Digital Commons Network^™

Perceptual Complexity As Normalized Shannon Entropy, Norberto M. Grzywacz

Psychology: Faculty Publications and Other Works

Complexity is one of the most important variables in how the brain performs decision making based on esthetic values. Multiple definitions of perceptual complexity have been proposed, with one of the most fruitful being the Normalized Shannon Entropy one. However, the Normalized Shannon Entropy definition has theoretical gaps that we address in this article. Focusing on visual perception, we first address whether normalization fully corrects for the effects of measurement resolution on entropy. The answer is negative, but the remaining effects are minor, and we propose alternate definitions of complexity, correcting this problem. Related to resolution, we discuss the ideal …

A New Error Analysis For Finite Element Methods For Elliptic Neumann Boundary Control Problems With Pointwise Control Constraints, Susanne C. Brenner, Li Yeng Sung

Faculty Publications

We present a new error analysis for finite element methods for a linear-quadratic elliptic optimal control problem with Neumann boundary control and pointwise control constraints. It can be applied to standard finite element methods when the coefficients in the elliptic operator are smooth and also to multiscale finite element methods when the coefficients are rough.

Beyond Water Surface Profiles: A New Iterative Methodology For 2d Model Calibration In Rivers Using Velocity Data From Multiple Cross-Sections, Fabian Rivera-Trejo, Gabriel Soto-Cortes, Kory M. Konsoer, Eddy J. Langendoen, Gaston Priego-Hernandez

Faculty Publications

Observed longitudinal water-surface profiles are commonly used to calibrate river hydrodynamic models, relying on assumptions of lateral uniformity in water surface elevation and velocity distribution. While suitable for 1D models, this approach has limitations in regard to 2D model calibration. When 2D flow measurements are available, a more robust quantitative evaluation is necessary to assess model accuracy. This study introduces a novel methodology to improve 2D model calibration and evaluate performance. High-resolution bathymetric and hydrodynamic data collected with a multibeam echosounder (MBES) and acoustic Doppler current profiler (ADCP) were aligned to compare observed and simulated flow velocities at matching spatial …

Flow And Heat Transfer Experimental Study For 3d-Printed Solar Receiving Tubes With Helical Fins At Internal Surface, Fouad Haddad, Naznin Nuria Afrin, Jianzhi Li, Peiwen Li, Bharath Pidaparthi, Samy Missoum, Ben Xu

Manufacturing & Industrial Engineering Faculty Publications

3D-printing technology was applied to fabricate novel solar thermal collection tubes that have internal heat transfer enhancement fins and external surfaces with high solar absorptivity and low emissivity due to the ability to use different materials in one tube. Helical fins were selected to introduce circumferential flow and thus minimize the circumferential temperature difference of the tube that receives sunlight on one side. The structures of the helical fins were previously optimized from computational fluid dynamics (CFD) analysis with the objective of low entropy production rate by looking for high heat transfer coefficient and relatively lower pressure loss. High-temperature alloy, …

When Silence Speaks: Understanding The Bystander Effect In The Digital Age, Sandy G. Boles

SPARK Symposium Presentations

The bystander effect has long shaped social movements, influencing whether individuals take action or remain passive in moments of crisis. In the digital age, social media has redefined activism, raising the question: Does online engagement mobilize individuals toward meaningful action, or does it foster a culture of passive participation, creating a culture of 'keyboard warriors' who express support online without taking direct action? This study aimed to explore the intersection of social media and activism, investigating whether digital platforms amplify or diminish the bystander effect. A mixed-methods survey was conducted to examine this relationship by assessing social media engagement, activism …

Controlling Structural Phases Of Sn Through Lattice Engineering, Chandima Kasun Edirisinghe, Anjali Rathore, Taegeon Lee, Daekwon Lee, An Hsi Chen, Garrett Baucom, Eitan Hershkovitz, Anuradha Wijesinghe, Pradip Adhikari, Sinchul Yeom, Hong Seok Lee, Hyung Kook Choi, Hyunsoo Kim, Mina Yoon

Physics Faculty Research & Creative Works

Topology and superconductivity, two distinct phenomena, offer unique insight into quantum properties and their applications in quantum technologies, spintronics, and sustainable energy technologies. Tin (Sn) plays a pivotal role here as an element because of its two structural phases, α-Sn exhibiting topological characteristics and β-Sn showing superconductivity. Here, we demonstrate precise control of these phases in Sn thin films using molecular beam epitaxy with systematically varied lattice parameters of the buffer layer. The Sn films exhibit either β-Sn or α-Sn phases as the buffer layer's lattice constant varies from 6.10Å to 6.48Å, spanning the range from GaSb (like InAs) to …

The Effect Of The Druze Education Reform In Israel And Druze Students’ Achievements In Higher Education, Aml Amer, Nitza Davidovitch

Journal of Comparative & International Higher Education

No abstract provided.

