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ARDebug: An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems.

Frontiers in robotics and AI

Millard AG, Redpath R, Jewers AM, Arndt C, Joyce R, Hilder JA, McDaid LJ, Halliday DM.
PMID: 33500966
Front Robot AI. 2018 Jul 24;5:87. doi: 10.3389/frobt.2018.00087. eCollection 2018.

Despite growing interest in collective robotics over the past few years, analysing and debugging the behaviour of swarm robotic systems remains a challenge due to the lack of appropriate tools. We present a solution to this problem-ARDebug: an open-source,...

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Millard AG, Redpath R, Jewers AM, et al. ARDebug: An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems. Front Robot AI. 2018;5:87doi: 10.3389/frobt.2018.00087.
Millard, A. G., Redpath, R., Jewers, A. M., Arndt, C., Joyce, R., Hilder, J. A., McDaid, L. J., & Halliday, D. M. (2018). ARDebug: An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems. Frontiers in robotics and AI, 587. https://doi.org/10.3389/frobt.2018.00087
Millard, Alan G, et al. "ARDebug: An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems." Frontiers in robotics and AI vol. 5 (2018): 87. doi: https://doi.org/10.3389/frobt.2018.00087
Millard AG, Redpath R, Jewers AM, Arndt C, Joyce R, Hilder JA, McDaid LJ, Halliday DM. ARDebug: An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems. Front Robot AI. 2018 Jul 24;5:87. doi: 10.3389/frobt.2018.00087. eCollection 2018. PMID: 33500966; PMCID: PMC7805932.
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Time-dependent directional intermuscular coherence analysis reveals that forward and backward arm swing equally drive the upper leg muscles during gait initiation.

Gait & posture

Weersink JB, Maurits NM, Halliday DM, de Jong BM.
PMID: 34896841
Gait Posture. 2021 Nov 29;92:290-293. doi: 10.1016/j.gaitpost.2021.11.036. Epub 2021 Nov 29.

BACKGROUND: Human bipedal gait benefits from arm swing, as it drives and shapes lower limb muscle activity in healthy participants as well as patients suffering from neurological impairment. Also during gait initiation, arm swing instructions were found to facilitate...

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Weersink JB, Maurits NM, Halliday DM, et al. Time-dependent directional intermuscular coherence analysis reveals that forward and backward arm swing equally drive the upper leg muscles during gait initiation. Gait Posture. 2021;92:290-293doi: 10.1016/j.gaitpost.2021.11.036.
Weersink, J. B., Maurits, N. M., Halliday, D. M., & de Jong, B. M. (2021). Time-dependent directional intermuscular coherence analysis reveals that forward and backward arm swing equally drive the upper leg muscles during gait initiation. Gait & posture, 92290-293. https://doi.org/10.1016/j.gaitpost.2021.11.036
Weersink, Joyce B, et al. "Time-dependent directional intermuscular coherence analysis reveals that forward and backward arm swing equally drive the upper leg muscles during gait initiation." Gait & posture vol. 92 (2021): 290-293. doi: https://doi.org/10.1016/j.gaitpost.2021.11.036
Weersink JB, Maurits NM, Halliday DM, de Jong BM. Time-dependent directional intermuscular coherence analysis reveals that forward and backward arm swing equally drive the upper leg muscles during gait initiation. Gait Posture. 2021 Nov 29;92:290-293. doi: 10.1016/j.gaitpost.2021.11.036. Epub 2021 Nov 29. PMID: 34896841.
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Demographic differences in performance validity test failure.

Applied neuropsychology. Adult

Braun SE, Fountain-Zaragoza S, Halliday CA, Horner MD.
PMID: 34428386
Appl Neuropsychol Adult. 2021 Aug 24;1-9. doi: 10.1080/23279095.2021.1958814. Epub 2021 Aug 24.

OBJECTIVE: The present study investigated demographic differences in performance validity test (PVT) failure in a Veteran sample.METHOD: Data were extracted from clinical neuropsychological evaluations. Only veterans who identified as men, as either European American/White (EA) or African American/Black (AA)...

