Digital Commons Network^™

Frequency-Domain Induced Polarization Responses Of Water-Bearing Anomalous Bodies In The Roadway Tunneling Direction In Coal Mines, Hu Xiongwu, Hu Yuanrong, Wu Rongxin, Yu Hao

Coal Geology & Exploration

Objective A frequency-domain induced polarization (FDIP) method enables the observation of critical electrical parameters such as frequency dispersivity and complex resistivity of geological bodies, mitigating the multiplicity of solutions in the interpretations of electrical anomalies. This method has emerged as a primary technique for electric method-based advance water detection during roadway tunneling in coal mines. However, the FDIP method primarily focuses on data observation in the direction opposite to roadway tunneling, exhibiting a limited capacity to capture geoelectric information in the roadway tunneling direction. This leads to practical challenges such as unclear orientations of water-bearing anomalous bodies. Therefore, exploring the …

Minutes, Curriculum Committee Meeting, Tuesday, February 25, 2025, Curriculum Committee

Curriculum Committee Minutes

No abstract provided.

Flow Dynamics Of Agricultural Waste Nanofibers: Shear, Temperature, And Oscillatory Insights, Bilge N. Altay, Burak Aksoy, James Atkinson, Christopher Lewis, Carlos Diaz-Acosta, Raymond Francis

Articles

The rheology and fiber size of corn stover (CS) and cleaned cotton gin trash (CGT) cellulose nanofibers (CNFs) were studied including behaviors at both moderate and extremely high shear rates, to simulate industrial processes ranging from mixing and pumping to high-speed coating, printing, and extrusion. Particle size analyzer showed that 99% of CS fibers measured around 226 nm, while 85% of CGT fibers were approximately 143 nm. Both CS and CGT CNFs formed gel-like suspensions, and shear flow tests revealed that all samples exhibited shear-thinning behavior, allowing easy flow under shear forces. Gels with higher solid content (1%) demonstrated extended …

Programs Agenda 2-25-25, Angela Brock

Programs Committee (PC)

No abstract provided.

Fatigue Behaviour Of Al 6063 Alloy In Heat Treated, Deep Cryogenic Treated And Equal Channel Angular Pressing (Ecap) Processed Conditions, Sreearravind M

Theses and Dissertations

This research focuses on improving the Low Cycle Fatigue (LCF) life of Al6063 using three different processing techniques – Heat Treatment (HT), Deep Cryogenic Treatment (DCT), and Equal Channel Angular Pressing (ECAP). Al 6063, widely used in structural applications, has limited fatigue performance, necessitating the exploration of advanced processing techniques to enhance its LCF life.

In HT phase, Al 6063 T5 samples were subjected to solid solution HT followed by air and water quenching. The air-quenched (T6A) and water-quenched (T6W) samples were subjected to precipitation hardening. The Ultimate Tensile Strength (UTS) of the T6A sample increased to 188 MPa from …

Introducing A Non-Zero Post-Humanistic Framework For Problem Solving In Design Education, Louise Kolff, Robert Haubt

Staff Scholarship - Australia & Dubai

This paper proposes an innovative framework within interdisciplinary higher education courses that integrates non-zero post-humanistic design thinking and the concept of embodiment for addressing problem solving. We explore how design education can move from a human-centered approach, to a post-humanistic more-than-human approach. Central to our approach is "non- zero" thinking, emphasising collaborative solutions that benefit all stakeholders—human and non- human—recognising our shared responsibilities within ecosystems. We also introduce the notion of qualia in design education, highlighting how immersive experiences can evoke deeper emotional responses, fostering empathy and a greater understanding of complex problems. This combined approach achieves three key outcomes …

A Review Of Racial Differences And Disparities In Ecg, Jianwei Zheng, Chizobam Ani, Islam Abudayyeh, Yunfan Zheng, Cyril Rakovski, Ehsan Yaghmaei, Omolola Ogunyemi

Mathematics, Physics, and Computer Science Faculty Articles and Research

The electrocardiogram (ECG) is a widely used, non-invasive tool for diagnosing a range of cardiovascular conditions, including arrhythmia and heart disease-related structural changes. Despite its critical role in clinical care, racial and ethnic differences in ECG readings are often underexplored or inadequately addressed in research. Variations in key ECG parameters, such as PR interval, QRS duration, QT interval, and T-wave morphology, have been noted across different racial groups. However, the limited research in this area has hindered the development of diagnostic criteria that account for these differences, potentially contributing to healthcare disparities, as ECG interpretation algorithms largely developed from major …

Variation In Thermal Tolerance Plasticity And The Costs Of Heat Exposure In The Estuarine Sea Hare, Phyllaplysia Taylori, Richelle L. Tanner, Rauri C. K. Bowie, Cynthia Y. Wang-Claypool, Jonathan H. Stillman

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Climate change is increasing average temperatures and the frequency and intensity of thermal extremes in coastal marine environments. Organisms in coastal marine habitats are accustomed to environmental fluctuations and possess physiological plasticity that may be advantageous in response to increased occurrence of extremes. To examine whether such plasticity is locally adapted to environmental conditions, we investigated the relationship between genetic diversity and thermal tolerance plasticity in 11 populations of the direct-developing intertidal sea hare, Phyllaplysia taylori, on the western coast of the United States. Using whole-organism metrics of muscle function and metabolic rate and a ddRADseq genomic approach, we …

Approved Programs 2-25-25, Angela Brock

Programs Committee (PC)

No abstract provided.

