Digital Commons Network^™

Quality Improvement Project: The Critical Role Of Provider Knowledge In The Golden Hour, Kimberly Mcglothan

Doctor of Nursing Practice Projects

Maternal and infant mortality rates in the Southern United States remain disproportionately high, and inconsistent implementation of the Golden Hour, defined as uninterrupted skin to skin contact for at least the first hour after birth, continues to limit its evidence based maternal and neonatal benefits. The aim of this Doctor of Nursing Practice (DNP) quality improvement project was to evaluate the impact of a structured provider education intervention on Golden Hour compliance and provider confidence. Guided by Benner’s Novice to Expert Theory and implemented using Kotter’s 8-Step Change Model, a quantitative, quasi experimental pre-post design was used. The project was …

Section 9 Of The Endangered Species Act (Esa): History Of Harm, Maxwell Lee Hirrill

University of Montana Conference on Undergraduate Research (UMCUR)

Since its passage, the Endangered Species Act (ESA) has held the unofficial title of the strongest law for environmental protections. This Act, passed in 1973, contains powerful language, with one word standing out among them all: "take" found in section 9. Section 16 U.S.C. § 1532(19) defines take as "to harass, harm, pursue, hunt, shoot, wound, kill, trap, capture, or collect, or attempt to engage in any such conduct." The definition of harm has been interpreted in different ways over the years, with some interpretations granting it more power and others limiting it. A particular point of contention within the …

Changes In Microbial Community Biomarkers And Tree Growth After The Cessation Of Long-Term Experimental Nitrogen Deposition To Northern Hardwood Forests, Andrew Burton, Eileen C. Reeves, Katherine E. Higdon, Jennifer R. Eikenberry

Michigan Tech Research Data

Four sugar maple dominated northern hardwood sites in Michigan received
experimental nitrogen (N) deposition for twenty-four years at a rate of
3 g N m^-2 y^-1 .These chronic N additions broadly suppressed soil
microorganisms and increased tree diameter growth. After the 2017 growing
season, the long-term N additions were halted. To assess recovery of the
soil microbial community in response to this change, phospholipid fatty
acid (PLFA) and neutral lipid fatty acid (NLFA) biomarkers indicative of
various microbial groups were examined in soil and roots at the study
sites in 2018 and 2020.In addition, tree diameter growth was measured
annually …

2026 Genz Story Expression Projects: Linda Schwab, Sindee Kerker

GenZ Story Expression Projects eBooks

On March 23, 2026, Lynn University held its 15th GenZ Story Expression Workshop. Altogether, there were approximately 126 students from 8 different classes with 10 faculty, one staff, and serving as facilitators for this event. This year’s Holocaust survivor, Linda Schwab, shared her story with the workshop participants.

Nmoer Image Log, Monika Dziamka

Publishing Collection

The image log documents visual assets selected for inclusion in an NMOER educational resource, providing structured metadata to support accessibility, licensing compliance, and production planning. The log includes details such as figure number, title, caption, alternative text, source, copyright and permission status, and notes for both production and author review. The recorded example features an Ikigai diagram illustrating the intersection of passion, mission, profession, and vocation, accompanied by descriptive alt text for accessibility. Licensing is identified as public domain, with notes indicating that a redraw using a blue and purple color palette is recommended while confirming whether existing text colors …

Ratfish (Chimaera Monstrosa) Chondocranium, Riley B. Glogowski, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

The Intricate Dance Of Emotions And Psychophysiology: Unveiling The Secrets Of Microexpressions, Jaiteg Singh, Deepika Sharma, Babar Shah, Sukhjit Singh Sehra, Farman Ali, Irfan Hussain

All Works

Background: Emotion recognition plays a pivotal role in behavioral analysis, mental health assessment, and human-computer interaction. Micro-expressions, which are brief and involuntary facial movements, offer valuable insights into concealed emotions. However, validating micro-expressions remains a challenge due to their subtlety and short duration. This study aims to enhance the validation and classification of micro-expressions by integrating electromyogram (EMG) signals with facial action units (AUs). Methods: EMG data was collected using the EMG Muscle Sensor Module V3.0, interfaced with an Arduino Mega 2560 microcontroller. To ensure signal clarity, various data filtration techniques were applied to eliminate noise, motion artifacts, and baseline …

Hls–Phenocam Land Surface Phenology: Code And Data Release. Data Supporting The Manuscript Enhanced Land Surface Phenology Detection In Western U.S. Drylands By Fusing Harmonized Landsat And Sentinel-2 Observations With Near-Surface Phenocam Time Series., Yuxia Liu, Xiaoyang Zhang, Y. Shen, Yongchang Ye, Shuai An

Global Land Surface Season Data Sets

DOI: https://www.doi.org/10.62812/CEEX1495

The data is for the paper "Enhanced land surface phenology detection in western U.S. drylands by fusing Harmonized Landsat and Sentinel-2 observations with near-surface PhenoCam time series."  which has been submitted to the journal Remote Sensing of Environment.

