16 research outputs found

    Reactive direction control for a mobile robot: A locust-like control of escape direction emerges when a bilateral pair of model locust visual neurons are integrated

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    Locusts possess a bilateral pair of uniquely identifiable visual neurons that respond vigorously to the image of an approaching object. These neurons are called the lobula giant movement detectors (LGMDs). The locust LGMDs have been extensively studied and this has lead to the development of an LGMD model for use as an artificial collision detector in robotic applications. To date, robots have been equipped with only a single, central artificial LGMD sensor, and this triggers a non-directional stop or rotation when a potentially colliding object is detected. Clearly, for a robot to behave autonomously, it must react differently to stimuli approaching from different directions. In this study, we implement a bilateral pair of LGMD models in Khepera robots equipped with normal and panoramic cameras. We integrate the responses of these LGMD models using methodologies inspired by research on escape direction control in cockroaches. Using ‘randomised winner-take-all’ or ‘steering wheel’ algorithms for LGMD model integration, the khepera robots could escape an approaching threat in real time and with a similar distribution of escape directions as real locusts. We also found that by optimising these algorithms, we could use them to integrate the left and right DCMD responses of real jumping locusts offline and reproduce the actual escape directions that the locusts took in a particular trial. Our results significantly advance the development of an artificial collision detection and evasion system based on the locust LGMD by allowing it reactive control over robot behaviour. The success of this approach may also indicate some important areas to be pursued in future biological research

    Assessment of dust size retrievals based on AERONET: a case study of radiative closure from visible‐near‐infrared to thermal infrared

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    Super‐coarse dust particles (diameters >10 μm) are evidenced to be more abundant in the atmosphere than model estimates and contribute significantly to the dust climate impacts. Since super‐coarse dust accounts for less dust extinction in the visible‐to‐near‐infrared (VIS‐NIR) than in the thermal infrared (TIR) spectral regime, they are suspected to be underestimated by remote sensing instruments operates only in VIS‐NIR, including Aerosol Robotic Networks (AERONET), a widely used data set for dust model validation. In this study, we perform a radiative closure assessment using the AERONET‐retrieved size distribution in comparison with the collocated Atmospheric Infrared Sounder (AIRS) TIR observations with comprehensive uncertainty analysis. The consistently warm bias in the comparisons suggests a potential underestimation of super‐coarse dust in the AERONET retrievals due to the limited VIS‐NIR sensitivity. An extra super‐coarse mode included in the AERONET‐retrieved size distribution helps improve the TIR closure without deteriorating the retrieval accuracy in the VIS‐NIR

    Adaptations Made to Pediatric Consultation-Liaison Psychiatry Service Delivery During the Early Months of the COVID-19 Pandemic: A North American Multisite Survey.

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    BackgroundThe COVID-19 pandemic led to rapid changes in clinical service delivery across hospital systems nationally. Local realities and resources were key driving factors impacting workflow changes, including for pediatric consultation-liaison psychiatry service (PCLPS) providers.ObjectiveThis study aims to describe the early changes implemented by 22 PCLPSs from the United States and Canada during the COVID-19 pandemic. Understanding similarities and differences in adaptations made to PCLPS care delivery can inform best practices and future models of care.MethodsA 20-point survey relating to PCLPS changes during the COVID-19 pandemic was sent to professional listservs. Baseline hospital demographics, hospital and PCLPS workflow changes, and PCLPS experience were collected from March 20 to April 28, 2020, and from August 18 to September 10, 2020. Qualitative data were collected from responding sites. An exploratory thematic analysis approach was used to analyze the qualitative data that were not dependent on predetermined coding themes. Descriptive statistics were calculated using Microsoft Excel.ResultsTwenty-two academic hospitals in the United States and Canada responded to the survey, with an average of 303 beds/hospital. Most respondents (18/22) were children's hospitals. Despite differences in regional impact of COVID-19 and resource availability, there was significant overlap in respondent experiences. Restricted visitation to one caregiver, use of virtual rounding, ongoing trainee involvement, and an overall low number of COVID-positive pediatric patients were common. While there was variability in PCLPS care delivery occurring virtually versus in person, all respondents maintained some level of on-site presence. Technological limitations and pediatric provider preference led to increased on-site presence.ConclusionsTo our knowledge, this is the first multicenter study exploring pandemic-related PCLPS changes in North America. Findings of this study demonstrate that PCLPSs rapidly adapted to COVID-19 realities. Common themes emerged that may serve as a model for future practice. However, important gaps in understanding their effectiveness and acceptability need to be addressed. This multisite survey highlights the importance of establishing consensus through national professional organizations to inform provider and hospital practices

