Digital Commons Network^™

A Holistic Approach Is Needed For The Treatment Of Alcohol Use Disorder, Victoria T. Kronsten, Ashwin Dhanda

Peninsula Medical School

EditorialsA holistic approach is needed for the treatment of alcohol use disorderKronsten, Victoria T.1; Dhanda, Ashwin2Author Information1Faculty of Life Sciences and Medicine, School of Immunology and Microbial Sciences, Roger Williams Institute of Liver Studies, King’s College London, London, UK2Faculty of Health, School of Immunology and Microbial Sciences, University of Plymouth, Plymouth, UKAbbreviations: AUD, alcohol use disorder; AUDIT-C, Alcohol Use Disorders Identification Test— Consumption; EtG, ethyl glucuronide.Correspondence Victoria T. Kronsten, Faculty of Life Sciences and Medicine, School of Immunology and Microbial Sciences, Roger Williams Institute of Liver Studies, King’s College London, London, UK. Email: [email protected] Transplantation 31(6):p 699-700, June 2025. | …

On The Sensitivity Of Short Design Waves For Semi-Submersible Wind Platforms, S.A. Brown, T. Tosdevin, M. Hann, D.M. Greaves

School of Engineering, Computing and Mathematics

Determining ultimate loads and platform motions is essential for both survivability and cost-effectiveness in the development of floating offshore wind. Current design standards utilise time-consuming methodologies that rely on irregular sea state simulations to determine design loads. Design waves offer the potential to accelerate the design process through the simulation of shorter wave profiles that specifically target extreme responses. However, it is not well understood how reliable design waves are for floating devices. Using a mid-fidelity numerical tool, this paper explores the characteristic loads produced by four design wave methods for a semi-submersible floating wind device over a wide range …

Ccp-Wsi Blind Test Series 5: Numerical Investigation Of Isothermal Sloshing In A Circular Tank Using Openfoam, Scott Brown, Vivek Francis, Stuart Colville, Deborah Greaves, Ignacio Pregnan Johanessen

School of Engineering, Computing and Mathematics

Sloshing dynamics in partially filled tanks is a critical concern across various engineering disciplines, including maritime, aerospace, automotive, and industrial applications. This work concerns a series of sloshing test cases using computational fluid dynamics and represents an individual contribution to the CCP-WSI Blind Test Series 5, in which the submitted results are compared against both physical and alternative numerical solutions. Free surface and centre of gravity measurements are presented and the sensitivity to crucial numerical techniques such as turbulence modelling are assessed. Results suggest that capturing the onset of excitation is particularly sensitive to the choice of turbulence model and …

Developing Human-Autonomy Teaming Strategies For Maritime Cyber Security Resilience In Uncrewed Autonomous And Remote Surface Vessel Operations, Juan Palbar Misas, Kimberly Tam, Kevin Jones

School of Engineering, Computing and Mathematics

The development of new technologies and digital capabilities for Uncrewed Autonomous and Remote Surface Vessel Operations (UARSVO) is driven by various industry stakeholders. This evolution impacts the maritime industry's human role, transforming from Human-Autonomy Hybrid (HAH) to Human-Autonomy Teaming (HAT). Human-Autonomy Collaboration (HAC) is vital for maritime safety, security, and sustainability, particularly in light of increasing cyber incidents in remote operations, which necessitates greater cyber resilience due to technology at sea and ashore. This paper aims to provide a holistic socio-technical approach to investigate and present an overview of the current state-of-the-art research, focusing on the human perspective in maritime …

Reduction In Opioid Requirements Following Changes To Regional Anesthesia For Patients Undergoing Total Knee Arthroplasty, Jeffrey Mauras, Michael Mcmahon, Jaudé Petrie, Ryan Roubion, Amy Bronstone, Claudia Leonardi, Vinod Dasa

