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Spartan Daily, February 13, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 10

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Spartan Daily, February 12, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 9

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Spartan Daily, February 11, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 8

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Staff Attitude, Library Policies And Service Delivery In University Libraries In Ogun State, Nigeria, Ilori Edeole Maria Mrs, Owolabi Ruth O Dr, Oden Abigail N. Mrs, Ogungbade Aderonke A. Mrs

Library Philosophy and Practice (e-journal)

University library services aim to meet the information needs of the university community, fostering learning and research. Quality service, particularly in tangible aspects and reliability, leads to user satisfaction. Staff attitude significantly impacts library service utilization, as does library policy, which guides library operations. The study adopted survey research design. The study population comprised 80,247 university library users in Ogun State, Nigeria. A sample size of 1,513 was determined using the Krejcie and Morgan (1970) method. Universities were stratified into federal, state, and private categories, and respondents were purposively selected. The findings indicate high-quality service delivery in university libraries in …

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Spartan Daily, February 6, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 7

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“Burned Through”: Performing Social Justice In The Academy, Matthew P. Bejar, Saemi Lee, Terilyn C. Shigeno, Leslie K. Larsen

Faculty Research, Scholarly, and Creative Activity

In this chapter, we discuss and interrogate our experiences of infusing social justice into our research, teaching, and service amidst sexism, racism, and other intersectional forms of oppression that are prevalent within the academy and how this tension has tended to elicit performative social justice. First, we situate this chapter by summarizing our individual journeys with social justice in sport and exercise psychology (SEP). Second, we describe our collective journey as former graduate students and early career professionals. Third, we discuss the challenges that we encountered with respect to our social justice work. Fourth, we share the ways that we …

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Spartan Daily, February 5, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 6

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Spartan Daily, February 4, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 5

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Intelligent Blind Crossings For Suburban And Rural Intersections, Shahab Tayeb

Mineta Transportation Institute

Blind intersections in suburban and rural areas pose significant safety challenges due to limited visibility and inadequate infrastructure. This project proposes an innovative solution leveraging the Internet of Vehicles (IoV) paradigm, utilizing connected and autonomous vehicles (CAVs) for seamless communication to enhance safety at these intersections. The research focuses on developing a specialized Road-Side Unit (RSU) system equipped with a Virtual Traffic Light Algorithm implemented on a Field-Programmable Gate Array (FPGA). Key stakeholders, including transportation authorities, vehicle manufacturers, and local communities, stand to benefit from this initiative. The RSU system acts as a critical infrastructure component, facilitating efficient intersection management …

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Death And Disappearance: Measuring Racial Disparities In Mortality And Life Expectancy Among People In State Prisons, United States 2000-2014, Bryan L. Sykes, Ernest K. Chavez, Justin D. Strong

Faculty Research, Scholarly, and Creative Activity

Background Research on carceral institutions and mortality finds that people in prisons and jails have a high risk of death immediately following release from custody and that while incarcerated, racial disparities in prisoner mortality counter observed death patterns among similarly situated non-incarcerated, demographic groups. Yet, many of these studies rely on data prior to the millennium, during the COVID-19 pandemic, or are relegated to a small number or select group of states. In this paper, we explore changes in mortality and life-expectancy among different demographic groups, before and after the Great Recession, across forty-four states that reported deaths in custody …

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Biomechanical Risk Classification In Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute For Occupational Safety And Health Lifting Equation, And Deep Learning, Fatemeh Davoudi Kakhki, Hardik Vora, Armin Moghadam

Faculty Research, Scholarly, and Creative Activity

Repetitive lifting tasks in occupational settings often result in shoulder injuries, impacting both health and productivity. Accurately assessing the biomechanical risk of these tasks remains a significant challenge in occupational ergonomics, particularly within manufacturing environments. Traditional assessment methods frequently rely on subjective reports and limited observations, which can introduce bias and yield incomplete evaluations. This study addresses these limitations by generating and utilizing a comprehensive dataset containing detailed time-series electromyography (EMG) data from 25 participants. Using high-precision wearable sensors, EMG data were collected from eight muscles as participants performed repetitive lifting tasks. For each task, the lifting index was calculated …

