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59 results for “Syntax”

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ClinicalTrials.gov36/100

SYNTAX Study: TAXUS Drug-Eluting Stent Versus Coronary Artery Bypass Surgery for the Treatment of Narrowed Arteries

ClinicalTrials.gov study NCT00114972. IPD Sharing: Not stated. Countries: 18. Publications: 58.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad36/100

Long-distance dependencies in birdsong syntax

Open the record for dataset details and reuse information.

publicJan 2022View details →
zenodo32/100

Dataset and SPSS syntax for study 1 paper Implicit Agentic Narcissism

<p>Dataset and SPSS syntax study 1 paper on Implicit Agentic Narcissism.</p>

opencc-by-4.0May 2024View details →
dryad32/100

Coronary atherosclerotic burden assessed by SYNTAX scores and outcomes in surgical, percutaneous, or medical strategies: A retrospective cohort study

<div><span><strong>Introduction</strong></span></div> <div> </div> <div> <span>Coronary atherosclerotic burden and SYNTAX score (SS) are predictors of cardiovascular events.</span> </div> <div> </div> <div><span><strong>Objectives</strong></span></div> <div> </div> <div> <span>To investigate the value of SYNTAX scores (SS, SSII and residual SS [rSS]) for predicting cardiovascular events in patients with coronary artery disease (CAD).</span> </div> <div> </div> <div><strong><span>Design</span></strong></div> <div> </div> <div> <span>Retrospective cohort study.</span> </div> <div> </div> <div><strong><span>Setting</span></strong></div> <div> </div> <div> <span>Single tertiary centre.</span> </div> <div><strong> </strong></div> <div><strong><span>Participants</span></strong></div> <div> </div> <div> <span>Medicine, Angioplasty or Surgery Study (MASS) database patients with stable multivessel CAD and preserved ejection fraction.</span> </div> <div> </div> <div> <span>Interventions</span><span> CAD patients undergoing coronary artery bypass graft (CABG), percutaneous coronary intervention (PCI), or medical treatment (MT) alone from January 2002 to December 2015.</span> </div> <div> </div> <div> <span>Primary and secondary outcomes</span><span> Primary: 5-year all-cause mortality. Secondary: composite of all-cause death, myocardial infarction, stroke, and subsequent coronary revascularization at 5 years.</span> </div> <div> </div> <div><strong><span>Results</span></strong></div> <div> </div> <div> <span>A total of 1,719 patients underwent PCI (n = 573), CABG (n = 572), or MT (n = 574) alone. </span><span>The SS was not considered an independent predictor of 5-year mortality in the PCI </span><span>(low, intermediate and high SS 6.5%, 6.8% and 4.3%, respectively, p=0.745)</span><span>, CABG </span><span>(low, intermediate and high SS 5.7%, 8.0% and 12.1%, respectively, p=0.194)</span><span> and MT </span><span>(low, intermediate and high SS 6.8%, 6.9% and 6.5%, respectively, p=0.993)</span><span> cohorts. The SSII (low, intermediate and high SSII, 3.6% vs. 7.9% vs. 10.5%, respectively, p &lt;0.001) was associated with a higher mortality risk in the overall population. Within each treatment strategy, SSII was associated with a significant 5-year mortality rate, especially in CABG patients with higher SSII (</span><span>low, intermediate and high SSII, </span><span>1.8%, 9.7% and 10.0%, respectively, </span><span>p = 0.004) and in MT patients with high SSII (</span><span>low, intermediate and high SSII, 5.0%, 4.7% and 10.8%, respectively,</span><span> p = 0.031). </span><span>SSII demonstrated a better predictive accuracy for mortality compared with SS and rSS </span><span>(c-index = 0.62)</span><span>. </span> </div> <div> </div> <div><span><strong>Conclusions</strong></span></div> <div> </div> <div><span>Coronary atherosclerotic burden alone was not associated with significantly increased risk of all-cause mortality. The SSII better discriminates the risk of death. </span></div>

opencc-zeroAug 2022View details →
zenodo32/100

Label2Enable_T5.2.1_HealthcareProfessionals_Data&syntaxes_2023

<p>Raw data and data syntaxes</p>

opencc-by-4.0Sep 2023View details →
ClinicalTrials.gov32/100

Impact of Residual Syntax Score and Syntax Revascularization Index on Outcomes of ACS Patients With Multi-Vessel Disease

ClinicalTrials.gov study NCT03138473. IPD Sharing: NO. Countries: 1. Publications: 19.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Real-time Feedback of SYNTAX Score Category During Coronary Angiographies to Improve Appropriateness of Coronary Revascularization for Patients With Stable Coronary Artery Diseases: a Before-and-after

ClinicalTrials.gov study NCT03068858. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad32/100

Coronary atherosclerotic burden assessed by SYNTAX scores and outcomes in surgical, percutaneous, or medical strategies: A retrospective cohort study

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publicAug 2022View details →
zenodo28/100

