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5,573 results for “Optimality”
Pre-generated network files for "Intersecting near-optimal spaces: European power systems with more resilience to weather variability"
<p>These are network files that can be used to investigate the impacts of weather variability on the European power system using PyPSA-Eur as in <a href="https://github.com/aleks-g/intersecting-near-opt-spaces/tree/v1.0">https://github.com/aleks-g/intersecting-near-opt-spaces/tree/v1.0</a>. Find more information about the approach in the README of that repository.</p> <p>These network files are a shortcut to reproduce the results and use a fixed configuration ("v1.0"). For other configurations, it may be necessary to download ERA5 reanalysis cutouts (more on this in the git repository).</p> <p>Instructions can be found in the git repository.</p>
Data and simulation files for: "Optimization of diamond optomechanical crystal cavities"
<p>Data and simulation files for the article "Optimization of diamond optomechanical crystal cavities".</p>
Data for the paper "Optimization of quasisymmetric stellarators with self-consistent bootstrap current and energetic particle confinement"
<p>Data for the paper "Optimization of quasisymmetric stellarators with self-consistent bootstrap current and energetic particle confinement"</p>
Data from: Optimal mating of Pinus taeda L. under different scenarios using differential evolution algorithm
<p>A newly developed software, AgMate, was used to perform optimized mating for monoecious <em>Pinus taeda L.</em> breeding. Using a computational optimization procedure called differential evolution (DE), AgMate was applied under different breeding population sizes scenarios (50, 100, 150, 200, 250) and candidate contribution scenarios (max use of each candidate was set to 1 or 8), to assess its efficiency in maximizing the genetic gain while controlling inbreeding. Real pedigree data set from North Carolina State University Tree Improvement Co-op with 962 Pinus taeda were used to optimize objective functions accounting for coancestry of parents and expected genetic gain and inbreeding of the future progeny. AgMate results were compared with those from another widely used mating software called MateSel (Kinghorn, 1999). For the proposed mating list for 200 progenies, AgMate resulted in an 83.7% increase in genetic gain compared with the candidate population. There was evidence that AgMate performed similarly to MateSel in managing coancestry and expected genetic gain, but MateSel was superior in avoiding inbreeding in proposed mate pairs. The developed algorithm was computationally efficient in maximizing the objective functions and flexible for practical application in monoecious diploid conifer breeding.</p>
Optical motion capturing of change of direction motions reconstructed with inverse kinematics and dynamics and optimal control simulation
<p>This is the data belonging to the publication "Change the direction: 3D optimal control simulation by directly tracking marker and ground reaction force data".</p> <p>This study investigated the feasibility and accuracy of reconstructing, especially change of direction motions with a 3D full-body musculoskeletal model by tracking marker and ground reaction force (GRF) data in optimal control simulations. We recorded in total 30 trials with optical motion capture. Using this data, we compared inverse methods (inverse kinematics and dynamics) to coordinate tracking simulations and marker tracking simulations.</p> <p>Please see the README and the publication for further details.</p>
Supporting Information - Optimizing hydrogen microgrids to facilitate diesel exit and meet the energy needs of remote and northern communities
<p>This file accompanies "Optimizing hydrogen microgrids to facilitate diesel exit and meet the energy needs of remote and northern communities" by Ian Maynard and Ahmed Abdulla.</p> <p>This supporting information contains:</p> <ul> <li>Nomenclature</li> <li>Data inputs</li> <li>Cost ratios used in cost calculations</li> <li>References</li> <li>Optimization results of 40 communities discussed in the paper above</li> </ul>
Overcoming contrast reversals in focused probe ptychography of thick materials: an optimal pipeline for efficiently determining local atomic structure in materials science
<p>Files concerning the publication "Overcoming contrast reversals in focused probe ptychography of thick materials: an optimal pipeline for efficiently determining local atomic structure in materials science"(arxiv:2205.13308 )</p>
Sensitivity-enhanced multidimensional solid-state NMR spectroscopy by optimal-control-based transverse mixing sequences
<p>The dataset here contains the raw data and pulse programs used for the publication "Sensitivity-enhanced multidimensional solid-state NMR spectroscopy by optimal-control-based transverse mixing sequences" submitted to JACS.</p> <p>All data is in a native Bruker TopSpin format. Data is organized in folders corresponding to Figures of the original publication. Detailed description is included in the file description.txt.</p> <p>We reccomend to visit our website optimal-nmr.net for additional information about optimal control methods applied to pulse sequence development for solid-state magic-angle-spinning NMR studies of proteins.</p>
Experimental data linked to publication "Process optimization and study of the co-sintering behaviour of Cu-Ni multi-material 3D structures fabricated by spark plasma sintering (SPS)"
<p>Those are all the experimental data used to produce the plots in the article</p>
Supporting dataset: Towards the Optimal Representation of Sub-Grid Heterogeneity in Land Surface Models - Upper Colorado River Basin study case
<p>Supporting files for the manuscript "Towards the Optimal Representation of Sub-Grid Heterogeneity in Land Surface Models - Upper Colorado River Basin study case." The dataset contains the ESCF derived from the original 800 HydroBlocks simulations used to train/test the random forest models (RFM) to compute the annual mean ESCFs for soil moisture content, sensible heat, latent heat, and runoff, as well as the obtained RFM to compute the resulting number of tiles for a given configuration over the study domain. Besides, the dataset includes the ESCFs for the quasi-fully distributed simulation (QFD) and the input data layers required to run HydroBlocks simulations over the study domain.</p>