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What Tackles Vehicle Ghg Emissions In California: Regional Plan Adoption Or Local Leadership?, Ahoura Zandiatashbar, Serena Alexander, Branka Tatarevic

Faculty Research, Scholarly, and Creative Activity

The California Senate Bill No. 375 (SB 375) serves as a model policy for reducing greenhouse gas (GHG) emissions by integrating transportation and land-use planning through regional and local policies. The 18 California Metropolitan Planning Organizations (MPOs) are tasked with developing Sustainable Communities Strategies (SCS) to guide emissions reductions, often implemented locally through Climate Action Plans (CAPs). However, CAPs are voluntary, and misalignment with SCS objectives can undermine their effectiveness. This study examined 25 California cities using content analysis and regression modeling to explore whether independent local actions, supported by community engagement, activist strategies, and leadership, are more effective than …

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“I Need This Person’S Support To Have A Career” The Material And Emotional Impacts Of Neoliberalism On Trans Collegians’ Classroom Experiences At A Public University, Justin A. Gutzwa, Robert A. Marx

Faculty Research, Scholarly, and Creative Activity

Neoliberal capitalism has undoubtedly impacted every sphere of public education in the United States. As faculty are pushed towards identity-neutral modalities of instruction, students who identify as transgender, non-binary, or other expansive gender identities (trans) are forced to reckon with implicit and explicit power dynamics in classrooms that prioritize White, cisheteropatriarchal modes of knowledge production in nuanced ways. This qualitative study explores the ways neoliberal capitalism impacts the curricular experiences of trans students by centering the power dynamics they encounter through interactions with their professors and their peers. Findings underscore the pernicious nature of the neoliberalization of higher education in …

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Spartan Daily, January 30, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 4

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Spartan Daily, January 29, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 3

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Epicurus And The Buddha On Desire, Andrew Alwood

Comparative Philosophy

The philosophies of Epicurus and the Buddha aim to free us from suffering by helping us to recognize how ignorance and delusion lead us to pursue harmful desires. Since the problem lies in our attitudes, the solution is to change our attitudes. Like doctors healing the sick, they offer therapeutic practical advice, to remove the groundless opinions and the unhealthy desires that cause suffering. Although various misconceptions may lead us to conceive of these two thinkers as quite different with respect to values and ethics, there are remarkable similarities. Indeed, their practical advice for how to live has the same …

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Spartan Daily, January 23, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 164, Issue 1

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Computing Education In African Countries: A Literature Review And Contextualised Learning Materials, Sally Hamouda, Linda Marshall, Kate Sanders, Ethel Tshukudu, Oluwatoyin Adelakun-Adeyemo, Brett A. Becker, Emma R. Dodoo, G. Ayorkor Korsah, Sandani Luvhengo, Oluwakemi Ola, Jack Parkinson, Ismaila Temitayo Sanusi

Faculty Research, Scholarly, and Creative Activity

This report begins with a literature review of computing education in Africa. We found a substantial body of work, scattered over more than 80 venues, which we have brought together here for the first time. Several important themes emerge in this dataset, including the need to contextualise computing education. In the second part of this report we investigate contextualisation further. We present a pilot study, grounded in the literature review, of the development of course materials, sample code, and programming assignments for introductory programming, contextualised for six African countries: Botswana, Egypt, Ghana, Nigeria, South Africa, and Zambia. We include the …

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The Impact Of Artificial Intelligence On Data Privacy: A Risk Management Perspective, Norman Mooradian, Patricia C. Franks, Amitabh Srivastav

Faculty Research, Scholarly, and Creative Activity

Purpose: The purpose of this paper is to increase the artificial intelligence (AI) ethical literacy of information governance professionals by explaining how AI intensifies familiar data privacy issues by virtue of its dependency on data and ability to create new personal information, to explicate emerging privacy enhancing methods and to show their continuity with existing privacy and information governance principles. Design/methodology/approach: The paper uses an interdisciplinary design research methodology that extends current governance frameworks by combining information science, information governance and applied ethics concepts. Three information sources were referenced: 1) academic papers; 2) standards and best practices published by governmental …

