Digital Commons Network^™

Vol 16 No 1 Information Page

Comparative Philosophy

No abstract provided.

Vol 16 No 1 Cover Page

Comparative Philosophy

No abstract provided.

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

Spartan Daily, 2025

Volume 164, Issue 1

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 …

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 …

Dynamic Imprints Of Colliding-Wind Dust Formation From Wr 140, Emma P. Lieb, Ryan M. Lau, Jennifer L. Hoffman, Michael F. Corcoran, Macarena Garcia Marin, Theodore R. Gull, Kenji Hamaguchi, Yinuo Han, Matthew J. Hankins, Olivia C. Jones, Thomas I. Madura, Sergey V. Marchenko, Hideo Matsuhara, Florentin Millour, Anthony F.J. Moffat, Mark R. Morris, Patrick W. Morris, Takashi Onaka, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

Carbon-rich Wolf-Rayet (WR) binaries are a prominent source of carbonaceous dust that contribute to the dust budget of galaxies. The “textbook” example of an episodic dust-producing WR binary, WR 140 (HD 193793), provides us with an ideal laboratory for investigating the dust physics and kinematics in an extreme environment. This study is among the first to utilize two separate JWST observations, from Cycle 1 ERS (2022 July) and Cycle 2 (2023 September), to measure WR 140’s dust kinematics and confirm its morphology. To measure the proper motions and projected velocities of the dust shells, we performed a novel point-spread function …

To Be Or Not To Be Included In The S&P 500: Cost Of Debt Implications, Matthew Faulkner, Tracie Frost, Stoyu I. Ivanov

Faculty Research, Scholarly, and Creative Activity

Purpose: We examine the changes in a firm’s cost of debt after it is included in or removed from the S&P 500. The extant literature on index composition focuses on the cost of equity and lacks an understanding of the impacts on a firm’s cost of debt capital upon inclusion in or removal from a major stock market index. Therefore, we address the following question: Does a firm’s cost of debt change around its inclusion in or removal from the S&P 500? Design/methodology/approach: We develop two hypotheses based on the research question and use univariate and multivariate fixed-effects analyses to …

In Touch With Those In Need: How Touchscreen Devices Lead Consumers To Support Social Causes, Aekyoung Kim, Hyojin Lee, Saerom Lee

Faculty Research, Scholarly, and Creative Activity

As consumers are increasingly using touchscreen devices (e.g., tablets or smartphones) when exposed to various marketing messages, this research explores how touchscreen devices alter consumer reactions to social cause marketing. This research shows that using touchscreen (vs. nontouchscreen) devices while viewing online charity ads featuring human victims increases consumers’ support for the advertised social causes. Four studies demonstrate this effect by examining consumers’ social media activities, donation intentions, and actual donations in field and lab settings. Mediation analysis reveals that using touchscreen (vs. nontouchscreen) devices enhances consumer support through increased empathy for the victims featured in charity ads. Together, this …

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 …

Action Research As A Pathway To Discovery In The School Library, David Vickers Loertscher, Michelle Young

Learning Hub

No abstract provided.

Differential Encoding Of Mammalian Proprioception By Voltage-Gated Sodium Channels, Cyrrus M. Espino, Chetan Nagaraja, Serena Ortiz, Jacquelyn R. Dayton, Akash R. Murali, Yanki Ma, Emari L. Mann, Snigdha Garlapalli, Ross P. Wohlgemuth, Sarah E. Brashear, Lucas R. Smith, Katherine A. Wilkinson, Theanne N. Griffith

Faculty Research, Scholarly, and Creative Activity

Animals requiring purposeful movement for survival are endowed with mechanoreceptors, called proprioceptors, that provide essential sensory feedback from muscles and joints to spinal cord circuits, which modulates motor output. Despite the essential nature of proprioceptive signaling in daily life, the mechanisms governing proprioceptor activity are poorly understood. Here, we identified nonredundant roles for two voltage-gated sodium channels (NaVs), NaV1.1 and NaV1.6, in mammalian proprioception. Deletion of NaV1.6 in somatosensory neurons (NaV1.6cKO mice) causes severe motor deficits accompanied by loss of proprioceptive transmission, which contrasts with our previous findings using similar mouse models to target NaV1.1 (NaV1.1cKO). In NaV1.6cKO animals, we …

