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Wilde Olivares-Arteaga V. Attorney General United States Of America

2025 Decisions

Agency

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Bezalel Grossberger V. Essex County Superior Court

2025 Decisions

USDC for the District of New Jersey

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Gary Calderwood V. Carl Rinsch

2025 Decisions

USDC for the Eastern District of Pennsylvania

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Usa V. Brent Galletta

2025 Decisions

USDC for the Eastern District of Pennsylvania

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Laying The Groundwork For Liberatory Expressive Arts Research: A Queer Review, Robyn E. Ginsberg

Expressive Therapies Theses

The goal of this thesis was to reveal the interconnectedness of disparate discourse across diverse disciplines and locate it within one queer domain. The intersection of (expressive) art and (community/participatory) action is a space within which queer collaboration can take place. It is a space that can accommodate and energize non-normative idea generation and exchange which can mobilize queer resistance to create societal change (Fernández & Fine, 2024; Rutten, 2016). By engaging with interdisciplinary literature and situating conceptual frameworks in dialogue this review provides a foundation for liberatory expressive arts research (LExAR) and practice. Key themes include: centering queer and …

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Increasing Understanding With Multiple Means Of Representation: Interactive Workshop For Teaching Staff, Cathy Stephens

Staff Scholarship - Australia & Dubai

Universal Design for Learning (UDL) is an educational framework aimed at optimising knowledge acquisition for all types of learners, recognising the uniqueness of each.
Within this framework, Multiple Means of Representation (MMR)—providing resources in varieties of forms—maximises access to content processing.
This forum presentation gave an overview of Universal Design for Learning concepts to lecturing staff at SAE University College, exploring some strategies used to diversify content and engage learning. It also used Padlet to engage attendees in a set of active learning exercises to examine manageable ways of incorporating multiple resources.

This National Forum workshop included collaborative, eLearning, active …

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Computational And Imaging Approaches For Precision Characterization Of Bone, Cartilage, And Synovial Biomolecules., Rahul Kumar, Kyle Sporn, Vibhav Prabhakar, Ahab Alnemri, Akshay Khanna, Phani Paladugu, Chirag Gowda, Louis Clarkson, Nasif Zaman, Alireza Tavakkoli

Department of Medicine Faculty Papers

Abstract

Background/Objectives: Degenerative joint diseases (DJDs) involve intricate molecular disruptions within bone, cartilage, and synovial tissues, often preceding overt radiographic changes. These tissues exhibit complex biomolecular architectures and their degeneration leads to microstructural disorganization and inflammation that are challenging to detect with conventional imaging techniques. This review aims to synthesize recent advances in imaging, computational modeling, and sequencing technologies that enable high-resolution, non-invasive characterization of joint tissue health. Methods: We examined advanced modalities including high-resolution MRI (e.g., T1ρ, sodium MRI), quantitative and dual-energy CT (qCT, DECT), and ultrasound elastography, integrating them with radiomics, deep learning, and multi-scale modeling approaches. We …

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Electroexcitation Of Nucleon Resonances And Emergence Of Hadron Mass, Patrick Achenbach, Daniel S. Carman, Ralf Gothe, Kyungseon Joo, Victor I. Mokeev, Craig D. Roberts

Faculty Publications

Developing an understanding of phenomena driven by the emergence of hadron mass (EHM) is one of the most challenging problems in the Standard Model. This discussion focuses on the impact of results on nucleon resonance (N*) electroexcitation amplitudes (or γ_vpN*) obtained from experiments during the 6 GeV era in Hall B at Jefferson Lab on understanding EHM. Analyzed using continuum Schwinger function methods (CSMs), these results have revealed new pathways for the elucidation of EHM. A good description of the Δ (1232) 3/2⁺, N (1440) 1/2⁺, and Δ (1600) 3/2^{+ …}

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He’S The Kid That No One Wanted: An Autoethnographic Examination Of Preschool Suspensions And Expulsions From A Mother’S Lens, Lisa M. Smith

USF Tampa Graduate Theses and Dissertations

This autoethnographic research examines the personal and professional journey of advocating against preschool suspensions and expulsions through the lens of a Black mother. Titled He’s The Kid That No One Wanted: An Autoethnographic Examination of Preschool Suspensions and Expulsions from a Mother’s Lens, " it dives into the complicated challenges faced while confronting exclusionary disciplinary practices in early childhood education. This research aims to illuminate the societal and institutional roadblocks encountered when navigating systems of power and to explore the impact of these challenges on both personal identity and professional advocacy. Using a blend of social media artifacts and memory …

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Enhancing Employment Readiness Of Information Technology (It) Professionals Of India - A Talent Refactoring Approach, Lakshminarayanan K.V

Theses and Dissertations

The Indian Information Technology (IT) sector is undergoing significant transformation due to the adoption of Industry 4.0 technologies such as Artificial Intelligence, Internet of Things, cloud computing, and cyber-physical systems. These changes have redefined workforce expectations, shifting employment readiness from mere technical competence to a holistic combination of adaptability, behavioral attributes, and continuous learning capabilities. In this context, the study proposes a Talent Refactoring Framework to address employability in a rapidly evolving VUCA–BANI environment by integrating organizational, career-oriented, and individual dimensions.

