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Articles 265381 - 265410 of 5167555
Full-Text Articles in Entire DC Network
W449-016p-01 - Athletic Department: Esports: Various Records, Athletic Department
W449-016p-01 - Athletic Department: Esports: Various Records, Athletic Department
University Archives Finding Aids
No abstract provided.
W466-001a-01 - School Of Graduate, Continuing, And Online Education: General Office Records: Correspondence And Memoranda, School Of Graduate, Continuing, And Online Education
W466-001a-01 - School Of Graduate, Continuing, And Online Education: General Office Records: Correspondence And Memoranda, School Of Graduate, Continuing, And Online Education
University Archives Finding Aids
No abstract provided.
W448-002b-04 - College Of Visual And Performing Arts: Theatre And Dance:, College Of Visual And Performing Arts
W448-002b-04 - College Of Visual And Performing Arts: Theatre And Dance:, College Of Visual And Performing Arts
University Archives Finding Aids
No abstract provided.
W448-002b-03 - College Of Visual And Performing Arts: Theatre And Dance: Theater Season Records, College Of Visual And Performing Arts
W448-002b-03 - College Of Visual And Performing Arts: Theatre And Dance: Theater Season Records, College Of Visual And Performing Arts
University Archives Finding Aids
No abstract provided.
W456-002b-02 - Division Of University Advancement: General Office Records: Pamphlets And Brochures, Division Of University Advancement
W456-002b-02 - Division Of University Advancement: General Office Records: Pamphlets And Brochures, Division Of University Advancement
University Archives Finding Aids
No abstract provided.
W408-006f-01 - Business Office: Post Office- Correspondence And Memoranda, Business Office
W408-006f-01 - Business Office: Post Office- Correspondence And Memoranda, Business Office
University Archives Finding Aids
No abstract provided.
Epistolary Technologies Of Separation And Archives Of Emotion, James Daybell
Epistolary Technologies Of Separation And Archives Of Emotion, James Daybell
School of Law, Humanities and Social Sciences
No abstract provided.
Transatlantic Solidarity In The Shadow Of The Russian–Ukrainian War: A Neorealist Explanation, Lorenzo Cladi
Transatlantic Solidarity In The Shadow Of The Russian–Ukrainian War: A Neorealist Explanation, Lorenzo Cladi
School of Law, Humanities and Social Sciences
The threat posed by Russia, which was exposed most clearly following the invasion of Ukraine in February 2022, provided the impetus to strengthen solidarity among the transatlantic allies. Notable consequences included a renewed sense of purpose for NATO and the strengthening of the EU’s resolve in responding to a crisis in its backyard and a willingness by many European states to do more to contribute to defence. Whilst there is apparent unity of intent in supporting Ukraine in the long term, this article argues that solidarity rests upon a familiar working pattern in transatlantic relations. This can be elucidated most …
Fixing Fixed Term Recall An Insights Paper: February 2025, Miranda Shanks, Katie Mcbride, Zoë James
Fixing Fixed Term Recall An Insights Paper: February 2025, Miranda Shanks, Katie Mcbride, Zoë James
School of Law, Humanities and Social Sciences
This Insights Paper seeks to provide a comprehensive understanding of the application of fixed term recall (FTR) within the criminal justice system (CJS) and their impact on the rehabilitation and resettlement journeys of individuals on licence. The paper explores how FTR are currently being applied, examines the experiences of those subject to them, and identifies strategies to reduce the use of FTR while improving their effectiveness in managing non-compliance of low-risk individuals.
Multi-Modal Framework For Autism Severity Assessment Using Spatio-Temporal Graph Transformers, Kush Gupta, Amir Aly, Emmanuel Ifeachor
Multi-Modal Framework For Autism Severity Assessment Using Spatio-Temporal Graph Transformers, Kush Gupta, Amir Aly, Emmanuel Ifeachor
School of Engineering, Computing and Mathematics
Diagnosing Autism Spectrum Disorder (ASD) remains challenging, as it often relies on subjective evaluations and traditional methods using fMRI data. This paper proposes an innovative multi-modal framework that leverages spatiotemporal graph transformers to assess ASD severity using skeletal and optical flow data from the MMASD dataset. Our approach captures movement synchronization between children with ASD and therapists during play therapy interventions. The framework integrates a spatial encoder, a temporal transformer, and an I3D network for comprehensive motion analysis. Through this multi-modal approach, we aim to deliver reliable ASD severity scores, enhancing diagnostic accuracy and offering a scalable, robust alternative to …
Digital Passivity-Based Control Of Underactuated Mechanical Systems, Mattia Mattioni, Pablo Borja
Digital Passivity-Based Control Of Underactuated Mechanical Systems, Mattia Mattioni, Pablo Borja
School of Engineering, Computing and Mathematics
Most sensors and controllers are discrete-time devices, which may have a detrimental impact on the performance of continuous-time control laws, even leading to unstable behaviors. This paper proposes a sampled-data passivity-based control approach that solves the regulation problem for discrete-time underactuated mechanical systems. Moreover, in contrast to other discrete-time controllers for these systems, the proposed control design method does not require the solution of partial differential equations. To illustrate the approach, we consider three case studies with computational details and simulations.
