1,355,591 research outputs found
Agent-Based Modelling and Sensitivity Analysis by Experimental Design and Metamodelling: An Application to Modelling Regional Structural Change
No full textThis paper presents the application of the sensitivity analysis techniques Design of Experiments (DOE) and metamodelling to the agent-based model AgriPoliS, which is a spatial and dynamic simulation model of regional structural change. DOE and metamodelling provide a more systematic analysis of results of complex simulation models. When summarising the results, it becomes clear that interest rates, technical change and managerial ability influence average economic land rent the most.simulation, design of experiments, metamodelling, structural change, Research and Development/Tech Change/Emerging Technologies, C9, C15,
Happe Nee Imbert, Mrs Paultje, [No Service Number]
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/390317Surname: HAPPE NEE IMBERT. Given Name(s) or Initials: MRS PAULTJE. Military Service Number or Last Known Location: [No Registration Number]. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 51691.215086
Item: [2016.0049.22610] "Happe Nee Imbert, Mrs Paultje, [No Service Number]
Moderne und traditionelle Gitarrenmusik des 20. Jahrhunderts Werke von Brouwer, Ravel, Villa-Lobos u. a.
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Excessive daytime sleepiness and sleep disturbances in patients with neurological diseases - Epidemiology and management
No full textUp to 12% of the general population experience excessive daytime sleepiness (EDS), with increasing prevalence in the elderly. EDS may lead to cognitive impairment, resulting in inattentiveness, poor memory, mood disorders and an increased risk of accidents. As a result, quality of life is reduced in most patients with EDS as well as in their caregiving spouses. There are a variety of causes leading to EDS, including CNS pathology, neurological dysfunction, associated sleep disorders with insufficient or fragmented sleep, and drug therapy. Since EDS accompanies many neurological disorders, such as neurodegenerative and neuromuscular diseases, neurologists should be familiar with the diagnosis, its major causes and with treatment, options. The main focus of this article is on movement disorders, neuromuscular diseases, multiple sclerosis, dementia, cerebrovascular diseases, head and brain trauma, pain and epilepsy. General managment strategies for EDS in all these neurological diseases include sleep hygiene aspects such as extensions of noctural time in bed and frequent naps during the day. Pharmacological treatment is generally achieved with stimulants such as amphetamine, methylphenidate and pemoline, or newer compounds such as modafinil
Representing intentions in self and other: studies of autism and typical development
No full textTwo experiments were conducted to explore the extent to which individuals with Autism Spectrum Disorder (ASD), as well as young typically developing (TD) children, are explicitly aware of their own and others’ intentions. In Experiment 1, participants with ASD were significantly less likely than age- and ability-matched comparison participants to correctly recognise their own knee-jerk reflex movements as unintentional. Performance on this knee-jerk task was associated with performance on measures of false belief understanding, independent of age and verbal ability, in both participants with ASD and TD children.
In Experiment 2, participants with ASD were significantly less able than comparison participants to correctly recognise their own or another person’s mistaken actions as unintended, in a ‘Transparent Intentions’ task (Russell & Hill, 2001; Russell, Hill & Franco, 2001). Performance on aspects of the Transparent Intentions task was associated with performance on measures of false belief understanding, independent of age and verbal ability, in both participants with ASD and TD children.
This study suggests that individuals with ASD have a limited awareness of their own and others’ intentions and that such awareness requires a meta-representational Theory of Mind
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The Harvard Automated Processing Pipeline for Electroencephalography (HAPPE): Standardized Processing Software for Developmental and High-Artifact Data
No full textElectroenchephalography (EEG) recordings collected with developmental populations present particular challenges from a data processing perspective. These EEGs have a high degree of artifact contamination and often short recording lengths. As both sample sizes and EEG channel densities increase, traditional processing approaches like manual data rejection are becoming unsustainable. Moreover, such subjective approaches preclude standardized metrics of data quality, despite the heightened importance of such measures for EEGs with high rates of initial artifact contamination. There is presently a paucity of automated resources for processing these EEG data and no consistent reporting of data quality measures. To address these challenges, we propose the Harvard Automated Processing Pipeline for EEG (HAPPE) as a standardized, automated pipeline compatible with EEG recordings of variable lengths and artifact contamination levels, including high-artifact and short EEG recordings from young children or those with neurodevelopmental disorders. HAPPE processes event-related and resting-state EEG data from raw files through a series of filtering, artifact rejection, and re-referencing steps to processed EEG suitable for time-frequency-domain analyses. HAPPE also includes a post-processing report of data quality metrics to facilitate the evaluation and reporting of data quality in a standardized manner. Here, we describe each processing step in HAPPE, perform an example analysis with EEG files we have made freely available, and show that HAPPE outperforms seven alternative, widely-used processing approaches. HAPPE removes more artifact than all alternative approaches while simultaneously preserving greater or equivalent amounts of EEG signal in almost all instances. We also provide distributions of HAPPE's data quality metrics in an 867 file dataset as a reference distribution and in support of HAPPE's performance across EEG data with variable artifact contamination and recording lengths. HAPPE software is freely available under the terms of the GNU General Public License at https://github.com/lcnhappe/happe
Odour measurement campaign on the landfill site of Happe-Chapois. Odour annoyance assessment.
No full textThe study is made in the frame of a follow-up monitoring of all landfill sites in Wallonia, initiated by the Ministry of Environment and managed by ISSeP. The present report concerns the site of Happe-Chapois. Besides the usual field inspection technique, the research group used GC-MS analysis to determine the chemical composition of the atmosphere over the tipping area.Campagne de mesure de la nuisance olfactive générée par le CET de Happe-Chapoi
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