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1,930 results for “Matrix”
Matrix of minimum distance between toponyms (rivers and settlements/towns) in Poland
<p>The matrix of distances between 205 rivers and 30,700 towns and villages in Poland published in CSV format.</p> <p> </p> <p>More details in the paper: R.Szczepanek, 2023, A Deep Learning Model of Spatial Distance and Named Entity Recognition (SD-NER) for Flood Marks Text Classification, Water.</p>
Optimizing Sparse Matrix-Matrix Multiplication for the GPU supplementary data
<p>This contains the matrices for the SpGEMM tests presented in "Optimizing Sparse Matrix-Matrix Multiplication for the GPU", by Steven Dalton, Nathan Bell, and Luke N. Olson.</p> <p>Each A matrix from Table 3 has an companion matrix P in the directory. The storage scheme appends "_P" to the end of the A matrix filename.<br> </p>
Figure S1. Spearman correlation matrix representing the relationships between phytoestrogens and biofluids.
<p>(A) Daidzein, (B) Genistein, (C) the sum of both phytoestrogens, (D) follicular fluid, (E) urine on the day of vaginal oocyte retrieval. Blue represents a positive correlation, while red represents a negative correlation. Color intensity is proportional to the correlation strength. Strikethrough values represent non-significant associations (p>0.05).</p>
Figure S2. Spearman correlation matrix representing the relationships between the essential trace elements within each biological matrix
<p>Blue represents a positive correlation, while red represents a negative correlation. Color intensity is proportional to the correlation strength. Strikethrough values represent insignificant/negligible associations (p>0.05). Cr, chromium; Cu, copper; Fe, iron; Li, lithium; Mn, manganese; Mo, molybdenum; Se, selenium; Zn, zinc</p>
Data from: An ASC-based unitary matrix pencil method for parameter estimation of group target
<p><span>The unitary matrix pencil (UMP) method has been successfully applied to antenna array optimization. In this work, the UMP method is applied to the parameter estimation of target detection based on the attributed scattering center (ASC) model. This method can accurately estimate the number of arbitrary group targets in the space. Firstly, the radar cross section (RCS) is reconstructed based on the ASC model. Since the unitary matrix can be used to process the parameter estimation of the echo with 'sum of attenuation exponents', the unitary matrix is constructed by the samples from this reconstructed RCS. Moreover, the stronger scattering center can be characterized via the larger singular values, and the number of group targets can be obtained by solving the number of large singular values. Then, singular value decomposition (SVD) is performed on this unitary matrix, and some larger singular values are screened by setting an appropriate threshold. The higher estimation accuracy can be obtained by fusing the echoes from multiple frequencies and angles. Besides, the estimation accuracies of this proposed method in this work are discussed under different signal-to-noise ratios (SNR) considering the noise in the actual scene. Simulation results show that this method can effectively and accurately estimate the number of group targets, and it shows strong robustness. <span>In this data file, the simulation results obtained by commercial software FEKO and MATLAB are listed.</span></span></p>
Improved dual-permeability model for characterizing the mass transfer process inside matrix blocks
<p>The dual-permeability model (DPM) is highly efficient for describing bimodal transport in heterogeneous porous media. However, it uses only one domain to describe the matrix blocks, and it therefore ignores the impact of the mass transfer process inside the matrix blocks at the microscale. Therefore, in this study, to investigate the effect of the mass transfer process in dual-permeability media and the computational accuracy when considering it, the dual-permeability model with a transition domain (DPMTD) is proposed based on the DPM. Comparison of the DPMTD with the DPM by applying them to a sand column experiment with the same concept as the model reveals that the DPMTD captures the bimodal transport (especially the first peak) more effectively because it calculates the rapid exchange of solute in the early stage more accurately. Subsequently, the same conclusion is reached when both models are applied to a reported solute displacement experiment for an Andisol. In short, we suggest that the mass transfer process inside matrix blocks needs to be characterized in the model to achieve higher accuracy and provides a new approach for modeling the solute transport of preferential flow.</p>
