Digital Commons Network^™

Stress-Induced Bandgap Modulation In Semiconductor Quantum Wells, Saurabh Singh, Fuqian Yang

Chemical and Materials Engineering Faculty Publications

Strained semiconductor quantum wells have been an active area of research for more than three decades. However, a major part of the reported literature has shown a core focus on the theoretical and experimental investigations of their energy band structures under different internal and external perturbations, taking strain parameters as the basis and studying their resulting effects on various optoelectrical properties of the strained quantum wells. However, since stress parameters can be measured more easily and with an enhanced level of accuracy compared to strain parameters, developing a stress-based analytical framework offers distinct advantages. This study focuses on the theoretical …

Advances In Hpv Vaccination In People Living With Hiv: A Review, Megan Mooberry, J Brooks Jackson, Mary B Rysavy

Faculty, Staff and Student Publications

Human papillomavirus (HPV) is the most common sexually transmitted infection worldwide and is a leading cause of cervical, anal, penile, and oropharyngeal cancers. This review summarizes the epidemiology of HPV and the immunogenicity, clinical efficacy, and current HPV vaccination recommendations among people living with HIV (PLWH). PLWH experience a disproportionate burden of HPV-related infection and HPV-related malignancies. Although HPV vaccines have been shown to be highly effective, vaccination coverage among PLWH remains suboptimal, particularly in low- and middle-income countries. Barriers to vaccination include extended dosing schedules, limited awareness of the vaccine, and misinformation. Evidence indicates HPV vaccines are safe and …

Positive Solutions For Nonlinear Fractional Differential Equations With A Disturbance Parameter On An Infinite Interval, Zhaocai Hao, Lu Song, Martin Bohner, Qianqian Gu, Panzhen Liu

Mathematics and Statistics Faculty Research & Creative Works

This paper studies a class of integral boundary value problems of fractional differential equations with a disturbance parameter on an infinite interval. By applying the upper-lower solution method and fixed point index theory, the influence of the disturbance parameter on the existence of positive solutions is rigorously analyzed. We have obtained that the boundaryvalue problem admits at least twopositive solutions, one positivesolution or no solution. An example is provided to validate the results. The results of this study provide a significant complement and refinement to some existing findings.

Death With Dignity: A Human Right, Crystal Loza

Fresh Voices: Composition at Cal Poly

No abstract provided.

Never A Dull Moment, Crystal Loza

Fresh Voices: Composition at Cal Poly

No abstract provided.

D. The Michael Hofmann Seismic Sections -Part A, Michael H. Hofmann

1980 Flathead Lake Seismic Survey

A description of the process for constructing the full-length seismic sections from sets of scans of the paper field records made in the early 2000s by then PhD candidate Michael Hofmann.  Images of the full seismic sections follow the narrative by Robert W. Lankston.  This set of images relates to those lines labeled on the track map in Figure 4C of the Kogan (1981) thesis.

Unraveling Patch Size Effects In Vision Transformers: Adversarial Robustness In Hyperspectral Image Classification, Shashi Kiran Chandrappa, Sidike Paheding, Abel A. Reyes-Angulo

Michigan Tech Publications

Highlights: This work investigates the effect of spatial patch size on the classification accuracy and adversarial robustness of Vision Transformer-based architectures for hyperspectral image analysis. What are the main findings? Smaller patch sizes generally exhibit stronger adversarial robustness while maintaining comparable clean classification performance. Larger patch sizes tend to reduce robustness by increasing sensitivity to localized adversarial perturbations, with some dataset-dependent variations. What are the implications of the main findings? Spatial patch size is an important design consideration when applying Vision Transformers to hyperspectral image classification tasks. The findings provide practical guidance for informed patch-size selection in robust, deployment-aware transformer-based …

Magnetic Field Tuned Magnetic Order And Metamagnetic Criticality In Nonstoichiometric Ceaubi2, Halyna Hodovanets, Hyunsoo Kim, Tristin Metz, Yasuyuki Nakajima, Christopher J. Eckberg, Kefeng Wang, Jie Yong, Shanta R. Saha, David Graf, Nicholas P. Butch, Thomas Vojta, Johnpierre Paglione

Physics Faculty Research & Creative Works

We present a detailed study of magnetization, resistivity, heat capacity, and x-ray and neutron powder diffraction measurements performed on single crystals of nonstoichiometric CeAuBi₂, Au deficiency 18%, a strongly correlated antiferromagnet with Néel temperature T_N = 13.2 K. Field-dependent magnetization measurements reveal a large magnetic anisotropy at low temperatures with an easy axis along the crystallographic c axis, in which direction a spin-flop transition exhibits strong features in magnetization, specific heat, and resistivity at H_c = 75 kOe. The constructed temperature-field phase diagram connects this transition to the suppression of magnetic order, which evolves from a …

