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112 results for “ck”
TensorFlow models for CK object detection
<p>Tarball containing the yolo model for the tensorflow object detection program in CK repositories</p> <p> </p>
Evolução das Métricas CK no Projeto Cucumber-JVM
<p>Este conjunto de dados contém a análise das métricas CK (WMC, DIT, NOC, CBO, LCOM, RFC e LOC) do projeto open source Cucumber-JVM. Inclui CSVs com dados coletados e gráficos da evolução das métricas ao longo de 25 releases. O estudo visa avaliar a qualidade do software e identificar tendências nas métricas ao longo do tempo.</p>
Stream stage and water table elevation in hyporheic and ground water from McRae Ck well network, Andrews Experimental Forest, 1989-1993
Measurements of stream stage of McRae Ck and water table heights from a network of shallow wells located adjacent to the stream. Data were collected from September 1989 to September 1992 on an irregular basis to sample both baseflow periods and storm events across seasons of the year. Stage height was read from staff plates permanently located at several location in the mainstem channel and in a small back channel; water table elevations were measured with a weighted measuring tape with a visible signal when the tape touched the water in the well.
Dose-finding Study to Evaluate the Safety, Tolerability, PK, and PD of CK-3773274 in Adults With HCM
ClinicalTrials.gov study NCT04219826. IPD Sharing: NO. Countries: 4. Publications: 2.
PK and Tolerability of IV and Oral CK-1827452 in Patients With Ischemic Cardiomyopathy and Angina
ClinicalTrials.gov study NCT00682565. IPD Sharing: Not stated. Countries: 2. Publications: 1.
A Study to Evaluate Efficacy, Safety and Tolerability of CK-2127107 in Patients With Amyotrophic Lateral Sclerosis (ALS)
ClinicalTrials.gov study NCT03160898. IPD Sharing: NO. Countries: 6. Publications: 5.
A Study of CK-1827452 Infusion in Stable Heart Failure
ClinicalTrials.gov study NCT00624442. IPD Sharing: Not stated. Countries: 4. Publications: 2.
Dataset for Vliv dobijeni elektromobilu na pomery v distribucni soustave from CK CIRED Tabor 2018 Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex from SEST2019 Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex from ISGT2019 Evropský projekt InterFlex from CK CIRED Tabor 2017
<p>Dataset for</p> <p>Vliv dobijeni elektromobilu na pomery v distribucni soustave from CK CIRED Tabor 2018</p> <p>Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex from SEST2019</p> <p>Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex from ISGT2019</p> <p>Evropský projekt InterFlex from CK CIRED Tabor 2017</p>
Script and Quality Métrics Extracted from CK Calculator
<p>This project involves creating a script for mining data on code metrics, tests, and bugs from Java project repositories.</p> <p><strong>Technologies Used:</strong></p> <ul> <li><strong>Pydriller</strong>: To clone repositories and traverse releases.</li> <li><strong>CK</strong>: To extract code metrics.</li> <li><strong>JaCoCo</strong>: To extract test coverage metrics.</li> <li><strong>SpotBugs</strong>: To extract bug reports.</li> <li><strong>FindSecBugs</strong>: To include security bugs in the bug reports.</li> </ul> <h3><strong>How to Run</strong></h3> <p><strong>Requirements:</strong></p> <ul> <li>Python 3 installed.</li> <li>Java 17 or higher installed.</li> <li>SpotBugs installed and configured in the PATH.</li> <li>FindSecBugs plugin installed.</li> </ul> <p><strong>Steps:</strong></p> <ol> <li>Clone this repository to your machine.</li> <li>Run the Python script.</li> </ol> <p><strong>Note:</strong><br>When executing, the script will ask if you want to traverse releases.</p> <ul> <li>Type <strong>N</strong> if you already have generated reports and want to perform only the analyses and plots.</li> <li>Type <strong>S</strong> to perform the complete operation.</li> </ul> <h3><strong>Result Organization</strong></h3> <p>The results will be organized into three different folders:</p> <ol> <li> <p><strong>Reports</strong>:<br>Contains raw data generated by third-party tools (CK, JaCoCo, SpotBugs). This is where you'll find tool-generated outputs.</p> </li> <li> <p><strong>Analysis-results</strong>:<br>Includes numerical results derived from the reports, used for plot generation. It also provides detailed numerical insights for specific queries.</p> </li> <li> <p><strong>Plots</strong>:<br>Graphical representations of the analyses.</p> </li> </ol> <h3><strong>Interpreting Metrics</strong></h3> <h4><strong>Code Metrics</strong></h4> <ol> <li> <p><strong>WMC (Weighted Methods per Class)</strong></p> <ul> <li>Measures total method complexity in a class.</li> <li><strong>Increasing Mean/Median</strong>: Classes are generally becoming more complex.</li> <li><strong>Increasing/Decreasing Variance</strong>: Complexity dispersion among classes is growing/shrinking.