Global Functional Composites Market size was USD 44.51 billion in 2022 and is grow to USD 81.00 billion by 2030 with a CAGR of 7.77%.

[236+ Pages Report] The global Functional Composites market size is expected to grow from USD 39.50 billion in 2021 to USD 64.44 billion by 2028, at a CAGR of 8.50% from 2022-2028

This data set contains pairs of primers and immunoglobulin heavy chain variable sequences with annotated experimental amplification status according to gel electrophoresis. The data set tabulates the features (e.g. annealing temperature, mismatches) that determine whether a primer leads to the successful amplification of a template.

Matlab has a reputation for running slowly. Here are some pointers on how to speed computations, to an often unexpected degree. Subjects currently covered: Matrix Coding Implicit Multithreading on a Multicore Machine Sparse Matrices Sub-Block Computation to Avoid Memory Overflow Matrix Coding - 1 Matlab documentation notes that efficient computation depends on using the matrix facilities, and that mathematically identical algorithms can have very different runtimes, but they are a bit coy about just what these differences are. A simple but telling example: The following is the core of the GD-CLS algorithm of Berry et.al., copied from fig. 1 of Shahnaz et.al, 2006, "Document clustering using nonnegative matrix factorization': for jj = 1:maxiter A = W'*W + lambda*eye(k); for ii = 1:n b = W'*V(:,ii); H(:,ii) = A \ b; end H = H .* (H>0); W = W .* (V*H') ./ (W*(H*H') + 1e-9); end Replacing the columwise update of H with a matrix update gives: for jj = 1:maxiter A = W'*W + lambda*eye(k); B = W'*V; H = A \ B; H = H .* (H>0); W = W .* (V*H') ./ (W*(H*H') + 1e-9); end These were tested on an 8049 x 8660 sparse matrix bag of words V (.0083 non-zeros), with W of size 8049 x 50, H 50 x 8660, maxiter = 50, lambda = 0.1, and identical initial W. They were run consecutivly, multithreaded on an 8-processor Sun server, starting at ~7:30PM. Tic-toc timing was recorded. Runtimes were respectivly 6586.2 and 70.5 seconds, a 93:1 difference. The maximum absolute pairwise difference between W matrix values was 6.6e-14. Similar speedups have been consistantly observed in other cases. In one algorithm, combining matrix operations with efficient use of the sparse matrix facilities gave a 3600:1 speedup. For speed alone, C-style iterative programming should be avoided wherever possible. In addition, when a couple lines of matrix code can substitute for an entire C-style function, program clarity is much improved. Matrix Coding - 2 Applied to integration, the speed gains are not so great, largely due to the time taken to set up the and deal with the boundaries. The anyomous function setup time is neglegable. I demonstrate on a simple uniform step linearly interpolated 1-D integration of cos() from 0 to pi, which should yield zero: tic; step = .00001; fun = @cos; start = 0; endit = pi; enda = floor((endit - start)/step)step + start; delta = (endit - enda)/step; intF = fun(start)/2; intF = intF + fun(endit)delta/2; intF = intF + fun(enda)(delta+1)/2; for ii = start+step:step:enda-step intF = intF + fun(ii); end intF = intFstep toc; intF = -2.910164109692914e-14 Elapsed time is 4.091038 seconds. Replacing the inner summation loop with the matrix equivalent speeds things up a bit: tic; step = .00001; fun = @cos; start = 0; endit = pi; enda = floor((endit - start)/step)*step + start; delta = (endit - enda)/step; intF = fun(start)/2; intF = intF + fun(endit)*delta/2; intF = intF + fun(enda)*(delta+1)/2; intF = intF + sum(fun(start+step:step:enda-step)); intF = intF*step toc; intF = -2.868419946011613e-14 Elapsed time is 0.141564 seconds. The core computation take

The global functional composite market is expected to grow at a CAGR of 9.0% during the projected period. The market value is projected to increase from US$ 56.7 billion in 2024 to US$ 134 billion by 2034.

