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Articles 69451 - 69480 of 69655
Full-Text Articles in Entire DC Network
Learning From Failure: Errorful Generation Improves Memory For Items, Not Associations, Tina Seabrooke, Timothy J. Hollins, Christopher Kent, Andy J. Wills, Chris J. Mitchell
Learning From Failure: Errorful Generation Improves Memory For Items, Not Associations, Tina Seabrooke, Timothy J. Hollins, Christopher Kent, Andy J. Wills, Chris J. Mitchell
School of Psychology
No abstract provided.
Uncertainty And Blocking In Human Causal Learning, Peter M. Jones, Tara Zaksaite, Chris J. Mitchell
Uncertainty And Blocking In Human Causal Learning, Peter M. Jones, Tara Zaksaite, Chris J. Mitchell
School of Psychology
No abstract provided.
Linking Repetition Priming, Recognition, And Source Memory: A Single-System Signal-Detection Account, Nicholas Lange, Christopher J. Berry, Timothy J. Hollins
Linking Repetition Priming, Recognition, And Source Memory: A Single-System Signal-Detection Account, Nicholas Lange, Christopher J. Berry, Timothy J. Hollins
School of Psychology
No abstract provided.
Numerical Modelling Of Responses Of Offshore Wave Energy Converters In Extreme Waves, Pierre-Henri Musiedlak
Numerical Modelling Of Responses Of Offshore Wave Energy Converters In Extreme Waves, Pierre-Henri Musiedlak
School of Engineering, Computing and Mathematics Theses
Wave Energy is a promising sector for sustainable low-carbon energy production. Despite the effort put in the last decade, concerning problems remained unsolved. Numerical modelling can play a key role in the assessment of extreme responses necessary to the understanding of Wave Energy Converter (WEC) capacity to survive extreme conditions. However, high-fidelity codes are too time-consuming for industries, while codes of lower fidelity are based on major physical assumptions inducing concerning uncertainties. Therefore, the present study - sponsored jointly by DNV GL and the University of Plymouth - develops an hybrid model coupling the low-fidelity model WaveDyn, with a Computational …
Dynamic Instability Of Castellated Beams Subjected To Transverse Periodic Loading, S Elaiwi, B Kim, L-Y Li
Dynamic Instability Of Castellated Beams Subjected To Transverse Periodic Loading, S Elaiwi, B Kim, L-Y Li
School of Engineering, Computing and Mathematics
No abstract provided.
Linear And Nonlinear Buckling Analysis Of Castellated Beams, B Kim, S Elaiwi, L-Y Li
Linear And Nonlinear Buckling Analysis Of Castellated Beams, B Kim, S Elaiwi, L-Y Li
School of Engineering, Computing and Mathematics
The aim of the present paper is to investigate the effect of web openings on the lateral-torsional buckling resistance of castellated beams by using both analytical and numerical methods. The analytical approach is developed based on the principle of minimum potential energy, meanwhile elastic and inelastic numerical solutions obtained using ANSYS software are for the validation of the analytical solutions. The investigations are carried out through the application of uniformly distributed transverse loading on top flange of a castellated beam with common boundary conditions. The developed analytical solutions is can be used for the design and practical use.
Novel Trust Consensus Protocol And Blockchain-Based Trust Evaluation System For M2m Application Services, Besfort Shala, Ulrich Trick, Armin Lehmann, Bogdan Ghita, Stavros Shiaeles
Novel Trust Consensus Protocol And Blockchain-Based Trust Evaluation System For M2m Application Services, Besfort Shala, Ulrich Trick, Armin Lehmann, Bogdan Ghita, Stavros Shiaeles
School of Engineering, Computing and Mathematics
No abstract provided.
Data Encryption And Fragmentation In Autonomous Vehicles Using Raspberry Pi 3, Sahand Murad, Asiya Khan, S Shiaeles, Giovani Masala
Data Encryption And Fragmentation In Autonomous Vehicles Using Raspberry Pi 3, Sahand Murad, Asiya Khan, S Shiaeles, Giovani Masala
School of Engineering, Computing and Mathematics
No abstract provided.
