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1,952 results for “actionality”
Data from: Learning of probabilistic punishment as a model of anxiety produces changes in action but not punisher encoding in the dmPFC and VTA
<p>Previously, we developed a novel model for anxiety during motivated behavior by training rats to perform a task where actions executed to obtain a reward were probabilistically punished and observed that after learning, neuronal activity in the ventral tegmental area (VTA) and dorsomedial prefrontal cortex (dmPFC) represent the relationship between action and punishment risk (Park & Moghaddam, 2017). Here we used male and female rats to expand on the previous work by focusing on neural changes in the dmPFC and VTA that were associated with the learning of probabilistic punishment, and anxiolytic treatment with diazepam after learning. We find that adaptive neural responses of dmPFC and VTA during the learning of anxiogenic contingencies are independent from the punisher experience and occur primarily during the peri-action and reward period. Our results also identify peri-action ramping of VTA neural calcium activity, and VTA-dmPFC correlated activity, as potential markers for the anxiolytic properties of diazepam.</p>
Multi-Camera Action Dataset (MCAD)
<p>Action recognition has received increasing attentions from the computer vision and machine learning community in the last decades. Ever since then, the recognition task has evolved from single view recording under controlled laboratory environment to unconstrained environment (i.e., surveillance environment or user generated videos). Furthermore, recent work focused on other aspect of action recognition problem, such as cross-view classification, cross domain learning, multi-modality learning, and action localization. Despite the large variations of studies, we observed limited works that explore the open-set and open-view classification problem, which is a genuine inherited properties in action recognition problem. In other words, a well designed algorithm should robustly identify an unfamiliar action as “unknown” and achieved similar performance across sensors with similar field of view. The Multi-Camera Action Dataset (MCAD) is designed to evaluate the open-view classification problem under surveillance environment.</p> <p>In our multi-camera action dataset, different from common action datasets we use a total of five cameras, which can be divided into two types of cameras (StaticandPTZ), to record actions. Particularly, there are three Static cameras (Cam04 & Cam05 & Cam06) with fish eye effect and two PanTilt-Zoom (PTZ) cameras (PTZ04 & PTZ06). Static camera has a resolution of 1280×960 pixels, while PTZ camera has a resolution of 704×576 pixels and a smaller field of view than Static camera. What’s more, we don’t control the illumination environment. We even set two contrasting conditions (Daytime and Nighttime environment) which makes our dataset more challenge than many controlled datasets with strongly controlled illumination environment.The distribution of the cameras is shown in the picture on the right.</p> <p>We identified 18 units single person daily actions with/without object which are inherited from the KTH, IXMAS, and TRECIVD datasets etc. The list and the definition of actions are shown in the table. These actions can also be divided into 4 types actions. Micro action without object (action ID of 01, 02 ,05) and with object (action ID of 10, 11, 12 ,13). Intense action with object (action ID of 03, 04 ,06, 07, 08, 09) and with object (action ID of 14, 15, 16, 17, 18). We recruited a total of 20 human subjects. Each candidate repeats 8 times (4 times during the day and 4 times in the evening) of each action under one camera. In the recording process, we use five cameras to record each action sample separately. During recording stage we just tell candidates the action name then they could perform the action freely with their own habit, only if they do the action in the field of view of the current camera. This can make our dataset much closer to reality. As a results there is high intra action class variation among different action samples as shown in picture of action samples.</p> <p>URL: http://mmas.comp.nus.edu.sg/MCAD/MCAD.html</p> <p><strong>Resources:</strong></p> <ul> <li><strong>IDXXXX.mp4.tar.gz</strong> contains video data for each individual</li> <li><strong>boundingbox.tar.gz</strong> contains person bounding box for all videos</li> <li><strong>protocol.json</strong> contains the evaluation protocol</li> <li><strong>img_list.txt</strong> contains the download URLs for the images version of the video data</li> <li><strong>idt_list.txt</strong> contians the download URLs for the improved Dense Trajectory feature</li> <li><strong>stip_list.txt</strong> contians the download URLs for the STIP feature</li> </ul> <ul> <li>Manual annotated 2D joints for selected camera view and action class (available via http://zju-capg.org/heightmap/)</li> </ul> <p><strong>How to Cite:</strong></p> <p>Please cite the following paper if you use the MCAD dataset in your work (papers, articles, reports, books, software, etc):</p> <ul> <li>Wenhui Liu, Yongkang Wong, An-An Liu, Yang Li, Yu-Ting Su, Mohan Kankanhalli<br> <strong>Multi-Camera Action Dataset for Cross-Camera Action Recognition Benchmarking</strong><br> <em>IEEE Winter Conference on Applications of Computer Vision (WACV)</em>, 2017.<br> http://doi.org/10.1109/WACV.2017.28</li> </ul>
Data for publication "Committed sea-level rise under the Paris Agreement and the legacy of delayed mitigation action".
