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1,733 results for “Fatigue”
REVITALIZE: A Telehealth Intervention for Women With Advanced Ovarian Cancer and PARP Inhibitor-Related Fatigue
ClinicalTrials.gov study NCT04525183. IPD Sharing: YES. Countries: 1. Publications: 1.
Feasibility of Light Therapy for Fatigue N-of-1 Trials
ClinicalTrials.gov study NCT04707846. IPD Sharing: YES. Countries: 1. Publications: 5.
Cerebral microstructural alterations in Post-COVID-condition are related to cognitive impairment, olfactory dysfunction, and fatigue
Open the record for dataset details and reuse information.
Quantifying Fatigue-Damage and Failure-Precursors using Ultrasonic Coda Wave Interferometry
<p>Data sets for the Publication "Quantifying Fatigue-Damage and Failure-Precursors using Ultrasonic Coda Wave Interferometry".</p>
Data from: Mechanical fatigue in microtubules
<p><span>Mechanical failure of biological nanostructures due to sustained force application has been studied in great detail. In contrast, fatigue failure arising from repeated application of subcritical stresses has received little attention despite its prominent role in engineering and potentially biology. Here, taxol-stabilized microtubules are up to 256 times bent into sinusoidal shapes of varying wavelength and the frequency of breaking events are observed. These experiments allow the calculation of fatigue life parameters for microtubules. Repeated buckling due to 12.5% compression – equal to the compression level experienced by microtubules in contracting cardiomyocytes – results in failure after in average 5 million cycles, whereas at 20% compression failure occurs after in average one thousand cycles. The fatigue strength (Basquin) exponent B is estimated as -0.06. </span></p>
KupferDigital mechanical testing datasets: Stress relaxation and low-cycle fatigue (LCF) tests
<p><span>The Kupfer<em>Digital</em> project deals with the development of a data ecosystem for digital materials research on the basis of ontology-based digital representations of copper and copper alloys. This document provides exemplary mechanical testing datasets for training the developed Kupfer<em>Digital</em> infrastructures. Different types of cast copper alloys were provided for this research and their mechanical testing (stress relaxation and low-cycle fatigue) was performed in the accredited materials testing laboratory, while the test results were reported according to the DIN/ISO standards and attached with the maximum possible metadata about the sample history, equipment, and calibration. The attached content file consisted of the obtained primary raw testing data as well as the secondary datasets of these tests containing the detailed metadata of mechanical testing methods. Such test data files are processed by the Kupfer<em>Digital</em> digital tools to be converted to standardized machine-readable data files.</span></p>
Supplemental Material to Doctoral Thesis "Engineering approach for predicting tunneling crack initiation in trailing-edge adhesive joints of wind turbine blades under mechanical fatigue and thermal residual stresses"
<p>This set supplements the figure data to the doctoral thesis "Engineering approach for predicting tunneling crack initiation in trailing-edge adhesive joints of wind turbine blades under mechanical fatigue and thermal residual stresses", DOI: <a href="https://doi.org/10.14279/depositonce-19144">10.14279/depositonce-19144</a></p>
Compassion Fatigue and Compassion Satisfaction among Registered Nurses Caring for Cancer Patients: An Explorative Survey
<p>Compassion fatigue is a complex phenomenon, increasingly studied by health services. In addition to the analysis of the phenomenon, studies also consider the factors that influence the satisfaction deriving from nursing work, characterized by the compassion inherent in the relationship with the patient, in addition to the associated fatigue and the consequent risk of Burnout. . The aim of this study, conducted at the IOV - Veneto Oncology Institute in Padua, is to describe Compassion Fatigue and Compassion Satisfaction in nurses working in oncology, where the work requires a strong degree of sensitivity. An exploratory cross-sectional survey was conducted on a convenience sample of nurses from homogeneous medical and surgical areas who work with cancer patients. A validated Italian version of the Professional Quality of Life Scale: Compassion Satisfaction and Fatigue was applied. Socio-demographic and professional classification variables were also recorded.</p> <p> </p>
