Digital Commons Network^™

Dataset On Bulk Geochemistry From Johnston Draw Borehole At Reynolds Creek Critical Zone Observatory, Kathleen A. Lohse, Mark Seyfried, Brad Carr

Reynolds Creek Critical Zone Observatory Data

A borehole to 90m was drilled in 2019 at Johnston Draw in the Reynolds Creek Critical Zone Observatory. Major and trace elements were analyzed via X-ray fluorescence (Johnson et al., 1999) and Inductively Coupled Plasma Mass Spectrometry (ICP MS) (Knaack et al. 1994), respectively, at the WSU Peter Hooper GeoAnalytical Lab. Major The depth intervals are included as well as normalized and unnormalized data.

Dataset On Physical Properties From Johnston Draw Borehole At Reynolds Creek Critical Zone Observatory, Nicholas Patton, Kathleen A. Lohse

Reynolds Creek Critical Zone Observatory Data

A borehole to 90m was drilled in 2019 at Johnston Draw in the Reynolds Creek Critical Zone Observatory in SW Idaho, USA. Physical attributes of select borehole depth intervals were were separated into coarse (> 2mm) and fine fraction (< 2 mm) size. The coarse fraction was analyzed for rock density. The fine fraction was analyzed for color, effervescence, and particle size distribution.

An Economic Assessment Of Precision Conservation With On-Farm Precision Experiment Data, Karina A. Schoengold, Badri Khanal, Taro Mieno, David S. Bullock

Cornhusker Economics

Using a novel dataset that includes within field variation in productivity, we find that partial field retirement for a prairie strip can not only provide conservation benefits, but can also be economically beneficial. We note that these results are for a single field with one year of data, and that additional years of production and fields are essential to determine how much these results can be generalized. We also note that precision systems can be costly, and a comparison of outcomes with and without this information is essential to determine if investing in such systems is profitable. However, variable rate …

Swift/Kelce Star Power Effect? Engagement Created A 96% Increase In Nfl Discussion Online With 82% Of Social Media Posts Expressing “Joy” About The Couple, Yi Luo, Jin-A Choi, Bond Benton

College of Communication and Media Scholarship and Creative Works

On August 27, 2025, Grammy winning singer Taylor Swift and football champion Travis Kelce announced their engagement. Celebrity couples inspire popular reactions with commercial implications. A research study from the Joetta Di Bella and Fred C. Sautter III Center for Strategic Communication in the College of Communication and Media at Montclair State University analyzed online reaction in the period immediately after the power couple’s engagement was announced. Results suggest overwhelming interest, positivity, and potential benefits to major brands, such as the National Football League. Findings include a 96% increase in brand references for the NFL and Kansas Chiefs on social …

Commonwealth Times 2025-08-27

Commonwealth Times, 1969-

No abstract provided.

The Illusion Of Internal Models In Biological Movement, Madhur Mangalam

Journal Articles

The concept of internal models dominates contemporary theories of sensorimotor control, with researchers across neurosciences, specifically motor control, routinely explaining observed behaviors through computational representations that supposedly exist within the nervous system. In this perspective, I present a critical examination of internal model frameworks in sensorimotor control. I argue that representational approaches mischaracterize biological systems for several fundamental reasons: (1) Internal models require homuncular interpreters, creating infinite regress problems; (2) The purported neural implementations of internal models remain empirically elusive despite decades of research; (3) Biological movement systems exhibit multiscale, nonlinear, and non-Gaussian dynamics that fundamentally defy reduction to conventional …

The Lumberjack, August 27, 2025

Cal Poly Humboldt's Student Newspaper

The student newspaper of Humboldt State University.

