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Dataset results
153 results for “Behavioral analysis”
The Analysis of Physical, Physiological and Behavioral Data Collected From Sensors That Track the Mental Condition of Psychiatric Patients
ClinicalTrials.gov study NCT03714893. IPD Sharing: NO. Countries: 0. Publications: 0.
Life Span Analysis of Brain Development, Gene Expression and Behavioral Phenotypes in the Ts1Cje, Ts65Dn and Dp16 Mouse Models of Down Syndrome
GEO Series GSE99135. Mus musculus. 128 samples. Type: Expression profiling by array.
Gene network analysis reveals a role for striatal glutamatergic receptors in dysregulated risk-assessment behavior of autism mouse models
GEO Series GSE138539. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Integrative Analysis of ovarian cancer cell behavior reveals a miRNA signature associated with Intrinsic Platinum Resistance in ovarian cancer.
GEO Series GSE114920. Homo sapiens. 9 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Validation studies and multi-omics analysis of Zhx2 as a candidate quantitative trait gene underlying brain oxycodone metabolite (oxymorphone) levels and behavior
GEO Series GSE275965. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
Hippocampal gene expression analysis highlights Ly6a/Sca-1 as candidate gene for previously mapped novelty induced behaviors in mice
GEO Series GSE29289. Mus musculus. 37 samples. Type: Expression profiling by array.
How does servant leadership impact employee performance in a stateowned construction company? An analysis with organizational citizenship behavior as an intervening variable
<p>This study examines the pivotal role of leadership in organizational functioning, specifically examining its impact on enhancing employee performance. The research focuses on understanding and analyzing the influence of Servant Leadership on Employee Performance, with Organizational Citizenship Behavior (OCB) serving as the intervening variable. Employing a descriptive quantitative research design, the study encompasses employees from a State-Owned Construction Company in Jakarta, Indonesia. The research uses 100 samples. The research draws upon primary and secondary data derived from field studies and library research. Using path analysis, hypothesis testing, and the coefficient of determination as analytical tools, the findings reveal the significant influence of Servant Leadership (X) on both Employee Performance (Y) and Organizational Citizenship Behavior (Z) at 10.1% and 58.2%, respectively. Furthermore, OCB (Z) exhibits a noteworthy effect on Employee Performance (Y) at 7.6%, while Servant Leadership (X) significantly impacts Employee Performance (Y) through OCB (Z) at 27.9%. The research results show that servant leadership has a significant and positive impact on employee performance, both directly and through OCB, highlight the potential to enhance organizational outcomes even beyond the percentages demonstrated in this study.</p>
4D flow evaluation of blood non-Newtonian behavior in left ventricle flow analysis
<p>Dataset from Riva A, Sturla F, Caimi A, Pica S, Giese D, Milani P, Palladini G, Lombardi M, Redaelli A, Votta E. 4D flow evaluation of blood non-Newtonian behavior in left ventricle flow analysis. J Biomech. 2021 Apr 15;119:110308. doi: 10.1016/j.jbiomech.2021.110308. Epub 2021 Feb 8. PMID: 33631666.</p> <p>Abstract</p> <p>Blood is generally modeled as a Newtonian fluid, assuming a standard and constant viscosity; however, this assumption may not hold for the highly pulsatile and recirculating intracavitary flow in the left ventricle (LV), hampering the quantification of fluid dynamic indices of potential clinical relevance. Herein, we investigated the effect of three viscosity models on the patient-specific quantification of LV blood energetics, namely on viscous energy loss (EL), from 4D Flow magnetic resonance imaging: I) Newtonian with standard viscosity (3.7 cP), II) Newtonian with subject-specific hematocrit-dependent viscosity, III) non-Newtonian accounting for the effect of hematocrit and shear rate. Analyses were performed on 5 controls and 5 patients with cardiac light-chain amyloidosis. In Model II, viscosity ranged between 3.0 (-19%) and 4.3 cP (+16%), mildly deviating from the standard value. In the non-Newtonian model, this effect was emphasized: viscosity ranged from 3.2 to 6.0 cP, deviating maximally from the standard value in low shear rate (i.e., <100 s<sup>-1</sup>) regions. This effect reflected on EL quantifications: in particular, as compared to Model I, Model III yielded markedly higher EL values (up to +40%) or markedly lower (down to -21%) for subjects with hematocrit higher than 39.5% and lower than 30%, respectively. Accounting for non-Newtonian blood behavior on a patient-specific basis may enhance the accuracy of intracardiac energetics assessment by 4D Flow, which may be explored as non-invasive index to discriminate between healthy and pathologic LV.</p>
Identifying profiles of parental (de)motivating behaviors in youth sports through cluster analysis: A Multi-informant Approach
<p>Based on the perceptions of 331 youth athletes (<em>M</em><sub>age</sub>=14.33) and their most involved parent (<em>M</em><sub>age</sub> = 45.96), this study examined whether different profiles of parental behavior (i.e.,autonomy, competence, and relatedness supportive and thwarting) can be identified, to what extent these profiles match between the perceptions of athletes and parents, and how these profiles relate to youth athletes’ need-based experiences, (a)motivation, (dis)engagement, and anxiety regarding their sports participation. Cluster analysis identified four parental profiles based on both athlete and parent perceptions: parents who are relatively (1) need-supportive, (2) need-thwarting, (3) predominantly controlling, and (4) distant. In general, parents rated themselves as more motivating and less demotivating compared to the athlete’s perception. Moreover, parents' self-assessment had little to no predictive power in terms of the athlete’s sports experience. However, athletes who perceived their parents as need-supportive displayed the most adaptive outcomes, whereas the opposite was true for the need-thwarting profile. The two other profiles were situated in between, with athletes in the predominantly controlling profile scoring high on both the adaptive and maladaptive outcomes, and athletes in the distant profile scoring low on the maladaptive outcomes but not necessarily high on the adaptive outcomes.</p>
Data and generating files for the manuscript "A Multi-Model Analysis of Solute Plume Behavior in a Synthetic Braided-River Deposit", submitted to Water Resources Research, August 2018.
<p>Data and generating files for the manuscript "A Multi-Model Analysis of Solute Plume Behavior in a Synthetic Braided-River Deposit", submitted to Water Resources Research, August 2018.</p> <p>This zipped folder contains the codes and data generated for the manuscript. The main routine for generating the ensembles is fidelity/run_fidelity.py. The folders 'dtgeostats', 'flowtrans', and 'hyvr' contain utilities for generating parameter fields and running flow-and-transport simulations. Note that the codes and data are provided as-is and relative pathways, etc. in the code may not function correctly. The data can be found in the fidelity/runfiles/braid005 directory and includes the outputs for the synthetic virtual reality (fidelity/runfiles/braid005/braid_vr) and the following model ensembles: object-based with no conditioning (fidelity/runfiles/braid005/braid_1a), object-based with soft conditioning (fidelity/runfiles/braid005/braid_1b), MPS (fidelity/runfiles/braid005/braid_2a/), isotropic multi-Gaussian (fidelity/runfiles/braid005/braid_3/isn/), and anisotropic multi-Gaussian (fidelity/runfiles/braid005/braid_3/ann/) .</p>
A Bibliometric Analysis of Disordered Eating Behavior in Sports
Open the record for dataset details and reuse information.
A Bibliometric Analysis of Prosocial Behavior in Young Children
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Progressive failure analysis of slip zone soils with strain-softening behavior and implications for landslide triggering mechanisms
<p>Figure for paper entitled “Progressive failure analysis of slip zone soils with strain-softening behavior and implications for landslide triggering mechanisms”</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.