    Panel 1 – Contemporary Culture and Conflict

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    Moderator: Dr. Jonathan DeSouza, Faculty of Music Panelists: Claire Burrows, Library & Information Science; Alison Butler, Music Education; Melanie McPhail, La

    Corticosteroid-Related Psychiatric Complications In the Treatment of Hodgkin’s Lymphoma in an Adolescent

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    We present the case of an adolescent with Hodgkin’s Lymphoma, who developed symptoms of psychosis and mania during his treatment. Psychiatric side-effects of corticosteroids in the adult population have long been recognized and documented. A wide range of mental status changes have been reported (Francois Sirois, 2003). However, case reports documenting psychosis or mania related to corticosteroid use in children are rare. Psychotic symptoms developing during the treatment of asthma have been described, sometimes with mood disorder symptoms (French et al, 2003, Couturier et al, 2001, and Dawson and Carter, 1998). Beshay and Pumariega (1998) presented the case of a boy treated for ulcerative colitis, who developed depressive and psychotic symptoms. There are also published cases of adolescents with Acute Lymphoblastic Leukemia developing psychotic symptoms during treatment with corticosteroids (Ducore et al, 1983, Kramer and Cottingham, 1999, Sutor et al, 1996). Our case adds to the literature involving steroid-induced psychosis and mania in an adolescent with cancer

    EGFR and EGFRvIII analysis in glioblastoma as therapeutic biomarkers

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    Copyright © 2014 The Neurosurgical Foundation. Introduction. EGFR and EGFRvIII analysis is of current interest because of new EGFRvIII vaccine trials opened in the UK. EGFR activation promotes cellular proliferation via activation of MAPK and PI3K-Akt pathways. EGFRvIII is the most common variant resulting from an in-frame deletion of 801bp, leading to constitutively active EGFR. Method. 51 glioblastoma samples from a cohort of 50 patients were tested for EGFR amplification by FISH and immunohistochemistry and EGFRvIII expression by reverse-transcriptase PCR (RT-PCR), and immunohistochemistry. EGFR and EGFRvIII expression was compared with Overall Survival in the cohort. Results. Overall 22/51 samples (43%) were positive for EGFR, 16/51 (31%) were positive for EGFRvIII and 13/51 (25%) were positive for both. 9/51 cases (18%) were positive for EGFR alone, and 3/51 (6%) were positive for EGFRvIII alone. Of the EGFR positive cases, 22/51 (43%) were positive by FISH, 24/51 (47%) were positive by IHC and 2/51 (4%) were discrepant between methods (positive by IHC but non-amplified by FISH). Of the EGFRvIII positive cases, 16/51 (31%) were positive by RT-PCR, 17/51 (33%) were positive by IHC and 1/51 (2%) sample was discrepant (positive by IHC but not by RT-PCR). Neither EGFRvIII or EGFR are predictive of overall survival in this cohort. Conclusion. In our cohort, 25/51 (49%) of GBM showed EGFR alterations, including 16/51 (31%) with EGFRvIII. There was high concordance between IHC and FISH (96%) and IHC and RT-PCR (98%) as diagnostic methods. Neither EGFR or EGFRvIII is predictive of overall survival in this cohort. These results are key for selecting patients for novel individualised anti-EGFR therapies

    Mapping the human genetic architecture of COVID-19

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    The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3–7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease
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