Digital Commons Network^™

Advice For Incorporating Ai Tools Into Your Legal Practice, Celia Bigoness, Robert A. Mackenzie, David J. Reiss

Cornell Law Faculty Publications

We have been speaking with many lawyers and law students about using generative artificial intelligence (AI) tools in their legal practice. We are struck by the fact that many of them have not been experimenting much, if at all, with the tools that are available to them - although many acknowledge that their clients are increasingly integrating generative AI into their businesses. We have been integrating a lot of these tools into our own professional lives, and here are some tips to help lawyers and law students get comfortable with AI tools that can help them, in big ways and …

Assessing Walleye Recruitment Via Otc Marks And Temporal Sampling Changes In Smallmouth Bass Population Structure In Lake Mcconaughy, Nebraska, Robert D. Allison Iv

Biology Theses, Dissertations, and Student Creative Activity

Lake McConaughy is a socially and economically important reservoir managed to provide diverse, high-quality angling opportunities. Walleye are the most frequently targeted species, although Smallmouth Bass have increased in popularity in recent years due to improvements in abundance and size structure. Walleye have been stocked annually since 1989 to support the population and have been the focus of extensive research. In contrast, Smallmouth Bass have been present for over 80 years and are self-sustaining; however, their population has not been formally evaluated since introduction.

The first objective of this study was to develop an oxytetracycline (OTC) mark retention correction factor …

Ckd-Associated Osteoporosis: A Comprehensive Clinical Update, Suthiya Anumas, Midori Sakashita, Waroot Pholsawatchai

Asian Medical Journal and Alternative Medicine

Objective: To provide an updated overview of the pathophysiology, diagnostic strategies, and treatment options for chronic kidney disease (CKD)-associated osteoporosis.

Methods: A narrative review of recent literature and guideline recommendations, including KDIGO 2017 and 2025, with emphasis on bone health assessment and pharmacologic interventions in CKD.

Results: CKD impairs bone quantity and quality through mechanisms involving uremic toxins, hormonal imbalances, metabolic acidosis, medications, and secondary hyperparathyroidism. While dual-energy X-ray absorptiometry (DXA) remains the standard for assessing bone mineral density, additional insights are provided by bone turnover markers, high-resolution peripheral quantitative computed tomography (HR-pQCT), and bone biopsy. Both antiresorptive and anabolic …

Larry Shemen V. Cincinnati Insurance Co

2026 Decisions

USDC for the District of New Jersey

Applications Of Machine Learning In Enhancing Evaporation Estimation For Small Reservoirs: A Case Study In Semi-Arid South Texas, Syed Muhammad F Abdullah, Chu-Lin Cheng, Jude A. Benavides, Jungseok Ho, Rafael M. Almeida

School of Earth, Environmental, & Marine Sciences Faculty Publications

Small reservoirs in semi-arid regions experience substantial evaporative losses but are rarely monitored at daily scales. A multi-reservoir machine learning (ML) framework was developed to estimate daily open-water evaporation. Empirical models (Penman, Penman-Monteith, Priestley-Taylor, Bowen Ratio Energy Budget) andabenchmark combination method (Daily Lake Evaporation Model-DLEM) were compared against ML models. Predictors combined gridded meteorology (gridMET) with reservoir attributes (surface area, average depth, maximum depth, and fetch). ML models (Random Forest-RF, Decision Tree-DT, K-Nearest Neighbor-KNN, and Support Vector Regression-SVR) were trained on four reservoirs using data from 2018 to 2025. Results from ML models were further validated using both DLEM and …

Massive Septic Shock And Complex Survivorship In A Medically Complex Pediatric Patient Following Gastrostomy Tube Malposition With Operative Findings Of Feed Within The Retrorectus Space, Samira R. Haberman, Christopher M. Ahmad, Olivia R. Kaufman, Rae-Anne Kastle, Brett Dunbar

Student Publications

Gastrostomy tube (G-tube) replacement is often routine; however, in children with complex medical needs, misplacement can rapidly lead to life-threatening complications. We describe the case of a 16-year-old male patient with neuronal ceroid lipofuscinosis who developed fulminant septic shock after accidental G-tube dislodgement and malposition. At an outside hospital, reinsertion attempts required tract dilation; bloody aspirate and inconclusive radiographs were overlooked, and feeds were resumed at home. After 48 hours, the patient presented to a community hospital in profound shock (blood pressure 40/20 mmHg, lactate 7.8 mmol/L, procalcitonin >50 ng/mL) with extensive abdominal wall emphysema and feed extravasation into the …