Prediction Of Compressive Strength Of Fly Ash-Recycled Mortar Based On Grey Wolf Optimizer–Backpropagation Neural Network, Jing Jing Shao, Lin Bin Li, Guang Ji Yin, Xiao Dong Wen, Yu Xiao Zou, Xiao Bao Zuo, Xiao Jian Gao, Shan Shan Cheng
Prediction Of Compressive Strength Of Fly Ash-Recycled Mortar Based On Grey Wolf Optimizer–Backpropagation Neural Network, Jing Jing Shao, Lin Bin Li, Guang Ji Yin, Xiao Dong Wen, Yu Xiao Zou, Xiao Bao Zuo, Xiao Jian Gao, Shan Shan Cheng
School of Engineering, Computing and Mathematics
The evaluation of the mechanical performance of fly ash-recycled mortar (FARM) is a necessary condition to ensure the efficient utilization of recycled fine aggregates. This article describes the design of nine mix proportions of FARMs with a low water/cement ratio and screens six mix proportions with reasonable flowability. The compressive strengths of FARMs were tested, and the influence of the water/cement ratio (w/c) and age on the compressive strength was analyzed. Meanwhile, a backpropagation neural network (BPNN) model optimized by the grey wolf optimizer (GWO), namely the GWO-BPNN model, was established to predict the compressive strength of FARM. The input …
New Ethereum-Based Distributed Pki With A Reward-And-Punishment Mechanism, Chong Gee Koa, Swee Huay Heng, Ji Jian Chin
New Ethereum-Based Distributed Pki With A Reward-And-Punishment Mechanism, Chong Gee Koa, Swee Huay Heng, Ji Jian Chin
School of Engineering, Computing and Mathematics
This paper explores the critical role of Public Key Infrastructure (PKI) in ensuring the security of electronic transactions, particularly in validating the authenticity of websites in online environments. Traditional Centralised PKIs (CPKIs) relying on Certificate Authorities (CAs) face a significant drawback due to their susceptibility to a single point of failure. To address this concern, Decentralised PKIs (DPKIs) have emerged as an alternative. However, both centralised and decentralised approaches encounter specific challenges. Researchers have made several attempts using blockchain-based PKI, which implements a reward and punishment mechanism to enhance the security of traditional PKI. Most of the attempts are focused …
Mesoscale Modeling For Predicting Effective Properties And Damage Behavior Of Geopolymer Concrete, Feiyu Shi, Shanshan Cheng, Longyuan Li
Mesoscale Modeling For Predicting Effective Properties And Damage Behavior Of Geopolymer Concrete, Feiyu Shi, Shanshan Cheng, Longyuan Li
School of Engineering, Computing and Mathematics
Geopolymer concrete is a sustainable construction material and is considered as a promising alternative to traditional Portland cement concrete. However, there is still not much research on the effective properties and damage behavior of geopolymer concrete with consideration of its heterogeneous characteristics by means of mesoscale models combined with the regularized microplane damage model. Here, in this research, an easy and simpler approach for generating concrete mesoscale models and characterizing the angular characteristics of aggregate particles is presented. After the proposed mesoscale modeling was validated by numerical, experimental and theoretical models, it was employed further to predict the effective properties …
State Space Model Of Airflow In The Human Vocal Apparatus, Ian Howard
State Space Model Of Airflow In The Human Vocal Apparatus, Ian Howard
School of Engineering, Computing and Mathematics
To simulate both airflow and air pressure required for speech production, we developed a nonlinear state-space model of airflow in the human speech apparatus. We modeled the lungs as a mechanical, force-driven piston pump venting into a simplified larynx model, represented as a valve with time-varying resistance to airflow. The pump incorporates the effects of elasticity, viscosity, friction, and inertia, as well as differential air pressure. To maintain a constant target airflow through the larynx, a proportional-derivative (PD) controller applies force and regulates the piston. The model was implemented in MATLAB. Simulation results demonstrate that the model can maintain a …
Developing An Artificial Intelligence Framework For Identifying Fusion Blood-Based Biomarkers In Alzheimer's Disease, Ali H. Al-Nuaimi, Mohammed Kamal Nsaif, Shaymaa Al-Juboori
Developing An Artificial Intelligence Framework For Identifying Fusion Blood-Based Biomarkers In Alzheimer's Disease, Ali H. Al-Nuaimi, Mohammed Kamal Nsaif, Shaymaa Al-Juboori