Simulation Results of the Distributed Schedule Optimization with Energy Storages using EO-COHDA
<p>This dataset contains the result of the evaluation of an approach to integrate energy storages in distributed flexibility negotiations. The data was created using the implemented approach on https://gitlab.com/digitalized-energy-systems/models/eo-cohda. To work with this results we highly recommend to use eo-cohda as well, because it provides a lot convenient utility functions for this.</p> <p>The dataset has been divided in two parts:</p> <ol> <li>the result of the negotiation, <ul> <li>format: hdf, readable using hdf-viewers/python</li> </ul> </li> <li>the generated schedules of the energy storages used for the negotiation. <ul> <li>format: binary, pickled real power schedules, readable using eo-cohda's utility methods.</li> </ul> </li> </ol> <p> </p>
Data for the paper "Mapping the space of quasisymmetric stellarators using optimized near-axis expansion"
<p>Data for the paper "Mapping the space of quasisymmetric stellarators using optimized near-axis expansion"</p>
Analysis table of optimal preparation conditions of expanded graphite
<p><span>The environmentally friendly preparation of sulfur-free expanded graphite (EG) remains a great challenge. A large amount of strong acids and strong oxidants were used in the preparation of expandable graphite, resulting in environmental pollution problems. Herein, a novel and green preparation method for sulfur-free expanded graphite (EG) has been developed. Sulfur-free EG was fabricated using natural flake graphite (NFG), sodium perchlorate (NaClO<sub>4</sub>), and oxalic acid (C<sub>2</sub>H<sub>2</sub>O<sub>4</sub>) as raw materials. The electrochemical oxidation method was applied to prepare sulfur-free expandable graphite, and microwave irradiation technology was adopted to prepare sulfur-free EG. The optimum weight ratio was as follows: NFG:NaClO<sub>4</sub>:C<sub>2</sub>H<sub>2</sub>O<sub>4</sub> = 1.5:10:2. The anodic oxidation occurred under a constant current density of 47 mA/cm<sup>2</sup>, and the intercalation reaction lasted for 60 min at ambient temperature. The largest expanded volume (EV) of sulfur-free EG was 290 mL/g. The FTIR spectrum proved that the ClO4<sup>−</sup> and COO<sup>−</sup> groups had entered the graphite layers. The SEM images showed that the graphite layers were completely opened, and the pore structure was clearly observed. The sulfur-free EG prepared by the method does not cause environmental pollution and has broad application prospects.</span></p>
(VR optimized) Wing part of Wellington bomber
Remains of the starboard wing of a RAF Wellington bomber crashed in the North Sea during WO2 just above the Dutch island Ameland. See also our YouTube report/documentary about this wreck https://www.youtube.com/watch?v=81jExNR-QC8 Source: Objaverse 1.0 / Sketchfab
ROS-specific Huntingtin Interactions: GFP reactivation assay optimization in HEK 293 cells
<p>Optimization step in the lead up to phenotypic analysis of ROS-dependent huntingtin interacting proteins.</p>
Supplementary Data: Real-time optimal flood control decision making under uncertainty
<p>The files in this record contain data for real-time optimal flood control decision making and risk propagation under multiple uncertainties considered for publication in Water Resources Research.</p> <p>The files consist of:</p> <ul> <li>Pubugou Reservoir data;</li> <li>Source code and results of the Martingale Model of Forecast Evolution (MMFE);</li> <li>Source code and results of the SMAA-2 model;</li> <li>Source code and results of SMAA-TOPSIS model;</li> <li>Source code and results of the stochastic programming with recourse model.</li> </ul>
ROS-Specific Huntingtin Interactions: ROS Source Optimization in Mouse Striatal Cells
<p>Optimization step in the lead up to mass spec identification of ROS-specific huntingtin protein-protein interactions. </p>
The design of optimal mixtures from atom groups using Generalized Disjunctive Programming
<p>The files contain all the mixture design problems implemented in GAMS for this publication.</p> <p>All problems are solved in GAMS version 24.8.3 and are run on a single core of a dual 6 core Intel Xeon E5-1660 machine at<br> 3.30 GHz.</p> <p> </p>
Revisiting the paradigm of reaction optimization in flow with a priori computational reaction intelligence
<p>The use of micro/meso-fluidic reactors has resulted in both new scenarios for chemistry and new requirements for chemists. Through flow chemistry, large-scale reactions can be performed in drastically reduced reactor sizes and reaction times. This obvious advantage comes with the concomitant challenge of re-designing long-established batch processes to fit these new conditions. The reliance on experimental trial-and-error to perform this translation frequently makes flow chemistry unaffordable, thwarting initial aspirations to revolutionize chemistry. By combining computational chemistry and machine learning, we have developed a model that provides predictive power tailored specifically to flow reactions. We show its applications to translate batch to flow, to provide mechanistic insight, to contribute reagent descriptors, and to synthesize a library of novel compounds in excellent yields after executing a single set of conditions.</p>
Dataset for the optimization and validation of a gas chromatography-mass spectrometry method to analyze acetate, propionate and butyrate in the systemic circulation.
<p>This dataset contains data about the optimization and validation of a gas chromatography method to analyze acetate, propionate and butyrate in blood. Validation parameters include linearity, precision, accuracy and recovery. The method's applicability was demonstrated with the analysis of the short-chain fatty acids in human blood samples that were collected in a dietary intervention study.</p>
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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.