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  1. Article ; Online: Guest Editorial: Prevention is better than cure for medicolegal matters.

    Wright, Michael

    Australian journal of general practice

    2023  Volume 52, Issue 12, Page(s) 821

    Language English
    Publishing date 2023-12-04
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2924889-9
    ISSN 2208-7958 ; 2208-794X
    ISSN (online) 2208-7958
    ISSN 2208-794X
    DOI 10.31128/AJGP-08-23-6941
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.B 2235: Show issues Location:
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  2. Article ; Online: Medicolegal.

    Wright, Michael

    Australian journal of general practice

    2023  Volume 52, Issue 12, Page(s) 819

    Language English
    Publishing date 2023-12-04
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2924889-9
    ISSN 2208-7958 ; 2208-794X
    ISSN (online) 2208-7958
    ISSN 2208-794X
    DOI 10.31128/AJGP-08-23-6941
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  3. Article ; Online: Hospitals Are Not Prisons: Decision-Making Capacity, Autonomy, and the Legal Right to Refuse Medical Care, Including Observation.

    S Wright, Megan

    The American journal of bioethics : AJOB

    2024  Volume 24, Issue 5, Page(s) 37–39

    MeSH term(s) Humans ; Opiate Overdose ; Civil Rights ; Mental Competency/legislation & jurisprudence ; Treatment Refusal ; Hospitals
    Language English
    Publishing date 2024-04-18
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2060433-6
    ISSN 1536-0075 ; 1526-5161
    ISSN (online) 1536-0075
    ISSN 1526-5161
    DOI 10.1080/15265161.2024.2327293
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6814: Show issues Location:
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  4. Article: Tapping Ovarian Tumors.

    Wright, M B

    The Chicago medical journal and examiner

    2023  Volume 33, Issue 5, Page(s) 414–418

    Language English
    Publishing date 2023-08-24
    Publishing country United States
    Document type Journal Article
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Accelerometry-Based Prediction of Energy Expenditure in Preschoolers

    Steenbock, Berit / Wright, Marvin / Wirsik, Norman / Brandes, Mirko

    Journal for the Measurement of Physical Behaviour, 2(2):94-102

    2019  

    Abstract: PURPOSE: Study purposes were to develop energy expenditure (EE) prediction models from raw accelerometer data and to investigate the performance of three different accelerometers on five different wear positions in preschoolers. METHODS: Fourty-one ... ...

    Institution Leibniz-Institut für Präventionsforschung und Epidemiologie
    Abstract PURPOSE: Study purposes were to develop energy expenditure (EE) prediction models from raw accelerometer data and to investigate the performance of three different accelerometers on five different wear positions in preschoolers. METHODS: Fourty-one children (54% boys; 3–6.3 years) wore two Actigraph GT3X (left and right hip), three GENEActiv (right hip, left and right wrist), and one activPAL (right thigh) while completing a semi-structured protocol of 10 age-appropriate activities. Participants wore a portable indirect calorimeter to estimate EE. Utilized models to estimate EE included a linear model (LM), a mixed linear model (MLM), a random forest model (RF), and an artificial neural network model (ANN). For each accelerometer, model, and wear position, we assessed prediction accuracy via leave-one-out cross-validation and calculated the root-mean-squared-error (RMSE). RESULTS: Mean RMSE ranged from 2.56–2.76 kJ/min for the RF, 2.72–3.08 kJ/min for the ANN, 2.83–2.94 kJ/min for the LM, and 2.81–2.92 kJ/min for the MLM. The GENEActive obtained mean RMSE of 2.56 kJ/min (left and right wrist) and 2.73 kJ/min (right hip). Predicting EE using the GT3X on the left and right hip obtained mean RMSE of 2.60 and 2.74 kJ/min. The activPAL obtained a mean RMSE of 2.76 kJ/min. CONCLUSION: These results demonstrate good prediction accuracy for recent accelerometers on different wear positions in preschoolers. The RF and ANN were equally accurate in EE prediction compared with (mixed) linear models. The RF seems to be a viable alternative to linear and ANN models for EE prediction in young children in a semi-structured setting.
    Keywords Children ; Accelerometer ; Linear mixed model ; Machine learning ; Physical activity ; Validation
    Language English
    Document type Article
    Database Repository for Life Sciences

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  6. Article ; Online: Management of diabetic ketoacidosis in children.

