Digital Commons Network^™

Technology Adoption Of Computer-Aided Instruction In Healthcare: A Structured Review, Queenie Kate Cabanilla, Frevy Teofilo-Orencia, Rentor Cafino, Armando T. Isla Jr., Jehan Grace Maglaya, Xavier-Lewis Palmer, Lucas Potter, Dave E. Marcial, Lemuel Clark Velasco

Electrical & Computer Engineering Faculty Publications

Computer-Aided Instruction (CAI) is one of the interactive teaching methods that electronically presents instructional resources and enhances learner performance. In health settings, using CAI is one of the important ways to improve learners' knowledge and usefulness in their healthcare specialization yet there is still a lack of research that offers a comprehensive synthesis of investigating into the adoption of CAI in healthcare. This research aims to provide a comprehensive review of related literatures on the enablers and barriers for technology adoption of CAI in healthcare. 31 journals were analyzed and revealed that several studies were utilizing the Unified Theory of …

Comparison Of Machine Learning Methods For Classification Of Alexithymia In Individuals With And Without Autism From Eye-Tracking Data, Furkan Iigin, Megan A. Witherow, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Alexithymia describes a psychological state where individuals struggle with feeling and expressing their emotions. Individuals with alexithymia may also have a more difficult time understanding the emotions of others and may express atypical attention to the eyes when recognizing emotions. This is known to affect individuals with Autism Spectrum Disorder (ASD) differently than neurotypical (NT) individuals. Using a public data set of eye-tracking data from seventy individuals with and without autism who have been assessed for alexithymia, we train multiple traditional machine learning models for alexithymia classification including support vector machines, logistic regression, decision trees, random forest, and multilayer perceptron. …

Special Section Editorial: Artificial Intelligence For Medical Imaging In Clinical Practice, Claudia Mello-Thoms, Karen Drukker, Sian Taylor-Phillips, Khan Iftekharuddin, Marios Gavrielides

Electrical & Computer Engineering Faculty Publications

This editorial introduces the JMI Special Section on Artificial Intelligence for Medical Imaging in Clinical Practice.

Reward Sensitivity Predicts The Response To Cognitive Behavioral Therapy For Children With Autism And Anxiety, Matthew J Hollocks, Jeffrey J Wood, Eric A Storch, An-Chuen Cho, Connor M Kerns, Philip C Kendall

Faculty, Staff and Students Publications

Objective: Cognitive-behavioral therapy (CBT) is an effective treatment for anxiety in youth with autism spectrum disorder (ASD). However, research has yet to examine what cognitive characteristics may influence treatment response. The current study investigated decision-making ability and social cognition as potential (a) predictors of differential treatment response to two versions of CBT and (b) moderators of the effect of treatment condition.

Method: The study included 148 children (mean age = 9.8 years) with interfering anxiety and a diagnosis of ASD who were enrolled in a randomized clinical trial comparing two versions of CBT for anxiety (standard and adapted for ASD). …

Emerging Challenges To Cellular Therapy Of Cancer, Premal D Lulla, Malcolm Brenner

Faculty, Staff and Students Publications

Cellular immunotherapy of cancer in the form of chimeric antigen receptor-modified T-cell therapy has become a standard treatment for lymphoid and more recently plasma cell malignancies. Although their successes in these cancers represent a breakthrough for adoptive cell therapy, there are several challenges to their continued growth in the field of cancer medicine. In this review, we discuss the progress made thus far toward achieving "off-the-shelf" accessibility of cell therapies that has the potential to greatly offset the costs associated with the current practice of making patient-specific products. We also review the innovations under investigation that attempt to make cellular …

Key Factors Affecting Labor Productivity In Offsite Construction Projects, Rayan H. Assaad, Islam H. El-Adaway, Makarand Hastak, Kim Lascola Needy

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Offsite construction has been shown to possess many advantages and benefits in dealing with the construction industry's challenges, which include poor labor productivity. Nevertheless, all previous productivity-related research studies have focused mainly on factors impacting labor productivity in traditional stick-built construction methods. This paper filled this knowledge gap by following a multistep interrelated research methodology. First, a research team of 19 construction professionals and academics developed and distributed an industry survey to (1) quantify the likelihood of occurrence and relative impact of risk factors that adversely impact labor productivity in offsite construction projects; (2) identify and prioritize key risk factors …