Current Status Of Msk Diagnostic Ultrasound Education In Doctorate Of Physical Therapy Programs In The United States: A Survey, Lesley Parrish Dr., Heather E. Mount, Casey Charlebois

Innovations in Health Sciences Education Journal

Musculoskeletal ultrasound (MSK-US) is a dynamic, cost-effective imaging modality increasingly integrated into Doctor of Physical Therapy (DPT) curricula. Despite growing interest, variability exists in the integration and implementation of MSK-US in entry-level DPT programs. This study aimed to assess the current status of MSK-US education in accredited DPT programs across the United States. A cross-sectional survey was distributed to all 294 accredited DPT programs in the U.S. via email. The survey consisted of 32 questions that addressed curriculum content, instructional methods, faculty qualifications, and barriers to implementation. Participation was voluntary, and 44 programs responded. No experimental interventions were applied. The …

Exploring How Long-Term Residents Influence Environmental Policy Decisions In The Takushara Settlement In Abuja, Nigeria, Agbanusi Uchechukwu Jonathan

Walden Dissertations and Doctoral Studies

Rapid urbanization of Nigeria’s Federal Capital Territory (FCT) has increasingly marginalized indigenous communities, creating a significant disconnect between top-down environmental governance and how it affects residents. Previous research has found that this land swap displaces indigenous stewards and erodes their traditional ecological knowledge, endangering local livelihoods, food security, and sustainable management of natural resources. The purpose of this narrative qualitative study was to explore how long-term residents perceive and experience their influence in environmental policy decisions through the lens of the social-ecological systems framework and the theory of resilience. This study examined the systematic exclusion of long-term residents of the …

Foster Parents' Experiences Faced With Older Foster Children During Covid-19, Tisha S. Nicholson

Walden Dissertations and Doctoral Studies

The COVID-19 virus was a new virus that caused a worldwide pandemic. There was not much information about what the virus was, what caused it, or how to stop its spread. Vulnerable populations such as those in foster care were especially affected because the foster children had no place to go. The purpose of this qualitative study was to explore the lived experiences of foster parents who had older foster children in their care during the COVID-19 pandemic. There was a lack of research specifically on foster parents and their personal lived experiences with the foster care system and foster …

Effects Of Velocity-Based Training On Muscular Performance In Middle-Aged And Older Adults, Bryson Hughes

Doctorate in Kinesiology

The purpose of this study was to investigate the effects of velocity-based training (VBT) on muscular power and strength in middle-aged adults. Thirteen participants (48.9 ± 9.0 years) completed an 8-week VBT intervention performed at peak power (PP) on the chest press (CP; n = 12) and leg press (LP; n = 11). Participants trained using their individualized load at peak power (LPP) and velocity at peak power (VPP). Repeated-measures ANOVA revealed significant time effects for CP PP (p < .001, ηp² = .661), 3-repetition maximum (3-RM) (p < .001, ηp² = .722), LPP (p < .001, ηp² = .643), as well as LP 3-RM (p < .001, ηp² = .836) and LPP (p < .001, ηp² = .509). Pairwise comparisons demonstrated significant differences across all time points for CP PP (p = .001–.013), CP 3-RM (p < .001–.003), CP LPP (p < .001–.048), and LP 3-RM (p < .001). LP LPP reached significance only from pre- to post-testing (p = .006). Friedman’s test also showed significant time effects for LP PP (p < .001, W = .917), with significant changes across all time points (p = .003–.004). No significant changes in VPP were observed across the intervention. This study provides an early examination of VBT performed at PP in middle-aged adults. Although findings are limited to the current sample, results demonstrate the potential efficacy of VBT at PP for improving muscular strength and power in this population. Future studies should report force and velocity intercepts and include comparative groups to better determine the practical significance of VBT in this demographic.

