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Engineering And Technology, Fred Haan

University Faculty Publications and Creative Works

9/21/2025 for the event, Integration of Faith and Learning, at University Pelita Harapan in Jakarta, Indonesia

Radif Corpus: A Symbolic Dataset For Non-Metric Iranian Classical Music, Maziar Kanani, Sean O’Leary, James Mcdermott

Research Outputs: 2025-Present

Non-metric music forms the core of the repertoire in Iranian classical music. Dastgā hi music serves as the underlying theoretical system for both Iranian art music and certain folk traditions. At the heart of Iranian classical music lies the radif, a foundational repertoire that organizes melodic material central to performance and pedagogy. In this study, we introduce the first digital corpus representing the complete non-metrical radif repertoire, covering all 13 existing components of this repertoire. We provide MIDI files (about 281 minutes in total) and data spreadsheets describing notes, note durations, intervals, and hierarchical structures for 228 pieces of music. …

Managing Mdls: A Report From The March 2025 Mdl Case Management Convening At Stanford Law School, Nora Freeman Engstrom, Owen Foulkes, Brianne Holland-Sergar

Faculty Journal Articles & Other Writings

Multidistrict litigation (MDL) has quietly become the defining feature of the federal civil docket, now accounting for the majority of all pending cases. Yet the judges tasked with steering these sprawling matters confront an almost impossible assignment: They must manage hundreds of thousands of claims, often with skeletal staffs, little binding guidance, and enormous pressure to deliver both efficiency and justice. This report—produced out of a March 2025 convening sponsored by the Rhode Center at Stanford Law School—confronts that reality head-on. Drawing on candid discussions among leading judges, practitioners, and scholars, it dives into four central tensions that shape MDL …

Imsa 2025 Profile, Office Of College And Academic Counseling

IMSA Profile

The nationally-ranked Illinois Mathematics and Science Academy (IMSA) develops creative, ethical leaders in science, technology, engineering and mathematics. As a teaching and learning laboratory created by the State of Illinois, IMSA enrolls academically talented Illinois students in its tuition-free residential Academy for grades 10-12. Students are challenged with a rigorous curriculum designed to develop them into problem solvers and critical thinkers. Notable IMSA alumni include YouTube Co-Founder Steve Chen, PayPal Co-Creator Yu Pan, Yelp Co-Founder Russell Simmons, SparkNotes and OkCupid Co-Founder Sam Yagan, and Hearsay Social Founder, Clara Shih.

Temporal Dynamics Of Extracellular Matrix Remodeling In Anthracycline-Induced Cardiotoxicity, Fibi Meshrkey, Somaya Y. Ibrahim, Rushita A. Bagchi, William J. Richardson

Chemical Engineering Faculty Publications and Presentations

Anthracyclines are widely used chemotherapeutic agents with proven efficacy against a broad range of malignancies, but their clinical utility is limited by a well-documented, dose-dependent cardiotoxicity. While this toxicity has traditionally been attributed to direct cardiomyocyte injury, emerging evidence highlights the pivotal role of cardiac fibroblasts (CFs) in the development and progression of anthracycline-induced cardiotoxicity. This review examines the diverse effects of anthracycline focusing on doxorubicin (DOX) and CFs across the temporal phases of cardiac injury. DOX activates fibroblast-driven extracellular matrix remodeling and promotes fibrosis through enhanced collagen production and the induction of cellular senescence, thereby exacerbating early myocardial inflammation …

Willingness To Pay For A Restored And Protected Watershed: Evidence From The Countryside, Sherrie Ann Cananua-Labid, Julie Ann M. Quilatan, Lovely Rose A. Bolante

Makara Human Behavior Studies in Asia

Climate change and human activity have severely degraded watersheds, jeopardizing their sustainability. The willingness of residents to pay for watershed management is essential for developing sustainable environmental protection efforts. This study determined the respondents' willingness to pay (WTP) for the restoration and protection (RP) of the Ulot Watershed of Samar Island Natural Park using a double-bounded dichotomous choice contingent valuation approach. The researchers used the Kish grid method to draw respondents from 150 households. The study revealed that families with an average annual income of approximately $2746.70 were ready to contribute $0.78 per month, or $9.36 annually, to the watershed …

Integrating Social Determinants Of Health Into Clinical Practice, Jenna Poraharju, Saija Inkeroinen, Heli Virtanen, Helena Leino-Kilpi

International Nursing Research Congress (INRC)