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Braun SE, Fountain-Zaragoza S, Halliday CA, et al. Demographic differences in performance validity test failure. Appl Neuropsychol Adult. 2021;1-9doi: 10.1080/23279095.2021.1958814.
Braun, S. E., Fountain-Zaragoza, S., Halliday, C. A., & Horner, M. D. (2021). Demographic differences in performance validity test failure. Applied neuropsychology. Adult, 1-9. https://doi.org/10.1080/23279095.2021.1958814
Braun, Sarah Ellen, et al. "Demographic differences in performance validity test failure." Applied neuropsychology. Adult vol. (2021): 1-9. doi: https://doi.org/10.1080/23279095.2021.1958814
Braun SE, Fountain-Zaragoza S, Halliday CA, Horner MD. Demographic differences in performance validity test failure. Appl Neuropsychol Adult. 2021 Aug 24;1-9. doi: 10.1080/23279095.2021.1958814. Epub 2021 Aug 24. PMID: 34428386.
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Integrated in silico and experimental assessment of disease relevance of PCDH19 missense variants.

Human mutation

Pham DH, Pitman MR, Kumar R, Jolly LA, Schulz R, Gardner AE, de Nys R, Heron SE, Corbett MA, Kothur K, Gill D, Rajagopalan S, Kolc KL, Halliday BJ, Robertson SP, Regan BM, Kirsch HE, Berkovic SF, Scheffer IE, Pitson SM, Petrovski S, Gecz J.
PMID: 34082468
Hum Mutat. 2021 Aug;42(8):1030-1041. doi: 10.1002/humu.24237. Epub 2021 Jun 15.

PCDH19 is a nonclustered protocadherin molecule involved in axon bundling, synapse function, and transcriptional coregulation. Pathogenic variants in PCDH19 cause infantile-onset epilepsy known as PCDH19-clustering epilepsy or PCDH19-CE. Recent advances in DNA-sequencing technologies have led to a significant increase...

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Pham DH, Pitman MR, Kumar R, et al. Integrated in silico and experimental assessment of disease relevance of PCDH19 missense variants. Hum Mutat. 2021;42(8):1030-1041doi: 10.1002/humu.24237.
Pham, D. H., Pitman, M. R., Kumar, R., Jolly, L. A., Schulz, R., Gardner, A. E., de Nys, R., Heron, S. E., Corbett, M. A., Kothur, K., Gill, D., Rajagopalan, S., Kolc, K. L., Halliday, B. J., Robertson, S. P., Regan, B. M., Kirsch, H. E., Berkovic, S. F., Scheffer, I. E., Pitson, S. M., Petrovski, S., & Gecz, J. (2021). Integrated in silico and experimental assessment of disease relevance of PCDH19 missense variants. Human mutation, 42(8), 1030-1041. https://doi.org/10.1002/humu.24237
Pham, Duyen H, et al. "Integrated in silico and experimental assessment of disease relevance of PCDH19 missense variants." Human mutation vol. 42,8 (2021): 1030-1041. doi: https://doi.org/10.1002/humu.24237
Pham DH, Pitman MR, Kumar R, Jolly LA, Schulz R, Gardner AE, de Nys R, Heron SE, Corbett MA, Kothur K, Gill D, Rajagopalan S, Kolc KL, Halliday BJ, Robertson SP, Regan BM, Kirsch HE, Berkovic SF, Scheffer IE, Pitson SM, Petrovski S, Gecz J. Integrated in silico and experimental assessment of disease relevance of PCDH19 missense variants. Hum Mutat. 2021 Aug;42(8):1030-1041. doi: 10.1002/humu.24237. Epub 2021 Jun 15. PMID: 34082468.
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Factors That Influence Non-Motor Impairment Across the ALS-FTD Spectrum: Impact of Phenotype, Sex, Age, Onset and Disease Stage.