Human Electroencephalogram Based Biomarkers For Detection Of Alzheimer’S Disease, Ali H. Husseen Al-Nuaimi
Human Electroencephalogram Based Biomarkers For Detection Of Alzheimer’S Disease, Ali H. Husseen Al-Nuaimi
School of Engineering, Computing and Mathematics Theses
Alzheimer’s disease (AD) is a progressive disorder that affects cognitive brain functions and develops many years before there are any clinical manifestations. A biomarker that provides a quantitative measure of changes in the brain in the early stages of AD would therefore be useful for early diagnosis. However, this would involve dealing with large numbers of people because up to 50% of dementia sufferers do not receive a formal diagnosis. Thus, there is a need for accurate, low-cost, robust, and easy to use biomarkers that can be used to detect AD in its early stages. Recent guidelines promote the use …
Insights Into Interactions Between Vanadium (V) Bio-Reduction And Pentachlorophenol Dechlorination In Synthetic Groundwater, Baogang Zhang, Yutong Cheng, Jiaxin Shi, Xuan Xing, Yuling Zhu, Nan Xu, Jianxin Xia, Alistair G.L. Borthwick
Insights Into Interactions Between Vanadium (V) Bio-Reduction And Pentachlorophenol Dechlorination In Synthetic Groundwater, Baogang Zhang, Yutong Cheng, Jiaxin Shi, Xuan Xing, Yuling Zhu, Nan Xu, Jianxin Xia, Alistair G.L. Borthwick
School of Engineering, Computing and Mathematics
No abstract provided.
Explicit Radial Basis Function Collocation Method For Computing Shallow Water Flows, Elmiloud Chaabelasri, Mohammed Jeyar, Alistair G.L. Borthwick
Explicit Radial Basis Function Collocation Method For Computing Shallow Water Flows, Elmiloud Chaabelasri, Mohammed Jeyar, Alistair G.L. Borthwick
School of Engineering, Computing and Mathematics
No abstract provided.
Natural Environments And Craving: The Mediating Role Of Negative Affect, Leanne Martin, Sabine Pahl, Mathew P. White, Jon May
Natural Environments And Craving: The Mediating Role Of Negative Affect, Leanne Martin, Sabine Pahl, Mathew P. White, Jon May
School of Psychology
No abstract provided.
Neural Correlates Of Weighted Reward Prediction Error During Reinforcement Learning Classify Response To Cognitive Behavioral Therapy In Depression, Filippo Queirazza, Elsa Fouragnan, J. Douglas Steele, Jonathan Cavanagh, Marios G. Philiastides
Neural Correlates Of Weighted Reward Prediction Error During Reinforcement Learning Classify Response To Cognitive Behavioral Therapy In Depression, Filippo Queirazza, Elsa Fouragnan, J. Douglas Steele, Jonathan Cavanagh, Marios G. Philiastides
School of Psychology
While cognitive behavioral therapy (CBT) is an effective treatment for major depressive disorder, only up to 45% of depressed patients will respond to it. At present, there is no clinically viable neuroimaging predictor of CBT response. Notably, the lack of a mechanistic understanding of treatment response has hindered identification of predictive biomarkers. To obtain mechanistically meaningful fMRI predictors of CBT response, we capitalize on pretreatment neural activity encoding a weighted reward prediction error (RPE), which is implicated in the acquisition and processing of feedback information during probabilistic learning. Using a conventional mass-univariate fMRI analysis, we demonstrate that, at the group …
Dissociation Between Private And Social Counterfactual Value Signals Following Ventromedial Prefrontal Cortex Damage, Nadège Bault, Pellegrino G Di, Martina Puppi, Gaëlle Opolczynski, Alessia Monti, Davide Braghittoni, Florence Thibaut, Aldo Rustichini, Giorgio Coricelli
Dissociation Between Private And Social Counterfactual Value Signals Following Ventromedial Prefrontal Cortex Damage, Nadège Bault, Pellegrino G Di, Martina Puppi, Gaëlle Opolczynski, Alessia Monti, Davide Braghittoni, Florence Thibaut, Aldo Rustichini, Giorgio Coricelli
School of Psychology
No abstract provided.
Stop Stereotyping, Johanna K. Falbén, Juliana L. Olivier, Marius Golubickis, Nerissa S.P. Ho, Linn M. Persson, Dimitra Tsamadi, Eleni Marinopoulou, Bianca Bianciardi, William A. Cunningham, C. Neil Macrae
Stop Stereotyping, Johanna K. Falbén, Juliana L. Olivier, Marius Golubickis, Nerissa S.P. Ho, Linn M. Persson, Dimitra Tsamadi, Eleni Marinopoulou, Bianca Bianciardi, William A. Cunningham, C. Neil Macrae
School of Psychology
No abstract provided.
Are Some Natural Environments More Psychologically Beneficial Than Others? The Importance Of Type And Quality On Connectedness To Nature And Psychological Restoration, Kayleigh J. Wyles, Mathew P. White, Caroline Hattam, Sabine Pahl, Haney King, Melanie Austen
Are Some Natural Environments More Psychologically Beneficial Than Others? The Importance Of Type And Quality On Connectedness To Nature And Psychological Restoration, Kayleigh J. Wyles, Mathew P. White, Caroline Hattam, Sabine Pahl, Haney King, Melanie Austen
School of Psychology
No abstract provided.