The downloadable file contains: 

README file that provides an overview of all all supporting files.
Data code description for reviewers
Three folders containing data

File type : zip/application 
File size :  1.3MB

Between Campus And Quiet Vr, Kailan Sindelar

UNF Faculty Research and Scholarship

As a part of the Lower St. Johns watershed, the water that flows through UNF's wetlands, trails, gardens, and the rest of campus joins the St. Johns River to meet the Atlantic ocean. Follow a flow from the campus of the University of North Florida (UNF) to the ocean through the eyes of students as they share what they've learned about transitioning to college, and about the wetlands in which they find themselves.

Trogs-26 Test Images, Aaron Hershkowitz, Nicholas Howe, Bebe Cosgrove, Tajhini Brown

Data

No abstract provided.

Amine-Conjugated Fret Coumarin-Cyanine Ratiometric Probes For Sensitive Viscosity And Hsa Imaging In Live Cells And Tissues, Mohamed Mahmoud, Mahmood Norouzi, Adonis Amoli, Sheng Su, Christina You, Yan Zhang, Isabelle Knighton, Athar Ata, Thomas Werner, Haiying Liu

Michigan Tech Research Data

We designed and synthesized two novel ratiometric near-infrared fluorescent probes, probe A and probe B, tailored for sensitive detection of intracellular viscosity and human serum albumin (HSA) dynamics. Probe A integrates a coumarin donor with a cyanine acceptor to enable ratiometric fluorescence changes upon HSA binding, exhibiting increased visible emission and decreased near-infrared fluorescence. Probe B is engineered with a hemicyanine scaffold that responds to viscosity changes by enhancing visible fluorescence and moderately increasing near-infrared emission, allowing precise ratiometric sensing of microenvironmental viscosity. Both probes show excellent selectivity against biologically relevant amino acids, metal ions, and anions, and exhibit …

The Waldo Dataset, Mary E. Koone, Rosie Kallie, Vassilis Athisos, Laurel S. Stvan

Computer Science and Engineering Datasets - Archive

Distinct from the task of predicting the author of a document (authorship attribution), we focus on addressing the issue of how to estimate the similarity between the written language styles of authors. To do so, we present a dataset of metadata derived by asking human annotators, who were presented with three documents, to identify which two were written by the same author and which was written by a different author. The dataset has over 400 such annotations, creating a companion to the Amazon Web Services (AWS) customer review dataset, laying the groundwork for crowdsourcing applications to other natural language processing …

Recombinant Hagfish Intermediate Filament Proteins Enable Neural Culture Substrates That Promote Neurite Extension And Reduce Oxidative Stress, Justin Jones, Kristin Durrant

Browse all Datasets

This dataset supports the production, characterization, and biological validation of a novel recombinant hagfish intermediate filament (rHIF) protein functionalized with spider silk motifs (rHIF-alpha-GRGGL). The data demonstrates a scalable bioprocess resulting in a 7.76 g/L yield, high structural alpha-helicity (77.2%), and significant support for N2a cells.

Spiny Dogfish (Sqaulus Acanthias) Jaw, Courtney R. Schober, Sophia R. Oliveira, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

Resources For “Trying Something New, Redux: Revisiting The Use Adjusted Score To Evaluate A New Collection”, Jessica Minihan Rigg, Jeffrey M. Mortimore, Rachel~Anne Spencer, James Mayes, Mohammed Z. Reza

Faculty Datasets

The dataset contains a README file and assorted templates related to the study “Trying something new, redux: Revisiting the Use Adjusted Score to evaluate a new collection,” to appear in the forthcoming 2026 issue of the Charleston Conference Proceedings. See the published study for additional information, or contact the Principle Investigator. Expense information and URLs have been removed.