School of Medicine Faculty Publications

Background: Newer analgesic techniques to reduce opioid use and pain after total knee arthroplasty (TKA) include preoperative cryoneurolysis, adductor canal block (ACB), and local anesthetic infiltration between the popliteal artery and capsule of the knee (iPACK) block. The purpose of this study was to evaluate whether changing the regional analgesic from ropivacaine to liposomal bupivacaine would provide superior pain relief and reduce opioid requirements at 2 and 12 weeks following TKA. Methods: We conducted a retrospective medical records review of 140 consecutive patients who underwent primary TKA at a single site and received ACB with ropivacaine (multimodal-ropivacaine [MM-R] group, n …

Predictors Of Nursing Students' Stress, Anxiety, And Depression During The Covid-19 Pandemic In A Hispanic-Serving University In South Texas: A Cross-Sectional Study, Maria I. Diaz, Eleftherios Gkioulekas, Nancy Nadeau

School of Mathematical & Statistical Sciences Faculty Publications

Background: In nursing education, there have been several studies on the impact of the COVID-19 pandemic on the ability of nursing students to cope while in nursing school.

Purpose statement: The goal of this study is to assess undergraduate nursing students' support mechanisms as predictors of stress, anxiety, and depression during the COVID-19 pandemic within a Hispanic-serving institution in South Texas.

Methods: Across-sectional design was used in this study. An online survey using self-reported questionnaires was used to gather data from an undergraduate nursing student cohort during the Fall 2021 semester. Linear regression was used to identify the predictors of …

"Some Level Of Skill For Life": Secondary Teacher Librarians Supporting Student Information Literacy Skill Transfer Beyond Secondary School, Kasey L. Garrison, Kay Oddone

Communications in Information Literacy

Students entering higher education are expected to transfer information literacy skills and knowledge developed through their primary schooling and sharpened in their secondary years. However, the constant evolution of the information landscape means the mastery of these skills presents challenges for students to develop and teachers to teach. Through interviews, this phenomenological study examines the perspectives and practices of 19 Australian secondary teacher librarians supporting student information literacy skill transfer in school and life contexts and considers important changes in the teaching of these skills. Findings suggest time and content overload are preventing integration across subjects and limiting students’ ability …

What Language Are We Speaking?: Marketing Information Literacy On University Library Websites, Aleksandar Golijanin

Communications in Information Literacy

This study investigates how Canadian university libraries communicate information literacy (IL) to non-library faculty members on faculty-facing web pages. A content analysis was conducted of websites from institutions affiliated with the Canadian Association of Research Libraries (n = 25) to identify trends in the terminology used to describe IL. The findings reveal that the term "information literacy" appears with varying frequency across website headings, subheadings and body text, while terms like “research skills” and “critical information use” may appear in its stead. University libraries may intentionally be employing these terms to enhance faculty engagement in response to the existing …

Visual Literacy Instruction At Scale: Developing Asynchronous Learning Objects For First-Year Art And Design Students, Jacqueline Huddle, Sarah Carter

Communications in Information Literacy

While learning modules are not new to academic librarianship, student-centered, asynchronous learning modules are an innovative approach not commonly considered within the academic librarianship literature. This article discusses the development and implementation of visual literacy asynchronous learning modules created by two librarians for a cohort of first-year studio art students. In creating these modules, the goal was to offer studio art students visual literacy instruction specific to their personal interests and future careers. Specifically, this article discusses the module design process and how student-centered learning can be incorporated into modules in order to offer deep learning opportunities.

Exploring Positional Knowledge: Using Theory To Teach Bias, Thomas C. Weeks, Melissa E. Johnson

Communications in Information Literacy

In this article, the authors explain how librarians can use positionality theory to understand how students produce value judgments around questions of bias, authority, and credibility. Librarians can help guide students to recognize the student’s own positionality when approaching issues of bias. Students are often instructed to choose credible sources for their research, which they often interpret as sources that avoid bias. Source evaluation tools and checklists, such as the CRAAP test and SIFT, also tell students to watch out for biased language. Unfortunately, many people, students and librarians alike, misunderstand bias and fail to recognize its significance in the …

June 2025 News Releases, University Of Montana--Missoula. Office Of University Relations

University of Montana News Releases, 1928, 1956-present

No abstract provided.

