State University Theses and Dissertations

This thesis details a comprehensive numerical analysis of load determination, and crosstie support assessment and monitoring using strain gauges to measure differential rail shear strain in ballasted railroad tracks due to applied railcar wheel loads. These differential shear strain measurements can be related to applied wheel loading and crosstie support reactions through the geometric and constitutive properties of a given rail section. The basic theory behind the measurement technique was reviewed and investigated using finite element models of varying complexity. The impact of field conditions such as differential ballast and subgrade support, track stiffness, crosstie spacing, gauge installation location, and …

Role Of The Nuclear Envelope In The Mechanoregulation Adipogenesis, Matthew H. Goelzer

Boise State University Theses and Dissertations

Mechanical signals are known regulators of mesenchymal stem cell (MSC) fate, regulating their differentiation into osteoblasts, chondrocytes, and adipocytes. These relevant mechanical signals reach to nucleus through nuclear envelope proteins such as Lamin A/C and the Linker of the Nucleoskeleton and Cytoskeleton (LINC) complexes. Within the context of bone, clinically relevant mutations of Lamin A/C and the LINC complexes have been shown to alter adipogenic and osteogenic MSC differentiation patterns, suggesting that that nucleo-cytoskeletal connectivity provided by nuclear envelope is important in regulating MSC fate. Using MSC adipogenesis as a model of MSC mechanical regulation, the goal of this work …

How To Recognize And Control Interfacial Phenomena That Hinder The Advancement Of Clean Energy Technologies, Corey Michael Efaw

Boise State University Theses and Dissertations

Nuclear energy and electrochemical energy storage, such as batteries, are key parts to the clean energy transition of critical infrastructure. This work aims to define, monitor, and modify interfacial layers that would improve the utility of materials in harsh environments seen in nuclear and energy storage applications. First, the studying of zirconium alloys, which is used as nuclear cladding, was done to better understand the degradation mechanisms within an extreme environment. High-resolution characterization techniques were used to correlate corrosion mechanisms to equivalent circuit models from novel in-pile electrochemical impedance spectroscopy sensors. Advancement in this sensor technology could provide further insight …

Investigating The Role Of The Skeletal Muscle In Amyotrophic Lateral Sclerosis Neuromuscular Junction Dysfunction, Agnes Badu-Mensah

Electronic Theses and Dissertations, 2020-2023

Neuromuscular junction (NMJ) dysfunction has been identified as one of the earliest events in Amyotrophic Lateral Sclerosis (ALS) pathology. However, which tissue type induces NMJ disruption; be it the motoneurons (hMN), Schwann cells or skeletal muscle (hSKM) remains unresolved. While mechanisms by which ALS hMN contribute to NMJ dysfunction are well-described in literature, limited information exist on how the other tissue types in the tripartite synapse (hSKM and Schwann cells) induce and/or contribute to ALS NMJ disruption. A fair understanding of the role of each tissue type in NMJ dysfunction would help shape the trajectory of future ALS research and …

The Impact Of The Community Partnership School Model On Student Self-Efficacy And Civic Engagement, Brandon Lowe

Electronic Theses and Dissertations, 2020-2023

The purpose of this causal-comparative study was to identify the impact of the Community Partnership Schools™ (CPS) model of community schools in the areas of social self-efficacy, academic self-efficacy, emotional self-efficacy, and civic engagement beyond the point of enrollment in the school. To answer the research questions, the researcher compared the responses of 96 high school students that had previously been enrolled in a CPS with the responses of 402 students from racially and socioeconomically similar schools that were not CPS, using the Self-Efficacy Questionnaire for Children (SEQ-C) and the Civic Engagement Scale (CES). Results showed a significant positive correlation …

Water Diplomacy And Its Strategic Significance For Sustainable Development Goals And Global Security Architecture, Adam Krzymowski

All Works

This article presents new approaches to water diplomacy connected with the United Nations 2030 Agenda. The research question is what is the role and significance of water diplomacy for Sustainable Development Goals (SDGs) and global security architecture? The paper is based on the theory of interdependence. To illustrate this concept, the author used several case studies to identify the international security role of water diplomacy in the context of SDGs. The case studies point to the greater likelihood that wars in the twenty-first century will be due to freshwater disputes; water diplomacy should be a crucial instrument for the SDGs …

