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5,573 results for “optimality”
OPTIMIZATION OF HEAT CONSUMPTION IN CENTRAL HEATING SYSTEMS AT COMMERCIAL FACILITIES
<p>Rising energy prices and stricter environmental regulations are exacerbating the problem of inefficient heat consumption in the commercial sector. Central heating systems of office buildings, shopping malls, and industrial complexes are often characterized by excessive thermal energy consumption, which leads to significant economic losses and a negative impact on the natural environment. The purpose of the study is to study the directions and trends of optimization in the field under consideration (taking into account modern technological capabilities, and economic factors).</p> <p>There are disagreements in the professional community about the priority of measures to improve energy efficiency: some experts prefer improving the thermal insulation of buildings, others — the introduction of intelligent control systems, and others — the integration of renewable energy sources. The present study demonstrates that the greatest effect is achieved with a systematic approach combining various initiatives.</p> <p>The conclusion is formulated that in the current conditions and the future, a comprehensive application of modern thermal insulation materials, highly efficient heating equipment, intelligent management mechanisms, and alternative energy sources is required.</p> <p>The article is of interest to engineers-designers of heating systems, energy managers of commercial facilities, specialists in energy efficiency of buildings, and heads of companies interested in optimizing operating costs and improving the environmental friendliness of their real estate.</p>
Code and data associated with Christiansen et al. 2021 "Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing"
<p>All code and data input and output files (except reference genome and raw sequencing data) needed to reproduce the results of Christiansen et al. 2021 as released on <a href="https://github.com/notothen/radpilot">https://github.com/notothen/radpilot</a> alongside journal publication. See published paper:</p> <p>Christiansen, H., Heindler, F.M., Hellemans, B. <em>et al.</em> Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing. <em>BMC Genomics</em> <strong>22, </strong>625 (2021). <a href="https://doi.org/10.1186/s12864-021-07917-3">https://doi.org/10.1186/s12864-021-07917-3</a></p>
BonMOLière: Small-Sized Libraries of Readily Purchasable Compounds, Optimized to Produce Genuine Hits in Biological Screens across the Protein Space
<p>BonMOLière is a set of small-sized libraries of readily purchasable compounds, optimized to produce genuine hits in biological screens across the protein space. The corresponding research article has been published in <em>Int. J. Mol. Sci.</em> 2021, 22(15), 7773, DOI: <a href="https://doi.org/10.3390/ijms22157773">https://doi.org/10.3390/ijms22157773</a></p>
RDOF: Deployment Optimization for Function as a Service
<p>This dataset provides artifacts, inputs, utilities and models for the routes calculator and NLP pipeline applications used in the case study of L. Zhu, G. Giotis, V. Tountopoulos, G. Casale, RDOF: Deployment Optimization for Function as a Service:</p> <ul> <li>Deployment packages of the routes_calculator, ner and pos functions</li> <li>JSON inputs and Python utilities for benchmarking and load testing</li> <li>TOSCA models with reference workloads and performance requirements</li> </ul>
Load Shifting Optimization with Genetic Algorithms for Energy Cost Minimization in Households - Case Study Data2
<p>The case study of this dataset uses real household data, representing five days from 0h00 to 23h59. This dataset uses a period of 15 minutes for all loads execution time and energy data. The case study considers twenty unique houses that can have up to five different shiftable appliances, each executing three process cycles.<br> <br> File Description:</p> <ul> <li>Case_Studies_Data-BAU_and_Load_Shifting - Excel containing appliances energy profile, load execution preferences, BAU consumption, and houses' data</li> <li>Houses_Input_Output_JSONs_and_Statistics - Zip containing the input and output files from the proposed system, as well as their corresponding schedule statistics</li> </ul>
Load Shifting Optimization with Genetic Algorithms for Energy Cost Minimization in Households - Case Study Data
<p>The case study of this dataset uses real household data, representing five days from 0h00 to 23h59. This dataset uses a period of 15 minutes for all loads execution time and energy data. The case study considers twenty unique houses that can have up to five different shiftable appliances, each executing three process cycles.<br> <br> File Description:</p> <ul> <li>Case_Studies_Data-BAU_and_Load_Shifting - Excel containing appliances energy profile, load execution preferences, BAU consumption, and other house data</li> <li>Houses_Input_JSONs - Zip containing the input files, from each house, for the proposed system</li> </ul>
Binary optimal LCD codes
<p>This data set contains generator matrices of binary LCD codes constructed with the program <strong>Generation,</strong> as well as files with non-existence results. The results are presented in the paper "Optimal Binary LCD Codes" by Stefka Bouyuklieva in Tables 1-4. The classification results are given in a separate directory. The form of the matrices is the same as that used in <strong>Q-Extension</strong>.</p>
Figure 1 in Embryo retention, character optimization, and the origin of the extra-embryonic membranes of the amniotic egg
Figure 1. Sarcopterygian phylogeny showing an optimization of embryo retention (character 1), as previously advocated by Laurin and Girondot (1999). The only modification is that all terminal taxa are in the present tree, instead of collapsing Monotremata and Theria into Mammalia, to better match the character distribution shown in Table I, and that Actinistia is coded as unknown (as shown by the absence of a data box below that taxon).
