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45 results for “icm”
IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift Evaluation Dataset
<p>The Chinese Acoustic Scene (CAS) 2023 dataset is a large-scale dataset that serves as a foundation for research related to environmental acoustic scenes. The dataset includes 10 common acoustic scenes, with a total duration of over 130 hours. Each audio clip is 10 seconds long with metadata about the recording location and timestamp. The dataset was collected by members of the <em>Joint Laboratory of Environmental Sound Sensing at the School of Marine Science and Technology, Northwestern Polytechnical University</em>. The data collection period spanned from April 2023 to September 2023, covering 22 different cities across China. The CAS 2023 dataset was collected using the XS-SN-2BE1 manufactured by <em>Xi'an Lianfeng Acoustic Technologies Co., Ltd</em> (https://www.lfxstek.com/). </p> <p>The ICME 2024 <em>Semi-supervised Acoustic Scene Classification under Domain Shift</em> challenge (https://2024.ieeeicme.org/grand-challenge-proposals/, https://ascchallenge.xshengyun.com/) dataset consists of development (https://zenodo.org/records/10616533) and evaluation datasets, all derived from the CAS 2023 dataset. The evaluation dataset includes 1,100 recordings, where data are selected from 12 cities, with 5 unseen cities specifically chosen to provide a more comprehensive evaluation of submissions under domain shift.</p> <p>Baseline: https://github.com/JishengBai/ICME2024ASC</p> <p>Acoustic scenes (10): Bus, Airport, Metro, Restaurant, Shopping mall, Public square, Urban park, Traffic street, Construction site, Bar</p>
Linked collectors and determiners for: Zariquiey Collection. Biological Reference Collections ICM CSIC..
Natural history specimen data linked to collectors and determiners held within, "Zariquiey Collection. Biological Reference Collections ICM CSIC.". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/791a7459-7b58-444c-af46-84db6f8576ef">https://bionomia.net/dataset/791a7459-7b58-444c-af46-84db6f8576ef</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/791a7459-7b58-444c-af46-84db6f8576ef">https://gbif.org/dataset/791a7459-7b58-444c-af46-84db6f8576ef</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Biological Reference Collections ICM-CSIC.
Natural history specimen data linked to collectors and determiners held within, "Biological Reference Collections ICM-CSIC". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1d743188-1e65-4d99-a814-fa3fd51f1490">https://bionomia.net/dataset/1d743188-1e65-4d99-a814-fa3fd51f1490</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1d743188-1e65-4d99-a814-fa3fd51f1490">https://gbif.org/dataset/1d743188-1e65-4d99-a814-fa3fd51f1490</a>. Formatted as a Frictionless Data package.
Trial of ICM With or Without AZD2281 (Olaparib) in Patients With Advanced Pancreatic Cancer
ClinicalTrials.gov study NCT01296763. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Article: Modeling Mouse ICM - Partial Data Bank
<p>Our study presents a spatial-stochastic model for the gene regulatory network (GRN) and the signaling pathway governing cell-fate differentiation during early mouse embryogenesis, specifically at the blastocyst stage. Departing from biophysics-based models of gene regulation, we perform stochastic simulations of the biochemical processes driving early mouse embryogenesis both at the cell and tissue level. Combining these simulations with state-of-the-art AI-aided inference techniques, we successfully parameterize our model, replicating key experimental observations and providing mechanistic insights into the biochemical interactions giving rise to them. Thanks to the stochastic nature of our approach, we quantify the high robustness of ICM specification to various kinds of noise, and provide quantitative predictions for the effects of diverse experimentally testable perturbations. Altogether, we provide a deeper understanding of the intricate mechanisms driving early cell-fate decisions in mouse embryogenesis, highlighting the synergy of local cellular and broader tissue-scale interactions that shape development.</p>
O ICMS SOBRE A TUSD/TUST E O PANORAMA DO JUDICIÁRIO
Open the record for dataset details and reuse information.