Background: Health is a concept with multiple definitions, and it is influenced by a range of determinants. Social determinants of health (SDOH) are societal systems and resources that cause health consequences, by influencing the distribution of health-supporting factors and risks across populations (Hahn, 2021). SDOH are widely associated with health outcomes (Enard et al., 2023; Glauser et al., 2022; Vince et al., 2023), and they are recognised in various national (Flaubert et al., 2021; Kuehnert et al., 2022) and international health strategies (United Nations, 2015; World Health Organization, 2019). SDOH affect on individual’s health regardless the effectiveness of the care, …

Haitian Nurses’ Perception About Disaster Preparedness And Disaster Nursing, Jacqueline Cassagnol

International Nursing Research Congress (INRC)

Purpose: Disasters happen worldwide. They devastate infrastructure, livelihoods, and often result in mass casualties. The increased occurrence of disasters means that disaster preparedness training is essential. Studies have shown that nurses make up the largest number of healthcare providers and are often the first point of contact for disaster survivors. The International Council of Nursing calls for nurses to be involved in all aspects of disaster preparedness, from risk assessment to multidisciplinary management. Nurses and nursing associations are urged to take leadership roles in preparing their countries for disasters. In a country such as Haiti that is prone to natural …

Investigating Potential Alzheimer's Disease Therapies Through An Agent-Based Model Of Impaired Microglia Metabolismmodeling Impaired Microglia Metabolism, Cheyenne Ty, Abigail Penland, John Gerving, Martin Mendoza-Ceja, Megan Pratt, Kamila Larripa

Spora: A Journal of Biomathematics

Alzheimer’s disease is the leading cause of dementia globally and is marked by amyloid-β plaque accumulation, decreased brain pH, disrupted metabolism, and increased permeability of the blood-brain barrier. Microglia, the resident immune cells of the central nervous system, are essential for maintaining brain homeostasis and are critically involved in the progression of AD. While microglia can initiate protective immune responses to injury and disease, dysregulated microglial metabolism may contribute to the exacerbation of Alzheimer's pathology. To investigate potential therapeutic strategies, we developed an agent-based model simulating the effects of exercise and metabolic enhancement on dysfunctional microglia. Our findings suggest that …

Ybx1-Mediated Activation Of Srebp2 Drives Sorafenib Resistance Via Cholesterol Biosynthesis In Hepatocellular Carcinoma, Veerababu Nagati, Dennis Kwabiah, Yamile Abuchard, Ana Ayala Pazzi, Shaibir Hussain, Salique H. Shaham, Manish Tripathi

Research Colloquium

Background: Hepatocellular carcinoma (HCC) is an aggressive, largely chemo-resistant cancer with a poor prognosis and is the leading cause of cancer-related deaths worldwide. Currently, there is no effective systemic chemotherapy for HCC. Sorafenib is a multikinase inhibitor commonly used as the first-line treatment for advanced HCC. However, acquired drug resistance significantly limits its clinical effectiveness. The Y-box binding protein (YBX1) is an oncogenic RNA-binding protein found to be upregulated in sorafenib-resistant HCC cells and tissues.

Methods: HCC model SK Hep1, YBX1 overexpression, and knockdown cells were prepared by transient transfection with puromycin selection, and stable cell lines were established through …

Hands-On Stem In Ghana: Inspiration For Culturally Relevant Pedagogy Globally, Alhassan Issifu, Mawuena A. Hanson, Heather R. Beem

Journal of Pre-College Engineering Education Research (J-PEER)

Many educators are increasingly seeking culturally relevant pedagogies they can employ to effectively engage their students. In Ghana a substantive set of hands-on STEM content has been created, incorporating locally available materials and cultural approaches while maintaining alignment to the national curricula. Against a backdrop of almost no public primary or junior high schools in the country containing any lab equipment, this approach leverages and celebrates the abundance of what is available within the locality. This challenges narratives of what is considered “good” and recenters power back with those in the classroom. Three sample activities and three firsthand stories are …

Comprehensive Review Of In Vitro Gut-Brain Axis Models In Parkinson’S Disease Research, John Nicholas Cauba, Jihoo Woo, Russell Wiggins, Shizue Mito

Research Colloquium

Background: The pathophysiology of Parkinson's Disease (PD) can be attributed to a gradually progressive dopaminergic neuron (DN) degeneration and aggregation of abnormal α-synuclein in the basal ganglia. While the classic paradigm of PD focuses on the role of neurotransmitter imbalance and motor impairments, there has been increasing scientific interest in the link between the intricate connection between gut dysbiosis with synucleinopathies and PD. This review explores the relevance of the Braak hypothesis, short-chain fatty acids (SCFAs) in neuronal viability, and gastrointestinal barrier dysfunction through the lens of in vitro modeling.