Νgan: A Deep Learning Emulator For Cosmic Web Simulations With Massive Neutrinos, Neerav Kaushal, Elena Giusarma, Mauricio Reyes

Michigan Tech Publications

Understanding the impact of neutrino masses on the evolution of the Universe is a central goal of modern cosmology. Due to their large free-streaming lengths, neutrinos significantly affect structure formation at nonlinear scales, requiring accurate theoretical predictions to fully exploit current and future galaxy surveys. However, generating such predictions through large ensembles of cosmological simulations is computationally expensive. In this work, we introduce a deep learning-based generative adversarial network, νGAN, to emulate the Universe across a range of neutrino masses from 0.0 to 1.2 eV. The generated 2D cosmic web maps are statistically independent, show no correlations with the training …

Gender Differences In College Students’ Physical Activity Self-Efficacy, Social Comparison Beliefs, And External Frames Of Reference, Ken Murfay, Sarah Pyszczynski, Sarah Collins

International Journal of Physical Activity and Health

This study examined whom college-aged individuals believe observing would more likely increase their physical activity self-efficacy (PASE) for a physical skill, whom they are more likely to compare their abilities to within a physical education (PE) class, how often they compare themselves to others in PE, and what students’ PASE scores were. Based on the mean scores for each question, students were more likely to compare themselves to a student than a teacher, friend than a non-friend, and similar or higher skilled peer than a lower skilled peer. To increase students’ confidence for a physical skill, students had higher levels …

Analytical Review Of Current Educational Public Policy For California Department Of Education Common Core Curriculum Guidelines Pertaining To Law-Related Education For Grades K–12, Aubray Mcpherson

Walden Dissertations and Doctoral Studies

The problem addressed in this study was the lack of a mandated statewide law-related education (LRE) requirement within the California K–12 curriculum. Existing research linked structured LRE exposure to greater civic knowledge, stronger legal understanding, increased social responsibility, and reduced delinquency risk among disadvantaged youth. However, a gap exists due to the absence of integrated qualitative analyses combining prior LRE research with stakeholder perceptions. The purpose of this qualitative study was to examine the potential social, emotional, and economic implications associated with implementing a statewide LRE public policy. Guided by the conceptual framework consisting of new public administration and the …

Mid-Level Perceptual Features, And Not Ambiguity, Accelerate Access To Awareness, Nadav Amir, Uri Maoz, Liad Mudrik

Psychology Faculty Articles and Research

Current theoretical accounts of perception and high-level cognition suggest that awareness plays an active role in disambiguating incoming sensory information. However, the relationship between ambiguity resolution and conscious access remains unclear, partially due to a lack of quantifiable measures of ambiguity. Here, we describe a novel paradigm designed for testing whether more ambiguous stimuli would enjoy preferential access to awareness, as indexed by the time it takes them to break interocular suppression in the breaking continuous flash suppression paradigm. In a series of three experiments, we found that stimuli’s mid-level perceptual features (most likely, visual symmetry levels), rather than their …

Https://Digitalcommons.Mtech.Edu/Superfund_Silverbowbutte/1787/, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

External Validation Of The Proliferation Saturation Index Model In Predicting Tumour Volume Regression In Patients With Non-Small Cell Lung Cancer Undergoing Radiation Therapy, Sarah Barrett, Mohammad Zahid, Conor K Mcgarry, Heiko Enderling, Gerard M Walls, Laure Marignol

Faculty, Staff and Student Publications

Background: The Proliferation Saturation Index (PSI) model is a patient-specific mathematical model designed to simulate and predict tumour volume regression (TVR) during radiation therapy (RT) using early treatment response dynamics. This study validates the PSI model in an independent external cohort of patients with non-small cell lung cancer (NSCLC) using previously derived model parameters.

Methods: In a cohort of 71 patients, treated with definitive RT alone (55Gy/20#) tumour volume measurements extracted from 6 Cone Beam CT (CBCT) scans acquired on days 1, 2 and 3 and weekly thereafter. Model predictions of TVR at final CBCT (CBCT6) were made using tumour …

2025 And 2026 - Faculty & Staff Research Symposium - Mini, Elizabeth Outka, Lidia Radi

Faculty and Staff Research Symposium Programs

September 26, 2025; November 7, 2025; January 20, 2026; and, February 20, 2026

[Excerpt from the "Welcome"]

"Dear Colleagues,

Welcome to the Faculty and Staff Mini-Symposia Series!

