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6,452 results for “Application”

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zenodo28/100

Fig. 2 in Stilbenes: Source plants, chemistry, biosynthesis, pharmacology, application and problems related to their clinical Application-A comprehensive review

Fig. 2. Basic structures of stilbenes.

opennotspecifiedMay 2022View details →
zenodo28/100

Fig. 7 in Stilbenes: Source plants, chemistry, biosynthesis, pharmacology, application and problems related to their clinical Application-A comprehensive review

Fig. 7. Structures of representative pentameric and hexameric stilbenes.

opennotspecifiedMay 2022View details →
zenodo28/100

Fig. 4 in Stilbenes: Source plants, chemistry, biosynthesis, pharmacology, application and problems related to their clinical Application-A comprehensive review

Fig. 4. Structures of representative dimeric stilbenes.

opennotspecifiedMay 2022View details →
zenodo28/100

Fig. 8 in Stilbenes: Source plants, chemistry, biosynthesis, pharmacology, application and problems related to their clinical Application-A comprehensive review

Fig. 8. Structures of representative heptameric and octameric stilbenes.

opennotspecifiedMay 2022View details →
zenodo28/100

Faceted navigation of social tagging applications

<p>The goal of this paper is to conduct an analysis of seventeen existing and proposed methodologies for the use of facets in social tagging applications, with particular emphasis placed&nbsp;on the extent to which these methodologies address the following questions:<br> ● How do you choose facets that can apply generally to all subjects in social tagging&nbsp;applications<br> ● How many facets would suffice to cover site members&rsquo; needs?<br> ● Who should choose the facets?<br> ● How do you ensure that the facets chosen reflect the needs of the site members?<br> ● How do you maintain the facets and impose quality control over them?<br> Results of this analysis indicate that these methodologies provide insufficient guidelines for&nbsp;the choice, evaluation, and maintenance of the facets.<br> An underlying problem in many of these studies is their lack of clear definitions of what&nbsp;constitutes a facet. The lack of emphasis on the mutual exclusivity of facets is particularly&nbsp;troublesome, since it is perhaps this attribute that would determine the effectiveness of<br> facets in a social tagging application. Most of the proposed methodologies do not address&nbsp;how facets are to be derived or maintained.<br> A proposed framework for a more rigorous approach to the incorporation of facets into&nbsp;social tagging applications is presented to facilitate the use of facet analysis as a bridge&nbsp;between the benefits of the grassroots, bottom-up approach to the selection of tags, and&nbsp;a more controlled and efficient organization and visual browsing of tags in social tagging&nbsp;applications.</p>

opencc-ncJul 2011View details →
zenodo28/100

Fig. 4 in Acetogenins from Annonaceae family. Their potential biological applications

Fig. 4. ACG and AHLs.

opennotspecifiedJun 2020View details →
zenodo28/100

Fig. 2 in Acetogenins from Annonaceae family. Their potential biological applications

Fig. 2. Tetrahydrofuran (THF), tetrahydropyran (THP), epoxy and γ-lactone systems in ACGs.

opennotspecifiedJun 2020View details →
zenodo28/100

Fig. 1 in Acetogenins from Annonaceae family. Their potential biological applications

Fig. 1. General structure of acetogenins.

opennotspecifiedJun 2020View details →
zenodo28/100

Fig. 5 in Acetogenins from Annonaceae family. Their potential biological applications

Fig. 5. The ACGs act only as stressors.

opennotspecifiedJun 2020View details →
zenodo28/100

Fig. 3 in Acetogenins from Annonaceae family. Their potential biological applications

Fig. 3. ACGs mechanism of action in the artificial lipid membranes of POPC.

opennotspecifiedJun 2020View details →
zenodo28/100

Stability and Control of RT-VCM employed for Moving Mirror Control in FTIR Spectroscopy within the Realms of Biomedical Applications using FOPID Controller

<p>Table. 2 Variation and Selection of non-integer order &nbsp;with lamda 0.2</p>

opencc-by-4.0Sep 2023View details →
zenodo28/100

GcForest-based Compound-Protein Interaction Prediction Model and Its Application in Discovering Small-Molecule Drugs Targeting CD47

<p><strong>This is a file of all raw data and processed data concerned in the article &quot;GcForest-based Compound-Protein Interaction Prediction Model and Its Application in Discovering Small-Molecule Drugs Targeting CD47&quot;, this file contain 6 sub-files, namely&nbsp;GCVec&mdash;&mdash;humans,&nbsp;GCVec&mdash;&mdash;celegans,&nbsp;GCVec&mdash;&mdash;challenging dataset,&nbsp;GCVec&mdash;&mdash;latest BindingDB, GCVec&mdash;&mdash;known&nbsp;CD47 inhibitors,&nbsp;GCVec&mdash;&mdash;specs, respectively, fully cover all parts of the article.</strong></p>

opencc-by-4.0Oct 2021View details →
zenodo28/100

Simulations results for application 1 and 2

<p>Simulations results for application 1 and 2</p>

opencc-by-4.0Oct 2023View details →
zenodo28/100

Figure 7 in A Case Study of Wavelets and SVM Application in Coffee Agriculture: Detecting Cicadas Based on Their Acoustic and Image Patterns