Methods: A collection of prospective literature was conducted …

From Imaging To Impact: A Multi-Disciplinary T32 Program Framework And Initial Insights For Training In Image-Guided Cancer Therapy, Kari J. Brewer Savannah, Stephen Y. Lai, Clifton D. Fuller, Kristy K. Brock

Advances in Cancer Education and Quality Improvement

As multi-disciplinary image-guided assessment and therapies become increasingly important for precision oncology, the need for comprehensive training opportunities that effectively prepare the next generation of clinician-scientists and scientists is evident. We present an innovative, evidence-based research training framework that integrates the following critical features: 1) intentional and personalized mentoring and career development, 2) immersive research in image-guided cancer therapy, 3) strategic mentored clinical exposure, 4) structured didactic learning and professional development opportunities, and 5) mentored grant writing. Designed to foster scientific rigor, translational thinking, and multi-disciplinary collaboration, the Image-Guided Cancer Therapy T32 Training Program (IGCT-T32) aims to prepare postdoctoral fellows …

Comparative Study For Channel Pairing In Noma Ofdm- Cdma System, Hazem H. El-Banna, Nelly M. Shafik

Mansoura Engineering Journal

Orthogonal Multiple Access such as OFDM technique became inadequate scheme since it provides limited spectral efficiency and limited number of users. In addition to Orthogonal Multiple Access (OMA), Non-Orthogonal Multiple Access (NOMA) technique is applied in 5th generation of mobile communications that enhances both spectral efficiency and capacity with high Quality of Service (QoS). In this paper, three techniques were combined NOMA, OFDM, and CDMA in order to have optimal system performance in the presence of worst fading channel situations; fast frequency selective Rayleigh multi-path fading channel. The main contribution of this paper is the novel channel pairing technique introduced …

An Estimation Study Of The Co2 Emissions In Saudi Arabia Using Machine Learning, Mohammed A. Albalawi, M.M. El-Halwany, Mahmoud H. Mahmoud, Mohamed Gar Alalm

Mansoura Engineering Journal

As part of the 2015 Paris Climate Agreement, the Kingdom of Saudi Arabia (KSA) pledged to implement policies aimed at reducing greenhouse gas emissions. The 2030 Vision, which KSA unveiled with the goal of building a more sustainable and diverse economy, led to a number of projects, such as the national renewable energy program, the Saudi green initiative, and the circular carbon economy. Additionally, KSA just revealed a bold plan to achieve net-zero status by 2060. The Kingdom pledged to cut its carbon emissions by 278 million tons of CO2eq (equivalent) yearly by 2030 in its revised nationally determined contribution …

From P-Values To Practical Relevance: An Introduction To Effect Sizes Through A Legal Psychological Example, Paul Riesthuis, Henry Otgaar, Tery Setiawan, Nathanael Sumampouw, Charlotte Bücken

Psychological Research on Urban Society

Null-hypothesis significance testing and p-values are frequently criticized for their focus on detecting non-zero differences and their inability to provide evidence for the null hypothesis. In this article, we highlight how effect sizes, when meaningfully interpreted, can address these issues. Specifically, we argue that researchers should consider the smallest effect size of interest (SESOI) - the smallest effect size that yields practical or theoretical relevance. We propose several methods for estimating the SESOI and present a consensus study among Indonesian professionals which can be used to estimate the SESOI for child eyewitness testimony research. Results suggest that most Indonesian professionals …

Novel Convolution Neural Network For Enhanced Network Attack Pattern Recognition, Salahaldeen Duraibi

University of Bisha Journal for Basic and Applied Sciences

Intrusion detection plays a critical role in safeguarding computer networks from malicious activities and unauthorized access. Traditional machine learning (ML) models have been widely employed for intrusion detection, but their effectiveness can be limited due to the complex and evolving nature of network attacks. An efficient Convolutional Neural Network (CNN) that utilizes one-dimensional convolutions, batch normalization, and max pooling layers is designed to capture the attack patterns in network traffic data. By leveraging the inherent feature extraction capabilities of CNNs, the proposed architecture demonstrates improved performance in identifying network intrusions compared to traditional ML models. The effectiveness of the novel …

Nonlinear Dynamics Of Dust Acoustic Waves In A Dusty Plasma In Presence Of Two Opposite Polarity Dust Species, Omer A. Magzuob, Nauman Raza, Muntaha Khalid, Evren Hincal, Kottakkaran Sooppy Nisar