School of Engineering, Computing and Mathematics
Alzheimer’s Disease (AD) is an irreversible neurological disorder, a major cause of disability among the elderly, with no effective therapeutic options currently available. It is an asymp-tomatic disease in the prodromal stages and begins many years before clinical appearances. Early diagnosis of AD allows patients to obtain appropriate healthcare assistance, accelerating the development of new medications. A biomarker that evaluates the alterations in the brain cells produced by AD in its preliminary periods might be significant for its early identification. Blood-based biomarkers (BBBMs) facilitate the early detection of AD. The BBBMs detection procedure is cost-efficient and minimally invasive. The aim …
Artificial Intelligence Powered System For Epilepsy Detection Using Eeg Biomarkers, Ali H. Al-Nuaimi, Shaymaa Al-Juboori
Artificial Intelligence Powered System For Epilepsy Detection Using Eeg Biomarkers, Ali H. Al-Nuaimi, Shaymaa Al-Juboori
School of Engineering, Computing and Mathematics
One of the most prevalent neurological disorders is epilepsy. Epileptic seizures can occurrepeatedly in people with the condition for no recognisable reason. The diagnostic methodsdependent on EEG are promising. EEG has uncovered the dynamic functioning of all brain areasthroughout time. Its low cost, non-invasiveness, and simply make it crucial for clinicalevaluations of brain function. Integrating multiple EEG biomarkers as a compound biomarkercould provide a high performance that may accelerate the diagnosis speeds. Artificial intelligencetechniques such as machine learning and deep learning provide a significant result in healthcareapplications. Logistic Regression (LR), Naive Bayes (NB), and Neural Network (NN) wereevaluated using a …
Speech-Aided Facial Video Super Resolution With Accurate Lip Motion And Enhanced Frequency Details, Shailza Sharma, Vivek Singh, Abhinav Dhall, Vinay Kumar
Speech-Aided Facial Video Super Resolution With Accurate Lip Motion And Enhanced Frequency Details, Shailza Sharma, Vivek Singh, Abhinav Dhall, Vinay Kumar
School of Engineering, Computing and Mathematics
Despite recent breakthroughs in face hallucination, video face hallucination remains a challenging task due to the issue of consistency across video frames. The temporal dimension in videos makes it difficult to learn facial motion and maintain color uniformity throughout the sequence. To address these challenges, we propose a novel audio-visual cross-modality support based video face hallucination network. The framework excels in learning fine spatiotemporal motion patterns by leveraging the correlation between movement of the facial structure and associated speech signal. Another significant challenge generic to face hallucination is blurriness around the key facial regions, such as mouth and lips. These …
Cold Water Swimming And Pregnancy: A Scoping Review And Consensus Recommendations, J. Shawe, M. Felton, J. C. Harper, C. Mark Harper, R. Stidson, M. Tipton, S. Blowers, K. Fraser, S. Hingley, E. Mcgrath, G. Bainbridge, Massey Heather
Cold Water Swimming And Pregnancy: A Scoping Review And Consensus Recommendations, J. Shawe, M. Felton, J. C. Harper, C. Mark Harper, R. Stidson, M. Tipton, S. Blowers, K. Fraser, S. Hingley, E. Mcgrath, G. Bainbridge, Massey Heather
School of Nursing and Midwifery
Introduction: Cold water swimming has increased in popularity and women wish to swim throughout pregnancy. There is a lack of evidenced-based guidance to make decisions about the safety of immersion in cold water during pregnancy. Methods: Closed social media groups were asked for specific questions in relation to cold water swimming and pregnancy. This highlighted concerns including water temperature, risks to the mother and fetus, and water quality. To find evidence-based answers, a series of meetings brought together clinicians and researchers with expertise in cold water physiology, exercise physiology, fertility, obstetrics, neonatology, midwifery, water epidemiology, public health and representatives from …
Promoting An Inclusive And Humanised Environment In The Intensive Care Unit: Shift Happens, Emilio Rodriguez-Ruiz, Jos M. Latour, Margo M.C. Van Mol
Promoting An Inclusive And Humanised Environment In The Intensive Care Unit: Shift Happens, Emilio Rodriguez-Ruiz, Jos M. Latour, Margo M.C. Van Mol
School of Nursing and Midwifery
No abstract provided.
