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opennotspecifiedSep 2021View details →

Fig. 3 in Is Phylogeographic Congruence Predicted by Historical Habitat Stability, or Ecological Co-associations?

Fig. 3. The number and distribution of spatial-genetic clusters, and phylogenetic relationships among mitochondrial DNA (mtDNA) haplotypes, for each of the five focal species. BAPS clusters were arbitrarily color-coded (alphabetic names are also shown), and spatial projections were based on membership of georeferenced individuals (Voronoї tessellations not shown). Grey shading identifies the "northern region" of the study area, referred to in the main text. Rooted phylogenetic trees (outgroup not shown) are simplified and color-coded corresponding to BAPS cluster membership of each mtDNA haplotype. Nodes with bootstrap support values>70% are marked by asterisks. Species names are abbreviated as in Fig. 1.

opencc-by-4.0Oct 2022View details →

Data for: Effects of vestibular stimulation on gait stability when walking at different step widths

Read me - Effects of vestibular stimulation on gait stability when walking at different step widths   In this folder you will find the data (folders named Data) and analysis (folder named software) belonging to the manuscript “Effects of vestibular stimulation on gait stability when walking at different step widths”(Magnani et al. 2021). To re-run the analysis, create a folder, and put the file subject_numbers.m, as well as the contents of data.zip and software.zip in that top level folder. Next, navigate to the “software” folder, and run scripts C_main_all_outcomes_paper2 and E_main_stats_paper2.   The following subject numbers were included in the analysis: 4 5 6 8 12 14 16 17 18 19 20 21 22 23 (see also subject_numbers.m, which includes explanation of why some subjects were excluded). We had problems with dust due to reconstruction in nearby labs, so some of the kinematic data was simply not useable.   The scripts were written for data from 12 conditions, being analyzed the conditions numbered 1 2 5 6 7 8 : <ol> <li>Steady state walking under vestibular stimulation (control, EVS)</li> <li>Steady state walking (control, no-EVS)</li> <li>Stabilization frame walking under vestibular stimulation (frame, EVS)</li> <li>Stabilization frame walking (frame, no-EVS)</li> <li>Narrow-base walking under vestibular stimulation (narrow, EVS)</li> <li>Narrow-base walking (narrow, no-EVS)</li> <li>Wide-base walking under vestibular stimulation (wide, EVS)</li> <li>Wide-base walking (wide, no-EVS)</li> <li>Stabilization frame ML walking under vestibular stimulation looking to the left side (left_frame, EVS)</li> <li>Stabilization frame ML (left_frame, no-EVS)</li> <li>Stabilization frame AP/ML walking under vestibular stimulation looking to the left side (left_frame_AP, EVS)</li> <li>Stabilization frame AP/ML walking looking to the left side (left_frame_AP, no- EVS)</li> </ol>   Below we describe the most important contents: <table> <tbody> <tr> <td> Folders </td> <td> Content </td> </tr> <tr> <td> Data.zip </td> <td> Data of all participants. Each subject has a separate subfolder.   These subfolders contain 1 excel files (used to match the conditions with the corresponding data files), as well as the pointer file corresponding to the pointer used during the measurement, needed to digitize the bony landmarks and the muscles names. Each subject subfolder has the following subfolders: </td> </tr> <tr> <td> OPTO </td> <td> Optotrak and force plate files <ul> <li>.ndf (motion capture data)</li> <li>.afp (force plate data)</li> <li>.hs calculated heelstrikes, as done in B_main_heelstrikes.m</li> </ul> </td> </tr> <tr> <td> EMG </td> <td> EMG data stored at .mat and .bin files (not used in current manuscript) </td> </tr> <tr> <td> Software </td> <td> =VU 3D model= </td> <td> Contains general functions for the analysis of our kinematic and force plate data. </td> </tr> <tr> <td> Functions </td> <td> Functions written specifically for the analysis of this dataset, including some unused functions </td> </tr> <tr> <td> Local Dynamic Stability </td> <td> Functions written specifically for the local dynamic stability. (Bruijn 2017). </td> </tr> <tr> <td> Results </td> <td> Contains storage of some intermediate results. The figures folder includes all   </td> </tr> <tr> <td> A_main_check_kin </td> <td> Scripy used to check the kinematics </td> </tr> <tr> <td> B_main_heelstrikes </td> <td> Script to identify gait events were identified from center of pressure data (Roerdink et al. 2008), results are stored in .hs files in subject data folder </td> </tr> <tr> <td> C_main_all_outcomes_paper2 </td> <td> Script to calculate all outcomes </td> </tr> <tr> <td> E_main_stats_paper2 </td> <td> Scripts of the statistical analysis, which also creates the figure files as seen in the manuscript. </td> </tr> <tr> <td> figure1.eps </td> <td> Mean values of stride width and stride width variability (represents figure 2 from paper) </td> </tr> <tr> <td> figure2.eps </td> <td> Mean values of step time and step time variability (represents figure 3 from paper) </td> </tr> <tr> <td> figure3.eps </td> <td> Mean values and standard deviation of local divergence exponent and center of mass variability (represents figure 4 from paper) </td> </tr> <tr> <td> figure4.eps </td> <td> Mean values of R2 (percentage of explained variance in foot placement) and the residual variance in foot placement (represents figure 5 from paper) </td> </tr> <tr> <td> ANOVA.csv </td> <td> ANOVA results for each variable </td> </tr> <tr> <td> Posthocs_condition.csv </td> <td> Posthoc results of the condition effect </td> </tr> <tr> <td> Posthocs_interaction.csv </td> <td> Posthoc results of the interaction effect </td> </tr> <tr> <td> Settings_rina.xls </td> <td> The setting of pointer, markers, and segments.  </td> </tr> <tr> <td> Stimulationfig.pdf </td> <td> Figure of the electrical stimulation signal (corresponds to figure 1 from paper) </td> </tr> <tr> <td> Svs_5mA_0-25Hz_2000Hz_120s.txt </td> <td> File containing the random electrical vestibular stimulation from the zero-mean low-pass filtered (25 Hz cutoff, zero lag, fourth-order Butterworth) white noise, the peak amplitude of 5mA, root mean square (RMS) of ~ 1.2 mA, range frequency between 0 to 25Hz, and intensity of 2000Hz for 120 seconds of duration. </td> </tr> <tr> <td> Svs_5mA_0-25Hz_2000Hz_480s.txt </td> <td> File containing the electrical vestibular stimulation from the zero-mean low-pass filtered (25 Hz cutoff, zero lag, fourth-order Butterworth) white noise, the peak amplitude of 5mA, root mean square (RMS) of ~ 1.2 mA, range frequency between 0 to 25Hz, and intensity of 2000Hz for 480 seconds of duration. </td> </tr> </tbody> </table>     Bruijn SM (2017) Local Dynamic Stability. https://zenodo.org/record/1181937#.Y1Fj7i0w354 Magnani RM, van Dieen JH, Bruijn SM (2021) Effects of vestibular stimulation on gait stability when walking at different step widths. bioRxiv 459650:. https://doi.org/https://doi.org/10.1101/2021.09.09.459650 Roerdink M, Coolen BH, Clairbois BHE, et al (2008) Online gait event detection using a large force platform embedded in a treadmill. J Biomech 41:2628–32. https://doi.org/10.1016/j.jbiomech.2008.06.023

