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Phase Transitions In An Ising Model Of Agent Expectations In Financial Markets: Analytics And Numerical Results In One And Two-Dimensional Network Topologies, Marko Raseta, Steven D. Silver, Alina Bazarova Oct 2025

Phase Transitions In An Ising Model Of Agent Expectations In Financial Markets: Analytics And Numerical Results In One And Two-Dimensional Network Topologies, Marko Raseta, Steven D. Silver, Alina Bazarova

Faculty Research, Scholarly, and Creative Activity

We cite correspondences between dynamics in competitive markets and information theory in the objective of recovering signal from noisy information sequences. In financial markets, this objective has been examined as recovering signal on phase transitions between ordered and disordered states of agents in the market. These transitions have been indicated to denote critical points in time series of market price. Although there is a noteworthy background in information theory in the study of the dynamics of the Ising model in this manuscript, we pursue a different modeling approach. Whereas phase transitions in a multicomponent model of market states have previously …

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Spartan Daily, October 14, 2025, San Jose State University, School Of Journalism And Mass Communications Oct 2025

Spartan Daily, October 14, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 22

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Urban Air Mobility Vertiports: A Bibliometric Analysis Of Applications, Challenges, And Emerging Directions, Yannan Lu, Weili Zeng, Wenbin Wei, Weiwei Wu, Hao Jiang Oct 2025

Urban Air Mobility Vertiports: A Bibliometric Analysis Of Applications, Challenges, And Emerging Directions, Yannan Lu, Weili Zeng, Wenbin Wei, Weiwei Wu, Hao Jiang

Faculty Research, Scholarly, and Creative Activity

Vertiports, as the foundational ground infrastructure for Urban Air Mobility (UAM), have garnered increasing scholarly attention in recent years. To examine how the existing literature has reviewed and summarized vertiport-related knowledge, this study conducts a bibliometric analysis of publications (2000–2024) from four major databases, including Web of Science and Scopus, using VOSviewer and CiteSpace. By analyzing co-citation and keyword co-occurrence patterns, the results suggest that vertiport research frontiers are shifting toward facility location, network planning, airspace and scheduling management, scalable infrastructure, and integration with ground transport systems. Scholars and institutions in the United States, China, Europe, and South Korea have …

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Ainr: Automated Intrinsic Non-Rigid Registration For Accuracy Qualification Of Complex Freeform Products In 3d Printing, Weizhi Lin, Qiang Huang Oct 2025

Ainr: Automated Intrinsic Non-Rigid Registration For Accuracy Qualification Of Complex Freeform Products In 3d Printing, Weizhi Lin, Qiang Huang

Faculty Research, Scholarly, and Creative Activity

Non-rigid shape registration identifies the optimal non-rigid transformation between an actual product and its intended design to characterize their geometric dissimilarities. This transformation is usually determined by iteratively minimizing point-wise distances to match points with point-wise rigid motion. However, freeform products may exhibit complex spatial patterns of shape deviation, leading to premature iteration termination due to tradeoffs among local regions. One solution is to segment the complex design into semantic features and perform segment-wise rigid registration. Segment boundaries are typically placed along high-curvature regions, where deviations are more likely occur in 3D printing. However, since boundaries are generally more prone …

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Introduction To Analysis: Theorems And Examples, Hidefumi Katsuura Oct 2025

Introduction To Analysis: Theorems And Examples, Hidefumi Katsuura

Faculty Research, Scholarly, and Creative Activity

This book focuses on the theoretical aspects of calculus. The book begins with a chapter on set theory before thoroughly discussing real numbers, then moves onto sequences, series, and their convergence. The author explains why an understanding of real numbers is essential in order to create a foundation for studying analysis. Since the Cantor set is elusive to many, a section is devoted to binary/ternary numbers and the Cantor set. The book then moves on to continuous functions, differentiations, integrations, and uniform convergence of sequences of functions. An example of a nontrivial uniformly Cauchy sequence of functions is given. The …

