Digital Commons Network^™

Impact Of Leader In Me On Social-Emotional Learning Of Elementary Students, David Danielski

Dissertations

Social-emotional learning and college and career readiness skills are increasingly important in preparing our students for a successful future. The Leader in Me, based on Steven Covey’s seven habits, offers a process intended to increase the leadership skills of students through the explicit teaching of each of the habits. By studying the practices and outcomes of The Leader in Me process from schools with high degrees of implementation, this study evaluates the impact on social-emotional learning of elementary students. The findings inform programmatic decisions for social-emotional learning implementation and advocate for policy that emphasizes teacher preparedness and accountability measures for …

An Evaluation Of School Culture And Its Impact On Student Achievement, Jeremy Johns-Klein

Dissertations

The purpose of this evaluation was to examine if a school’s culture impacts student academic achievement due to initial low attainment on state assessments and low graduation rates. The data collected provides both quantitative and qualitative information using a teacher survey, a teacher focus group, administrator interviews, and school achievement data. The results of the study indicate a need for stronger trust between teachers and administrators, increased professional development to support teaching and learning, and improved partnerships with the parents/guardians of the students. An additional result is that the school’s culture for learning can impact the achievement levels of the …

Social Media In Baptist Churches, Robin Rogers

Dissertations

The integration of social media into Chicago Baptist Churches congregants recently increased over the last few years. This research study allowed church leaders to determine if social media was an effective media outlet in Baptist churches on the Southside of Chicago. The evaluation research approach was to assess the effectiveness of social media, in particular Facebook and Instagram. Within this conceptual framework, the researcher was able to produced flexible, fixed, and multi-design strategies to abstract a full spectrum of evaluation. The subsequent methodology focused on the dual use of social media and themes that coincide, specifically, marketing, politics, communication awareness, …

Escape Puzzler, Shane Robertson

Masters Theses & Doctoral Dissertations

This project is a systems design project. The goal of the project was to complete an online game for the purpose of entertaining an end-user. There is also additional research potential with analyzing the end-user behavior. This project showcases various skills learned at Dakota State University. This project required systems analysis, research of information technologies, database design, and project management.

About 50% of the planning phase was dedicated to scanning the IT industry for various technologies. We researched web hosting providers that would support the technologies we wanted to use. Also, a survey of available game engines was conducted. Additionally, …

Structured Sensemaking Of Videographic Information Within Dataphoric Space, Michael J. Pritchard

Masters Theses & Doctoral Dissertations

Attempts to create a structured sensemaking model have proven difficult. Much of the research today has evolved into a cacophony of conceptual models. Many of these sensemaking models have been proposed but not tested. Using structural equations, a unified model of sensemaking was developed and tested. This structured sensemaking model contains five sensemaking constructs: chaos, anchoring, articulation, retrospection, and identity. This model was tested using data collected from 224 educationally focused YouTube videos. The confirmatory factor model developed for this research has a measured Comparative Fit Index of 0.979, a measured Standardized Root Mean Square Residual of 0.078, and a …

The Treadmill Of Information: Development Of The Information Society And Carbon Dioxide Emissions, Joseph M. Simpson, Riley E. Dunlap, Andrew S. Fullerton

Sociology Faculty Publications (Archived)

The world is facing a crisis of global warming due to the release of CO₂ and other greenhouse gasses by human activities. Many scholars and stakeholders argue that information and communication technology (ICT) development will mitigate CO₂ emissions. Advocacy of technological solutions to CO₂ mitigation is consistent with ecological modernization theory's assertion that reflexive societies will modernize sustainably. In contrast, we define the “treadmill of information” as the unique contribution of ICT development to environmental degradation. We examine the impact of ICT development on total CO₂ emissions and source-sector emissions from electricity, buildings, manufacturing, and transportation …

Rating News Claims: Feature Selection And Evaluation, Izzat Alsmadi, Michael J. O'Brien

Computer Science Faculty Publications (Archived)

News claims that travel the Internet and online social networks (OSNs) originate from different, sometimes unknown sources, which raises issues related to the credibility of those claims and the drivers behind them. Fact-checking websites such as Snopes, FactCheck, and Emergent use human evaluators to investigate and label news claims, but the process is labor- and time-intensive. Driven by the need to use data analytics and algorithms in assessing the credibility of news claims, we focus on what can be generalized about evaluating human-labeled claims. We developed tools to extract claims from Snopes and Emergent and used public datasets collected by …

Improving The Classification Of Tiny Images For Forensic Analysis, Roba Jafar Alharbi

Theses and Dissertations

Forensics can be defined as the approach that connects with and uses in governments and different organizations in order to detect any malicious activity. Digital forensics has become an essential approach to cyber investigation. Image forensics is one of the most beneficial ways that are used in digital forensics in order to help investigators in cybercrimes. Therefore, investigators can discover some new evidence besides what is already available on their systems when they use some digital forensics techniques. This thesis focuses on identifying an image based on its contents, especially tiny images. We investigated ways to improve the performance of …

