Digital Commons Network^™

Active Tectonics, Erosion Rates, And Topographic Metrics In The Hayword-Calaveras Fault Zone, Simone I. Yeager

Master's Theses

In northern California, the complex geometry of the San Andreas Fault system, and how it steps and propagates across the Earth’s surface, is revealed in the topography. Activity along the Mission and Arroyo Aguague oblique reverse faults, located where the right-lateral Hayward Fault steps to the left of the Calaveras Fault, are manifested in the Diablo Mountain Range. The high topography in the restraining step can be observed in lidar imagery and seismicity studies show these faults are connected at depth. In this study, we investigate active tectonics, erosion rates, and topographic metrics from the southern end of the restraining …

The Effects Of Stress On Attentional Networks, Alice Tsvinev

Master's Theses

The human brain has developed mechanisms to aid our survival, including attentional networks and stress response. Attentional shifts allow humans to react accordingly to their environment, following innate processes like fight or flight. Prolonged exposure to acute stress interferes with such cognitive processes as attention and working memory, impacting attentional systems. The present study examined the effects of acute stress on visual attention processes, specifically focusing on the orienting, alerting, and executive attention networks. 49 participants were randomly placed in either a stress or non-stress condition, then asked to reflect on either stressful or positive moments in their lives, respectively. …

No Change In Functional Ecology Or Body Size In Response To A Global Climate Event In The Late Maastrichtian Owl Creek Formation, William T. Rizza

Master's Theses

During the last 300 ka of the Maastrichtian, global temperatures increased and decreased by ~2℃, likely caused by a pulse of Deccan volcanism. The Owl Creek Type Section in Mississippi records some portion of the last 400 ka of the Late Maastrichtian. It is expected that marine invertebrates will demonstrate a taxonomic, ecological, or morphological response to rapid temperature change. I anticipate a decrease in taxonomic diversity and shell volume and an increased abundance of low activity-level species, similar to the ecological impacts observed in response to Large Igneous Province eruptions in the geologic record. Clumped isotope paleotemperature reconstruction recovers …

Gait Measurement Descriptions Of Human Tracks, Robert Speiden

International Journal of Missing Persons

Search and rescue missions use a variety of tools to find missing persons, one of which can be visual tracking. Trackers detect, interpret and document information about human contact with the ground. Humans typically move on two feet at various speeds. Movement as an obligate biped leaves a series of footprints that alternates from one side to the other. This pattern of footfalls is rather simple, and the footfalls can be easily divided into descriptive dimensions.

This work summarized published measurements of bipedal gait ground contact points in 70 resources. Four resource types were surveyed including 33 biomechanical gait analysis …

L&D On-Ramps And Off-Ramps For The Mobility Workforce: A Blueprint For Knowledge Ecosystem Formation In The Fourth Industrial Revolution, Tyler Reeb, Barbara Taylor, James Reuter

Mineta Transportation Institute

After a yearlong consensus study, this report presents a blueprint with implementation tools and strategies for CSULB and other CSU campuses to adopt a knowledge ecosystem model in higher education. By conducting talent pipeline pilots for internship preparation activities and related survey and focus group research, the research team found near universal support for pursuing university-industry partnerships. Faculty identified extracurricular activities, experiential learning opportunities, and guidance on further education as their top three priorities when mentoring students in professional development. There was, however, a paradoxical perception among faculty about what universities provide in terms of knowledge, skills, and abilities (KSAs) …

Estimating Models For Engineering Costs On The State Highway Operation And Protection Program (Shopp) Portfolio Of Projects, Elhami Nasr, Tariq Shehab, Nigel Blampied, Vinit Kanani

Mineta Transportation Institute

The State Highway Operation and Protection Program (SHOPP) is crucial for maintaining California’s 15,000-mile state highway system, which includes projects like pavement rehabilitation, bridge repair, safety enhancements, and traffic management systems. Administered by Caltrans, SHOPP aims to preserve highway efficiency and safety, supporting economic growth and public safety. This research aimed to develop robust cost-estimating models to improve budgeting and financial planning, aiding Caltrans, the California Transportation Commission (CTC), and the Legislature. The research team collected and refined comprehensive data from Caltrans project expenditures from 1983 to 2021, ensuring a high-quality dataset. Subject matter experts validated the data, enhancing its …

Genie: Enhancing Information Management In The Restaurant Industry Through Ai-Powered Chatbot, Megha Gupta, Venkatasai Dheekonda, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

