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13,017 results for “Positionning”
Fig. 2 in Positive association between PTN polymorphisms and schizophrenia in Northeast Chinese Han population.
Fig. 2. Radical property changes and convergent/parallel amino acid substitutions in echolocating mammals. Lineages in red, green, and blue indicate echolocating bats, toothed whales, and the common shrew, respectively. Convergent and parallel amino acid substitutions in common shrew and echolocating bat lineages are in pink boxes. Sites with radical property changes in the common shrew and echolocating bats are depicted in red boxes. Sites in light green indicate the convergent and parallel substitutions between common shrew and toothed whales, and sites in green boxes indicate radical property changes.
Fig. 1 in Phylogenetic position of the freshwater fish trypanosome, Trypanosoma ophiocephali (Kinetoplastida) inferred from the complete small subunit ribosomal RNA gene sequence
Fig. 1 The neighbor-joining tree of aquatic trypanosomes constructed from complete small subunit ribosomal RNA (SSrRNA) sequences indicating the systematic position of T. ophiocephali and phylogenetic relationships among the aquatic trypanosomes whose sequences are available. T. lewisi, T. theileri, and T. avium are taken as the outgroup. Bootstrap values are shown for the maximum parsimony/neighborjoining/Bayes analyses
Figure1. Static stimulation of a single TCR- The kinetic proofreading by the receptor on input x Є X forwards the receptor position p toward l. The receptor will generate negative feedback if p > β. The receptor will generate success signal when p== l.-AIDEN: A Density Conscious Artificial Immune System for Automatic Discovery of Arbitrary Shape Clusters in Spatial Patterns
<p>A TCR at position p is stimulated if rp (x) - rn(x) > l. Figure 1 depicts this process. When a T<br> Cell receives stimulations on more than k receptors, it generates activation signal to a B Cell, as<br> represented in Figure2.</p>
Figure 5. The distortion is barely noticeable if the faces are viewed in the reversed position-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>According to the feature-based processing theories of human faces the main elements,<br> noticed and remembered in a face, are the eyes, the nose and the mouth (Thompson, 1980; Anstis,<br> 2005a). If, however, we distort some of the elements of a face, these should influence perception,regardless of the position of the image – upright or reversed – from the observer viewpoint. Figure 5<br> presents the reversed image of the face on the left and the reversed distorted face on the right. The<br> distortion was achieved by rotating the eyes of the image in the vertical direction.<br> Figure</p>
Brain Journal-The Status of Positive Psychology Strengths within the Romanian School in the Digital Society -Figure 1. Pie chart vitalitysuccess
<p>The Pie charts above illustrate the distribution of responses for the "Vitality" strength. It can<br> be noticed how the lower values are much more frequent than the high ones, in terms of promoting<br> this strength in school. Thus, the participants at this study consider that school does not attach<br> enough importance to this strength, even though it has proven to be so mandatory in assuring the<br> students' well-being and personal success.</p>
BRAIN Journal-Micro Expression Recognition Using the Eulerian Video Magnification Method-Figure 3.The chart of emotional/unemotional detection on the face in negative, positive and surprise states (Regular and magnified data)
<p>To evaluate the emotional/unemotional detection on the face, 328 tests were performed: 164 tests on the magnified data and 164 tests on the regular data. For this purpose, the train set includes the neutral state and only one of the emotional states (negativism, positivism and surprise) according to the test set. So that the train set includes regular data in 328 experiments. The experimental results are shown in Figure 3. </p>
Summary data to support Hall (2019), '(e) in Normandy: The sociolinguistics, phonology and phonetics of the "Loi de Position"'
<p>Article abstract:</p> <p>This article uses the pronunciation of stressed Intonational Phrase-final /ε/ and /e/ in two communities in Normandy, France, to illustrate the convergence of two sociolinguistic processes on the same phonological result: increasing application of the <em>Loi de Position</em>. In both communities (one rural and further from Paris, one urban and closer to Paris), there is now no consistent community-wide phonetic distinction between the two phonemes in that environment. It is suggested that the <em>Loi de Position</em> is already widely applied in the rural site, but speakers are still conscious of the formal norm whereby it is not applied; for the urban site, apparent-time changes for this variable reflect changes in Parisian speech. The theoretical implications of the study concerning speakers’ organisation of their vowel-space, and concerning the increasing application of the <em>Loi de Position</em> in the French of France, are examined. These conclusions are reached by per-speaker analysis of F1 and F2 separately from each other (rare in French linguistics). As a measure of community cohesion, the article introduces to linguistics the coefficient of variation (more common in biology and medicine).</p>
Udayagiri (Madhya Pradesh). Drawing of central ridge showing position of rising sum.
