Digital Commons Network^™

Coalescence: A Carnivore Coexistence Curriculum That Braids Indigenous & Western Ecological Knowledge Into A Relevant And Experiential Learning Opportunity For Youth, Stephanie Anne Barron

Graduate Student Theses, Dissertations, & Professional Papers

As grizzly bears (Ursus arctos horriblis) begin to reoccupy more of their historic range, and as humans and large carnivore populations continue to increase, incidences of human carnivore conflict are on the rise. A decolonial curriculum designed in collaboration with the Confederated Salish and Kootenai Tribe’s wildlife biologists stands to increase awareness of Indigenous ecological knowledge and teach youth about the importance of coexistence with carnivores. Additionally, this project could greatly influence youth perceptions of grizzly bears and other large carnivores. This research project examines the development and implementation of a carnivore coexistence curriculum for youth that is guided by …

American Indian Census Rolls: An Underutilized Source Of Historical Demographic Information On Tribal Populations, David Swanson, Jeff Tayman

Publications, Reports and Presentations

Historical information on tribal populations in the United States is incomplete. American Indians and Alaska Natives were not enumerated with the general population until the 1940 decennial census. However, Indian Census Rolls were produced for the period 1885 – 1940 under the auspices of the Bureau of Indian Affairs in the U.S. The information given in the Indian Census Rolls varies but usually includes the roll number, age, gender, tribal identity, and relationship to the head of the family. In this paper, we present background information on Indian Census Rolls and demonstrate how the digitized microfiche census roll schedules can …

Evidence That Ericoid Mycorrhizal Shrubs Can Outcompete Ectomycorrhizal Trees For Nitrogen In Tannin-Rich Litter, Kai C. Rains, Caroline Bledsoe, Tamara E. Kraus, Nina Wurzburger

School of Geosciences Faculty and Staff Publications

Mycorrhizal associations of trees play a key role in ecosystem biogeochemistry, yet we know relatively little about the nutrient acquisition strategies of ericoid mycorrhizal (ErM) shrubs, despite their prevalence in forest understories. ErM shrubs tend to produce litter with high concentrations of polyphenols, which form decay-resistant complexes with organic nitrogen (N). Some ErM fungi appear capable of producing a diverse suite of extracellular enzymes, but it is unclear whether this enables ErM shrubs to acquire the N from their own litter, and whether this ability is greater than that of ectomycorrhizal (EcM) trees, with which they commonly co-occur. Here, we …

Aquatic Invasive Species Survey And Treatment On Lake Umatilla And Lake Celilo 2024-2025 Report, Jacob Rose, Gabriel E. Campbell

Center for Lakes and Reservoirs Publications and Presentations

Flowering Rush (Butomus umbellatus) is an invasive aquatic plant in the Pacific Northwest that threatens salmon habitat. The Center for Lakes and Reservoirs staff surveyed for this and other aquatic species from 2024 and 2025 in the Columbia River in Lake Umatilla and Lake Celilo. This document summarizes their survey efforts including their protocols, data, and small-scale removal efforts.

The Next Generation, Jeremiah Chin

Articles

What would the law look like if we let children remake it? Laws govern, classify, and circumscribe children who inherit the law and its consequences. Discourses of power invoke children as rhetorical strategies to gain political favor or obviate a position—yet children are uncritically excluded from participating in the systems that control them. Children are subjected to the laws and objects of legislation, but denied the rights, autonomy, or authority to participate in the making of law and policy. Even the conceptualization of the constitutional rights of children is treated as an assumption, ill-defined and under theorized by traditional legal …

Ecosystem Functions And Services​ Landscaping For Water Quality – April 30, 2024​ Sunapee, Nh​, Julia Peterson

UNH Cooperative Extension

No abstract provided.

Assessing And Understanding Soil Characteristics​, Amy Papineau

UNH Cooperative Extension

No abstract provided.

Artificial Intelligence- Driven Fvm-Ann Model For Entropy Analysis Of Mhd Natural Bioconvection In Nanofluid-Filled Porous Cavities, N. Elsedais, M. A. Mansour, A. M. Aly, Sara Abdelsalam

Basic Science Engineering

No abstract provided.