A Data-Driven Approach To Offshore Wind Forecasting In The Celtic Sea, Ajit C Pillai, Peter Jenkin, Ian Ashton, Edward Steele, Marcus Juniper, Jiaxin Chen
A Data-Driven Approach To Offshore Wind Forecasting In The Celtic Sea, Ajit C Pillai, Peter Jenkin, Ian Ashton, Edward Steele, Marcus Juniper, Jiaxin Chen
School of Engineering, Computing and Mathematics
Accurate weather forecasting is crucial for various industries,including offshore wind, which is vital for global net zeroenergy goals. Machine learning models, trained on historicaldata, offer a new opportunity by replacing traditional physicsbasedequations. These models can learn patterns not alwaysrepresented by physical equations, potentially increasing the accuracyand efficiency of weather forecasting compared to traditionalNumerical Weather Prediction (NWP).This study applies a machine learning framework (MaLCOM)to offshore wind forecasting in the Celtic Sea. It uses anattention-based LSTM recurrent neural network to learn temporalpatterns and a random forest-based spatial nowcasting model,trained on ERA5 data, for spatiotemporal predictions. Windsderived from wave spectra measured by buoys …
Quality Of Life Among Indonesian Family Caregivers Caring For Dependent Older Persons With Type 2 Diabetes Mellitus In The Community: A Cross-Sectional, Correlational Study, Rinco Siregar, Charuwan Kritpracha, Tippamas Chinnawong, Jos M. Latour
Quality Of Life Among Indonesian Family Caregivers Caring For Dependent Older Persons With Type 2 Diabetes Mellitus In The Community: A Cross-Sectional, Correlational Study, Rinco Siregar, Charuwan Kritpracha, Tippamas Chinnawong, Jos M. Latour
School of Nursing and Midwifery
Background: The global prevalence of older adults with diabetes has increased, and family caregivers in Indonesia play a critical role in managing diabetes and providing personal care. However, caregiving can be complex and challenging, often negatively affecting caregivers' quality of life (QoL). Objective: This study aimed to develop and test a hypothesized causal model of QoL among Indonesian family caregivers who care for dependent older persons with type 2 diabetes mellitus (T2DM) in 2024. Methods: A cross-sectional, correlational study was conducted with 270 family caregivers recruited from five Community Health Centers. Data were collected using various scales: the Center for …
‘The Transition Home With A Premature Baby’: How Prepared Are Parents For Discharge From Nicu: A Narrative Review, Beth Taylor, Kevin Hambridge
‘The Transition Home With A Premature Baby’: How Prepared Are Parents For Discharge From Nicu: A Narrative Review, Beth Taylor, Kevin Hambridge
School of Nursing and Midwifery
Aims: To systematically review qualitative studies, investigating how prepared parents are for discharge home from NICU with their premature baby. Design: A qualitative narrative review and thematic synthesis of selected qualitative research evidence. Data sources: Searches were found between December 2022 and March 2023. Electronic databases (CINAHL, PsycINFO, PUBMED, Science Direct) were used. Additionally, Google Scholar for grey literature. Studies were searched within the ten-year time frame. Review methods: Seven primary studies met the inclusion criteria and were appraised for quality using the Critical Appraisal Skills Program tool. Qualitative data was collected, therefore creating a thematic synthesis. Results: Seven qualitative …
Modelling The Hydrodynamic Response Of A Floating Offshore Wind Turbine – A Comparative Study, Shimin Yu, Edward Ransley, Ling Qian, Yang Zhou, Scott Brown, Deborah Greaves, Martyn Hann, Anna Holcombe, Emma Edwards, Tom Tosdevin, Sudhir Jagdale, Qian Li, Yi Zhang, Ningbo Zhang, Shiqiang Yan, Qingwei Ma, Bonaventura Tagliafierro, Salvatore Capasso, Iván Martínez-Estévez, Malin Göteman, Hans Bernhoff, Madjid Karimirad, José M. Domínguez, Corrado Altomare, Giacomo Viccione, Alejandro J.C. Crespo, Moncho Goméz-Gesteira, Claes Eskilsson, Gael Verao Fernandez, Jacob Andersen