Evaluating Resistance Training Knowledge Among Secondary School Educators And Coaches: Development And Impact Of A Professional Development Program, Josh Redden

Doctorate in Kinesiology

Resistance training is a critical component of health-related fitness in secondary education, yet research has consistently demonstrated that physical education teachers and coaches lack sufficient content knowledge to effectively instruct and supervise these programs. This action research study evaluated resistance training content knowledge among physical education (PE) teachers, adapted physical education (APE) teachers, and sport coaches within a Louisiana school district and assessed the impact of a one-hour asynchronous professional development course delivered via school district email. Twenty-six participants completed pre- and post-assessments using a 20-item instrument developed through a modified Delphi process with an expert panel. Data were analyzed …

Career Adaptability Of Prospective Teachers With Disabilities In Indonesia: A Phenomenological Study, Rr Dwi Umi Badriyah, Erfan Ramadhani, Ramtia Darma Putri, Syska Purnama Sari, Amândio De Araújo Sarmento, Kadek Suhardita

Jurnal Kajian Bimbingan dan Konseling

Pre-service teachers with disabilities face career transitions shaped by personal aspirations, accessibility barriers, stigma, and limited role models. In Indonesia, little is known about how they build career readiness for teaching within inclusive unequal educational contexts. This study explores the career adaptability of pre-service teachers with disabilities in Indonesia. Grounded in Career Construction Theory, it examines concern, control, curiosity, and confidence, while extending the framework by considering resilience and flexibility as relevant dimensions. A qualitative phenomenological design was used. Twenty-five students with disabilities enrolled in Primary School Teacher Education and Special Education programs at an Indonesian university participated in semi-structured …

Machine Learning Based Models For Simulation And Analysis Of Bulk Earth Melt System, Abin Shakya

LSU Doctoral Dissertations

Understanding the segregation of bulk Earth melt systems into metallic (core) and silicate (mantle) phases under high-pressure and high-temperature conditions is central to modeling Earth’s interior, yet relevant experimental and computational studies remain limited. This work develops a machine learning–based simulation pipeline that iteratively couples first-principles (quantum mechanical) calculations with neural network training to generate high-fidelity force fields. Using major-element Fe–Mg–Si–O melt systems, with and without H and N, as testbeds, we demonstrate that this framework enables large-scale molecular dynamics simulations at near first-principles accuracy. We further introduce a sequence of phase identification methods, progressing from statistical binning of elemental …

Exploring Sequential Technical Practices Towards Skill Development And Musical Expression In Violin Performance And String Pedagogy Methods, Erin Kim

LSU Doctoral Dissertations

This dissertation proposes the Erin Kim System, a pedagogical framework designed to support sequential technical development and musical expression in beginning, intermediate, and advanced levels of violin performance. This system examines how structured technical progression, guided repertoire sequencing, and a nurturing learning environment with the teacher and parents can foster skill acquisition and long-term musical engagement among violin students. Musical enjoyment and inspiration serve as primary motivators for learning, particularly when students are encouraged to work toward performing aspirational repertoire such as the Sibelius Violin Concerto. By organizing repertoire and supplemental exercises in a clear step-by-step process, this system enables …

A Tv-Bm3d Iterative Algorithm For Vmat-Ct Reconstruction, Chia-Lung Chien, Beibei Guo, Rui Zhang

Faculty, Staff and Students Publications

Volumetric modulated arc therapy-computed tomography (VMAT-CT), which is the CT reconstructed using the portal images collected during VMAT, can potentially be an effective onsite imaging tool. The goal of this study was to propose an iterative reconstruction algorithm that can further improve the image quality of VMAT-CT and reduce the number of failed reconstructions. An iterative algorithm combining total variation (TV) with block-matching and 3D filtering (BM3D) was proposed, addressing the L1-L2 regularization problem using the split Bregman method. We collected portal images from 67 VMAT cases including 50 phantom and 17 real-patient cases. Both Feldkamp-Davis-Kress (FDK) and TV-BM3D iterative …

Modelling The Temporal Dynamics Of Microsporidia Mb Prevalence In Anopheles Mosquitoes Under Environmental Variability, Charlène N. Mfangnia, Matteo Pedercini, Henri E. Tonnang, Jeremy K. Herren

All Peer-Reviewed Publications

Releasing Microsporidia MB-positive mosquitoes is being investigated as a promising component of Integrated Vector Management (IVM) strategies for malaria control. In this study, we developed a System Dynamics model to replicate the observed interactions between humans, mosquitoes, the Plasmodium parasite, and the symbiont MB. The model accounts for the impact of environmental variables - such as humidity, rainfall, and temperature - on mosquitoes, Plasmodium, and MB, using exogenous inputs derived from daily climatic observations (rainfall, relative humidity, and temperature) recorded during the mosquito field surveys. We calibrate the model using data collected from Ahero in Kenya, available for 3 years …

"Deep In The Trenches": A Multi-Perspective Interpretive Phenomenological Analysis Of Student Mothers Navigating The Hidden Realities Of Postpartum Anxiety, Rhonda Harris