Statistical Analysis Of Single-Cell Protein Data., Brooke L. Fridley, Simon Vandekar, Inna Chervoneva, Julia Wrobel, Siyuan Ma

Manuscripts, Articles, Book Chapters and Other Papers

Immune modulation is considered a hallmark of cancer initiation and progression, with immune cell density being consistently associated with clinical outcomes of individuals with cancer. Multiplex immunofluorescence (mIF) microscopy combined with automated image analysis is a novel and increasingly used technique that allows for the assessment and visualization of the tumor microenvironment (TME). Recently, application of this new technology to tissue microarrays (TMAs) or whole tissue sections from large cancer studies has been used to characterize different cell populations in the TME with enhanced reproducibility and accuracy. Generally, mIF data has been used to examine the presence and abundance of …

Exploring Angiotensin Ii And Oxidative Stress In Radiation-Induced Cataract Formation: Potential For Therapeutic Intervention, Vidya P. Kumar, Yali Kong, Riana Dolland, Sandra R. Brown, Kan Wang, Damian Dolland, David Mu, Milton L. Brown

Department of Biomedical and Translational Sciences Faculty Publications

Radiation-induced cataracts (RICs) represent a significant public health challenge, particularly impacting individuals exposed to ionizing radiation (IR) through medical treatments, occupational settings, and environmental factors. Effective therapeutic strategies require a deep understanding of the mechanisms underlying RIC formation (RICF). This study investigates the roles of angiotensin II (Ang II) and oxidative stress in RIC development, with a focus on their combined effects on lens transparency and cellular function. Key mechanisms include the generation of reactive oxygen species (ROS) and oxidative damage to lens proteins and lipids, as well as the impact of Ang II on inflammatory responses and cellular apoptosis. …

Student Interaction With Generative Ai: An Exploration Of An Emergent Information-Search Process, Ryan M. Schuetzler, Justin Scott Giboney, Taylor M. Wells, Benjamin Richardson, Tom Meservy, Cole Sutton, Clay Posey, Jacob Steffen, Amanda Lee Hughes

Faculty Publications

ChatGPT, a generative artificial intelligence, is one of the fastest-adopted tools in history and has quickly become a valued tool in education. This study seeks to understand how generative artificial intelligence has changed the information search process. We collected prompts submitted to ChatGPT and thoughts about ChatGPT responses through a survey of 455 students at a US university. Using thematic analysis, we identified ways that ChatGPT changes the information search process of students by supporting diverse information needs, allowing cycling of prompt adjustments, and promoting easy adoption of results.

A Codified Liability Regime To Stimulate Greater Investment In Subpatentable Innovation, Jerome H. Reichman, Ana Santos Rutschman

Faculty Scholarship

The global intellectual property system rests on a distinction between exclusive property rights and free competition. Exclusive rights vary in strength and intensity, but the opposite of protection is almost always free competition. Distinctions of intensity are drawn in terms of the length of protection given to different subject matters plus variable lists of exceptions and limitations to exclusive rights. But the bottom line is that, when protection is not available under the existing system, free competition prevails, and vice-versa (i.e., where there is exclusivity, free competition is deferred for a specified period of time).

This Article departs from a …

Exploring International Educators' Learning About Local And Global Social Justice In A Virtual Community Of Practice, Bima Sapkota, Xuwei Luo, Muna Sapkota, Murat Akarsu, Emmanuel Deogratias, Daphne Fauber, Rose Mbewe, Fidelis Mumba, Ram Krishna Panthi, Jill Newton

School of Mathematical & Statistical Sciences Faculty Publications

In this chapter, the authors report themes that emerged when a cross-cultural team of researchers involved in a virtual international community of practice (Global Social Justice in Education-GSJE) investigated reflections on activities focused on social justice in local and global contexts. The findings suggested that the activities elicited GSJE community members' understandings of the complexities of social justice associated with naming practices, privilege, and the arts within their own and across contexts. The authors discuss implications of the activities to advance diverse educators' understanding of social justice in global and local contexts. They also unpack the opportunities and challenges that …

Use Of Hydroxychloroquine In Multidrug Protocols For Sars-Cov-2, Eleftherios Gkioulekas, Peter A. Mccullough

School of Mathematical & Statistical Sciences Faculty Publications

We review the available evidence supporting the use of hydroxychloroquine-based multidrug protocols in the treatment of COVID-19, in response to a recently published editorial in the Tasman Medical Journal.