Figure 3 in Embryo retention, character optimization, and the origin of the extra-embryonic membranes of the amniotic egg
Figure 3. Sarcopterygian phylogeny showing an optimization of the developmental stage at oviposition (character 2, with ordered states). This optimization suggests that the ancestral amniote laid its eggs at the gastrula developmental stage (equivalent to absence of extended embryo retention). If the character is left unordered, the ancestral condition for amniotes is to lay eggs in the post-neurula embryonic stage (equivalent to presence of extended embryo retention).
Fig. 1 in Ghost species and optimal diversity: shared patterns between two tropical mountains within Auchenorrhyncha (Insecta: Hemiptera)
Fig. 1. Regressions between altitude and Abundance (a), Richness (b), Simpson (c), Shannon (d), on Doi Inthanon (Thailand) during the studied period (April/May). Lines are represented when regressions were significant (p<0.05).
Fig. 5 in Ghost species and optimal diversity: shared patterns between two tropical mountains within Auchenorrhyncha (Insecta: Hemiptera)
Fig. 5. Altitudinal clustering for Doi Inthanon's whole-year trapping, using Neighbor Joining on Jaccard's dissimilarity index. Dominant families (in terms of abundances) are named on branches. Tips correspond to trap elevations.
Fig. 3 in Ghost species and optimal diversity: shared patterns between two tropical mountains within Auchenorrhyncha (Insecta: Hemiptera)
Fig. 3. Regressions between altitude and Abundance (a), Richness (b), Simpson (c), Shannon (d), on Doi Inthanon (Thailand) during the whole Twin Peaks project (2014). Lines are represented when regressions were significant (p<0.05).
Fig. 4 in Ghost species and optimal diversity: shared patterns between two tropical mountains within Auchenorrhyncha (Insecta: Hemiptera)
Fig. 4. Altitudinal clustering for Doi Inthanon (a) and Mount Wilhelm (b), using Neighbor Joining on Jaccard's dissimilarity index. Dominant families (in terms of abundances) are named on branches. Tips correspond to trap altitudes. On one specific branch (in (b)), "Equal" means that no families were particularly dominant.
Fig. 2 in Ghost species and optimal diversity: shared patterns between two tropical mountains within Auchenorrhyncha (Insecta: Hemiptera)
Fig. 2. Regressions between altitude and Abundance (a), Richness (b), Simpson (c), Shannon (d), on Mount Wilhelm (Papua New Guinea) in 2012. Lines are represented when regressions were significant (p<0.05).
An Optimized North America MODIS Leaf Area Index (LAI) Dataset for Air Quality Modeling
<p>Air Quality Research Division, Environment and Climate Change Canada,</p> <p>4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada</p> <p>Email: Junhua.zhang@ec.gc.ca</p> <p> </p> <p>Leaf Area Index (LAI) is used in air quality models for land surface processes and for calculating biogenic emissions. MODIS LAI product provided by NASA (https://modis.gsfc.nasa.gov/data/dataprod/mod15.php) has been widely used in the air quality modeling community for such purposes. However, limitations of MODIS LAI product have been seen for some geographic areas, particularly unreasonably low LAI over the evergreen needleleaf boreal forests in the northern hemisphere during wintertime due to snow cover and low sun angle. Missing retrievals over urban areas and areas with persistent cloud cover are also seen. Considerable efforts have been made to improve the MODIS LAI product. However, some issues are still persistent, such as the very low LAI over boreal forests during wintertime. In order to solve these issues for supporting regional air quality modelling, the 8-day MODIS Collection 6 (C6) LAI product at 500m resolution (MCD15A2H) was examined for North America. Statistics were calculated by month and by land cover type defined in the “Land Cover Type 1” science data set (SDS) of the Collection 6 MODIS Land Cover (MCD12Q1) product. Comparisons with LAI calculated from the EPA’s Biogenic Emissions Landuse Database, version 4 (BELD4, https://www.epa.gov/air-emissions-modeling/biogenic-emission-sources) were also done (Zhang et al., 2020). Based on the analysis, an updated monthly LAI dataset was calculated based on 1) 17-year (2003-2019) average of MODIS summer-time peak LAI, 2) fraction of evergreen and deciduous for each pixel from BELD4, and 3) monthly profiles of LAI for evergreen and deciduous vegetation species from MODIS LAI (Zhang et al., 2021). This is the final LAI dataset for North America compiled using the 17 years of MODIS LAI product complemented by information from BELD4.</p> <p> </p> <p>REFERENCES:</p> <p>Zhang, J., M. D. Moran, P. A. Makar, and S. Kharol, 2020. Examination of MODIS Leaf Area Index (LAI) Product for Air Quality Modelling. 19th CMAS Conference, 26-30 Oct., Virtual [see https://www.cmascenter.org/conference/2020/slides/ZhangJ_MODIS_LAI_CMAS_2020.pdf].</p> <p>Zhang, J., P. A. Makar, S. Kharol, M. D. Moran, and C. McLinden, 2021. Examination and Processing of MODIS Leaf Area Index (LAI) Product for Air Quality Modelling. 2021 Meteorology and Climate - Modeling for Air Quality Conference, Sep 14-17, 2021, Virtual</p> <p> </p>
Fig. 4. Geometric parameters for the numerical optimization process. a in Scientific Note Proposal of a Sluice-type Fish Pass
Fig. 4. Geometric parameters for the numerical optimization process. a) water level in the pool, b) intermediate wall height c) level difference between the pools, d) opening under the sluice, e) the dimension of the pool and f) position of the wall (see Fig. 3 for legend).