Full-field displacements and strains obtained by digital image correlation during fatigue crack growth experiments
<p>This data publication contains full-field displacements and strains obtained by 3D digital image correlation (DIC) using a GOM Aramis 12M system including three fatigue crack propagation (fcp) experiments of AA2024-T3 aluminium sheet material.</p> <p>The repository consists of three datasets of different experiments named </p> <ul> <li>S<sub>950,1.6 </sub>- MT950 specimen, 1.6 mm sheet thickness, load ratios R=0.3, 1.0</li> <li>S<sub>160,2.0 </sub>- MT160 specimen, 2.0 mm sheet thickness, load ratios R=0.1, 0.25, 0.5, 0.75, 1.0</li> <li>S<sub>160,4.7 </sub>- MT160 specimen, 4.7 mm sheet thickness, load ratios R=0.1, 0.25, 0.5, 0.75, 1.0</li> </ul> <p>where S<sub>w,t</sub> denotes a middle tension (MT) specimen with width w and thickness t. The nodal DIC measurements at different times during the experiments are provided as .txt files we call <em>"nodemaps" </em>and stored in subfolders "<strong>Nodemaps</strong>". Each <em>nodemap</em> consists of a header containing meta data information like a running number (current stage index) or the applied force, followed by the nodal displacements and strains in tabular form. Additionally, the dataset S<sub>160,4.7</sub> contains crack path and crack tip labels for each nodemap in the subfolder "<strong>GroundTruth</strong>". The ground truth is provided as arrays of size 256x256. Each pixel of the array contains the label "2" for the class "crack tip", "1" for the class "crack path", or "0" for the class "background". These labels were created in a semi-manual fashion and can be used for machine learned crack detection using supervised training.</p> <p>These datasets were recently used to evaluate neural attention of convolutional neural networks trained on fatigue crack tip detection in <a href="https://www.nature.com/articles/s41598-022-13275-1">Melching et al. (Sci Rep, 2022)</a>. Additional guidance on data loading and usage can also be found at <a href="https://github.com/dlr-wf/explainable-crack-tip-detection">https://github.com/dlr-wf/explainable-crack-tip-detection</a>.</p> <p>The experiments S<sub>160,2.0</sub> and S<sub>160,4.7 </sub>were conducted and analysed by <a href="https://doi.org/10.1111/ffe.13433">Strohmann et al. (FFEMS, 2021)</a>.</p> <p>The experiment S<sub>950,1.6</sub> was conducted and analysed by <a href="https://doi.org/10.1111/ffe.13335">Breitbarth et al. (FFEMS, 2020)</a>.</p>
COVID-19-related fatigue: cognitive profiles and multidomain complaints at 12 months follow-up
<p>Cognitive deficits were often reported during the acute and post-acute stages of severe COVID-19 and were often, but not always, associated with signs of brain damage. Population-wide surveys highlighted the need for investigations into the nature, the severity and the evolution of cognitive, behavioural and psychiatric deficits. In this observational study, we describe the outcome at 12 months after severe COVID-19 involving intensive care unit stay and critical chronic illness in six patients, who had no history of prior brain dysfunction. A pervading mental and physical fatigue was consistently reported as well as numerous multidomain complaints, which affect to a certain extent everyday life, and for some of the patients a certain degree of neurobehavioural (apathy) and/or psychiatric (anxiety) dysfunction. Standardized neuropsychological tests revealed for 4 of the 6 patients the occurrence relatively isolated of cognitive dysfunction or performance at the lower limit of the norm in some, but not all attentional, executive and/or working memory tests. Somatic scales highlighted the presence of dyspnoea, muscle weakness, an olfactory disorder and/or minor sleep problems in some but not all patients.</p>
Outcome of severe COVID-19: spotlight on fatigue, fatiguability, multidomain complaints and pattern of cognitive deficits in a case series without prior brain dysfunction and without COVID-19-related stroke and/or cardiac arrest