Assessing The Predictive Capability Of The Nno Ballistic Limit Equation For Low-Density Projectile Impact, William P. Schonberg

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The design of nearly all Earth-orbiting spacecraft includes some sort of added shielding that protects the spacecraft against impacts by meteoroids and orbital debris. The effectiveness of the shielding is typically assessed using ballistic limit equations (BLEs) that are developed using data from high-speed impact tests on key spacecraft components and elements. These equations predict whether or not a particular system or structural element will sustain a critical failure following a specific impact event. As such, they are essential components of spacecraft system design as well as any quantitative spacecraft risk assessments that may need to be performed as part …

The Interaction Of Treadmill Type And Incline Slope On Biomechanics And Muscle Activation During Human Locomotion, Rohit Kundu

Cal Poly Humboldt theses and projects

Treadmills are widely used in biomechanical research. However, variations in treadmill design and running surfaces may affect biomechanical variables such as muscle activation and impact acceleration. In addition, incline walking on treadmills leads to changes in the pattern of muscle activation, particularly at steeper inclines. Despite extensive research on the effects of running surfaces and inclines on biomechanical variables (gait, muscle activation, impact force), the impact of varying treadmill manufacturers on biomechanical variables at high inclines remains unclear. Purpose: To determine whether the type of treadmill deck influences surface electromyography (EMG) patterns and impact accelerations at high incline (20%) walking …

A Test Of Subjective Versus Objective Language Proficiency: An Investigation Of Age Of Acquisition And Exposure In Multilinguals, Anastina B. Steiber

Cal Poly Humboldt theses and projects

This research used the BEST dataset gathered in 2017 by de Bruin and colleagues, which contains information gathered from 650 multilingual participants (435 female, Mage = 25.02) from the Basque Country at the Basque Center on Cognition, Brain and Language (BCBL). Multilingual individuals may have different levels of proficiency in each language they speak, and there are various factors that can influence proficiency. Such factors include the age at which they begin learning a language and how much exposure they have to the language. Proficiency can be assessed both subjectively (personal perception of proficiency) and objectively (observed and/or measured …

Extremism In America: Explaining Political Extremism Using Uncertainty-Identity Theory, Natasha A. La Vogue

Cal Poly Humboldt theses and projects

Navigating a post-pandemic society, climate-change, political conflict and international wars have become part of most people’s daily existence. These crises are sources of societal and personal uncertainty. An effective method of uncertainty reduction comes from people’s entrenched group memberships (e.g. nation, political party). Unfortunately, groups with extreme norms and ideologies provide rigid structures that aid in uncertainty reduction. From white nationalists to anti-fascists, the political arena is tumultuous to the point of explosion. These eruptions can be violent, even deadly, and are becoming too familiar and recognizable. Extremism poses both international and domestic threats. There is no nation or society …

Community Ecology And Disease Dynamics In Pacific Oysters: Unraveling Microbiome-Pathogen Interactions In The Wild, Victoria E. Cifelli

Cal Poly Humboldt theses and projects

In the context of multispecies microbial assemblages, disruptions can occur when there are alterations in host conditions, such as the onset of a disease. Notably, viruses have the potential to reshape a host's microbial community. However, the role of the host's habitat and environment, which could be pivotal in communities with shifting niche space and habitat filters, is often overlooked in host-microbe-pathogen interactions. Recognizing the importance of these factors, I employed a field-based approach to understand microbial community dynamics in the presence of disease. To address the influence of geographical location, I conducted an analysis involving healthy and infected oysters …

Proknow: Process Knowledge For Safety Constrained And Explainable Question Generation For Mental Health Diagnostic Assistance, Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit Sheth

Publications

Current Virtual Mental Health Assistants (VMHAs) provide counseling and suggestive care. They refrain from patient diagnostic assistance because of a lack of training on safety-constrained and specialized clinical process knowledge (Pro-Know). In this work, we define ProKnow as an ordered set of information that maps to evidence-based guidelines or categories of conceptual understanding to experts in a domain. We also introduce a new dataset of diagnostic conversations guided by safety constraints and ProKnow that healthcare professionals use (ProKnow-data). We develop a method for natural language question generation (NLG) that collects diagnostic information from the patient interactively (ProKnow-algo). We demonstrate the …