As we gather for the fourth and final installment of this year’s Mini-Symposia Series, we are delighted to continue this new chapter of the Faculty and Staff Research Symposium, building on the extraordinary enthusiasm of the past two years. What began as a single day of conversation and exchange has grown into a cycle of events designed to highlight the intellectual and creative work of our community in even more accessible and collaborative …

Practices, Experiences, And Insights From Major Developed Economies On Green And Low-Carbon Technology Innovation Policies, Baihe Gu, Hongqian Wang, Yuling Sun, Dan Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

The transition toward green and low-carbon development has become a significant global trend for future growth. This study focuses on policy frameworks that support innovation in green and low-carbon technologies. It reviews the practices of major developed economies, such as the United States, the European Union, the United Kingdom, and Japan in this field, and synthesizes their experiences across key dimensions such as industrial policy, innovation actors, innovation ecosystems, funding mechanisms, and international cooperation. Drawing on these insights, and taking into account China’s unique advantages and challenges in green and low-carbon technological innovation, the paper offers policy recommendations aimed at …

Promoting Water Security Of South-To-North Water Diversion Project For National Water Network, Quanfa Zhang, Guihua Liu, Chesheng Zhan, Xiaobo Ren

Bulletin of Chinese Academy of Sciences (Chinese Version)

The South-to-North Water Diversion Project is a crucial infrastructure initiative aiming at optimizing nation-wide distribution of water resources, meanwhile fostering sustainable economic and social development, and ensuring the well-being of the people. The project, with its extensive scope and high technical complexity, particularly in the middle and west routes located in biodiversity hotspots such as the Qinling Mountains and the Qinghai-Xizang Plateau, may alter local microclimates, potentially triggering meteorological disasters such as droughts, thunderstorms, and hail, along with secondary hazards. The implementation of the project may also disrupt the local hydrological conditions, disturb the balance of the existing atmospheric-vegetation-soil system, …

Artificial Intelligence-Driven Materials Science: Evolution, Framework, Dilemmas, And Breakthroughs, Yanglili Zhou, Weihua Wang, Ziwei Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence-driven materials science (AIMS) represents a revolutionary and disruptive paradigm in materials research, promising to fundamentally break through the traditional bottlenecks of research cycles and efficiency. Historically, the evolution of materials science research paradigms from empirical trial and error, theoretical modeling, and computational simulation to the new data-driven stage has been driven by innovations in cognitive tools and methods. Currently, artificial intelligence, as a disruptive cognitive tool, is fundamentally reconstructing the core elements and interaction logic of materials science: the research process achieves intelligent iteration and full-process closed-loop; the capabilities of researchers are reshaped and teams are organized; and …

Study On Strategies And Measures And Insights For Introducing Artificial Intelligence Talents In Japan, Fangxin Hu, Ru Ma, Yujun Su

Bulletin of Chinese Academy of Sciences (Chinese Version)

In response to the aging population and the need for innovation in science and technology development, Japan regards AI as a key technology to solve social problems. In addition to accelerating the training of domestic AI talents, Japan is also vigorously introducing overseas AI talents. This study sorts out and analyzes Japan’s long-term, annual, and AI-specific strategic planning for the introduction of AI talents, including Basic Plan for Science, Technology and Innovation, Comprehensive Innovation Strategy, Strategic Plan for Artificial Intelligence Technology, and AI Strategy, and explores Japan’s specific implementation measures such as updating the national residence management system, improving the …

Uranium Chemical Compound Classification Using Sub-Images And Statistical Machine Learning For Nuclear Forensics, Lee C. Lambert, Brett J. Borghetti, Abigail A. Bickley

Faculty Publications

Uranium particle analysis from Scanning Electron Microscope (SEM) imagery is a crucial tool in nuclear forensics. The particle morphology lexicon proposed by Tamasi et al. in J Radioanal Nucl Chem 307, 1611–1619 (2016) follows a standardized, manual identification process to identify particle morphology features. The present work seeks to mirror this methodology using computer feature selection from the scikit-image Python library rather than human classification. Using a random forest classifier, a 56% overall uranium true positive classification accuracy (a 39.6% balanced classification accuracy) was achieved on a test set outperforming a naïve (chance) model by 48%. The methodology introduced splits …

The Role Of Campus Symbols In College Student Belonging: A Photo-Elicitation And Photovoice Qualitative Study, Abigail W. Bradley-Tyler