    Wright, M / Body, S / Lutman, D

    BJA education

    2023  Volume 23, Issue 9, Page(s) 364–370

    Language English
    Publishing date 2023-07-21
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2888911-3
    ISSN 2058-5357 ; 2058-5349
    ISSN (online) 2058-5357
    ISSN 2058-5349
    DOI 10.1016/j.bjae.2023.03.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6459: Show issues Location:
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  7. Book ; Online: Design and Implementation of a Quantum Kernel for Natural Language Processing

    Wright, Matt

    2022  

    Abstract: Natural language processing (NLP) is the field that attempts to make human language accessible to computers, and it relies on applying a mathematical model to express the meaning of symbolic language. One such model, DisCoCat, defines how to express both ...

    Abstract Natural language processing (NLP) is the field that attempts to make human language accessible to computers, and it relies on applying a mathematical model to express the meaning of symbolic language. One such model, DisCoCat, defines how to express both the meaning of individual words as well as their compositional nature. This model can be naturally implemented on quantum computers, leading to the field quantum NLP (QNLP). Recent experimental work used quantum machine learning techniques to map from text to class label using the expectation value of the quantum encoded sentence. Theoretical work has been done on computing the similarity of sentences but relies on an unrealized quantum memory store. The main goal of this thesis is to leverage the DisCoCat model to design a quantum-based kernel function that can be used by a support vector machine (SVM) for NLP tasks. Two similarity measures were studied: (i) the transition amplitude approach and (ii) the SWAP test. A simple NLP meaning classification task from previous work was used to train the word embeddings and evaluate the performance of both models. The Python module lambeq and its related software stack was used for implementation. The explicit model from previous work was used to train word embeddings and achieved a testing accuracy of $93.09 \pm 0.01$%. It was shown that both the SVM variants achieved a higher testing accuracy of $95.72 \pm 0.01$% for approach (i) and $97.14 \pm 0.01$% for (ii). The SWAP test was then simulated under a noise model defined by the real quantum device, ibmq_guadalupe. The explicit model achieved an accuracy of $91.94 \pm 0.01$% while the SWAP test SVM achieved 96.7% on the testing dataset, suggesting that the kernelized classifiers are resilient to noise. These are encouraging results and motivate further investigations of our proposed kernelized QNLP paradigm.
    Keywords Computer Science - Computation and Language ; Computer Science - Machine Learning ; Quantum Physics
    Subject code 006
    Publishing date 2022-05-12
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Schizophrenia and schizophrenia spectrum disorders.

    Wright, Matthew

    JAAPA : official journal of the American Academy of Physician Assistants

    2020  Volume 33, Issue 6, Page(s) 46–47

    MeSH term(s) Adult ; Antipsychotic Agents/administration & dosage ; Antipsychotic Agents/adverse effects ; Dopamine Antagonists/administration & dosage ; Dopamine Antagonists/adverse effects ; Humans ; Male ; Schizophrenia/diagnosis ; Schizophrenia/drug therapy ; Schizophrenic Psychology ; Young Adult
    Chemical Substances Antipsychotic Agents ; Dopamine Antagonists
    Language English
    Publishing date 2020-05-26
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 2415226-2
    ISSN 0893-7400 ; 1547-1896
    ISSN (online) 0893-7400
    ISSN 1547-1896
    DOI 10.1097/01.JAA.0000662412.51169.bf
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6624: Show issues Location:
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  9. Article ; Online: Normalization of Deviance.

    Wright, M Imelda

    Western journal of nursing research

    2021  Volume 44, Issue 2, Page(s) 115

    Language English
    Publishing date 2021-07-08
    Publishing country United States
    Document type Editorial
    ZDB-ID 632788-6
    ISSN 1552-8456 ; 0193-9459
    ISSN (online) 1552-8456
    ISSN 0193-9459
    DOI 10.1177/01939459211030334
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.B 2899: Show issues Location:
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  10. Article ; Online: Against Externalism: Maintaining Patient Autonomy and the Right to Refuse Medical Treatment.

    S Wright, Megan

    The American journal of bioethics : AJOB

    2022  Volume 22, Issue 10, Page(s) 58–60

    MeSH term(s) Humans ; Paternalism ; Treatment Refusal
    Language English
    Publishing date 2022-09-28
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2060433-6
    ISSN 1536-0075 ; 1526-5161
    ISSN (online) 1536-0075
    ISSN 1526-5161
    DOI 10.1080/15265161.2022.2110985
    Database MEDical Literature Analysis and Retrieval System OnLINE

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