Knowledge Graph Guided Semantic Evaluation Of Language Models For User Trust, Kaushik Roy, Tarun Garg, Vedant Palit, Yuxin Zi, Vignesh Narayanan, Amit Sheth

Publications

A fundamental question in natural language processing is - what kind of language structure and semantics is the language model capturing? Graph formats such as knowledge graphs are easy to evaluate as they explicitly express language semantics and structure. This study evaluates the semantics encoded in the self-attention transformers by leveraging explicit knowledge graph structures. We propose novel metrics to measure the reconstruction error when providing graph path sequences from a knowledge graph and trying to reproduce/reconstruct the same from the outputs of the self-attention transformer models. The opacity of language models has an immense bearing on societal issues of …

Tutorial - Shodhguru Labs: Knowledge-Infused Artificial Intelligence For Mental Healthcare, Kaushik Roy

Publications

Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing after realizing the importance of early interventions for patients with chronic mental health (MH) conditions. Social media (SocMedia) emerged as the go-to platform for supporting patients seeking MHCare. The creation of peer-support groups without social stigma has resulted in patients transitioning from clinical settings to SocMedia supported interactions for quick help. Researchers started exploring SocMedia content in search of cues that showcase correlation or causation between different MH conditions to design better interventional strategies. User-level Classification-based AI systems were designed to leverage diverse SocMedia data from various MH conditions, …

Artificial Intelligence-Enabled Exploratory Cyber-Physical Safety Analyzer Framework For Civilian Urban Air Mobility, Md. Shirajum Munir, Sumit Howlader Dipro, Kamrul Hasan, Tariqul Islam, Sachin Shetty

VMASC Publications

Urban air mobility (UAM) has become a potential candidate for civilization for serving smart citizens, such as through delivery, surveillance, and air taxis. However, safety concerns have grown since commercial UAM uses a publicly available communication infrastructure that enhances the risk of jamming and spoofing attacks to steal or crash crafts in UAM. To protect commercial UAM from cyberattacks and theft, this work proposes an artificial intelligence (AI)-enabled exploratory cyber-physical safety analyzer framework. The proposed framework devises supervised learning-based AI schemes such as decision tree, random forests, logistic regression, K-nearest neighbors (KNN), and long short-term memory (LSTM) for predicting and …

Joint Congestion And Contention Avoidance In A Scalable Qos-Aware Opportunistic Routing In Wireless Ad-Hoc Networks, Ali Parsa, Neda Moghim, Sasan Haghani

VMASC Publications

Opportunistic routing (OR) can greatly increase transmission reliability and network throughput in wireless ad-hoc networks by taking advantage of the broadcast nature of the wireless medium. However, network congestion is a barrier in the way of OR's performance improvement, and network congestion control is a challenge in OR algorithms, because only the pure physical channel conditions of the links are considered in forwarding decisions. This paper proposes a new method to control network congestion in OR, considering three types of parameters, namely, the backlogged traffic, the traffic flows' Quality of Service (QoS) level, and the channel occupancy rate. Simulation results …

An Efficient Lightweight Provably Secure Authentication Protocol For Patient Monitoring Using Wireless Medical Sensor Networks, Garima Thakur, Sunil Prajapat, Pankaj Kumar, Ashok Kumar Das, Sachin Shetty

VMASC Publications

The refurbishing of conventional medical network with the wireless medical sensor network has not only amplified the efficiency of the network but concurrently posed different security threats. Previously, Servati and Safkhani had suggested an Internet of Things (IoT) based authentication scheme for the healthcare environment promulgating a secure protocol in resistance to several attacks. However, the analysis demonstrates that the protocol could not withstand user, server, and gateway node impersonation attacks. Further, the protocol fails to resist offline password guessing, ephemeral secret leakage, and gateway-by-passing attacks. To address the security weaknesses, we furnish a lightweight three-factor authentication framework employing the …

Design Of Robust Blockchain-Envisioned Authenticated Key Management Mechanism For Smart Healthcare Applications, Siddhant Thapiyal, Mohammad Wazid, Devesh Pratap Singh, Ashok Kumar Das, Sachin Shetty