External Validation Of Calculator For Cesarean Delivery During Induction Of Labor, Claudia J. Ibarra, Rachel L. Wiley, Han-Yang Chen, Estefania Guthrie, Ipsita Ghose, Hector Mendez-Figueroa, Suneet P. Chauhan

School of Medicine Faculty Publications

OBJECTIVE: To validate a published risk calculator to predict cesarean delivery (CD) among singletons undergoing induction of labor. METHODS: Our retrospective cohort study included singletons undergoing induction of labor. A predicted CD score was calculated for each individual based on a previously developed calculator. External validation of the calculator was assessed by the discriminative power of the model by using the area under the receiver operating characteristic curve, and by a calibration curve. The score was categorized as less than 10%, 10% to less than 30%, and 30% or greater. The primary outcome was CD. The secondary outcomes were a …

Blackbird's Missouri River: The Pinnacle Of Omaha Diplomacy, 1790-1801, Brent Michael Wojcik

History Theses, Dissertations, and Student Creative Activity

This thesis will examine the history of Umóⁿhoⁿ (Omaha) diplomacy with a special emphasis on the era from 1790 to 1801, which is a significant period in Umóⁿhoⁿ diplomacy. Wazhiⁿ'gaçabe (Blackbird) was a influential diplomatic figure on the Great Plains. The Umóⁿhoⁿ and Wazhiⁿ'gaçabe created an era of prosperity from 1790 to 1801. The diplomatic connections at Wazhiⁿ'gaçabe disposal are unrivaled by his contemporary Indigenous leaders. This thesis will lay out evidence that supports Wazhiⁿ'gaçabe as one of the greatest negotiators and diplomats of the time. Multiple primary sources that had direct connections to Wazhiⁿ'gaçabe will be examined. The primary …

Letter To The Editor Regarding "Trends In Lumbar Epidural Injection Selection: A Survey Of Practitioner Preferences And Practice Patterns"., Ryan Triglia, Andrew Walrond, Jesse Wagner, Paul M. Kitei, Jeffrey Boyd, Jeremy I Simon

Jefferson Hospital Staff Papers and Presentations

No abstract provided.

Role Of Artificial Intelligence-Based Ocular Biomarkers In Hepatobiliary Diseases: A Scoping Review, Uday Pratap Singh Parmar, Arvind Kumar Morya, Parul C Gupta, Atul Arora, Nipun Verma

Faculty, Staff and Students Publications

Artificial intelligence (AI) has become an indispensable tool in modern health care, offering transformative potential across clinical workflows and diagnostic innovations. This review explores the sation of AI technologies in synthesizing and analyzing multimodal data to enhance efficiency and accuracy in health care delivery. Specifically, deep learning models have demonstrated remarkable capabilities in identifying seven categories of hepatobiliary disorders using ocular imaging datasets, including slit-lamp, retinal fundus, and optical coherence tomography images. Leveraging ResNet-101 neural networks, researchers have developed screening models and independent diagnostic tools, showcasing how AI can redefine diagnostic practices and improve accessibility, particularly in resource-limited settings. By …

Nf1-Depleted Er+ Breast Cancers Are Differentially Sensitive To Cdk4/6 Inhibitors, Ze-Yi Zheng, Anran Chen, Eric J Jaehnig, Meenakshi Anurag, Jonathan T Lei, Long Feng, Chenwei Wang, Diana Fandino, Purba Singh, Hilda Kennedy, Ghazal Yadav, Craig T Vollert, Jill Tsai, Xi Chen, Yi Li, Bora Lim, Alastair Thompson, Shunqiang Li, Charles E Foulds, Bing Zhang, Matthew J Ellis, Eric C Chang

Faculty, Staff and Students Publications

Neurofibromin/NF1 is a RAS (rat sarcoma virus) GTPase activating protein and estrogen receptor (ER) transcriptional corepressor. NF1low status, identified by copy number loss or low mRNA/protein expression is associated with endocrine therapy resistance in approximately 20% of ER+/HER2− (human epidermal growth factor receptor 2) early-stage breast cancers. The identification of targeted treatments for NF1low ER+/HER2− breast cancer is therefore a priority. In this study proteogenomic analysis of ER+/HER2− breast cancer demonstrated that NF1low tumors exhibited elevated cyclin-dependent kinase 4/6 (CDK4/6) activity. In cell lines, NF1-deletion had a dual effect on CDK4 activity. First, by promoting ER recruitment to CCND1 …

Context-Aware Natural Language Processing For Malware Detection, Helen Liu, Summer Mccune, Quang Duy Tran, Fabio Di Troia, Younghee Park