Utilizing Date Fruit Pomace As A Corrosion Green Inhibitor For Non Ferrous Alloys, Sardor Rustam Odilov

Theses

This thesis explores a novel green corrosion inhibitor derived from date fruit pomace extract (DFPE) for the protection of aluminum alloy 3003 in highly corrosive environments, specifically hydrochloric acid (HCl) and natural seawater. The central aim is to promote the sustainable reuse of agro-waste as an effective and eco-friendly alternative to conventional toxic inhibitors, aligning with environmental and industrial safety goals.

A comprehensive methodology was employed, including Soxhlet extraction (using both non-polar n-hexane and polar methanol-water solvents), rotary evaporation, and FTIR analysis to identify the active functional groups responsible for inhibition. Corrosion behavior was systematically evaluated using both mechanical (weight …

Numerical Methods For Approximating Line Integrals Over Implicitly Defined Curves, Raghd Alsaadawi

Theses

In this thesis, we develop and investigate a predictor-corrector method for the numerical tracing of implicitly defined curves. The study begins with the introduction of modified numerical integration techniques — specifically, the modified trapezoidal and modified midpoint rules — for evaluating the line integral of a vector field along an implicitly defined curve. Furthermore, we explore higher-order methods aimed at improving the accuracy of such integrals. Theoretical and numerical results, including asymptotic error expansions, are presented to support the analysis. In addition, several numerical experiments are carried out to illustrate the effectiveness and robustness of the proposed approaches.

Wavelet-Based Multi-Step Methods For Systems Of Differential Equations, Rashad Assad Hijji

Theses

Wavelets have been widely used in many areas of engineering and mathematics, including the development of multistep algorithms to solve initial value problems (IVPs) in the context of the Galerkin method using Daubechies' wavelets. The main scope of our work is to build a comprehensive framework for solving Systems of Differential equations using the compactly supported wavelets proposed by I. Daubechies. Wavelets are mathematical functions that decompose data into distinct frequency components, and each element is analyzed with a resolution that matches its scale. Compact support of Daubechies wavelets is key in allowing them to be computationally efficient for high-dimensional …

Electrospun Membranes From Bio-Renewable Poly (Ethylene Furanoate)/Poly (Ethylene Teraphthalate) (Pef/Pet) Blend For Emulsification Application, Aya Ismat Sayed

Theses

This thesis focuses on manufacturing electrospun fibrous membranes from a blend of poly (ethylene terephthalate) and poly (ethylene furanoate) and using in premix emulsification. Poly (ethylene furanoate), which is a 100% bio-renewable polymer being blended with synthetic poly (ethylene terephthalate) for membrane fabrication contributes towards sustainability in the production of food and pharmaceutical emulsions. The primary objective of this research is to optimize the fabrication conditions of poly (ethylene terephthalate)/poly (ethylene furanoate) porous membranes, characterize their properties, and evaluate their performance in emulsification. This study compares poly (ethylene terephthalate) / poly (ethylene furanoate) blend membranes with individual poly (ethylene terephthalate) …

Comparative Genotoxicological Analysis Of Occupational Pesticide Exposures: An Experimental Approach And Systematic Review, Moustafa Samy Sherif

Dissertations

This dissertation investigates the genotoxic and cytotoxic effects of pesticide exposure through three complementary research components: a systematic review of occupational pesticide exposure in Arab countries (AraSys), a systematic review on encapsulated versus conventional pesticide formulations (Encap-Sys), and experimental toxicological assessments of various pesticide formulations in human cell lines (Pyr-Ex). This experimental component includes cytotoxicity assays using propidium iodide and DNA damage assessments via alkaline comet assays in HL60 and HepG2 cell lines exposed to pyrethroid insecticides and glyphosate-based formulations.