<p>Outcome of severe COVID-19: spotlight on fatigue, fatiguability, multidomain complaints and pattern of cognitive deficits in a case series without prior brain dysfunction and without COVID-19-related stroke and/or cardiac arrest<br> Valérie Beaud1, Sonia Crottaz-Herbette1, Vincent Dunet2, Jean-François Knebel1, Pierre-Alexandre Bart3, Stephanie Clarke1<br> 1 Service of Neuropsychology and Neurorehabilitation, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland<br> 2 Service of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland<br> 3 Service of Internal Medicine, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland<br> ABSTRACT<br> Background: Cognitive deficits were often reported during the acute and post-acute stages of severe COVID-19 and were often, but not always, associated with signs of brain damage. Population-wide surveys highlighted the need for investigations into the nature, the severity and the evolution of cognitive, behavioural and psychiatric deficits.<br> Case presentation: We report the outcome at 12 months after severe COVID-19 involving intensive care unit stay and mechanical ventilation in six patients. None of the patients had history of prior brain dysfunction and none sustained stroke and/or cardiac arrest during COVID-19. A pervading mental and physical fatigue was consistently reported as well as numerous multidomain complaints, which affect to some extend everyday life, and for some of the patients a mental fatiguability, a certain degree of neurobehavioural (apathy) and/or psychiatric (anxiety) dysfunction. Standardized neuropsychological tests revealed for 4 of the 6 patients the occurrence relatively isolated of cognitive dysfunction or performance at the lower limit of the norm in some, but not all attentional, executive and/or working memory tests. Somatic scales highlighted the presence of dyspnoea, muscle weakness, olfactory disorder and/or minor sleep problems in some but not all patients.<br> Conclusion: Fatigue, fatiguability, multidomain complaints, which affect to some extend everyday life, cognitive dysfunction or performance at the lower limit of the norm and a certain degree of neurobehavioural and/or psychiatric and/or somatic dysfunction can occur in the aftermath of severe COVID-19 even in the absence of neurological antecedents or of COVID-19-related stroke and/or cardiac arrest.</p>
High temperature properties incuding creep, creep crack growth rate and thermal fatigue linked with chemical composition of alloys derived from 1.4848 refractory stainless steels
<p>The following set of data results from cast alloys modifying chemical composition taking as reference 1.4848 alloy and getting sound samples that have been tested to calculate creep, creep crack growth rate and thermal fatigue data. </p>
Dataset for: Asphalt pavement fatigue crack severity classification by infrared thermography and deep learning
<p>This is the dataset for the following paper: </p> <p>Fangyu Liu, Jian Liu, and Linbing Wang. "Asphalt pavement fatigue crack severity classification by infrared thermography and deep learning." Automation in Construction 143 (2022): 104575. https://doi.org/10.1016/j.autcon.2022.104575.</p> <p>Data component:</p> <ul> <li>01-Visible images: this folder includes fully visible images</li> <li>02-Infrared images: this folder includes fully infrared images</li> <li>03-Fusion(50IRT) images: this folder includes fusion images (50% infrared + 50% visible)</li> <li>04-Ground truth: this folder includes ground truth (txt files): <ul> <li>00-Label_meaning.txt: the meaning of label number</li> <li>01-All_label.txt: Image, label (severity level)</li> <li>02-Train_label.txt: the training set: Image, Label (severity level)</li> <li>02-Test_label.txt: the test set: Image, Label (severity level)</li> </ul> </li> </ul>
Wearable Network for Multi-Level Physical Fatigue Prediction in Manufacturing Workers - Dataset
<p>This dataset contains data from 43 subjects following two authentic manufacturing protocols and their self-reported fatigue score. The system employs 6 wearable sensors to continuously track vital and locomotive signs from multiple body locations.</p> <p> </p> <p>The goal of the experiment is to predict fatigue trends in a subject, while they are asked to perform pre-defined manual tasks simulating a manufacturing environment, using data from soft, flexible, wearable sensors and a vision system. The tasks in this study are repetitive and physically exerting involving intricate steps taken in real manufacturing settings. The iterative nature of the tasks facilitates comparative analyses of distinct temporal segments to characterize fatigue. The two manufacturing tasks are (1) Task Composite: Composite Sheet Layup, and (2) Task Harnessing: Wire Harnessing. The task protocol requires the subject to wear sensors to monitor vital and locomotive signs continuously. Additionally, we incorporate a weighted vest to exaggerate the induced fatigue in a reasonable duration for the study to mimic a full shift for a manufacturing worker. Each task consists of two rest periods of 5 minutes each at the start and end, as well as five segments of physical tasks. On average, each task takes a total of 1 hour. Before each data segment, the subject fills out a survey form to indicate their current fatigues as per the Borg scale. </p>