Faculty Research, Scholarly, and Creative Activity

As malware continues to evolve and cyber attacks become increasingly prevalent, it is critical to develop effective malware classification techniques for the detection and prevention of such malicious attacks. In our research, we approach malware classification from a natural language processing perspective to explore how various tokenization techniques on malware opcode features can enhance classification accuracy and combat malware obfuscation and evolution techniques with a deep learning approach, previously unaddressed by existing research. We bridge this gap by conducting extensive hyperparameter tuning experiments that examine the effects of five common tokenization methods, that is, White Space Separation, Top Single Words, …

Synthetic Malware Image Generation Based On Generative Models Against Zero-Day Attacks, Arjun Sudheer, Ayesha Ahmed, Fabio Di Troia, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Malware detection is a critical task for protecting our assets from attacks. However, traditional approaches to malware detection often struggle with limited datasets, which hinder the effectiveness of machine learning models. In this paper, we propose a malware image generation system designed to craft high-quality synthetic malware image samples, addressing the challenges posed by small datasets in malware detection. The proposed system utilizes two popular generative models, WGAN-GP and Diffusion, to generate synthetic malware images. It converts malware binary files into image files using four different color spaces: monochrome, grayscale, RGB, and CMYK. These images are then evaluated based on …

A New Efficient Method To Solve Bi-Objective Transportation Problems Under Fuzzy Parameters, Ramakant Sharma, Sohan Lal Tyagi

Baghdad Science Journal

The transportation problem (TP) is a classical optimization problem in operations research and logistics. Due to several factors, real-life situations may have inconsistent supply, demand, and unit transportation costs. The fuzzy numbers represent these inaccurate data. In the present scenario, the decision-maker handles several objectives simultaneously. This paper presents a simple method to solve linear Bi-Objective Transportation Problems (BOTP) using (η, ξ) interval-valued fuzzy numbers (IVFN), offering a more realistic way to model uncertainty than normal fuzzy numbers. Using the signed distance ranking, the Fuzzy BOTP was transformed into the equivalent crisp BOTP. In this paper, A method is developed …

Emerging Challenges In Adversarial Deep Learning For Computer Vision And Cybersecurity, Younis Al-Arbo, Asmaa Alqassab

Baghdad Science Journal

The emergence of "Deep Learning" DL has revolutionized the scope of cybersecurity and computer vision. However, this technology is not immune to emerging challenges that can affect its performance and security. One major challenge is the availability of large datasets for training DL algorithms. Furthermore, there is a need for improved algorithms and architectures that can effectively process such datasets. Another challenge is the constant evolution of cyber threats, which require the development of new DL models to defend against them. Additionally, the interpretability and explain ability of DL models in cybersecurity pose a significant challenge, as their black-box nature …

Low-Level Pm2.5 Exposure And Mortality In The Medicare Cohort: The Role Of Native American Beneficiaries, Judy Wendt Hess, Wenyaw Chan

Faculty, Staff and Student Publications

Fine particulate matter (PM2.5) has been associated with mortality at low concentrations, with higher per-unit risk at lower exposure levels, and no threshold of effect. We examined characteristics of Medicare decedents living in zip codes at the lowest end of the U.S. PM2.5 exposure distribution to determine whether there is a demographic, health or exposure profile of beneficiaries for whom even low PM2.5 exposure is associated with increased mortality. The study included 2,773,647 decedent cases and 27,736,470 non-decedent controls, matched on decile of long-term PM2.5 exposure from among 36 million Medicare fee-for-service beneficiaries enrolled 2015–2016. Outcomes of the study included …

The Relationship Of Organizational Health Safety Efforts Specific To Covid-19 And Perceived Organizational Support On Affective Organizational Commitment, Suzzee Meusel

Walden Dissertations and Doctoral Studies

When health safety efforts for COVID-19 are perceived negatively, the implementation of health safety efforts by employers may not be effective and are therefore likely to fail in protecting employee health, such as in the agriculture industry. Guided by social exchange theory, organizational support theory, and the theory of organizational commitment, this quantitative correlational study involved examining relationships between organizational health safety efforts specific to COVID-19 (OHSE-C19), perceived organizational support (POS), and affective organizational commitment (AOC) among poultry hatchery employees. The study entailed analyzing survey and opinion poll data from 90 participants from two poultry hatcheries in Iowa and Pennsylvania, …

The Impact Of Monetary Trend On Prices And Nominal Income In The Uk During The Covid-19 Pandemic, Sebastian Meyer

Journal of New Finance

The essay addresses the Bank of England’s (BoE) key role in explaining the development of the UK economy during the Covid-19 pandemic. Focus will be provided on the impact of changes in money growth M4 and M4x on prices and nominal income, respectively. In so doing, the reader will be equipped with some theoretical basis from a neoclassical monetarist and Keynesian point of view to understand the importance of the BoE’s decisions in the explanation of inflation and household spending along the business cycle. The policy conclusions support classical economics with monetarism.

