Digital Commons Network^™

Ethics_ Communication Breakdown - It's Always The Same (But It's Avoidable), Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held March 4, 2025.

47th Annual Judge Robert H. Staton Indiana Law Update, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held September 11-12, 2025.

How To Become A Published Author, Represent One & Protect Your Client's Film & Tv Rights, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held October 7 & 14, 2025.

Walter Bernard V. Philip Ignelzi

2025 Decisions

USDC for the Western District of Pennsylvania

Equity Vignettes: A Practice-Based Resource, Liza Bondurant, Jane Wilburne, Dana Franz

Publications

Mathematics teachers have the power and responsibility to center equity in their teaching practices. Yet their framings and mindsets about equity can impact whether and how they use equitable teaching practices. In this manuscript, we describe how secondary mathematics teacher candidates responded to two equity vignettes focused on (1) gender identity and (2) race and tracking. We wrote these vignettes to expose candidates to situations they may encounter and decisions they may need to make as mathematics teachers. The purpose of this study was to explore the teacher candidates’ beliefs. We use the FAIR Framework and the Educator Mindsets for …

Sirtuin 1 And Vitamin D3 As Prognostic Factors For Chronic Kidney Diseases And Nephrotic Syndrome, Fatima Al-Zahra’A ’Mohammed Radhi, Anwar Jasib Almzaiel

Al-Qadisiyah Medical Journal

Background: Kidney disease encompasses any form of damage or illness that affects these organs. Sirtuin-1 is an NAD+-dependent and class III histone deacetylase protein. Vitamin D3 is a fat-soluble steroid hormone. Recently, it was suggested that Sirtuin-1 and Vitamin D3 were involved in the pathogenesis of renal diseases. The exact protective mechanisms of Sirtuin-1 in renal diseases are still not completely understood. Objectives: The aim of this study was to explore the potential involvement of Sirtuin-1 in modulating the inflammatory response in various kidney diseases. Materials and Methods: The research study was carried out between October 2022 and April 2023. …

Semi-Supervised Learning For Annotation And Representation Of Single-Cell Rna Sequencing And Spatial Transcriptomics Data, Haoran Liu

Dissertations

Semi-supervised learning has emerged as a powerful paradigm for analyzing single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data, where full annotation is often costly or impractical. scRNA-seq technologies measure the expression of thousands of genes across tens of thousands of cells, whereas ST additionally captures the spatial coordinates of gene expression within intact tissue sections. Annotation is a key step in both scRNA-seq and ST analysis pipelines, aiming to identify cell types, spatial domains, and latent biological structures. However, most existing annotation approaches rely on separate clustering methods that are typically fully unsupervised and fail to leverage side information …

Computational Methods For Single-Cell And Multi-Omic Data Integration And Regulatory Network Inference, Jianlan Ren

Dissertations

Single-cell and multi-omic technologies have transformed the dissection of cellular heterogeneity and regulatory dynamics in health and disease. However, the high dimensionality, technical variability, and biological complexity of these datasets present significant challenges for integration, annotation, and interpretation. In this dissertation, a suite of computational approaches is introduced to address key problems in single-cell and multi-omic data analysis through model-based innovations and applied statistical frameworks.

First, a constrained deep learning framework for single-cell data integration, label transfer, and clustering is proposed. By incorporating biologically motivated constraints into the training process, robust performance is achieved across simulated and benchmark datasets spanning …

Material Degradation And Analysis Of N-Doped Graphene/Mof Nanocatalysts For Orr In Electrochemical Energy Systems, Niladri Talukder

Dissertations

The development of advanced electrochemical energy conversion and storage systems is crucial for achieving sustainable energy security. As alternatives to precious metal-based catalysts in electrochemical systems, especially for the oxygen reduction reaction (ORR), Nitrogen-doped Graphene with Metal-organic Frameworks (N-G/MOF) nanocatalysts have shown exceptional promise in recent years. This research advances the understanding of N-G/MOF nanocatalysts by systematically examining their structural features, degradation traits, correlated performance losses, and other aspects related to catalytic activities.

