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Dataset results
17 results for “Control effort”
Data from: Selectivity of invasive species suppression efforts influences control efficacy
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Estimating human joint moments unifies exoskeleton control and reduces user effort
<p>Robotic lower-limb exoskeletons can augment human mobility, but current systems require extensive, context-specific considerations, limiting their real-world viability. Here, we present a unified exoskeleton control framework that autonomously adapts assistance based on instantaneous user joint moment estimates from a temporal convolutional network (TCN). When deployed on our hip exoskeleton, the TCN achieved an average RMSE of 0.142 ± 0.021 Nm/kg and R<sup>2</sup> of 0.840 ± 0.045 across 35 ambulatory conditions without any subject-specific calibration. Further, the unified controller significantly reduced user metabolic cost and lower-limb positive work during level ground and incline walking compared to walking without wearing the exoskeleton (P < 0.05). This advancement bridges the gap between in-lab exoskeleton technology and real-world human ambulation, making exoskeleton control technology viable for a broad community.</p>
Dataset for attitude measures towards Dengue control efforts with the potential of digital technology during COVID-19
<div class="J0lOec"><span class="VIiyi"><span class="JLqJ4b ChMk0b"><span class="Q4iAWc">This data contains a questionnaire and a data set of structural equation modeling for Attitude Towards Dengue Control Efforts with the Potential of Digital Technology.</span></span> <span class="JLqJ4b ChMk0b"><span class="Q4iAWc">The variables are grouped into six namely the need for digital information systems, perceptions of being threatened with dengue, the benefits of dengue control programs, program constraints on environmental factors and attitudes in dengue control.</span></span> <span class="JLqJ4b ChMk0b"><span class="Q4iAWc">Data was collected online using Google Forms.</span></span></span></div>
Using Peer Mentors to Support PACT Team Efforts to Improve Diabetes Control
ClinicalTrials.gov study NCT01651117. IPD Sharing: YES. Countries: 1. Publications: 1.
Estimating human joint moments unifies exoskeleton control and reduces user effort
Open the record for dataset details and reuse information.
Dataset for attitude measures towards Dengue control efforts with the potential of digital technology during COVID-19
Open the record for dataset details and reuse information.
Lee and Daunizeau choice data from: Trading mental effort for confidence in the metacognitive control of value-based decision-making
<p>Why do we carefully ponder some decisions, but not others? In this work, we derive a computational model of the metacognitive control of decisions or MCD. In brief, we assume that fast and automatic processes first provide an initial (and largely uncertain) representation of options' values, yielding prior estimates of decision difficulty. This uncertain value representation is then refined by deploying cognitive (e.g., attentional, mnesic) resources, the allocation of which is controlled by an effort-confidence tradeoff. Importantly, the anticipated benefit of allocating resources varies in a decision-by-decision manner according to the prior estimate of decision difficulty. The ensuing MCD model predicts choices, response time, subjective feeling of effort, choice confidence, and choice-induced preference change. We test these predictions in a systematic manner, using a dedicated behavioral paradigm. Our results provide a quantitative link between mental effort, choice confidence, and preference reversals, which could inform interpretations of related neuroimaging findings.</p>
Brain Criticality, Oculomotor Control, and Cognitive Effort
ClinicalTrials.gov study NCT06344559. IPD Sharing: NO. Countries: 1. Publications: 2.
Comparison of Guiding Sedation Level by Respiratory Effort Versus Usual Care in Mechanically Ventilated Patients: A Randomized Controlled Trial (EFFORT-GUIDE Trial 2)
ClinicalTrials.gov study NCT06242236. IPD Sharing: NO. Countries: 1. Publications: 16.
Lee and Daunizeau choice data from: Trading mental effort for confidence in the metacognitive control of value-based decision-making
Open the record for dataset details and reuse information.
Behavioral Differences in Effortful Control
ClinicalTrials.gov study NCT01852344. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: From hand to mouth: monkeys require greater effort in motor preparation for voluntary control of vocalization than for manual actions
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Functional Differences in Effortful Control
ClinicalTrials.gov study NCT01993147. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of a Pilot Program to Introduce Cholera Vaccine in Haiti as Part of Global Cholera Control Efforts
ClinicalTrials.gov study NCT02864433. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Cervical Motor Control Exercises in Strength and Perception of Effort in Electronic Sports Players
ClinicalTrials.gov study NCT04258124. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Inspiratory Effort and Respiratory Mechanics in Spontaneously Breathing Patients With Acute Exacerbation of Idiopathic Pulmonary Fibrosis: a Matched Control Study
ClinicalTrials.gov study NCT05313672. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Markov Modeling of Component Fault Growth Over A Derived Domain of Feasible Output Control Effort Modifications
This paper introduces a novel Markov process formulation of stochastic fault growth modeling, in order to facilitate the development and analysis of prognostics-based control adap- tation. A metric representing the relative deviation between the nominal output of a system and the net output that is ac- tually enacted by an implemented prognostics-based control routine, will be used to define the action space of the formu- lated Markov process. The state space of the Markov pro- cess will be defined in terms of an abstracted metric repre- senting the relative health remaining in each of the system’s components. The proposed formulation of component fault dynamics will conveniently relate feasible system output per- formance modifications to predictions of future component health deterioration.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.