Digital Commons Network^™

Clark Memorandum: Spring 2026, J. Reuben Clark Law School, Byu Law School Alumni Association, J. Reuben Clark Law Society

The Clark Memorandum

• Going Forward with Religious Freedom and Nondiscrimination
• Saving Our Democracy
• Contention Is of the Devil; Confrontation Is of God
• Mystery, Faith, and Law

0-3 Years Vroom Tips Based Booklet Akuhdp & Akuied, Taiba Yar Baig, Seema Lasi, Yasmeen Mehboob, Khush Funer

Books

• Inspired by vroom
• The Aga Khan University
• AKRSP
• Aga Khan Foundation

From Doctrine To Practice: Shūrā-Centred Islamic Ethics For Sustainable Ecological Solutions, Fatima Dhanani, Cecilee Glaus Jones

Abdou Filali-Ansary Occasional Paper Series

This paper examines how Islamic ethics, when translated into lived practice, generate both moral frameworks and scalable solutions to pressing ecological challenges. Focusing on shūrā, tawḥīd, khilāfa, and taʿaddudiyya, and drawing on case studies of Stewardship Canada and the Aga Khan University’s Carbon Management Tool, the authors show how Islamic values move beyond doctrinal abstraction to guide institutional decision-making, programme design, and community engagement. More than treating ethics as fixed theological propositions, they frame them as negotiated, context-sensitive processes that align with ecological resilience, distributive justice, and economic viability.

Grounded in shūrā …

Issue 3 - Arete Newsletter - 2025, Liberty University

Arete Newsletter

Spring 2026

Gpu Embedded Machine Learning Solar Pv Forecasting (Paper), Hamza Tasneem

Honors Capstone Projects

Author ORCID: https://orcid.org/0009-0009-1665-3966

Paper DOI: https://doi.org/10.62812/DHND6486

Solar Photovoltaic (PV) generation is intermittent and variable in nature, which can threaten the stability and economic efficiency of the power grid. Accurate and precise forecasts could help to mitigate intermittency issues by helping the grid in the allocation of generation resources at times when solar irradiance is low. This paper presents a Convolutional Neural Network (CNN) approach to accurately predict solar irradiance forecast for Brookings, SD area using Clear-Sky Irradiance (CSI) data from the National Renewable Energy Laboratory (NREL), utilizing a sliding-window algorithm and other data processing algorithms. The CNN was trained on …

Gpu Embedded Machine Learning Solar Pv Forecasting (Poster), Hamza Tasneem

Honors Capstone Projects

Author ORCID: https://orcid.org/0009-0009-1665-3966
Poster DOI : https://doi.org/10.62812/MOFI3028

This was poster was developed in support of the paper of the same name.

Paper DOI: https://doi.org/10.62812/DHND6486

Iowa Waste Reduction Center Newsletter, March 2026, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Contents:

--- Welcome, IWRC Advisory Committee
--- Growing Iowa’s Composting Movement to National Leadership
--- Diane Albertson Memorial Scholarship
--- P2 Green Brewery Webinar Registration is Now Open
--- Potential Hazards of Lithium-Ion Batteries in Landfills

Compliance And Systems Data Management Report, Monthly Waiver Participation Trends, March 2026, Tennessee. Department Of Disability And Aging

Compliance & System Data/Reports

This monthly report provides data on various aspects of the department's activities and programs.

Epanorama March 2026, Southern Adventist University

Panorama Parent Newsletter

This digital issue of Panorama includes an article about a Southern student winning a branding contest for the City of Collegedale, BCU Night, ADDY Awards, and the CFA Challenge.

Light & Faith: March 2026, Taylor University

Light & Faith

No abstract provided.

Sepsis At Children's Mercy: A Descriptive Study, Katlyn Mayer, Leslie Hueschen, Grace E. Arends Md, Ashley Sherman

Presentations

No abstract provided.