In the dynamic restaurant industry, we introduce "Genie," an AI-powered chatbot, represents an advancement in customer service efficiency through technological innovation. Designed to enhance restaurant operations including order processing, reservations, and FAQs management, Genie leverages advanced Natural Language Processing (NLP) techniques. By converting input queries into word embeddings and applying a sophisticated tag classification system, Genie precisely interprets customer intents and generates accurate responses, thereby markedly improving the dining experience. Our thorough examination of various word embeddings and classifiers—Word2Vec, Glove, BERT, Gaussian Naive Bayes, XGB, Artificial Neural Networks (ANN), and Recurrent Neural Networks—revealed that the combination of Word2Vec and ANN …

Scale-Dependent Drivers Of Air-Sea Co2 Flux Variability, Amanda R. Fay, Dustin Carroll, Galen A. Mckinley, Dimitris Menemenlis, Hong Zhang

Faculty Research, Scholarly, and Creative Activity

In climate studies, it is crucial to distinguish between changes caused by natural variability and those resulting from external forcing. Here we use a suite of numerical experiments based on the ECCO-Darwin ocean biogeochemistry model to separate the impact of the atmospheric carbon dioxide (CO2) growth rate and climate on the ocean carbon sink — with a goal of disentangling the space-time variability of the dominant drivers. When globally integrated, the variable atmospheric growth rate and climate exhibit similar magnitude impacts on ocean carbon uptake. At local scales, interannual variability in air-sea CO2 flux is dominated by climate. The implications …

Spartan Daily, October 23, 2024, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2024

Volume 163, Issue 26

Library Stock Management: Mandya University Library Scenario, Kavitha N., Hullerappa G., Sampath Kumar B.T.

Library Philosophy and Practice (e-journal)

Stock Verification is an essential part of library management that ascertains to check the library resources in the stock. It is an effective method to identify mistakes and prevent fraudulent procedures. The purpose of this article is to investigate the potential and intensive stock verification of more than 60000 documents from Mandya University Library. Study results reveal that 39127 library books are available in the powerhouse of the new library building constituent government college of Mandya University library and 23060 books are discarded as loss of books. Notable findings show that insufficient knowledge of cataloguing and classification rules has hampered …

A New Ecosystem Model For Arctic Phytoplankton Phenology From Ice-Covered To Open-Water Periods: Implications For Future Sea Ice Retreat Scenarios, Jang Geun Choi, Atsushi Matsuoka, Manfredi Manizza, Dustin Carroll, Stephanie Dutkiewicz, Thomas Lippmann

Faculty Research, Scholarly, and Creative Activity

To predict ecosystem change in the Arctic Ocean, understanding Arctic phytoplankton phenology is essential. We develop a marine ecosystem model focusing on phytoplankton dynamics and the competition for multiple resources based on knowledge from in situ data obtained in the Chukchi Sea. The model is designed to include the unique ecological characteristics of the Arctic Ocean. To the best of our knowledge, this is the first model successfully simulating the current paradigm for Arctic phytoplankton phenology, including both under-ice blooms and succession of phytoplankton groups. Sensitivity experiments show that the dominance of diatoms can be sustained by lateral transport of …

Who’S Actually Afraid Of Artificial Intelligence (Ai?), Anthony Adeloye

Library Philosophy and Practice (e-journal)

Purpose of the study: The main purpose of the study is to explore and discuss the views of a group of Nigerian academic librarians about Artificial Intelligence (AI). The study is considered important because a perusal of an academic librarian’s role requires the ability to organise and manage knowledge which invariably entails the use of some sort of technology which in the context of this study, is artificial intelligence (AI).

Method: To understand the degree to which academic librarians in Nigeria perceive the role of AI in academia, and indeed, society, data were collected from an online survey that …

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

Emeritus and Retired Faculty Association (ERFA) Newsletter

Volume 38, No 1

Spartan Daily, October 01, 2024, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2024

Volume 163, Issue 16

Measurement And Prediction Of Transit System Performance Using Probe Data Generated Through Dsrc And Non-Dsrc Technologies, Gregory L. Newmark

Mineta Transportation Institute

This research explores the application of two different probe data standards to transit performance measurement. The first section chronicles the proposed and implemented transit uses of dedicated short-range communication (DSRC) technologies during the two decades between the standard’s emergence and its announced sunset. The research finds that, despite proposed applications across safety, operation, and information domains, DSRC never became embedded in transit operations. By contrast, the general transit feed specification (GTFS) standard with its real-time (RT) extension has been widely embraced and offers the potential to use the associated VehiclePosition messages as probe data to generate detailed transit performance metrics. …

Breakdown Of Boltzmann-Type Models For The Alignment Of Self-Propelled Rods, Patrick Murphy, Misha Perepelitsa, Ilya Timofeyev, Matan Lieber-Kotz, Brandon Islas, Oleg A. Igoshin