Ex-situ X-ray computed tomography data from two regions of non-crimp fabric based fibre composite under fatigue loading
<p>Ex-situ X-ray CT fatigue testing data published with data in brief: </p> <p>Jespersen, K. M., Glud, J. A., Zangenberg, J., Hosoi, A., Kawada, H., & Mikkelsen, L. P. (2018). <em>Ex-situ X-ray computed tomography, tension clamp and in-situ transilluminated white light imaging data of non-crimp fabric based fibre composite under fatigue loading. Data in Brief.</em></p> <p>as a part of the below journal paper.</p> <p>Jespersen, K. M., Glud, J. A., Zangenberg, J., Hosoi, A., Kawada, H., & Mikkelsen, L. P. (2018). Uncovering the fatigue damage initiation and progression in uni-directional non-crimp fabric reinforced polyester composite. Composites Part A.</p> <p>If using the data, please refer to one of the two.</p>
Tension clamp X-ray CT data of non-crimp fabric based fibre composite under fatigue loading
<p>Tension clamp X-ray CT fatigue testing data published with data in brief: </p> <p>Jespersen, K. M., Glud, J. A., Zangenberg, J., Hosoi, A., Kawada, H., & Mikkelsen, L. P. (2018). <em>Ex-situ X-ray computed tomography, tension clamp and in-situ transilluminated white light imaging data of non-crimp fabric based fibre composite under fatigue loading. Data in Brief.</em></p> <p>as a part of the below journal paper.</p> <p>Jespersen, K. M., Glud, J. A., Zangenberg, J., Hosoi, A., Kawada, H., & Mikkelsen, L. P. (2018). Uncovering the fatigue damage initiation and progression in uni-directional non-crimp fabric reinforced polyester composite. Composites Part A.</p> <p>If using the data, please refer to one of the two.</p>
Determination of the geometric parameters of the defects based on the tomographically obtained data and their influence on the fatigue behavior of the S960 with laser cladded protective layers
<p>Original Figure 3: Geometric dimensions of the single-track deposition region of Aluminium-Bronze/S960</p>
Supplemental Material to Journal Article "Probabilistic Approach for the Fatigue Strength Prediction of Polymers"
<p>This set supplements the figure and table data to the article "Probabilistic Approach for the Fatigue Strength Prediction of Polymers", DOI: <a href="https://doi.org/10.2514/1.J060444">https://doi.org/10.2514/1.J060444</a></p> <p>The Python code to reproduce the results shown in the article is released as v1.0 of the MAMO toolbox for material models DOI:</p> <p>The latest code development can be cloned at <a href="https://github.com/mrosemeier/mamo">https://github.com/mrosemeier/mamo</a>.</p> <p> </p>
Basic data that show effect of irrigation on the cyclic fatigue resistance of the two rotary endodontic instruments.
<p>file contain Basic data that show effect of irrigation on the cyclic fatigue resistance of the two rotary endodontic instruments. </p>
Data for: Deformable hard tissue with high fatigue resistance in the hinge of bivalve Cristaria plicata
<p><span>The hinge of bivalve shells can sustain hundreds of thousands of repeating opening-and-closing valve motions throughout their lifetime. We study the hierarchical design of the mineralized tissue in the hinge of bivalve, <em>Cristaria plicata</em>, which endows the tissue with deformability and fatigue resistance, and underlies the repeating motion capability consequently. This folding fan-shaped tissue consists of radially aligned, brittle aragonite nanowires embedded in resilient matrix, and can translate external radial loads to circumferential deformation. The hard-soft complex microstructure can suppress stress concentration within the tissue. Coherent nanotwin boundaries along the longitudinal direction of the nanowires increase their resistance to bending fracture. The unusual biomineral, which exploits the inherent properties of each component through multiscale structural design, provides insights into the evolution of anti-fatigue structural materials.</span></p>
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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.