Digital Commons Network^™

Infectious Diseases Fellowship Training In Caring For People Who Use Drugs: A National Assessment Of An Emerging Training Need, Shilpa Vasishta, Raagini Jawa, Sarah Kurz, Nathanial S Nolan

2020-Current year OA Pubs

BACKGROUND: Infectious complications of substance use are increasingly encountered in infectious diseases (ID) clinical care. In this study, we surveyed ID fellows in the United States to assess training experiences, clinical practices, and perspectives in caring for people who use drugs (PWUD).

METHODS: An 18-item survey was distributed to ID fellows via email and social media platforms. Four focus groups were conducted with a subset of participants to elucidate themes in fellowship experiences and training needs.

RESULTS: Among 196 survey respondents (estimated 24% response rate), all reported caring for PWUD in ID fellowship. Forty-nine percent received some formal fellowship-based didactics …

Dominantly Inherited Muscle Disorders: Understanding Their Complexity And Exploring Therapeutic Approaches, Andrew R Findlay

2020-Current year OA Pubs

Treatments for disabling and life-threatening hereditary muscle disorders are finally close to becoming a reality. Research has thus far focused primarily on recessive forms of muscle disease. The gene replacement strategies that are commonly employed for recessive, loss-of-function disorders are not readily translatable to most dominant myopathies owing to the presence of a normal chromosome in each nucleus, hindering the development of novel treatments for these dominant disorders. This is largely due to their complex, heterogeneous disease mechanisms that require unique therapeutic approaches. However, as viral and RNA interference-based therapies enter clinical use, key tools are now in place to …

Equipping Future Physicians With Artificial Intelligence Competencies Through Student Associations, Spencer Hopson, Carson Mildon, Kyle Hassard, Paul Urie, Dennis Della Corte

Faculty Publications

Advances in artificial intelligence (AI) in the medical sector necessitate the development of AI literacy among future physicians. This article explores the pioneering efforts of the AI in Medicine Association (AIM) at Brigham Young University, which offers a framework for undergraduate pre-medical students to gain hands-on experience, receive principled education, explore ethical considerations, and learn appraisal of AI models. By supplementing formal, university-organized pre-medical education with a student-led, faculty-supported introduction to AI through an extracurricular academic association, AIM alleviates apprehensions regarding AI in medicine early and empowers students preparing for medical school to navigate the evolving landscape of AI in …

New Dimensions In Dining: A Review Of The Gastronomic Evolution Of 3d Printed Foods From 2013-2024 And Beyond., Roisin Burke

Articles

The development of 3D food printing is evolving, particularly in high-end restaurants, since 2013 when the first complex 3D printed chocolate concept for gastronomy was developed. In 2014, several 3D food printers were launched specifically to suit requirements from the culinary sector. These technology companies often partnered with renowned chefs who developed recipes, showcased the printers and served their food products in their restaurants. Chefs often worked in teams with e.g. food designers, technologists, engineers, and nutritionists to create dishes for events and for their own restaurant customers. From Michelin starred restaurants, pop-up events to pizzerias, 3D food printers were …

Gradualreality: Enhancing Physical Object Interaction In Virtual Reality Via Interaction State-Aware Blending, Hyuna Seo, Juheon Yi, Rajesh Krishna Balan, Youngki Lee

Research Collection School Of Computing and Information Systems

We present GradualReality, a novel interface enabling a Cross Reality experience that includes gradual interaction with physical objects in a virtual environment and supports both presence and usability. Daily Cross Reality interaction is challenging as the user’s physical object interaction state is continuously changing over time, causing their attention to frequently shift between the virtual and physical worlds. As such, presence in the virtual environment and seamless usability for interacting with physical objects should be maintained at a high level. To address this issue, we present an Interaction State-Aware Blending approach that (i) balances immersion and interaction capability and (ii) …

Investigating Gender Bias In Large Language Models Through Text Generation, Shweta Soundararajan, Sarah Jane Delany