Numerical Analyses Of Construction Materials At Different Scales For Improved Resilience And Sustainability Of Civil Infrastructures, Chenchen Huang

Theses and Dissertations

The resilience and sustainability of civil infrastructure are fundamental to supporting modern society in the face of growing environmental challenges and resource limitations. This study aims to use multi-scale numerical tools to evaluate mechanical performance of different construction materials under various environmental and loading conditions. Firstly, we adopt the discrete element method (DEM) to evaluate the influence of freeze-thaw cycles (FTCs) action on the mechanical properties of rock from the micro perspective. A simplified plastic model is proposed to capture the residual deformation produced during FTCs. To further explore the deterioration of FTCs on rock, the water-contained grain-based model (GBM) …

Sdg 4.1.1 Minimum Proficiency Levels: Definition And Blueprint For Assessment [Presentation], Colin Watson, Ursula Schwantner

Monitoring Learning

A critical element for aligning assessments to the UIS eligibility criteria is mapunderstanding minimum proficiency levels (MPLs) in reading and mathematics. The Global Education Monitoring (GEM) Centre, in collaboration with the UIS, has defined clear MPL benchmarks and developed a blueprint for assessment for the 3 educational stages under SDG 4.1.1. This presentation shared the definition and blueprint with key stakeholders at the 11th meeting of the Global Alliance to Monitor Learning in Paris from 25-26 February 2025, to ensure a shared understanding of the criteria needed for meaningful global reporting.

The Diamond, February 25, 2025, Dordt University

Dordt Diamond

• Front Page:Defender Swim Team Takes on First KCAC Conference Meet; Math Professor Creates Website for Christian Educators; The Search to Lift School Spirit
• News: Dordt University's Joel Penner Named "Frosty Westering Coach of the Year"; Dordt Men's Volleyball Stays Positive Despite Season Ups & Downs
• Feature: Senior Spotlight; Wayside Chapel: A Beacon of Faith at the Side of the Road
• Arts & Entertainment: Concert Choir Presents a Night of Songs and Sweets; The Return of "The Show"
• Politics: Defining Fair Play: A Local Look on "No Men in Women's Sports"; DOGE Wreaks Havoc in Dordt …

Ucc Minutes 2-25-25, Angela Brock

UCC Agendas/Minutes

No abstract provided.

Potential Of Individual Upper-Limb Muscles To Contribute To Postural Tremor: Simulations From Neural Drive To Joint Rotation, Spencer A. Baker, Landon J. Beutler, Daniel B. Free, Dario Farina, Steven Knight Charles

Faculty Publications

Background: It is unclear which muscles contribute most to tremor and should therefore be targeted by tremor suppression methods. Previous studies used mathematical models to investigate how upper-limb biomechanics affect muscles’ potential to generate tremor. These investigations yielded principles, but the models included at most only 15 muscles. Here we expand previous models to include 50 upper-limb muscles, simulate tremor propagation, and test the validity of the previously postulated principles. Methods: Tremor propagation was characterized using the gains between tremorogenic neural drive to the 50 muscles (inputs) and tremulous joint rotations in the 7 joint degreesof- freedom (DOF) from shoulder …

Working Together For Healthy Future For University Of Minnesota, Janet Schrunk Ericksen

Campus News Archive

No abstract provided.

M2025.2.25 Motion To Approve Finalist For Faculty Trustee, Faculty Senate, Executive Committee

Faculty Senate Motions

A Motion to Approve Finalist for Faculty Trustee (2025)

Better Generalization Through Distraction? Concurrent Load Reduces The Size Of The Inverse Base-Rate Effect, Lenard Dome, Andy J. Wills

School of Psychology

The inverse base-rate effect (IBRE) is an irrational phenomenon in predictive learning. It occurs when people try to generalize what they have experienced to novel and ambiguous events. This irrational generalization manifests as a preference for rare, unlikely outcomes in the face of ambiguity. At least two formal mathematical models of this irrational preference (EXIT, NNRAS) lead to a counter-intuitive prediction: the effect reduces under concurrent load. We tested this prediction across two experiments (N1 = 72, Mage = 20.12; N2 = 160, Mage = 20.88). We confirm the prediction, but only when participants were under an obvious time constraint. …