Article: Modeling Mouse ICM - Complete Data Bank - Part II
<p>Our study presents a spatial-stochastic model for the gene regulatory network (GRN) and the signaling pathway governing cell-fate differentiation during early mouse embryogenesis, specifically at the blastocyst stage. Departing from biophysics-based models of gene regulation, we perform stochastic simulations of the biochemical processes driving early mouse embryogenesis both at the cell and tissue level. Combining these simulations with state-of-the-art AI-aided inference techniques, we successfully parameterize our model, replicating key experimental observations and providing mechanistic insights into the biochemical interactions giving rise to them. Thanks to the stochastic nature of our approach, we quantify the high robustness of ICM specification to various kinds of noise, and provide quantitative predictions for the effects of diverse experimentally testable perturbations. Altogether, we provide a deeper understanding of the intricate mechanisms driving early cell-fate decisions in mouse embryogenesis, highlighting the synergy of local cellular and broader tissue-scale interactions that shape development.</p>
Article: Modeling Mouse ICM - Complete Data Bank - Part III
<p>Our study presents a spatial-stochastic model for the gene regulatory network (GRN) and the signaling pathway governing cell-fate differentiation during early mouse embryogenesis, specifically at the blastocyst stage. Departing from biophysics-based models of gene regulation, we perform stochastic simulations of the biochemical processes driving early mouse embryogenesis both at the cell and tissue level. Combining these simulations with state-of-the-art AI-aided inference techniques, we successfully parameterize our model, replicating key experimental observations and providing mechanistic insights into the biochemical interactions giving rise to them. Thanks to the stochastic nature of our approach, we quantify the high robustness of ICM specification to various kinds of noise, and provide quantitative predictions for the effects of diverse experimentally testable perturbations. Altogether, we provide a deeper understanding of the intricate mechanisms driving early cell-fate decisions in mouse embryogenesis, highlighting the synergy of local cellular and broader tissue-scale interactions that shape development.</p>
Article: Modeling Mouse ICM - Complete Data Bank - Part I
<p>Our study presents a spatial-stochastic model for the gene regulatory network (GRN) and the signaling pathway governing cell-fate differentiation during early mouse embryogenesis, specifically at the blastocyst stage. Departing from biophysics-based models of gene regulation, we perform stochastic simulations of the biochemical processes driving early mouse embryogenesis both at the cell and tissue level. Combining these simulations with state-of-the-art AI-aided inference techniques, we successfully parameterize our model, replicating key experimental observations and providing mechanistic insights into the biochemical interactions giving rise to them. Thanks to the stochastic nature of our approach, we quantify the high robustness of ICM specification to various kinds of noise, and provide quantitative predictions for the effects of diverse experimentally testable perturbations. Altogether, we provide a deeper understanding of the intricate mechanisms driving early cell-fate decisions in mouse embryogenesis, highlighting the synergy of local cellular and broader tissue-scale interactions that shape development.</p>
Evaluation of the Improvement of Primary Prevention in Ischemic Cardiomyopathy Patients Using New Screening and Referring System (Advance-ICM)
ClinicalTrials.gov study NCT03590925. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Observation of Clinical Routine Care for Patients With BIOTRONIK Implantable Cardiac Monitors (ICMs)
ClinicalTrials.gov study NCT04075084. IPD Sharing: Not stated. Countries: 9. Publications: 1.
Antimicrobial Efficacy of Nano-Based ICM on E.F
ClinicalTrials.gov study NCT06533215. IPD Sharing: NO. Countries: 1. Publications: 2.
ICM to Evaluate the Activation of p.Phe508del-CFTR by Lumacaftor in Combination With Ivacaftor
ClinicalTrials.gov study NCT02807415. IPD Sharing: YES. Countries: 1. Publications: 5.
MHD field line tracing for 2017 Sept ICME study
Open the record for dataset details and reuse information.
Figures 1-5 from: Santos-Jr AP, Almeida-Santos DA, Ribeiro S, Carmargo ICM, da Costa Prudente AL (2019) Distribution extension of Phimophis guerini (Serpentes: Dipsadidae: Xenodontinae) in the Brazilian Amazon. Zoologia 36: 1-6. https://doi.org/10.3897/zoologia.36.e27645
Figures 1-5 Habitat and specimens of Phimophisguerini collected in an amazon savanna area in Santarém, Pará, Brazil: (1) specimen collection environment; (2) living specimen MPEG 2638; (3–5) dorsal, lateral and ventral views, respectively, of the head of specimen UFOPA-H 0249. Scale bars: 5 mm.
Figure 6 from: Santos-Jr AP, Almeida-Santos DA, Ribeiro S, Carmargo ICM, da Costa Prudente AL (2019) Distribution extension of Phimophis guerini (Serpentes: Dipsadidae: Xenodontinae) in the Brazilian Amazon. Zoologia 36: 1-6. https://doi.org/10.3897/zoologia.36.e27645
Figure 6 Updated geographic distribution of Phimophisguerini in Brazil, showing the new record (star) in western Pará, Brazil. Previous records (circles) were taken from the following publications: Costa et al. (2010), Pereira-Filho et al. (2012)França et al. (2006, 2013), França et al. (2012), Marques et al. (2012), Maschio et al. (2012), Santos and Vaz-Silva (2012)Tavares et al. (2012).
Plenary and Invited Speakers of the International Congress of Mathematicians (ICM)
<p>This file contains information on plenary and invited speakers of the International Congress of Mathematicians (ICM). All speaker names and congress dates up to the ICM-2014 were extracted programmatically in February 2018 from the Wikipedia website ‘List of International Congresses of Mathematicians Plenary and Invited Speakers’ (https://en.wikipedia.org/w/index.php?title=List_of_International_Congresses_of_Mathematicians_Plenary_and_Invited_Speakers). The data was further enriched with gender, country of citizenship, date of birth and employer using Wikidata. For speakers invited to the ICM 2018 in Rio de Janeiro, we extracted their names, country of citizenship and the ICM sections of their talks from the official ICM 2018 website.</p> <p>Using the Python package <em>gender-guesser</em> the gender of the speakers was inferred using their forenames when this information was missing. For speakers whose names are not highly correlated with only one gender (across different countries and languages), and for which gender-guesser hence did not produce a definite gender assignment, this information was filled manually, mainly based on field knowledge and Internet research. The assignment of talks to ICM sections was performed using data from the International Mathematical Union (https://www.mathunion.org/icm-plenary-and-invited-speakers). For various authors, in particular for all women, missing demographic information was filled manually.</p>
AI-Based Prediction of Atrial Fibrillation in ESUS Patients With ICM
ClinicalTrials.gov study NCT07347691. IPD Sharing: NO. Countries: 1. Publications: 0.
Comparison of the Performance of ICM and CIED in Detecting AF
ClinicalTrials.gov study NCT04940156. IPD Sharing: NO. Countries: 1. Publications: 0.
Gene expression profiles of mouse embryonic fibroblasts (MEFs), induced cardiomyocytes (iCMs) and heart
GEO Series GSE56875. Mus musculus. 10 samples. Type: Expression profiling by array.
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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.