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5,573 results for “optimality”
Optimization of the Dosage of Chopped Basalt Fibers in Asphalt Pavement Surface Course Materials for Semi-rigid Base with Functional Requirements
Open the record for dataset details and reuse information.
Student engagement in a flipped undergraduate medical classroom to measure optimal video-based lecture length
<p><strong><span>Purpose</span></strong><span>: </span><span>to determine the optimal length of video-based lectures for undergraduate medical students in a flipped classroom environment, considering not only audience retention (AR) but also other complementary aspects. </span></p> <p><strong><span>Methods:</span></strong><span><span> a</span></span><span> total of 173 videos<span> </span>were used<span> </span>across three consecutive courses. The outcome variables included the percentage of video viewing, viewing index, AR percentage, early dropout percentage, percentage of students who did not access the clip, and percentage of students answering the questions embedded in the clips. Information was obtained from the own platform at the end of each course. All the outcome variables were considered a function of the video length over or under different cut-off points.<span> </span></span></p>
TIMS²Rescore: A DDA-PASEF optimized data-driven rescoring pipeline based on MS²Rescore
<p>Code and datasets for the "TIMS²Rescore: A DDA-PASEF optimized data-driven rescoring pipeline based on MS²Rescore" manuscript (https://doi.org/10.1101/2024.05.29.596400) </p>
Optimizing Cucumber Growth: Integrating Smart Irrigation with various Fertilization Strategies in Greenhouse Conditions
<div> <div>Supplemental materials for:</div> <div>"Optimizing Cucumber Growth: Integrating Smart Irrigation with various Fertilization Strategies in Greenhouse Conditions", under submission.</div> <br> <div>The 'datas.xlsx' file contains tables of raw data collected from the experiment site.</div> <div> </div> <div>Features:</div> <div> <ul> <li>Leaf Area</li> <li>Iwp</li> <li>Photosynthesis</li> <li>Yield</li> <li>Fruit Quality</li> <li>Summary</li> </ul> </div> </div>
The Ring: Worst-Case Optimal Joins in Graph Databases using (Almost) No Extra Space
<p><strong>wikidata-filtered-enumerated: </strong>Wikidata subgraph with 81,426,573 triples</p> <p><strong>wikidata-ring: </strong>Wikidata graph with 958,844,164 triples. The compressed file contains the mapping from subject/objects (.SO) and predicates (.P)</p>
STRIPS PDDL benchmarks from sequential optimization tracks of IPC 1998-2014
<p>Subset of STRIPS benchmarks from the sequential optimization tracks of IPC 1998-2014 from <a href="https://github.com/aibasel/downward-benchmarks">https://github.com/aibasel/downward-benchmarks</a>.</p>
A Tale of Two Retinal Domains: Near-Optimal Sampling of Achromatic Contrasts in Natural Scenes through Asymmetric Photoreceptor Distribution
<p>Spectral image data of an early spring daytime forest scene recorded using a ‘‘hyperspectral scanner’’. For details, see<a href="https://www.ncbi.nlm.nih.gov/pubmed/24314730"> Baden, Schubert et al. (2013)</a> doi: 10.1016/j.neuron.2013.09.030. For a script to access the data, see <a href="https://github.com/eulerlab/published_data">github.com/eulerlab/published_data</a>.</p>
Research data for: "Band Structure Interpolation using Optimized Local Orbitals from Linear-Scaling Density-Functional Theory"
<p>This file was created by Laura E. Ratcliff on 23rd March 2018. It contains the input files employed for the ONETEP and CASTEP calculations in the above publication.</p> <p>Directory Listing:</p> <p>castep/</p> <p>Contains the input files used to generate the CASTEP reference data.</p> <p>onetep/</p> <p>Contains the input files used to generate all of the ONETEP data, where filenames are labelled with the number of repeat CNT units, val (cond) indicates a valence (conduction) calculation and the suffixes follow a similar labelling convention to that employed in the manuscript.</p>
Optimizing methodology for the detection of H3K27me3 levels using flow cytometry
<p>Optimizing methods to detect H3K27m3 levels using flow cytometry in patient AML cells.</p>
Optimization of an ex vivo gene transfer to the hamstrings tendons muscle remnants: potential for genetic enhancement of bone healing
<p>Human muscle tissue samples obtained from 31 patients was used in this in vitro analytical and experimental study. To optimize transduction protocol, samples from 28 patients were transduced with the adenoviral vector carrying firefly luciferase cDNA (Ad.luc) using different doses, times of transduction and addition of positive ions for transduction enhancement. The optimized protocol was further tested on muscle samples from 3 new patients, which were transduced with Ad.BMP-2. Released bone morphogenetic protein 2 (BMP-2) levels in osteogenic medium were measured every 3 days during the period of 21 days. Expression of osteogenic markers was at day 14 and 21. After 21 days of cultivation, muscle tissue was prepared for immunohistochemical staining for collagen type I (COL-I). </p>
Record Linkage Evaluation and Optimization of the Mainzelliste Pseudonymization Service
<p>synthetically generated person related datasets used in the evaluation of linkage quality and runtime of the Mainzelliste. To generate person records we used the established GeCo data generator modified with small extensions such as including look-up files for German names in addition to English names. A generated dataset consists of two subsets, org and dup, to be compared witheach other. The duplicate records can contain data errors (e.g., different<br> but similarly sounding letters, OCR errors or typos) to simulate reduced data quality, making matching more<br> challenging.</p>
Artifact Evaluation for "Optimizing Remote Data Transfers in X10" - PACT'18