Science Across The Elementary Curriculum, Cora E. Fields

Undergraduate Theses

Science has increasingly become marginalized in the United States today. This is largely due to educational reforms and movements placing an emphasis on standardized testing and mastery of math and reading exclusively. This focus stems from initiatives such as the Back-to-the-Basics movement (1980s), the No Child Left Behind Act (NCLB) (2001), and the development of the Common Core standards (2010), which prioritize data collection and test results over the hands-on experiences and inquiry-based learning that good science education gives. Because of this, many of our students are not receiving consistent, meaningful access to science instruction. This limits their engagement with …

Analyzing The Use Of The (Patrol) Early Warning Model In Assessing The Financial Performance Of The Banking Sector In Iraq, Haider Ali Saif-Allah, Salah Mahdi Abbas

Journal of Economics and Administrative Sciences

This paper describes the financial performance of the banking sector in Iraq using the PATROL early warning model. The research found the strengths and weaknesses in bank operations and forecasted the financial crises using data from 2018 to 2022 to enhance performance. The indicators included capital adequacy, credit risk, profitability, organizational efficiency, and liquidity, with performance rated on a scale from "very good" to "poor." Related findings proved that the Iraqi banks would be entirely successful in financial performance regarding most indicators and scaling-high in capital adequacy, profitability, organization, and liquidity, in accordance with sound management and robust operations. However, …

Impact Tracing: Identifying The Culprit Of Misinformation In Encrypted Messaging Systems, Zhongming Wang, Tao Xiang, Xiaoguo Li, Biwen Chen, Guomin Yang, Chuan Ma, Robert H. Deng

Research Collection School Of Computing and Information Systems

Encrypted messaging systems obstruct content moderation, although they provide end-to-end security. As a result, misinformation proliferates in these systems, thereby exacerbating online hate and harassment. The paradigm of “Reporting-then-Tracing” shows great potential in mitigating the spread of misinformation. For instance, message traceback (CCS’19) traces all the dissemination paths of a message, while source tracing (CCS’21) traces its originator. However, message traceback lacks privacy preservation for non-influential users (e.g., users who only receive the message once), while source tracing maintains privacy but only provides limited traceability. In this paper, we initiate the study of impact tracing. Intuitively, impact tracing traces influential …

2025 February, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for February of 2025.

Perceptions And Measures To Improve Teaching Quality At A University In Urban Nigeria, Ndidi L. Okeke, Andrea Lee

Journal of Comparative & International Higher Education

No abstract provided.

From Values To Policy: Embracing Ethics Within The National Environmental Policy Act, Andrew Sandahl

Colorado Environmental Law Journal

No abstract provided.

Assessing Vegetation Changes And Ecosystem Impacts Of Invasive Species In Florida's Water Conservation Area 3a (2004–2024) Using Landsat Data, Gideon Tandoh

Research, Papers & Creative Work

The spread of invasive species is a concrete problem, threatening biodiversity, ecosystem integrity, and the functional status of wetlands. As these species continue to advance, it is crucial to assess their spread as well as management success through the more sophisticated invasive monitoring methodologies. This research examines the change in vegetation communities and the spread of invasive plants in the Water Conservation Area 3A (WCA-3A) using Object-Based Image Analysis (OBIA) and Support Vector Machine (SVM) classifiers on time series Landsat images. Unlike traditional pixel-based methods, OBIA enhances classification accuracy by incorporating spatial, spectral, and contextual information, enabling precise differentiation between …

Analysis Of 26 Studies Of The Impact Of Coconut Oil On Lipid Parameters: Beyond Total And Ldl Cholesterol, Mary T. Newport, Fabian M. Dayrit

Chemistry Faculty Publications

Coconut oil (CNO) is often characterized as an “artery-clogging fat” because it is a predominantly saturated fat that ostensibly raises total cholesterol (TChol) and LDL cholesterol (LDL-C). Whereas previous analyses assessed CNO based on the relative effects on lipid parameters against other fats and oils, this analysis focuses on the effects of CNO itself. Here, we review the literature on CNO and analyze 984 lipid profile data sets from 26 CNO studies conducted over the past 40 years. This analysis shows considerable heterogeneity among CNO studies regarding participant selection, the amount consumed, and the study duration. The analysis reveals that, …

The Rural Affinity Advantage: Reimagining Schools As Entrepreneurship Incubators, Gregory R. L. Hadley

The Rural Educator

This article, which combines research with lived experience, discusses how youth entrepreneurship education stands as a promising pedagogy in rural contexts. The author situates the research by sharing experiences teaching in rural schools at a time of declining enrollment and rampant outmigration. The article then explores educational pathways, through entrepreneurship education, that rural educators may follow to contribute to the cause of rural sustainability. Entrepreneurialism is positioned as a useful set of knowledge, skills, and attitudes that rural youth can use to better dictate the terms of their future, and schools are envisioned as entrepreneurship incubators.