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Sjsu Erfa News, Fall 2025, San Jose State University, Emeritus And Retired Faculty Association Oct 2025

Sjsu Erfa News, Fall 2025, San Jose State University, Emeritus And Retired Faculty Association

Emeritus and Retired Faculty Association (ERFA) Newsletter

Volume 39, No 1

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Frameworks And Life Cycle Assessment For Reinforced Concrete Bridges For Sustainability In Transportation, Yu-Fu Ko, Jessica Gonzalez Oct 2025

Frameworks And Life Cycle Assessment For Reinforced Concrete Bridges For Sustainability In Transportation, Yu-Fu Ko, Jessica Gonzalez

Mineta Transportation Institute

Bridge structures are critical components of California’s transportation network, with reinforced concrete (RC) bridges being among the most widely used. Extending the lifespan of these structures can lead to significant reductions in environmental impacts. However, California’s frequent seismic activity has repeatedly exposed the vulnerability of existing RC bridges, highlighting the urgent need for seismic retrofitting and maintenance to improve infrastructure resilience against earthquakes and to increase sustainability. This research used detailed computer simulations known as nonlinear finite element models, which are highly detailed computer models, incorporating section damage indices to predict damage and assess structural deficiencies in RC bridges during …

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Wildfire Emergency Response And Evacuation Framework Using Drones: Phase I, Hovannes Kulhandjian Oct 2025

Wildfire Emergency Response And Evacuation Framework Using Drones: Phase I, Hovannes Kulhandjian

Mineta Transportation Institute

Wildfires are escalating in frequency and severity due to climate change, posing increasing threats to human life, infrastructure,and ecosystems. Traditional wildfire management systems struggle to respond effectively to rapidly evolving fire conditions. This research presents a novel, AI-powered Wildfire Emergency Response and Evacuation Framework that integrates autonomous unmanned aerial vehicles (UAVs, AKA “drones”), multi-sensor data fusion, and machine learning (ML) for real-time fire detection, evacuation planning, and search and rescue (SAR) operations. Central to the system is the Dynamic Wildfire Response Algorithm (DWRA), a hybrid decision-making framework combining AI-driven techniques including reinforcement learning (RL), genetic algorithms (GA), and deep learning …

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Machine Learning For Dissolved Oxygen Prediction In The Manawatu River Catchment, New Zealand, Imokhai T. Tenebe, Eunice O. Babatunde, Nkpa M. Ogarekpe, Egbe Etu Etu, Joshua Emakhu, Kindness E. Etu, Obiora B. Ezeudu, Oluwarotimi S. Oladele Oct 2025

Machine Learning For Dissolved Oxygen Prediction In The Manawatu River Catchment, New Zealand, Imokhai T. Tenebe, Eunice O. Babatunde, Nkpa M. Ogarekpe, Egbe Etu Etu, Joshua Emakhu, Kindness E. Etu, Obiora B. Ezeudu, Oluwarotimi S. Oladele

Faculty Research, Scholarly, and Creative Activity

Uncontrolled anthropogenic activities have increased river pollution, resulting in poor water quality and a growing need for continuous monitoring, which is time-consuming and costly. This study evaluated the accuracy of machine learning (ML) models in predicting dissolved oxygen (DO) levels, aiming to reduce field monitoring efforts and minimize the number of measured parameters. Regression models (Huber, Linear, Ridge), Bagging methods (Extra Trees, Random Forest, Decision Trees), and Boosting techniques (Gradient Boosting, Light Gradient Boosting, AdaBoost) were tested using data from three sites in the Manawatu Catchment, New Zealand. Data spanning 1989–2014 included 12 water quality variables and was split into …