Cleveland Innovation District: A Cippo Panel Brief, Molly Schnoke

All Maxine Goodman Levin School of Urban Affairs Publications

No abstract provided.

Tigra Scientifica, Full Issue

Tigra scientifica

Tigra scientifica, showcasing the outstanding work by Clemson University students in the Creative Inquiry course Popular Science Journalism. Science and technology shape our world in profound ways — from the rise of space tourism to the rapid development of new medical treatments. In a democracy, communicating science is essential for informed debate and decision-making, a responsibility these students have embraced with energy and skill. The magazine began in Spring 2011 under Holly Tuten, Ph.D., who founded the CI course to pass along her passion for science writing. Since then, more than 200 students from 14 majors across five colleges have …

Synthesis Ago Nanoparticles By Nd:Yag Laser With Different Pulse Energies, Munaf S. Majeed, Shaymaa M. Mahmoud Mahmoud, Raghad Majeed Rasheed, Alaa Adnan Rashad

Baghdad Science Journal

One technique used to prepare nanoparticles material is Pulsed Laser Ablation in Liquid (PLAL), Silver Oxide nanoparticles (AgO) were prepared by using this technique, where silver target was submerged in ultra-pure water (UPW) at room temperature after that Nd:Yag laser which characteristics by 1064 nm wavelength, Q-switched, and 6ns pulse duration was used to irradiated silver target. This preparation method was used to study the effects of laser irradiation on Nanoparticles synthesized by used varying laser pulse energy 1000 mJ, 500 mJ, and 100 mJ, with 500 pulses each time on the particle size. Nanoparticles are characterized using XRD, SEM, …

A New Approach For Developing Spectrophotometric Determination Of Phenylephrine Drug In Pure, Pharmaceutics And Serum Samples Using Sodium Periodate As Oxidizing Agent Via A Green Method Of Cfia/Merging Zone Technique, Shahad L. Hamed, Bushra B. Qassim

Baghdad Science Journal

The research involved a rapid, automated and highly accurate developed CFIA/MZ technique for estimation of phenylephrine hydrochloride (PHE) in pure, dosage forms and biological sample. This method is based on oxidative coupling reaction of 2,4-dinitrophenylhydrazine (DNPH) with PHE in existence of sodium periodate as oxidizing agent in alkaline medium to form a red colored product at ʎmax (520 nm). A flow rate of 4.3 mL.min-1 using distilled water as a carrier, the method of FIA proved to be as a sensitive and economic analytical tool for estimation of PHE. Within the concentration range of 5-300 μg.mL-1, a calibration curve was …

Water Treatment Using Zinc Nanoparticles And Apricot Plant Extracts From Organic And Inorganic Pollution, Suzan Muslim Abdullah, Abbas Ali Salih Al-Hamdani, Labeeb Ahmed Al-Zubaidi

Baghdad Science Journal

The apricot plant was washed, dried, and powdered after harvesting to produce a fine powder that was used in water treatment. created an alcoholic extract from the apricot plant using ethanol, which was then analysed using GC-MS, Fourier transform infrared spectroscopy, and ultraviolet-visible spectroscopy to identify the active components. Zinc nanoparticles were created using an alcoholic extract. FTIR, UV-Vis, SEM, EDX, and TEM are used to characterize zinc nanoparticles. Using a continuous processing procedure, zinc nanoparticles with apricot extract and powder were employed to clean polluted water. Firstly, 2 g of zinc nanoparticles were used with 20 ml of polluted …

Study Of The Anticancer And Antimicrobial Biological Activity Of A New Series Of Thiohydantoin Derivatives, Qusay Hussein Hays, Dakhil Zughayir Mutlaq

Baghdad Science Journal

Recently, some prostate cancer patients have acquired resistance to the second -generation drugs (anzalutamide and apalutamide) prescribed for the treatment of this disease due to the emergence of the F876L mutation, which represents a challenge to modern medicine. In this study, a new series of 2-thiohydantoin derivatives were prepared through the reaction of different derivatives of maleimide (1c-4c) with isothiocyanate derivatives. The prepared compounds were diagnosed using FT-IR,1H-NMR ,13C-NMR, Mass spectra. The prepared series compounds has been studied against prostate cancer cells. The MTT assay was used to determine the activity of the prepared compounds against prostate cancer cells. The …

