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Dataset results
107 results for “Actuation”
BE Study of Albuterol Sulfate Inhalation Aerosol 90 mcg Per Actuation in Patients With Stable Mild Asthma
ClinicalTrials.gov study NCT06154304. IPD Sharing: NO. Countries: 1. Publications: 0.
A Study to Evaluate the Effect of Fluticasone/Formoterol Breath Actuated Inhaler (BAI) or Relvar® Ellipta® DPI on Ventilation Heterogeneity in Asthma
ClinicalTrials.gov study NCT02753712. IPD Sharing: Not stated. Countries: 5. Publications: 0.
The Actuate-CBC Study
ClinicalTrials.gov study NCT05917652. IPD Sharing: NO. Countries: 1. Publications: 0.
Reliability of a Top Mount Actuation Indicator With Levalbuterol MDI in Adult and Pediatric Subjects With Asthma or COPD
ClinicalTrials.gov study NCT00583986. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Breath-actuated Nebulizers in Acute COPD Exacerbations
ClinicalTrials.gov study NCT03985748. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Study to Compare Fluticasone /Formoterol Breath Actuated Inhaler (BAI) and Ultibro in Subjects With Fixed Airflow Obstruction and Elevated Eosinophils
ClinicalTrials.gov study NCT02693769. IPD Sharing: Not stated. Countries: 1. Publications: 0.
FoxO transcription factors actuate the formative pluripotency specific gene expression programme [ChIP-Seq]
GEO Series GSE253479. Mus musculus. 32 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Decoupling the Biochemical and Mechanical Effects of Muscle Exercise on Motor Neurons with 2.5D Actuating Matrices [240614Ram_RNA-seq]
GEO Series GSE281241. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Actuation Enhances Patterning in Human Neural Tube Organoids
GEO Series GSE154120. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
Intelligent Temporal Data Driven World Actuation in Ambient Environments Case Study: Anomaly Recognition and Assistance Provision in Smart Home
Abstract — A possible resident of smart home is an old person or an Alzheimer patient that should be assisted continuously for the rest of his life; however, normally this person desires to live independently at home. Typically, this person may forget sometimes completion of the activities; may realize the activities of daily living incorrectly, and may enter to dangerous states. In this context smart home project is proposed as an ambient intelligent environment, in which on one hand the resident is observed continuously through the embedded sensors, and on the other hand the resident is assisted automatically through the embedded electronically controllable actuators. In this work, we propose an approach to interpret the sensors’ observations and how to automatically reason in the required assistance. The result is provision of automated assistance for the smart home resident.
Decoupling the Biochemical and Mechanical Effects of Muscle Exercise on Motor Neurons with 2.5D Actuating Matrices
GEO Series GSE281242. Mus musculus. 38 samples. Type: Expression profiling by high throughput sequencing.
FoxO transcription factors actuate the formative pluripotency specific gene expression programme
GEO Series GSE253480. Mus musculus. 66 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Design and demonstration of hingeless pneumatic actuators inspired by plants
Open the record for dataset details and reuse information.
Heavy-Duty Electrically Actuated Quadruped Robot Exp. data
<p>数据解释格式可以参考 \url{https://github.com/mit-biomimetics/Cheetah-Software}</p>
A Study of 3 Doses of Tiotropium Hydrofluoralkane (HFA) Breath Actuated Inhaler (BAI), in Patients With Chronic Obstructive Pulmonary Disease
ClinicalTrials.gov study NCT02203474. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Prognostic Health-Management System Development for Electromechanical Actuators
Electro-mechanical actuators (EMAs) have been gaining increased acceptance as safety-critical actuation devices in the next generation of aircraft and spacecraft. The aerospace manufacturers are not ready, however, to completely embrace EMAs for all applications due to apprehension with regard to some of the more critical fault modes. This work aims to help address these concerns by developing and testing a prognostic health management system that diagnoses EMA faults and employs prognostic algorithms to track fault progression and predict the actuator remaining useful life. The diagnostic algorithm is implemented using a combined model-based and data-driven reasoner. The prognostic algorithm, implemented using Gaussian Process Regression, estimates the remaining life of the faulted component. The paper also covers the selection of fault modes for coverage and methods developed for fault injection. Validation experiments were conducted both in laboratory and flight conditions using the Flyable Electromechanical Actuator (FLEA) test stand. The FLEA allows test actuators to be subjected to realistic environmental and operating conditions, while providing the capability to safely inject and monitor propagation of various fault modes. The paper covers both diagnostic and prognostic, run-to-failure experiments, conducted in laboratory and flight conditions for several types of faults. The experiments demonstrated robust fault diagnosis on the selected set of component and sensor faults and high-accuracy predictions of failure time in prognostic scenarios.
Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators
Actuator systems are employed widely in aerospace, transportation and industrial processes to provide power to critical loads, such as aircraft control surfaces. They must operate reliably and accurately in order for the vehicle / process to complete successfully its designated mission. Incipient actuator failure conditions may severely endanger the operational integrity of the vehicle / process and compromise its mission. The ability to maintain a stable and credible operation, even in the presence of incipient failures, is of paramount importance to accomplish “must achieve” mission objectives. This paper introduces a novel methodology for the fault-tolerant design of critical subsystems, such as an ElectroMechanical Actuator (EMA), that takes advantage of on-line, real-time estimates of the Remaining Useful Life (RUL) or Time-to-Failure (TTF) of a failing component and reconfigures the available control authority by trading off system performance with control activity. The primary goal is to complete critical mission objectives within a time window dictated by prognostic algorithms so that the fault mode is accommodated and an acceptable level of performance maintained for the duration of the mission. The proposed fault-tolerant control design is mathematically rigorous, generic and applicable to a variety of application domains. An EMA is used to illustrate the efficacy of the proposed approach.
Airborne Electro-Mechanical Actuator Test Stand for Development of Prognostic Health Management Systems
With the advent of the next generation of aerospace systems equipped with fly-by-wire controls, electro- mechanical actuators (EMA) are quickly becoming components critical to safety of aerospace vehicles. Being relatively new to the field, however, EMA lack the knowledge base compared to what is accumulated for the more traditional actuator types, especially when it comes to fault detection and prognosis. Scarcity of health monitoring data from fielded systems and prohibitive costs of carrying out real flight tests create the need to build high-fidelity system models and design affordable yet realistic experimental setups. The objective of this work is to build an EMA test stand that, unlike current laboratory stands typically weighing in excess of one metric ton, is portable enough to be easily placed aboard a wide variety of aircraft. This stand, named the FLEA (for Flyable Electro- mechanical Actuator test stand), allows testing EMA fault detection and prognosis technologies in flight environment, thus substantially increasing their technology readiness level – all without the expense of dedicated flights, as the stand is designed to function as a non-intrusive secondary payload. No aircraft modifications are required and data can be collected during any available flight opportunity: pilot currency flights, ferry flights, or flights dedicated to other experiments. The stand is currently equipped with a prototype version of NASA Ames developed prognostic health management system with models aimed at detecting and tracking several fault types. At this point the team has completed test flights of the stand on US Air Force C-17 aircraft and US Army UH-60 helicopters and more experiments, both laboratory and airborne, are planned for the coming months.
Experimental and Analytical Development of a Health Management System for Electro-Mechanical Actuators
Expanded deployment of Electro-Mechanical Actuators (EMAs) in critical applications has created much interest in EMA Prognostic Health Management (PHM), a key enabling technology of Condition Based Maintenance (CBM). As such, Impact Technologies, LLC is collaborating with the NASA Ames Research Center to perform a number of research efforts in support of NASA’s Integrated Vehicle Health Management (IVHM) initiatives. These efforts have combined experimental test stand development, laboratory seeded fault testing, and physical model-based health monitoring in a comprehensive PHM system development strategy. This paper discusses two closely related EMA research programs being conducted by Impact and NASA Ames. The first of these efforts resulted in the creation of an electro-mechanical actuator test stand for the Prognostics Center of Excellence at the NASA Ames Research Center. The second effort is ongoing and is utilizing physics-based modeling techniques to develop an algorithm and software package toolset for PHM of aircraft EMA systems using a hybrid (virtual sensor) approach.
A Systems Engineering Approach to Electro-Mechanical Actuator Diagnostic and Prognostic Development
The authors have formulated a Comprehensive Systems Engineering approach to Electro-Mechanical Actuator (EMA) Prognostics and Health Management (PHM) system development. The approach implements software tools to integrate simulation-based design principles and dynamic failure mode and effects analysis. It also provides automated failure mode insertion and propagation analysis, PHM algorithm design and verification, full dynamic simulations, code generation, and validation testing. This process aims to produce the appropriate fault detection and prediction algorithms needed for successful development of an EMA PHM system. As an initial use case, the developed approach was implemented to develop and validate a model-based, virtual sensor software package for landing gear EMA PHM. This effort included creation of a dynamic, component-level system model that can be used to virtually sense parameters, detect degradation, isolate probable root cause, and assess severity. This model is also used as a virtual test bed for performing fault insertion analysis to address algorithm development and experimental prioritization. The developed model was validated using data from a test stand, which was specifically constructed for EMA PHM development. The model-based predictor was then coupled with failure mode diagnostics, advanced knowledge fusion, and failure mode progression algorithms to form a complete prototype EMA PHM solution. Reproduced by kind permission of MFPT (www.mfpt.org).
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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.