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The Access Assembly: Learning Together, Building Friendships, And Strengthening Our Leadership Capacities, Chandra Turpen, Brianne Gutmann, Robert P. Dalka, Gina M. Quan, Mackenzie Carlson, Joel C. Corbo, Gabrielle Jones-Hall, Megan Marshall Smith, Devyn E. Shafer Oct 2025

The Access Assembly: Learning Together, Building Friendships, And Strengthening Our Leadership Capacities, Chandra Turpen, Brianne Gutmann, Robert P. Dalka, Gina M. Quan, Mackenzie Carlson, Joel C. Corbo, Gabrielle Jones-Hall, Megan Marshall Smith, Devyn E. Shafer

Faculty Research, Scholarly, and Creative Activity

Founded in 2014, the Access Network brings together nine student-centered, university-based programs that pursue systemic change towards a vision of a more diverse, equitable, inclusive, and accessible STEM community. Leaders at the Network-level and program-level are either current students (undergraduate or graduate) or young faculty and professional scientists, many of whom started out as student leaders in Access programs. Over the last 9 years, Access has brought people together (virtually or in-person) for an annual event called the "Assembly." Student leaders who attend the Assembly appreciate community-building and networking opportunities that help them build capacity for leading local site programming. …

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Converse Of Ptolemy’S Theorem, Hidefumi Katsuura Sep 2025

Converse Of Ptolemy’S Theorem, Hidefumi Katsuura

Faculty Research, Scholarly, and Creative Activity

In The Almagest, we found the original Ptolemy’s theorem and its proof, and we compared it to “Ptolemy’s theorem” written in two modern geometry textbooks. They are different in that the new ones include the “converse” of the original one. We noticed the hypothesis of the “converse” can be interpreted in two ways. Using this as our motivation, we establish a new theorem related to Ptolemy’s theorem in this note as follows: If four distinct points A, B, C, D are given in the three-dimensional space so that ABC is a triangle, and if |AB||CD|+|AD||BC|=|AC||BD|, then the points A, B, …

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Novel Biological Prompting Technology: Automatic Directional Control By Eye-Tracking Sensor, Guannan Liu, Justin Wang, Hsiao Chun Wu, Gaojian Huang, Anil Kumar, Yiyan Wu, Shih Yu Chang, Yue Luo Sep 2025

Novel Biological Prompting Technology: Automatic Directional Control By Eye-Tracking Sensor, Guannan Liu, Justin Wang, Hsiao Chun Wu, Gaojian Huang, Anil Kumar, Yiyan Wu, Shih Yu Chang, Yue Luo

Faculty Research, Scholarly, and Creative Activity

Biological prompting or human teleoperation have been appealing to many researchers lately. Hands-free and voice-free command or control of vehicles, aircraft, machines, robots, etc. would provide huge convenience to users and allow them for multi-tasking. In this work, we would like to dedicate to a new biological prompting function, namely automatic directional control using instantaneous eye gaze data. In this work, we would like to investigate how to apply advanced machine-learning models to design novel automatic gaze-direction identification techniques. We explore the difficulty, namely infliction with outliers and variations, in dealing with eye-tracking data and propose to transform the original …

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Ai Test Modeling For Computer Vision System—A Case Study, Jerry Gao, Radhika Agarwal Sep 2025

Ai Test Modeling For Computer Vision System—A Case Study, Jerry Gao, Radhika Agarwal

Faculty Research, Scholarly, and Creative Activity

This paper presents an intelligent AI test modeling framework for computer vision systems, focused on image-based systems. A three-dimensional (3D) model using decision tables enables model-based function testing, automated test data generation, and comprehensive coverage analysis. A case study using the Seek by iNaturalist application demonstrates the framework’s applicability to real-world CV tasks. It effectively identifies species and non-species under varying image conditions such as distance, blur, brightness, and grayscale. This study contributes a structured methodology that advances our academic understanding of model-based CV testing while offering practical tools for improving the robustness and reliability of AI-driven vision applications.