opencc-byMay 2022View details →

Dominguez Pueblo (5MT2148): Post-Stabilization

Post-Stabilization, May 2022 Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Dec 2017View details →

Asymmetric Collaborative Bar Stabilization Tethered to Two Heterogeneous Aerial Vehicles

We consider a system composed of a bar tethered to two unmanned aerial vehicles (UAVs), where the cables behave as rigid links under tensile forces, and with the control objective of stabilizing the bar's pose around a desired pose. Each UAV is equipped with a PID control law, and we verify that the bar's motion is decomposable into three decoupled motions, namely a longitudinal, a lateral and a vertical. We then provide relations between the UAVs' gains, which, if satisfied, allows us to decompose each of those motions into two cascaded motions; the latter relations between the UAVs' gains are found so as to counteract the system asymmetries, such as the different cable lengths and the different UAVs' weights. Finally, we provide conditions, based on the system's physical parameters, that describe good and bad types of asymmetries. We present experiments that demonstrate the stabilization of the bar's pose.

Data for: Intersectin1 promotes clathrin-mediated endocytosis by organizing and stabilizing endocytic protein interaction networks

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Manual stability testing of a right (MBA + OM) femur explant

MBA: massive bone allograft, OM: osteogenic membrane. Black marks located the further cut (1cm proximally and distally from both osteotomy junctions).