Sin-Seg: A Joint Spatial-Spectral Information Fusion Model For Medical Image Segmentation, Siyuan Dai, Kai Ye, Charlie Zhan, Haoteng Tang, Liang Zhan

Computer Science Faculty Publications

In recent years, the application of deep convolutional neural networks (DCNNs) to medical image segmentation has shown significant promise in computer-aided detection and diagnosis (CAD). Leveraging features from different spaces (i.e. Euclidean, non-Euclidean, and spectrum spaces) and multi-modalities of data have the potential to improve the information available to the CAD system, enhancing both effectiveness and efficiency. However, directly acquiring data from different spaces across multi-modalities is often prohibitively expensive and time-consuming. Consequently, most current medical image segmentation techniques are confined to the spatial domain, which is limited to utilizing scanned images from MRI, CT, PET, etc. Here, we …

The Impact Of Using Poe Chatgpt-Based Tpack Model On English As A Foreign Language Teachers’ Performance And Their Students’ Vocabulary Learning, Faten Zahran

Higher Learning Research Communications

Objectives: The study aims to investigate the efficacy of the Poe ChatGPT-based TPACK model on EFL teachers’ performance and their students’ vocabulary learning.

Methods: I designed four instruments to gather the research data: a survey of EFL teaching skills, a teaching knowledge test, an observation checklist for assessing teacher performance, and a vocabulary knowledge test.

Results: The statistical analysis of the research data proved that EFL teachers developed their teaching performance. The statistical analysis of preparatory students’ vocabulary tests proved no differences between the experimental and control groups.

Conclusions: Utilizing the Poe ChatGPT-based Technological Pedagogical and Content Knowledge (TPACK) model …

The Outsider: A Detailed Analysis Of The Portrayal Of The Character "Paige Caldwell", Katelyn Holstad

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

An analysis of the performance of the character of "Paige Caldwell" in Paul Slade Smith's The Outsider.

Numerical Simulation Of Airflow Properties Of The Naca 6420 Airfoil Using The Transition Rans K-Ε Model, Oluwaseyi O. Alabi, Saidat A. Salisu, Oyeyemi T. Aforolagba -Balogun, Temitope A. Ladigbolu, Ayotunde O. Fasina, Anas Bala

Al-Bahir

This study investigates the airflow properties around the airfoil using numerical simulation, addressing the longstanding challenge of accurately predicting transition phenomena in turbulent flows. The importance of this research lies in its potential to improve the design and performance of airfoils in various engineering applications, such as wind turbines, and aircraft. A custom 2-dimensional airfoil model was created using Airfoil instruments, featuring a 6% maximum curvature, 40% curvature position, and 20% thickness. COMSOL Multiphysics software performed computations at a velocity of over 19 hours, with data analyzed at 60-minute intervals. The Transition turbulent model was employed to simulate the airflow …

Identifying The Use Of Smart Enforcement In Citarum River Environmental Law Enforcement, Nadia Astriani, Andri Gunawan Wibisana, Anindrya Nastiti, An Nissa Ayu Mutia, Hajriyanti Nuraini

Padjadjaran Jurnal Ilmu Hukum (Journal of Law)

The Citarum River is one of the most strategic rivers in West Java Province, Indonesia. It has been a major water supplier for various agricultural and industrial needs. Unfortunately, human activity increases around the watershed. Thus, the water quality of the river decreases due to pollution. The central and regional governments launched the Citarum Harum program to reduce pollution in the Citarum River. One of the main issues of the program is related to environmental law enforcement. A lengthy process, high case costs, and light sanctions make law enforcement through the courts ineffective. This study discusses whether the environmental law …

The Perspective Of Indonesian Law On E-Commerce: Validity, Liability And Dispute Settlement, Lintang Yudhantaka, Ghansham Anand, Manik Lingkar Katulistiwi

Padjadjaran Jurnal Ilmu Hukum (Journal of Law)

In the era of globalization, the fast development of technology enables people to complete almost all activities with technological assistance. One of the activities is commerce. Commercial activity by means of electronic media is called e-commerce. Like ordinary commerce, e-commerce requires contract to order rights and obligations of parties involving in transaction. This study aims to discuss and to elaborate legal construction of e-commerce in addition to the liability of merchant for any loss resulted. In practice, only few consumers fully understand contents of contract. Many of them experience losses either because of their negligence in understanding contract or the …

Diskursus Perumusan Ideologi Sebagai Perbuatan Pidana Dalam Rancangan Kitab Undang-Undang Hukum Pidana 2015, Rocky Marbun

Padjadjaran Jurnal Ilmu Hukum (Journal of Law)