Privacy-Preserving Federated Feature Selection With Differential Privacy, Amir Anees, Ouns Bouachir, Safa Otoum

All Works

There is an urgent need to perform effective feature selection in distributed environments while preserving data privacy. In this paper, a new federated feature selection framework is developed to protect the privacy of input features held by multiple distributed clients, with applications in engineering systems where secure and efficient feature selection is critical in distributed environments. The proposed framework is based on federated learning and differential privacy techniques for distributed environments. The distributed clients send the noisy features’ values to the server preserving the privacy. The server then aggregates these noisy features’ values for further computations and feature selection. The …

Tiger Shark (Galeocerdo Cuvier) Jaw, Nicholas D. Burchett, Jade Mells, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

Blue Shark (Prionace Glauca) Jaw, Nicholas D. Burchett, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

Vegclassify: A Hybrid Deep Learning–Ndvi Greenspace Classification Tool And Gui, Huaqing Wang, Yawen Zhang, Jiaojiao Fu

Browse all Datasets

VegClassify is a hybrid, high-resolution greenspace classification tool integrating a fine-tuned deep learning model with automated NDVI threshold optimization. The tool improves accuracy and reduces subjectivity in vegetation classification using NAIP imagery. This graphical user interface (GUI) was developed to extend and simplify the use of the previously established greenspace image classification tool. The GUI provides an accessible, user‑friendly environment for running the VegClassify workflow without requiring users to interact directly with Python scripts or command‑line tools. It supports loading NAIP or other high‑resolution imagery, running deep‑learning–assisted NDVI threshold optimization, visualizing classification outputs, and exporting vegetation masks.

The underlying Python …

Polypeptide Sequence Effects On Virus Thermostability In Complex Coacervate Formulations, Pratik U. Joshi, Claire Decker, Arvind Sathyavageeswaran, Xianci Zeng, Hong Liu, Milad Kheirvari, Ebenezer Tumban, Lynn M. Manchester, Idris Tohidian, Eduardo Barbieri, Sarah L. Perry, Caryn Heldt

Michigan Tech Research Data

Current vaccine formulations heavily rely on cold chains to avoid
degradation during transportation and storage. Vaccines typically degrade
when exposure to temperature outside of 2 – 8°C range, leading to waste and
logistical challenges, particularly in rural areas. This study investigates
the ability of poly(lysine)- and poly(glutamate)-based peptide coacervates
to improve the thermal stability of porcine parvovirus (PPV), a model
non-enveloped viral vaccine. We hypothesized that both the length and
specific amino acid sequence of the peptides forming the coacervates would
influence the stability of PPV. Long polypeptides (400–800 mers) provided
significant protection, slowing PPV inactivation at 60°C for up …

Dataset For Geospatial Interpolation Of Soil Profile Depth In The Magic Valley, Idaho, Usa: Use Of Publicly Available Well Report Data, Akira Byrne, David P. Huber, Dylan Thompson, Josh Enterkine, Jennifer Pierce

Geosciences Research Data

Soil depth is critical to ecosystem productivity, acting as a reservoir for water, nutrients, and carbon. Deeper soils enhance water holding capacity to withstand droughts in native and agricultural systems, and provide more volume for long-term carbon sequestration, directly influencing soil health and climate regulation. This dataset scraped public well log (AKA well driller’s report) data from the Idaho Department of Water Resources (IDWR) to create a soil depth map across the Magic Valley in south-central Idaho, USA. Soils in this region are predominantly loess-derived silt-loams, underlain by undulating beds of basalt on top of deep rhyolite. Starting in the …

Supporting Data For Novel Approach For Quantifying The Impact Of Coherent Structures On The Turbulent Kinetic Energy Decay Rate, Tim Berk, Ankit Gautam

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This project investigates the influence of coherent structures on the decay of turbulent kinetic energy (TKE). The work was conducted as part of the PhD research in Mechanical Engineering by Ankit Gautam at Utah State University.

Review On Data Privacy And Security For Iot-Based Multifunctional Layers Of Cyber-Physical Systems In Smart Grids, Mohammad Kamrul Hasan, Md Mehedi Hasan, Nabeel Al-Qirim, Siti Norul Huda Sheikh Abdullah, Shayla Islam, Md Abdur Razzaque

All Works

Smart grid cyber-physical systems (SG-CPS) are intelligent platforms that incorporate IoT-enabled multifunctional layers including the physical, perception, communication, cyber, and application layers. It includes supervisory control and data acquisition, wide-area measurement systems, and advanced metering infrastructure for remote data aggregation, monitoring, and control operations. From an environmental perspective, these green technologies support two-way operations, which generate and transmit data over wired and wireless communication systems. However, this critical infrastructure faces data privacy and cybersecurity challenges. Hence, extensive research is required to address data privacy and security gaps to strengthen national grid cybersecurity and reduce economic losses. Therefore, this review highlights …

The Trial-Spacing Effect In Contingency Learning Depends On Both Duration And Frequency Of D Trials Intervening Between A, B, And C Trials, Dave Jiang, Jovin Huang, Kevin Artus, Rafi Arnob, James E. E. Witnauer, Robin A. Murphy, Santiago Castiello, Ralph Miller

Psychology Faculty Scholarship

The main file is the ReadMe file, with the attached additional files being data and analyses.