Prospective Validation Of Selective Serotonin Reuptake Inhibitor Pharmacokinetic Models For Precision Dosing In Children And Adolescents, Ethan A. Poweleit, Whitney Sparks Ms, Catherine Koertje, Addison Pritchett Ms, Gail Robertson, Lindsey Malloy-Walton, Stephani Stancil, Jeffrey R. Strawn, Alexa L. Pagano, Kathryn Kyler, Jonathan B. Wagner, Brandon Retke, Paul C. Toren, J Steven Leeder Pharmd, Phd, Laura B. Ramsey

Posters

Background: Selective serotonin reuptake inhibitors (SSRIs) are commonly prescribed to children and adolescents with anxiety and depression. However, their clinical use is complicated by marked interindividual variability in exposure, which contributes to differences in treatment response and side effects. Further, SSRIs are commonly dosed using a trial-and-error approach. Model-informed precision dosing could improve treatment outcomes, yet existing SSRI population pharmacokinetic (PK) models have not been prospectively validated and may not generalize to pediatric patients. This study aims to evaluate how accurately these models predict exposure for three SSRIs—escitalopram (ESC), sertraline (SRT), and fluoxetine (FLX)—and refine them to develop tools for …

Trauma: Blunt Solid Organ Injury, Children's Mercy Kansas City

Clinical Pathways

No abstract provided.

Molecular Techniques: A Project-Based Undergraduate Laboratory, Ming-Mei Chang

Milne Open Textbooks

This book can be read online at: milnepublishing.geneseo.edu/molecular-techniques

Molecular biology, examining the structures and functions of nucleic acids and proteins, is crucial to advancing biological science and improving human life, particularly in agriculture and medicine. Advances in the field can transform a crop to resist disease or uncover clues to fight illness by manipulating DNA. Techniques for molecular biology research and applications have advanced rapidly over the past decades, and undergraduates need hands-on experiences in this vital field of science. This text provides a structured approach to learning and practicing those techniques, covering DNA, RNA, and protein across five modules …

The Guardian The Month Of March 2026, Wright State Student Body

The Guardian Student Newspaper

News articles from The Guardian for the Month of March 2026. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.

Mortality Risk Factors In Pediatric Invasive Fungal Rhinosinusitis: The Care-Pifrs Multicenter Study, Charis C. Hodges, Brenton T. Bicknell, Emily Miller, Christopher Naranjo, Daniel Du, Matthew Harris, Jeeho Kim, Beth Osterbauer, Yassi Baghshomali, Scott Hirsh, Victoria Huynh, Uma Ramaswarmy, Sarah Gitomer, Heather Koehn, Jeffrey Koempel, Vijay A. Patel, Kenneth Kennedy, Kate Dunsky, Ryan H. Belcher, Jessica W. Grayson

Heersink School of Medicine Student Presentations

No abstract provided.

Modeling Advanced Complex And Evolutionary Systems Utilizing End-To-End (E2e) Mbse Framework, Joshua Adelabu

Shelby Hall Graduate Research Forum Posters

Modern Systems Engineering (SE) practices dearth full-cycle framework for next generation systems.

El Leñador, March 2026, El Leñador Staff

El Leñador Newspaper

El Leñador is an English and Spanish newspaper produced by Humboldt State University students. Our staff cover and provide news to Latinx and other diverse communities on campus and in Humboldt County. We are committed to providing relevant news and expanding the representations and stories told about people of color and other marginalized groups. Our work helps create more social, political and cultural diversity in local media.

El Leñador es un periodico en español y inglés producido por estudiantes de la Universidad Estatal de Humboldt. Nuestro personal cubre y provee noticias a la comunidad Latinx y otras comunidades diversas en …

Conceptual Architecture For Digital Twin (Dt) In Disaster Response Applications, Sai Raghava Pathuri

Shelby Hall Graduate Research Forum Posters

Digital Twin Enabled Artificial Intelligence Uncrewed System (Model-Based Systems Engineering) Artificial Intelligence Digital Twin (DT)+Cyber Physical System. The goal was to create DTs of Multi Class UxS. The system of interest was the Uncrewed Ground Vehicle (UGV) and Uncrewed Aerial Vehicle (UAV). The modeling language used SysML v2.