<p>Data underlying the publication "Committed sea-level rise under the Paris Agreement and the legacy of delayed mitigation action".</p> <p>Journal: Nature Communications</p> <p>Authors: <em>Matthias Mengel<sup>1*</sup></em><em>, Alexander Nauels</em><sup><em>2</em></sup><em>, Joeri Rogelj</em><sup><em>3,4</em></sup><em>, Carl-Friedrich Schleussner<sup>1,5</sup></em></p> <p>(1) Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany</p> <p>(2) Australian-German College of Climate & Energy Transitions, The University of Melbourne, Parkville, Victoria 3010, Australia</p> <p>(3) ENE Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, Laxenburg A-2361, Austria</p> <p>(4) Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, Zurich 8006, Switzerland</p> <p>(5) Climate Analytics, Ritterstr. 3, 10969 Berlin, Germany</p> <p>(*) email matthias.mengel@pik-potsdam.de</p> <p>Abstract:</p> <p>Sea-level rise is a major consequence of climate change that will continue long after emissions of greenhouse gases have stopped. The 2015 Paris Agreement aims at reducing climate-related risks by reducing greenhouse gas emissions to net zero and limiting global-mean temperature increase. Here we quantify the effect of these constraints on global sea-level rise until 2300 including Antarctic ice-sheet instabilities. We estimate median sea-level rise between 0.7 and 1.2m if net zero greenhouse gas emissions are sustained until 2300, varying with the pathway of emissions during this century. Temperature stabilization below 2°C is insufficient to hold median sea-level rise until 2300 below 1.5m. We find that each 5-year delay in near-term peaking of CO2 emissions increases median year-2300 sea-level rise estimates by ca. 0.2m, and extreme sea-level rise estimates at the 95th percentile by up to 1m. Our results underline the importance of near-term mitigation action for limiting long-term sea-level rise risks.</p> <p> </p> <p>Large zip files provides data. Small zip file python code for plotting and writing supplementary data.</p>
Data and results for "A corpus-based study to triangulating experimental evidence regarding verb-noun association for action verbs"
<p>This repository provides spreadsheets containing the results of corpus-based and experimental studies for my undergraduate thesis titled "A corpus-based study to triangulating experimental evidence regarding verb-noun association for action verbs" (supervised by Gede Primahadi Wijaya Rajeg, PhD [main] and Ketut Santi Indriani, M.Hum. [associate]) in the Bachelor of English Literature (BoEL) program, Faculty of Humanities, Udayana University. The thesis explores convergences/divergences between different methods and data types for a set of verb-noun collocations for several action verbs and their synonyms. The description of the dataset is as follows:</p> <ol> <li>"data-raw": A raw dataset containing the results of an experiment conducted using Gorilla Experiment Builder. This consists of responses regarding verb-noun collocation co-occurrences from 17 participants into one. Link to Gorilla Experiment: (https://app.gorilla.sc/openmaterials/622948).</li> <li>"Corpus Analysis Results": A compiled data containing search results of frequencies found in the Corpus of Contemporary American English (COCA). The frequencies were compiled into tables for the five main verbs showing the number of co-occurrences of specific verb-noun collocations.</li> <li>"Experiment Results (1)": A compiled data containing the experiment results calculated as a total, showing the number of co-occurrences of specific verb-noun collocations across five verbs from the participant responses.</li> </ol> <p>The thesis is part of the pedagogical outcome of the <a title="CompLexico" href="https://www.cirhss.org/complexico/" target="_blank" rel="noopener"><em>CompLexico</em></a> research group at <a title="CIRHSS" href="https://www.cirhss.org/" target="_blank" rel="noopener"><em>CIRHSS</em></a>, and the Psycholinguistics course I took with I Made Sena Darmasetiyawan, PhD at BoEL, both in the Faculty of Humanities, Udayana University.</p>
Data for: Selection on the joint action of pairs leads to divergent adaptation and coadaptation of care-giving parents during pre-hatching care