Conference papers

Large Language Models (LLMs) have swiftly become essential tools across diverse text generation applications. However, LLMs also raise significant ethical and societal concerns, particularly regarding potential gender biases in the text they produce. This study investigates the presence of gender bias in four LLMs: ChatGPT 3.5, ChatGPT 4, Llama 2 7B, and Llama 2 13B. By generating a gendered language dataset using these LLMs, focusing on sentences about men and women, we analyze the extent of gender bias in their outputs. Our evaluation is two-fold: we use the generated dataset to train a gender stereotype detection task and measure gender …

Consequences Of How Third Sector Organisations Are Commissioned In The Nhs And Local Authorities In England: A Mixed-Methods Study, Rod Sheaff, Angela Ellis Paine, Mark Exworthy, Alex Gibson, Joanna Stuart, Véronique Jochum, Pauline Allen, Jonathan Clark, Russell Mannion, Sheena Asthana

Peninsula Medical School

Background: As a matter of policy, voluntary, community and social enterprises contribute substantially to the English health and care system. Few studies explain how the National Health Service and local authorities commission them, what outputs result, what contexts influence these outcomes and what differentiates this kind of commissioning. Objectives: To explain how voluntary, community and social enterprises are commissioned, the consequences, what barriers both parties face and what absorptive capacities they need. Design: Observational mixed-methods realist analysis: exploratory scoping, cross-sectional analysis of National Health Service Clinical Commissioning Group spending on voluntary, community and social enterprises, systematic comparison of case studies, …

Automatic Multi-Contrast 2d Paraspinal Muscle Segmentation For Assessment Of Sarcopenia And Fatty Infiltration, Juan Pablo Esparza

Electronic Theses and Dissertations Archive

Cirrhosis is the final stage of liver disease requiring liver transplantation as treatment. In the past, models based on clinical laboratory values would determine the eligibility of liver transplant candidates. However, several patients can still suffer from liver transplantation complications leading to death. Sarcopenia, the loss of muscle mass, and frailty, the loss of muscle function, are common cirrhosis complications, but recently muscle area estimated at the third lumbar level has been studied as a prognostic to predict liver transplant mortality. Muscle fatty infiltration has been hypothesized to be a descriptor of muscle quality. However, a major bottleneck for implementing …

التفريد القضائي للعقوبة في القانون الجزائي الاماراتي, Hamad Abdulla Alebri

Theses

/="/">

Judicial Individualization of Punishment in UAE Criminal Law

This study addresses the topic of judicial individualization of punishment in UAE criminal legislation through a descriptive-analytical approach. In the preliminary section, the study defines punishment, which is imposed as a consequence of a crime that has already occurred, and precautionary measures aimed at confronting criminal danger to prevent future harm that could affect society. The characteristics and purposes of both punishment and precautionary measures are detailed, as they cannot be applied unless those implementing them understand their goals and intended outcomes.
/="/">
/="/">The study examines, in the first chapter, …

Soprano: Macitentan In Patients With Pulmonary Hypertension Following Left Ventricular Assist Device Implantation, Robert P Frantz, Gregory Ewald, Joel D Schilling, Et Al.

2020-Current year OA Pubs

Macitentan is a dual endothelin receptor antagonist (ERA) approved for treating pulmonary arterial hypertension (PAH). SOPRANO evaluated the efficacy and safety of macitentan versus placebo in pulmonary hypertension (PH) patients after left ventricular assist device (LVAD) implantation. SOPRANO was a phase 2, multicenter, double-blind, randomized, placebo-controlled, parallel-group study. Patients with an LVAD implanted within the prior 90 days who had persistent PH (i.e., mean pulmonary arterial pressure ≥25 mmHg, pulmonary artery wedge pressure [PAWP] ≤18 mmHg, and pulmonary vascular resistance [PVR] >3 Wood units [WU]) were randomized (1:1) to macitentan 10 mg or placebo once daily for 12 weeks. The …

Neutrosophic Approach To Water Quality Assessment: A Case Study Of Gomati River, The Largest River In Tripura, India, Ajoy Kanti Das, Nandini Gupta, Carlos Granados, Rakhal Das, Suman Das

Neutrosophic Systems with Applications

This study addresses the complexity of assessing river water quality, a multifaceted process influenced by numerous water quality parameters (WQPs) characterized by inherent uncertainties and diverse judgment information from decision-makers. These uncertainties and diverse judgment information can be effectively represented and simulated using Neutrosophic sets. In this study, we propose an effective water pollution rating system, the Neutrosophic water quality index (NWQI), to derive a water pollution score (NWQI-score) for rating water pollution levels. We demonstrate the application of our methodology through an assessment of water quality indices for rating pollution in the Gomati River, the largest river in Tripura, …