<p>Udayagiri, Madhya Pradesh. Drawing of central ridge showing main water features and position of rising sun at the time of the winter and summer solstice. Key: (A) astronomical platform, (B) site of pillar with lion capital, (c) temple mound.</p>
Intentional Forgetting in Organizations: The Positive Effects of Decision Support Systems on Mental Resources and Well-being
<p>This dataset contains raw data collected in an experimental study at the University of Muenster, Germany. The study is part of a larger research project and examined “intentional forgetting” effects in a simulated sales planning scenario. Intentional forgetting was operationalized via computer-based decision support system that enabled users to forget decision-relevant background information. We assumed that such intentional forgetting not only enhances decision quality but also decreases strain of decision makers and releases memory capacities for additional tasks.</p>
Data, analysis scripts, simulations, and schematics files for "Position Sensitive Alpha Detector for an Associate Particle Imaging System"
<p>Measured data and analysis script, as well as, simulated data, input scripts, as well as, schematics for the readout board for our publication "Position Sensitive Alpha Detector for an Associate Particle Imaging System"</p>
Fig. 6. Skeletal arrangement. A in Molecular study supports the position of the New Zealand endemic genus Lamellomorpha in the family Vulcanellidae (Porifera, Demospongiae, Tetractinellida), with the description of three new species
Fig. 6. Skeletal arrangement. A. Lamellomorpha australis Kelly & Cárdenas sp. nov. showing dense, crustose ectosome packed with microrhabds and other microscleres, a rough megasclere bundle in the subectosome, emerging perpendicular to the surface, and the choanosome densely packed with microscleres (NIWA 89736 leg., holotype). B. L. australis sp. nov. showing the subectosome densely packed with microscleres, and megascleres radiating in the plane of the sponge body (NIWA 89717 leg.). C. L. strongylata Bergquist, 1968 showing a thin, fleshy ectosome packed with microrhabds and other microscleres, through which projects an 'extra-axial' tract of megascleres, traversing the subectosome and projecting through the surface (NIWA 93474 leg.). D. L. strongylata showing the 'axial' arrangement of contort strongyloxeas in the deep choanosome (NIWA 93474 leg.). E. Poecillastra ducitriaenea Kelly & Cárdenas sp. nov. showing a densely packed, crustose ectosome through which subectosomal megascleres project, a relatively cavernous subectosomal region packed with microxeas, and in the deep choanosome, huge swathes of oxeas (NIWA 61944 leg., holotype). Scale bars = 500 µm.
Fig. 5 in Molecular study supports the position of the New Zealand endemic genus Lamellomorpha in the family Vulcanellidae (Porifera, Demospongiae, Tetractinellida), with the description of three new species
Fig. 5. Morphology, megascleres and microscleres of Poecillastra macquariensis Kelly & Cárdenas sp. nov. (NIWA 52640 leg., holotype). A. Stalk, showing smooth attachment base with specks of remaining substrate, and broken edge of the upper part of the sponge. B. Microxeas. C. Detail of microxea showing roughened surface. D. Contort oxea of choanosome. E. Range of triaenes with medium to short shafts (calthrops). F. Plesiasters. G. Spiraster to metaster-like streptasters.
Fig. 3 in Molecular study supports the position of the New Zealand endemic genus Lamellomorpha in the family Vulcanellidae (Porifera, Demospongiae, Tetractinellida), with the description of three new species
Fig. 3. Morphology, megascleres, and microscleres of Lamellomorpha australis Kelly & Cárdenas sp. nov. A. Bilamellate form (NIWA 89736 leg., holotype). B. Club-shaped morphology showing both sides (NIWA 93483 leg., paratype). C. Sinuous oxeas (NIWA 44388 leg.). D. Curved, roughened microstrongyles (rounded ends) and microxeas (blunt-pointed ends) (NIWA 44388 leg.). E. Metasterlike streptasters with heavily spined, relatively long rays (NIWA 89736 leg. and NIWA 89717 leg.). F. Spirasters with dense, short, microspined rays (NIWA 44388 leg. and NIWA 89736 leg.).
Fig. 2 in Molecular study supports the position of the New Zealand endemic genus Lamellomorpha in the family Vulcanellidae (Porifera, Demospongiae, Tetractinellida), with the description of three new species
Fig. 2. Morphology, megascleres and microscleres of Lamellomorpha strongylata Bergquist, 1968. A. Deck image showing midnight blue colouration and palmate morphology (NIWA 93474 leg., image Lori J. Bell, CRRF). B. Loss of colouration and radiating skeleton (NIWA 73253 leg.). C. Range of roughened microstrongyles showing centrotylote forms and more typical curved forms (penultimate: NIWA 356 leg., rest: NIWA 93474 leg.). D. Sinuous oxeas (NIWA 93474 leg.). E. Metaster- to amphiaster-like streptasters (left: NIWA 93474 leg., center and right: NIWA 356 leg.); F. Metaster- to amphiaster-like streptasters (left and center: NIWA 356 leg., right: NIWA 93474 leg.).
Fig. 1 in Molecular study supports the position of the New Zealand endemic genus Lamellomorpha in the family Vulcanellidae (Porifera, Demospongiae, Tetractinellida), with the description of three new species
Fig. 1. Study area showing the collection localities for: Lamellomorpha strongylata Bergquist, 1968, around Middlesex Bank, Three Kings Islands, and Spirits Bay (triangles); L. australis Kelly & Cárdenas sp. nov., Bounty Platform, Campbell Plateau, Solander Trough, and Macquarie Ridge (Australian EEZ) (circles); Poecillastra ducitriaena Kelly & Cárdenas sp. nov., on the eastern edge of the Snares Platform (square); and Poecillastra macquariensis Kelly & Cárdenas sp. nov., on Seamount 5, Macquarie Ridge (star).
