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5,573 results for “optimality”
Figure 1 from: Nguyen N-VT, Nguyen CV, Duong NT, Dai X-TT, Nguyen KT, Le C-TT (2024) Optimization of ultrasound-assisted extraction using response surface methodology and quantification of polyphenol compounds in Avicennia officinalis L. from Vietnam. Pharmacia 71: 1-9. https://doi.org/10.3897/pharmacia.71.e115528
Figure 1 Influence of methanol concentration, ratio of solid to liquid, temperature and time ultrasonic on the extration of TPC and TFC from A. officinalis leave extracts.
Optimizing Forest Restoration: a holistic spatial approach to deliver Nature's Contributions to People with minimal trade-offs and maximal equity
<p>The datasets in this repository are the results of the study titled "Optimizing Forest Restoration: a holistic spatial approach to deliver Nature's Contributions to People (NCP) with minimal trade-offs and maximal equity". The study shows that forest restoration plans aimed at joint achievement of multiple NCP have minimal trade-offs between the NCP, optimize areas evenly across the potential restoration area considered and have maximal equity considering socioeconomically disadvantaged people in India, when compared to single NCP forest restoration plans. There are 3 NCP considered- climate change mitigation (MtC), biodiversity value NCP (number of forest depenend mamm species of 56 forest mammals considered, who restoration area target will be met)) and people NCP (number of people to whom livelihoods, energy and housing contruction material will be delivered). Single NCP forest restoration plans aim at only one of the three NCP considered at a time while the integrated plan is aimed at joint achievement of all three NCP. The peer-reviewed publication will be linked here after the peer-review process. <br><br>There are 5 datasets in this repository. The first titled opportunearea_10km_resample.tif is the potential forest restoration area considered in this study. The pixel values indicate the amount of potential forest restoration area within that pixel in sqm. The remaining 4 datasets are zipped files indicating each of the forest restoration plans considered. In each zipped file there are 100 raster files (.tif format). Each of the rasters provide the forest restoration area (first dataset) optimized for the respective type of forest restoration plan in 1% increments of the total potential restoration area. The naming format followed for each of these rasters is Y_NCPtype_optimality.tif, where Y is 1-100 and NCPType is either Biodiveristy, People, Carbon or Integrated. The pixel values in each of the rasters have a range of 0-1, where 0 means that restoration area (pixel) is not optimized for delivery of the respective NCP for that increment of total potential restoration area and 1 means the entire restoration area (pixel) has been optimized for delivery of the respective NCP. Proportional pixel values indicate that the respective proportion of the restoration area is optimal. <br><br>All rasters have pixel dimensions of 10 km x 10k (333, 325, 1 (nrow, ncol, nlyr)) with raster extent 7590450, 10840450, 902100, 4232100 (xmin, xmax, ymin, ymax) and WGS 1984 Psuedo Mercator (EPSG: 3857) coordinate reference system.</p>
Artefact for: "Optimal Infinite Temporal Planning: Cyclic Plans for Priced Timed Automata"
<p>This artefact contains the UPPAAL models and raw data from experiments for the paper.</p>
Effects analysis on energy density optimization and thermal efficiency enhancement of the air-cooled Li-ion battery modules
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OPTIMIZATION OF DIAPEUTICA METHODS AND X-RAY SURGERY IN THE TREATMENT OF COMPLICATED FORMS OF CELLOLSTONIS DISEASE
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MySQL dump for finding optimal parameters for data augmentation techniques in publication "Leveraging Data Augmentation for Process Information Extraction"
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Optimal Pricing of a New Utility Service : The Case of Piped Water in Vietnam
<p>The folder includes data and code files to replicate tables and figures in Do and Jacoby (2024)</p>
Meshes from Efficient estimation of personalized biventricular mechanical function employing gradient-based optimization
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OPTIMIZATION OF DIAGNOSTIC AND THERAPEUTIC METHODS FOR OBSTRUCTIVE BRONCHITIS IN CHILDREN WITH ALLERGIC DISEASES
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GORA-PT: Gradient-based Optimization of Resource Allocation of progeny in breeding schemes with PyTorch
<p>This directory is a public directory to share the scripts, simulated datasets, and results for the paper "Differentiable breeding: Automatic differentiation enables efficient gradient-based optimization of breeding strategies". In the "BSP" folder, we shared the core codes for the differentiable breeding schemes implemented by the automatic differentiation function of PyTorch. In the "scripts" folder, we shared the codes to perform gradient-based and black-box-based optimizations. In the "midstream" folder, we shared the datasets simulated by R and all the results, including the optimized results by PyTorch.</p>
