Digital Commons Network^™

The Key Bridge Collapse: An Opportunity To Reel In Shipowners’ Protections, Elliott Lagorce

Maryland Law Review

No abstract provided.

State Climate Superfunds: States Are Not Powerless To Hold Polluters Accountable, Daniel Milovic

Maryland Law Review

No abstract provided.

Experimental Study Of A Scaled Flexible Riser For Hydrogen Transport From A Floating Wind Turbine Platform To The Seabed, Jessica Guichard, Martyn Hann, Tom Tosdevin, Deborah Greaves

School of Engineering, Computing and Mathematics

Dolphyn Hydrogen aims to support the UK Government’s 2030 hydrogen targets by deploying a 10-15 MW Commercial Scale Demonstrator that produces hydrogen offshore using wind energy. To achieve this, hydrodynamic studies are required to optimise the flexible pipeline transporting hydrogen from a floating wind turbine to the seabed, as well as the buoyancy modules that create the riser’s lazy wave shape. A key parameter is ensuring the riser never bends below its minimum allowable radius. The hydrodynamic behaviour of a 6-inch NOV flexible pipe is tested at 1:62 scale in the University of Plymouth’s COAST Laboratory Ocean Basin. The riser …

Quantitative Determination Of Nano Delivered Kras Sirna, Axel S. Deraspe

USF Tampa Graduate Theses and Dissertations

This study focuses on the development and validation of analytical methods for the detection of therapeutic KRAS-targeting siRNA in biological systems. Physicochemical characterization showed that p5RHH-formulated siRNA nanoparticles exhibit a controlled nanoscale size distribution, moderate polydispersity, and a negative zeta potential, suggesting colloidal stability and potential suitability for cellular uptake. Scanning electron microscopy confirmed a predominantly spherical morphology with a relatively uniform size distribution, consistent with dynamic light scattering measurements.

To enable accurate siRNA quantification, stem–loop reverse transcription (SL-RT) coupled with SYBR Green–based quantitative Polymerase Chain Reaction (qPCR) was optimized. Key parameters, including a primer concentration of 100 nM and …

Development Of Blue And Near-Uv Iii-Nitride Laser Diodes, Matthew Seitz

Theses

III-Nitrides show tremendous promise for a wide range of laser diodes and other optoelectronics devices. The wide range of emission wavelengths possible makes these devices ideal candidates for a wide range of applications. Despite this, several challenges remain unsolved, limiting the efficiency and output power from III-Nitride optoelectronics. Three of the most significant remaining challenges surround the formation of low resistance ohmic electrical contacts, poor p-type doping of III-Nitride crystals as well, and the fabrication of the smooth, mirror facets needed for optical feedback and laser operation. Inefficient dopant activation leads to poor conductivity and increased electrical resistance due to …

A Study Of Prompt Tuning On Small Language Models(Slms): A Controlled Benchmark And A Lightweight Instance-Aware Method, Narkadamilli Sahith

Master’s Dissertations

Parameter-efficient fine-tuning (PEFT) adapts a frozen pre-trained language model by training only a small number of additional parameters. Among PEFT approaches, prompt tuning prepends trainable continuous vectors (soft prompts) to the input. A recurring finding in the literature is that prompt tuning is strongly scale dependent: it rivals full fine-tuning on very large models but lags on smaller ones. This dissertation studies prompt tuning specifically in the small-language-model (SLM) regime. We (i) re-implement a representative set of prompt-tuning methods—Prompt Tuning, P-Tuning v2, LoPT, DPT, DePT, ACCEPT, Residual Prompt Tuning, and PARA—within a single controlled harness, enabling a fair head-to-head comparison …

Clinical Outcomes Of Injectable And Conventional Pulmonary Valve Replacement In Severe Pulmonary Regurgitation, Sercan Tak, Murat Koç, Ali̇ Kutsal, Vehbi̇ Doğan

Turkish Journal of Medical Sciences

Background/aim: Pulmonary regurgitation following tetralogy of Fallot repair is a common long-term complication requiring pulmonary valve replacement. Injectable bioprosthetic valves offer a less invasive alternative to conventional surgical replacement, but comparative data in pediatric populations remain limited. This study aimed to evaluate short-term and long-term clinical outcomes of injectable pulmonary valve replacement and conventional pulmonary valve replacement in pediatric patients with severe pulmonary regurgitation following tetralogy of Fallot repair.