From Four To Nine Styles: An Update On Individual Differences In Humor, Sonja Heintz, Willibald Ruch
From Four To Nine Styles: An Update On Individual Differences In Humor, Sonja Heintz, Willibald Ruch
School of Psychology
No abstract provided.
The Core-10 In Screening For Current Mental Health Problems And Severe Mental Illness In Prisoners, Gwen O'Connor, Reg Morris
The Core-10 In Screening For Current Mental Health Problems And Severe Mental Illness In Prisoners, Gwen O'Connor, Reg Morris
School of Psychology
No abstract provided.
Brief Group‐Based Acceptance And Commitment Therapy For Stroke Survivors, Sarah Majumdar, Reg Morris
Brief Group‐Based Acceptance And Commitment Therapy For Stroke Survivors, Sarah Majumdar, Reg Morris
School of Psychology
ObjectivesTo date, the efficacy of acceptance and commitment therapy (ACT) for stroke survivors has not been established. The aim of this study was to evaluate the efficacy of group‐based ACT for stroke survivors in comparison with treatment as usual (TAU) controls.MethodsFifty‐three participants were randomly assigned either to group‐based ACT (ACTivate Your Life after Stroke) or to a TAU control group (60% male; mean age: 63 years). The ACT intervention consisted of four weekly 2‐hr didactic group sessions. Therapeutic effects were measured by examining changes in depression (primary outcome), anxiety, hope, health‐related quality of life, self‐rated health status, and mental well‐being. …
Facial Identification For Digital Forensic, Hiba Al-Kawaz
Facial Identification For Digital Forensic, Hiba Al-Kawaz
School of Engineering, Computing and Mathematics Theses
Forensic facial recognition has become an essential requirement in criminal investigations as a result of the emergence of electronic devices, such as mobile phones and computers, and the huge volume of existing content. Forensic facial recognition goes beyond facial recognition in that it deals with facial images under unconstrained and non-ideal conditions, such as low image resolution, varying facial orientation, poor illumination, a wide range of facial expressions, and the presence of accessories. In addition, digital forensic challenges do not only concern identifying an individual but also include understanding the context, acknowledging the relationships between individuals, tracking, and numbers of …
Health Professional Perceptions Of Communicating With Adolescents And Young Adults About Bone Cancer Clinical Trial Participation, Susie Pearce
School of Nursing and Midwifery
No abstract provided.
Implementation Of Paediatric Pain Care-Bundle Across South-West England Clinical Network Of Emergency Departments And Minor Injury Units: A Before And After Study, R Treadgold, D Boon, P Squires, S Courtman, R Endacott
Implementation Of Paediatric Pain Care-Bundle Across South-West England Clinical Network Of Emergency Departments And Minor Injury Units: A Before And After Study, R Treadgold, D Boon, P Squires, S Courtman, R Endacott
School of Nursing and Midwifery
No abstract provided.
Computational Instantaneous Wave‐Free Ratio (Ifr) For Patient‐Specific Coronary Artery Stenoses Using 1d Network Models, Jason M. Carson, Carl Roobottom, Robin Alcock, Perumal Nithiarasu
Computational Instantaneous Wave‐Free Ratio (Ifr) For Patient‐Specific Coronary Artery Stenoses Using 1d Network Models, Jason M. Carson, Carl Roobottom, Robin Alcock, Perumal Nithiarasu
Peninsula Medical School
No abstract provided.
When Stakeholder Pressure Drives The Circular Economy: Measuring The Mediating Role Of Innovation Capabilities, J Suresh, S Kumar Mangla, L Sunil, S Kusi-Sarpong
When Stakeholder Pressure Drives The Circular Economy: Measuring The Mediating Role Of Innovation Capabilities, J Suresh, S Kumar Mangla, L Sunil, S Kusi-Sarpong
Plymouth Business School
Purpose The purpose of this paper is to explore the impact of stakeholder pressures on firm’s circular economy (CE) initiatives. The organizational responses are quite heterogeneous even when the firms face similar pressure. The authors have tried to explain this heterogeneity by using innovative capability as mediating variables. Design/methodology/approach Empirical survey data from Indian manufacturing firms are obtained to test the proposed hypotheses. The hypotheses are grounded in resource-based view of the firm. The authors used structural equation modeling approach with maximum likelihood methods of approximation. Findings The results indicate that exploratory innovation positively influences the firms to adopt CE …
Predictors Of Objectively Measured Physical Activity In 12‐Month‐Old Infants: A Study Of Linked Birth Cohort Data With Electronic Health Records, Haider Raza, Shang Ming Zhou, Charlotte Todd, Danielle Christian, Emily Marchant, Kelly Morgan, Ashrafunnesa Khanom, Rebecca Hill, Ronan A. Lyons, Sinead Brophy
Predictors Of Objectively Measured Physical Activity In 12‐Month‐Old Infants: A Study Of Linked Birth Cohort Data With Electronic Health Records, Haider Raza, Shang Ming Zhou, Charlotte Todd, Danielle Christian, Emily Marchant, Kelly Morgan, Ashrafunnesa Khanom, Rebecca Hill, Ronan A. Lyons, Sinead Brophy
School of Nursing and Midwifery
No abstract provided.
