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    216 research outputs found

    Simulation for collaborative processes in Industry 4.0 - code for simulation framework

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    This code provides detailed information about the implementation of the simulation framework proposed during this PhD research

    Design, development, and evaluation of a web-based information tool to support decisions on treatment options for people with advanced pancreatic cancer: A mixed-methods study

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    The current approach to evidence-based medicine advocates the incorporation of clinical evidence with patients’ preferences when providing healthcare. However, exploring patients’ preferences is complex, especially for people diagnosed with advanced pancreatic cancer (APC), because of the associated low incidence and high mortality rates of the disease compared to other cancers. APC is incurable, and patients usually receive palliative systemic anticancer treatment (SACT). Nevertheless, SACTs have benefits, risks, and uncertainties, and recipients should be provided with the facts to enable them to participate effectively in the discussions about treatment options or abstain from active treatment. Patients and healthcare professionals (HCPs) discuss treatment options through shared decision-making (SDM) which is facilitated by web-based patient decision support tools (PDSTs). However, PDSTs that support APC patients are lacking. As a result, people with APC make difficult decisions about treatment options without these tools that can potentially support them during medical consultations. Even when these PDSTs are available, they often suffer from practical adoption in healthcare. Therefore, this study aimed to explore the feasibility and acceptability of a web-based treatment information tool (WIT) for people diagnosed with APC who are considering treatment options for their situation. To achieve the aim of the study, a multi-phase mixed-methods approach was adopted, which includes (1) needs assessment using interviews and focus groups, (2) synthesis of medical evidence through systematic review and network meta-analysis of randomised controlled trials, (3) design and (4) evaluation of a WIT through a human-centred design (HCD) approach. Participants were adult patients diagnosed with APC and their relatives, clinical nurse specialists, medical oncologists, and allied healthcare personnel recruited from two National Health Service Foundation Trusts in Southwest England and the Pancreatic Cancer UK Research Involvement Network. A total of 28 participants (nine patients, four relatives, seven nurse specialists, five specialist doctors, and three members of the public) were involved in various phases of the study. Three main themes were identified from the needs assessment: facilitators and barriers to making choices, the importance of providing accessible information, and the ever-changing treatment experience. A review of the medical evidence suggests the necessity of considering multiple outcomes, such as survival, side effects and quality of life information, for APC treatment decision-making. The developed WIT demonstrated the potential to provide adequate information about the benefits, side effects and quality-of-life information of APC chemotherapy regimens for patients, relatives, and HCPs. However, the WIT’s acceptability depended on its suitability for patients as perceived by HCPs. Furthermore, the primary usability themes from the evaluation of the WIT were information sufficiency, information clarity, information relevance, user preferences, and programming defects. This study’s contribution includes an in-depth understanding of the information needs and challenges of APC treatment following a diagnosis; synthesis of the efficacy, safety, and quality-of-life information of APC chemotherapy regimens; a set of design guidelines for PDST implementation; and the application of the HCD approach among APC patients highlighting the significance and necessity of interdisciplinary research for designing PDSTs for vulnerable users. Further research is needed to assess the WIT’s effectiveness in SDM, enhance the acceptability of PDSTs among HCPs, and validate the design guidelines for widespread use

    Tool and Codes for Simulator-based-Digital-Twin

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    The corresponding tool (codes) are related to Chapter 5 of the PhD thesis entitled- "Adaptive Simulation Modelling using Digital Twin Paradigm

    Interviews with practitioners in an English Criminal Justice Liaison and Diversion (CJLD) partnership

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    This data are twenty transcripts of interviews and represents part of a wider mixed methods dataset collected for a PhD awarded in 2023

    Generated referral letters using ChatGPT

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    This dataset is used for the paper named "Capability of Large Language Models in Assisting GPs with Diagnoses", which is the Chapter 5 of the thesis "Diagnosis for Patient and GP: Dialogue-based Self-Diagnosis with Disease-Symptoms Graph and Referral Letter Classification

    AVDOS-VR: Affective Video Database with Physiological Signals and Continuous Ratings Collected Remotely in VR

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    AVDOS-VR is a database of physiological measures (7 channel EMG, forehead PPG, contact - skin impedance and IMU) collected from 37 participants while watching affective videos. Participants continuously rated their arousal and valence ratings using a controller while watching affective videos in virtual reality. A total of 17 hours of physiological data has been recorded with an average of 28 minutes per participant. Data was collected remotely by participants through self-guided protocol with video call supervision

    British Academy grant: the neural bases of emotion processing and regulation in bulimia nervosa

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    This dataset contains the data of N=35 controls and N=32 people with bulimia nervosa. It contains the data of their answers to a survey asking questions about their eating disordered thoughts and behaviours (EDE-Q); their use of suppression and reappraisal (ERQ); difficulties with emotion dysregulations (DERS), alexithymia (TAS); emotional reactivity (ERS); depression stress and anxiety (DASS); empathy (IRI). It also contains their LPP (Late Positive Potential) data for the electroencephalography (EEG) task, for the first tiem they viewed the picture (to look at emotion processing) and the second time (to look at emotion regulation)

    VR Clinical Training Simulation Usability Scores

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    The usability study was conducted to evaluate the virtual reality (VR) clinical training simulation by analysing user interactions, errors, and perceptions

    Is There Hebb Repetition Learning for Semantic Information?

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    There are numerous pieces of empirical evidence (Hebb, 1961; Johnson et al., 2017; Page et al., 2013) showing that repeating a sequence of information results in better serial recall accuracy relative to non-repeated sequences (i.e., the Hebb repetition effect, HRE). Additional information, other than exact item and order repetition, can produce HREs such as motor responses (Johnson et al., 2017) and metrical patterns (Paice et al., in preparation). There has, however, been no investigation as to whether semantic information can be acquired in a similar way to item and order information, despite evidence showing semantic similarity improves recall in Immediate Serial Recall (ISR) tasks (Saint-Aubin et al., 2005). The current research therefore investigated whether a HRE for semantic information exists across three experiments using HRE procedures. Experiment 1 showed no evidence of a HRE when only a semantic pattern was repeated, (i.e., without exact item repetition). Experiment 2 replicated the canonical HRE with exact list repetitions; however, the recall advantage generated did not transfer to novel item lists following the same semantic pattern. That is, Experiment 2 showed that once learnt, sequence knowledge was not transferred to a semantically related list. Lastly, Experiment 3 adopted a typical Hebb repetition paradigm wherein participants learnt lists of category labels; however, at test participants reconstructed the lists using exemplars of the category labels. There was a significant HRE, however, the exact mechanism driving this effect is unclear. In general, results are discussed alongside two prominent models of the HRE (Burgess & Hitch, 1999, 2006; Page & Norris, 1998, 2009). Overall, findings across the three experiments suggest that semantic information is not acquired in a similar way to item and order information when learning new lists, therefore, supporting the two models in their current form as explanations of the HRE

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