Theses and Dissertations

Despite availability of effective treatments women with postpartum anxiety (PPA) commonly go untreated because of barriers to care. Student mothers are a particularly vulnerable subgroup of women as they tend to be younger, are less likely to be married, and have lower incomes than non-student mothers. As anxiety rates in college women are higher than the general population and higher than college men, student mothers are at high risk of the adverse effects of untreated PPA. There is a paucity of existing literature about student mothers and mental health. The aim of the current study is to understand the help-seeking …

Two-Dimensional Inverse Scattering Solution Using Nurbs Expansion And A Deep Learning Method, Meisam Shafaee

Turkish Journal of Physics

This paper presents a novel framework for solving two-dimensional (2D) inverse scattering problems by integrating nonuniform rational B-spline (NURBS) parameterization with convolutional neural networks (CNNs). Tra ditional pixel/voxel-based deep learning methods often suffer from high dimensionality and discretization artifacts, while purely geometric approaches lack robust inversion mechanisms. To address these limitations, we propose a hybrid frame work where the relative permittivity profile of an unknown scatterer is compactly represented as a NURBS surface, parameterized by a sparse set of control points and weights. This approach reduces the problem dimensionality over 16 times. On the other hand, using NURBS expansion ensures …

Sub-Nanometer Nanoclusters Of Copper Atop Single-Atom Copper Moieties Toward Electrochemical Co2 Hydrogenation To Methane, Ahmed Badreldin, Mohammad Bilal Minhas, Shengyao Wang, Gabriella Smith, Shaoqin Chen, Shiwen Wu, Carter Racine, Jin Feng, Yun Hang Hu, Tao Li, Ying Li

Michigan Tech Publications

The electrochemical CO2 reduction (eCO2R) offers a compelling route for converting CO2 into value-added fuels and chemicals. Among CO2-derived products, methane (CH4) occupies a distinct position, serving both as a key intermediate for emerging cascade electro-oxidation to oxygenates and as a strategically important extraterrestrial fuel that can be generated in situ from off-planet CO2 resources. Although Cu-based catalysts capable of selectively producing CH4 have been reported, they seldom sustain high selectivity at practically relevant current densities. Here, we created a single-step co-pyrolysis strategy toward generating and anchoring Cu sub-nanometer clusters (CuSNC) atop Cu-Nx single-atom (SA) motifs embedded within N-doped carbon …

Ai's Double Edged Sword: Fighting Against Synthetic Csam, Shekhinah Adra Green

Cybersecurity Undergraduate Research Showcase

The rapid advancements in generative artificial intelligence has introduced new challenges in the production and distribution of synthetic child sexual abuse material (CSAM). AI has the capabilities of creating highly realistic imagery and videos, which  raises serious legal and ethical concerns, increasing the risk of harm, exploitation, and revictimization.

This paper discusses the legal improvements needed in order to lower the change of legal loopholes, how digital forensic analyst use advanced tools to identify and investigate synthetic material, and different methods to start the reduction of synthetic CSAM.

The Mosaic, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

Escaping Isolation: An Analysis Of Virtual Machine And Container Breakout Vulnerabilities, Felix Iov

Cybersecurity Undergraduate Research Showcase

Cloud computing providers rely on multi-tenant architectures to maximize resource efficiency. This infrastructure depends on virtualization, which provides isolation between clients. This comes primarily in the form of Virtual Machines (VMs) and Containers. However, “breakout attacks” or “escapes” are a critical threat where attackers bypass these isolation layers to gain unauthorized access to the host system and neighboring environments. This paper surveys virtualization escape threats and analyzes three case studies: a runc container escape (Leaky Vessels), a VMware ESXi VM escape (VSOCKPuppet), and an NVIDIA GPU container escape (NVIDIAScape). Each demonstrates different attack surfaces, including file descriptor misuse, kernel driver …

Bio-Cybersecurity: Securing The Healthcare Industry, Amanda D. Coleman

Cybersecurity Undergraduate Research Showcase

Bio-cybersecurity refers to the aspect of cybersecurity that applies to the biological sciences and the protection of digital biomedical information. Today’s healthcare industry has evolved with the enhancement of internet and biomedical technology. While hospitals and private medical providers remain compliant with the Health Information Portability and Accountability Act (HIPAA) through traditional means of securing documented patient information, the emergence of beneficial internet-based healthcare services like virtual appointments and digital patient records requires new policies and healthcare cybersecurity frameworks to protect sensitive information from unauthorized access. This paper examines the role of cybersecurity in healthcare, the vulnerabilities that exist and …