(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. …

Tsao, H.-S. Jacob, San Jose State University

Emeritus and Retired Faculty Biographies

University of California, Berkeley, Operations Research, Ph.D. 1984

University of Texas at Dallas, Mathematical Statistics, MS, 1979

National Chiao-Tung University, Taiwan, Applied Mathematics, BS, 1976

The Data-Driven Library: Communicating The Value Of Your School Library Program To Administrators, Parents, Students, And Colleagues, Shala Howell

Learning Hub

This article examines the use of data dashboards as a tool for teacher librarians to advocate for their school library programs. It emphasizes the importance of linking library services to district priorities to secure funding, increase collaboration, and demonstrate the library’s impact on student outcomes. An eight-step process is detailed, including defining objectives, identifying target audiences, collecting and visualizing data, and publishing dashboards using accessible tools like Google Workspace. By crafting coherent, audience-specific narratives, librarians can highlight how their programs support educational goals, improve resource utilization, and foster collaboration. The article concludes that data dashboards provide a sustainable and compelling …

Characteristics Of World Class School Librarians, David V. Loertscher, Michelle Young, Charlene Peterson

Learning Hub

Over 30 school librarians across the U.S. and Canada and who had been nominated by their peers for their excellence were interviewed as a part of the AliveLibrary Project at San Jose State University. The major question was “What are the major characteristics of world class school librarians.” Each was read and rated by three researchers, and in several rounds resulted in eight major characteristics that seem to undergird high impact on teaching and learning across a wide spectrum of locations, affluence, diversity, and communities.

Self-Directed Learning In The Elementary Library, Maggie B. Doud

Learning Hub

This article examines the implementation of the "My Time" self-directed learning framework in elementary school libraries, focusing on its impact on student autonomy, critical thinking, and engagement. "My Time" integrates structured choices with flexible guidance, enabling students to take ownership of their learning. The author reflects on practical experiences and connects them to theoretical foundations, including Glasser’s Choice Theory, Knowles' self-directed learning model, and constructivist principles. Key findings demonstrate that "My Time" significantly improves student engagement, autonomy, and behavior through activities such as makerspaces, inquiry-based projects, and reflective goal-setting. The article emphasizes the program's potential to transform school libraries into …

The Influence Of Maternal Size/Age Effects On The Physiological Responses Of Adult Female Gopher Rockfish (Sebastes Carnatus) To Ocean Acidification And Hypoxia, Dylan H. Sarish

Master's Theses

Climate change is rapidly reshaping the chemistry of the ocean. Fishes living in California coastal waters are experiencing increased ocean acidification and hypoxia (OAH) due to more frequent and intense upwelling. Nearshore rockfish may be particularly threatened by these conditions due to their long generational times. However, it is unknown how OAH may impact maternal physiology and reproduction in these viviparous fish. To understand the physiological effects of OAH during gestation, adult female gopher rockfish, Sebastes carnatus, were exposed to a variety of combined OAH stress treatments during different gestational stages. Routine metabolic rate (RMR), maximum metabolic rate (MMR), blood …

Social Engineering Scenario Generation For Awareness-Based Attack Resilience, Jade Webb

Master's Projects

Social engineering is found in a strong majority of cyberattacks today, as it is a powerful manipulation tactic that does not require the technical skills of hacking. Calculated social engineers utilize simple communication to deceive and exploit their victims, all by capitalizing on the vulnerabilities of human nature: trust and fear. When successful, this inconspicuous technique can lead to millions of dollars in losses. Social engineering is not a one-dimensional technique; criminals often leverage a combination of strategies to craft a robust yet subtle attack. In addition, offenders are continually evolving their methods in efforts to surpass preventive measures. A …

Cca Analysis Using Computer Vision Techniques, Rahul Thakur

Master's Projects

Coral reefs are an essential part of the marine ecosystem. They perform a wide variety of tasks, some directly and others indirectly. They can produce oxygen, absorb carbon dioxide, along with supporting ocean habitat. Crustose Coralline Algae (“CCA”) plays an important role in helping provide structural support to Coral Reef ecosystems. However, global warming is causing ocean water to become more acidic resulting in coral bleaching. This is leading to changes in coral environments and causing coral deaths at alarming rates. Object detection using computer vision techniques, specifically deep learning, can help to monitor coral reef health and identify CCA …