Unveiling Similarities In The Code Of Life: A Detailed Exploration Of Dna Sequence Matching Algorithm, Mahmoud Y. Shams, Romany M. Farag, Dalia A. Aldawody, Huda E. Khalid, Ahmed K. Essa, Hazem M. El-Bakry, A. A. Salama

Neutrosophic Systems with Applications

Identifying similar DNA sequences is crucial in various biological research endeavors. This paper delves into the intricate workings of a specific algorithm designed for this purpose. We provide a systematic explanation, exploring how the algorithm handles user input, reads stored DNA sequences, utilizes the Word2Vec model for vector representation, and calculates sequence similarity using diverse metrics like Cosine Similarity and Neutrosophic Distance. Additionally, the paper explores the incorporation of neutrosophic values to account for uncertainty in the comparisons. Finally, we discuss the extraction of results, including matched sequences, similarity scores, and accuracy measures. This in-depth exploration provides a clear understanding …

A Study On The Polarity Of Generalized Neutrosophic Ideals In Bck-Algebra, Bavanari Satyanarayana, Shake Baji

Neutrosophic Systems with Applications

In this study, we apply k-polar generalized neutrosophic logic to the ideal of BCK-algebra and consequently introduce the notion of a k-polar generalized neutrosophic ideal in BCK-algebra with an example. We provide conditions for a k-polar generalized neutrosophic set to be a k-polar generalized neutrosophic ideal. We prove that every k-polar generalized neutrosophic ideal is a k-polar generalized neutrosophic subalgebra, but the converse is not true, which can be illustrated with an example. Furthermore, we prove that a k-polar generalized neutrosophic set is a k-polar generalized neutrosophic ideal if and only if its corresponding cut sets are ideals of the …

An Approach To Multi-Attribute Decision-Making Based On Single-Valued Neutrosophic Hesitant Fuzzy Aczel-Alsina Aggregation Operator, Raiha Imran, Kifayat Ullah, Zeeshan Ali, Maria Akram

Neutrosophic Systems with Applications

A single-valued Neutrosophic hesitant fuzzy set (SVNHFS) is a combination of a single-valued neutrosophic set (SVNS) and hesitant fuzzy set (HFS) that has been developed to address insufficient, unreliable, and vague environments in which each element has several possible options determined by the truthiness, indeterminacy and falsity value. By considering this, in this paper, we have proposed the Aczel-Alsina aggregation operator (AAAO) for SVNHFS, which is more flexible t-norm and t-conorm than the other and due to the flexible nature of parameters to solve Multi-Attribute decision making (MADM) problems. Further, the score function, accuracy function, and certainty function of SVNHFS …

Evaluation Of Renewable Energy Sources For A Sustainable Future: A Multi-Criteria Decision-Making Approach, Mai Mohamed, Asmaa Elsayed

Neutrosophic Systems with Applications

The urgent global challenges of climate change, energy security, and environmental degradation highlight the need for sustainable energy solutions. Renewable energy sources (RES) present a viable pathway towards sustainability by mitigating greenhouse gas emissions, reducing reliance on fossil fuels, and fostering economic resilience. Purpose: The purpose of this paper is to propose an advanced Multi-Criteria Decision-Making (MCDM) approach to evaluate various RES by integrating environmental, economic, technological, social acceptance, and resource availability criteria, to identify the most suitable RES for sustainable energy solutions. Methodology: The study employs a hybrid method combining Type-2 Neutrosophic Numbers (T2NN) with LOPCOW (Logarithmic Percentage Change …

Fabrication And Evaluation Of Multicomponent Biomimetic Scaffolds For Bone Tissue Engineering, Mozan Osman Hassan