Faculty Research, Scholarly, and Creative Activity

Studies in the collective motility of organisms use a range of analytical approaches to formulate continuous kinetic models of collective dynamics from rules or equations describing agent interactions. However, the derivation of these kinetic models often relies on Boltzmann's “molecular chaos” hypothesis, which assumes that correlations between individuals are short-lived. While this assumption is often the simplest way to derive tractable models, it is often not valid in practice due to the high levels of cooperation and self-organization present in biological systems. In this work, we illustrated this point by considering a general Boltzmann-type kinetic model for the alignment of …

Use And Awareness Of Open Educational Resources Of Students And Faculty Of Nrupathunga University: A Study, Jayamma Kv, Sathish P Mr

Library Philosophy and Practice (e-journal)

Open Educational Resources (OER) are digital texts, news media, and other types of resources publicly accessible under an open license, and they can be used for teaching, learning, evaluation, and research. OER is the term for information and products that are freely used, remixed, improved, and redistributed by anybody with the owner's permission under specific licenses. These are designed to be adjusted for regionally unique circumstances to reduce barriers to accessibility through efficient instruction. The creation and promotion of free educational resources are often motivated by providing a better and alternative educational perspective. Open educational resources are educational, research, and …

Innovative Use Of Google-Blogs To Overcome Socioeconomic And Technological Barriers In Pakistan: Link-List Gadgets As Digital Libraries., Zameer Hussain Baladi, Syed Razi Muhammad

Library Philosophy and Practice (e-journal)

Introduction: Access to educational and a research material has always been a challenge in a socio-economically challenged country like Pakistan, due to lack of financial resources, unavailability of electricity, and slow internet speeds. The use of Google blogs has promoted a new and innovative way, through which users can easily access knowledge content. This research sheds light on the creation and usefulness of digital libraries through the use of Google blogs and their link list gadgets.

Methods: Google is an international technology corporation that provides dozens of services, including Blogger. Blogger provides 25 modules or gadgets that offer …

Cross-Core Data Sharing For Energy-Efficient Gpus, Hajar Falahati, Mohammad Sadrosadati, Qiumin Xu, Juan Gómez-Luna, Banafsheh Saber Latibari, Hyeran Jeon, Shaahin Hesaabi, Hamid Sarbazi-Azad, Onur Mutlu, Murali Annavaram, Masoud Pedram

Faculty Research, Scholarly, and Creative Activity

Graphics Processing Units (GPUs) are the accelerator of choice in a variety of application domains, because they can accelerate massively parallel workloads and can be easily programmed using general-purpose programming frameworks such as CUDA and OpenCL. Each Streaming Multiprocessor (SM) contains an L1 data cache (L1D) to exploit the locality in data accesses. L1D misses are costly for GPUs for two reasons. First, L1D misses consume a lot of energy as they need to access the L2 cache (L2) via an on-chip network and the off-chip DRAM in case of L2 misses. Second, L1D misses impose performance overhead if the …

Generalized Choi–Davis–Jensen’S Operator Inequalities And Their Applications, Shih Yu Chang, Yimin Wei

Faculty Research, Scholarly, and Creative Activity

The original Choi–Davis–Jensen’s inequality, known for its extensive applications in various scientific and engineering fields, has inspired researchers to pursue its generalizations. In this study, we extend the Choi–Davis–Jensen’s inequality by introducing a nonlinear map instead of a normalized linear map and generalize the concept of operator convex functions to include any continuous function defined within a compact region. Notably, operators can be matrices with structural symmetry, enhancing the scope and applicability of our results. The Stone–Weierstrass theorem and the Kantorovich function play crucial roles in the formulation and proof of these generalized Choi–Davis–Jensen’s inequalities. Furthermore, we demonstrate an application …

Community Detection Using Deep Learning: Combining Variational Graph Autoencoders With Leiden And K-Truss Techniques, Jyotika Hariom Patil, Petros Potikas, William B. Andreopoulos, Katerina Potika

Faculty Research, Scholarly, and Creative Activity

Deep learning struggles with unsupervised tasks like community detection in networks. This work proposes the Enhanced Community Detection with Structural Information VGAE (VGAE-ECF) method, a method that enhances variational graph autoencoders (VGAEs) for community detection in large networks. It incorporates community structure information and edge weights alongside traditional network data. This combined input leads to improved latent representations for community identification via K-means clustering. We perform experiments and show that our method works better than previous approaches of community-aware VGAEs.