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Spherical And Sessile Droplet Dynamics By Fluctuating Hydrodynamics, John B. Bell, Andrew Nonaka, Alejandro L. Garcia

Faculty Research, Scholarly, and Creative Activity

We simulate the mesoscopic dynamics of droplets formed by phase-separated fluids at nanometer scales where thermal fluctuations are significant. Both spherical droplets fully immersed in a second fluid and sessile droplets which are also in contact with a solid surface are studied. Our model combines a Cahn-Hilliard formulation with incompressible fluctuating hydrodynamics; for sessile droplets, the fluid-solid contact angle is specified as a boundary condition. Deterministic simulations with an applied body force are used to measure the droplets' mobility from which a diffusion coefficient is obtained using the Einstein relation. Stochastic simulations are independently used to obtain a diffusion coefficient …

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(Missed) Opportunities To Build Solidarity: A Critical Analysis Of Spanish-English Bilingual Children’S Books, Claudia Rodriguez-Mojica, Allison Briceño

Faculty Research, Scholarly, and Creative Activity

Two-way dual language (TWDL) programs have traditionally served white and non-Black Latinx students, with limited attention to other cultures and races. This limitation can result in the erasure of Afro-Latinx culture from bilingual programs. This study explores the ways Black characters are represented in bilingual picturebooks, which can serve to perpetuate or combat anti-blackness within bilingual education. We completed a critical content analysis of Spanish-English bilingual picturebooks that include Black or Afro-Latinx characters, employing LatCrit and BlackCrit theoretical frameworks to explore how Black characters are positioned. Findings show a significant dearth of bilingual books that include Black or Afro-Latinx characters. …

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Smart: Semantic Mapping And Analysis For Regional Terrain Using Multi-Scale U-Net And Topsis, Rashmi Sonth

Master's Projects

Accurate land use classification is the backbone for urban planning. But with poor quality satellite images, varied landscapes and structures which are changing faster than ever, it becomes a challenge to define clear boundaries and hence to urban planning. This research explores the application of deep-learning model for land use classification and asses the suitability of the land. The proposed model combines a multi-scale U-Net architecture with Transformer blocks applied on a multi-spectral satellite images that improves the semantic segmentation greatly across the urban and rural regions. Additionally, a patch-wise segmentation is applied to overcome the common problem of feature …

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The Role Of Advocacy And Occupational Justice In Increasing The Accessibility Of Parks For Parents With Disabilities, Nathan Burke-Tan

Doctoral Projects

The purpose of this doctoral capstone project was to address ongoing accessibility barriers experienced by adults with disabilities, particularly those in caregiving roles, in public parks and playgrounds in the greater San Diego region. Although many parks meet the minimum requirements of the Americans with Disabilities Act (1990), research shows that caregivers with disabilities continue to encounter obstacles that limit safe, meaningful participation in community spaces (Dalpra, 2022; Fernelius, 2017; Firkin et al., 2024; Movahed et al., 2023; Ogletree et al., 2020; Prellwitz & Skar, 2007). These persistent gaps indicate a need for stronger advocacy and clearer public awareness of …

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From Silos To Synergies: How To Enhance Interdisciplinary Collaboration Among Graduate Students, Jennifer Jimenez

Doctoral Projects

Interprofessional education (IPE) is essential for preparing collaborative healthcare practitioners, yet opportunities at San José State University (SJSU) have been limited, inconsistent, and largely dependent on individual faculty initiative. This capstone project aimed to strengthen IPE at SJSU by assessing institutional capacity and developing feasible, sustainable strategies to enhance exposure and participation across health-related programs. Guided by the Person–Environment–Occupation–Performance (PEOP) model and adult learning theory, the project combined a needs assessment, literature review, and partnership with the Healthy Development Community Clinic (HDCC) to create an instructor implementation guide and student introductory modules for HDCC service-learning onboarding. An IRB-approved mixed-methods faculty …