Optimization of the thermomechanical behaviour of TRC composites
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raw data - Pharmacokinetic/ pharmacodynamic analysis based on the data from a randomized phase I study justifies the optimal dosing regimens of the 10:1 formulation of amoxicillin/clavulanic acid for treatment of respiratory and urinary tract infections
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Data set and simulation code for "Design and Control Optimization for Hybrid-Controlled Overconstrained Cable-Driven Parallel Robots"
<p>See the attached readme file</p>
A dynamic optimization of soil phosphorus status approach could reduce phosphorus fertilizer use by half in China
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Optimizing Class Integration Testing with Criticality-Driven Test Order Generation
<p>The generation of class integration test orders (CITOs) is a pivotal element in integration testing, which focuses on determining the optimal order for integrating classes while testing an object-oriented system. Due to a high number of dependencies and their possible error proneness, some classes are more critical than others in a program. Existing methods for handling these classes only assess risk in terms of their dependencies; they do not consider historical bug information as an additional indicator and mainly work on small programs. </p> <p>To overcome these limitations, this paper introduces Criticality-Driven CITO (CD-CITO) generation, an innovative approach to optimize CITOs by focusing on class criticality. CD-CITO assesses both the importance of a class in terms of its dependencies and the likelihood of defects, based on historical bug data, to determine a criticality score. Then, it reformulates the CITO generation problem as a reinforcement learning task and uses the Advantage Actor-Critic (A2C) algorithm to address it. We propose a novel reward calculation strategy to guide the learning agent, balancing stubbing costs with the criticality values of classes to optimize the test order. To extract fault proneness information and access the approach, the paper uses Defects4j, a data set that contains real bugs and patches of Java programs. The results obtained show that CD-CITO effectively identifies and prioritizes highly critical classes and also minimizes stubbing costs while generating CITOs, which makes it a valuable tool for integration testing.</p>
Optimal remanufacturing choices with manufacturer's quality disclosure
<p>This code file provides the Mathematica codes for our numerical analysis. </p>
Data for: Evaluating Different i*-based Approaches for Selecting Functional Requirements while Balancing and Optimizing Non-Functional Requirements: A Controlled Experiment
<p>This dataset is associated with the study published in <em>Information and Software Technology</em>, Volume 106, February 2019, Pages 68-84. The study investigates the effectiveness of an alternative automated i* post-processed model for requirements engineering. The primary objective of the study was to provide empirical evidence that requirement engineers may perform better at selecting Functional Requirements (FRs) while optimizing and balancing Non-Functional Requirements (NFRs) using this post-processed model, compared to the original i* model.</p> <p>The data in this dataset was used for the analyses presented in the publication and includes the inputs required to evaluate the performance of requirement engineers in selecting FRs and optimizing NFRs. It provides the basis for comparing the decision-making efficiency and accuracy in FR selection, as well as the optimization process for NFRs in both the original and automated post-processed i* models.</p>
Optimizing Performance and Satisfaction in Matching and Movement Tasks in Virtual Reality with Interventions Using the Data Visualization Literacy Framework
<p>Thank you for visiting this repository, which contains a ZIP file with the data for our user study and paper titled "Optimizing Performance and Satisfaction in Matching and Movement Tasks in Virtual Reality with Interventions Using the Data Visualization Literacy Framework."</p>
Linear vs. nonlinear hedging rules for reservoir optimization operation
<p>Data used in PD reservoir operation</p>
Optimizing the selection of drug-polymer-water formulations for spray-dried solid dispersions in pharmaceutical manufacturing
<p>The files contain 2 MINLP formulations and supplementary material discussed in this publication. The MINLP problems are implemented and solved in GAMS version 36.2.0, using SBB and SCIP, a local and global MINLP solver, respectively.</p>
ScienceDex guides
Understand access before you commit
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.