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"en": "Research suggests that both childhood experiences with one’s parents and individual differences in effortful control contribute to adult emotion regulation (ER). However, it is unclear how they associate with specific ER processes. In this adult study, we examined the roles of recalled parenting experiences and effortful control in daily ER selection and implementation. Using ecological momentary assessment (EMA), we focused on ER strategies of reappraisal, suppression, and rumination. We hypothesized recalled parental warmth, rejection, and overcontrol to predict adult ER selection and effectiveness of ER implementation and effortful control to mediate these effects. One hundred twenty-two adults answered self-reported questionnaires on their childhood experiences with their parents and effortful control. In EMA, they reported ER and emotions seven times daily for seven days. Recalled parental warmth predicted less suppression and rumination, whereas recalled overcontrol, especially in fathers, predicted greater suppression and reappraisal. However, recalled parenting experiences did not predict the effectiveness of ER implementation, and no support was found for the mediating role of effortful control between recalled parenting experiences and ER. Our findings suggest that recalled parenting experiences may guide adult ER selection rather than shape ER implementation, and these links may be largely independent of their effortful control."
},
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"en": "Abstract Background The non-neuronal retinal pigment epithelium (RPE) functions in intimate association with retinal photoreceptors, performing a multitude of tasks critical for maintaining retinal homeostasis and collaborating with retinal glial cells to provide metabolic support and ionic buffering. Accordingly, the RPE has recently been shown to display dynamic properties mediated by an array of ion channels usually more characteristic of astrocytes and excitable cells. The recent discovery of canonical voltage-activated Na+ channels in the RPE and their importance for phagocytosis of photoreceptor outer segments raises a question about their electrogenic function. Here, we performed a detailed electrophysiological analysis related to the functioning of these channels in human embryonic stem cell (hESC)-derived RPE. Results Our studies examining the electrical properties of the hESC-RPE revealed that its membrane mainly displays passive properties in a broad voltage range, with the exception of depolarization-induced spikes caused by voltage-activated Na+ current (INa). Spike amplitude depended on the availability of INa and spike kinetics on the membrane time constant, and the spikes could be largely suppressed by TTX. Membrane resistance fluctuated rapidly and strongly, repeatedly changing over the course of recordings and causing closely correlated fluctuations in resting membrane potential. In a minority of cells, we found delayed secondary INa-like inward currents characterized by comparatively small amplitudes and slow kinetics, which produced secondary depolarizing spikes. Up to three consecutive delayed inward current waves were detected. These currents could be rapidly and reversibly augmented by applying L-type Ca2+ channel blocker nifedipine to diminish influx of calcium and thus increase gap junctional conductance. Conclusions This work shows, for the first time, that INa and INa-mediated voltage spikes can spread laterally through gap junctions in the monolayer of cells that are traditionally considered non-excitable. Our findings support a potential role of the RPE that goes beyond giving homeostatic support to the retina."
},
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"en": "Description: The dataset was recorded during the ETN-FPI workshop on “Visual data capture” in Nov 2017 at the premises of Fraunhofer Institute for Integrated Circuits IIS in Erlangen by Faezeh Zakeri, Aron Cserkaszky, Sergio Moreschini, Gabriele Scrofani, and Christos Kaspiris-Rousellis. The footage has been preprocessed and calibrated using the Realception® plugins from Fraunhofer IIS. The dataset contains rectified images recorded by eight blackmagic cameras. The cameras were in 2 by 4 grid as follows: c0 c1 c2 c3 c4 c5 c6 c7 Each camera recorded a sequence of 370 images with 1080 x 1920 resolution and 8 bits per color. Images from each camera are stored in a separate folder - enumerated as c0, c1, ... c7. Images from camera c0 are also provided separately as a movie (avi) file. License: Copyright (c) 2019, Fraunhofer IIS, Erlangen, Germany, and Centre for Immersive Visual Technologies (CIVIT), Tampere University, Finland. All rights reserved. Academic use is free, please cite: Title: ETN-FPI Black Magic Hat-Man Dataset Authors: Faezeh Zakeri, Aron Cserkaszky, Sergio Moreschini, Gabriele Scrofani, and Christos Kaspiris-Rousellis ETN-FPI workshop on “Visual data capture”, Nov 2017 @Misc{, author = {Faezeh Zakeri and Aron Cserkaszky and Sergio Moreschini and Gabriele Scrofani and Christos Kaspiris-Rousellis}, title = {ETN-FPI Black Magic Hat-Man Dataset}, howpublished = {ETN-FPI workshop on “Visual data capture”}, month = nov, year = {2019}, } THIS DATA SET IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Acknowledgement: The preparation of this dataset was funded from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 676401, European Training Network on Full Parallax Imaging."