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Uav-Based Transport Management For Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, Damini Vichare Sep 2025

Uav-Based Transport Management For Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, Damini Vichare

Faculty Research, Scholarly, and Creative Activity

Highlights: What are the main findings? A smart transport management system based on UAV data integrating advanced machine learning and deep learning techniques is proposed to enhance road anomaly detection and severity classification. The system employs a comprehensive multi-stage framework, integrating a high-precision obstacle detection model, six specialized severity classification models, and an aggregation model to deliver accurate anomaly assessment, enabling strategic, data-driven road maintenance and enhanced transportation safety. What is the implication of the main finding? A scalable and efficient solution is proposed to enhance road safety and optimize transportation management through intelligent anomaly detection and severity assessment. This …

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(De)Centralized Water Futures: Key Dimensions Of Infrastructure, Governance, And Operations, Alicia Dailey Cooperman, Jenny Linder Rempel, Ellis Adjei Adams, Alida Cantor, Manuela Muñoz Fuerte, Jeremiah Osborne-Gowey, Nicole J. Wilson, Cassandra L. Workman, Melissa Beresford, Leila M. Harris, Linda E. Méndez-Barrientos, Sameer H. Shah, Amber Wutich, Justin Stoler Sep 2025

(De)Centralized Water Futures: Key Dimensions Of Infrastructure, Governance, And Operations, Alicia Dailey Cooperman, Jenny Linder Rempel, Ellis Adjei Adams, Alida Cantor, Manuela Muñoz Fuerte, Jeremiah Osborne-Gowey, Nicole J. Wilson, Cassandra L. Workman, Melissa Beresford, Leila M. Harris, Linda E. Méndez-Barrientos, Sameer H. Shah, Amber Wutich, Justin Stoler

Faculty Research, Scholarly, and Creative Activity

Water system centralization and decentralization have variously been promoted as key to achieving household water security and Sustainable Development Goal 6.1. We argue that the lack of specificity with which scholars and practitioners use the terms centralization and decentralization limits our understanding of different water system configurations and their impacts. In this Primer, we provide a framework for thinking about levels of (de)centralization across three linked system dimensions: infrastructure, governance, and operations and maintenance. We encourage those analyzing water systems to characterize (de)centralization with respect to these multiple dimensions, as well as the system's broader political-economic and hydro-climatic contexts. Emphasizing …

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Hemispheric Asymmetry Of Phase Partition In Mixed-Phase Clouds Based On Near Global-Scale Airborne Observations, Ching An Yang, Minghui Diao, Yang Shi, Xiaohong Liu Sep 2025

Hemispheric Asymmetry Of Phase Partition In Mixed-Phase Clouds Based On Near Global-Scale Airborne Observations, Ching An Yang, Minghui Diao, Yang Shi, Xiaohong Liu

Faculty Research, Scholarly, and Creative Activity

Mixed-phase clouds contribute to substantial uncertainties in global climate models due to their complex microphysical properties. Former model evaluations almost exclusively rely on satellite observations to assess cloud phase distributions globally. This study investigated mixed-phase cloud properties using near global-scale in situ observation data sets from 14 flight campaigns in combination with collocated output from a global climate model. The Southern Hemisphere (SH) shows significantly higher occurrence frequencies and higher mass fractions of supercooled liquid water than Northern Hemisphere (NH) based on observations at 0.2 and 100 km horizontal scales. Such hemispheric asymmetry is not captured by the model. The …

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

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

Spartan Daily, 2025

Volume 165, Issue 9

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Acoustic Wave Manipulation Through Sparse Robotic Actuation, Tristan Shah, Noam Smilovich, Feruza Amirkulova, Samer Gerges, Stas Tiomkin Sep 2025

Acoustic Wave Manipulation Through Sparse Robotic Actuation, Tristan Shah, Noam Smilovich, Feruza Amirkulova, Samer Gerges, Stas Tiomkin