The AraSys systematic review revealed a critical positive association between occupational pesticide exposure and DNA damage in agricultural workers in …

Experimental And Computational Study Of Slow Crack Growth Of High Density Polyethylene, Abdulla Fawzi Almomani

Dissertations

This dissertation investigates the slow crack growth (SCG) behavior of High-Density Polyethylene (HDPE) under various mechanical and environmental conditions. The study combines experimental analysis and computational modeling to enhance the understanding of SCG mechanisms in HDPE, particularly in pressurized pipes and under the exposure to hydrocarbons. A novel Crack Layer (CL) theory-based SCG model is developed and validated through experimental data, offering a predictive framework for HDPE failure assessment. The main objective of this dissertation is to quantify and model the viscoelastic-viscoplastic behavior of HDPE under monotonic and cyclic loading conditions while addressing SCG kinetics in structural applications. The study …

Design And Development Of Hip Implants For Longevity Through Integrating Advanced Groove Structures And Additive Manufacturing, Asarudheen Abdudeen

Dissertations

This doctoral research concerns the design and optimization of hip implants (HIs) to enhance performance, durability, and improve patient outcomes by addressing the key issues of wear, deformation, and stress distribution. Innovative surface groove designs have been introduced to both a solid and a hollow femoral head with the aim of reducing friction and wear. The addition of grooves, with both a hemispherical and rectangular cross-section, onto the femoral head reduced friction, as debris produced by the inner liner was trapped within the grooves, significantly reducing adhesive wear. A numerical simulation study compared the effects of surface modifications both grooves …

Multi-Point And Multi-Station Orbit Propagation For Non-Functional Drifting Geo Satellites, Hritik Mitra

Theses

Currently, there are thousands of man-made space objects that are orbiting the Earth. These satellites serve a host of essential purposes (scientific research, technical applications, services) and they are all required to remain within their mission parameters. Most critical for them is to maintain the orbital parameters that are specified to achieve a particular mission’s objectives. If a satellite deviates beyond a certain limit, there is not only a risk of mission failure but there is a major hazard for possible collisions with other objects such as active satellites, space debris and even natural objects in some cases. There is …

Investigation And Prediction Of Excessive Water Production In Bottom Water-Drive Naturally Fractured Reservoirs Using Machine And Deep Learning, Sami Abderraouf Belkhir

Theses

Naturally Fractured Reservoirs (NFRs) are characterized by dual-porosity and dual-permeability systems, posing significant challenges in managing water production due to highly conductive fracture networks that facilitate rapid water migration from bottom aquifers, often bypassing oil stored in the matrix, thus resulting in early water breakthrough and water channeling phenomena. The main objective of this thesis is to develop and validate deep learning and machine learning models to predict water production, water breakthrough time (tbt), and ultimate water cut (WCult) in NFRs, thereby enabling more effective reservoir management strategies. This work also aims to evaluate the sensitivity of water behavior to …

Experimental Evaluation Of Novel Nano Polymer Hybrid Enhanced Oil Recovery In Carbonate Reservoir, Altamish Ahmed Pakeer

Theses

Innovative enhanced oil recovery (EOR) strategies are needed to unlock additional reserves in heterogeneous, oil-wet carbonate reservoirs. This study evaluates hybrid nano-polymer flooding by integrating silica nanoparticles (SiO₂) and single-walled carbon nanotubes (CNT) with novel HPAM polymers (Sav10 and Sav10 VHM) to optimize wettability alteration, rheological parameters, and recovery mechanisms.

