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The Role Of Women Librarian In Eradicating Gender Based Violence In Rivers State, Nigeria., Roseline Omolola Oladipupo, Eberechi Ejuh, Princess Solomon, Princess Jan 2024

The Role Of Women Librarian In Eradicating Gender Based Violence In Rivers State, Nigeria., Roseline Omolola Oladipupo, Eberechi Ejuh, Princess Solomon, Princess

Library Philosophy and Practice (e-journal)

The study examined the roles of women librarians in eradicating gender based violence in Rivers State, Nigeria. Four (4) objectives were formulated to guide this study. A descriptive survey design was adopted for the research. The population for the study comprised 70 women Librarians in Rivers State. Census sampling was adopted. The instrument for data collection was questionnaire. Mean and percentage were used for analyzing the elicited responses. Based on the findings, the various forms of gender based violence are; emotional violence, sexual violence, physical violence, socio-economic violence, amongst others. The study also identified the roles of women librarians in …

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The Relationship Between Communication With Coworkers And Job Satisfaction Among Teleworkers: The Moderating Role Of Communication Modality, Madison L. Mariano Jan 2024

The Relationship Between Communication With Coworkers And Job Satisfaction Among Teleworkers: The Moderating Role Of Communication Modality, Madison L. Mariano

Master's Theses

Teleworking has become increasingly prevalent due to public health concerns and advancements in communication technologies. While organizations should take steps to promote job satisfaction among teleworkers, there is little research on the predictors of job satisfaction among full-time teleworkers. Specifically, few studies have focused on how coworker communication might impact job satisfaction among full-time teleworkers. This study focused on this gap in the literature by examining the relationship between the frequency of communication with coworkers and job satisfaction and the moderating role of communication modality. Communication modality refers to a form of communication technology available to teleworkers, ranging from rich …

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Justice And Equity In Urban Water Allocations And Conservation Solutions: A Case Study Of Non-Traditional Housing Dwellers, Matthew J. Mangoni Jan 2024

Justice And Equity In Urban Water Allocations And Conservation Solutions: A Case Study Of Non-Traditional Housing Dwellers, Matthew J. Mangoni

Master's Theses

Access to water is a human right. With droughts becoming more frequent and severe, equitable and just access to fresh water is a critical concern for policymakers and regulators. Allocation-based (AB) water rates are used widely to incentivize conservation. Previous authors document benefits of this approach for single family homes (SFH) in urban areas. People living in homeowners’ associations (HOAs) or multi-family homes and renters – commonly grouped as non-traditional housing (NTH) tend to face barriers to understanding or controlling water use and costs. This thesis investigates the equity and effectiveness of 1) AB water rate structuring and 2) a …

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Temporal Changes In The Surface Chemistry And Topography Of Reactive Ion Plasma-Treated Poly(Vinyl Alcohol) Alter Endothelialization Potential, Ryan A. Faase, Novella M. Keeling, Justin S. Plaut, Christian Leycam, Gabriela Acevedo Munares, Monica T. Hinds, Joe E. Baio, Patrick L. Jurney Jan 2024

Temporal Changes In The Surface Chemistry And Topography Of Reactive Ion Plasma-Treated Poly(Vinyl Alcohol) Alter Endothelialization Potential, Ryan A. Faase, Novella M. Keeling, Justin S. Plaut, Christian Leycam, Gabriela Acevedo Munares, Monica T. Hinds, Joe E. Baio, Patrick L. Jurney