Quantity doesn't buy quality syntax with neural language models

<p>This repository contains the 125 LSTM models analyzed in <a href="https://www.aclweb.org/anthology/D19-1592/">van Schijndel, Mueller, and Linzen (2019) &quot;Quantity doesn&#39;t buy quality syntax with neural language models&quot;</a>. Each archive contains 25 models trained on a specific number of training tokens. All models were trained to use the vocabulary in vocab.txt.</p> <p>The naming convention for each model is:<br> LSTM_[Hidden Units]_[Training Tokens]_[Training Partition]_[Random Seed]-d[Dropout Rate].pt</p> <p>Hidden Units: The number of hidden units per layer (there are two layers in each model) {100, 200, 400, 800, 1600}<br> Training Tokens: The number of tokens used to train each model {2m, 10m, 20m, 40m, 80m}<br> Training Partition: Five distinct training partitions were created for each amount of training data {a, b, c, d, e}<br> Random Seed: The random seed used to train each model*<br> Dropout Rate: All models used a dropout rate of 0.2</p> <p>*A scripting bug led to a random seed of 0 for all models trained on less than 40 million tokens. This does not substantively affect the analyses since each model is distinct in terms of the model configuration or training data, so we opted to not retrain the models with unique random seeds to save time and computational resources.</p>

opencc-by-4.0Nov 2019View details →
dryad28/100

Data from: A simple explanation for the evolution of complex song syntax in Bengalese finches

The songs of Bengalese finches (Lonchura striata var. domestica) have complex syntax and provide an opportunity to investigate how complex sequential behavior emerges via the evolutionary process. In the present study, we suggest that a simple mechanism, i.e., many-to-one mapping from internal states onto syllables, may underlie the emergence of apparent complex syllable sequences that have higher-order history dependencies. We analyzed the songs of Bengalese finches and of their wild ancestor, the white-rumped munia (Lonchura striata), whose songs are more stereotypical and simpler compared to those of Bengalese finches. The many-to-one mapping mechanism sufficiently accounted for the differences in the complexity of song syllable sequences of these two strains.

opencc-zeroDec 2012View details →
ClinicalTrials.gov28/100

ASSOCIATION BETWEEN SYNTAX SCORE AND LEUKOGLYCEMIC INDEX IN PATIENTS WIHT ACUTE CORONARY SYNDROME

ClinicalTrials.gov study NCT07276256. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

Synergy Between PCI With TAXUS and Cardiac Surgery: SYNTAX Extended Survival

ClinicalTrials.gov study NCT03417050. IPD Sharing: NO. Countries: 0. Publications: 57.

closedIPD-NOFeb 2026View details →
dryad28/100

Data from: A simple explanation for the evolution of complex song syntax in Bengalese finches

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publicOct 2014View details →
geo24/100

Chromatin-dependent motif syntax defines differentiation trajectories

GEO Series GSE272555. Mus musculus. 295 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.

openGEO-OpenAug 2025View details →
geo24/100

Transcriptomics, Regulatory Syntax, and Enhancer Identification in Heterogenous Populations of Mesoderm-Induced ESCs at Single-Cell Resolution

GEO Series GSE198730. Mus musculus. 39 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.

openGEO-OpenJul 2022View details →
zenodo24/100

Syntax vs Semantics: Comparing Consistency Proofs for Minimal Propositional Logics

<p>&nbsp; Consistency is a key property of any logical system. However, proofs of<br> &nbsp; consistency usually rely on heavy proof theory notions like admissibility<br> &nbsp; of cut. A more semantics-based approach to consistency proofs explores the<br> &nbsp; correspondence between a logic and its relationship with the<br> &nbsp; evaluation in a lambda-calculus, known as Curry-Howard isomorphism.<br> &nbsp; In this work, we present a comparison between two<br> &nbsp; formalizations of consistency for minimal propositional logic: one using a<br> &nbsp; semantic-based approach and another following the (traditional) syntactic,<br> &nbsp; proof-theoretical approach in both Coq proof assistant and Agda programming<br> &nbsp; language. We conclude by discussing the lessons learned during<br> &nbsp; the cerfication of these results in both languages.</p>

opencc-by-4.0Oct 2020View details →
zenodo24/100

Applying Process Dissociation to Self-Sacrificial Moral Dilemmas: Extending the Dual-Process Model (Analysis Syntax Included)

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opencc-by-4.0Oct 2023View details →
zenodo24/100

Supplementary Materials for article entitles 'Nominal and verbal syntax in translation and interpreting. Evidence from English speeches made in the European Parliament and their German translations and interpretations', submitted to Languages

<p>The Supplementary Materials contain the transcriptions (raw and tagged, &#39;sample_df.tsv&#39;), the data frames with POS-frequencies, with (&#39;pos_freqs_PART_split.tsv&#39;) and without (&#39;pos_freqs.tsv&#39;) the PART-split in the German data, the data frames for the identification of interpreters (&#39;voice_embeddings.csv&#39;), an R-script for the statistical analysis and generation of plots (&#39;stats.R&#39;) as well as the plots (folder &#39;plots&#39;).</p>

opencc-by-4.0Dec 2022View details →
ClinicalTrials.gov24/100

Relationship Between Heme Oxygenase 1 Enzyme Level and Coronary SYNTAX Score

ClinicalTrials.gov study NCT04070014. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Erectile Dysfunction Progression After Percutaneous Coronary Angiography: Is Residual SYNTAX Score a Predictive Marker

ClinicalTrials.gov study NCT07010913. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

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Allen Brain Atlas

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record