First, nitrogen-doped graphene (N-G) nanocatalysts were thoroughly investigated, resolving their physical properties, the influence of synthesis parameters, molecular-level material structures, and chemical and electronic structural details of …

Optimal Power Flow Control In The Iraqi Power Grid Using Artificial Intelligence Algorithms For Carbon Emission Reduction, Mohammed Shakir Juber

Al-Esraa University College Journal for Engineering Sciences

Iraq’s power sector remains in a protracted and severe crisis characterized by a significant mismatch between supply and demand, high levels of losses during transmission and distribution, as well as an increasing challenge to the resources base being largely unfavourably. These inefficiencies impose heavy costs on the national economy in excess of 40 billion annually and they also reinforce greenhouse gas emissions, and exacerbate environmental issues. To deal with these problems, we proposed in this paper that a new hybrid AI tool should be developed for the solution of multi-objective optimization problem based on purpose Genetic Algorithm (GA) merger with …

Applying Machine Learning Techniques For Early Detection Of Cyber Attacks On Iot Devices, Noor Adnan Allamy

Al-Esraa University College Journal for Engineering Sciences

This research designs, implements, and evaluates a machine learning-based framework for the early detection of cyber attacks targeting Internet of Things (IoT) devices, with a specific focus on the context and challenges present in Iraq. The study conducts a comparative analysis of three supervised learning algorithms—Support Vector Machine (SVM), Random Forest (RF), and Deep Neural Networks (DNN)—using a combination of benchmark datasets (NSL-KDD, CIC-IDS-2017, Bot-IoT) and a synthesized dataset adapted to simulate the Iraqi threat landscape. Key performance metrics, including accuracy, precision, recall, and F1-score, were used for evaluation. The proposed Random Forest model demonstrated superior performance, achieving an accuracy …

Hybrid Experimental–Computational Study On The Energy Absorption Of Graphene Nanoplatelet-Reinforced Sandwich Structures, Hamdan Yousif Hamdan

Al-Esraa University College Journal for Engineering Sciences

Background: Sandwich composites are widely used in aerospace, automotive, and marine applications because of their lightweight, stiffness, and strength, but they remain prone to out-of-plane impacts and barely visible impact damage (BVID). Graphene Nanoplatelets (GNPs) have shown strong potential to improve fracture toughness and impact resistance. However, hybrid experimental–computational studies applying such reinforcement are still lacking in developing contexts like Iraq, where practical and accessible solutions are essential. Aims: The study investigates the effect of GNP reinforcement on the low-velocity impact behavior and energy absorption of glass fiber/epoxy sandwich panels with PVC foam and balsa wood cores. Objectives include fabricating …

An Evidence-Based Approach To Fair Use, Clark D. Asay, Cree Jones, Cassidy Mccleary, Stephanie Plamondon

Georgia Law Review

Recent Supreme Court cases have opened the door for market effects to play an even more prominent role in copyright law’s fair use defense to copyright infringement. Historically, however, market effect analysis under fair use’s factor four has either been largely speculative or merely a repackaging of analysis done under the first three factors of the fair use defense. We argue that recent developments in data availability and causal estimation in the social sciences enable litigants and courts in many cases to engage in a more fulsome and credible analysis of market effects in fair use cases. As a proof …

The Problem With The Mode Of External Debt Servicing: The Case Of Nigeria, Shehu Tijjani Muhammed

Bullion

This study empirically tested the hypothesis that external debt servicing leads to debt accumulation using Nigeria as case study. The method employed combines logic and debt stock variation analysis. Results indicate that Nigeria has served interest on its external debt only to see its external debt stock increasing confirming the hypothesis. A reform is needed to enable the country retain the domestic income lost to international speculative capital to boost government revenue. A sovereign agency to intermediate between the indebted residents, exporters, and the banking system can be created to solve the problem.