Dissertations

Bones have an inherent ability to remodel, but critical-size defects can hinder regeneration, leading to delayed healing or non-union fractures. Traditional bone grafts have limitations, such as donor site morbidity and immune rejection, driving the need for synthetic bone substitutes. Bone tissue engineering (BTE) addresses this by developing biomimetic scaffolds that replicate bone properties. This research aimed to fabricate composite scaffolds from strontium (Sr) and zinc (Zn) doped nano-hydroxyapatite (nHAp), collagen, and poly(lactide-co-glycolide) (PLGA). Different doping percentages of Sr/Zn (1%, 2.5%, 4%) were used to fabricate the scaffolds using supercritical CO2 (ScCO2) and electrospinning techniques. Scaffolds were then analyzed for …

Spatial Characterisation And Drivers Of Catch And Effort In Highly Specialised Recreational Pelagic Fisheries, Shannon J. Burchert, Ebenezer Afrifa-Yamoah, Karina L. Ryan, Ute Mueller, Glenn A. Hyndes

Research outputs 2022 to 2026

Large pelagic finfish are highly mobile, distributed across broad geographical scales, and often targeted by both commercial and recreational sectors. Fishing effort in these fisheries is variable due to seasonal patterns in fish behaviour and accessibility of fishing locations. Similarly, fisher behaviour and access are likely to differ within the recreational sector, between private boat-based fishing and charter (or for hire) fishing. Here, we compare spatio-temporal patterns in catch per unit effort (CPUE), effort (boat days) and catch (total catch per fishing party) for private boat-based and charter fishing, and identify environmental variables that may influence those patterns, for two …

Sub-Surface Geospatial Intelligence In Carbon Capture, Utilization And Storage: A Machine Learning Approach For Offshore Storage Site Selection, Mehdi Nassabeh, Zhenjiang You, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

This study introduces an innovative data-driven and machine-learning framework designed to accurately predict site scores in the site screening study for specific offshore CO2 storage sites. The framework seamlessly integrates diverse sub-surface geospatial data sources with human aided expert-weighted criteria, thereby providing a high-resolution screening tool. Tailored to accommodate varying data accessibility and the significance of criteria, this approach considers both technical and non-technical factors. Its purpose is to facilitate the identification of priority locations for projects associated with Carbon Capture, Utilization, and Storage (CCUS). Through aggregating and analyzing geospatial datasets, the study employs machine learning algorithms and an expert-weighted …

Performance Determinants And Evidence-Based Practice In Track Cycling: A Survey Of Coaches, Practitioners, And Athletes, Antony M.J. Stadnyk, Franco M. Impellizzeri, Jamie Stanley, Paolo Menaspà, Katie M. Slattery

Research outputs 2022 to 2026

Objectives: This study examined how track cycling coaches, practitioners, and athletes: develop knowledge and practices; value performance areas; and, implement research into practice. Design: Cross-sectional survey. Methods: An online REDCap survey of track cycling coaches, practitioners, and athletes was conducted involving questions related to demographics, performance area importance, knowledge acquisition and application, research relevance, and research direction. Results: A total of 159 responses were received from coaches (n = 55), practitioners (n = 29), and athletes (n = 75). Participants' highest track cycling competition level involvement ranged from local/regional (12.7%) to Olympic/Paralympic (39.9%). Respondents primarily develop practices by observing ‘the …

Sequential Investment Decisions For Mining Projects Using Compound Multiple Volatility Real Options Approach, Atul Chandra, Peter R. Hartley

Research outputs 2022 to 2026

Managers evaluating investment decisions in mining projects have reported using the net present value approach (NPV). However, NPV has the drawback of collapsing variations from uncertainties in future project cash flows into a fixed expected project value today. Ignoring future uncertainties and contingencies can lead managers to make incorrect up-front binary decisions, such as investing in or abandoning the project now. The real options analysis approach (ROA) instead captures variations from uncertainties as volatilities in project value and allows flexibility in investment decisions to be contingent on information as it is revealed. Managers we consulted agreed that ROA is superior …

Burden Of Disease Attributable To High Body Mass Index: An Analysis Of Data From The Global Burden Of Disease Study 2021, Xiao Dong Zhou, Qin Fen Chen, Wah Yang, Mauricio Zuluaga, Giovanni Targher, Christopher D. Byrne, Luca Valenti, Fei Luo, Christos S. Katsouras, Omar Thaher, Anoop Misra, Karim Ataya, Rodolfo J. Oviedo, Alice Pik-Shan Kong, Khalid Alswat, Amedeo Lonardo, Yu Jun Wong, Adam Abu-Abeid, Hazem Al Momani, Arshad Ali, Gabriel Alejandro Molina, Olivia Szepietowski, Nozim Adxamovich Jumaev, Mehmet Celal Kızılkaya, Octavio Viveiros, Carlos Jesus Toro-Huamanchumo