Data from: The more you get, the more you give: Positive cascading effects shape the evolutionary potential of prenatal maternal investment
<p>Data from 'The more you get, the more you give: Positive cascading effects shape the evolutionary potential of prenatal maternal investment'</p> <p> </p> <p>Description of variables in CME_dat.csv</p> <p>egg.mass - mean offspring egg mass (grams)</p> <p>maternal.line - selection line of mother (H- high investment, L - low investment)</p> <p>paternal.line - selection lines of father (H- high investment, L - low investment)</p> <p>replicate - selection line replicate</p> <p>animal - animal id (links with data from Pick et al. 2016 on dryad)</p> <p>mother - mother id</p> <p>father - father id</p> <p>maternal.egg.mass - mean maternal egg mass (grams)</p>
Integrated force and position control dataset
<p>The methods implemented for these experiments are described in the papers:</p> <p>[1] A. Suarez, M. Perez, A. E. Jimenez-Cano, G. Heredia, A. Ollero: "Cartesian Aerial Manipulator with Compliant Joint Arm", submitted to Robotics and Automation Letters, February 2019.</p> <p>[2] A. Suarez, P. Sanchez-Cuevas, M. Fernandez, M. Perez, G. Heredia and A. Ollero, "Lightweight and Compliant Long Reach Aerial Manipulator for Inspection Operations," 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, 2018, pp. 6746-6752.</p> <p>These data files correspond to two different contact force control experiments conducted with the Cartesian aerial manipulator in outdoors, using a Leica Total Station to measure the position of the UAV, the estimator and the Cartesian manipulator with compliant joint arm described in the paper. The force/torque is estimated from the joint deflection signal measured by a magnetic encoder integrated in the compliant joint. The control rate is set to 50 Hz, taking into account the RAM-read update rate of the Herkulex servos.</p>
Data of "Thalamic drive of cortical parvalbumin-positive interneurons during down-states in anesthetized mice"
<p>This dataset and relative code support the scientific article "Thalamic drive of cortical parvalbumin-positive interneurons during down-states in anesthetized mice" by the same authors accepted for publication in Current Biology (2019).</p> <p>For further detail, please refer to README.txt.</p>
Data for the analysis from "Evidence for positive priming of leaf litter decomposition by contact with eutrophic pond sediments"
<p>These are the data files used in the analysis of the results of the experiments that are reported in the manuscript "Evidence for positive priming of leaf litter decomposition by contact with eutrophic pond sediments". More details on the analysis can be found in at: https://github.com/KennyPeanuts/sediment_priming</p>
Datasets and Supporting Materials for the IPIN 2018 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site)
<p>This package contains the datasets and supplementary materials used in the IPIN 2018 Competition (Nantes, France).</p> <p><strong>Contents:</strong></p> <ol> <li>IPIN2018_CallForCompetition_v2.1: Call for competition including the technical annex describing the competition </li> <li>01-Logfiles: This folder contains 2 zip files.<br> - HKB08.zip : for sensors bias estimation.<br> - HKB82.zip : for trajectory estimation.<br> Each archive contains 4 files :<br> - HKBxx_mag.csv : magnetometer data<br> - HKBxx_sti.csv : inertial data<br> - HKBxx_ublox.ubx : GNSS data<br> - HKBxx_INFO.txt : info file<br> see page 16 of IPIN2018_CallForCompetition_v2.1.pdf for more details.</li> <li>02-Supplementary_Materials: This folder contains the datasheet files of the different sensors.</li> <li>03-Evaluation: This folder contains the scripts used to calculate the competition metric, the 75th percentile on all evaluation points. The ground truth is provided csv file.</li> </ol> <p><strong>Please, cite the following works when using the datasets included in this package:</strong></p> <ul> <li>Ortiz, M.; Perul, J.; Torres-Sospedra, J. Renaudin, V. Datasets and Supporting Materials for the IPIN 2018 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site), Zenodo 2018 <a href="http://dx.doi.org/10.5281/zenodo.3228012">http://dx.doi.org/10.5281/zenodo.3228012</a></li> </ul> <p><strong>Additional information can be found at:</strong></p> <ul> <li><a href="http://evaal.aaloa.org/2018/call-for-competitions">http://evaal.aaloa.org/2018/call-for-competitions</a></li> <li><a href="http://ipin-conference.org/2018/ipincompetition/">http://ipin-conference.org/2018/ipincompetition/</a></li> </ul> <p><strong>For any further questions about the database and this competition track, please contact to: </strong></p> <ul> <li> <p>Miguel Ortiz (<a href="mailto:miguel.ortiz@ifsttar.fr">miguel.ortiz@ifsttar.fr</a>) at the French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR) France.</p> <p> </p> </li> </ul>
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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.