Faculty Research, Scholarly, and Creative Activity

Synthetic small-diameter vascular grafts (<6 mm) are used in the treatment of cardiovascular diseases, including coronary artery disease, but fail much more readily than similar grafts made from autologous vascular tissue. A promising approach to improve the patency rates of synthetic vascular grafts is to promote the adhesion of endothelial cells to the luminal surface of the graft. In this study, we characterized the surface chemical and topographic changes imparted on poly(vinyl alcohol) (PVA), an emerging hydrogel vascular graft material, after exposure to various reactive ion plasma (RIP) surface treatments, how these changes dissipate after storage in a sealed environment at standard temperature and pressure, and the effect of these changes on the adhesion of endothelial colony-forming cells (ECFCs). We showed that RIP treatments including O2, N2, or Ar at two radiofrequency powers, 50 and 100 W, improved ECFC adhesion compared to untreated PVA and to different degrees for each RIP treatment, but that the topographic and chemical changes responsible for the increased cell affinity dissipate in samples treated and allowed to age for 230 days. We characterized the effect of aging on RIP-treated PVA using an assay to quantify ECFCs on RIP-treated PVA 48 h after seeding, atomic force microscopy to probe surface topography, scanning electron microscopy to visualize surface modifications, and X-ray photoelectron spectroscopy to investigate surface chemistry. Our results show that after treatment at higher RF powers, the surface exhibits increased roughness and greater levels of charged nitrogen species across all precursor gases and that these surface modifications are beneficial for the attachment of ECFCs. This study is important for our understanding of the stability of surface modifications used to promote the adhesion of vascular cells such as ECFCs.

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Scalable And Consolidated Microbial Platform For Rare Earth Element Leaching And Recovery From Waste Sources, Nathan M. Good, Christina S. Kang-Yun, Morgan Z. Su, Alexa M. Zytnick, Colin C. Barber, Huong N. Vu, Joseph M. Grace, Hoang H. Nguyen, Wenjun Zhang, Elizabeth Skovran, Maohong Fan, Dan M. Park, Norma Cecilia Martinez-Gomez Jan 2024

Scalable And Consolidated Microbial Platform For Rare Earth Element Leaching And Recovery From Waste Sources, Nathan M. Good, Christina S. Kang-Yun, Morgan Z. Su, Alexa M. Zytnick, Colin C. Barber, Huong N. Vu, Joseph M. Grace, Hoang H. Nguyen, Wenjun Zhang, Elizabeth Skovran, Maohong Fan, Dan M. Park, Norma Cecilia Martinez-Gomez

Faculty Research, Scholarly, and Creative Activity

Chemical methods for the extraction and refinement of technologically critical rare earth elements (REEs) are energy-intensive, hazardous, and environmentally destructive. Current biobased extraction systems rely on extremophilic organisms and generate many of the same detrimental effects as chemical methodologies. The mesophilic methylotrophic bacterium Methylobacterium extorquens AM1 was previously shown to grow using electronic waste by naturally acquiring REEs to power methanol metabolism. Here we show that growth using electronic waste as a sole REE source is scalable up to 10 L with consistent metal yields without the use of harsh acids or high temperatures. The addition of organic acids increases …

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Unveiling The Cognitive Impact: An Exploratory Study On Food Insecurity And Value-Driven Attentional Capture, Nichole S. Hogoboom Jan 2024

Unveiling The Cognitive Impact: An Exploratory Study On Food Insecurity And Value-Driven Attentional Capture, Nichole S. Hogoboom

Master's Theses

Food insecurities have been shown to lead to serious negative health outcomes such as increased risk for diabetes and obesity in adulthood, food-related mental health and behavioral issues, all of which can have a crossover effect in many areas of a person’s life. This experiment explores whether previous history of food insecurity is associated with how people allocate attention to pictures of food; whether they are prioritizing or ignoring food stimuli in their environment. We hypothesized that the severity of food insecurity experienced in childhood would correlate with attentional bias towards food images, and that how hungry or thirsty participants …

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Uncovering Weaknesses In Autonomous Driving: A Formal Approach To Adversarial Scenario Generation And Falsification, Carlos O. Hernandez Jan 2024

Uncovering Weaknesses In Autonomous Driving: A Formal Approach To Adversarial Scenario Generation And Falsification, Carlos O. Hernandez

Master's Theses

Autonomous vehicles utilize advanced safety features like proactive driving assistance and pre-collision alerts to minimize the risk of accidents. However, evaluating the correct functionality of these systems is complex. First, safety systems are highly sophisticated, integrating software, networking, and hardware components, many of which rely on advanced artificial intelligence and machine learning algorithms. Second, an array of dynamic factors, including numerous actors and physical variables, can influence the performance of safety mechanisms during critical scenarios. Each actor’s unique behavior introduces unpredictability, making it difficult to anticipate future states and outcomes. This thesis presents a comprehensive framework for testing autonomous vehicle …