Materials and methods: This retrospective study included 22 pediatric patients who underwent pulmonary valve replacement. Patients were divided into injectable (n = 9) and conventional (n = 13) groups based on …

Pinnlab: An Interactive Dashboard For Teaching Data-Driven Parameter Estimation In Differential Equations Using Physics-Informed Neural Networks, Mohan J. Parthasarathy, Padmanabhan Seshaiyer

CODEE Journal

Undergraduate instruction in ordinary differential equations (ODEs) is typically organized around the forward problem: finding solution trajectories when the governing equation and its parameters are known. In scientific practice, however, inverse problems are often more relevant, requiring unknown parameters to be inferred from noisy observations while assessing whether a proposed model is consistent with the data. We introduce PINNLab, an open-source MATLAB dashboard designed to help undergraduate students explore inverse modeling through physics-informed neural networks (PINNs). PINNLab presents PINNs as a complementary data-driven framework that connects differential equations, optimization, empirical data, and scientific machine learning. The instructional sequence is organized …

Learning To See Lesions, Not Skin Tone: Counterfactual Multimodal Learning For Fair, Trustworthy, And Text-Free Dermatology Ai, Shivam Jangid

Master’s Dissertations

Recent advances in deep learning have significantly improved the performance of automated skin lesion classification systems, enabling accurate detection of various dermatological conditions from medical images. Despite these achievements, concerns regarding fairness and generalization remain a major challenge for the deployment of such systems in real-world clinical settings. A key factor contributing to these challenges is the presence of bias in training datasets, particularly with respect to skin-tone representation. Most publicly available skin lesion datasets contain a disproportionate number of samples from individuals with lighter skin tones. As a result, deep learning models trained on these datasets often learn representations …

Adaptive Spectral Trust Gate For Physics- Constrained Operator Learning, Soham Chakraborty

Master’s Dissertations

Physics-informed machine learning improves the plausibility, data-efficiency and generalization of surrogate models by injecting prior physical knowledge into the learning process. The current approaches can be broadly divided into two main categories: soft constraints, which add a physics residual to the training loss but guarantee nothing at inference time, and hard constraints, which project the model output onto the constraint set exactly but apply the projection uniformly to every part of the signal — including parts that are dominated by noise, discretization error, or model mismatch, where the idealized physics is not actually trustworthy. This dissertation proposes the Adaptive Spectral …

Innovation Hubs In Mountain West Cities, 2025, Cason Noll, Sean Curry, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data on 20 innovation-dense Mountain West cities across Arizona, Colorado, Nevada, New Mexico, and Utah. The CommercialCafe report, “Santa Clara, Berkeley & Tempe Lead Among Western Innovation Hubs,”  uses 15 indicators to rank 63 western cities for innovation hub activity across three categories: employment and talent, education, and business activity.

The Power Of Proximity: Driving Hand Hygiene Compliance Through Sanitizer Placement, Jennifer E. Jones, Eric Van Middendorp, Leanne Wendt

Posters

Hand hygiene is the cornerstone of infection prevention in healthcare settings and is particularly critical in the Neonatal Intensive Care Unit (NICU) where patients are highly vulnerable due to immature immune systems and frequent exposure to invasive procedures. Healthcare associated infections (HAIs) remain a significant cause of morbidity and mortality among neonates. Evidence consistently identifies proper hand hygiene as the single most effective intervention to reduce HAIs in NICUs. Despite its simplicity, compliance among healthcare workers is often suboptimal, influenced by factors such as workload and accessibility of hand hygiene resources.