Reformasi Hukum Pidana pasca kemerdekaan Indonesia telah dimulai sejak 1963 terhadap Kitab Undang-Undang Hukum Pidana sebagai warisan dari kolonial Belanda. Semangat kemerdekaan menginginkan adanya reformasi, bukan hanya terhadap produk hukum yang masih bernuansa kolonialisme, namun juga pada cara pandang atau pola pikir dalam memandang permasalahan hukum. Salah satu pola pikir yang mendapat pengaruh warisan kolonialisme dalam mempertahankan rust en orde (menjaga keamanan dan ketertiban) adalah dengan memasukkan instrumen hukum guna mempertahankan kestabilan politik. Sehingga negara masih memandang urgenitas dari tindakan isolasir terhadap ideologi negara dengan melakukan pelarangan terhadap penyebaran ideologi Komunisme/Marxisme/Leninisme. Faktor terbesar dari perumusan pelarangan tersebut adalah pengalaman hitam …

Perceived Flexibility And Benefits As Determinants Of Cloud Computing Adoption By Academic Libraries In South-West, Nigeria, Adeniyi Isaiah Kayode, Sunday Adebisi Oguntayo Dr.

Library Philosophy and Practice (e-journal)

Abstract

Goal: This study has examined perceived flexibility and benefits as determinants of cloud computing adoption by academic libraries in South-West, Nigeria

Methodology: This study used interviews for gathered data in a strictly qualitative manner. The system librarians in South-West Nigerian university libraries were the intended audience. Twenty (20) system librarians employed in the ICT department of nine (9) university libraries in South-West Nigeria made up the sample. There were five research questions formulated and answered.

Findings/Results: System librarians acknowledge the benefits of cloud computing adoption in academic libraries. To overcome these challenges, meticulous strategic planning is required

Microbial Source Tracking Protocols For Differentiation Of Fecal Bacteria From Cow, Deer, And Horse, Nika Shams, Michael Beach

Symposium of Student Scholars

Microbial source tracking (MST) attempts to identify specific animal sources of fecal contamination in the environment. While traditional fecal coliform enumeration can give a general measure of contamination, the specificity imparted by modern MST provides a more informative assessment of contaminants and their likelihood to affect human health outcomes.

We have been developing an MST system that detects DNA biomarkers from the gram-negative bacterial genus Bacteroides and the family Lachnospiraceae. They are strict anaerobes found in large quantities in the intestines of animals. Unlike E. coli or Enterococci, host-specific strains of Bacteroides and Lachnospiraceae exist. To this end, we …

Bloom: Behavioral Learning And Outcome Observation In Microbes, Sean Sarwar Haque, Luke Compton Wharton, Ming Lin, Razvan Voicu

Symposium of Student Scholars

Understanding how pathogens respond to physical changes in their environment is crucial for developing effective treatments and preventative measures. Current research often relies on static models or experimental data that either fail to capture the dynamic interactions within cellular environments or are not generalizable to other types of pathogens. This project aims to address this gap by creating a comprehensive cell simulation that models pathogens and their response to chemical, physical, and physiological changes. The proposed solution is a simulation that integrates biological data and computational modeling to replicate the behavior of pathogens in real time as they are affected …

Impact Of Node Failures On Productivity In Multilayer Supply Chain Networks: An Influence Network Analysis In The Indian Electronics Sector, Surendra Orupalli, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

Supply chain networks are essential for the delivery of goods and information, but disruptions such as natural disasters or trade embargoes can severely impact them. Resilience of entire networks under different types of disruptions when nodes or edges fail has been extensively studied. However, the extent to which the failure of a particular company affects another company of interest within a network has not been widely explored. To address this, we created a multilayer physical supply chain network of companies in an electronics supply chain concentrated in India. Through systematic node removal simulations, we examined how the productivity of one …

Quantum Extensions Of The Exotic Laplacians And Associated Quantum Heat Semigroups, Luigi Accardi, Un Cig Ji, Kimiaki Saito

Journal of Stochastic Analysis

No abstract provided.

Comparative Evaluation Of Linear Regression, Cross Validation And Regularization Approaches In Multivariate Data Analysis, Ransford Owusu, Felix Yeboah, Francis Effah Boateng

Data Science and Data Mining

This study evaluates linear regression and its enhanced variants incorporating cross-validation and regularization techniques for high-dimensional, multivariate datasets. We address challenges such as multicollinearity and overfitting. Methods including Ridge, LASSO, and Elastic Net are compared against ordinary least squares regression. Empirical analysis using an automobile dataset for fuel efficiency prediction shows that while OLS regression captures basic relationships, its limitations are mitigated through regularization and cross-validation, resulting in improved model interpretability. The findings provide a comprehensive framework for predictive modeling in complex data environments and offer insights into statistical methodology and practical applications in the automobile industry.