<p>Artifact Evaluation Reproduction for "Optimizing Remote Data Transfers in X10", PACT 2018.</p> <p>--------------------------------------------------------------------------------------------------------------------</p> <p>This repository contains artifacts and source codes<br> to reproduce experiments from the PACT 2018 research paper<br> titled "Optimizing Remote Data Transfers in X10"</p> <p>Our evaluations are done on Linux based Operation system.</p> <p><br> Hardware pre-requisities:<br> ------------------------------<br> We recommend the following architectures any of the following architectures:<br> * An Intel System with two nodes, each node having 32 cores (32 CPUs). Total 64 cores.<br> * An AMD System, with two nodes, each node having 16 cores (16 CPUs). Total 32 cores.<br> </p> <p><br> Software pre-requisites:<br> ----------------------------<br> 1) For Evaluation using Virtual Machine required software are already installed in the provided image.<br> A VirtualBox (from Oracle) is required to install the image and do evaluation.</p> <p>2) For Manual evaluation, the below required software needs to be installed in the system.<br> * g++ (preferred version 5.4.0)<br> * Apache ant software (preferred version 1.9.6 )<br> * Java software<br> - preferred jvm jdk1.8.0_151 (or) java-8-oracle<br> - After installation, set JAVA_HOME path in ~/.bashrc to point to the installed JAVA bin</p> <p><br> Benchmarks:<br> ---------------<br> 1) Taken from IMSuite Benchmark kernels (http://www.cse.iitm.ac.in/~krishna/imsuite/). Already, included in the package.</p> <p><br> Installation, Execution and Validation of results:<br> ---------------------------------------------------------<br> 1) For Evaluation using Virtual Machine see README.md file in ./AE/VM folder</p> <p>2) For Evaluation using Manual method see README.md file in ./AE/Manual folder</p> <p>3) For Evaluating AT-Opt technique againt varing input sizes (not discussed in the paper), look at<br> web page http://www.cse.iitm.ac.in/~krishna/imsuite/. In the ./AE/Manual folder, "x10-base" folder is<br> the baseline compiler (after bulid) and "x10-atOpt" (after build) folder is the AT-Opt compiler (has our techniques implemented). </p> <p><br> If anything in unclear, or any unexpected results occur, please report it to the authors.</p> <p> </p>
Dataset for optimal Wind+Hydrogen+Other+Battery+Solar (WHOBS) electricity systems for European countries
<p>Data outputs from optimisation of Wind+Hydrogen+Other+Battery+Solar (WHOBS) electricity systems for European countries.</p> <p>Input data and code can be found here:</p> <p>https://github.com/PyPSA/WHOBS</p> <p>The summary of the results with metadata can be found here:</p> <p>https://github.com/PyPSA/WHOBS/tree/master/results-181002</p> <p>if you don't want to download 6 GB.</p> <p>To load the data, install PyPSA and do e.g. for Germany (DE) in 2030:</p> <p>network = pypsa.Network("DE-2030.nc")</p> <p>Note that in these files, in some hours batteries discharge and charge at the same time. This is because the model wants to dump energy and this behaviour has the same cost and effect as curtailing wind and solar. In the latest version of the github code, wind and solar have tiny marginal costs (0.02 and 0.01 EUR/MWh respectively) to prevent this behaviour. With these costs, curtailment is preferred.</p>
Repeatability materials for paper "Database-Inspired Optimizations for Statistical Analysis"
<p>This repository contains files to replicate experiments in our paper "Database-Inspired Optimizations for Statistical Analysis", in particular data derived from the American Community Survey (ACS). Experiment scripts to use these files are here: https://scm.cwi.nl/DA/raaql-paper-experiments</p>
Technical Report and Simulation Results for the Paper "It's About Time: On Optimal Virtual Network Embeddings under Temporal Flexibilities"
<p>Archiving the data and the technical report corresponding to our publication "It’s About Time: On Optimal Virtual Network Embeddings under Temporal Flexibilities".<br> The data was previously publicly available at https://net.t-labs.tu-berlin.de/~stefan/tvnep.html.</p>
Heat Exchanger Optimization and Development
<p>Video - Heat Exchanger Optimization and Development</p>
STRIPS PDDL benchmarks from sequential optimization tracks of IPC 1998-2018
<p>Subset of STRIPS benchmarks from the sequential optimization tracks of IPC 1998-2018 from <a href="github.com/aibasel/downward-benchmarks">https://github.com/aibasel/downward-benchmarks</a>.</p>
Experimental data from the paper "Subset-Saturated Cost Partitioning for Optimal Classical Planning"
<p>The data set contains the raw experiment data, parsed values and basic reports for the experiments in the paper. For each experiment there are two directories. The first directory contains the raw data of all experiment runs. The code directories and benchmark files have been removed to avoid duplication and save space. The second directory (*-eval) contains a "properties" file with all parsed values and an HTML report.</p>
Experimental data from the IJCAI 2019 paper "Pattern Selection for Optimal Classical Planning with Saturated Cost Partitioning"
<p>This data set contains the raw experiment data, parsed values and basic reports for the experiments in the paper. For each experiment there are two directories. The first directory contains the raw data of all experiment runs. The code directories and benchmark files have been removed to avoid duplication and to save space. The second directory (*-eval) contains a "properties" file with all parsed values and an HTML report.</p>
Data accompanying "An empirical pipeline for choosing the optimal clustering threshold in RADseq studies"
<p>Data files accompanying "An empirical pipeline for choosing the optimal clustering threshold in RADseq studies"</p>
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.