How to achieve a higher selection plateau in forest tree breeding? Fostering heterozygote x homozygote relationships in optimal contribution selection in the case study of Populus nigra
<p><span><span><span><span><span><span>In breeding, Optimal Contribution Selection (OCS) is one of the most effective strategies to balance short- and long-term genetic responses, by maximizing genetic gain and minimizing global coancestry. Considering genetic diversity in the selection dynamic – through coancestry – is undoubtedly the reason for the success of OCS, as it avoids intial loss of favorable alleles. Originally formulated with the pedigree relationship matrix, global coancestry can nowadays be assessed with one of the possible formulations of the realized genomic relationship matrix. Most formulations were optimized for genomic evaluation, but few for the management of coancestry. We introduce here an alternative formulation specifically developed for Genomic OCS (GOCS), intended to better control heterozygous loci, and thus better account for Mendelian sampling. We simulated a multi-generation breeding program with mate allocation and under GOCS for twenty generations, solved with quadratic programming. With the case study of </span></span></span><span><i><span>Populus nigra</span></i></span><span><span><span>, we have shown that, although the dynamic was mainly determined by the trade-off between genetic gain and genetic diversity, better formulations of the genomic relationship matrix, especially those fostering individuals carrying multiple heterozygous loci, can lead to better short-term genetic gain and a higher selection plateau. </span></span></span></span></span></span></p>
Experimental data of "Novel flow modulation method for R744 two-phase ejectors – Proof of concept, optimization and first experimental results"
<p>Experimental data of "Novel flow modulation method for R744 two-phase ejectors – Proof of concept, optimization and first experimental results"</p>
A niching particle swarm optimization strategy combined with cluster analysis for the multimodal inversion of surface waves
<p>The data include two study cases used for multimodal surface wave inversion.</p> <p>For case 1, the data present a combination of active and passive surface wave methods.</p> <p>For case 3, we use Rayleigh waves to detect a low-velocity soft interlayer underneath the road.</p> <p>Detailed description can be found in the data description document.</p>
Optimal sequence similarity thresholds for clustering of molecular operational taxonomic units in DNA metabarcoding studies
<p><span>Clustering approaches are pivotal to handle the many sequence variants obtained in DNA metabarcoding datasets, therefore they have become a key step of metabarcoding analysis pipelines. Clustering often relies on a sequence similarity threshold to gather sequences in Molecular Operational Taxonomic Units (MOTUs), each of which ideally representing a homogeneous taxonomic entity, e.g. a species or a genus. However, the choice of the clustering threshold is rarely justified, and its impact on MOTU over-splitting or over-merging even less tested. Here, we evaluated clustering threshold values for several metabarcoding markers under different criteria: limitation of MOTU over-merging, limitation of MOTU over-splitting, and trade-off between over-merging and over-splitting. We extracted sequences from a public database for nine markers, ranging from generalist markers targeting Bacteria or Eukaryota, to more specific markers targeting a class or a subclass (e.g. Insecta, Oligochaeta). Based on the distributions of pairwise sequence similarities within species and within genera, and on the rates of over-splitting and over-merging across different clustering thresholds, we were able to propose threshold values minimizing the risk of over-splitting, that of over-merging, or offering a trade-off between the two risks. For generalist markers, high similarity thresholds (0.96-0.99) are generally appropriate, while more specific markers require lower values (0.85-0.96). These results do not support the use of a fixed clustering threshold. Instead, we advocate a careful examination of the most appropriate threshold based on the research objectives, the potential costs of over-splitting and over-merging, and the features of the studied markers.</span></p>
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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.
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.