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35 results for “CAA”
Multi-label Tweet Dataset for Textual Propaganda Detection related to anti-CAA protest in India (2019-2021)
<p>This is a collection of English Tweets about the Citizenship (Amendment) Bill protests that occurred in India in 2019-2021. The dataset contains tweet instances multiple labels for identified propaganda techniques. The data set consists of tweet ids, hashtags used, and corresponding propaganda techniques. Labels have been automatically generated using Weak Supervision. </p> <p>As of 2023, there are very limited textual propaganda detection dataset for Tweets. This dataset is released to facilitate future research as propaganda has become omnipresent in modern social media. </p> <p> </p> <p> </p>
Dataset: China Automotive Systems, Inc. (CAAS) 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.
Base editing strategies to convert CAG to CAA diminish the disease-causing mutation in Huntington's disease
<p>An expanded CAG repeat in the huntingtin gene (<em>HTT</em>) causes Huntington's disease (HD). Since the length of uninterrupted CAG repeat, not polyglutamine, determines the age-at-onset in HD, base editing strategies to convert CAG to CAA are anticipated to delay onset by shortening the uninterrupted CAG repeat. Here, we developed base editing strategies to convert CAG in the repeat to CAA and determined their molecular outcomes and effects on relevant disease phenotypes. Base editing strategies employing combinations of cytosine base editors and gRNAs efficiently converted CAG to CAA at various sites in the CAG repeat without generating significant indels, off-target edits, or transcriptome alterations, demonstrating their feasibility and specificity. Candidate BE strategies converted CAG to CAA on both expanded and non-expanded CAG repeats without altering <em>HTT</em> mRNA and protein levels. In addition, somatic CAG repeat expansion, which is the major disease driver in HD, was significantly decreased in the liver by a candidate BE strategy treatment in HD knock-in mice carrying canonical CAG repeats. Notably, CAG repeat expansion was abolished entirely in HD knock-in mice carrying CAA-interrupted repeats, supporting the therapeutic potential of CAG-to-CAA conversion strategies in HD and potentially other repeat expansion disorders.</p>
Base editing strategies to convert CAG to CAA diminish the disease-causing mutation in Huntington's disease
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Dataset of conversation graphs from 2019 Anti CAA protest in India
<p>To facilitate future research in online social movements, we are publishing this dataset of conversation graphs in the from the 2019 anti-CAA protest tweets. The conversation graph dataset has two types of conversations:</p><p>• <strong>Mention Graphs</strong>: In this, vertices are users and (directed) edges represent any interaction between the users. Within the context of our dataset, these interactions are limited to mentions alone when a user refers to another user directly by username.</p><p>• <strong>Reply Graphs:</strong> In this case, vertices are users, and a (directed) edge exists if one user replies to another.</p><p><strong>The reply graph is built as follows:</strong></p><ul><li>Since replies often form chains, find the root 'destination' user nodes that have been replied to at least once.</li><li> Find all the immediate next-level users who directly replied to the root nodes (these are 'source' nodes)</li><li>Iteratively map the immediate next level of users who reply to the previous level of corresponding users, stopping when all of the users in the next level have not been replied to (leaf users, so to say).</li></ul><p><strong>The mention graph is built as follows:</strong></p><ul><li>Since replies often form chains, find the root 'destination' user nodes that have been replied to at least once.</li><li>Find all the immediate next-level users who directly replied to the root nodes (these are 'source' nodes)</li><li>Iteratively map the immediate next level of users who reply to the previous level of corresponding users, stopping when all of the users in the next level have not been replied to (leaf users, so to say).</li></ul><p>Additionally, the dataset has the users and conversation graphs labeled for emotion and toxicity. Motif count has been provided for each of the graph. </p><p>To maintain confidentiality as per Twitter guidelines, user ids are anonymized and Tweet IDs and Tweet texts are not part of the dataset. </p>
Pre-2023 logos for CAA-NL-FL
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Safety and Efficacy of Remote Ischemic Conditioning on Cerebral Amyloid Angiopathy. (RIC-CAA)
ClinicalTrials.gov study NCT05207475. IPD Sharing: NO. Countries: 1. Publications: 2.
Observational Study for Feasibility and Performance of Sub-millisievert Coronary Computed Tomography Angiography (CCTA) for Coronary Artery Anomalies (CAA) in Paediatric Patients
ClinicalTrials.gov study NCT03194763. IPD Sharing: NO. Countries: 1. Publications: 1.