USF Tampa Graduate Theses and Dissertations

This qualitative study examines the impact of campus symbols on the sense of belonging among second-year students at a public, four-year institution in Florida. This topic is relevant as there is a lack of research about positive or neutral campus symbols. Using sense of belonging and symbolic interactionism as theoretical frameworks, this study investigates how students interpret and emotionally connect with university symbols, including campus mascots, monuments, personnel, and campus traditions and rituals. Using photo-elicitation and photovoice interviews, participants engaged with photographs of official university symbols and captured images representing their campus experience. Using Braun and Clarke’s thematic analysis, the …

Fort Hays State University Tiger Weekly, February 20, 2026, University Relations

Tiger Weekly Newsletters

No abstract provided.

Editor's Introduction, Paul Benjamin Cherlin

Dewey Studies

No abstract provided.

Inference In The Context Of Inquiry, Davide Rizza

Dewey Studies

No abstract provided.

A Decolonial Approach To International Education: Insights From A Cal Poly Global Program In Palermo, Sicily, Elvira Pulitano, Iyad Jamaly

csuglobalaction

This article presents a critical intervention in the current debates about decolonizing international education. It is based on a Global Program in Palermo, Sicily, offered by Cal Poly San Luis Obispo in summer 2023. As both program creator/director and student participant in the program, the authors rely on their personal experience and insights along with expertise in coloniality and decolonial theories. The article focuses on a series of pedagogical activities led by a young group of migrants and refugees who, in the city of Palermo, have come together to form two associations designed and structured to offer new contemporary models …

Visceral Politics And Heuristic Democracy, Vincent M. Colapietro

Dewey Studies

No abstract provided.

Monitoring Strategies In Cave Microclimate Studies, Nenad Buzjak, Dalibor Paar, Aurel Persoiu, Christos Pennos, Franci Gabrovšek, Valerija Rossi

International Journal of Speleology

Cave atmospheres are spatially confined but dynamical systems that influence subterranean ecosystems, geomorphological processes, registration and preservation of climatic signals in sedimentary archives, cultural heritage, and conservation management. Despite major advances in cave climatology, methodological approaches to microclimate monitoring remain fragmented and are in some cases still shaped by the long-standing assumption that cave air temperature simply reflects the mean annual surface temperature. This paper revisits that assumption and develops an experience- and literature-based methodological framework for cave microclimate research. Key terminology is addressed by distinguishing between cave climate, cave microclimate, and cave meteorology, and by situating microclimatic variability within …

Cerebral Documents And Algorithmic Sensemaking: Searching For Expressions In Human And Artificial Cognitive Collaborations, Rebekah L. Cowell

Proceedings from the Document Academy

Generative Artificial Intelligences (AIs) and current advanced large language models (LLMs) are algorithmically designed to generate text-based conversations as conversational agents (CAs), by replicating human language and conversational communication. Pairing human cognition with generative computationally coded cognition. We have never been here before: cerebral and artificial information collaborations and processing producing expressions that may or may not become visible as second-hand/secondary source documents.

Sensemaking or sense(un)making is a unique autonomous human drive cognitively, our information processing is sensemaking in action and expressions and articulations are evidence of the sensemaking cycle. Documentation [expressed or articulated through various mediums] are a product …

Representing The Apparatus In Nineteenth And Twentieth Century Chemical Abstracting Literature, Evan F. Kuehn

Proceedings from the Document Academy

The rise of abstracting services in the 20th century is usually associated with the explosion of original scientific research and its attendant journal literature. The abstract was a tool of information dissemination and access for increasingly expansive and international work. What is often overlooked, however, is the correlation between original research and the technologies that made these advances available. Scientific apparatuses were, however, documented from the beginning, and were also a part of the rise of abstract literature in the 19^th and 20^th centuries. In this paper I examine the development of abstracts for apparatuses and patents in …

Calibrating Humanness: Winding Our Own Springs—Comparing Human-Generated And Machine-Generated Response Documents, Jodi Kearns, Jennifer Davis

Proceedings from the Document Academy

The permanent exhibitions at the the National Museum of Psychology at The University of Akron, Ohio, USA, are arranged into three strands that tell a history of American psychology: the profession, the science, and the agent of social change. Visitors see historical objects and archival documents exploring such topics as the history of mental wellness treatment, immigration intelligence testing, study of behavior, gender identity, authority, sensory perceptions, animal studies, sensations, and violence. Before leaving the museum, visitors are invited to reflect on what they learned by responding to the following prompt by writing on a note card and leaving it …