Category-wise Insights

Country-wise insights

This dataset contains functional traits for fish and invertebrate taxa sampled in the annual ecosystem bottom trawl survey in the Estuary and northern Gulf of St. Lawrence. The purpose of this functional trait matrix is to contribute to the development and monitoring of community indicators to support the implementation of ecosystem-based management. In a context of climate change, this information will better inform and facilitate sustainable management processes and the adaptation of human activities that directly depend on the state of marine species and communities. The functional trait matrix was established based on a literature review, the knowledge of experts who have worked for over twenty years to develop knowledge on marine species in the St. Lawrence, and empirical data from the ecosystem bottom trawl survey conducted by DFO Quebec Region in the Estuary and Northern Gulf of St. Lawrence (NGSL) since 1990. It includes a total of 103 fish taxa and 178 invertebrate taxa captured in the survey. Each trait is compiled for all or a subset of the selected taxa. The trait matrix includes a grouping of taxa into trophic guilds based on fuzzy coding, a categorization of taxa based on their mobility, a qualitative assessment of the presence of traits related to habitat provision/physical structures and bioturbation, as well as a review of available knowledge on the longevity and size at maturity of selected taxa, i.e. species of commercial value. The matrix also includes an empirical assessment of the average occurrence, relative density, maximum size and condition of taxa sampled representatively over the last ten years (2014 to 2023). The files were created for an Excel format but are distributed in .txt format to ensure consistency. For details on taxa selection, literature review and trait calculation from empirical data, see the following report: Isabel, L., Scallon-Chouinard, P.-M., Roux, M.-J. et Nozères, N. 2024. Matrice des traits fonctionnels des taxons échantillonnés dans le relevé annuel de l'estuaire et le nord du golfe du Saint-Laurent. Rapp. stat. can. sci. halieut. aquat. 1421 : vii + 65 p.

The Matrix Forest Blocks provided here were developed in partnership between the New York Natural Heritage Program and The Nature Conservancy. The Linkages and Linkage zones were developed by the New York Natural Heritage program. Please see the metadata for each individual layer for more information.These matrix occurrences represent the viable matrix forest occurrences in the TNC eastern region as of 6/23/2006. Tier 1 occurrences are the portfolio matrix occurrences. They represent the best examples of viable matrix forest and encompass at least 1 representative of each matrix Ecological Land Unit (ELU) group. Tier 2 occurrences are also viable matrix occurrences, but are not needed to meet representation goals for the portfolio. Tier 2 occurrences represent the alternate portfolio. Matrix occurrences are bounded by fragmenting features such as roads, railroads, major utility lines, and major shorelines. The bounding block feature types were chosen due to their ecological impact on biodiversity in terms of fragmentation, dispersion, edge-effects, and invasion of alien species.

This file contains the sources that were used to create the feature comparison in "Piveau: A Large-scale Open Data Management Platform based on Semantic Web Technologies".

Seed dispersal by frugivores is a fundamental function for plant community dynamics in fragmented landscapes, where forest remnants are typically embedded in a matrix of anthropogenic habitats. Frugivores can mediate both connectivity among forest remnants and plant colonization of the matrix. However, it remains poorly understood how frugivore communities change from forest to matrix due to the loss or replacement of species with traits that are less advantageous in open habitats, and whether such changes ultimately influence the composition and traits of dispersed plants via species interactions. Here, we close this gap by using a unique dataset of seed-dispersal networks that were sampled in forest patches and adjacent matrix habitats of seven fragmented landscapes across Europe. We found a similar diversity of frugivores, plants and interactions contributing to seed dispersal in forest and matrix, but a high turnover (replacement) in all these components. The turnover of dispersed seeds was smaller than that of frugivore communities because different frugivore species provided complementary seed dispersal in forest and matrix. Importantly, the turnover involved functional changes towards larger and more mobile frugivores in the matrix, which dispersed taller, larger-seeded plants with later fruiting periods. Our study provides a trait-based understanding of frugivore-mediated seed dispersal through fragmented landscapes, uncovering non-random shifts that can have cascading consequences for the composition of regenerating plant communities. Our findings also highlight the importance of forest remnants and frugivore faunas for ecosystem resilience, demonstrating a high potential for passive forest restoration of unmanaged lands in the matrix.

Usage of high-level intermediate representations promises the generation of fast code from a high-level description, improving the productivity of developers while achieving the performance traditionally only reached with low-level programming approaches.

High-level IRs come in two flavors:
1) domain-specific IRs designed to express only for a specific application area; or
2) generic high-level IRs that can be used to generate high-performance code across many domains.
Developing generic IRs is more challenging but offers the advantage of reusing a common compiler infrastructure various applications.