Matrix N, TEs vs promoters, weighted with L = 2.5e5kb, hg19
<p>Regulatory susceptibility matrix N, with rows as hg19 protein coding genes and columns as TE subfamilies. For any given gene, regulatory TEs are strictly out of any promoter and any exon belonging to that gene. The contribution of each single TE is weighted by a gaussian kernel centered on the closest promoter of that gene, with a bandwidth L = 2.5e5kb</p>
Matrix Profile of Seismological Data Repository
<p>The Computed Matrix Profile (MP) repository for seismic data.</p> <p>Please see below the archived manuscript of Shakibay Senobari et al., (Submitted to JGR, under review) for more information regarding the Matrix Profile and data set:</p> <p>essopenarchive.org/604953/p1vlDMs-5b0zsrs7C033Ug</p> <p>https://doi.org/10.1002/essoar.10512525.1</p>
Linguistic Matrix Theory Data
<p>Dataset for analyzing the statistics of ensembles of matrices in the Linguistic Matrix Theory programme introduced in arxiv:1703.10252. A Python script (ratios.py) for testing the fit of the matrix data to the 13-parameter permutation invariant Gaussian matrix models introduced in arXiv:1809.07559 is given.</p> <p>Two Sage+Jupyter notebooks are provided that assist in the computation of theoretical higher-order moments based on permutation invariant matrix model along with a set of Python functions (MFunctions.py) that are useful for further Gaussianity tests as well as computational language tasks. The dataset was constructed by D. Kartsaklis for arXiv:1703.10252, ratios.py was developed for arXiv:1912.10839 and the Sage+Jupyter code was developed in arXiv:2104.03707. MFunctions.py was developed in arXiv:2202.06829.</p>
Dataset: a Social Accounting Matrix for Germany
<p>The Social Accounting Matrix (SAM) for Germany includes data on 163 production sectors, factors of production, indirect business taxes, households, corporations, government, gross fixed capital formation, changes in inventories, and the external accounts with the rest of the world. The SAM allows for economic analysis, policy evaluation, and economic modelling. The SAM is compiled by extending the EXIOBASE Input-Output accounts with data from Federal Statistical Office of Germany (DESTATIS) and using balancing items to ensure that the Total Income and Total Expenditure of the main transactors are in balance.</p>
Lateral interactions govern self-assembly of the bacterial biofilm matrix protein BslA (experimental and simulation data)
<p>The soil bacterium Bacillus subtilis is a model organism to investigate the formation of biofilms, the predominant form of microbial life. The secreted protein BslA self-assembles at the surface of the biofilm to give the B. subtilis biofilm its characteristic hydrophobicity. To understand the mechanism of BslA self-assembly at interfaces, here we built a molecular model based on the previous BslA crystal structure and the newly determined crystal structure of the BslA paralogue YweA. Our analysis revealed two conserved protein-protein interaction interfaces supporting BslA self-assembly into an infinite 2d lattice that fits previously determined transmission microscopy images. Molecular dynamics simulations and in vitro protein assays further support our model of BslA elastic film formation, while mutagenesis experiments highlight the importance of the identified interactions for biofilm structure. Based on this knowledge, YweA was engineered to form more stable elastic films and rescue biofilm structure in bslA deficient strains. These findings shed new light on protein film assembly and will inform the development of BslA technologies which range from surface coatings to emulsions in fast-moving consumer goods.</p>
The dynamic matrix predicts population response to long-term experimental forest fragmentation