A Taxonomy Of Security Features For The Comparison Of Home Automation Protocols, Amal Abdullah Alasiri

Theses and Dissertations

Both academia and industry environments are getting significant attention to the Internet-of-Things (IoT) technology because of the unlimited benefits that this technology can bring to the environment. The technology presents a vision of a future Internet where computing systems, nodes, users, and daily nodes such as sensors and actuators cooperate with unprecedented convenience and economic benefits. The umbrella of IoT covers various applications as the following (smart home, transport, community, and national applications). Most of the studies focus on its technical and usage more than the security perspective. Especially, there are limited papers focus on smart home protocols security regarding …

Human-Robot Plan Communication, Rajaa A. Rahil

Theses and Dissertations

Although the technical development of robots has made them more autonomous, they still benefit from some human skills and advice. Therefore, the robot needs to interact with a human and ask him for help to get out of difficulties in the best way. This dissertation addresses the problem of finding better mechanisms to communicate to a robot the directions for navigation in indoor environments. We identify which out of a set of combinations of speech, gestures, and drawing mechanisms are the most comfortable, easier to learn, and least error-prone for human users. Three different methods: a Speaking method, a Gesturing …

Machine Learning In The State Design Pattern, Timothy Matthew Von Friesen

Theses and Dissertations

As the Internet of Things revolution continues to become more prevalent in humanity's daily routine, securing these devices is paramount. Society has seen a substantial increase in activity in the cyber-warfare battle space, resulting in an increasing amount of security breaches every year. The responsibility of securing our devices can no longer rely solely on cyber-security engineers keeping systems hardened through Security Technical Implementation Guides and vulnerability scans; it must shift towards the developer. Previous research has been done in this area of securing our devices. However, these solutions rely heavily on cloud computing resources to perform computationally expensive algorithms. …

International Arbitration And Attorney-Client Privilege — A Conflict Of Laws Approach, Susan Franck

Scholarly Articles in Law Reviews & Journals

Privilege determinations in international arbitration are currently the equivalent of the “wild west,” with minimal predictability and massive pockets of tribunal discretion. Yet protecting privilege in international arbitration — when the same document or communications with lawyers that is protected by United States law may receive no protection under another law — is fundamental to safeguarding attorney-client relationships within a global environment, incentivizing procedural integrity of dispute resolution, and ensuring that justice is done. As it is not clear what law applies to privilege and client confidentiality (let alone how the law is determine), this Essay begins to bridge the …

Jeromf: A Software Development Framework For Building Distributed Applications Based On Microservices And Jeromq, Aditi Jain

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

This report describes a project involving the design, implementation, and testing of a software development framework, called JeroMF, that can help developers create scalable distributed applications based on a microservice architecture and that uses JeroMQ (a native Java implementation of ZeroMQ) for message passing. JeroMF provides an execution framework and extensible components for implementing processes, services, communication channels, messages, communication statistics, and encryption. Applications built with JeroMF do not require a message broker or any other middleware processes. However, they may include an optional Service Registry that can facilitate for service discovery and secure communications. The Service Registry itself was …

Building An Effective Learning Environment For Chinese Language Learners, Wen-Yu Chang

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

This portfolio is a compilation of papers that the author originally wrote during her study in the program of Master of Second Language Teaching at Utah State University. While pursuing the Master’s degree, the author also served as an instructor, teaching assistant, and research assistant in the Chinese program. Thus, this work is framed by the author's personal reflection accumulated from her day-to-day teaching experiences and class observations.

The portfolio consists of three major sections: (1) teaching perspectives, (2) research perspectives, and (3) an annotated bibliography. With the aim to identify the elements of an effective and communicative learning environment …

Transition Portfolio, Sarah Atkinson

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

Teaching self-determination skills has been shown to be successful among those who are from Anglo-Saxon decent. However, not much has been done to study the effects of teaching culturally responsive self-determination skills to those who are from culturally and linguistically diverse backgrounds. The literature review in this transition portfolio addresses how teaching culturally and linguistically responsive self-determination skills can be useful to help individuals who receive special education services to more fully succeed in a post-high school setting.

Secondson, Jonathan Blake Heaton

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

This author’s introduction is an analysis of graphic literature and poetry, and the combining of the two to create graphic poetry. Themes are explored of what it means to be a second son in a world permeated by traditional values, regarding the prominence of the first son.