Modelling The Hydrodynamic Response Of A Floating Offshore Wind Turbine – A Comparative Study, Shimin Yu, Edward Ransley, Ling Qian, Yang Zhou, Scott Brown, Deborah Greaves, Martyn Hann, Anna Holcombe, Emma Edwards, Tom Tosdevin, Sudhir Jagdale, Qian Li, Yi Zhang, Ningbo Zhang, Shiqiang Yan, Qingwei Ma, Bonaventura Tagliafierro, Salvatore Capasso, Iván Martínez-Estévez, Malin Göteman, Hans Bernhoff, Madjid Karimirad, José M. Domínguez, Corrado Altomare, Giacomo Viccione, Alejandro J.C. Crespo, Moncho Goméz-Gesteira, Claes Eskilsson, Gael Verao Fernandez, Jacob Andersen
School of Engineering, Computing and Mathematics
This paper summarises the work conducted within the 1st FOWT (Floating Offshore Wind Turbine) Comparative Study organised by the EPSRC (UK) ‘Extreme loading on FOWTs under complex environmental conditions’ and ‘Collaborative computational project on wave structure interaction (CCP-WSI)’ projects. The hydrodynamic response of a FOWT support structure is simulated with a range of numerical models based on potential theory, Morison equation, Navier-Stokes solvers and hybrid methods coupling different flow solvers. A series of load cases including the static equilibrium tests, free decay tests, operational and extreme focused wave cases are considered for the UMaine VolturnUS-S semi-submersible platform, and the results …
The Effect Of Device Geometry On The Performance Of A Wave Energy Converter, Emma C. Edwards, Craig Whitlam, John Chapman, Jack Hughes, Bryony Redfearn, Scott Brown, Scott Draper, Alistair G.L. Borthwick, Graham Foster, Dick K.P. Yue, Martyn Hann, Deborah Greaves
The Effect Of Device Geometry On The Performance Of A Wave Energy Converter, Emma C. Edwards, Craig Whitlam, John Chapman, Jack Hughes, Bryony Redfearn, Scott Brown, Scott Draper, Alistair G.L. Borthwick, Graham Foster, Dick K.P. Yue, Martyn Hann, Deborah Greaves
School of Engineering, Computing and Mathematics
Wave energy presents an excellent opportunity to add much-needed diversification to the global renewable energy portfolio. However, a competitive levelised cost of electricity for wave energy conversion devices is yet to be proven. Here, we optimise the geometry of a wave energy device to maximise power while also minimising the power take-off reaction moments. Using theory, numerical modelling and optimisation techniques, we show that by including minimisation of reaction moments in the optimisation, instead of only maximisation of power, it is possible to substantially lower the design loads while maintaining high efficiency. Using the underlying physics of how geometry affects …
Bridging The Gap: Exploring The Potential Of Virtual Reality For Supporting Autistic Individuals In Interview And Recruitment Processes Through A Realist Review, Katie Edwards, Marius Varga, Michael Loizou
Bridging The Gap: Exploring The Potential Of Virtual Reality For Supporting Autistic Individuals In Interview And Recruitment Processes Through A Realist Review, Katie Edwards, Marius Varga, Michael Loizou
School of Nursing and Midwifery
The aim of this realist review was to systematically analyse the peer-reviewed academic literature, reports and blogs to determine: (1) the mechanisms and contexts by which recruitment and early employment experiences lead to poor outcomes for autistic adults, and (2) how a Virtual Reality (VR) intervention might lead to positive outcomes within the recruitment and early employment experiences for autistic adults. Throughout, we worked with a PPIE group of autistic people who were fully involved in the realist synthesis process. We identified challenges across the employment journey including limited vocational guidance and employment readiness support, exclusionary job descriptions, and traditional …
Scaled Physical Modelling Of Floating Offshore Wind Turbines Using A Neural Network-Based Surrogate Model For Aerodynamic Emulation, Emma C Edwards, Edward Barbour, Tom Tosdevin, Edward Ransley, Kieran Monk, Alastair Reynolds, Anna Holcombe, Scott Brown, Deborah Greaves, Martyn Hann
Scaled Physical Modelling Of Floating Offshore Wind Turbines Using A Neural Network-Based Surrogate Model For Aerodynamic Emulation, Emma C Edwards, Edward Barbour, Tom Tosdevin, Edward Ransley, Kieran Monk, Alastair Reynolds, Anna Holcombe, Scott Brown, Deborah Greaves, Martyn Hann