University of Bisha Journal for Basic and Applied Sciences

In a non-linear dynamical structure, this research presents a new analytical framework for examining the Zakharov-Kuznetsov equation in the realm of dusty ion-acoustic waves. Our objective is to produce a wide range of optical solitons at a reduced cost and time scale for evaluation by employing specific integration techniques. To achieve this, we are using two analytical approaches: the unified Ricatti equation procedure and the new extended auxiliary equation strategy. These methods help us to discover a variety of exact solutions for the governing model, including solitary, rational, elliptic functions, and periodic waves. Using numerical simulations and graphical representations, we …

Adaptive Ensemble Approaches For Face Mask Detection Using Transfer Learning Model, Faisal Alshanketi

University of Bisha Journal for Basic and Applied Sciences

Amidst the Covid-19 pandemic, wearing a mask has become mandatory and remains crucial in the ongoing pandemic. In certain situations and conditions, masks may be required periodically. However, manually monitoring large crowds of people to ensure they are wearing masks in public places or events can be an arduous task that is both time-consuming and difficult to manage. One way to address the challenge of manually monitoring mask-wearing in public places is to adopt machine learning (ML) methods and ICT-based surveillance mechanisms, thereby reducing the need for large numbers of personnel. While previous studies have proposed various machine learning models …

Radio Frequency (Rf) Based Smart Communication System For Autonomous Vehicles (Av) Covering Both Vehicle-To-Vehicle (V2v) And Vehicle-To-Traffic Light (V2tl), Rayan Hamza Alsisi, H. A. Wajid, M. O. Alrafaee, O. A. Alhaboob, A. Yousef

University of Bisha Journal for Basic and Applied Sciences

A vehicle that reaches a destination by self-navigation famously known as an autonomous or self-driving vehicle. In this work, we present an improved or smart communication system for autonomous vehicles that will enable them to reach distention by communicating a) with other vehicles (known as vehicle-to-vehicle V2V) and b) with the infrastructure of transportation system specifically traffic lights (known as vehicle to traffic lights V2TL). The proposed communication system is designed using several sensors, transmitters, and receivers to monitor the surroundings for efficient communication either V2V or V2TL. Finally, we show with experimented data that the proposed communication system offers …

Is Italy On Track? A Data-Driven Forecast For Road Transport Decarbonisation By 2030, Monica Bonacina, Romolo Consigna Tokong

Fondazione Eni Enrico Mattei Working Papers

The European Union’s decarbonisation strategy necessitates profound shifts across all sectors, with road transport presenting a particularly formidable challenge due to its sustained emissions growth since 1990. Given that Italy’s road transport sector is the third-largest consumer of fossil fuels in Europe, its role is pivotal in achieving these collective climate objectives. This study employs grey forecasting models to assess the projected contribution of alternative fuels – specifically biodiesel, bio-gasoline, biomethane, and electricity – to Italy’s 2030 decarbonisation pathway. The results suggest that consumption of these energy carriers will reach around 5 Mtoe (million tons of oil equivalent), representing a …

The Student Movement Volume 110 Issue 1: Andrews Assembles For A New School Year, Megan Constantine, Kyle Simpson, Melanie Webb, Audrey Lim, Lia Glass, Corinna Bevier, Isa Demoraes, Nicholas Gunn, Reagan Westerman, Aiko J. Ayala Rios, Samantha Woolford-Hunt, Anna Rybachek, Maya Thomas, Andrew Francis

The Student Movement V. 110 (2025-2026)

HUMANS

Human Writer Introductions, Humans Writers

Becoming Disciple Makers: A Look Into Chaplain Fetrick's Vision for Andrews Unviersity, Megan Constantine

New at AU: Professor Carrie Hess, Kyle Simpson

ARTS & ENTERTAINMENT

Arts & Entertainment Writer Introductions, Arts & Entertainment Writers

Cut for Time: Recapping the 77th Emmy Awards, Melanie Webb

Team Conrad v. Team Jeremiah: The History and Appeal of Love Triangles in Media, Audrey Lim

The Summer of Superheroes, Lia Glass

Why I Hate the Trailer for the New 'Wutherinng Heights', Corinna Bevier

NEWS

News Writer Introduction, News Writers

Almost Anything Goes: A Night Lit in Neon, Isa DeMoraes …

Doc 2025-11 (Amended) The Faculty Hearing Committee On Grievances Bylaws And Operating Procedures, University Of Dayton. Executive Committee Of The Academic Senate

Senate Documents

No abstract provided.