A comprehensive experimental approach was employed, where rheological tests assessed viscosity enhancement under varying shear conditions, and wettability alteration was quantified via contact angle measurements using HPAM-SiO₂, HPAM-CNT, Sav10 VHM-SiO₂, and Sav10 VHM-CNT systems. Core floods were performed in three consecutive phases; waterflooding (baseline), standalone nanoparticle flooding, and hybrid nano-polymer …

Measurement And Improvement Of Photon Identification Efficiencies Using Machine Learning Techniques In The Atlas Detector At The Lhc, Abdulla Esam Mahboub

Theses

Photons play a crucial role in numerous analyses at the Large Hadron Collider (LHC), particularly in studies like the Higgs boson decay to two photons. Precise photon identification is essential for enhancing the sensitivity and accuracy of such measurements. This thesis focuses on the development of a machine learning (ML)-based photon identification algorithm to improve the photon identification efficiency within the ATLAS detector, using a Deep Neural Network (DNN) approach. The primary goal is to boost photon identification efficiency by using advanced neural network techniques. Traditional photon identification relies on cuts applied to shower shape variables, which can limit the …

Exploring The Quality Of Professional Development In Addressing Challenges With Behavior Management Of Special Needs Students In Inclusive Classrooms: An Instrumental Case Study, Reem Hussein Abuwatfa

Theses

Inclusive education has become a major educational priority globally and within the United Arab Emirates (UAE), driven by policies promoting the full participation of students with special educational needs (SEN) in inclusive classrooms. This study explores how elementary-level general education teachers perceive the quality of professional development (PD) in addressing their challenges with behavior management of students with SEN in inclusive classrooms. A qualitative case study approach was used, utilizing semi-structured interviews. The findings indicated that teachers face challenges from the behavioral issues of SEN students in inclusive classrooms, affecting both typical peers and teachers. Moreover, teachers had mixed perceptions …

Associations Between Vitamin D Deficiency And Sociodemographic Factors, Lifestyle Behaviors, And Metabolic Conditions: A Cross-Sectional Study From The Hnnhs In Greece, Asmae Mohamad Sadek

Theses

Vitamin D deficiency (VDD) is a widespread global health concern associated with various sociodemographic, lifestyle, dietary, and metabolic factors. While previous studies examined VDD in Greece, few provided a comprehensive analysis across multiple determinants using representative national data. This study aimed to assess the prevalence and predictors of VDD among Greek adults and to examine its associations with sociodemographic, dietary, behavioral, and metabolic variables using data from the Hellenic National Nutrition and Health Survey (HNNHS). A cross-sectional analysis was conducted among 978 adults (≥19 years) from the HNNHS. Serum 25-hydroxyvitamin D [25(OH)D] concentrations < 20 ng/mL were defined as deficient and ≥20 ng/mL as normal. The median age of participants was 40.2 years, and 62.0% were female. The overall prevalence of VDD was 46.0%, with the highest rate observed among adults aged ≥60 years (62.2%). VDD was significantly associated with older age (p < 0.001), retirement status (62.9% among retired; p < 0.001), low and sedentary physical activity (32.7% and 32.6% vs. 50.8% among highly active; p < 0.001), higher HDL (median 52.0 vs. 49.0 mg/dL among VDD vs Normal; p = 0.001), elevated serum calcium (median 9.4 vs. 9.2 mg/dL among VDD vs Normal; p = 0.020), and lower insulin levels (median 7.5 vs. 8.0 μIU/mL among VDD vs Normal; p = 0.044). Dietary intake (total energy and macronutrients) and body composition were not significantly associated with VDD. In the multivariate model, significant independent predictors of VDD included being retired (AOR = 2.383; 95% CI: 1.596–3.558; p < 0.001), having higher serum calcium levels (AOR = 1.563; 95% CI: 1.078–2.266; p = 0.019), and higher HDL levels (AOR = 1.016; 95% CI: 1.005–1.027; p = 0.001). Physical activity level was also a key determinant; participants classified as sedentary or low active had significantly higher odds of deficiency compared to highly active individuals (AOR = 0.468; 95% CI: 0.319–0.690; p < 0.001). This counterintuitive result may be influenced by factors such as increased indoor physical activity, and warrants further investigation. Dietary intake and body composition were not significantly associated with VDD. The findings underscore the importance of incorporating sociodemographic and lifestyle factors into prevention strategies. Interventions should particularly focus on older adults, retired individuals, even if they have higher HDL and calcium levels, and are physically active.