VMASC Publications

The healthcare sector is a very crucial and important sector of any society, and with the evolution of the various deployed technologies, like the Internet of Things (IoT), machine learning and blockchain it has numerous advantages. However, in this section, the data is much more vulnerable than others, because the data is strictly private and confidential, and it requires a highly secured framework for the transmission of data between entities. In this article, we aim to design a blockchain-envisioned authentication and key management mechanism for the IoMT-based smart healthcare applications (in short, we call it SBAKM-HS). We compare the various …

A Structured Narrative Prompt For Prompting Narratives From Large Language Models: Sentiment Assessment Of Chatgpt-Generated Narratives And Real Tweets, Christopher J. Lynch, Erik J. Jensen, Virginia Zamponi, Kevin O'Brien, Erika Frydenlund, Ross Gore

VMASC Publications

Large language models (LLMs) excel in providing natural language responses that sound authoritative, reflect knowledge of the context area, and can present from a range of varied perspectives. Agent-based models and simulations consist of simulated agents that interact within a simulated environment to explore societal, social, and ethical, among other, problems. Simulated agents generate large volumes of data and discerning useful and relevant content is an onerous task. LLMs can help in communicating agents' perspectives on key life events by providing natural language narratives. However, these narratives should be factual, transparent, and reproducible. Therefore, we present a structured narrative prompt …

Reshaping The Narrative, Crystal Little Owl

Graduate Student Portfolios, Professional Papers, and Capstone Projects

No abstract provided.

The Commercialization And Imposed Voices Of Femininity In The Summer I Turned Pretty, Danielle Mcclelland

Theses, Dissertations and Culminating Projects

This essay seeks to explore and analyze the novel The Summer I Turned Pretty by Jenny Han. The novel’s ability to maintain relevance as a piece of popular YA literature despite its release over ten years ago makes it an interesting title to study because it demonstrates the concept of a “formulaic text,” which is defined as having, “...simple syntax, frequent repetition, and explicit authorial interpretations” (Smith 31). Additionally, Han’s novel displays the commercialization of femininity and enforces the common heteronormative relationship narrative displayed in this strain of romantic fiction. This essay aims to explore these social phenomena and how …

Risk Assessment And Geographic Impact Of Virtual Power Purchase Agreements And Unbundled Renewable Energy Certificates On Greenhouse Gas Abatement, Keyshon L. Bachus

Theses and Dissertations

Fossil fuel-generated energy consumption via electricity purchased by organizations makes up much of worldwide greenhouse gas (GHG) emissions. Commercial and industrial users consume more than two-thirds of electricity. Companies with warehouses, offices, data centers, and other facilities that engage in industrial processes consume significant amounts of purchased energy to power their operations. Most organizations do not generate electricity or have operational control of their energy generation; instead, they purchase it from public utilities and other providers. Many organizations are making climate commitments to support the Paris Agreement’s Net-Zero pledge by reducing or offsetting their indirect “Scope 2” greenhouse emissions and …

Characterization Of Water Quality In Anzalduas Dam Reservoir Using Patterns Of Salinity, Maria G. Castillo

Theses and Dissertations

A database containing salinity and climatology data collected at Anzalduas Dam’s Reservoir, Mier Monitoring Station (Upper water from Anzalduas Dam) and Retamal Monitoring Station (Lower water from Anzalduas Dam) in the lower Rio Grande River for the September through December 2016 time period was compiled. The information obtained on the water quality of Anzalduas Dam was used as a base to describe corrective measurements needed for its water recuperation, improvement and/or contamination’s prevention. The study aims to illustrate the relationship between water quality, specifically focusing on salinity concentrations and its relationship with temperature, evaporation, and the volumetric rate of water …

Preparing Special Educators And Team Members To Support Students With Severe Behaviors In Schools, Tamara Ann Hoffer

Theses and Dissertations

The critical nationwide teacher shortage (Billingsley et al., 2019), puts increasing pressure on educator preparation programs to train candidates in less time. Special education personnel are more likely to leave the field when they feel inadequately prepared for service (Mason-Williams et al., 2020), and are less likely to leave the field when they feel connected with schools that promote inclusion, multi-disciplinary teaming, and collective responsibility for all students (Billingsley et al., 2019). Educators perceive their training inadequate for supporting children who demonstrate disruptive and destructive behaviors in the classroom (Mason-Williams et al., 2020). Despite significant research for evidence-based methods for …