Faculty Research, Scholarly, and Creative Activity

Recent advancements in robotics, control, and machine learning have facilitated progress in the challenging area of object manipulation. These advancements include, among others, the use of deep neural networks to represent dynamics that are partially observed by robot sensors, as well as effective control using sparse control signals. In this work, we explore a more general problem: the manipulation of acoustic waves, which are partially observed by a robot capable of influencing the waves through spatially sparse actuators. This problem holds great potential for the design of new artificial materials, ultrasonic cutting tools, energy harvesting, and other applications. We develop …

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Using Large Language Models To Investigate The Origin Of Chronic Wasting Disease, G. Kent Webb Sep 2025

Using Large Language Models To Investigate The Origin Of Chronic Wasting Disease, G. Kent Webb

Faculty Research, Scholarly, and Creative Activity

This use case reports on the impressive output, hallucinations, instability, and limitations of three Large Language Models (LLMs): ChatGPT, Gemini, and Grok. The LLMs were prompted in an investigative sequence and responses checked. The collected information supports the common theory that chronic wasting disease (CWD) in North America originated in 1967 at a research facility in Fort Collins, Colorado, where deer were reported to have been exposed to sheep with a similar disease - scrapie. Findings include that: no sheep with scrapie were detected in the area around Fort Collins prior to 1967; domestic sheep reportedly exposed to scrapie were …

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Exploring The Use And Misuse Of Large Language Models, Hezekiah Paul D. Valdez, Faranak Abri, Jade Webb, Thomas H. Austin Sep 2025

Exploring The Use And Misuse Of Large Language Models, Hezekiah Paul D. Valdez, Faranak Abri, Jade Webb, Thomas H. Austin

Faculty Research, Scholarly, and Creative Activity

Language modeling has evolved from simple rule-based systems into complex assistants capable of tackling a multitude of tasks. State-of-the-art large language models (LLMs) are capable of scoring highly on proficiency benchmarks, and as a result have been deployed across industries to increase productivity and convenience. However, the prolific nature of such tools has provided threat actors with the ability to leverage them for attack development. Our paper describes the current state of LLMs, their availability, and their role in benevolent and malicious applications. In addition, we propose how an LLM can be combined with text-to-speech (TTS) voice cloning to create …

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Deep Learning-Based Drowsiness Detection System For Driver’S Safety, Sindhu Vidyanathan Dixith, Shrikant Jadhav, Youngsoo Kim, Naveenkumar Jayakumar Sep 2025

Deep Learning-Based Drowsiness Detection System For Driver’S Safety, Sindhu Vidyanathan Dixith, Shrikant Jadhav, Youngsoo Kim, Naveenkumar Jayakumar

Faculty Research, Scholarly, and Creative Activity

Driver drowsiness is a leading contributor to road accidents, accounting for over 100,000 crashes and approximately ~1000 fatalities each year in the United States alone, as per National Safety Council (NSC). To mitigate this urgent public-safety risk, we propose a real-time Driver Drowsiness Detection System that achieves both high accuracy and fast inference on standard hardware. Our key idea is to combine two complementary deep-learning strategies: 1) a custom Convolutional Neural Network (CNN) paired with a Support Vector Machine (SVM) classifier, and 2) a lightweight transfer-learning model built upon a pre-trained convolutional backbone. We evaluate these approaches on two datasets: …

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Alameda Song Sparrow Habitat Use Of Salt Pond Restoration Sites In South San Francisco Bay, Bradley A. Speno Aug 2025

Alameda Song Sparrow Habitat Use Of Salt Pond Restoration Sites In South San Francisco Bay, Bradley A. Speno

Master's Theses

Restoration is acknowledged worldwide as a conservation need to return ecosystem functions. However, projects require monitoring to track system changes and assess restoration progress. In the San Francisco Bay, several large restoration projects are implementing plans to return salt-producing ponds to the historical ecosystem, tidal salt marsh. The Alameda song sparrow (Melospiza melodia pusillula), a California species of special concern, has been documented to use restored and historic marshes, but their use of restored salt ponds is not fully understood. The birds’ use of restored marshes may be a useful measure of restoration progress. This research investigated the relationships comparing …