In this paper, we extend a generic high-level IR to enable efficient computation with sparse data structures.
Crucially, we encode sparse representation using reusable dense building blocks already present in the high-level IR.
We use a form of dependent types to model sparse matrices in CSR format by expressing the relationship between multiple dense arrays explicitly separately storing the length of rows, the column indices, and the non-zero values of the matrix.

We demonstrate that we achieve high-performance compared to spare low-level library code using our extended generic high-level code generator.
On an Nvidia GPU, we outperform the highly tuned Nvidia cuSparse implementation of SpMV multiplication across 28 sparse matrices of varying sparsity on average by $1.7\times$.

Bird occurrence, ecological traits and landscape predictors in southeast BrazilThis database provide data on bird species occurrence in forest edges, pastures and eucalyptus plantation across a wide region of fragmented Atlantic Forest, southeastern Brazil. Additonally, information on species ecological traits, sampling geographical coordinates, and landscape attributes are available. Detailed information on how these data were collated are found in the Methods section of the manuscript.bird_dataset.xlsx

control group

Collection description

Around a quarter of the population report “mirror pain” experiences in which bodily sensations of pain are elicited in response to viewing another person in pain. We have shown that this population of responders further fractionates into two distinct subsets (Sensory/localized and Affective/General), which presents an important opportunity to investigate the neural underpinnings of individual differences in empathic responses. Our study uses fMRI to determine how regions involved in the perception of pain interact with regions implicated in empathic regulation in these two groups, relative to controls. When observing pain in others (minor injuries to the hands and feet), the two responder groups show activation in both the sensory/discriminative and affective/motivational components of the pain matrix. The control group only showed activation in the latter. The two responder groups showed clear differences in functional connectivity. Notably, Sensory/Localized responders manifest significant coupling between the right temporo-parietal junction (rTPJ) and bilateral anterior insula. We conclude that conscious experiences of vicarious pain is supported by specific patterns of functional connectivity between pain-related and regulatory regions, and not merely increased activity within the pain matrix itself.

Subject species

homo sapiens

Modality

fMRI-BOLD

Analysis level

single-subject

Cognitive paradigm (task)

Narrative-based Pain Empathy Task

Map type

Other

This map represents the interaction between ecosystem integrity and connectivity in the High Divide region. The ecological integrity layer was created using the composite count overlap of three data sets that consider ecosystem structure, function, and composition in order to estimate relative ecological integrity across the High Divide region. We define and estimate ecological integrity by assembling publicly available spatial data that describe “elements of composition, structure, function, and ecological processes” (after Parrish et al. 2003; Wurtzebach and Schultz 2016 https://doi.org/10.1093/biosci/biw037).

Vibrational levels of the ground state of Br2

Best Average CCR = 100% (108/108).Features Selected from FS3: A1, V8, V5, V12, V13, V14, V17, V21, V25, V28, V15, V19, V23, V27, V30, V32, V33, V31, V35, V38, V39, V40, V42, V51, V52, V53, V54, V57, V58, V59, V62, V71, V72, V75, V65, V68, V69, Avg(GSR), Avg1(GSR), RMS1(GSR), SCR_Dur, SCR_arUnder, δ(GSR), prop1(GSR), Min(GSR), Max(GSR), SCR_AmpQ75, SCR_AmpQ85, SCR_AmpQ95, SCR_DurQ75, SCR_DurQ95, RMS1s(GSR), prop1s(GSR), Avg(IBI), RMSSD, pNN50, LF/HF, γnorm (IBI), fd(IBI), Max(IBI), Kurt(IBI), Skew(IBI), SD1(IBI).

Database files for the MOSAIC database (See associated manuscript: MOSAIC: A Unified Trait Database to Complement Structured Population Models for more information and guidance).

See, also, user guide and further information on the MOSAIC portal: https://mosaicdatabase.web.ox.ac.uk/

The primary key for linking databases is the species name.