<p>The joint actions of animals in partnerships or social groups evolve under both natural selection, from the wider environment, and social selection, imposed by other members of the pair or group. We used experimental evolution to investigate how jointly expressed actions evolve upon exposure to a new environmental challenge. Our work focused on the evolution of carrion nest preparation by pairs of burying beetles <em>Nicrophorus vespilloides</em>, a joint activity undertaken by the pair but typically led by the male. In previous work, we found that carrion nest preparation evolved to be faster in experimental populations without post-hatching care (No Care lines) than with post-hatching care (Full Care lines). Here we investigate how this joint activity evolved. After 15 generations of experimental evolution, we created heterotypic pairs (No Care females with Full Care males, and No Care males with Full Care females) and compared their carrion nest making with homotypic No Care and Full Care pairs. We found that pairs with No Care males prepared the nest more rapidly than pairs with Full Care males, regardless of the female's line of origin. We discuss how social coadaptations within pairs or groups could act as a post-mating barrier to gene flow.</p>
Figure 3 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 3. The proportion of risk statuses of fish families with four or more species assessed at the extent of Florida. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 1 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 1. The proportion of risk statuses of fish families with four or more species assessed at the extent of the conterminous U.S. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 2 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 2. The proportion of risk statuses of fish families with four or more species assessed at the extent of the Great Lakes region. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Replication Package for "Catching Smells in the Act: A GitHub Actions Workflow Investigation" (SCAM 2024)
<p>Welcome to our artifact! In here we provide additional information on how to retrace our steps performed during the research. We have split up our content into four sections based on the RQ's we have answered. Below you can find a quick summary of the contents of each folder, each folder also contains additional information regarding any data and scripts present.</p> <ul> <li>RQ1 + 2: Contains excel files with the commits we have analyzed and the scripts we have used to automate this process.</li> <li>RQ3: Contains our smell detector and evaluation of the detector</li> <li>RQ4: Contains the data on our contribution study</li> </ul>
Dataset: ZW Data Action Technologies Inc. (CNET) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Figure 3 in Public risk perceptions associated with Asian carp introduction and corresponding response actions
Figure 3. The proportion of participants perceiving risk associated with eleven different management responses to a potential invasion of Asian carp in Michigan as being low, medium or high risk, 2017 (n = 2,788).
Figure 2 in Public risk perceptions associated with Asian carp introduction and corresponding response actions
Figure 2. Percentage of participants perceiving risk associated with nine different socioeconomic risks from a potential Asian carp invasion in Michigan, 2017 (n = 2,788). Colorcoded peaks on the radar indicate a higher percentage of participants perceived that socioeconomic risk as being more salient to the biological invasion compared to other risks depicted with the same color.
Figure 1 in Public risk perceptions associated with Asian carp introduction and corresponding response actions
Figure 1. Proportion of participants perceiving five different types of environmental impacts from a potential invasion of Asian Carp in Michigan as being low, medium or high risk, 2017 (n = 2,788).
Fig. 8 in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig. 8. Fitted linear model of the relationship between Actions' implementation before and after BAP.
Fig. 7 in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig. 7. Box-and-Whicker plots for Species Conservation and Habitats Conservation Sub-actions' implementation in points before and after BAP.
Figure 1 in Current knowledge of New Caledonian marine and freshwater ichthyofauna, SW Pacific Ocean: diversity, exploitation, threats and management actions
Figure 1. – Location of New Caledonia in the southwest Pacific. Dotted lines: limits of the New Caledonian EEZ, triangles: main seamounts, blue zones: UNESCO world heritage areas, and red hatched zones: fully protected marine areas. Modified from New Caledonian Government, Global seamounts database, The Pew charitable trust.