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Effort Expectancy As Correlate Of Electronic Health Information Resources Use By Clinical Sciences Students In University Of Ibadan, Oyo State, Nigeria, Olutoyin Olukemi Oso Dr, Seun Gbolahan Kolawole Jan 2024

Effort Expectancy As Correlate Of Electronic Health Information Resources Use By Clinical Sciences Students In University Of Ibadan, Oyo State, Nigeria, Olutoyin Olukemi Oso Dr, Seun Gbolahan Kolawole

Library Philosophy and Practice (e-journal)

This study examined effort expectancy as correlate of electronic health information resources used by clinical sciences students in University of Ibadan, Oyo state, Nigeria. The study focused on purpose, frequency of use, effort expectancy and facilitating condition on the use of electronic health information resources use. The design of the study is descriptive survey. The population of the study was four-hundred and ten (410) students. A sample fraction of 0.61 was chosen and out of the population, 250 students were selected as the sample-size from the three departments that made up the Faculty of Clinical Sciences. The proportionate stratified random …

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Sjsu Erfa News, Winter 2024, San Jose State University, Emeritus And Retired Faculty Association Jan 2024

Sjsu Erfa News, Winter 2024, San Jose State University, Emeritus And Retired Faculty Association

Emeritus and Retired Faculty Association (ERFA) Newsletter

Volume 38, No. 2

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Suburban Bay Area City Approaches To Diversity, Equity, And Inclusion (Dei), Arianna Bush Jan 2024

Suburban Bay Area City Approaches To Diversity, Equity, And Inclusion (Dei), Arianna Bush

Master's Projects

The ultimate goal of government is to serve the community for the greater good. Creating an inclusive and representative environment for those working in government and for the population they serve will improve many aspects of public service. In recent decades, Diversity, Equity, and Inclusion (DEI) have been increasingly prioritized as America has become increasingly diverse. However, this effort intensified in 2020 after the murder of George Floyd and the subsequent Black Lives Matter (BLM) protests. “Three years after Floyd's death and the movement hit the streets, 74% of Black executives said they saw positive change in hiring, retention, and …

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Predicting Remaining Useful Life Of Turbofan Engines On Cmapss And N-Cmapss Using Deep Recurrent Neural Networks, Samaikya Tippareddy Jan 2024

Predicting Remaining Useful Life Of Turbofan Engines On Cmapss And N-Cmapss Using Deep Recurrent Neural Networks, Samaikya Tippareddy

Master's Projects

Aircraft engines are susceptible to failure at multiple points over their lifespan and need replacement or repairs. The ability to proactively determine how long an engine will function helps avoid fatalities and build a reliable prognostic system. To accomplish this, predictive models are being developed using various approaches like physics-based and data-driven techniques. Physics-based models need huge computing power for simulations and domain knowledge for understanding and implementing the models. Alternatively, if we have substantial data for prediction, data-driven models can be used. In this research, we use data-driven approach for engine Remaining-Useful-Life (RUL) prediction on the NASA Commercial Modular …

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Parallel Powerplay: Optimizing Performance With Mapreduce And Kubernetes Fusion, Shradha Chaturvedi Jan 2024

Parallel Powerplay: Optimizing Performance With Mapreduce And Kubernetes Fusion, Shradha Chaturvedi

Master's Projects

The combination of MapReduce (MR) & Kubernetes (K8s) strengths is not explored, and this study leverages the synergy between the two frameworks to meet the growing demands of data-intensive applications. First, this report elaborates on the existing literature work to understand the pros and cons of using MR and K8s, in what use cases these frameworks come to use, and investigates the effectiveness of research studies that explore the combination. This study aims to research the efficacy of the fusion of MR and K8s, considering these factors - application use case, infrastructure design, resource allocation, load balancing, and hypertuning parameters …

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Multiclass Lung Disease Classification In Chest X-Ray Images: A Fine-Tuned Hybrid Cnn-Gnn Approach Using Transfer Learning And Feature Extraction, Vinay Vilas Khade Jan 2024

Multiclass Lung Disease Classification In Chest X-Ray Images: A Fine-Tuned Hybrid Cnn-Gnn Approach Using Transfer Learning And Feature Extraction, Vinay Vilas Khade