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Homomorphically Encrypted Faceted Values, Tanmay Singal

Master's Projects

Faceted values prevent the implicit flow of sensitive information by controlling the visibility of program data. They achieve this by maintaining two facets for each variable: a public facet, which is observable, and a private facet, which remains hidden. Although this method secures the flow of sensitive data, it can be leaked if the server storing the faceted values is compromised. While faceted values may be encrypted on the server, doing so would necessitate that the private facets be briefly decrypted during execution to allow arithmetic operations to be performed on them, creating an attack vector for information to be …

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Visionmate: Ai-Powered Image Captioning Web Application, Sai Anoushka Kokku

Master's Projects

VisionMate is a web application that generates captions for camera-captured images. It is designed
to assist users with visual impairments by converting visual input into spoken and written text. The
application uses the GIT-base model from Hugging Face, which processes the image and returns a
descriptive caption. Users can take a picture using the device camera—either via webcam on
desktop or the native camera interface on mobile. The app provides audio output using the
SpeechSynthesis API and uses full-screen tap interaction to simplify accessibility.

The frontend is implemented in React.js, and the backend is built with FastAPI. The backend calls …

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Augmenting Missing Sensor Data For Robust Human Activity Recognition, Suryakangeyan Kandasamy Gowdaman

Master's Projects

Applications of ubiquitous computing, including health monitoring, sports analytics, and ambient-assisted living, rely on Human Activity Recognition (HAR) using wearable sensors. However, model robustness is challenged by missing sensor values, class imbalance, inter-subject variability, and temporal noise. This work proposes a complete HAR pipeline that addresses these challenges through sampling, time-series augmentation, dynamic feature handling, and GAN-PCA-based imputation. Built on the DeepSense architecture, the model integrates convolutional feature extraction with bi-GRUs for temporal modeling. The system is evaluated using 5-fold cross-validation, subject-aware holdout, and LOSEO strategies on the Opportunity dataset. Results demonstrate consistent accuracy across folds and strong generalization to …

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Unconditional-To-Conditional Transfer And Optimization For Web-Based Skybox Gan, Crystal Kwong

Master's Projects

Generative adversarial networks (GANs) are known for their ability to generate high quality
images mimicking real life or even particular art styles. Yet for all their capability, casually
training a GAN on an average machine can be infeasible as GANs require an enormous amount
of time and data to train. Even with a trained GAN, model inference demands heavy
computations, making GANs difficult to deploy on applications. To address these limitations,
techniques such as transfer learning and quantization have been leveraged to speed up training of
GANs and lighten computational cost of GAN inference. This project aims to use such …

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On The Adversarial Robustness Of Quantized Neural Networks Against Common Adversaries In Time-Series Forecasting, Maanak Arora

Master's Projects

Real-world edge applications now use modern machine learning models which require both resource efficiency and robustness against adversarial threats. Deep neural networks which include time series forecasting models still face risks from adversarial perturbations while quantization techniques used for memory and compute efficiency create unpredictable robustness challenges. This project investigates the adversarial resistance of Long Short-Term Memory (LSTM) models after applying post-training quantization at three different precision levels: 16-bit floating point (FP16), 8-bit integer (INT8) and custom 4-bit quantization. The Jena Climate dataset serves as our main benchmark for training a fullprecision LSTM model followed by multiple quantization strategies which …

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Energy Considerations For Large Pre-Trained Neural Networks, Leo Mei

Master's Projects

In recent years, neural network models have achieved phenomenal performance due to the increasing parameters and complexity of model architectures. However, these advancements come with high environmental costs as they require massive computational resources and consume substantial amounts of electricity, leading to high carbon emissions. Previous studies have demonstrated that substantial redundancies exist in large pre-trained models, and reducing these redundancies through compression would not compromise model performance. While these studies focused on retaining comparable model performance, the direct impact of compression on energy consumption when training models appears to have received little attention. By quantifying the energy usage associated …