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Dynamics And Lipid Membrane Coupling Of The Ras-Raf Complex Revealed Via Multiscale Simulations, Timothy S. Carpenter, Fikret Aydin, Chris Neale, Que N. Van, Xiaohua Zhang, Harsh Bhatia, Jason W. Sidabras, Peter H. Frank, Konstantia Georgouli, Jeremy O.B. Tempkin, Violeta Burns Casamayor, Gulcin Gulten, Rebika Shrestha, Debanjan Goswami, Francesco Di Natale, Joseph R. Chavez, Liam G. Stanton, For Full Author List, See Comments Below Aug 2025

Dynamics And Lipid Membrane Coupling Of The Ras-Raf Complex Revealed Via Multiscale Simulations, Timothy S. Carpenter, Fikret Aydin, Chris Neale, Que N. Van, Xiaohua Zhang, Harsh Bhatia, Jason W. Sidabras, Peter H. Frank, Konstantia Georgouli, Jeremy O.B. Tempkin, Violeta Burns Casamayor, Gulcin Gulten, Rebika Shrestha, Debanjan Goswami, Francesco Di Natale, Joseph R. Chavez, Liam G. Stanton, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

To gain molecular and mechanistic insights into initiation of the RAS-RAF signaling cascade, we developed and used a combination of multiscale simulation and experimental approaches. The influence and impact of the membrane on RAS and RAF proteins is a factor we are just beginning to understand and appreciate in more detail. Molecular simulation is an ideal methodology to further study this complicated relationship between the membrane and associated proteins. Our previous work using Multiscale Machine-learned Modeling Infrastructure investigated different lipid compositions solely around the KRAS4b protein and the interplay between protein behavior and these membrane environments. Multiscale Machine-learned Modeling Infrastructure …

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A Closer Look At The Relationship Between Cultural Intelligence And Organizational Citizenship Behaviors, Lesli B. Quiroz Aug 2025

A Closer Look At The Relationship Between Cultural Intelligence And Organizational Citizenship Behaviors, Lesli B. Quiroz

Master's Theses

As organizations—particularly in the United States—become more multicultural due to globalization, they increasingly rely on individuals' ability to succeed in complex, cross?cultural environments. Cultural intelligence (CQ), or the ability to successfully adapt to unfamiliar cultural settings, has been previously related to expatriate cross-cultural adjustment, group effectiveness, and more recently, to organizational citizenship behaviors (OCB), which are voluntary extra-role workplace behaviors that lead to positive employee and organizational outcomes. This study mainly sought to theoretically expand the limited research on the relationship between CQ and OCB with some research questions. In a sample of 93 participants based in California, results found …

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The Sketches Of Infinite Data And Algorithms For Real-Time Data Insights, Vishnu S. Pendyala Aug 2025

The Sketches Of Infinite Data And Algorithms For Real-Time Data Insights, Vishnu S. Pendyala

Open Educational Resources

How are machine learning algorithms able to answer questions from any nook and corner of the World Wide Web? How are trending hashtags from the near infinite microblog posts, unique visitors and other distinct counts in the near infinite website traffic determined? How do blogging websites avoid recommending articles a user has previously read? In general, how can we answer complex queries about enormous data streams without storing them entirely, in real-time? The answer often lies in clever approximation algorithms and data "sketches" that capture essential properties using vastly reduced space. The relentless flow of data in modern systems indeed …

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Modeling Lensed Quasars With Neural Posterior Estimation: Complex Mass Models, Logan C. O’Brien Aug 2025

Modeling Lensed Quasars With Neural Posterior Estimation: Complex Mass Models, Logan C. O’Brien