Master's Projects

In clinical practice, it is still difficult to accurately diagnose lung diseases from chest X-ray (CXR) images. In this study, we propose a new hybrid method for identifying several types of lung diseases using CXR images by combining Convolutional Neural Networks (CNNs) with Graph Neural Networks (GNNs). The framework of our proposed methodology takes advantage of CNN’s ability to extract detailed visual features and GNN’s capacity to understand complex relationships between these features, enabling comprehensive analysis in a multi-class classification setting of COVID-19, pneumonia, and normal lung conditions. We used multiple transfer learning models such as DenseNet201, VGG16, VGG19, MobileNetV2, …

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Gesture Recognition Dynamics: Unveiling Video Patterns With Deep Learning, Nithish Reddy Agumamidi Jan 2024

Gesture Recognition Dynamics: Unveiling Video Patterns With Deep Learning, Nithish Reddy Agumamidi

Master's Projects

This paper, Gesture Recognition Dynamics: Revealing Video Patterns with Deep Learning, explores the combination of Long Short-Term Memory(LSTM) with Convolutional Neural Network(CNN) in the identification of convoluted human activities. The study assesses LSTM’s capability to capture temporal dependencies and CNN’s potential to apprehend and extract spatial characteristics to detect the gestures from UCF50. It further evaluates the architecture linkage of LSTM and CNN, which will improve the analytical capacity to interpret and validate dynamic gesture trends. The paper utilizes Mediapipe, an open-source framework created by Google specifically designed for extracting poses. The Mediapipe tool is well-designed to track important body …

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Image Segmentation By Convolutional Neural Networks In Coral Resilience Research, Jennifer Benbow Jan 2024

Image Segmentation By Convolutional Neural Networks In Coral Resilience Research, Jennifer Benbow

Master's Projects

As ocean temperatures rise, coral bleaching is becoming more frequent and severe. Selective breeding experiments show promise for enhancing coral resilience, but scaling these projects is hindered by the labor-intensive nature of taking numerous time series measurements as corals grow. Automating this process with computer vision is one solution to this bottleneck, and to our knowledge, no such tool exists at present. To fill this gap, we have trained a set of machine learning models, based on the Mask R-CNN framework, for segmenting juvenile corals in lab-based coral resilience research. This work shows that retraining the Mask R-CNN architecture through …

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An Empirical Analysis Of Adversarial Attacks In Federated Learning, Rohit Mapakshi Jan 2024

An Empirical Analysis Of Adversarial Attacks In Federated Learning, Rohit Mapakshi

Master's Projects

In this paper, we experimentally analyze the susceptibility of selected Federated Learning (FL) systems to the presence of adversarial clients. We find that temporal attacks significantly affect model performance in FL, especially when the adversaries are active throughout and during the ending rounds of the FL process. Machine Learning models like Multinominal Logistic Regression, Support Vector Classifier (SVC), Neural Network models like Multilayer Perceptron (MLP), Convolution Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM) and tree-based machine learning models like Random Forest and XGBoost were considered. These results highlight the effectiveness of temporal attacks and the need …

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Load Balancing For Cloud-Based Applications, Nitish Ranjan Jan 2024

Load Balancing For Cloud-Based Applications, Nitish Ranjan

Master's Projects

Effective load balancing is critical in ensuring optimal resource utilization, reducing latency, and improving the overall performance of distributed systems. This report commences with a comprehensive literature review on existing load-balancing algorithms, examining their methodologies, strengths, and limitations within various computing environments, including cloud computing, data centers, and network traffic management. Despite significant advancements in this field, the dynamic nature of distributed systems, coupled with the ever-increasing demand for efficient data processing, poses ongoing challenges. In response, this study proposes a novel load-balancing algorithm to address these contemporary challenges. The approach leverages dynamic and hybrid load balancing, distinguishing it from …

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2023-2024 Annual Report, Society Of American Archivists Student Chapter Jan 2024

2023-2024 Annual Report, Society Of American Archivists Student Chapter

Annual Reports

The 2023-2024 Annual Report records the activities of the San Jose State University Society of American Archivists Student Chapter (SAASC). The report lists SAASC members who are also individual members of SAA, provides a summary of the chapter’s events for the year, and updates to chapter outreach and visibility. The report also includes information on the publication of Archeota, the SAASC open source digital publication.