This thesis was split into five sections: Finding My Story—in which the author explains how he came to the main narrative content behind Secondson; Finding My Themes—in which the author discusses the four themes that are included in Secondson and the inspiration received from outside works of poetry; Finding My Genre—in which the …

Called To Serve: Understanding The Role Of The Woman’S Mission Decision Narrative In Latter-Day Saint Culture And Belief, Rachel Ross

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

In my thesis I explore the role of mission decision narratives of women in The Church of Jesus Christ of Latter-day Saints. Before 2012, women could not serve missions until age 21. Once the minimum age was changed to 19 in October of 2012, many more women were able to serve on mission as the opportunity was less likely to disrupt their education or romantic relationships. In The Church of Jesus Christ of Latter-day Saints, missions are seen as a priesthood duty for men but a matter of choice for women. This ability to choose and the narrative that follows …

The Bridge Newsletter Winter 2019, Missouri University Of Science And Technology

The Bridge Newsletter

-Dehghani joins S&T
-Life after death of solar panels
-Civil engineering senior studies in Hong Kong
-Planning for future climate changes in the Artic

Family Conflict Observations And Outcomes Among Adopted School-Age Children With Lesbian, Gay, And Heterosexual Parents, Rachel H. Farr, Samuel T. Bruun, Kyle A. Simon

Psychology Faculty Publications

Children’s externalizing problems are associated with family conflict among children and their biological parents, yet these linkages have remained unexamined among adoptive or lesbian and gay parent families. Investigating family processes facilitative of adjustment among adoptees, who face unique developmental challenges, is warranted. This multimethod study of 96 (26 lesbian, 29 gay, 41 heterosexual parent) adoptive families examined observations of adoptive family conflict and associations with child adjustment and feelings about adoption (children’s M_age = 8 years). The sample was recruited from 5 private, domestic infant adoption agencies across the United States. Parents and children reported about children’s externalizing …

Millon Clinical Multiaxial Inventory-Iv (Mcmi-Iv) Profile Patterns And Scale Score Correlates For Jail Inmates Referred For Mental Health Services, Lauren Ashley Price

Theses and Dissertations

Personality assessment measures have been heavily used and researched with criminal offender populations in the realms of clinical, forensic, and correctional psychology for reasons including assessing reoffending risk, informing predictions regarding future behavior, and treatment planning. The Millon Clinical Multiaxial Inventory (MCMI) features among the personality assessment measures widely used in evaluating criminal offenders. This current study compromised of adults male inmates (N=95) incarcerated in Brevard County, Florida examined scores from the recently released Millon Clinical Multiaxial Inventory-Fourth Edition (MCMI-IV). The study’s goals included (a) providing reference data based on a sample of jail inmates receiving mental health services, (b) …

Motivated Interpersonal Emotion Regulation In Leadership, Julianna Jasmin Walsh

Theses and Dissertations

Emotions are important and prevalent workplace phenomena. Previous research has found that emotions can impact different workplace-related outcomes, from increasing employee performance to increasing employee well-being (Barsade & Gibson, 2007). Leaders are expected to engage in interpersonal emotion regulation (IER) strategies that influence their followers’ emotions to facilitate these outcomes. However, little is known about this process. Leaders might have different motives for regulating followers’ emotions, such as to help them learn a skill, to be compassionate with them, or to push them to get work done. Additionally, they might target specific emotions depending on that intention and, in turn, …

A Compositional Analysis Of Artificial And Terrestrial Analog Martian Regolith Simulants, Beverly Watson Kemmerer

Theses and Dissertations

Over the past 50 years, significant advances in the knowledge of the topography, climate, and geology of Mars have taken place. The global Martian regolith composition is highly basaltic, primarily composed of pyroxene, plagioclase, and olivine, a mixture of Fe oxides and Fe-Ti oxides, and some alteration minerals, i.e. sulfates, carbonates, and clays. The particle size distribution of Martian regolith ranges from 1 µm to 1000 µm, with average Martian soil grain sizes being 250 µm to 300 µm. These regolith properties, as well as geotechnical properties, all play a part in the outcome of certain in situ resource utilization …

Mdt Geolocation Through Machine Learning: Evaluation Of Supervised Regression Ml Algorithms, Aria Canadell Solana

Theses and Dissertations

Minimizing Drive Test is a statistical protocol used to evaluate the network performance. It provides several benefits with respect to traditional drive test analysis; however, multiple inconveniences exist that prevent cell companies from precisely retrieving most of the locations of these reports. . MATLAB and Jupyter Notebook were used to prepare the data and create the models. Multiple supervised regression algorithms were tested and evaluated. The best predictions were obtained from the K-Nearest Neighbor algorithm with one ‘k’ and distance-weighted predictions. The UE geolocation was predicted with a median accuracy of 5.42 meters, a mean error of 61.62 meters, and …

Mathematical Model, Simulated Design And Experimental Results For Parabolic Mirror Based Multiplexer For Spatially Multiplexed Fiber Optic Communication Systems, Ce Su