Stock Market Price Prediction Using Big Data Models Comparison Analysis, Vibhor Pal

Shelby Hall Graduate Research Forum Posters

The stock market consists of complex financial datasets, and achieving stock price real time prediction needs an efficient big data framework for processing. This paper compares big data distributed data processing frameworks for forecasting stock prices using Graph Neural Networks (GNNs) - Apache Flink and Apache Spark. We analyze 70 publicly traded companies’ monthly data for the last 5 years from Yahoo Finance, ranked by Price-to-Earnings (P/E). In the companies’ datasets, there may be a connection or similarity between companies, and this can lead to similar stocks’ price behavior. These interfirm relationships are maintained by GNNs models, and their output …

Evaluating Software-Based Hardware Abstraction As A Fault Injection Countermeasure, Tristan Clark, J. Todd Mcdonald

Shelby Hall Graduate Research Forum Posters

Despite how theoretically secure a system may be, it can be compromised if an adversary has physical access to the device. This can be done by injecting hardware corruptions directly into the physical system, which is called a fault injection (FI) attack. To combat this, there is a need for robust fault-tolerant countermeasures. One such countermeasure is obfuscating the program to introduce redundancy and complexity, particularly through software-based hardware abstraction (SBHA).

This research proposes using SBHA as a countermeasure to fault injection attacks. By transforming point-function password programs, the proposed countermeasure aims to increase the difficulty of conducting successful FI …

Explainable Deep Reinforcement Learning For Real-Time Network Intrusion Detection, Sebastian Bustamante

Shelby Hall Graduate Research Forum Posters

This research aims to enhance current Deep Reinforcement Learning (DRL)-based Intrusion Detection System (IDS) models by adding transparency using Explainable Artificial Intelligence (XAI). This study proposes a DRL-based IDS architecture that incorporates explainability to provide interpretable reasons for IDS decisions. A Deep Q-Network (DQN) agent will be trained in a simulated network using well-known datasets to learn traffic behavior. XAI methods will be applied to extract feature importance and allow users to understand why alerts were generated. The outcomes of this research will contribute to improving network security by providing more insight on how XAI could be adopted into modern …

Text Corpus Combined Method And Tools For Music Textual Analysis, Yuwei Lu

Shelby Hall Graduate Research Forum Posters

While there has been a great deal of research conducted on how to search images and video using text, there has been less focus on how to retrieve music using multiple facets such as mood and lyrical content. or its features This is due in part to the historical lack of available musical corpuses. A musical corpus is a specialized text corpus specifically designed to capture information about music. Recently, several musical corpora for music information retrieval have been built and made available. However, these corpora and the tools designed to exploit them are typically designed to facilitate only one …

Integrating Nonlinear Phase Space Analysis And Image-Based Representation For Network Intrusion Detection, Chakriya Suon

Shelby Hall Graduate Research Forum Posters

With the rise of cyber threats, cybersecurity continues to play a critical role in the ever-changing landscape of technology by protecting and defending against threat agents. Our research applies novel machine learning (ML)techniques to detect network intrusions effectively. Our primary focus is to extend prior research, which has used network flows that are processed by a nonlinear phase space algorithm (NLPSA). The NLSPA approach has proven extremely effective in detecting anomalous or malicious traffic patterns on representative data but requires extensive training time.