Can Large Language Models Discern Evidence For Scientific Hypotheses? Case Studies In The Social Sciences, Sai Koneru, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Hypothesis formulation and testing are central to empirical research. A strong hypothesis is a best guess based on existing evidence and informed by a comprehensive view of relevant literature. However, with exponential increase in the number of scientific articles published annually, manual aggregation and synthesis of evidence related to a given hypothesis is a challenge. Our work explores the ability of current large language models (LLMs) to discern evidence in support or refute of specific hypotheses based on the text of scientific abstracts. We share a novel dataset for the task of scientific hypothesis evidencing using community-driven annotations of studies …

Identifying New Cancer Genes Based On The Integration Of Annotated Gene Sets Via Hypergraph Neural Networks, Chao Deng, Hong-Dong Li, Li-Shen Zhang, Yiwei Liu, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation

Identifying cancer genes remains a significant challenge in cancer genomics research. Annotated gene sets encode functional associations among multiple genes, and cancer genes have been shown to cluster in hallmark signaling pathways and biological processes. The knowledge of annotated gene sets is critical for discovering cancer genes but remains to be fully exploited.

Results

Here, we present the DIsease-Specific Hypergraph neural network (DISHyper), a hypergraph-based computational method that integrates the knowledge from multiple types of annotated gene sets to predict cancer genes. First, our benchmark results demonstrate that DISHyper outperforms the existing state-of-the-art methods and highlight the advantages of …

Hite: A Fast And Accurate Dynamic Boundary Adjustment Approach For Full-Length Transposable Element Detection And Annotation, Kang Hu, Peng Ning, Minghua Xu, You Zou, Jianye Chang, Xin Gao, Yaohang Li, Jue Ruan, Bin Hu, Jianxin Wang

Computer Science Faculty Publications

Recent advancements in genome assembly have greatly improved the prospects for comprehensive annotation of Transposable Elements (TEs). However, existing methods for TE annotation using genome assemblies suffer from limited accuracy and robustness, requiring extensive manual editing. In addition, the currently available gold-standard TE databases are not comprehensive, even for extensively studied species, highlighting the critical need for an automated TE detection method to supplement existing repositories. In this study, we introduce HiTE, a fast and accurate dynamic boundary adjustment approach designed to detect full-length TEs. The experimental results demonstrate that HiTE outperforms RepeatModeler2, the state-of-the-art tool, across various species. Furthermore, …

The Combined Focal Loss And Dice Loss Function Improves The Segmentation Of Beta-Sheets In Medium-Resolution Cryo-Electron-Microscopy Density Maps, Yongcheng Mu, Thu Nguyen, Bryan Hawickhorst, Willy Wriggers, Jiangwen Sun, Jing He

Computer Science Faculty Publications

Although multiple neural networks have been proposed for detecting secondary structures from medium-resolution (5–10 Å) cryo-electron microscopy (cryo-EM) maps, the loss functions used in the existing deep learning networks are primarily based on cross-entropy loss, which is known to be sensitive to class imbalances. To monitor and tune the performance of various loss functions for the secondary structure detection problem, we investigated five loss functions: cross-entropy, Focal loss, Dice loss, and two combined loss functions. Using a U-Net architecture in our DeepSSETracer method and a dataset composed of 1,355 box-cropped atomic-structure/density-map pairs, we found that a newly designed loss function …

Flexible Fitting Of Alphafold2-Predicted Models To Cryo-Em Density Maps Using Elastic Network Models: A Methodological Affirmation, Maytha Alshammari, Jing He, Willy Wriggers

Computer Science Faculty Publications

Motivation: This study investigates the flexible refinement of AlphaFold2 models against corresponding cryo-electron microscopy (cryo-EM) maps using normal modes derived from elastic network models (ENMs) as basis functions for displacement. AlphaFold2 generally predicts highly accurate structures, but 18 of the 137 models of isolated chains exhibit a TM-score below 0.80. We achieved a significant improvement in four of these deviating structures and used them to systematically optimize the parameters of the ENM motion model.