Security Risks Of Ai-Generated Code In Software Development, Maame Agyekum

Cybersecurity Undergraduate Research Showcase

Artificial Intelligence(AI) has recently forced change globally, public Institutions and as well as national security. Advancement in machine learning, mixed datasets have enabled significantly powerful systems while being capable of operating at a large scale. As innovation and technological advancement increases at rapid pace, issues like a regulation gap where scientific development far exceeds the government’s ability to regulate and establish an effective oversight. As a result, Artificial Intelligence has been controlled by private companies, leading to an industry where speed and profit often outweigh safety and ethical responsibility.

Variability On M-Dwarf Stars And Its Effect On Exoplanet Detection, Aylin Garcia Soto

Dartmouth College Ph.D Dissertations

Understanding stellar magnetic activity is crucial for exoplanet research: activity can mask signatures from exoplanet detection and characterization, and impact planetary habitability. This is particularly important for M dwarf stars, which are highly magnetically active, displaying spectroscopic and photometric signatures of flares and rotational variability. In this thesis, I will present two complementary perspectives on M dwarf magnetic activity. First, I will discuss a study of short-term variability. I made new ground-based observations of 77 M dwarfs and tested the connection between chromospheric emission and photometric variability. I find a weak positive correlation between H$\alpha$ luminosity (tracing magnetic heating) and …

Growth Potential Of Materials For Decarbonization: Insights From The Cement Industry Value Chain, Noha Mostafa

Mechanical Engineering

To meet the Paris Agreement objectives and limit global warming to 1.5˚C compared to preindustrial levels, it is estimated that the built sector must cut its total emissions by 50% before the year 2030 and fully decarbonize it by 2050. The built environment is estimated to be responsible for 40% of global energy and emissions. These global carbon emissions include both operational carbon—the day-to-day carbon emissions generated through the operation and maintenance of buildings—and embodied carbon. With its recorded high emissions, cement manufacturing is a key area of interest for the decarbonization efforts. To meet the increasing demand for sustainably …

Transport Phenomena Of Multiphase Flow And Slippery Microsphere Suspensions In Confined Space, Ryan Haggerty

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Understanding multiphase flow has many important environmental and engineering applications. For example, understanding gas flow in porous media is useful for energy storage, petroleum engineering, and contaminant cleanup. Nano- and microparticle transport is vital for enhanced oil recovery techniques and environmental contamination. Despite their relevance to environmental engineering, multiphase flows, especially with concentrated particle suspensions, are still a complex and developing topic. Additionally, hydrophobic surfaces are a relatively new area of research, for while the effects of hydrophobicity are observable, the mechanisms may occur on several scales. Hydrophobicity leads to a property called “slip,” which contradicts the traditional treatment of …

Diffeomorphisms In Quantum Black Hole Interiors, Ian William Bornhoeft

Electronic Theses and Dissertations 2020 - Present

We begin with an introduction to canonical Loop Quantum Gravity. We then introduce a notion of residual diffeomorphism covariance in quantum Kantowski–Sachs (KS), describing the interior of a Schwarzschild black hole. We solve for the family of Hamiltonian constraint operators satisfying an associated covariance condition, as well as parity invariance, preservation of the Bohr Hilbert space of Loop Quantum KS and a correct (naive) classical limit. We further explore imposing minimality of the number of momentum shift terms, and compare the solution with other Hamiltonian constraints proposed for Loop Quantum KS in the literature. In particular, we discuss a lapse …

Cover And Contents

Turkish Journal of Physics

No abstract provided.

From Stability To Spintronics: A Comprehensive High-Throughput Investigation Of 2d Mf4 Lieb Lattices, Uğur Yorulmaz

Turkish Journal of Physics

The research on two-dimensional (2D) materials which have intrinsic magnetism and exotic electronic struc tures is an important quest in condensed matter physics. The Lieb lattice offers a unique platform for studying strongly correlated electron phenomena. In this work, we systematically investigated the structural, dynamical, mechanical, electronic, and magnetic properties of monolayer transition metal tetrafluorides (MF4, where M = Ag, Cd, Cr, Cu, Fe, Hf, Mn, Mo, Nb, Ni, Pd, Pt, Rh, Ru, Sc, Ta, Ti, V, W, and Y) arranged in a 2D Lieb lattice, using first-principles calculations based on density functional theory (DFT) with Hubbard (U) corrections. Our …