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Perturbation Walking Effects On Prefrontal Cortical Activation And Walking Performance In Older Women With And Without Osteoarthritis: A Fnirs Study, Alka Bishnoi, Yang Hu, Manuel E. Hernandez Jan 2024

Perturbation Walking Effects On Prefrontal Cortical Activation And Walking Performance In Older Women With And Without Osteoarthritis: A Fnirs Study, Alka Bishnoi, Yang Hu, Manuel E. Hernandez

Faculty Research, Scholarly, and Creative Activity

Introduction: Perturbation walking (PW) has been shown to improve gait, however its effect on the cortical control of gait might provide insights on neural mechanisms underlying falls in adults with osteoarthritis. The objective of this study is to investigate the effect of PW on prefrontal cortical (PFC) activation in older women with (OA) and without osteoarthritis (HOA). We hypothesized that there would be an increase in PFC activation during PW relative to comfortable walking (CW) and higher increase in PFC activation during PW in HOA compared to OA. Methods: Twenty community-dwelling older women (66.7 ± 5.41 years old) walked on …

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Effect Of Fermentation, Malting And Ultrasonication On Sorghum, Mopane Worm And Moringa Oleifera: Improvement In Their Nutritional, Techno-Functional And Health Promoting Properties, Mpho Sebabiki Maleke, Oluwafemi Ayodeji Adebo, Jonathan Wilkin, Moira Ledbetter, Xi Feng, John Gieng, Tumisi Beiri Jeremiah Molelekoa Jan 2024

Effect Of Fermentation, Malting And Ultrasonication On Sorghum, Mopane Worm And Moringa Oleifera: Improvement In Their Nutritional, Techno-Functional And Health Promoting Properties, Mpho Sebabiki Maleke, Oluwafemi Ayodeji Adebo, Jonathan Wilkin, Moira Ledbetter, Xi Feng, John Gieng, Tumisi Beiri Jeremiah Molelekoa

Faculty Research, Scholarly, and Creative Activity

Background: Food processing offers various benefits that contribute to food nutrition, food security and convenience. This study investigated the effect of three different processes (fermentation, malting and ultrasonication) on the nutritional, techno-functional and health-promoting properties of sorghum, mopane worm and Moringa oleifera. Methods: The fermented and malted flours were prepared at 35°C for 48 h, and for ultrasonication, samples were subjected to 10 min at 4°C with amplitudes of 40–70 Hz. The biochemical, nutritional quality and techno-functional properties of the obtained flours were analysed using standard procedures. Results: Fermentation resulted in significantly lower pH and higher titratable acidity in sorghum …

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Conditional Variational Transformer For Bearing Remaining Useful Life Prediction, Yupeng Wei, Dazhong Wu Jan 2024

Conditional Variational Transformer For Bearing Remaining Useful Life Prediction, Yupeng Wei, Dazhong Wu

Faculty Research, Scholarly, and Creative Activity

Transformer, built on the self-attention mechanism, has been demonstrated to be effective in numerous applications. However, in the context of prognostics and health management, the self-attention mechanism in the Transformer is not effective in selecting the most important features that are highly correlated with the remaining useful life (RUL) of a component. To address this issue, we developed a novel conditional variational transformer architecture consisting of four networks: two generative networks and two predictive networks. The first generative network uses the transformer encoder–decoder as well as both condition monitoring data and RUL as input to extract the most important features …

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The Effect Of A Neonatal Palliative Care Education Program In Increasing Knowledge And Communication Self-Efficacy Among Nicu Nurses, Shiou-Huei Joy Wang Jan 2024

The Effect Of A Neonatal Palliative Care Education Program In Increasing Knowledge And Communication Self-Efficacy Among Nicu Nurses, Shiou-Huei Joy Wang