Ahst 154.50: Surgical Pharmacology, Mary B. Mchugh

University of Montana Course Syllabi, 2021-2025

No abstract provided.

Chmy 121n.Vh1: Introduction To General Chemistry, Julia Michelle Kotler

University of Montana Course Syllabi, 2021-2025

No abstract provided.

M 115.10: Probability And Linear Mathematics, Scott Davis

University of Montana Course Syllabi, 2021-2025

No abstract provided.

Project Title: Maximizing The Volume Of A Cardboard Box To Save Trees– An Application Of Polynomial Functions To Address Global Issues [Mathematics], Lucie Mingla

Open Educational Resources

MAT 115 College Algebra & Trigonometry/Precalculus

Project Title: Maximizing the Volume of a Cardboard Box to Save Trees– An Application of Polynomial Functions to Address Global Issues

Reflective Narrative:

This project was inspired by my participation in the "Designing and Implementation of STEM Co-Curricular Activities" CTL seminar in Spring 2023. I am grateful to Drs. Bukurie Gjoci, Daniel Gertner, Ingrid Veras, and Midas Tsai, along with fellow participants, for their invaluable feedback that helped shape its development. The project was implemented in two College Algebra and Trigonometry courses. I participated in two seminars to further develop this project. The Community …

Sex-Specific And Regional Analysis Of Heart Disease Prediction Using Machine Learning Algorithms: Insights From The Uc Irvine Public Heart Disease Datasets (Cleveland And Long Beach), Jonathan Asanjarani

Dissertations, Theses, and Capstone Projects

For this capstone project, I investigated how well machine learning models can predict heart disease, while also studying how the patient’s gender affects these predictions, as well as determining how well the same model performs across different regions. This project utilizes two clinical datasets from the publicly accessible UCI Machine Learning Repository under the collection "Heart Disease." This repository is composed of data from patients across four distinct locations, capturing varying levels of heart disease severity. These datasets are part of a collection of databases, open to the public, and can be used by anyone looking to conduct empirical analysis. …

Underlying Mechanisms Of Quantum Emission In Hexagonal Boron Nitride, Enrique Alejandro Mejia Iv

Dissertations, Theses, and Capstone Projects

Quantum emitters in hexagonal boron nitride (hBN) have emerged as promising candidates for advancing numerous quantum technologies. Visible-spectrum quantum emitters, in particular, have gained significant attention due to their exceptional properties, including high brightness, observable spin structure, and highly tunable emission wavelengths. However, several challenges hold back the practical implementation of hBN-based quantum emitters in technological applications—namely, the unknown physical structure of the emitters, susceptibility to spectral wandering and blinking, and limited understanding of how to control their broad spectral distribution.

In this dissertation, we investigate the collective properties of highly defective hBN. To address the key challenges, we develop …

Solvation Thermodynamic Mapping Approaches For Computer-Aided Drug Discovery, Vjay Molino

Dissertations, Theses, and Capstone Projects

The drug discovery process is inherently long and costly, prompting the development and integration of computational tools to mitigate these challenges. One of area explored in computer-aided drug discovery is to understand the role of solvation in protein-drug binding and to develop computational tools and methods that can be integrated in the drug discovery process. Grid Inhomogeneous Solvation Theory (GIST) is a tool that provides a framework for mapping solvation thermodynamiproperties of water molecules on the protein surface.This thesis explores the use of GIST in generating pharmacophore models and elucidates the role of solvation in protein structural fluctuations.