Perceived Value And Customer Satisfaction In The Nigerian Airlines Businesses, Adeyemi Abdulwasiu Adebayo, Abdulazeez Alhaji Salau, Abdulazeez Alhaji Salau

ASEAN Marketing Journal

Due to the nature of consumers as being price conscious and their attitude in evaluating if the services rendered by service providers can meet their needs and aspirations, airline service providers need to understand the perceived value of their esteemed customers to ensure that the services rendered are satisfying and can ultimately lead to loyalty. This study investigated the influence of customer perceived value proxy with customer experience and service quality in building satisfaction in the Nigerian Airline business. The study employed a quantitative research design through a survey to collect primary data from domestic customers of the chosen airlines. …

The Central Bank Supervision Stringency On Bank Stability, Sara Eliufoo, Judika King'ori

Tanzanian Economic Review

This study examines the relationship between central bank supervision stringency and bank stability in Tanzania, focusing on 45 licensed banks. Specifically, it assesses the influence of regulatory capital stringency, loan loss provisioning stringency, and loan diversification stringency on bank stability. Guided by Agency Theory and Credit Risk Management Theory, the study adopts a quantitative research design. Primary data were collected using structured questionnaires administered to 225 bank employees, including credit, finance, internal audit, risk, compliance, and human resource officers. Data were analyzed using Structural Equation Modelling (PLS-SEM) via SmartPLS 4.0. Rigorous data screening addressed missing values, outliers, and measurement errors. …

Relationships With Tax Authorities As A Determinant Of Tax Consultant Performance In Indonesia, Riana Sitawati, Oei Kezia Christina

Jurnal Akuntansi dan Keuangan Indonesia

Background: Tax consultants are central to supporting taxpayer compliance in Indonesia. While technical competence is essential, their performance also depends on constructive engagement with tax authorities, an aspect rarely examined in the Indonesian context. Methods: This study employed a quantitative survey of 158 licensed tax consultants in Indonesia. Data were analyzed using Structural Equation Modeling (SEM-PLS) to test the direct and mediating effects of technical skills and relationships with tax authorities on job performance. Findings: The results indicate that technical skills significantly improve both relationships with tax authorities and perceived job performance. Furthermore, relationships with tax authorities mediate the effect …

The Indonesian Guardianship And Indonesian Private International Law, Tiurma Mangihut Pitta Allagan, Dinda R. Himmah, Amirah Hisana

Indonesia Law Review

The increasing of number of cross-border legal relationships, especially family legal relationships, is inevitable. For instance, it is also commonly accepted for a foreign national to have a legal-bond with children from another country, which is also known as intercountry adoption, guardianship and fostership. This paper aims to analyze and classify guardianship involving international dimension within the jurisdiction of Indonesia. The examination of this legal question would be on the basis of Indonesian Private International Law (PIL). The choice of law and the choice of jurisdiction are the basic analysis, further, as to whether the guardianships are in line with …

A Novel Mathematical Model Of Hiv Transmission Incorporating The Effects Of Treatment And Pre-Exposure Prophylaxis: Sensitivity Analysis And Numerical Simulations, Erick Manuel Delgado Moya

Mathematical Modelling and Numerical Simulation with Applications

Human immunodeficiency virus (HIV) continues to be a public health problem in many countries of the world, and Pre-exposure prophylaxis (PrEP) is a preventive method for HIV, which has shown great efficacy and is in use worldwide. This work presents a new mathematical model for HIV transmission incorporating PrEP use and evaluates the impact of PrEP along with its increasing use in a population. The construction of the model takes into account three forms of diagnosis: diagnosis of individuals in risky sexual contact, diagnosis after risky contact (diagnosis in the undiagnosed infected compartment), and diagnosis associated with attempting to enter …

Comprehensive Study Of Pediatric Migraine Based On Patient Data Of Demographic, Characteristic, And Treatment Outcomes, Shaima’A Dakhel Abdulhassan, Safa’A Dakhel Abdulhassan

Al-Qadisiyah Medical Journal

Introduction: Migraine is a common neurological disorder in pediatric consultations. It is often disabling and influencing negatively the quality of life of pediatric migraine patients (PMPs). Aim: This study aimed to characterize the demographic profile of 98 PMPs from outpatient and private clinics in Al-Diwaniyah City, Iraq. This study describes demographic distribution, migraine characteristics, associated symptoms, familial history, trigger factors, and treatment outcomes of PMPs. Patients and Methods: The dataset had the following variables: age, sex, duration and severity of the migraines, frequency of attacks, associated symptoms, family history, trigger factor, types of treatments, and follow-up duration. Descriptive statistics were …