Doctoral Projects

Background: Neonatal palliative care is crucial to providing comprehensive, high-quality care to neonates with life-limiting or life-threatening health conditions and their families. One significant barrier to the inconsistent provision of neonatal palliative care is the lack of education. This project aimed to deliver an education training program to increase neonatal palliative care knowledge and self-efficacy in NICU nurses. Method: A pre-post-test study design was used to examine the efficacy of an educational training program on NICU nurses’ knowledge and communication self-efficacy in neonatal palliative care. A post-test was administered immediately after the training and again four weeks later to evaluate …

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Mitigating Risk: Predicting H5n1 Avian Influenza Spread With An Empirical Model Of Bird Movement, Fiona Mcduie, Cory T. Overton, Austen A. Lorenz, Elliott L. Matchett, Andrea L. Mott, Desmond A. Mackell, Joshua T. Ackerman, Susan E.W. De La Cruz, Vijay P. Patil, Diann J. Prosser, John Y. Takekawa, Dennis L. Orthmeyer, Maurice E. Pitesky, Samuel L. Díaz-Muñoz, Brock M. Riggs, Joseph Gendreau, Eric T. Reed, Mark J. Petrie, Chris K. Williams Jan 2024

Mitigating Risk: Predicting H5n1 Avian Influenza Spread With An Empirical Model Of Bird Movement, Fiona Mcduie, Cory T. Overton, Austen A. Lorenz, Elliott L. Matchett, Andrea L. Mott, Desmond A. Mackell, Joshua T. Ackerman, Susan E.W. De La Cruz, Vijay P. Patil, Diann J. Prosser, John Y. Takekawa, Dennis L. Orthmeyer, Maurice E. Pitesky, Samuel L. Díaz-Muñoz, Brock M. Riggs, Joseph Gendreau, Eric T. Reed, Mark J. Petrie, Chris K. Williams

Faculty Research, Scholarly, and Creative Activity

Understanding timing and distribution of virus spread is critical to global commercial and wildlife biosecurity management. A highly pathogenic avian influenza virus (HPAIv) global panzootic, affecting 600 bird and mammal species globally and over 83 million birds across North America (December 2023), poses a serious global threat to animals and public health. We combined a large, long-term waterfowl GPS tracking dataset (16 species) with on-ground disease surveillance data (county-level HPAIv detections) to create a novel empirical model that evaluated spatiotemporal exposure and predicted future spread and potential arrival of HPAIv via GPS tracked migratory waterfowl through 2022. Our model was …

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Comparison Of Different Drought Monitoring Indices In Different Climatic Conditions In Iran, Samira Rahnama, Ali Shahidi, Mostafa Yaghoobzadeh, Ali Akbar Mehran Jan 2024

Comparison Of Different Drought Monitoring Indices In Different Climatic Conditions In Iran, Samira Rahnama, Ali Shahidi, Mostafa Yaghoobzadeh, Ali Akbar Mehran

Faculty Research, Scholarly, and Creative Activity

This study evaluates drought in different climate zones (Rasht, Shiraz, and Birjand) in Iran, using meteorological, agricultural, and remote sensing drought indices. For this purpose, NDVI, SAVI, and SR were extracted from Landsat images for 2002 and 2014–2020. Then, these indices were compared with the SPI, SPEI, and PDSI. The results indicate an increase in drought and a decrease in vegetation cover in the study area. In Rasht, where the vegetation cover is high, NDVI and SAVI were equal. In Shiraz and Birjand, where the soil effect is more significant, the distance between these two indices increased, which shows that …

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Sample Sizes For 10 Types Of Qualitative Data Analysis: An Integrative Review, Empirical Guidance, And Next Steps, Amber Wutich, Melissa Beresford, H. Russell Bernard Jan 2024

Sample Sizes For 10 Types Of Qualitative Data Analysis: An Integrative Review, Empirical Guidance, And Next Steps, Amber Wutich, Melissa Beresford, H. Russell Bernard

Faculty Research, Scholarly, and Creative Activity

There has been a recent explosion of articles on minimum sample sizes needed for analyzing qualitative data. The purpose of this integrated review is to examine this literature for 10 types of qualitative data analysis (5 types of saturation and 5 common methods). Building on established reviews and expanding to new methods, our findings extract the following sample size guidelines: theme saturation (9 interviews; 4 focus groups), meaning saturation (24 interviews; 8 focus groups), theoretical saturation (20–30+ interviews), metatheme saturation (20–40 interviews per site), and saturation in salience (10 exhaustive free lists); two methods where power analysis determines sample size: …