A review of existing literature reveals notable gaps in understanding employment readiness as an ecosystemic and psycho-social construct, particularly …

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Supreme Court Targets Lgbtq Rights In Follow-Up To Skrmetti Case And New Cases For Next Term, Arthur S. Leonard

Other Publications

No abstract provided.

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Strichartz Estimates For Many Particle Dispersive Equations, Tristan Reynoso

LSU Doctoral Dissertations

Dispersive equations are useful for describing a wide variety of phenomena in which solutions disperse through the space as time progresses. These equations show up frequently in physics, especially when studying quantum mechanical and fluid related systems. The single particle variants of equations such as the Schr\"{o}dinger and Wave equations have been studied at great length throughout modern history. Over the last couple decades progress has been made toward extending single particle dispersive equations to cover their many body counterparts. Space-time Strichartz estimates for the homogenous $N$-particle Schr\"{o}dinger equation with small interacting potentials was recently established on both $\mathbb{R}^d$ and …

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Measles Assessment And Treatment, Bob Underwood, Edward Lyon

Pediatrics in Practice: A CME Podcast

Eddie Lyon, MD, discusses concerns related to an uptick in measles cases, and how community providers can assess, limit exposure and guide patients to remain healthy.

Click here to stream the podcast episode.

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A Transcendental Phenomenology: Exploring The College Choice Process Of Black Undergraduate Students Who Transfer From Predominantly White Institutions To Historically Black Colleges And Universities, Heather Oliver Freeman

LSU Doctoral Dissertations

Researchers have studied college students and the college choice process extensively in the higher education realm of academia. Often, college choice is explored from a lens of the traditional high school student approaching the initial college choice decision. Furthermore, higher education is an expansive topic that not only includes public and private institutions, two- and four-year institutions, but also predominantly White institutions (PWIs) and historically Black colleges and universities (HBCUs). The purpose of this transcendental phenomenological study was to explore the college choice process and transfer experiences of undergraduate Black students who transfer from a PWI to an HBCU. This …

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Deep Learning For Absorption-Image Analysis, Jacob Morrey, Isaac Peterson, Robert H. Leonard, Joshua M. Wilson, Francisco Fonta, Matthew B. Squires, Spencer E. Olson

Space Dynamics Laboratory Publications

The quantum state of ultracold atoms is often determined through measurement of the spatial distribution of the atom cloud. Absorption imaging of the cloud is regularly used to extract this spatial information. Accurate determination of the parameters which describe the spatial distribution of the cloud is crucial to the success of many ultracold atom applications. In this work, we present modified deep learning image classification models for image regression. To overcome challenges in data collection, we train the model on simulated absorption images. We compare the performance of the deep learning models to least-squares techniques and show that the deep …

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Hemp Cultivation Under Off-Season High Tunnel Growth Chamber Environments In South Louisiana, Gabriel Lococo

LSU Master's Theses

Industrial hemp (Cannabis sativa) production in Louisiana began in 2020 with 932 acres cultivated for fiber and cannabidiol (CBD) extraction. By 2024, production had declined to just 58.4 acres (Louisiana Department of Agriculture and Forestry, personal communication). During the 2020–2021 season, over 40% of field-grown hemp was lost due to tropical storms, insect pressure, and diseases associated with warm, wet conditions. To mitigate these challenges, hemp was planted and harvested between November and January, a cooler period with reduced environmental stress.

‘Sour Citron’, a day-neutral cultivar, was selected for its insensitivity to photoperiod, enabling flowering during shorter days. …

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An Ensemble Approach For Detection Of Malicious Urls Using Som And Tabu Search Optimization, Simar Preet Singh, Abhilash Maroju, Mohammad Kamrul Hasan, Karan Tejpal

Polytechnic Journal

Abstract: The fast spread of malicious URLs is a significant risk to online safety, since it makes assaults like spam, phishing, virus distribution, and vandalism of websites easier to carry out. The dynamic nature of these threats makes traditional detection techniques unable to keep up. Enhanced methods that can handle large-scale datasets and identify new attack patterns are needed for the real-time identification of malicious URLs. This research presents a strong hybrid machine learning approach that combines accurate classification with effective feature extraction. For feature extraction, we provide a Self-Organizing Map based Radial Movement Optimization (SOM-RMO); for classification, we …

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Catching Them Young! A Comparative Study Of Teacher Retention Among Beginning Teachers In Egypt And The United Arab Emirates, Maxwell Peprah Opoku, Ghadah Morshedi, Negmeldin Alsheikh, Bernadette M. Guirguis, Ashraf Mustafa, Enas Mohamed Abdullah, Fatima Alrashdi, Ahmed El-Laithy

All Works

It is widely reported that teachers in their first 5 years of entering the profession are highly likely to leave their teaching positions. There have been many discussions on how to keep beginning teachers in the profession, mainly in Western countries. However, no such discourse exists on teacher retention in non-Western contexts, such as Saudi Arabia. This study aimed to extend Western literature to the Middle Eastern context by investigating the retention of beginning teachers in Egypt and the United Arab Emirates. Four hundred and sixty-six novice teachers were evaluated using the Teacher Retention Scale, which was developed on the …

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Board Mtg Minutes 2025-07-09 - Advocacy Committee Mop Entry, Sherrie Mortensen

Executive Board

No abstract provided.

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