Research outputs 2022 to 2026

Background: Obesity represents a major global health challenge with important clinical implications. Despite its recognized importance, the global disease burden attributable to high body mass index (BMI) remains less well understood. Methods: We systematically analyzed global deaths and disability-adjusted life years (DALYs) attributable to high BMI using the methodology and analytical approaches of the Global Burden of Disease Study (GBD) 2021. High BMI was defined as a BMI over 25 kg/m2 for individuals aged ≥20 years. The Socio-Demographic Index (SDI) was used as a composite measure to assess the level of socio-economic development across different regions. Subgroup analyses considered age, …

Conceptual Considerations For Understanding Resilience In Healthcare Students, Claire Donnellan, Deepthi Chakkittakandy, Christina Lydon

Research outputs 2022 to 2026

Aims: Increasing attention has been given to the concept resilience in the context of healthcare especially during and post the COVID pandemic. Much of the inquiry and evidence reported has focused on promoting or enhancing resilience in healthcare for improving the quality of care and reducing medical negligence. This discursive paper aims to highlight how resilience is conceptualised and identify any potential limitations or gaps in the context of healthcare students, acknowledging considerations for further development and research into this topic. Design and Methods: This discursive discussion draws on relevant theoretical underpinnings from the fields of adjustment and coping psychology, …

Revising A Right To Food Road Map—Perspectives Of Australian Key Informants, Rebecca Lindberg, Vivien Yii, Elizabeth Millen, Stephanie Godrich

Research outputs 2022 to 2026

Objective: In Australia, an estimated 1 in 10 households experiences food insecurity. The objective of this study was to devise a visual synthesis to summarise the activities, processes and principles that support the right to food for everyone in Australia. Methods: Semi-structured key informant interviews (n=30) were conducted during 2019–20. Content analysis synthesised perspectives and assisted co-authors in revising an initial draft (shared during the interview) to finalise the road map through semantic realist data analysis and re-design. Results: The six components of the right to food road map summarise the actions, processes, and principles to address the human right …

High Mechanical Performance Of Lattice Structures Fabricated By Additive Manufacturing, Yuhua Li, Deyu Jiang, Rong Zhao, Xin Wang, Liqiang Wang, Lai Chang Zhang

Research outputs 2022 to 2026

Lattice structures show advantages in mechanical properties and energy absorption efficiency owing to their lightweight, high strength and adjustable geometry. This article reviews lattice structure classification, design and applications, especially those based on additive manufacturing (AM) technology. This article first introduces the basic concepts and classification of lattice structures, including the classification based on topological shapes, such as strut, surface, shell, hollow-strut, and so on, and the classification based on the deformation mechanism. Then, the design methods of lattice structure are analyzed in detail, including the design based on basic unit, mathematical algorithm and gradient structure. Next, the effects of …

Adherence To A Healthful Plant-Based Diet And Risk Of Mortality Among Individuals With Chronic Kidney Disease: A Prospective Cohort Study, Alysha S. Thompson, Martina Gaggl, Nicola P. Bondonno, Amy Jennings, Joshua K. O'Neill, Claire Hill, Nena Karavasiloglou, Sabine Rohrmann, Aedín Cassidy, Tilman Kühn

Research outputs 2022 to 2026

Background: Plant-rich dietary patterns may protect against negative health outcomes among individuals with chronic kidney disease (CKD), although aspects of plant-based diet quality have not been studied. This study aimed to examine associations between healthful and unhealthful plant-based dietary patterns with risk of all-cause mortality among CKD patients for the first time.