Influence of the hydrophile–lipophile balance of perfluorinated surfactants on the emulsion stability

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Exploring the Interaction Between Proprioceptive Sensitivity in the Hip, Knee, and Ankle Joints, Alongside Stability Limits Evaluated Through Computerized Posturography, in Elderly Individuals Afflicted with Fibromyalgia Syndrome.

Objectives: This study investigates proprioceptive sensitivity and stability limits in patients with Fibromyalgia syndrome (FMS) compared to healthy controls, focusing on joint reposition sense (JRS) and limits of stability (LOS). By delineating differences between the groups, it aims to uncover the proprioceptive deficits that contribute to balance impairments in FM sufferers. Additionally, the study explores correlations between JRS and LOS within the FM group, potentially informing targeted therapeutic strategies to enhance patient outcomes.   Methods: Fifty-four individuals with FM and 54 healthy controls participated in this research. Using precise digital inclinometers, JRS was evaluated at the hip, knee, and ankle joints. LOS was assessed using dynamic posturography with advanced iso-free technology. Various parameters were measured, including reaction time, maximum excursion, and directional control.   Results: Individuals with FM exhibited significant differences in JRS and LOS compared to healthy controls. For JRS errors in the hip, knee, and ankle joints (mean ± SD), the FM group showed 3.2° ± 0.6°, 2.9° ± 0.5°, and 3.5° ± 0.7°, respectively, while the control group exhibited 1.1° ± 0.4°, 1.0° ± 0.3°, and 1.2° ± 0.4°, respectively. In LOS, FM individuals had a reaction time of 1.8 ± 0.3 seconds, maximum excursion of 54.6% ± 6.2%, and directional control of 65.2% ± 5.8%, while healthy controls showed 0.9 ± 0.2 seconds, 72.4% ± 7.1%, and 77.8% ± 6.9%, respectively.   Conclusions: Correlation analysis revealed significant associations between JRS parameters and LOS outcomes within the FMS group, indicating that better proprioception was linked to improved postural stability. These findings have clinical implications for assessing and managing balance impairments in individuals with FMS, potentially contributing to the development of targeted interventions to improve their quality of life.

opencc-by-4.0Feb 2024View details →

Chemically reactive thin films: dynamics and stability -- Data

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Data for "Thermodynamic stability and vibrational properties of multi-alkali antimonides"

Input and output files of the calculations presented in the publication "Thermodynamic stability and vibrational properties of multi-alkali antimonides". All the DFT-relaxation and supercell calculations necessary to obtain the phonon properties are included. For Cs3Sb, K3Sb, and Na3Sb, additional calculations for each exchange-correlation functional are provided.

opencc-by-4.0Jan 2024View details →

Raw data: The Chemical and Electronic Properties of Stability-Enhanced, Mixed Ir-TiOx Oxygen Evolution Reaction Catalysts

Raw data for the publication: <h4>The Chemical and Electronic Properties of Stability-Enhanced, Mixed Ir-TiOx Oxygen Evolution Reaction Catalysts</h4> <div>Marianne van der Merwe, Raul Garcia-Diez, Leopold Lahn, R. Enggar Wibowo, Johannes Frisch, Mihaela Gorgoi, Wanli Yang, Shigenori Ueda, Regan G. Wilks, Olga Kasian, and Marcus Bär</div> <div>ACS Catalysis 2023 13 (23), 15427-15438</div> DOI: 10.1021/acscatal.3c02948 Copyright © 2023 The Authors. Published by American Chemical Society. This publication is licensed under <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a>.

Data of "Stabilizing classical accelerometers and gyroscopes with a quantum inertial sensor"

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Biomechanical Analysis of Limits of Stability Using Computerized Posturography: Correlations with Functional Mobility in Elderly Individuals with Hip Osteoarthritis – A Cross-Sectional Study

The study titled "Biomechanical Analysis of Limits of Stability Using Computerized Posturography: Correlations with Functional Mobility in Elderly Individuals with Hip Osteoarthritis – A Cross-Sectional Study" delves into the intricate relationship between postural stability and functional mobility in elderly patients suffering from hip osteoarthritis (OA). Utilizing advanced computerized posturography, the research quantitatively assesses the limits of stability (LOS) in various directional planes, providing a comprehensive biomechanical profile of the participants. The findings reveal significant discrepancies in LOS between hip OA patients and age-matched asymptomatic controls, underscoring the profound impact of hip OA on balance and stability. Additionally, the study examines the correlation between LOS measurements and functional mobility, as assessed by the Timed Up and Go (TUG) test. The results indicate a strong association, suggesting that diminished postural stability in hip OA patients contributes to impaired functional mobility. This cross-sectional analysis highlights the importance of targeted interventions to enhance stability and mobility in this population, aiming to mitigate the risk of falls and improve overall quality of life.