Retrieval-Augmented Generation (Rag) Chatbots: A Comparative Study Of Claude, Gpt-4o, Deepseek, And Llama, Kalindi Vijesh Parekh

Master's Projects

The use of Retrieval-augmented generation (RAG) in chatbot platforms has transformed academic spaces by significantly improving information accessibility. RAG has become a viable approach to upgrading Large Language Models (LLMs) with external knowledge access in real time. With the growing availability of advanced LLMs such as GPT, DeepSeek, Claude, Gemini, and Llama, there is a growing need to compare RAG systems based on different LLMs. This study compares the responses of four different RAG chatbots using popular LLMs against a uniquely designed evaluation dataset. Specifically, the study compares the responses and performance of closed-source (GPT-4o and Claude) and open-source models …

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 …

Detecting Ai-Generated News Articles Using Unsupervised Machine Learning Algorithms, Lilou Sicard-Noel

Master's Projects

The widespread adoption of Large Language Models (LLMs) has revolutionized text generation and heightened concerns over misinformation and the erosion of journalistic integrity. Detecting AI-generated text is critical to addressing these challenges, yet current detection methods face adaptability, scalability, and accuracy limitations. This research paper uses machine-learning techniques to explore the classification of human and AI-generated articles, including a mix of human and AI-written content. The primary focus is on evaluating the effectiveness of clustering algorithms (K-Means and Agglomerative Clustering), auto-encoders, and Part-Of- Speech Tag Transition Matrix Log-Likelihood for distinguishing between AI-generated and human-written texts. Our findings reveal that while …

Mycelia: Cross-Chain Data Oracle Using Frost Signatures, Bala Komatireddy

Master's Projects

The interoperability of heterogeneous blockchain networks is the basis for the widespread application of blockchains in various fields. Cross-chain data oracles play a significant role in enabling distributed applications to exchange data and assets across different blockchains, thereby greatly enriching and expanding the application scenarios and use of blockchains. With the continuous advancement of blockchain technology, more and more researchers and industry participants have begun to focus on developing cross-chain data oracles. Current cross-chain data oracles face issues with trust, as they rely on centralized intermediaries or limited validator networks, increasing the risk of manipulation or single points of failure. …

Retrieval-Augmented Generation For Survival Analysis In Cancers: Methods And Evaluation On The Surveillance, Epidemiology, And End Results Database, Jyothi Vaidyanathan

Master's Projects

Healthcare is one of the most important fields that benefits from advancements in Artificial Intelligence (AI). From classic models like linear regression to cuttingedge transformers, AI is applied across various healthcare subdomains, such as drug discovery, predictive analytics, and personalized medicine, to name a few. These techniques enable medical practitioners to make more informed decisions, significantly improving both the speed and accuracy of diagnoses and treatments. Machine learning has played a transformative role in oncology, especially in areas like early detection, diagnosis, treatment planning, and patient monitoring, by analyzing medical images, clinical information, genomic data, sensor information. Our research aims …

Rul Estimation Of N-Cmapss Turbofan Engines Using Deep Learning With Customized Penalty And Expanded Sensors, Prathmesh Pethkar

Master's Projects

Accurate prediction of Remaining Useful Life (RUL) for aircraft engines is important to enhance maintenance efficiency and flight safety. For this project, a solution to RUL prediction on NASA's N-CMAPSS data set, mimicking realistic engine degradation under simulated full-flight scenarios, is being proposed. For addressing the high-dimensional noisy sensor data challenge, a new feature engineering pipeline was utilized. Models trained on healthy data predict normal sensor behavior, and the discrepancy between these predictions—referred to as residual features—is a measure of degradation. To handle the size and computational demands of the dataset, training was conducted on Google Cloud Platform using GPU-supported …

Leveraging Diverse Knowledge To Support Collection Development: Maximizing Student Engagement And Community Resource Value In Varied Community College Settings, Jose Aguiñaga, Edward Mckennon