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Posttraumatic Symptoms As Predictors Of Mobile App Engagement: An Evaluation Of Usage Data From Public Users Of An App For Military Sexual Trauma, Shilpa Hampole Jan 2024

Posttraumatic Symptoms As Predictors Of Mobile App Engagement: An Evaluation Of Usage Data From Public Users Of An App For Military Sexual Trauma, Shilpa Hampole

Master's Theses

Veterans who have experienced military sexual trauma (MST) often face barriers to help-seeking. Mental health mobile applications (apps) such as Beyond MST, developed by the National Center for PTSD, can expand access to evidence-based coping tools, psychoeducation, and resources. However, user engagement is crucial for these apps to be effective. Researchers are exploring factors impacting app engagement, with emerging evidence suggesting that symptom severity may play a key role. This study examined whether the severity of posttraumatic stress disorder (PTSD) symptoms and posttraumatic negative cognitions, as well as level of well-being, are associated with app engagement. Anonymous app usage data …

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The Moderating Role Of Job Insecurity On The Relationship Between Psychological Contract Breach And Employee Turnover Intention, Madeline R. Clark Jan 2024

The Moderating Role Of Job Insecurity On The Relationship Between Psychological Contract Breach And Employee Turnover Intention, Madeline R. Clark

Master's Theses

The intentions for an employee to voluntarily leave their position at an organization has been widely researched, given it is a strong determinant of actual employee turnover. Psychological contract breach (PCB), an employee’s perception that their organization has failed to fulfill its promises or obligations, has been identified as a known predictor of employee turnover intention. While various moderators of the relationship between PCB and turnover intention have been explored in previous research, current literature had yet to examine how the job insecurity employees experience might be associated with this relationship. Therefore, the present study examined job insecurity as a …

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The Role Of Nature As A Protective Factor In Father-Child Relationships, Sarah J. Barker Jan 2024

The Role Of Nature As A Protective Factor In Father-Child Relationships, Sarah J. Barker

Master's Theses

The present study strived to understand how fathers spend time with their children outdoors and how this shared time together may positively influence their relationship within the Family-Based Nature Activities Theoretical Framework. The objectives of this thesis are to understand more about (a) Why fathers participate in outdoor activities with their children; and (b) How spending time outdoors with their children influences their relationship. Participants included 26 fathers (M=40.6 years old) and their children between the ages of 5-12 years old. All urban fathers resided on the West Coast, while rural fathers lived in the southeast United States. Participants were …

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Assumptions, Resources, And Inputs To Case Management: Implications For California’S Regional Center System, Jonathan Flint Jan 2024

Assumptions, Resources, And Inputs To Case Management: Implications For California’S Regional Center System, Jonathan Flint

Master's Projects

This project adds to knowledge of case management assumptions, resources, and inputs for California’s Regional Center system by surveying members of the Service Access and Equity working group, formed by the Department of Developmental Services (DDS). It recommends development of a logic model to evaluate case management activities because their intended societal impacts are difficult to directly measure. Additionally, it adds to the debate on health equity and racial disparities in Medicaid long-term services and supports (LTSS). In 1969, passage of the Lanterman Developmental Disabilities Services Act (The Lanterman Act) led to the first and still only entitlement to community-based …

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Deep-Learning Approaches To Predict Remaining Useful Life Of Hard Disks, Rohan Mohapatra Jan 2024

Deep-Learning Approaches To Predict Remaining Useful Life Of Hard Disks, Rohan Mohapatra

Master's Projects

On a daily basis, data centers process huge volumes of data using inexpensive hard disks. Data stored in these disks serve a range of critical functional needs from financial, and healthcare to aerospace. As such, premature disk failure and consequent loss of data can be catastrophic. To mitigate the risk of failures, cloud storage providers perform condition-based monitoring and replace hard disks before they fail. By estimating the remaining useful life (RUL) of hard disk drives, one can predict the time-to-failure of a particular device and replace it at the right time, ensuring maximum utilization whilst reducing operational costs. We …

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