The Role Of Il-13 Serum Levels With Its Genetic Polymorphism In The Risk Of Developing Chronic Rhinosinusitis, Baneen Mohammed Ali Hussein, Ibrahim Abdulmajeed Mustafa

Al-Qadisiyah Medical Journal

Background: Chronic rhinosinusitis (CRS) represents a prolonged inflammatory condition of both nasal cavity and paranasal sinuses which extends more than 12 weeks without any sign of improvement. This condition affects work attendance along with productivity levels and quality of life detrimentally. Objective: To find out whether IL-13 rs1800925 C/T-1055 genetic polymorphism and its serum levels have a risk value for CRS disease. Methods: Three groups have been used as the basis for a case-control study. Thirty patients with a history of chronic rhinosinusitis with nasal polyp; thirty patients with a history of chronic rhinosinusitis without nasal polyp; and thirty healthy …

The Influence Of Ai Use On Innovativeness In Higher Education Institutions, Joanna Zimmer, Katarzyna Tworek

European Management Studies

Purpose: The aim of the study is to analyse the influence of AI tools use on innovativeness through Employees’ Dynamic Capabilities (EDC) among Higher Education Institutions (HEIs), taking into account regulation concerning AI and its possible moderating impact on that relation.

Design/methodology/approach: A critical literature review was combined with empirical research. The empirical research was conducted using a survey questionnaire on a group of 529 university employees from four European countries: France, Poland, Spain, and Great Britain. To ensure a diverse dataset, responses were collected from multiple sources, including an internal collaborative network and a purchased respondent panel. Data …

The Landscape Of Silver Diamine Uoride Research In Dentistry: A Bibliometric Analysis Of Trends And Future Directions, Wong F. Jak, Tengku Nnt. Hamzah, Thaddius H. Maling, Nor Am. Nor

Journal of Dentomaxillofacial Science

Objective: To update the bibliometric profile of global SDF literature, focusing on publication trends, contributing countries, study designs and mapping thematic research evolution.

Material & Method: Publications were searched in the Scopus database from inception to 20 April 2025. Data were extracted and cleaned using biblioMagika® and OpenRefine. Study designs were manually classified through abstract review. Publication trends were analysed using SPSS software. Data visualisations were generated using VOSviewer and Biblioshiny.

Results: Of 727 records identified, 659 publications were included in the analysis. Laboratory studies (45.83%) dominated, followed by clinical trials (19.58%) and reviews/guidelines (15.78%). Publication output rose modestly until …

Heathammer: Effects Of Thermal Stress On Dram Technology Reliability Using Rowpress And Rowhammer, Filip Roth Tronnes-Christensen

Theses

Modern DRAM scaling has reduced cell capacitance and increased thermal sensitivity, making disturbance-based faults such as RowHammer and RowPress increasingly significant reliability and security concerns. RowHammer induces bit flips through repeated row activations, while RowPress does so by holding a wordline open for an extended duration; both exploit inherent capacitive coupling and leakage mechanisms in dense DRAM arrays. This thesis introduces HeatHammer, a thermally assisted disturbance exploit that interleaves RowPress and RowHammer operations to amplify charge leakage and trigger row-traversing bit flips. Using the FPGA-based DRAM-Bender test platform, HeatHammer is evaluated on four commercially available DDR4 modules from different manufacturers …

Addendum To The Mapbook Of Syntactic Variation In American English: Survey Results, 2020–2021, Jim Wood, Guilherme M. C. Pereira

Yale Working Papers in Grammatical Diversity

This paper presents an addendum to the Mapbook of Syntactic Variation in American English (Wood et al. 2020), reporting the results of additional acceptability-judgment surveys conducted by the Yale Grammatical Diversity Project in 2020–2021. Using the same survey design, data-processing pipeline, and mapping techniques as the original mapbook, we extend the empirical record to a new set of syntactic constructions, including additional uses of hella, causal where, the alternative one construction, intensificational fully, and several cases of object omission with transitive verbs, which we call “lonely transitives”. As in the original work, we provide geospatial visualizations of …