</li> </ul> </li> <li> <p><strong>DIT (Depth of Inheritance Tree)</strong></p> <ul> <li>Measures maximum inheritance depth of a class.</li> <li><strong>Increasing/Decreasing Mean</strong>: Average inheritance depth is increasing/reducing.</li> </ul> </li> <li> <p><strong>NOC (Number of Children)</strong></p> <ul> <li>Number of subclasses derived directly from a class.</li> <li><strong>Increasing/Decreasing Mean</strong>: More/fewer classes are being used as superclasses.</li> </ul> </li> <li> <p><strong>CBO (Coupling Between Objects)</strong></p> <ul> <li>Number of other classes a class is directly coupled to.</li> <li><strong>Increasing/Decreasing Mean</strong>: Classes are becoming more/less interdependent.</li> </ul> </li> <li> <p><strong>LCOM1 (Lack of Cohesion of Methods)</strong></p> <ul> <li>Measures cohesion among methods within a class.</li> <li><strong>Increasing Mean</strong>: Classes are becoming less cohesive.</li> </ul> </li> <li> <p><strong>RFC (Response for a Class)</strong></p> <ul> <li>Number of methods that can be invoked in response to a call.</li> <li><strong>Increasing Mean</strong>: Classes are becoming more interconnected.</li> </ul> </li> <li> <p><strong>LOC (Lines of Code)</strong></p> <ul> <li>Total lines of code in a class.</li> <li><strong>Increasing Mean</strong>: Classes are generally growing in size.</li> </ul> </li> </ol> <h4><strong>Test Metrics</strong></h4> <ol> <li> <p><strong>Instruction Missed/Covered</strong>:</p> <ul> <li>Tracks instructions not covered or covered by tests.</li> <li><strong>Increasing/Decreasing Mean</strong>: Indicates changes in overall test coverage.</li> </ul> </li> <li> <p><strong>Branch Missed/Covered</strong>:</p> <ul> <li>Tracks decision branches not covered or covered by tests.</li> </ul> </li> <li> <p><strong>Line Missed/Covered</strong>:</p> <ul> <li>Tracks lines of code not covered or covered by tests.</li> </ul> </li> <li> <p><strong>Complexity Missed</strong>:</p> <ul> <li>Cyclomatic complexity not covered by tests.</li> </ul> </li> </ol>
CK+
<p>The Extended Cohn-Kanade (<strong>CK+</strong>) dataset contains 593 video sequences from a total of 123 different subjects, ranging from 18 to 50 years of age with a variety of genders and heritage. Each video shows a facial shift from the neutral expression to a targeted peak expression, recorded at 30 frames per second (FPS) with a resolution of either 640x490 or 640x480 pixels. Out of these videos, 327 are labelled with one of seven expression classes: anger, contempt, disgust, fear, happiness, sadness, and surprise. The CK+ database is widely regarded as the most extensively used laboratory-controlled facial expression classification database available, and is used in the majority of facial expression classification methods.</p>
Measurement of TNF‐α, CK-MB, LDH, IL‐1 and IL-6 levels for anti-inflammatory effect of omega-7 against doxorubicin-induced cardiotoxicity in male rats: an observational study
<p>Measurement of TNF‐α, CK-MB, LDH, IL‐1 and IL-6 levels for anti-inflammatory effect of omega-7 against doxorubicin-induced cardiotoxicity in male rats: an observational study</p>
A Randomized, Open-label, Two-way Crossover Study to Assess the Pharmacokinetics and Safety of CK-30 600 mg (Compound K)
ClinicalTrials.gov study NCT03136770. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Safety, Tolerability and Pharmacokinetics Study of CK-3773274
ClinicalTrials.gov study NCT04783766. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study on Safety and Efficacy of Two Doses of PRS CK STORM in the Modulation of the Cytokine Storm for the Treatment of Acute Respiratory Distress Syndrome (ARDS) Caused by SARS-Cov-2, Influenza A, Inf
ClinicalTrials.gov study NCT06684379. IPD Sharing: NO. Countries: 1. Publications: 3.
A Study to Evaluate the Effects of Multiple Doses of CK-2017357 in Patients With Amyotrophic Lateral Sclerosis (ALS)
ClinicalTrials.gov study NCT01378676. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study of CK-2017357 in Patients With Peripheral Artery Disease and Symptomatic Claudication
ClinicalTrials.gov study NCT01131013. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study of CK-2017357 in Patients With Amyotrophic Lateral Sclerosis (ALS)
ClinicalTrials.gov study NCT01089010. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pharmacodynamic Study of CK-2017357 in Patients With Generalized Myasthenia Gravis
ClinicalTrials.gov study NCT01268280. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of Anterior Corneal Optical Aberration Induced by CK and Hyperopic LASIK
ClinicalTrials.gov study NCT04676620. IPD Sharing: NO. Countries: 1. Publications: 3.
A Single and Multiple Ascending Dose Study of CK-3773274 in Healthy Adult Subjects
ClinicalTrials.gov study NCT03767855. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.