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2025 Worker's Compensation Institute, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held November 6, 2025.

2025 Advanced Corporate Counsel, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held October 9-10, 2025.

2025 Year In Review, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

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

Survivor's Guide To Everyday Estate Planning, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held Nov. 21, 2025.

Advanced Issues In Immigration, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held December 19, 2025.

Advanced Civil Mediation, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held July 24-25, 2025.

Adult Guardianship Training, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held December 5, 2025.

Advanced Family Law (South), Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held July 24-25, 2025.

An Update On The Corporate Transparency Act, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held January 29, 2025.

23rd Annual Family Law Institute, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held November 13-14, 2025.

Business Set Up & Growth Through Franchising & Other Structures, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held September 30, 2025.

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.

Advanced Issues In Dui Defense, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2025

Meeting proceedings of a seminar by the same name, held July 24-25, 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.

The Ethical Code Of Access And Use, Modeled By Archival Educator Aurora E. Davis, Jennifer A. Walker, Sarah A. Buchanan, Charissa F. Ercolin

Provenance, Journal of the Society of Georgia Archivists

Archival education has a legacy of collective development between professionals, educators, and students of archives. Longitudinal attention to archival pedagogy can greatly inform ongoing curricular directions, so that students always emerge from their archival program ready to manage complex collections in wide-ranging professional settings. One academic archival program’s first archival educator brought to her role relevant experience from both the aviation and newspaper industries that shaped her pedagogical impact on students. This paper considers the origins of archival education at the University of Missouri through the work of Aurora E. Davis, who served as a faculty member at the School …

Translating Evidence Into Action: Understanding How Community- Based Practitioners Make Intervention Implementation Decisions In Practice, Kristin C. Bennett

Dissertations and Theses (Open Access)

This study examined how community-based practitioners implement public health interventions in practice settings to identify gaps between existing implementation frameworks and real-world practice. Six farmers' markets in Southeast Texas served as cases to understand implementation decision-making by community-based practitioners addressing food access challenges. A qualitative case study approach was employed, using semi-structured interviews with program adopters and key stakeholders to examine how practitioners addressed food access problems, selected interventions, and navigated implementation decisions. This methodology captured the contextual nature of implementation decision-making in community settings. The findings revealed that program adopters recognized health problems through lived experience rather than formal …

2025 - Tennessee Climate Snapshot, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

No abstract provided.

Operating Fund Budget/ Expenditure Summary Report 2nd Quarter 2025-26, Csusb Budget Office

University Budget Office records

No abstract provided.

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 …

Beyond Words: A Systematic Multimodal Framework For Text, Images, And Extreme Helpfulness In Online Reviews, Alvaro J. Aguado Marin

Dissertations

Online product reviews have become increasingly multimodal, combining text with media-rich elements such as images. However, academic research has largely examined textual features in isolation, overlooking how visual content and its interaction with text shape perceived helpfulness. This dissertation addresses that gap by developing and empirically validating a comprehensive framework capturing how textual, visual, and contextual features collectively influence review evaluation. Grounded in the Elaboration Likelihood Model (ELM) and extended through the Text-Image Elaboration Likelihood Model (TI-ELM), the framework advances understanding of how consumers process content from both user- and business-generated sources. It also lays the foundation for examining emerging …

Computational Design Of Nanoporous Materials For The Adsorption Of Per- And Polyfluoroalkyl Substances, Daniel D. Mottern

Dissertations

Per- and polyfluoroalkyl substances (PFAS) are a large family of chemicals that have seen wide usage due to their fluorinated carbon backbone. The presence of strong C-F bonds in the backbone lends PFAS molecules high thermal and chemical stability, as well as strong hydrophobicity and lipophobicity. This combination of properties has led to heavy use of PFAS as surfactants, non-stick coatings, and aqueous foam forming films and flame retardants. However, these properties bring their own consequences. The high chemical and thermal stability of PFAS renders them persistent, with the C-F bonds resisting naturally occurring forms of degradation. Existing forms of …

Entropic Forces Near Fluctuating Surfaces, Rubayet Hassan

Dissertations

Nanoscale structures are inherently dynamic due to persistent thermal fluctuations. Even in solid materials, these random deformations, driven by ambient thermal energy, can become significant when their characteristic scale approaches that of the structure itself and strongly influence their overall mechanical behavior. Examples of such structures include crystalline membranes, appearing in diverse forms such as nanotubes, nanoribbons, and kirigami/origami structures. Similarly, biological nanostructures, including lipid membranes, microtubules, actin filaments, and DNA, exhibit extreme flexibility and responsiveness due to their low bending rigidity. Numerous physiological processes are intrinsically linked to these thermal fluctuations, including exocytosis and endocytosis, membrane fusion, pore formation, …

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 …

Data-Driven Analysis And Atomistic Simulations Of Next-Generation Materials For Energy Conversion And Storage, Yuliang Shi

Dissertations

Metal-organic frameworks (MOFs), with their modular architectures and tunable properties, represent an especially rich domain for accelerated material design and discovery for a range of diverse applications. Within this class of multifunctional materials, two-dimensional (2D) electrically conductive MOFs (EC MOFs) are of particular interest, as their 7r-stacked layered structures combine permanent porosity with electronic conductivity, enabling potential breakthroughs in energy storage, energy conversion, and quantum sensing. But the discovery and design of new EC MOFs based on expensive experimental screening is increasingly impractical due to the infinite chemical space. Furthermore, the practical implementation of EC MOFs for specific tasks depends …

Effect Of Local Steel Slag Incorporation On The Mechanical Properties Of Concrete, Ahmed Safaa Tariq Karmah, Wissam Khadum Alsaraj, Luma A. Zghair

Al-Esraa University College Journal for Engineering Sciences

The increasing interest in the production of concrete through the utilization of inexpensive materials has caused a rise in the number of studies concerning the use of materials with cementitious properties, such as Silica Fume, Slag, Fly Ash and other pozzolanic materials. Moreover, the increasing amounts of Steel Slag being produced from local factories that are being deposited without an available method of disposal provides an opportunity to harness the Slag in the production of an inexpensive, and possibly better concrete. Slag has been used as both an addition and substitution of the cement and fine aggregate. The mixtures included …

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 …

Ai-Enhanced Heat Transfer Optimization In Magnetic Bio-Nanofluids, Hasan Attyah Shaboot

Al-Esraa University College Journal for Engineering Sciences

This study presents a hybrid Artificial Intelligence–Computational Fluid Dynamics (AI-CFD) framework for optimizing heat transfer in magnetic bio-nanofluids subjected to external magnetic fields. Magnetic bio-nanofluids, composed of biocompatible base fluids containing superparamagnetic nanoparticles, exhibit tunable thermal and flow behavior, making them promising for biomedical and micro-cooling applications. Conventional optimization methods based on experiments or brute-force CFD are computationally expensive and limited in exploring the full design space. To overcome these challenges, an Artificial Neural Network (ANN) surrogate model was developed to predict two key performance indicators, the Nusselt number and the friction factor, with high accuracy (R² > 0.997). The surrogate …