Our contribution integrates deep learning into the anomaly detection approach by creating image-based representations of the adjacency …

Evaluating The Effects Of Anti-Forensic Activities In Additive Manufacturing Devices, Daniel B. Miller

Shelby Hall Graduate Research Forum Posters

Additive Manufacturing (AM) is a newer famlily of production tecchologies that constructs objects by fusing layers of material into the desired shape. Methods for achieving this as described in Gibson et al. [1] are varied and include Fused Filament Deposition, Selective Laser Sintering, Stereolithography (SLA), and Powder Bed Fusion. Computers are integral to the processes being responsible for creating and decoding design instructions, collecting and processing sensor data, and, ultimately, directing the activity of the machines which implement the process. Additionally, the AM industry is rapidly expanding, worth an estimated $23 billion in 2023 and projected to reach $88 billion …

Effects Of Asphalt Or Concrete On Dynamic Wireless Power Transfer, Yuou Peng, Daniela Wolter Ferreira Touma

Shelby Hall Graduate Research Forum Posters

Dynamic Wireless Power Transfer (DWPT) allows measurements should be done for 100 kHz and 77 kHz. electrical energy to be transferred wirelessly to a moving object, and it also possesses the ability to charge vehicles continuously while they are traveling down a specially equipped road.

A method of embedding the coils in the surface course shows that all coils achieve more than 54 kW of power at an efficiency of 95% in the power transmission evaluation. Advantage: Ability to charge vehicles continuously while they are traveling down a specially equipped road. Objective: Investigation of physical and structural feasibility of embedding …

Development Of An Automated Platform For Cell Biology Experiments, Dipendra Nepal

Shelby Hall Graduate Research Forum Posters

Cell biology experiments involve repetitive tasks such as pipetting, sample preparation, and imaging, which are typically performed manually. These manual processes can introduce variability, reduce efficiency, and increase the cost of biomedical research. To address these challenges, our lab is developing a modular robotic platform, iEye™, to automate key steps in cell biology workflows [1]. The system is designed as self-contained modules, allowing flexible development and integration of different functionalities. In this work, we focus on a sample preparation module that integrates a 6-degree-of-freedom robotic arm, a motorized stage, and a pneumatic pipetter. This module is being developed to automate …

Cellebrite Reliability In Digital Forensics, Christina Huynh

Shelby Hall Graduate Research Forum Posters

Forensic tools like Cellebrite are commonly used in court to gather and interpret raw data for evidence. Cellebrite does not only collect data but creates and interprets the artifacts of data to create a scene of the process it has been through. With this, evidence can be influenced by software designs and not just the data on the mobile device. Courts and police use Cellebrite to gather evidence and reconstruct it to create an easily readable dataset. These tools lack reproducibility, transparency, integrity, and chain of evidence command. Cellebrite is often used in court and by police without further vetting …

Deconstructing Digital Disinformation: Social Media Data Preparation And Analysis For Healthcare Research, Russell W. Cantrell, Matt Campbell

Shelby Hall Graduate Research Forum Posters

The spread of medical misinformation poses significant threats to public health, healthcare system stability, and the quality of patient care. Our research examines misinformation targeting the U.S. healthcare system. It uses a mixed-methods approach that includes social media data analysis, surveys of practicing nurses, and agent-based simulation. This poster focuses on the initial phase, which attempts to detect potential misinformation and disinformation by analyzing patterns in social media posts and user account behaviors. A detailed account of the data preparation process lays the groundwork for examining how disinformation operates online. This phase draws on the Pushshift repository, which offers historical …

Detecting Sensor Data Manipulation, Ricky Green, Michael Black

Shelby Hall Graduate Research Forum Posters

The integration of Information Technology (IT) and Operational Technology (OT) have made OT devices vulnerable to threats that have been successfully exploited with devastating results. Many modern techniques for hardening and securing enterprise IT systems are either incompatible with OT components in an Industrial Control System (ICS), reduce the efficiency of processes, or are prohibitively expensive to implement. Research in the area of ICS security focuses on a top-down approach, such as intrusion prevention by securing the perimeter of the network at layers 3 – 5 of the Purdue model by hardening IT systems. This approach is useful in Enterprise …