Spartan Daily, August 27, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 3

Trends In Public Interest In Digital Musculoskeletal Care: A Google Trends Analysis Of Hinge Health From 2020 To 2025, Nikhil Maddina, Albert D. Mousad, Fawaz Ibikunle, Minna Hassaballa, Shantanu Amin, Nicole Yeroushalmi

Student Publications

Introduction

Hinge Health (Hinge Health, Inc., San Francisco, CA) and similar musculoskeletal (MSK) telehealth platforms have grown rapidly in recent years, offering a new avenue for accessible, at-home care. As digital health further integrates into routine clinical practice, understanding public interest in these services can provide insight into shifting care-seeking behaviors and potential disparities in healthcare access. This study aims to analyze Google Trends (Google LLC, Mountain View, CA) data to evaluate temporal and geographic patterns of public search interest in Hinge Health in the United States, comparing upper and lower extremity musculoskeletal injuries, with the hypothesis that interest has …

It Takes A Village: Addressing Community Needs To Implement Firearm Prohibitions For Domestic Violence Protective Order Respondents, Kellie R Lynch, Michael K Gusmano, Jeff R Temple, Sarah Lane

Faculty, Staff and Student Publications

Prohibiting domestic violence protective order (DVPO) respondents from firearms is an effective strategy to prevent intimate partner homicide. However, DVPO gun laws vary considerably across states, and the implementation of such laws is inconsistent across localities. Local context, such as resource availability, priorities, and politics, differs across types of communities and impacts the implementation of laws. We conducted in-depth key informant interviews with victim service and criminal justice professionals (N = 27) working in urban communities, rural communities, and statewide organizations to better understand: (a) what communities need to effectively prohibit DVPO respondents from firearms (i.e., the DVPO gun …

Educator, Community And Student Reflections On Community-Engaged Research And Learning For Mathematics, Gareth A. Tribello, Jason Donaghy, Jyoutir Raj, Joshua Cunningham, Daniel Pyper, David Heaney, Kai Q. Lian, Sarah Conway, Judy Williams, Emma Mckenna

Irish Journal of Academic Practice

Community-engaged research and learning (CERL) is a constructivist pedagogy that involves students working on projects in collaboration with community partners. This approach was introduced to universities in the late 1960s, and although some disciplines have wholeheartedly embraced it, it is still rarely used in mathematics. This paper consists of a series of reflections written by educators, students, community partners and university leaders about a module in a mathematics degree that includes an element of CERL. These reflections demonstrate that community partners find value in the work done by mathematics students and that university leaders are broadly supportive of efforts to …

Explaining Time Series Classifiers Through Post-Hoc Xai Methods Capturing Temporal Dependencies, Ephrem Tibebe Mekonnen

Conference papers

Time series classification is essential in domains such as healthcare and finance, where accurate predictions can have significant real-world consequences. However, in many high-stakes applications, understanding why a model makes a certain decision is just as important as the prediction itself. While deep learning models excel at capturing complex temporal patterns, their black-box nature limits transparency, making it difficult to trust and interpret their decisions. Although eXplainable AI (XAI) methods have advanced considerably for image and tabular data, applying them to time series remains challenging due to the intricate temporal dependencies and high dimensionality of the data. Post-hoc model-agnostic XAI …

Preparing Educators To Meet The Unique Needs Of Multilingual Learners, Anna Adamo

Masters Projects

Effectively educating multilingual learners requires knowledge of culturally and linguistically responsive teaching, as well as an understanding of translanguaging techniques. Research shows that the population of multilingual learners continues to grow in the United States, however, qualified educators with knowledge of the specific needs of this population are lacking. This project explores the need for ongoing support for secondary novice and non-ESL certified educators who teach multilingual students. Included in this project is a complete full year of professional development sessions ranging from culturally and linguistically responsive teaching practices, guidelines for accommodations and modifications, opportunities for classroom observations, and technology …