Figure 7. The SVM structure used in application two. Similar to AP1, the weights determined during the superoised part of the training are {w0, w1, …, wX̅1}. The output element linearly combines the outputs of the hidden layer with the weights.

opencc-by-4.0Dec 2019View details →
zenodo28/100

Novel ensemble models for groundwater potential mapping: Application of the Split-Point Sampling and Node Attribute Subsampling Classifier in Vietnam

<p>Le Tien Duy</p>

opencc-by-4.0Oct 2023View details →
zenodo28/100

Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada

<p>Two catalogs are provided as part of the publication "Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada", in The Seismic Record.</p> <p>Catalog_PR_EQTransformer_TSR.csv was produced using PhaseNet (<a title="PhaseNet: a deep-neural-network-based seismic arrival-time picking method" href="https://doi.org/10.1093/gji/ggy423" target="_blank" rel="noopener">Zhu and Beroza, 2018</a>); Catalog_PR_PhaseNet_TSR.csv was produced using EQTransformer (<a title="Earthquake transformer&amp;mdash;an attentive deep-learning model for simultaneous earthquake detection and phase picking" href="https://doi.org/10.1038/s41467-020-17591-w" target="_blank" rel="noopener">Mousavi et al., 2020</a>). The files contain the following columns:&nbsp;</p> <ul> <li><strong>UTCDateTime:</strong> UTC Date and Time of detected event</li> <li><strong>NLL_Ev_Lat_Deg</strong>: Event Latitude in decimal degrees</li> <li><strong>NLL_Ev_Long_Deg</strong>: Event Longitude in decimal degrees</li> <li><strong>NLL_Ev_Z_km:</strong> Event Depth in kilometers</li> <li><strong>NLL_Ev_Lat_err: </strong>Event Latitude Error in kilometers</li> <li><strong>NLL_Ev_Long_err:</strong> Event Longitude Error in kilometers</li> <li><strong>NLL_Ev_Z_err</strong>: Event Depth Error in kilometers</li> <li><strong>Calibrated_Ml:</strong> Calibrated local magnitude</li> </ul> <p>Hypocenter locations and associated errors were calculated using NonLinLon (<a title="Probabilistic Earthquake Location in 3D and Layered Models" href="https://doi.org/10.1007/978-94-015-9536-0_5" target="_blank" rel="noopener">Lomax et al.. 2000</a>; <a title="Earthquake Location, Direct, Global-Search Methods" href="https://doi.org/10.1007/978-3-642-27737-5_150-2" target="_blank" rel="noopener">2009</a>) using the velocity model provided in <a title="Disposal From In Situ Bitumen Recovery Induced the ML 5.6 Peace River Earthquake" href="https://doi.org/10.1029/2023GL102940" target="_blank" rel="noopener">Schultz et al., 2023</a>. Magnitudes were calculated using <a title="Determination of Local Magnitude for Induced Earthquakes in the Western Canada Sedimentary Basin: An Update" href="https://csegrecorder.com/articles/view/determination-of-local-magnitude-for\-induced-earthquakes-in-the-wcsb" target="_blank" rel="noopener">Babaie-Mahani and Kao (2020)</a> and then calibrated (due to incorrect instrument response files) using <a title="Induced or Natural? Toward Rapid Expert Assessment, with Application to the Mw 5.2 Peace River Earthquake Sequence" href="https://doi.org/10.1785/0220230289" target="_blank" rel="noopener">Salvage et al., 2023.</a>&nbsp;</p>

opencc-by-4.0Dec 2023View details →
ClinicalTrials.gov28/100

Routine Application of Point-of-care PCR Test to Identify and Direct Therapy for Acute Respiratory Infection in the Emergency Department Trial

ClinicalTrials.gov study NCT06780566. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Effectiveness of Module Based Learning and Mobile Application Based Learning Regarding Facility Based Newborn Care Among Nursing Students

ClinicalTrials.gov study NCT03224663. IPD Sharing: NO. Countries: 0. Publications: 2.

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

The Effects of Preoperative Scopolamine Patch Application on the Postoperative Nausea and Vomiting in MVD Surgery

ClinicalTrials.gov study NCT02968082. IPD Sharing: NO. Countries: 0. Publications: 4.

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

Clinical Application of Autologous Mitochondria Transplantation for Improving Oocyte Quality.

ClinicalTrials.gov study NCT03639506. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

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

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.

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

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