Comparison Of Pcr-Based Methods For The Detection Of Canned Tuna Species, Chloe P. Castanon, Denise Hernandez, Akshay N. Khetrapal, Rosalee S. Hellberg

Food Science Faculty Articles and Research

Canned tuna is susceptible to mislabeling due to its high consumer demand, complex global supply chains, and range of prices. DNA barcoding of a short fragment of the mitochondrial control region (CR), termed the CR mini-barcode, has been established as an effective method for tuna species identification. However, the high level of DNA degradation in canned tuna products reduces the effectiveness of this method. Therefore, this study aimed to compare CR mini-barcoding to targeted (i.e., real-time or multiplex) PCR-based methods to determine the most effective approach for canned tuna species identification. DNA was extracted in duplicate from 24 canned tuna …

‘High-Stakes’ Security: Current And Emerging Trends In Casino Gaming Cybersecurity, Ernest Adams, Jared Bischoff, Mehmet Erdem

UNLV Gaming Research & Review Journal

Alongside the digital evolution of the casino gaming industry, cybercrimes have emerged as a prominent threat to gaming businesses across the entire world. With the growing frequency of high-profile cyberattacks against major casino resorts and casino operators, the gaming industry has responded by implementing innovative cybersecurity strategies and resources to prevent and mitigate potential future assaults. This paper aims to examine cyber events in the gaming industry, how the industry has responded by enhancing its security posture, and what experts in the industry prioritize as security topics for future research. To accomplish this, a literature review was first performed to …

Ud In The News Sept. 13-19, University Of Dayton

News Releases

Conversation and National Desk stories featuring UD expertise were picked up widely nationwide. In a piece for Association to Advance Collegiate Schools of Business, Vince Lewis wrote about giving students opportunities to launch startups.

Symbiotic Aspergillus Terreus Alleviates Drought And Waterlogged Stress In Zea Mays L., Hazrat Ali, Fayaz Asad, Naveen Dilawar, Vasila Sharipova, Imtiaz Ahmad, Abida Zeb

Turkish Journal of Botany

The interaction concerning rhizospheric fungi and plants is essential for enhancing plant resilience in the face of abiotic stress conditions. This study investigated the effects of the rhizospheric fungus Aspergillus terreus on maize (Zea mays L.) growth under both drought and waterlogging conditions. Our findings confirmed that inoculation with A. terreus mitigated the adverse effects of drought and waterlogging conditions on maize growth. Plants treated with Aspergillus terreus (A. terreus) exhibited enhanced root and shoot length, fresh and dry weight as well as enhanced chlorophyll content in plants compared to control, under stress-related conditions. Compared to the control group, A. …

Advanced Deep Learning Approaches For The Accurate Classification Of Phallaceae Fungi With Explainable Ai, Eda Kumru, Fati̇h Eki̇nci̇, Koray Açici, Ömer Burak Altindal, Mehmet Serdar Güzel, Ilgaz Akata

Turkish Journal of Botany

In this study, deep learning (DL)-based models were developed for the classification of 5 fungal species from the Phallaceae family (Clathrus ruber, Colus hirudinosus, Mutinus caninus, Phallus impudicus, and Pseudocolus fusiformis). ConvNeXT achieved the highest performance with 98% accuracy, 98% precision, 98% recall, and 98% F1-score. EfficientNetB4 and Xception also performed well with 96% accuracy. In contrast, lighter models such as MobileNetV2 and MixNet S showed significantly lower accuracy (84% and 80%, respectively). Among the explainable artificial intelligence (XAI) techniques, gradient-weighted class activation mapping (Grad-CAM) and Integrated Gradients showed that high-accuracy models focus more effectively on biologically meaningful regions. In …

Erratum To “Anatomical And Palynological Studies On Turkish Primula Taxa (Primulaceae) And Their Taxonomic And Phylogenetic Significance [Turkish Journal Of Botany 49 (4) 2025 325-348 ] ”, Deni̇z Ulukuş, Esengül Özkaymakoğlu, Rebecca Stubbs, Hüseyi̇n Baykal, Kami̇l Coşkunçelebi̇, Osman Tugay, Barbara Keller, Elena Conti, Ferhat Celep

Turkish Journal of Botany

This erratum addresses an error concerning Figure 5 in the original published version of this article. During the typesetting process, Figure 5 was partially omitted, resulting in an incomplete figure being published.To correct this oversight and ensure the accuracy of the scholarly record, the complete Figure 5 is provided below for reference.

Link to the original article: https://doi.org/10.55730/1300-008X.2866

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