Data-Driven Machine Learning Applications For Predictive Modeling Of Petrochemical And Ecofriendly Systems, Noora Saleh Al Mansoori

Theses

Traditional experimental approaches in industrial processes, such as Fourier Transform Infrared Spectroscopy (FTIR) spectroscopy, thermogravimetric analysis (TGA), and well-drilling operations, are often constrained by time, cost, and operational limitations. This research explores the application of data-driven Machine Learning (ML)-based predictive modeling to improve efficiency and reduce dependency on resource-intensive experimentation. The study develops ML models for three distinct processes: FTIR intensity prediction of bitumen thermal cracking products, thermal degradation of Medium-Density Fibreboard (MDF) using TGA data, and Rate of Penetration (ROP) prediction in petrochemical industry. Six algorithms: Linear Regression (LinReg), Partial Least Squares Regression (PLSR), Support Vector Regression (SVR), Gradient …

Design Of A Deployable Rolled Antenna System For Satellite Applications, Ashwaq Abdulla Alkaabi

Theses

This project presents the development of a deployable Synthetic Aperture Radar (SAR) antenna designed for a 16U CubeSat platform. The primary challenge in SAR satellite design lies in the need for large antennas to achieve high-resolution imaging, which traditionally results in increased satellite size and cost. To address this, the proposed solution employs a scalable 4 × 21 patch antenna array operating at 1.275 GHz, fabricated on a flexible Polyimide-based Printed Circuit Board (PCB). This flexible PCB allows the antenna to safely roll during deployment, avoiding damage and facilitating compact storage. However, Polyimide poses challenges due to higher losses and …

Advancing Academic Advising With Knowledge Graphs: Integrating Machine Learning And Llms For Personalized Course Planning, Sara Alshamsi

Theses

Academic advising plays a critical role in helping students make informed decisions, improve academic performance, and successfully navigate their university journey. However, with increasing university enrollment, traditional advising methods often struggle to scale, leading to student frustration and overburdened advisors. Additionally, designing course offerings that match student demand is a complex and error-prone process involving multiple stakeholders. To address these challenges, this thesis proposes an automated, data-driven system for generating personalized academic plans for students. The primary aim of this thesis is to develop a system that reduces students’ dependency on advisors while simultaneously providing accurate estimates of course demand …

Fda Approves Lecanemab-Irmb Maintenance Dosing For Early Alzheimer’S Disease Treatment, Jordyn Linfield, Giang Nguyen, Ashley Jacob, Andrew Johnson, Maria Nguyen, Sara Ha, Joshua Honaker, Samantha Mccord, Kelly Kroustos

Pharmacy and Wellness Review

Alzheimer’s disease (AD) is the most prevalent neurodegenerative disorder and is associated with progressive and irreversible cognitive decline that begins with memory lapses leading to physical and functional impairment. The conventional therapies that have been used for the treatment from Alzheimer's Disease include acetylcholinesterase inhibitors and memantine, but additional therapy options are being developed. Lecanemab, brand name Lequembi, is currently a Food and Drug Administration (FDA) approved humanized monoclonal antibody for the treatment of Alzheimer’s disease and indicated for mild cognitive impairment (MCI) or mild dementia. While there is impactful aid for treatment, lecanemab has three significant adverse reactions, which …

Contributors, Michaela Velleno

.RAW Journal of Art and Design

No abstract provided.

'The Heart Is A Lonely Hunter' & 'She Burns Quietly', Noir Campbell, Kiana Lee

.RAW Journal of Art and Design

No abstract provided.