Interseismic Creep Along The Enriquillo–Plantain Garden Fault, Haiti, Estimated From Insar, Rishabh Dutta, Jeremy L. Maurer, Yi Chieh Lee

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The Enriquillo–Plantain Garden fault zone (EPGFZ) is a major left-lateral strike-slip fault in southern Haiti hosting several recent destructive earthquakes, including the 2021 MW 7.1 Nippes event with primary thrust-slip. To investigate how strain is accommodated in the vicinity of the 2021 event, we analyzed Sentinel-1 interferometric synthetic aperture radar (InSAR) data from 2017 to 2021 using a PS + DS (persistent + distributed scatterers) InSAR time-series approach to overcome decorrelation in this highly vegetated region. We reveal interseismic creep along the EPGF and adjacent Grand'Anse–Sud border faults, with pure strike-slip mechanism and rates up to 9 mm/yr. We suggest …

Load Profile Analysis And Forecasting For Rural Mini Grids In Uganda, Prossy Mutesi, Santos L. Kihwele, Emmanuel S. Matee

Tanzania Journal of Science

Accurate load forecasting is essential for the reliable and cost-effective operation of rural mini grids, where constrained generation capacity and high penetration of renewable energy resources require well-informed operational decisions. This study examines electricity demand characteristics and forecasting performance for the Buzaami and Ssenyondo mini grids in Uganda, with particular focus on diurnal load profiles, peak demand behavior, and seasonal variability. 2022 operational data show extended peak demand from early morning to late evening, driven by socio-economic activities that strain resource scheduling and reliability management. To address these challenges, the study evaluates and compares Long Short-Term Memory (LSTM) networks, fuzzy …

Optimization Of Bio-Briquettes Production From Cassava Stems Co-Blended With Sisal Bole Bagasse Using Response Surface Methodology, Agnes Nshoma Msobi, Neema O. Msuya, Kando Khalifa Janga

Tanzania Journal of Science

This research aimed at producing bio-briquettes from cassava stems and sisal bole bagasse as an alternative source of cooking energy. A Response Surface Methodology (RSM) with Face - Centered Central Composite Design (FCCCD) featured a multi-objective optimization of the effect of the production parameters, focusing on maximizing char yield and Higher Heating Value (HHV) of the produced briquette while minimizing carbonization temperature and residence time. The findings showed that bio-briquettes produced at the lowest temperature (250 ℃) and residence time (30 min) and the blending ratio of 75% by 25% had the highest char yield of 76.92% and HHV of …

Modelling And Analysis Of 50 Mwp Solar Pv Integration Into Tanzania’S Transmission Network: A Case Study Of Tagamenda Substation, Iringa Region, Santos Kihwele

Tanzania Journal of Science

While increasing the share of renewable energy in the grid, grid integration studies for the utility solar photovoltaic (PV) plants are vital, given their intermittency and the fact that Tanzania has never had one connected to the grid. This paper presents a 50 MWp grid integration study, including a technical analysis conducted using PSS®E software. The study investigates the grid behaviour during the integration of the 50 MWp solar plant, considering the most suitable technical and economic solutions. The study analysed the load flow under normal conditions, contingency analysis (N-1), short- circuit analysis, and voltage stability assessment. The results show …

Extraction Of High-Quality Cashew Nutshell Liquid Using Carbon Dioxide-Expanded Hexane, Frank N. Jacob, Neema Msuya, Joseph Y.N Philip, Kando Khalifa Janga

Tanzania Journal of Science

Cashew nutshell liquid (CNSL) is a by–product from cashew processing industries containing four naturally occurring phenolic compounds. This study investigated an extraction approach using CO2–expanded hexane. The central composite design (CCD) was employed in experimental design to investigate the effects and interaction of CO 2 mole fractions and extraction temperature on the CNSL yield and quality (Colour) from Steamed CNSL. The dissolution power of the CO2–expanded hexane was assessed by determining the solubility of CNSL during the initial stages of extraction at different extraction conditions. Findings indicated that higher CO2 mole fractions reduced CNSL solubility, while higher temperatures enhanced it. …

Direct Minimization Of Hartree-Fock-Roothaan Energy Functionals Using Derivative-Free Optimization Algorithms: A Case Study On The Use Of Noninteger Slater-Type Orbitals, Ali̇ Bağci

Turkish Journal of Physics

This study presents an evaluation of derivative-free optimization algorithms for the direct minimization of Hartree−Fock−Roothaan energy functionals involving nonlinear orbital parameters and noninteger-order quantum numbers. The analysis focuses on atomic calculations employing noninteger Slater-type orbitals. Analytic derivatives of the energy functional are not readily available for these orbitals. Four methods are investigated under identical numerical conditions: Powell’s conjugate−direction method, the Nelder−Mead simplex algorithm, coordinate-based pattern search, and a model-based algorithm utilizing radial basis functions for surrogate-model construction. Performance analysis is first carried out using the Powell singular function, a well-established test case exhibiting challenging properties, including Hessian singularity at the …