},
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"description": {
"en": "Cite this article Yan, S., Wirta, J. & Kämäräinen, J. Anthropometric clothing measurements from 3D body scans. Machine Vision and Applications 31, 7 (2020). https://doi.org/10.1007/s00138-019-01054-4 For details, see Anthropometric clothing measurements from 3D body scans The scans are provided by NOMO Technologies (https://nomo3d.com/) Ltd, Finland. We scanned 194 male and 181 female subjects, and the proposed pipeline provides mean absolute errors from 2.5 to 16.0 mm depending on the anthropometric measurement. This database is only used for scientific purpose. Companies need to contact NOMO Technologies for commercial purpose. ----------------------------------- The database can be freely donwloaded and used for scientific research purposes. You are not allowed redistribute or modify it. Proper citing of this resource is expected if the database is used in research or other reporting. The database is meant to be useful, but it is distributed WITHOUT ANY WARRANTY, and without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Inclusion of this database or even parts of it in a proprietary program is not allowed without a written permission from the owners of the copyright. If you wish to obtain such a permission, you should contact: Sizey Ltd Company ID: 2642975-3 Company address: Metsänneidonkuja 6, 02130 Espoo Finland Contact e-mail: sizey (at) sizey.ai OR: Song Yan, song.yan at tuni.fi Joni-Kristian Kämäräinen, joni.kamarainen at tuni.fi Johan Wirta, johan.wirta at nomo3d.com"
},
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"en": "For details, see Silhouette Body Measurement Benchmarks (ICPR2020). Cite this article S. Yan, J. Wirta and J. -K. Kämäräinen, \"Silhouette Body Measurement Benchmarks,\" 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 7804-7809, doi: 10.1109/ICPR48806.2021.9412708. or @INPROCEEDINGS{yansilh,\r\n author={Yan, Song and Wirta, Johan and Kämäräinen, Joni-Kristian},\r\n booktitle={2020 25th International Conference on Pattern Recognition (ICPR)}, \r\n title={Silhouette Body Measurement Benchmarks}, \r\n year={2021},\r\n volume={},\r\n number={},\r\n pages={7804-7809},\r\n doi={10.1109/ICPR48806.2021.9412708}}\r\n We did not upload the real scan data here, because of the privacy protection for NOMO custormers, please contact the authors to access the dataset. BUT we uploaded the fits of the scans : caesar6449v_nicp_fits.zip : fits of the CAESAR mean body shape, 6449 vertices, using NICP, the same topology as \"Building statistical shape spaces for 3d human modeling\" smpl6890v_nicp_fits.zip : fits of the SMPL template, 6890 vertices, using NICP smpl6890v_lbfgsb_fits.zip : fits of the SMPL template, 6890 vertices, using LBFGSB algorithm rendered_rgb.zip : rendered RGB images with SMPL fits, using SURREAL algorithm, with random RGB background images, random noisy background images, and silhouettes. smpl_lbfgsb_params.zip : parameters of SMPL LBFGSB fits, can be used for initial meshes for NICP bodymeasurement_mat.zip : body measurements from a tailor, the tailor did the measurement on the customer body, so there may be differences between scans and real body. For body measurements, if needed, you can define the measurement paths by yourself. The scans are collected by NOMO Technologies (https://nomo3d.com/) Ltd, Finland. We scanned 1474 male and 2675 female 3D body scans (BODY-fit), and captured a realistic RGB dataset (BODY-rgb) of 86 male and 108 female subjects and manually tape measured ground truth. This database is only used for scientific purpose. Companies need to contact NOMO Technologies for commercial purpose. ----------------------------------- The database can be freely donwloaded and used for scientific research purposes. You are not allowed redistribute or modify it. Proper citing of this resource is expected if the database is used in research or other reporting. The database is meant to be useful, but it is distributed WITHOUT ANY WARRANTY, and without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Inclusion of this database or even parts of it in a proprietary program is not allowed without a written permission from the owners of the copyright. If you wish to obtain such a permission, you should contact: Sizey Ltd Company ID: 2642975-3 Company address: Metsänneidonkuja 6, 02130 Espoo Finland Contact e-mail: sizey (at) sizey.ai OR: Song Yan, song.yan at tuni.fi Joni-Kristian Kämäräinen, joni.kamarainen at tuni.fi Johan Wirta, johan.wirta at nomo3d.com"
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