Theses and Dissertations

Spatial Domain Multiplexing (SDM) is a multi-input multi-output (MIMO) architecture. It adds an innovative dimension to optical fiber communication systems by enabling spatial reuse of the optical frequencies. SDM utilizes radially distributed spatial locations for different input signals based on their input launch angles. These input channels propagate in a helical path inside the carrier fiber. These SDM input channels do not encounter any perceptible cross-talk or inter-symbol interference. The SDM system is similar to other optical communication systems. However, they require two added parts. These parts are the spatial multiplexer, also known as the Beam Combiner Module (BCM) and …

Single Photon Avalanche Diode (Spad) Array Quenching And A Novel Quantum Random Number Generator (Qrng), Mano Rahul Kumar Pakalapati

Theses and Dissertations

Single Photon Avalanche Diodes, SPADs is a single-photon sensitive light detector with capabilities of pico-second timing resolutions and offer potential for enhancing various fields of science to evolve into quantum-age. SPAD has applications ranging from quantum computing, cryptography (QKD) to applications in medicine such as neural imaging and Single Photon Emission Computed Tomography (SPECT). SPAD arrays are gaining popularity as they enable for parallel photon detection and 3D imaging. To account for the process tolerances and aging, each SPAD-pixel needs a tunable quenching circuit in the frontend for post-fabrication fine-tuning, this research work presents a novel Dual Triggered Tunable Active …

Improving Grapheme-To-Phoneme Translation With The Use Of Nalu Attention Mechanisms, Brian Sheldon Smith

Theses and Dissertations

In recent years, Natural Language Processing in the field of machine learning has seen some major improvements. Data scientists have shown that neural networks are capable of breaking down semantics of sentences, translating languages, and answering complex questions with fast recall. While impressive, these feats all hinge on having access to a massive amount of clean text, or data sets with almost perfect grammar and spelling. Without this, neural networks will usually fail to converge on a meaningful result. To partially this dependency, Grapheme-to-Phoneme conversion can be employed. This is the conversion of words from their spellings to a form …

Performance Evaluation Of Speech Recognition System Using Conventional And Hybrid Features And Hidden Markov Model Classifier, Hussien Elharati

Theses and Dissertations

Extracting the auditory information from speech signal is considered a computationally demanding task. However, past researches in mathematics, acoustics, and speech technology have provided many methods for signal processing and modeling. Although, all methods have their strengths and weaknesses, but they remain a serious attempt towards speech recognition system. Using multivariate statistical machine learning (Hidden Markov Model), this work investigates the performance of selected conventional and new hybrid feature extraction algorithms in both clean and noisy environments. The resultant conventional features include MFCC, LPCC, PLP, and RASTA-PLP, while the new hybrid features include LPR, MLP, MLR, and MPR. The whole …

Optimization Of Cabin Design For Enhanced Passenger Experience, Golnoosh Torkashvand

Theses and Dissertations

Passenger experience has been a recent focus of many airline industries. Airline manufacturers and businesses have noticed that in order to stay sustainable in the competition of the market, they need to understand passengers’ needs. Passenger experience, however, is a broad concept that requires more effort to understand. This research is an attempt towards understanding passenger experience and suggesting a framework toward enhancing it in long-haul flights. We consider an activity-centric approach toward redefining passenger experience and evaluating it. In addition, we employ Human-Centered Design (HCD) methodologies to grasp a better understanding of passengers’ perceptions of those activities. HCD is …

Building Datasets From Publicly Accessible Social Media Images For Biometric Analysis, Giordano Roberto Benitez Torres

Theses and Dissertations

The world is developing at a rapid pace, and some of its advancement can be accredited to technological innovations that are affecting many aspects of society. A field within computer science that is increasingly reaching many industries is Biometrics, specifically the area face recognition. Researchers, scientists, and organizations actively try to improve the performance of tools and algorithms. Nevertheless, for it to occur, there is a need for high-quality datasets to test and develop new techniques. Never had humanity, in the course of the history of civilization, produced massive amounts of data as it currently does. Social media networks play …

Monitoring And Correlating Toxic Gases Emitted By Cars In Public Indoor Garage In Real-Time Using Internet Of Things (Iot), Khalid Altheiab

Theses and Dissertations

The study was developed to adequately depict the behavior of indoor pollutant matter in public garages, the underlying factors influencing this behavior and gauge the pollutant exhaust emission patterns. In depicting the behavior of indoor pollutant matter, the research aimed at studying the emission-pollutant relationship and any variations in concentrations found at different locations within the study site. In terms of measuring the factors influencing the pollutant behavior, the research quantified the concentrations of four gaseous contaminants. The pollutant behavior was studied to better understand the different variables influencing the indoor air-quality. Finally, based on these parameters overall patterns in …