In What Style Shall I Confront Them? The Role Of Social Relationships In Social Correction Of Misinformation Among The Uk And Arab Social Media Users, Muaadh Noman, Mohamed B. Almourad, Ala Yankouskaya, Firoj Alam, Raian Ali

All Works

This study investigates how social factors influence the likelihood of employing direct or indirect communication styles when correcting misinformation on social media in two different cultural contexts, the United Kingdom (UK) and the Arab Gulf Cooperation Council (GCC) countries. We conducted an online survey, supported by vignettes, that involved 686 participants, 367 from the UK and 319 from the Arab GCC countries. Participants were presented with a misinformation scenario and asked about their likelihood of using direct or indirect communication styles to correct their acquaintances. The survey captured variations in gender similarity (same vs. different gender), social status (lower vs. …

Navigating Ethical Considerations And Implications Of Ai Chatbots In Higher Education: A Systematic Review, Ons Al-Shamaileh, Ramy Hammady, Mahmoud Abdelrahman, Omar Mubin

All Works

This systematic review explores the ethical challenges associated with the use of AI-based chatbots in higher education, focusing on their implications for students, educators, institutions, and administrative stakeholders. Following PRISMA guidelines, peer-reviewed literature published between 2014 and 2024 was systematically identified across eight major academic databases, yielding a total of 109 eligible studies. A thematic analysis of the included literature indicates that concerns related to academic integrity are most frequently discussed, alongside recurring issues involving data privacy and security, algorithmic bias, overreliance on automated systems, and the risk of inaccurate or misleading outputs. The findings further demonstrate considerable variation in …

Corporate Labor Violations: Do Ceos’ Public Charity Affiliations Matter?, Mariem Khalifa, Mehdi Khedmati, Mohammed Aminu Sualihu, Alfred Yawson

All Works

We examine the impact of CEOs’ public charity affiliations on corporate labor violations and find that public-charity-affiliated CEOs have a lower likelihood of engaging in labor violations than their non-affiliated peers. In a disaggregated analysis, we find the result to be driven primarily by wage and hour violations. This finding is validated when we compare changes in wage and hour violations around different types of CEO turnover. We further identify the promotion of a positive corporate culture and an increase in labor-related expenditures as the main channels through which CEOs’ public charity affiliations affect wage and hour violations. In addition, …

Evolving Landscape Of Respiratory Infections And Amr In The Uae: A 12-Year Nationwide Study Of Regional Burden, Epidemiologic Trends And Policy Implications, Madikay Senghore, Jens Thomsen, Najiba M. Abdulrazzaq, Wei Chen, Eveline Kaambo, Stefan Weber, Fouzia Jabeen, Godfred Antony Menezes, Carole Ayoub Moubareck, Dean B. Everett, Abiola Senok

All Works

Objectives This study characterizes the epidemiological trends and resistance profiles of respiratory tract infections (RTIs) in the United Arab Emirates (UAE) from 2010 to 2022, aiming to inform national control strategies. Method We conducted a retrospective observational study of RTI cases across 345 UAE healthcare settings using data from the national surveillance network. Pathogen identification and resistance profiling were performed using advanced diagnostics and standardized antimicrobial susceptibility testing, in accordance with Clinical and Laboratory Standards Institute (CLSI) guidelines. Results Lower respiratory tract infections (LRI) comprised most cases (73.1%; n = 100,856), including 6416 due to Mycobacterium tuberculosis , while upper …

From Farm To Plate: Q-Analysis Of Consumer Requirements In Blockchain-Based Agri-Food Supply Chains, Pouyan Jahanbin, Stephen C. Wingreen, Ravishankar Sharma, Arnob Zahid

All Works

Blockchain platforms have revolutionized the food industry by establishing a more trustworthy supply chain. By providing a secure and open record of all transactions, blockchain technology helps improve food safety. This reassures consumers who may wish to ensure that products are guaranteed to meet certain dietary or nutritional standards. However, the adaptability of existing supply chains and consumers' full adoption of such systems remains a gap in scholarly research. This field study employs Q-methodology to explore the concourse of requirements and priorities of food consumers in blockchain-based agri-food supply chains. Abductive reasoning is utilized to elaborate on the subjective perspective …

Atlantic Sharpnose (Rhizoprionodon Terraenovae) Chondocranium, Morgan Indyk, Sarah Hendricks, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.