Entanglement-Assisted Metrology Under Spatiotemporally Correlated Quantum Noise, Francisco U. Riberi

Dartmouth College Ph.D Dissertations

Quantum sensors operating at the microscale are an emerging branch of quantum technologies where tangible experimental successes have already been reported. State-of-the-art atomic interferometers allow to measure and estimate a variety of physical parameters with unprecedented precision. In principle, exploiting the full power of quantum mechanics would lead to quantitatively better performance bounds over the best possible classical strategies under the same given set of resource constraints. However, the quantum systems' fragility to external disturbances has so far hindered most of these gains to be reached in practice, particularly in the limit of large probe number $N$. Parallel, {\em purely …

Accelerating The Fusion Workforce In The Usa, Carlos Paz-Soldan, Eva Belonohy, Troy Carter, Laleh E. Coté, Evdokiya Kostadinova, Calvin Lowe, Subash L. Sharma, Sybil De Clark, Jaydeep Deshpande, Kate Kelly, Bobbi Makani, David A. Schaffner, Kathreen E. Thome

Faculty Research, Scholarly, and Creative Activity

The fusion energy research and development landscape has seen significant advances in recent years, with important scientific and technological breakthroughs and a rapid rise of investment in the private sector. The workforce needs of the nascent fusion industry are growing at a rate that academic workforce development programs are not currently able to match. This paper presents the findings of the Workforce Accelerator for Fusion Energy Development Conference held in Hampton, Virginia, United States of America (USA), on 29-30 May 2024, which was funded by the National Science Foundation of the USA. A major goal of the conference was to …

The 9th Annual Lafora Science Symposium: A Rare Epilepsy Community Makes Progress Towards Clinical Readiness, Meredith I. Williams, Katherine J. Donahue, Pascual Sanz, Souad Messahel, Jose M. Serratosa, Jordi Duran, Roberto Michelucci, Lorenzo Muccioli, Antonio Delgado-Escueta, Viet-Hong Nguyen, Berge A. Minassian, Matthew S. Gentry

Pharmacy Faculty Articles and Research

Lafora disease (LD) is a fatal childhood progressive myoclonus epilepsy and glycogen storage disease that is caused by recessive mutations in either EPM2A or EPM2B. The hallmarks of LD are cytoplasmic, aberrant glycogen-like aggregates, called Lafora bodies (LBs), that drive disease progression. The 9th Annual Lafora Science Symposium was held in San Diego, California and brought together over 70 researchers, clinicians, academic trainees, and friends and family members of patients with LD and 80 attendees joined virtually. This symposium focused primarily on international collaborations for therapeutic development and biomarker identification and strategies for preparing the Lafora community for upcoming …

Conversations With The Ancestors: Pursuing An Understanding Of Klamath Basin Rock Art Through The Use Of Myth, The Ethnographic Record, And Local Artistic Conventions, Robert David

Anthropology Faculty Publications and Presentations

Past archaeological practices have resulted in a distorted history of Native American cultures based upon western-biased research. This has been especially apparent in the rock art of the Klamath Basin in southern Oregon and northern California. In response to this, Native and non-Native scholars are striving to develop a counter-discourse that both challenges and replaces western constructs in research on Native American communities. The result of this approach is a growing trend within the discipline that has come to be called “Indigenous Archaeology.” Critical to this approach is that Native voices are transported from the margins of the research to …

Adapting To Southwest Idaho's Shifting Wildfire Regime: Sustainable Collaboration As A Means To Socioecological Resilience, Olivia Awbrey

Dissertations and Theses

Community wildfire adaptation is happening at multiple scales across the western United States. A range of collaboratively formed groups have addressed compounding issues related to wildfire risk, forest health and land use. In Southwestern Idaho, place-based collaboratives emerging in the early 2000s have considered trade-offs between localized social and ecological needs as they approach wildfire adaptation from the bottom-up. More recently, regional partnerships have emerged that emphasize cross-boundary wildfire risk reduction to cover larger geographic areas for risk mitigation. In between these micro- and macro-scales of activity exist bridging agencies such as county and state-level programs that account for gaps …