Water As A Weapon Of War In The Tigris-Euphrates Basin, Adam Krzymowski

All Works

The article’s scientific goal is to investigate the Weimar Triangle countries’ relations with the United Arab Emirates. Therefore, the author asks the research question. Are the Weimar Triangle states’ role and significance increasing in the external dimension of the European Union? Based on the example of the United Arab Emirates, the research adopted a hypothesis. It is the statement that after Brexit, the Weimar Triangle countries have a chance to improve their importance in the EU external activities. Apart from case studies, to revise the hypothesis, the author performed a meticulous comparative analysis. Moreover, the research implemented International Practice Theory …

Theoretical Models Of Integration Of Interactive Learning Technologies Into Teaching: A Systematic Literature Review, Laila Mohebi

All Works

With the fast progress of technology and the vast amount of research papers related to technology integration in education being published yearly, a study that reviews models used in these papers is needed. Therefore, this paper (1) reviewed and analysed theoretical frameworks with models used for integration of technology in classrooms, (2) reviewed studies that discussed the impact of technology integration on students' learning capabilities, and (3) discussed the importance of preparing teachers to effectively integrate technology in teaching. The models reviewed were: Teacher Thoughts and Action Process (TTAP), Theory of Planned Behavior, Expectancy-Value Theory of Achievement Motivation (EVAM), Substitution …

Modelling Customers Credit Card Behaviour Using Bidirectional Lstm Neural Networks, Maher Ala’Raj, Maysam F. Abbod, Munir Majdalawieh

All Works

With the rapid growth of consumer credit and the huge amount of financial data developing effective credit scoring models is very crucial. Researchers have developed complex credit scoring models using statistical and artificial intelligence (AI) techniques to help banks and financial institutions to support their financial decisions. Neural networks are considered as a mostly wide used technique in finance and business applications. Thus, the main aim of this paper is to help bank management in scoring credit card clients using machine learning by modelling and predicting the consumer behaviour with respect to two aspects: the probability of single and consecutive …

Dynamic Spillovers Between The Term Structure Of Interest Rates, Bitcoin, And Safe-Haven Currencies, David Y. Aharon, Zaghum Umar, Xuan Vinh Vo

All Works

This study examines the connectedness between the US yield curve components (i.e., level, slope, and curvature), exchange rates, and the historical volatility of the exchange rates of the main safe-haven fiat currencies (Canada, Switzerland, EURO, Japan, and the UK) and the leading cryptocurrency, the Bitcoin. Results of the static analysis show that the level and slope of the yield curve are net transmitters of shocks to both the exchange rate and its volatility. The exchange rate of the Euro and the volatility of the Euro and the Canadian dollar exchange rate are net transmitters of shocks. Meanwhile, the curvature of …

Hybrid Feature Selection Approach To Identify Optimal Features Of Profile Metadata To Detect Social Bots In Twitter, Eiman Alothali, Kadhim Hayawi, Hany Alashwal

All Works

The last few years have revealed that social bots in social networks have become more sophisticated in design as they adapt their features to avoid detection systems. The deceptive nature of bots to mimic human users is due to the advancement of artificial intelligence and chatbots, where these bots learn and adjust very quickly. Therefore, finding the optimal features needed to detect them is an area for further investigation. In this paper, we propose a hybrid feature selection (FS) method to evaluate profile metadata features to find these optimal features, which are evaluated using random forest, naïve Bayes, support vector …

The Interrelationship And Accumulation Of Cardiometabolic Risk Factors Amongst Young Adults In The United Arab Emirates: The Uae Healthy Future Study, Fatima Mezhal, Abderrahim Oulhaj, Abdishakur Abdulle, Abdulla Aljunaibi, Abdulla Alnaeemi, Amar Ahmad, Andrea Leinberger-Jabari, Ayesha S. Al Dhaheri, E. Murat Tuzcu, Eiman Alzaabi, Fatma Al-Maskari, Fatme Alanouti, Fayza Alameri, Habiba Alsafar, Hamad Alblooshi, Juma Alkaabi, Laila Abdel Wareth, Mai Aljaber, Marina Kazim

All Works

Introduction: Similar to other non-communicable diseases (NCDs), people who develop cardiovascular disease (CVD) typically have more than one risk factor. The clustering of cardiovascular risk factors begins in youth, early adulthood, and middle age. The presence of multiple risk factors simultaneously has been shown to increase the risk for atherosclerosis development in young and middle-aged adults and risk of CVD in middle age. Objective: This study aimed to address the interrelationship of CVD risk factors and their accumulation in a large sample of young adults in the United Arab Emirates (UAE). Methods: Baseline data was drawn from the UAE Healthy …