Application of Digital Twins' Technology in Patients Who Had a Stroke, with Moyamoya Disease and with Cerebral Amyloid Angiopathy (CAA) During the Secondary Prevention Phase: a Proof of Concept Using
ClinicalTrials.gov study NCT06714097. IPD Sharing: NO. Countries: 1. Publications: 4.
Detection of Schistosomiasis CAA in Travellers After High-risk Water Contact
ClinicalTrials.gov study NCT02194712. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Schistosomiasis Diagnosis Using a CAA Antigen Test
ClinicalTrials.gov study NCT03779347. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Brain Hemorrhage and Functional Outcome in Stroke Patients With CAA Features on Pre-thrombolysis MRI Treated With Intravenous Thrombolysis (Thrombolysis in CAA) ( Thromb in CAA )
ClinicalTrials.gov study NCT05565144. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Figure 3 from: Berbel-Filho WM, Barros-Neto LF, Dias RM, Mendes LF, Figueiredo CAA, Torres RA, Lima SMQ (2018) Poecilia vivipara Bloch & Schneider, 1801 (Cyprinodontiformes, Poeciliidae), a guppy in an oceanic archipelago: from where did it come? ZooKeys 746: 91-104. https://doi.org/10.3897/zookeys.746.20960
Figure 3 Map with the sampling sites of individuals used on genetic analyses. Circles represent sampled sites. Squares represent sequences retrieved from GenBank. An asterisk represents the type locality of Poecilia vivipara. Different colours represent different phylogenetic clades. Sampling sites: 1 Margarita island 2 Maceió 3 Jaguaribe 4 Piranhas-Açu 5 Potengi 6 Paraíba do Norte 7 Ipojuca 8 São Francisco 9 Piauí 10 São João 11 Paraná.
Figure 2 from: Berbel-Filho WM, Barros-Neto LF, Dias RM, Mendes LF, Figueiredo CAA, Torres RA, Lima SMQ (2018) Poecilia vivipara Bloch & Schneider, 1801 (Cyprinodontiformes, Poeciliidae), a guppy in an oceanic archipelago: from where did it come? ZooKeys 746: 91-104. https://doi.org/10.3897/zookeys.746.20960
Figure 2 Sampling site of Poecilia vivipara in the border of the mangrove at Maceió River microbasin, Fernando de Noronha Archipelago, Pernambuco, Brazil.
Figure 1 from: Berbel-Filho WM, Barros-Neto LF, Dias RM, Mendes LF, Figueiredo CAA, Torres RA, Lima SMQ (2018) Poecilia vivipara Bloch & Schneider, 1801 (Cyprinodontiformes, Poeciliidae), a guppy in an oceanic archipelago: from where did it come? ZooKeys 746: 91-104. https://doi.org/10.3897/zookeys.746.20960
Figure 1 Live male of Poecilia vivipara, UFRN 0225, 25.2 mm SL. Maceió River microbasin, Fernando de Noronha Archipelago, Pernambuco, Brazil.
Figure 5 from: Berbel-Filho WM, Barros-Neto LF, Dias RM, Mendes LF, Figueiredo CAA, Torres RA, Lima SMQ (2018) Poecilia vivipara Bloch & Schneider, 1801 (Cyprinodontiformes, Poeciliidae), a guppy in an oceanic archipelago: from where did it come? ZooKeys 746: 91-104. https://doi.org/10.3897/zookeys.746.20960
Figure 5 Haplotype network showing intraspecific relationships among Poecilia vivipara haplotypes. Empty circles represent non-sampled haplotypes. Thin bars on branches represent mutational steps.
Figure 4 from: Berbel-Filho WM, Barros-Neto LF, Dias RM, Mendes LF, Figueiredo CAA, Torres RA, Lima SMQ (2018) Poecilia vivipara Bloch & Schneider, 1801 (Cyprinodontiformes, Poeciliidae), a guppy in an oceanic archipelago: from where did it come? ZooKeys 746: 91-104. https://doi.org/10.3897/zookeys.746.20960
Figure 4 Rooted Bayesian phylogenetic reconstruction tree of Cytochrome Oxidase I mitochondrial gene of Poecilia vivipara. Number in nodes represents the value of posterior probability.
CAA Food - Wie sieht mein Teller aus? Arbeitsmaterial
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CAA Food - Bilder "Netzwerke der Natur"
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CAA Food - Bilder Projekte
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