Data set for publication "Effect of milling atmosphere on stability and surface properties of ZnO/vermiculite hybrid nanocomposite powders"

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opencc-zeroMay 2024View details →

dryad32/100

Data from: Green derivative synchronous spectrofluorimetry for kinetic stability study of florfenicol

This dataset contains data representing synchronous fluorescence spectra obtained upon utilizing spectrofluorometry as a highly sensitive analysis tool for the simultaneous determination of Florfenicol with its different degradation products obtained after stress testing. Synchronous fluorimetry was used followed by applying either first or second derivatization according to the type of degradation aiming to obtain highly resoluted spectra. Different degradation pathways according to published literature were used to interpret degradation kinetic parameters, which were in accordance with previously reported articles. The dataset also includes different validation parameters applied.

Data for the thesis "Exploring Heuristics for Predicting Microbenchmark Stability and Code Coverage using Static Code Analysis"

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Dataset and analyses for: Force-field perturbations and muscle vibration strengthen stability-related foot placement responses during steady-state gait in healthy adults

We have collected kinematic data (heel and pelvis markers) from healthy adults during treadmill walking, whilst force-field perturbations and timed muscle vibrations were applied. We assessed the (after-)effects of these two interventions by evaluating foot placement control through outcome measures derived from a regression model which predicts foot placement based on the center-of-mass kinematic state. The data and analyses provided belong to the scientific publication: "Force-field perturbations and muscle vibration strengthen stability-related foot placement responses during steady-state gait in healthy adults". In the manuscript we place these analyses in the context of stability control and speculate on how these trainining interventions may improve stability control in patient populations.

opencc-zeroJun 2024View details →

dryad32/100

Data from: Ecosystem engineers shape ecological network structure and stability: a framework and literature review

Ecosystem engineering is a ubiquitous process where species influence the physical environment and thereby structure ecological communities. However, there has been little effort to synthesise or predict how ecosystem engineering may impact the structure and stability of interaction networks. To assess the current scientific understanding of ecosystem engineering impacts via habitat forming, habitat modification, and bioturbation on interaction networks/food webs, we reviewed the literature covering marine, freshwater, and terrestrial food webs, plant-pollinator networks, and theory. We provide a conceptual framework and identify three major pathways of engineering impact on networks through changes in resource availability and energy flow, habitat heterogeneity, and environmental filtering. These three processes often work in concert and most studies report that engineering increases species richness. This is particularly marked for engineers that increase habitat heterogeneity and thereby the number of available niches. The response of network structure to ecosystem engineering varies, however some patterns emerge from this review. Engineered habitat heterogeneity leads to a higher number of links between species in the networks and increases link density. Connectance can be negatively or positively affected by ecosystem engineer impact, depending on the engineering pathway and the engineer impact of species richness. We discuss how ecosystem engineers can stabilize or destabilize communities through the changes in niche space, diversity, network structure, and the dependency on the engineering impact. Theory and empirical evidence need to inform each other to better integrate ecosystem engineering and ecological networks. A mechanistic understanding how ecosystem engineering traits shape interactions networks and their stability will be important to predict species extinctions and can provide crucial information for conservation and ecosystem restoration.

The molecular basis for the increased stability of the FUS-LC fibril at the anionic membrane- and air-water interfaces [part-2]

Here, we provide atomistic molecular dynamics (CHARMM36m force field and GROMACS software) simulation trajectories of FUS-LC fibril on DOPC and DOPG membrane in .xtc format. Coordinates of the system at the end of the simulations and topology files are also supplied.The data accompanies the publication "The molecular basis for the increased stability of the FUS-LC fibril at the anionic membrane- and air-water interfaces" by Sanjoy Paul,  Sayantan Mondal, Irina Shenogina, and Qiang Cui.

Nanoscale engineering and dynamical stabilization of mesoscopic spin textures - Experimental Data

Experimental data for "Nanoscale engineering and dynamical stabilization of mesoscopic spin textures". Data is organized by figure in which it is discussed. Filenames are organized by date/timestamp collected. Figures composed of multiple, separately taken datasets have been uploaded into separate folders, organized by subfigure or other identifier. All datasets are matlab (.m) filetype. Each contains three column vectors; the signal and phase of the FFT of readout, and the time at which the readout was performed.