BRAIN Journal-Isolating the Norepinephrine Pathway Comparing Lithium in Bipolar Patients to SSRIs in Depressive Patients-Figure 2. Resting state neuroimaging findings illustrating the action of Lithium following whole brain
<p>The axial, saggital, and coronal MRI activation maps illustrate increased delta frequency band neuronal activity in the 46 patients<br> diagnosed with Bipolar Affective Disorder compared to 32 female patients diagnosed with Major Depressive Disorder of Depressive<br> Episode. The Yellow/Orange shades indicate increased neuronal activity in the right Superior Frontal Gyrus (t=0.920, p=0.05060,<br> BA 6, MNI X=20, Y=0, Z=70) and in the right Cingulate Gyrus (t=0.0846, BA 24, MNI X= 5, Y=0, Z=51). Structural anatomy is<br> shown in grey scale (A – anterior; S – superior; P – posterior; L – left; R – right).</p>
BRAIN Journal-Electrophysiological Neuroimaging using sLORETA Comparing 100 Schizophrenia Patients to 48 Patients with Major Depression -Figure 2. Resting State neuroimaging findings illustrating the action of atypical antipsychotics on postsynaptic dopamine D2
<p>Contrastingly, the results of the one-hundred males and females diagnosed with<br> Schizophrenia compared to the thirty-two females diagnosed with Major Depressive Disorder or<br> Depressive Episodes. The one-hundred male and female Schizophrenia patients had an average age<br> of 32-years-old and a Standard Deviation of 11.8-years. Whereas, the Depressive Episode and<br> Major Depressive Disorder females had an average age of 50-years old and a Standard Deviation of<br> 11.7-years. The statistically significant neuroimaging results identified the Delta (1.5–6 Hz)<br> frequency band at the neuroanatomical location of the region of the Superior Frontal Gyrus<br> (p=0.007; t=2.08, BA 10, X=25, Y=55, Z=30) with greater neuronal oscillations and synchrony in<br> the one-hundred males and females diagnosed with Schizophrenia than the thirty-two females<br> diagnosed with Depressive Episodes and Major Depressive Disorder.</p>
BRAIN Journal-Isolating the Norepinephrine Pathway Comparing Lithium in Bipolar Patients to SSRIs in Depressive Patients-Figure 1. Resting state neuroimaging findings illustrating the action of Lithium following whole brain
<p>The axial, saggital, and coronal MRI activation maps illustrate neuronal activity of 46 patients diagnosed with Bipolar Affective<br> Disorder compared to 16 male patients diagnosed with Major Depressive Disorder of Depressive Episode. The Yellow/Orange<br> shades indicate increased neuronal activity in the right Superior Temporal Gyrus (t=1.403, p=0.00780, BA 41, MNI X=45, Y= -35,<br> Z=10) with activation also in the Fusiform Gyrus (t=1.26, BA 20, MNI X= 45, Y= -35, Z=10), the Parahippocampal Gyrus (t=1.29,<br> BA 36, MNI X=45, Y= -35, Z=10). (b) Increased neuronal activity in the Cingulate Gyrus (t=1.06, BA 32, MNI X=45, Y= -35,<br> Z=10). Structural anatomy is shown in grey scale (A – anterior; S – superior; P – posterior; L – left; R – right).</p>
Brain Functors: A mathematical model of intentional perception and action-Figure 15: Mathematical butterfly diagram for a brain functor
<p>HomA(F(X),A) ≅ Het(X,A) ≅ HomX(X,G(A)). If the functor F also has a left adjoint H : A→X, then: HomX(H(A),X) ≅ Het(A,X) ≅ HomA(A,F(X)). Then taking the isomorphisms that do not involve G or H gives:<br> and Het(A,X) ≅ HomA(A,F(X)), i.e., F is a brain functor. Hence all functors that have both right and left adjoints are brain functors.<br> 16<br> HomA(F(X),A) ≅ Het(X,A)</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.