Real-Time Deep Learning Detection Of Toraja Carving Motifs Using Yolo11m For Cultural Heritage Preservation, Herman Herman, Farid Wajdi Mufti, Abdul Rachman Manga, Haidawati Nasir

Knowledge Engineering and Data Science

Toraja carvings are an important part of Indonesia’s cultural heritage, rich in symbolic, aesthetic, and philosophical meaning. However, the identification and preservation of carving motifs still rely on subjective, time-consuming manual processes, limiting scalability and inconsistent knowledge transmission. From a Knowledge Engineering and Cognitive Data Science perspective, this challenge highlights the need for mechanisms that can transform visual cultural artifacts into structured, machine-interpretable knowledge. This study investigates the use of the YOLO11m model as a data-driven approach for modeling cultural knowledge through automated detection of three Toraja carving motifs: pa_tedong, pa_kapu_baka, and pa_manu_londongan using original images collected directly from traditional …

Forecasting Inland Waterway Container On Barge Volume: A Machine Learning Approach Using Economic Features, Fan Bu, Heather Nachtmann

Industrial Engineering Faculty Publications and Presentations

This study presents a machine learning approach to predict Container-on-Barge (COB) volume in Inland Waterway Transportation (IWT) systems, focusing exclusively on using economic features as predictors. Five machine learning models were trained using European economic features to forecast COB volume, while historical COB volume was used solely for validation and hyperparameter tuning. Among these models, the convolutional neural network combined with long short-term memory (CNN-LSTM) exhibited superior performance, achieving a mean absolute percentage error (MAPE) of 1.08% when forecasting eight consecutive quarters of COB volume in Europe. The results demonstrate the feasibility of accurately forecasting COB volume using economic features. …

The Legal System Of Invalid And Annulled Sentences, Maryam Bint Salem Bin Saif Al-Wuhaibiyah, Saif Bin Nasser Bin Abdullah Al-Maamari, Hafidh Jaafar Ibrahim

Journal of Arts and Social Sciences

The Constitutional law guarantees the right to litigation for all and allocates the form by which individuals claim their rights, which is the lawsuit, to a set of guarantees that guarantee the smooth conduct of the dispute. It specifies a set of formalities so that individuals can be assured of the validity of the procedure taken by both parties. However, the procedures for examining the dispute or the sentences issued It may be affected by a group of defects that lead to a violation of the right subject to the sentence, so the law has organized the description that affects …

Analysis Of Demand And Supply Of Radiotherapy Services At Dr.M.Djamil General Hospital Padang, Viola Shinta Dewi, Catur Suharinto, Zarni Zamzahar, Yulhaini Yulhaini

Preventia: The Indonesian Journal of Public Health

Around 10 million cases of cancer are discovered in the world per year, and it will continue to increase. Half of cancer cases require radiotherapy as treatment therapy. Dr. M. Djamil General Hospital, Padang, in 2021, has only 1 Cobalt radiotherapy. This study aimed to analyze the demand and supply of radiotherapy services at Dr. M. Djamil General Hospital, Padang. This descriptive study was conducted at Dr. M. Djamil General Hospital, Padang from May to December 2022. Data were analyzed using univariate analysis to describe the variables studied. This study reported that 241 patients were registered and received radiotherapy services. …

Asadh: A Meta Learning-Based Auto-Selective System For Anomaly Detection In Healthcare, Nadia Rashid, Rashid Mehmood, Fahad Alqurashi, Turki Alghamdi

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Anomaly detection plays a crucial role in healthcare, supporting early disease identification, process improvement, and the reliability of medical equipment. Traditional machine learning (ML) and deep learning (DL) models often fail to generalize across heterogeneous medical datasets due to variations in feature distributions, class imbalance, and high dimensionality. To address this, we extend our earlier ASAD framework and propose ASADH (Auto-Selective Anomaly Detection in Healthcare), designed specifically for medical anomaly detection. ASADH applies meta-learning over a unified set of cross-modal meta-features spanning tabular, time-series, and medical image data to characterize each dataset and automatically recommend the most suitable anomaly detection …