File #1 - Primary trait database file, organised by species name (csv). Filte #2 - ERA-5 climate data for all population models in COMADRE, COMPADRE, and PADRIN (csv). Organised by population model ID. File #3 - OTL phylogeny for species in the COMADRE and COMPADRE databases. Note that these data files are intended for loading and use in R using the ape package. (txt)

Performance capacity influences ecology, behavior and fitness, and is determined by the underlying phenotype. The phenotype-performance relationship can influence the evolutionary trajectory of an organism. Several types of phenotype-performance relationships have been described, including one-to-one relationships between a single phenotypic trait and performance measure, trade-offs and facilitations between a phenotypic trait and multiple performance measures, and redundancies between multiple phenotypic traits and a single performance measure. The F-matrix is an intraspecific matrix of measures of statistical association between phenotype and performance that is used to quantify these relationships. We extend the F-matrix in two ways. First, we use the F-matrix to describe how the different phenotype-performance relationships occur simultaneously and interact in functional systems, a phenomenon we call many-to-many mapping. Second, we develop methods to compare F-matrices among species and compare phenotype-performance relationships at microevolutionary and macroevolutionary levels. We demonstrate the expanded F-matrix approach with a dataset of eight phrynosomatine lizard species, including six phenotypic traits and two measures of locomotor performance. Our results suggest that all types of relationships occur in this system and that phenotypic traits involved in trade-offs are more functionally constrained and tend evolve slower interspecifically than those involved in facilitations or one-to-one relationships.

This dataset contains the images necessary to reproduce the study "The Protective Function of Directed Asymmetry in the Pericellular Matrix Enveloping Chondrocytes (DOI: 10.1007/s10439-021-02900-1)"

A variety of skilled reaching tasks have been developed to evaluate forelimb function in rodent models. The single pellet skilled reaching task and pasta matrix task have provided valuable insight into recovery of forelimb function in models of neurological injury and disease. Recently, several automated measures have been developed to reduce the cost and time burden of forelimb assessment in rodents. Here, we provide a within-subject comparison of three common forelimb assessments to allow direct evaluation of sensitivity and efficiency across tasks. Rats were trained to perform the single pellet skilled reaching task, the pasta matrix task, and the isometric pull task. Once proficient on all three tasks, rats received an ischemic lesion of motor cortex and striatum to impair use of the trained limb. On the second week post-lesion, all three tasks measured a significant deficit in forelimb function. Performance was well-correlated across tasks. By the sixth week post-lesion, only the isometric pull task measured a significant deficit in forelimb function, suggesting that this task is more sensitive to chronic impairments. The number of training days required to reach asymptotic performance was longer for the isometric pull task, but the total experimenter time required to collect and analyze data was substantially lower. These findings suggest that the isometric pull task represents an efficient, sensitive measure of forelimb function to facilitate preclinical evaluation in models of neurological injury and disease.

Proper placental vascularization is vital for pregnancy outcomes, but assessing it with animal models and human explants has limitations. Here, we present a 3D in vitro model of human placenta terminal villi that includes fetal mesenchyme and vascular endothelium. By co-culturing HUVEC, placental fibroblasts, and pericytes in a macro-fluidic chip with a flow reservoir, we generate fully perfusable fetal microvessels. Pressure-driven flow is crucial for the growth and remodeling of these microvessels, resulting in early formation of interconnected placental-like vascular networks and maintained longevity. Computational fluid dynamics simulations predict shear forces, which increase microtissue stiffness, decrease diffusivity and enhance barrier function as shear stress rises. Mass-spec analysis reveals the deposition of numerous extracellular proteins, with flow notably enhancing the expression of matrix stability regulators, proteins associated with actin dynamics, and cytoskeleton orga..., Please see the methods section in the manuscript for details on collection and processing., , 1. Title of Dataset: Flow in fetoplacental-like microvessels in vitro enhances perfusion, barrier function, and matrix stability

1. Author Information Principal Investigator Contact Information Name: Kristina Haase Institution: European Molecular Biology Laboratory (EMBL) Address: Barcelona, Spain Email:

2. Date of data collection (single date, range, approximate date): 2022-2023

3. Geographic location of data collection: Barcelona, Spain

4. Information about funding sources: This work was supported by funds from the European Molecular Biology Laboratory (EMBL) and is part of project number PID2020-116745GA-I00, funded by the Spanish Agencia Estatal de Investigación (AEI).

SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication

2. Links to publications that cite or use the data:

Cherubini M., Erickson S., Padmanabn P., Haberkant P., Stein F., Beltran-Sastre V. & Haase K. (2023)...