One of …

Leveraging Collective Impact To Characterize And Identify Solutions To Cultural Challenges Within Scientific Societies, Taylor Lightner, Simone B. Soso, Candice M. Etson, Robin Mc C. Greenler, Mercy Mugo, Verónica A. Segarra

Physics: Faculty Publications

A consortium of scientific societies recently identified challenges to inclusivity within the biology communities they represent. Specifically, societies encounter difficulties collecting member demographic data effectively, integrating scientists at transitional career stages, and diversifying their leadership. In response, the Leveraging, Enhancing, and Developing Biology (LED-BIO) research coordination network (NSF 2134725) organized two meetings at the Marine Biological Laboratory in Woods Hole, MA to gather stakeholders and employ top-down and bottom-up organizational approaches to address these challenges. These meetings included Town Hall and Think Tank events to facilitate open dialogue and gather feedback on policies and programs from national organizations in attendance. …

Improved Maut Framework For Quality Evaluation Of University Party Building Work In The New Era Based On The Interval Neutrosophic Multi-Attribute Group Decision-Making, Yao Mo

Neutrosophic Sets and Systems

In the new era, the evaluation of the quality of party-building work in universities focuses on strengthening political, ideological, and organizational construction. By using a scientific evaluation system, it ensures the implementation of Party theories and policies. It emphasizes innovative methods to enhance Party members' ideological awareness and organizational skills, promoting the integration of Party building with education. This ensures the Party's leadership plays a central role in all university activities, driving comprehensive development. The quality evaluation of university party building work in the new era is a multi-attribute group decision-making (MAGDM) problem. Recently, both the MAUT method and the …

Determinant Theory Of Quadri-Partitioned Neutrosophic Fuzzy Matrices And Its Application To Multi-Criteria Decision-Making Problems, M. Anandhkumar, S. Prathap, R. Ambrose Prabhu, P. Tharaniya, K. Thirumalai, B. Kanimozhi

Neutrosophic Sets and Systems

We explore the determinant theory for Quadri-Partitioned Neutrosophic Fuzzy Matrices (QPNFMs), investigating det ( Padj P ( ) ) det ( ) P their = = det ( properties. adj P P ( ) ) . In this study, we establish that Additionally, we propose a refined method to compute the determinant of matrices with a higher number of rows and columns. Furthermore, an algorithm is developed to address decision-making problems based on QPNFMs. An illustrative example is provided to demonstrate the effectiveness of the proposed method.

Pseudo Functions In N-Cylindrical Fuzzy Neutrosophic Topological Spaces, Basker P

Neutrosophic Sets and Systems

An interpretations supplied the study investigators the current research investigation is presented coupled with an exploration subsequent to trends to whatever individuals have provided. Let’s start through a beginning to defined a new set in a space �������� called an ��������̿ ≀ incorporates the ideas of closed and open sets and examine the map of a function Δ from ��������1 to � �������2 has been stated to be ������~������(��̿)-OP, ������~������(��̿)-CL and decisively ��������̿-�������� and offer an understanding of the achieved outcomes by introducing the notion of the spaces in a � �������������’�� is referred to as ��������̿��0-space, ��������̿��1-space and ��������̿��2-space. …

Pentapartitioned Neutrosophic Soft Set With Interval Membership, Mithun Datta, Kalyani Debnath, Surapati Pramanik

Neutrosophic Sets and Systems

In this article, the concept of Interval valued pentapartitioned neutrosophic soft set (IVPNSS) has been introduced, which is a hybrid method by combining Pentapartitioned Neutrosophic set and Interval valued soft set. IVPNSS is an ordered pair of a function and an interval valued pentapartitioned neutrosophic set, which is the domain of the function and co-domain is the assembly of all the interval valued pentapartitioned neutrosophic sets (IVPNS). Additionally, some basic operations on IVPNSSs have been defined which plays an imperative role in decision making processes. Some useful properties of IVPNSS are also presented in the article. In the end, the …

Kaupa Letters: Volume 12, Issue 3, Korean American University Professors Association

KAUPA Letters

No abstract provided.

Dft Study Of The Mechanism Of Selective Hydrogenation Of Acetylene By Rhodium Single-Atom Catalyst Supported On Hy Zeolite, Melisa Su Yordanlı, Roberto Escobar, Jessica Meza, Deniz Akgül, Yuxin Zhao, Alper Uzun, Fatma Ahu Akin, Viktorya Aviyente, Abdurrahman Cagri Atesin, Tülay A. Ateşin

School of Earth, Environmental, & Marine Sciences Faculty Publications

The selectivity of acetylene hydrogenation by the Rh single-atom catalyst (SAC) supported on HY zeolite was investigated using density functional theory (DFT) and a 5/83T quantum mechanics/molecular mechanics (QM/MM) embedded cluster model. The calculated activation barrier (ΔG‡) for the oxidative addition of dihydrogen to the Rh metal center (15.9 kcal/mol) is lower in energy than that for the σ-bond metathesis of dihydrogen to the Rh—C bond (22.7 kcal/mol) and the Rh—O bond (28.4 kcal/mol). The activation barriers of the oxidative addition of subsequent dihydrogen molecules are significantly higher than that of the oxidative addition of the first dihydrogen molecule. These …