Methods: This prospective analysis included 4807 UK Biobank participants with CKD at baseline. We examined associations of adherence to both the healthful plant-based diet index (hPDI) and unhealthful plant-based diet index (uPDI), calculated from repeated 24-h dietary assessments, with risk of all-cause mortality using multivariable Cox proportional hazard …

The Role Of Grandparents In Facilitating Children’S Physical Activity, Michelle I. Jongenelis, Timothy Budden, Hayley Christian, David A. Coall, Ben Jackson, Andrea Nathan, Emma Glassenbury

Research outputs 2022 to 2026

Background: Research suggests there is considerable opportunity to improve children’s movement behaviors while they are being cared for by their grandparents. An understanding of the extent to which grandparent practices facilitate children’s engagement in physical activity is critical to the development of health interventions targeting grandparent caregivers. This study examined the activity-related beliefs and practices of grandparents and their association with grandchildren’s engagement in various movement behaviors while in grandparental care. Methods: Australian grandparents (N = 1190; 60% women) who provided regular care to a grandchild aged 3–14 years were recruited via a web panel provider to complete an online …

Fostering Physical Activity Motivation At Substance Use Disorder Treatment Facilities: A Qualitative Study Grounded In Self-Determination Theory, Sascha Thal, Chloe Graham, Nikos Ntoumanis, Bronwyn Myers, Stephen Bright, Jocelyn Jones, Eleanor Quested

Research outputs 2022 to 2026

Background and aims: Studies have found inconclusive results for the effects of physical activity (PA) interventions on substance use, mental health, and physiological health of people experiencing substance use disorders (SUDs). To improve PA interventions for individuals with SUDs, a deeper understanding of the underlying motivational processes is imperative. This study employs self-determination theory as a framework to explore factors impacting PA motivation in SUD treatment contexts. Methods: A qualitative research design utilising semi-structured interviews explored the experiences and perspectives of five people with lived or living experience of SUD treatment and five stakeholders within SUD treatment facilities across Western …

Macronutrients In Human Milk And Early Childhood Growth—Is Protein The Main Driver?, Jie Ma, Debra J. Palmer, Ching Tat Lai, Susan L. Prescott, Nina D’Vaz, Philip Vlaskovsky, Lisa F. Stinson, Zoya Gridneva, Donna T. Geddes

Research outputs 2022 to 2026

Background: Infant growth trajectories reflect current health status and may predict future obesity and metabolic diseases. Human milk is tailored to support optimal infant growth. However, nutrient intake rather than milk composition more accurately predicts growth outcomes. Although the role of protein leverage in infant growth is unclear, protein intake is important for early infancy growth.

Materials and methods: This study of exclusively breastfeeding mothers with allergies (n = 161) from the Infant Fish Oil Supplementation Study assessed relationships between intake of human milk macronutrients and infant growth. Human milk fat, protein and lactose concentrations were measured at 3 months …

Redefining Boundaries In Innovation And Knowledge Domains: Investigating The Impact Of Generative Artificial Intelligence On Copyright And Intellectual Property Rights, Adil S. Al-Busaidi, Raghu Raman, Laurie Hughes, Mousa Ahmed Albashrawi, Tegwen Malik, Yogesh K. Dwivedi, Thuraiya Al- Alawi, Mohammed Alrizeiqi, Gareth Davies, Mark Fenwick, Parul Gupta, Shashikala Gurpur, Apeksha Hooda, Paulius Jurcys, Daryl Lim, Nicola Lucchi, Tanvi Misra, Ramakrishnan Raman, Anuragini Shirish, Paul Walton

Research outputs 2022 to 2026

The rapid integration of generative AI (GenAI) into industries and society has prompted a re-evaluation of copyright and intellectual property rights (IPR) frameworks. GenAI's ability to produce original content using data from human-created sources raises critical ethical and legal concerns. Current copyright and IPR frameworks, designed around human authorship, are insufficient to address these challenges. This study, using a multi-perspective approach, explores GenAI's disruptive potential in replicating or transforming copyrighted materials, challenging established IPR norms. Findings highlight gaps in legislation and the opacity of GenAI platforms. To address these issues, this study presents a Dynamic Ethical Framework linked to a …

Green Utopias: A Possible Green Ground For Performing Arts Training, Renee Newman, Alexa Taylor, Luke Cowling, Jason Garbenis, Tom Heath, Fleur Kingsland, Vahri Mckenzie, Jeremy Neideck, Richard Reddrop, Simon Stewart

Research outputs 2022 to 2026

No abstract provided.