Results: We successfully refined four AlphaFold2 models with notable discrepancies: lipid-preserved respiratory supercomplex (TM-score increased from 0.52 to 0.69), flagellar L-ring protein (TM-score increased from 0.53 …

Sccad: Cluster Decomposition-Based Anomaly Detection For Rare Cell Identification In Single-Cell Expression Data, Yunpei Xu, Shaokai Wang, Qilong Feng, Jiazhi Xia, Yaohang Li, Hong-Dong Li, Jianxin Wang

Computer Science Faculty Publications

Single-cell RNA sequencing (scRNA-seq) technologies have become essential tools for characterizing cellular landscapes within complex tissues. Large-scale single-cell transcriptomics holds great potential for identifying rare cell types critical to the pathogenesis of diseases and biological processes. Existing methods for identifying rare cell types often rely on one-time clustering using partial or global gene expression. However, these rare cell types may be overlooked during the clustering phase, posing challenges for their accurate identification. In this paper, we propose a Cluster decomposition-based Anomaly Detection method (scCAD), which iteratively decomposes clusters based on the most differential signals in each cluster to effectively separate …

Retrogressive Document Manipulation Of Us Federal Environmental Websites, Lesley Frew, Michael L. Nelson, Michele C. Weigle

Computer Science Faculty Publications

Changes made to webpages can affect their retrievability. Often this is done with the intention of increasing the page's search engine ranking to improve overall access to information on the page. The Environmental Data and Governance Initiative (EDGI) created a dataset that describes changes on US federal environmental webpages between 2016 and 2020. EDGI noted that many environmental terms were deleted from the pages, but without user data, claims that page retrievability and public information access were lowered are only anecdotal. The Open Resource for Click Analysis in Search (ORCAS) dataset was created during the same time frame, from 2017 …

Identifying Patterns For Neurological Disabilities By Integrating Discrete Wavelet Transform And Visualization, Soo Yeon Ji, Sampath Jayarathna, Anne M. Perrotti, Katrina Kardiasmenos, Dong Hyun Jeong

Computer Science Faculty Publications

Neurological disabilities cause diverse health and mental challenges, impacting quality of life and imposing financial burdens on both the individuals diagnosed with these conditions and their caregivers. Abnormal brain activity, stemming from malfunctions in the human nervous system, characterizes neurological disorders. Therefore, the early identification of these abnormalities is crucial for devising suitable treatments and interventions aimed at promoting and sustaining quality of life. Electroencephalogram (EEG), a non-invasive method for monitoring brain activity, is frequently employed to detect abnormal brain activity in neurological and mental disorders. This study introduces an approach that extends the understanding and identification of neurological disabilities …

Triphlapan: Predicting Hla Molecules Binding Peptides Based On Triple Coding Matrix And Transfer Learning, Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li

Computer Science Faculty Publications

Human leukocyte antigen (HLA) recognizes foreign threats and triggers immune responses by presenting peptides to T cells. Computationally modeling the binding patterns between peptide and HLA is very important for the development of tumor vaccines. However, it is still a big challenge to accurately predict HLA molecules binding peptides. In this paper, we develop a new model TripHLApan for predicting HLA molecules binding peptides by integrating triple coding matrix, BiGRU + Attention models, and transfer learning strategy. We have found the main interaction site regions between HLA molecules and peptides, as well as the correlation between HLA encoding and binding …

Vulnerable, Recalcitrant And Resilient: A Foucauldian Discourse Analysis Of Risk And Older People Within The Context Of Covid-19 News Media, Marjorie Skoss, Rachel Batten, Patricia Cain, Mandy Stanley

Research outputs 2022 to 2026

Risk is an innate and integral part of everyday life and is present in simple, everyday occupations and complex actions. Age-related stereotypes can mean older people have little opportunity to engage in activities that present some degree of risk. The present study explores the discourse around risk and older people in the context of the COVID-19 pandemic. We investigated news media as a reflection of the dominant public discourse around older people's behaviour to identify how risk is represented in relation to occupational engagement. Texts relating to older people and COVID-19 were sourced from the West Australian newspaper for a …