Analytical Eigenmode Framework For Triplet-Mediated Fluorescence Dynamics Under Pulsed Excitation, Bariş Demi̇rbay

Turkish Journal of Physics

An exact analytical solution to a three-state photophysical model is presented to explicitly map the time-resolved fluorescence dynamics of a fluorophore under pulsed excitation. As distinct from earlier analytical treatments that primarily focused on transient absorption and total ground-state depletion, the proposed eigenvalue-eigenvector framework captures both transient and steady-state emission responses. The photophysical model accounts for electronic transitions between the singlet ground state, the excited singlet state and a long-lived triplet state, enabling a treatment of excitation, radiative decay, intersystem crossing, together with triplet-state relaxation. By diagonalizing the rate matrix consisting of phenomenological transition rates, closed-form expressions for the time-dependent …

Coupling A Discrete State To A Quasi-Continuum: A Model Quantum-Mechanical System That Interpolates Between Rabi Oscillations And Decay-Revival Dynamics, Enes Kutay İşgörür, Osman Cevheroğlu, Arkadaş Özakin

Turkish Journal of Physics

We formulate a quantum-mechanical system consisting of a single discrete state coupled to an infinite ladder of equally spaced states, with the coupling described by a Lorentzian profile. Various limiting cases of this system correspond to well-known models in quantum optics: the narrow-resonance limit yields the Rabi model, the wide-resonance limit yields the Bixon--Jortner model, the wide-resonance true continuum limit yields the Wigner--Weisskopf model, and the fixed-resonance true continuum limit yields a system typically studied using methods developed by Fano. We obtain a semianalytical solution to the eigenvalue problem by reducing it to a transcendental equation and demonstrate the limiting …

Bridging The Gap Towards Sustainable Development: A Systematic Literature Review On Orang Asli Communities In Peninsular Malaysia, Nurfatiha Akmal Fawwazah Abdullah-Fauzi, Nursyuhada Othman, Hidayah Haris, Nur Hartini Sariyati, Farah Farhana Ramli, Kaviarasu Munian, Mohd Faudzir Najmuddin, Mohd Tajuddin Abdullah, Muhammad Abu Bakar Abdul-Latiff

Forest and Society

Orang Asli communities in Peninsular Malaysia have a complex history marked by challenges related to land rights, environmental degradation, and cultural preservation. Despite ongoing efforts to address these challenges, significant obstacles persist, particularly in healthcare access and outcomes, education, language preservation, dietary practices, religious beliefs, and policy frameworks. This systematic literature review aims to provide a comprehensive analysis of past and current research on various aspects of Orang Asli communities in Peninsular Malaysia. The primary goal is to uncover the trends of challenges and unique characteristics of the Orang Asli communities while offering valuable recommendations for improvement. The Preferred Reporting …

Paths To Stability And Wealth: Evidence From The Habitat For Humanity Wealth Building Project, Yung Chun, Somalis Chy, Laura Evans, Xueying Mei, Stephen Roll

Center for Social Development Research

Owning a home has long been the most common way for American families build wealth—but for low- and moderate-income families, the route is rarely open and rarely simple. And handing a family the keys does not guarantee that the house will become an asset. This report sets out to answer a hard question: Can homeownership deliver lasting wealth to the families who have been locked out of it the longest, and what does it take to make that happen? This study presents findings from the first national evaluation of the Habitat for Humanity Wealth Building Project. The report examines how …

Gci #320: Swarm Recovery & Pelletization System (Srps), Michael Victor Caldwell Mr.

Defensive Publications Series

This invention discloses a mobile, field‑deployable, modular processing platform that intercepts migrating Mormon cricket bands and converts them into:

• Nitrogen‑rich fertilizer pellets

• Chitin soil amendments

• Biochar‑enhanced carbon‑rich pellets

The system is built in two layers:

Version A — Real‑World, Low‑Regulation System

Uses only proven agricultural machinery and heat‑pasteurization.

This version can be built immediately with no exotic components.

Version B — Advanced GCI Upgrade Modules

Adds Phoenix‑Cracker cavitation, VABR acoustic‑vortex refining, MASA acoustic herding, and Omni‑Vortex power systems.