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Full-Text Articles in Entire DC Network

Spartan Daily, February 13, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Spartan Daily, February 12, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Spartan Daily, February 11, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Staff Attitude, Library Policies And Service Delivery In University Libraries In Ogun State, Nigeria, Ilori Edeole Maria Mrs, Owolabi Ruth O Dr, Oden Abigail N. Mrs, Ogungbade Aderonke A. Mrs

Library Philosophy and Practice (e-journal)

Spartan Daily, February 6, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

“Burned Through”: Performing Social Justice In The Academy, Matthew P. Bejar, Saemi Lee, Terilyn C. Shigeno, Leslie K. Larsen

Faculty Research, Scholarly, and Creative Activity

Spartan Daily, February 5, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Spartan Daily, February 4, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Intelligent Blind Crossings For Suburban And Rural Intersections, Shahab Tayeb

Mineta Transportation Institute

Death And Disappearance: Measuring Racial Disparities In Mortality And Life Expectancy Among People In State Prisons, United States 2000-2014, Bryan L. Sykes, Ernest K. Chavez, Justin D. Strong

Faculty Research, Scholarly, and Creative Activity

Biomechanical Risk Classification In Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute For Occupational Safety And Health Lifting Equation, And Deep Learning, Fatemeh Davoudi Kakhki, Hardik Vora, Armin Moghadam

Faculty Research, Scholarly, and Creative Activity

What Tackles Vehicle Ghg Emissions In California: Regional Plan Adoption Or Local Leadership?, Ahoura Zandiatashbar, Serena Alexander, Branka Tatarevic

Faculty Research, Scholarly, and Creative Activity

“I Need This Person’S Support To Have A Career” The Material And Emotional Impacts Of Neoliberalism On Trans Collegians’ Classroom Experiences At A Public University, Justin A. Gutzwa, Robert A. Marx

Faculty Research, Scholarly, and Creative Activity

Spartan Daily, January 30, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Spartan Daily, January 29, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Epicurus And The Buddha On Desire, Andrew Alwood

Comparative Philosophy

Spartan Daily, January 23, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Faculty Research, Scholarly, and Creative Activity

The Impact Of Artificial Intelligence On Data Privacy: A Risk Management Perspective, Norman Mooradian, Patricia C. Franks, Amitabh Srivastav

Faculty Research, Scholarly, and Creative Activity

Spherical And Sessile Droplet Dynamics By Fluctuating Hydrodynamics, John B. Bell, Andrew Nonaka, Alejandro L. Garcia

Faculty Research, Scholarly, and Creative Activity

(Missed) Opportunities To Build Solidarity: A Critical Analysis Of Spanish-English Bilingual Children’S Books, Claudia Rodriguez-Mojica, Allison Briceño

Faculty Research, Scholarly, and Creative Activity

Smart: Semantic Mapping And Analysis For Regional Terrain Using Multi-Scale U-Net And Topsis, Rashmi Sonth

Master's Projects

The Role Of Advocacy And Occupational Justice In Increasing The Accessibility Of Parks For Parents With Disabilities, Nathan Burke-Tan

Doctoral Projects

From Silos To Synergies: How To Enhance Interdisciplinary Collaboration Among Graduate Students, Jennifer Jimenez

Doctoral Projects

Homomorphically Encrypted Faceted Values, Tanmay Singal

Master's Projects

Visionmate: Ai-Powered Image Captioning Web Application, Sai Anoushka Kokku

Master's Projects

Augmenting Missing Sensor Data For Robust Human Activity Recognition, Suryakangeyan Kandasamy Gowdaman

Master's Projects

Unconditional-To-Conditional Transfer And Optimization For Web-Based Skybox Gan, Crystal Kwong

Master's Projects

On The Adversarial Robustness Of Quantized Neural Networks Against Common Adversaries In Time-Series Forecasting, Maanak Arora

Master's Projects

Energy Considerations For Large Pre-Trained Neural Networks, Leo Mei

Master's Projects