Master's Theses

The Vera C. Rubin Observatory is expected to discover ∼ 103 galaxy-scale strongly lensed AGN systems during its 10 year operation conducting the Legacy Survey of Space and Time (LSST). I use a machine learning neural posterior estimation method to automatically model these systems with the intention of using them for time-delay cosmography, to constrain the Hubble constant and, ultimately, the properties of Dark Energy. In the work shown here, the neural network that I utilize is trained on simulated lens systems with simple mass distributions that consist of a single main deflecting galaxy. I am testing the robustness of …

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The Effectiveness Of Kolmogorov–Arnold Networks In The Healthcare Domain, Vishnu S. Pendyala, Nivedita Venkatachalam Aug 2025

The Effectiveness Of Kolmogorov–Arnold Networks In The Healthcare Domain, Vishnu S. Pendyala, Nivedita Venkatachalam

Faculty Research, Scholarly, and Creative Activity

Kolmogorov–Arnold Networks (KANs) have recently emerged as a powerful alternative to traditional Artificial Neural Networks (ANNs), offering superior accuracy and interpretability, which are two critical requirements in healthcare applications. This study investigates the effectiveness of KANs across a range of clinical tasks by applying them to diverse medical datasets, including structured clinical data and time-series physiological signals. Compared with conventional ANNs, KANs demonstrate significantly improved performance, achieving higher predictive accuracy even with smaller network architectures. Beyond performance gains, KANs offer a unique advantage: the ability to extract symbolic expressions from learned functions, enabling transparent, human-interpretable models—a key factor in clinical …

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Seasonality In Terminus Ablation Rates For The Glaciers In Greenland (Kalaallit Nunaat), K. C. Aman, Ellyn M. Enderlin, Dominik Fahrner, Twila Moon, Dustin Carroll Aug 2025

Seasonality In Terminus Ablation Rates For The Glaciers In Greenland (Kalaallit Nunaat), K. C. Aman, Ellyn M. Enderlin, Dominik Fahrner, Twila Moon, Dustin Carroll

Faculty Research, Scholarly, and Creative Activity

Marine-terminating glaciers of Greenland (Kalaallit Nunaat) have been losing mass since the 1990s, with a substantial portion caused by the effects of dynamic change. Conventional assessments of dynamic mass loss, however, often ignore the influence of terminus advance or retreat on the timing of mass loss. Here, we construct and analyze a decade (2013-2023) of monthly ice flux driven both by temporal variability in ice flow (i.e., discharge) and terminus position change - collectively called terminus ablation - for 49 marine-terminating glaciers in Greenland. We calculate terminus ablation rates using open-source datasets, including terminus position, ice surface elevation, ice thickness, …

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Quantifying Erosion Rates Of The Mission Hills Along The Calaveras, Mission, And Hayward Faults In Northern California To Better Understand The Role Of Fault Geometry On Surface Topography, Ian Duncan Lord Aug 2025

Quantifying Erosion Rates Of The Mission Hills Along The Calaveras, Mission, And Hayward Faults In Northern California To Better Understand The Role Of Fault Geometry On Surface Topography, Ian Duncan Lord

Master's Theses

The San Francisco Bay Area lacks publications on erosion rates and their relationship to restraining bend fault geometry. This thesis presents a detailed geochronologic study of erosion rates from the Mission Hills along the Calaveras, Mission, and Hayward faults located northeast of San Jose, California. The goals are to provide erosion rate values where none currently exist and to gain a better understanding of how fault geometry influences topography along restraining bends. To quantify the erosion rate of these faults, river sediments containing 10Be were collected from 14 catchments using well-established protocols. Of the successfully processed samples, the erosion rates …

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Book Review On The Worlds Of Classical Chinese Aesthetics (By Paul R. Goldin), Lin Wang Aug 2025

Book Review On The Worlds Of Classical Chinese Aesthetics (By Paul R. Goldin), Lin Wang

Comparative Philosophy

No abstract provided.

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