These are optional bolt‑on modules.

This disclosure includes complete subsystem descriptions, mechanical logic, operational workflow, and engineering rationale.

Hdfs Grpc Writer: A Unified High-Performance Data Ingestion Engine, Raouf Khan Mr, Mahendra Yadav Mr

Defensive Publications Series

The present disclosure relates to a method and a system for HDFS gRPC writer for unified, high-performance data ingestion system designed to modernize the way both streaming and batch data are written into HDFS. The present disclosure suggests single, scalable gRPC-based ingestion interface capable of handling multiple data formats, while also efficiently managing batching, schema evolution, fault tolerance, and security. After receiving the data, the present disclosure suggests HDFS gRPC writer addresses the small files problem at its source by implementing intelligent size-based and time-based batching. Thereafter, the present disclosure ensures optimal HDFS file sizes without the need for downstream …

Defensive Publication: A Proactive Compliance And Security Enforcement Gateway For Model Context Protocol (Mcp) Servers And Agentic Ai Systems With Two-Stage Bidirectional Inspection, Immutable Sensitivity-Aware Routing, And Tamper-Evident Audit, Tiago Rosado

Defensive Publications Series

This document discloses the architecture of a proactive compliance and security enforcement gateway that mediates all traffic between AI agents (or human clients) and the large language models (LLMs) and Model Context Protocol (MCP) tool servers they invoke. The gateway operates as a reverse proxy enforcing a fail-closed posture: every inbound prompt and every outbound response is inspected by a two-stage pipeline — a sub-5ms offline machine -learning classifier followed by a configurable LLM-based deep-inspection backend — before crossing the boundary. A three-layer sensitivity pipeline (regex, ML, LLM) classifies payloads and routes data graded CONFIDENTIAL or RESTRICTED to local-only models …

Meningioma Detection From Mri: A Comparative Study Of Deep Learning Models, A. H. Doha, Sandi Jennifer, Fatima Alabdaly

AUIQ Complementary Biological System

This study compares several deep learning models including DenseNet20, CNN, ResNet50, VGG19, EfficientNet-B3, MobileNetV2, NASNetMobile, Xception to automatically classify brain meningiomas from MRI scans. A public dataset was used to evaluate the proposed model. All models were trained, validated, and tested on this dataset. Because meningiomas are common and manual reads, the goal is to speed and standardize diagnosis. Our main contribution is pairing a high-accuracy classifier with deep learning models. Among all models, DenseNet201 performed best, reaching 0.991% accuracy and reliably separating tumorous from non-tumorous MRIs. Future work will expand the dataset and incorporate stronger segmentation to further boost …

Ignatian Pedagogy For Engaged, Reflective, And Inclusive Learning: New Insights On A Treasured Tradition, Jennifer Tilghman-Havens, Jennifer Loertscher, David Green, Kerry S. Von Esch

Jesuit Higher Education: A Journal

Ignatian pedagogy is the philosophy and methodology for teaching and learning that evolved from the wisdom accumulated from 500 years of Jesuit education. The Ignatian approach views education as a collaborative process that transforms students and teachers, preparing them for moral and ethical action in the world. While the core values of Jesuit education have remained constant, the changing demographics within our Jesuit communities and among the faculty and staff of our institutions offer an opportunity to celebrate its many intersections with peer-reviewed research on effective pedagogical approaches that center students and foster justice, diversity, equity, and inclusion. In this …

A Modified Potter Trap For Safe And Effective Capture Of American Kestrels And Loggerhead Shrikes, Gary M. Santolo

North American Bird Bander

No abstract provided.

Pa Dent J May 2018

Pennsylvania Dental Journal

The Pennsylvania Dental Journal is produced by the Pennsylvania Dental Association six times a year, in January, March, May, July, September and November. Issues include regular columns with regional news impacting the Pennsylvania membership including editorial and government relations news, association activities, member updates, continuing education opportunities, and classifieds.

Pa Dent J Nov 2021

Pennsylvania Dental Journal

The Pennsylvania Dental Journal is produced by the Pennsylvania Dental Association six times a year, in January, March, May, July, September and November. Issues include regular columns with regional news impacting the Pennsylvania membership including editorial and government relations news, association activities, member updates, continuing education opportunities, and classifieds.