The Use Of Mobile Payment Systems In Post-Covid-19 Economic Recovery: Primary Research On An Emerging Market For Experience Goods, Maiya M. Suyunchaliyeva, Raghav Nautiyal, Aijaz A. Shaikh, Ravishankar Sharma

All Works

This study investigated whether mobile payment services could drive post-COVID-19 pandemic recovery in the ‘experience goods’ sector (e.g., tourism) utilising Bandura’s self-efficacy or social cognitive theory. It explored the factors influencing the intention to continue using mobile payment services and the intention to recommend these to others. An empirical survey was conducted to assess the study variables, and the data obtained therefrom were analysed using the industry-standard Cross-Industry Standard Process for Data Mining method. The study results suggest that personal innovativeness and perceived trust influence consumers’ intention to continue using mobile payment services and that perceived trust, personal innovativeness and …

Estimation And Interpretation Of Machine Learning Models With Customized Surrogate Model, Mudabbir Ali, Asad Masood Khattak, Zain Ali, Bashir Hayat, Muhammad Idrees, Zeeshan Pervez, Kashif Rizwan, Tae Eung Sung, Ki Il Kim

All Works

Machine learning has the potential to predict unseen data and thus improve the productivity and processes of daily life activities. Notwithstanding its adaptiveness, several sensitive applications based on such technology cannot compromise our trust in them; thus, highly accurate machine learning models require reason. Such models are black boxes for end-users. Therefore, the concept of interpretability plays the role if assisting users in a couple of ways. Interpretable models are models that possess the quality of explaining predictions. Different strategies have been proposed for the aforementioned concept but some of these require an excessive amount of effort, lack generalization, are …

The Importance Of Ethics In The Practice Of Mediation, Dorcas Quek Anderson

Research Collection Yong Pung How School Of Law

What is the predominant function of ethics for the mediation profession in Singapore? Do ethical principles assume greater significance in light of increasing institutionalisation of mediation programmes in Singapore? What can mediators, mediation advocates and mediation institutions do to ensure consistent adherence to ethical standards? These and other related issues were discussed in a webinar organised by the Singapore Academy of Law in May 2021 featuring Lim Tat, Chuan Wee Meng and this author as panellists, together with See Chern Yang as moderator. This article highlights the notable discussion points of the webinar, including the significance of mediation ethics, common …

Habitat Associations And Activity Patterns Of Herpetofauna In The Central Platte River Valley, Nebraska, With Notes On Morphometric Characteristics, Jenna M. Malzahn, Andrew J. Caven, Sean Warren, Bethany L. Ostrom, Dennis M. Ferraro

Transactions of the Nebraska Academy of Sciences and Affiliated Societies

The Central Platte River Valley (CPRV) is a unique and biologically important ecoregion, and several studies have conducted localized herpetofauna species inventories. However, there has been significantly less effort to quantify the habitat associations or activity patterns of these species. Habitat associations and activity patterns vary regionally and provide important information for ecosystem management. We deployed a total of 38 traps of 5 different types (pitfall, funnel, hoop, box, and coverboard) across 11 sites (7 terrestrial, 4 aquatic) for an 8-week period in June and July 2019. Our exploratory analyses used generalized linear models with a quasibinomial distribution to examine …

Disparities In Delaware Caregiver Beliefs About The Covid-19 Vaccine For Their Children, Thao-Ly Phan, Paul T Enlow, Michael K. Wong, Amanda M. Lewis, Anne E Kazak, Jonathan M. Miller

Department of Pediatrics Faculty Papers

Objective: To describe sociodemographic disparities in caregiver beliefs about the COVID-19 vaccine for their children. Methods: This was a cross-sectional study, linking caregiver-reported data to geocoded sociodemographic data from child EHRs. Caregivers of children receiving care in a Delaware pediatric healthcare system were invited to complete a survey about COVID-19 vaccine beliefs from March 19 to April 16, 2021. Results: 1499 caregivers participated (18% Black, 11% Hispanic, 32% public insurance, 12% rural). 54% of caregivers intended to vaccinate their children, while 34% were unsure and 12% would not. Caregivers of younger children (aOR 3.70, CI 2.36-5.79), Black children (aOR 2.11, …