Mobile Health Interventions To Promote Physical Activity And Reduce Sedentary Behaviour In The Workplace: A Systematic Review, Sa Buckingham, Aj Williams, K Morrissey, L Price, J Harrison
Mobile Health Interventions To Promote Physical Activity And Reduce Sedentary Behaviour In The Workplace: A Systematic Review, Sa Buckingham, Aj Williams, K Morrissey, L Price, J Harrison
School of Nursing and Midwifery
Objective This systematic review aimed to assess the effectiveness, feasibility and acceptability of mobile health (mHealth) technology (including wearable activity monitors and smartphone applications) for promoting physical activity (PA) and reducing sedentary behaviour (SB) in workplace settings. Methods Systematic searches were conducted in seven electronic databases (MEDLINE, SPORTDiscus, Scopus, EMBASE, PsycINFO, Web of Science and the Cochrane library). Studies were included if mHealth was a major intervention component, PA/SB was a primary outcome, and participants were recruited and/or the intervention was delivered in the workplace. Study quality was assessed using the Effective Public Health Practice Project (EPHPP) tool. Interventions were …
Machine Learning Methods In Predicting Chemotherapy-Induced Neutropenia In Oncology Patients Using Clinical Data, Alexander Holborow, Bryony Coupe, Mark Davies, Shangming Zhou
Machine Learning Methods In Predicting Chemotherapy-Induced Neutropenia In Oncology Patients Using Clinical Data, Alexander Holborow, Bryony Coupe, Mark Davies, Shangming Zhou
School of Nursing and Midwifery
No abstract provided.
Assessing The Psychosocial Factors Associated With Adherence To Exercise Referral Schemes: A Systematic Review, Michael Eynon, Jessica Foad, John Downey, Yasmin Bowmer, Hayley Mills
Assessing The Psychosocial Factors Associated With Adherence To Exercise Referral Schemes: A Systematic Review, Michael Eynon, Jessica Foad, John Downey, Yasmin Bowmer, Hayley Mills
School of Nursing and Midwifery
This paper aimed to systematically review the evidence base to uncover the key psychosocial factors that underpin adherence to an exercise referral scheme (ERS). Databases PsycINFO, MEDLINE, SPORTDiscus, Web of Science, PubMed, PsycARTICLES, Open Grey, and PsycEXTRA were systematically searched. A parallel results-based convergent synthesis was performed by identifying key themes from quantitative and qualitative studies separately. After applying inclusion and exclusion criteria, the review included 24 eligible studies. Key findings showed intrinsic motivation, psychological need satisfaction, social support, and self-efficacy to be the prominent psychosocial factors associated with ERS adherence. In addition, lower expectations for change when entering the …
What Controls Submarine Channel Development And The Morphology Of Deltas Entering Deep-Water Fjords?, Jenny A. Gales, Peter J. Talling, Matthieu J.B. Cartigny, Clarke J Hughes, Gwyn Lintern, Cooper Stacey, Michael A. Clare
What Controls Submarine Channel Development And The Morphology Of Deltas Entering Deep-Water Fjords?, Jenny A. Gales, Peter J. Talling, Matthieu J.B. Cartigny, Clarke J Hughes, Gwyn Lintern, Cooper Stacey, Michael A. Clare
School of Biological and Marine Sciences
River deltas and associated turbidity current systems produce some of the largest and most rapid sediment accumulations on our planet. These systems bury globally significant volumes of organic carbon and determine the runout distance of potentially hazardous sediment flows and the shape of their deposits. Here we seek to understand the main factors that determine the morphology of turbidity current systems linked to deltas in fjords, and why some locations have well developed submarine channels whilst others do not. Deltas and associated turbidity current systems are analysed initially in five fjord systems from British Columbia in Canada, and then more …
Anthropogenic Noise Pollution Reverses Grouping Behaviour In Hermit Crabs, Svenja Tidau, Mark Briffa
Anthropogenic Noise Pollution Reverses Grouping Behaviour In Hermit Crabs, Svenja Tidau, Mark Briffa
School of Biological and Marine Sciences
No abstract provided.