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

Assessing Total Mortality Following Seabird Wrecks Given Variable Data Quantity And Quality: The Cassin’S Auklet Die-Off, Timothy Jones, Julia K. Parrish, Parker Maccready, Lisa T. Ballance, David W. Bradley, Hillary K. Burgess, Jane E. Dolliver, James T. Harvey, Trevor Joyce, Kirsten Lindquist, Jacqueline Lindsey, Hannahrose M. Nevins, Jan Roletto, Laurie Wilson, Charlie Wright

Faculty Research, Scholarly, and Creative Activity

Mass mortality events (MMEs) of seabirds are becoming more frequent as the global climate warms. Often documented via beached bird surveys, methods for estimating event-wide mortality are needed that can accommodate regional differences in carcass deposition and data quality/quantity. We develop a framework for estimating mortality from beached bird counts, extending existing approaches through the novel application of ocean circulation modeling to assess beaching likelihood. We applied our framework to the 2014/15 Cassin’s auklet (Ptychoramphus aleuticus) MME, which spread across three regions (central California, northern California-through-Washington, British Columbia) with varying data quality/quantity. Our best mortality estimate of ∼400 000 (estimates …

Conservation Benefits Of A Large Marine Protected Area Network That Spans Multiple Ecosystems, Joshua G. Smith, Cori Lopazanski, Christopher M. Free, Julien Brun, Clarissa Anderson, Mark H. Carr, Joachim Claudet, Jenifer E. Dugan, Jacob G. Eurich, Tessa B. Francis, David A. Gill, Scott L. Hamilton, Kristin Kaschner, David Mouillot, Peter T. Raimondi, Richard M. Starr, Shelby L. Ziegler, Daniel Malone, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

Marine protected areas (MPAs) are widely implemented tools for long-term ocean conservation and resource management. Assessments of MPA performance have largely focused on specific ecosystems individually and have rarely evaluated performance across multiple ecosystems either in an individual MPA or across an MPA network. We evaluated the conservation performance of 59 MPAs in California's large MPA network, which encompasses 4 primary ecosystems (surf zone, kelp forest, shallow reef, deep reef) and 4 bioregions, and identified MPA attributes that best explain performance. Using a meta-analytic framework, we evaluated the ability of MPAs to conserve fish biomass, richness, and diversity. At the …

Contraceptive Use Among Transgender Men And Gender Diverse Individuals In The United States: Reasons For Use, Non-Use, And Methods Used For Pregnancy Prevention, Juno Obedin-Maliver, Ava Snow, Sachiko Ragosta, Laura Fix, Jen Hastings, Micah E. Lubensky, Matthew R. Capriotti, Zubin Dastur, Annesa Flentje, Mitchell R. Lunn, Heidi Moseson

Faculty Research, Scholarly, and Creative Activity

Objectives: To describe contraceptive use for pregnancy prevention among transgender men and gender diverse (TGD) individuals assigned female or intersex at birth (AFIAB) and explore whether contraceptive use differs by testosterone use. Study design: We analyzed data from a cross-sectional, online survey of N = 1694 TGD individuals AFIAB recruited in 2019 through a community-facing website and a national community-engaged cohort study of sexual and/or gender minority (SGM) adults in the US. Descriptive and regression analyses characterized the current and ever use of contraceptive methods for pregnancy prevention, stratified by testosterone use, and described reasons for contraceptive use/non-use. Results: Most …

Autoregressive Neural Quantum States Of Fermi Hubbard Models, Eduardo Ibarra-García-Padilla, Hannah Lange, Roger G. Melko, Richard T. Scalettar, Juan Carrasquilla, Annabelle Bohrdt, Ehsan Khatami

Faculty Research, Scholarly, and Creative Activity

Neural quantum states (NQSs) have emerged as a powerful ansatz for variational quantum Monte Carlo studies of strongly correlated systems. Here, we apply recurrent neural networks (RNNs) and autoregressive transformer neural networks to the Fermi-Hubbard and the (non-Hermitian) Hatano-Nelson-Hubbard models in one and two dimensions. In both cases, we observe that the convergence of the RNN ansatz is challenged when increasing the interaction strength. We present a physically motivated and easy-to-implement strategy for improving the optimization, namely, by ramping of the model parameters. Furthermore, we investigate the advantages and disadvantages of the autoregressive sampling property of both network architectures. For …