School of Engineering, Computing and Mathematics
Scaled physical modelling of floating offshore wind turbines is a crucial step in the continued development of floating offshore wind to reach Net-Zero goals. However, it is an inherently difficult task due to the incongruity between Reynolds scaling (important for wind effects) and Froude scaling (important for wave effects). One option to overcome this difficulty is to use a real-time hybrid testing approach, whereby a Froude-scaled model is tested in a wave basin with a thruster replacing the wind turbine. Typically, a low-fidelity numerical model is run in real time to determine the appropriate aerodynamic thrust applied by the thruster. …
A New Cfd-Mbd Wave-Structure Interaction Model: Coupling Openfoam With Chrono, Haifei Chen, Tianyuan Wang, Deborah Greaves, Hongda Shi, Qingping Zou
A New Cfd-Mbd Wave-Structure Interaction Model: Coupling Openfoam With Chrono, Haifei Chen, Tianyuan Wang, Deborah Greaves, Hongda Shi, Qingping Zou
School of Engineering, Computing and Mathematics
Interconnected multibody floating structures have gained popularity recently. The dynamic response of moored interconnected floating bodies to wave action, however, are complicated and challenging to model and analyze. To tackle the problem, a novel wave-structure-interaction (WSI) model is developed for the first time by coupling a finite volume CFD model, OpenFOAM, with Project Chrono, a multi-physics simulation engine for multibody dynamics (MBD) and finite element analysis, through linking pre-compiled dynamic libraries. This paper focuses on dynamic behavior of rigid structures restrained with a mooring system. To account for the floating body motion in the fluid solver, both mesh deformation and …
The Moral Regime Of Midwifery Continuity Of Carer Implementation In England, Aimee Louise Middlemiss, Susan Channon, Julia Sanders, Heather Strange, Rebecca Milton, Sara Kenyon, Tina Prendeville, Susan Barry, Aled Jones
The Moral Regime Of Midwifery Continuity Of Carer Implementation In England, Aimee Louise Middlemiss, Susan Channon, Julia Sanders, Heather Strange, Rebecca Milton, Sara Kenyon, Tina Prendeville, Susan Barry, Aled Jones
School of Nursing and Midwifery
Since 2016, the National Health Service (NHS) in England has been aiming to implement midwifery continuity of carer (MCoC), a model of maternity care in which the same midwife or small group of midwives provides antenatal, intrapartum and postnatal care for women, other birthing people and their babies. However, the implementation has faced significant difficulties. As part of a wider investigation into barriers to and facilitators of MCoC implementation, we carried out qualitative interviews with senior stakeholders involved in the implementation of MCoC at regional or national level in England. In this paper, we present an analysis of sociocultural values …
Mapping The Process Of Engagement With Digital Health Interventions: A Cross-Case Synthesis, Madison Milne-Ives, Sophie R. Homer, Jackie Andrade, Edward Meinert
Mapping The Process Of Engagement With Digital Health Interventions: A Cross-Case Synthesis, Madison Milne-Ives, Sophie R. Homer, Jackie Andrade, Edward Meinert
School of Nursing and Midwifery
Objective: To map the associations between affective, cognitive, and behavioral components of engagement with digital health interventions to provide a framework to improve intervention design, evaluation, and impact. Patients and Methods: An exploratory multiple case study examined 3 studies evaluating a childhood obesity mobile application (NoObesity, data collection: from September 15, 2020 to June 23, 2021), a mental health conversational agent mobile application (Wysa, data collection: from December 13, 2022 to July 31, 2023), and a telephone-delivered conversational agent postsurgical assessment (Dora R1, data collection: from September 17, 2021 to January 31, 2022). Qualitative data from semi-structured interviews (NoObesity: n=15, …