<div><strong>Context</strong></div> <div> </div> <div>Earth's forests are fragmented. Species' long-term persistence depends on their conservation in fragmented landscapes with remnants embedded in a matrix of human land use. This matrix influences species' persistence in fragments by determining their degree of isolation and the extent to which edge effects alter habitat. Matrix habitat is often dynamic, so its impact on persistence of remnant species changes over time.</div> <div> </div> <div><strong>Objectives</strong></div> <div> </div> <div>Previous research showed that the abundance response of predatory beetle species to matrix habitat predicted their response in fragments with a log-response ratio of about 0.5. When abundance declined in the matrix, there was a smaller but predictable decline in fragments. However, the predictive utility of a fragment:matrix log-response ratio needs testing with functionally different species, more detailed data, and a focus on mechanism.</div> <div> </div> <div><strong>Methods</strong></div> <div> </div> <div>In the Wog Wog habitat fragmentation experiment, we follow a detritivorous amphipod 27 years after forest fragmentation.</div> <div> </div> <div><strong>Results</strong></div> <div> </div> <div>The amphipod's response in habitat fragments was predicted by its response in the matrix with a log-response ratio of about 0.5, similar to predatory beetles. The amphipod's response was explained by its abiotic niche. The amphipod's short-term response did not predict its long-term response.</div> <div> </div> <div><strong>Conclusions</strong></div> <div> </div> <div>The log-response ratio might generalize across the invertebrate food web. For two groups within the Wog Wog experiment, a species' dynamic response in matrix habitat predicted its persistence in fragments. Future work should explore the generality of this finding. With knowledge of projected land use of matrix habitat, a species' matrix response could be used for management planning.</div>
The entanglement of extracellular matrix molecules and immune checkpoint inhibitors in cancer: a systematic review of the literature
<p><strong>The datasets include the results obtained upon a literature search on different databases: Web of science, Scopus and Pubmed.</strong></p> <p>The combination of mesh terms searched in the databases were “extracellular matrix molecules” or “extracellular matrix remodeling” and “immune checkpoint inhibitors” or “immunotherapy”.</p>
Dataset: Modular Impedance Matrix Method for Transient Modeling in Pipe Network Systems
<p>Unsteady flow is an important engineering problem in urban pipe network systems, requiring pressure and flow rate management analyses and reliable drinking water quality maintenance. Efficiently solving the hyperbolic partial differential equation and integrating it with various boundary conditions under the complex layout scenarios of pipe networks is a challenging issue for pipeline modelers. Frequency-domain modeling with a time-domain response was developed as an alternative to the traditional method of characteristics. However, this solution requires a substantial array size for large pipe network systems, significantly affecting applicability in field pipe network systems. This study proposes an innovative transient analysis method, the modular impedance matrix method, to solve the most labor- and cost-intensive computational issues affecting the unsteady flow analysis of large, complicated pipe networks. This method was applied to a field pipe network system and its performance compared to existing approaches. The algorithm of the proposed method fundamentally solved the computational problems associated with other methods, and its modular scheme allowed feasible integration with an analytical formulation that can be tailored to the modeler's preferences. The modular impedance matrix method's strength can be amplified according to the size and complexity of the pipe network system owing to its unique complementary validation capability. </p>
Examining the Effectiveness of a Connective Tissue Matrix Implant in Reducing Post-operative Pain and Narcotic After Outpatient Arthroscopic Shoulder Surgery
ClinicalTrials.gov study NCT04633837. IPD Sharing: NO. Countries: 1. Publications: 3.
Safety and Efficacy Trial of a Dapivirine Vaginal Matrix Ring in Healthy HIV-Negative Women
ClinicalTrials.gov study NCT01539226. IPD Sharing: NO. Countries: 2. Publications: 5.
Management of Persistent Epistaxis Using Floseal Hemostatic Matrix
ClinicalTrials.gov study NCT02488135. IPD Sharing: NO. Countries: 1. Publications: 1.
Safety, Immunogenicity and Efficacy of the Blood-stage Plasmodium Vivax Malaria Vaccine Candidate PvDBPII in Matrix M1
ClinicalTrials.gov study NCT04201431. IPD Sharing: NO. Countries: 1. Publications: 1.
Flavanol Absorption, Metabolism and Excretion From Fruit-based Drinks and Other Food Matrixes
ClinicalTrials.gov study NCT03526094. IPD Sharing: YES. Countries: 1. Publications: 5.
LifeNet: Extracellular Matrix Graft in Rotator Cuff Repair
ClinicalTrials.gov study NCT03551509. IPD Sharing: NO. Countries: 1. Publications: 14.
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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.