Application Of Blockchain Technology And Integration Of Differential Privacy: Issues In E-Health Domains, David Isie

Theses and Dissertations

A systematic and comprehensive review of critical applications of Blockchain Technology with Differential Privacy integration lies within privacy and security enhancement. This paper aims to highlight the research issues in the e-Health domain (e.g., EMR) and to review the current research directions in Differential Privacy integration with Blockchain Technology.Firstly, the current state of concerns in the e-Health domain are identified as follows: (a) healthcare information poses a high level of security and privacy concerns due to its sensitivity; (b) due to vulnerabilities surrounding the healthcare system, a data breach is common and poses a risk for attack by an adversary; …

Meteorological Drivers Of Blowing Snow Events At Arm North Slope Alaska Site, Talia Dawn Kurtz

Theses and Dissertations

Blowing snow is common in polar regions. Blowing snow and associated sublimation influence the surface energy budget and surface mass balance. For example, it is believed to play a critical role in the evolution of Arctic sea-thickness by reducing the amount of snow accumulated on the sea-ice surface, which is a pressing issue with the Arctic Amplification. Currently, most models do not include blowing snow as there has not been widespread validation of blowing snow parameterizations. Fortunately, the Atmospheric Radiation Measurements (ARM) North Slope Alaska (NSA) site located in Utqiaġvik, Alaska contains instrumentation that allows for the detection of this …

Evaluation Of Water Content Measurement Model 3000 Probe (Wcm-3000) Using The Nasa Impacts Dataset, Jennifer Rose Moore

Theses and Dissertations

The introduction of the Water Content Measurement probe (WCM-3000) onto the NASA P-3 aircraft during the NASA Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) 2022 and 2023 field campaign raises opportunity for measurement comparisons between liquid water content instruments. Instrument comparisons are done between the King hot-wire probe, the WCM-3000, and the Cloud Droplet Probe (CDP) using the IMPACTS 2023 field campaign data. Case studies are analyzed in three cloud conditions; liquid water clouds with droplets less than 50 µm, supercooled liquid water clouds with droplets less than 50 µm, and ice phase clouds. The WCM-3000 and …

Obtaining The Transfer Function Of A Camera Mount Using Ansys And Matlab, Ikechukwu Stanley Nwade

Theses and Dissertations

In this thesis, the transfer function of a camera mount is obtained using ANSYS and MATLAB. In a heads-up display (HUD) application, achieving precise image registration requires careful consideration of the camera's position relative to the vehicle. Vibrations can alter the camera's position, with tilt being the most impactful due to its increased displacement effect as objects are further away. This research tackles vibration by predicting the position of the camera using transfer function. To determine the transfer function for complex structures, such as camera mounts, this study aims to first establish a transfer function for a simpler model, like …

Valuation Of Potential Pumped Hydro Energy Storage Projects Based On Known Economic And Service Criteria, Seth Lykins

Theses and Dissertations

Clean and sustainable energy sources must comprise a greater share of the global energy portfolio in the future, in order to support a growing population while reducing the anthropogenic effects of traditional energy production. Solar and wind-based generation methods, frontrunners of the energy transition, are intermittent by nature. This presents a challenge in the effort to replace dispatchable fossil fuels with a chiefly renewable energy portfolio. Yet this challenge can be met with appropriate storage, which must be scalable, reliable, sustainable, and financially feasible through implementation of multiple services. Pumped hydro energy storage systems (PHESS), with its colossal scale and …

Experimental Investigation Of Thermal Maturation Processes Of Bakken Formation And Their Impact On Organic Matter And Mechanical Properties, Chioma Judith Onwumelu

Theses and Dissertations

Early development of the Bakken Petroleum System recognized the significance of source rock maturation and the onset of oil generation in determining the geographic limits of production. This research project aims to confirm the role of thermal maturation as the dominant mechanism in controlling the oil generation of the Bakken Shale. Additionally, the purpose ofthis research is to test the influence of thermal maturation on the geochemical and mechanical properties of the Bakken Shale. To conduct these investigations, samples from 2-BRENDEN 9-33 1-M, a well in the North Dakota part of the Williston Basin that has experienced the least thermal …