Comparison Of Likelihood Ratios From Probabilistic Genotyping For Two-Person Mixtures Across Different Assays And Instruments, Dennis Mcnevin, Mark Barash

Faculty Research, Scholarly, and Creative Activity

Continuous probabilistic genotyping (PG) provides a means to estimate the probative value of DNA mixtures tendered as evidence in court and subject to alternative propositions about the contributors to the mixtures. The weight of that evidence, however, may be valued differently, depending on which forensic laboratory undertook the DNA analysis. There is a need, therefore, to have a means for the comparison of likelihood ratios (LRs) generated by continuous PG amongst different laboratories for the same initial DNA sample. Such a comparison would enable the courts and the public to make judgements about the reliability of this type of evidence. …

Discipline-Based Entrepreneurship: A Catalyst For Resilient And Sustainable Development For Undergraduate Students, Joy Chituru Onyenachi Associate Professor, Nene Favour Kalu Obasi Dr, Amaoge Dorathy Agbo Dr

Library Philosophy and Practice (e-journal)

The study was carried out to determine the discipline-based entrepreneurial opportunities available for library and information science (LIS) students for sustainable development. Descriptive survey research design was adopted in carrying out the study. Four specific objectives guided the study, which are: to determine discipline-based entrepreneurial opportunities available for LIS students; establish key entrepreneurial skills for LIS students; find out the extent educational programs and training on entrepreneurship contribute to the professional development and resilience of LIS students; and determine possible challenges that may arise when applying discipline-based entrepreneurship approaches to address the needs of LIS students for sustainable development. The …

Evaluating The Impact Of Digital Competence And Digital Self-Efficacy On The Adoption Of Big Data In Library And Information Centers: A Contextual Study, Adeniyi Kayode, Sunday Adebisi Oguntayo Dr

Library Philosophy and Practice (e-journal)

Purpose: The purpose of this study is to investigate digital competence and self-efficacy in academic libraries in South-West region of Nigeria using the framework of Big Data adoption.

Design/methodology/approach: An open-ended follow-up survey (google form), utilising a qualitative methodology, was distributed among system librarians in six academic libraries in South-West Nigeria.

Findings: The present volume of literature has led to a variety of opinions from the perspective of librarians about what constitutes an appropriate definition of Big Data adoption. Academic libraries and system librarians have not provided much thought to the idea of Big Data adoption services in libraries. Furthermore, …

Ahuja, Yudhi, San Jose State University

Emeritus and Retired Faculty Biographies

University of Delhi, India, Statistics, 1973 Ph.D.

University of Delhi, India, Statistics, 1960 M.A.

University of Punjab, India, Mathematics, 1958 B.A. (Honors)

UNESCO, HRD Training, 1989

Remote Sensing With Airborne Infrared Thermography For Assessment Of Landscape Scale Wildfire Spread And Intensity, Christopher C. Giesige

Master's Theses

Wildland fire is one of the most complex environmental physical processes to quantify. The way in which we observe and measure wildland fire is critical in understanding how these processes drive fire dynamics. Fire behavior can be observed in several ways including the use of ground sensors and remote sensing packages aboard aircraft and satellites. Airborne sensors provide high spatial resolution and can provide high temporal resolution. Infrared thermography takes advantage of radiant heat transfer allowing for the study of fire characteristics such as fire spread and intensity. Aircraft observations utilizing infrared cameras have been a well-established method of fire …

Analyzing Live And Dead Fuel Moisture In California: Insights For Wildfire Management Decisions, Jack R. Drucker

Master's Theses

This study investigates trends in fuel moisture content (FMC) across California from 2000 to 2021. It utilizes two distinct sources of FMC data: the Fuel Moisture Repository, which integrates live fuel moisture content (LFMC) observations, and a novel dead fuel moisture content (DFMC) reanalysis product which provides spatial fuel moisture maps by integrating dead fuel moisture observations and a fuel moisture model driven by gridded weather data. The analysis uncovered a general downtrend in FMC across California, with the exception of LFMC in the Northernmost regions and coarse DFMC. Despite the differing long-term FMC trends, all the regions experienced a …

On The Colorability Of The Sphere Complex, Bennett Haffner

Master's Theses

One of the most prominently studied groups in geometric group theory is the outer automorphism group of the free group Out(F). The sphere complex provides a topological model for Out(F). We demonstrate the chromatic number of the sphere complex is finite.

Flora And Fauna Lexical Indicators Of Prehistoric Movement Of Yuman Peoples, Adam Ingwerson

Master's Theses

Amyloid fibrils are locally ordered protein aggregates characterized by a filamentous morphology held together by a hydrogen bonding motif known as cross-β structure whereby hydrogen bonds form between backbone amide bond moieties across separate protein segments. The most notable medical significance of amyloid fibrils is their central role in the etiology of Alzheimer’s disease, type 2 diabetes, and other human diseases. Although amyloid fibrils have been studied extensively, the mechanism of their formation is still not fully understood. X-ray crystallography is a leading experimental technique for resolving amyloid fibril structures from crystallized proteins; however, inherent limitations leave open the possibility …

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

Master's Theses

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 …