Frontiers in neurology

Devenney EM, McErlean K, Tse NY, Caga J, Dharmadasa T, Huynh W, Mahoney CJ, Zoing M, Mazumder S, Dobson-Stone C, Kwok JB, Halliday GM, Hodges JR, Piguet O, Ahmed RM, Kiernan MC.
PMID: 34899567
Front Neurol. 2021 Nov 25;12:743688. doi: 10.3389/fneur.2021.743688. eCollection 2021.

No abstract available.

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Devenney EM, McErlean K, Tse NY, et al. Factors That Influence Non-Motor Impairment Across the ALS-FTD Spectrum: Impact of Phenotype, Sex, Age, Onset and Disease Stage. Front Neurol. 2021;12:743688doi: 10.3389/fneur.2021.743688.
Devenney, E. M., McErlean, K., Tse, N. Y., Caga, J., Dharmadasa, T., Huynh, W., Mahoney, C. J., Zoing, M., Mazumder, S., Dobson-Stone, C., Kwok, J. B., Halliday, G. M., Hodges, J. R., Piguet, O., Ahmed, R. M., & Kiernan, M. C. (2021). Factors That Influence Non-Motor Impairment Across the ALS-FTD Spectrum: Impact of Phenotype, Sex, Age, Onset and Disease Stage. Frontiers in neurology, 12743688. https://doi.org/10.3389/fneur.2021.743688
Devenney, Emma M, et al. "Factors That Influence Non-Motor Impairment Across the ALS-FTD Spectrum: Impact of Phenotype, Sex, Age, Onset and Disease Stage." Frontiers in neurology vol. 12 (2021): 743688. doi: https://doi.org/10.3389/fneur.2021.743688
Devenney EM, McErlean K, Tse NY, Caga J, Dharmadasa T, Huynh W, Mahoney CJ, Zoing M, Mazumder S, Dobson-Stone C, Kwok JB, Halliday GM, Hodges JR, Piguet O, Ahmed RM, Kiernan MC. Factors That Influence Non-Motor Impairment Across the ALS-FTD Spectrum: Impact of Phenotype, Sex, Age, Onset and Disease Stage. Front Neurol. 2021 Nov 25;12:743688. doi: 10.3389/fneur.2021.743688. eCollection 2021. PMID: 34899567; PMCID: PMC8656429.
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Flow Cytometry Measurement of Glucocerebrosidase Activity in Human Monocytes.

Bio-protocol

Hughes LP, Halliday GM, Dzamko N.
PMID: 33659542
Bio Protoc. 2020 Apr 05;10(7):e3572. doi: 10.21769/BioProtoc.3572. eCollection 2020 Apr 05.

Glucocerebrosidase (GCase) is an important enzyme for the metabolism of glycolipids. GCase enzyme deficiency is implicated in human disease and the efficient measurement of GCase activity is important for evaluating the efficacy of therapeutics targeting this enzyme. Existing approaches...

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Hughes LP, Halliday GM, Dzamko N. Flow Cytometry Measurement of Glucocerebrosidase Activity in Human Monocytes. Bio Protoc. 2020;10(7):e3572doi: 10.21769/BioProtoc.3572.
Hughes, L. P., Halliday, G. M., & Dzamko, N. (2020). Flow Cytometry Measurement of Glucocerebrosidase Activity in Human Monocytes. Bio-protocol, 10(7), e3572. https://doi.org/10.21769/BioProtoc.3572
Hughes, Laura P, et al. "Flow Cytometry Measurement of Glucocerebrosidase Activity in Human Monocytes." Bio-protocol vol. 10,7 (2020): e3572. doi: https://doi.org/10.21769/BioProtoc.3572
Hughes LP, Halliday GM, Dzamko N. Flow Cytometry Measurement of Glucocerebrosidase Activity in Human Monocytes. Bio Protoc. 2020 Apr 05;10(7):e3572. doi: 10.21769/BioProtoc.3572. eCollection 2020 Apr 05. PMID: 33659542; PMCID: PMC7842359.
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Showing 217 to 222 of 222 entries