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%.

This will audit all of the web App Builder Applications in an organization, and provide a list of the widgets within them. The list will be in a csv file. You can then cross reference the list of widgets with the following blog, in order to prioritize the order with which you migrate your Web App Builder Applications to Experience Builder. https://community.esri.com/t5/arcgis-experience-builder-documents/functionality-matrix-for-web-appbuilder-and/ta-p/1113766

the dataset of paper "Detecting common features from point patterns for similarity measurement using matrix decomposition" the code is implemented by C# with ArcGIS Engine the data denotes points with X and Y please cite our paper if the dataset can help you with your research

Dataset

This dataset was created by Eduardo Toloza

Released under CC0: Public Domain

Contents

Report detailing findings from a review of Land Rescue Arrangements in NSW

Note: This resource was originally published on opengov.nsw.gov.au. The OpenGov website has been retired. If you have any questions, please contact the Agency Services team at transfer@mhnsw.au

Agency

• State Rescue Board of New South Wales

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.

Backing data for publication in ICED 17, describing relationships between issues associated with engineering consultancy and formula student project teams, and features of engineering project performance.

Dataset

This dataset was created by mmuummuu

Contents

[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

Let a be a square matrix with complex entries and f a function holomorphic on an open subset U of the complex plane. It is well known that f can be evaluated on a if the spectrum of a is contained in U. We show that, for a fixed f, the resulting matrix depends holomorphically on a.

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.

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.

Data Import and Table Selection: Import Excel data into Power BI. Select specific tables (Calendar, Customer, Product, Sales, Terriority). Data Modeling: Design star schema architecture in Model view. Establish relationships between tables. Data Transformation: Filter Calendar table for years 2017 and 2018. Remove unnecessary columns from the Calendar table. Utilize Power Query Editor for data manipulation. DAX Measures: Create measures for analyzing sales data. Use DAX functions to calculate total sales, tax amount, total orders, distinct product count, etc. Add comments to DAX measures for clarity. Visualization: Create matrices to display summarized data. Format measures (e.g., change to currency). Utilize visual elements like icons and tooltips for better understanding. Drill-Down Analysis: Implement drill-down functionality to explore data hierarchically. Additional Measures: Calculate total customers and percentage of distinct customers. Analyze product-related metrics (e.g., max price, weight values). Data Quality Analysis: Identify and analyze empty cells in specific columns. Multiple Sheets and Visuals: Create multiple sheets with different matrix tables. Utilize slicers for interactive filtering. Implement visual filters for dynamic data exploration. Advanced DAX Functions: Utilize SUMX function for calculating total sales including tax. Calculate dealer margin using SUMX function. Conclusion: Summarize the project and its focus on measures, matrix tables, and advanced DAX functions. Overall, your project plan covers various aspects of data analysis and visualization in Power BI, from data import to advanced calculations and visualization techniques, providing a comprehensive guide for analysis and decision-making.

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 specie...

Reversing anthropogenic impacts on habitat structure is frequently successful through restoration, but the mechanisms linking habitat change, community reassembly and recovery of ecosystem functioning remain unknown. We test for the influence of edge effects and matrix habitat restoration on the reassembly of dung beetle communities and consequent recovery of dung removal rates across tropical forest edges. Using path modelling, we disentangle the relative importance of community-weighted trait means and functional trait dispersion from total biomass effects on rates of dung removal. Community trait composition and biomass of dung beetle communities responded divergently to edge effects and matrix habitat restoration, yielding opposing effects on dung removal. However, functional dispersion—used in this study as a measure of niche complementarity—did not explain a significant amount of variation in dung removal rates across habitat edges. Instead, we demonstrate that the path to functional recovery of these altered ecosystems depends on the trait-mean composition of reassembling communities, over and above purely biomass-dependent processes that would be expected under neutral theory. These results suggest that any ability to manage functional recovery of ecosystems during habitat restoration will demand knowledge of species' roles in ecosystem processes.,dung beetle response-effect trait dataThis is the data set used to fit the edge response function in Figure 2, and to develop the path model testing the trait dependence of functional recovery of dung removal across regenerating habitat edges. The column heading "site" indicates the edge gradient sampling site, "restoration" is a binary variable coding whether the adjacent matrix underwent habitat restoration, and "edge.distance" indicates the sampling point's distance from the habitat edge, whereby positive numbers are located in the matrix and negative numbers are located in the adjacent forest habitat. "Biomass" gives the total community biomass (mg) for each sample, "FDis" is the calculated functional dispersion of each community, "body.mass" is the arithmetic community mean body mass (mg), "BSI" gives the community mean pronotum width/body mass ratio, "wing.loading" is the community mean wing area/body mass ratio, "wing.area" gives the community mean wing area (mm^2), "pronotum" provides the community mean pronotum width (mm), and "dung.removal" gives the proportion of dung removed at each sampling point.dung beetle response effect trait data.csv,

Conversion of farmland land-use matrices to surface mining is an increasing threat to the habitat quality of forest remnants and their constituent biota, with consequences for ecosystem functionality. We evaluated the effects of matrix type on bird community composition and the abundance and evenness within avian functional groups in south-west Ghana. We hypothesized that surface mining near remnants may result in a shift in functional composition of avifaunal communities, potentially disrupting ecological processes within tropical forest ecosystems. Matrix intensification and proximity to the remnant edge strongly influenced the abundance of members of several functional guilds. Obligate frugivores, strict terrestrial insectivores, lower and upper strata birds, and insect gleaners were most negatively affected by adjacent mining matrices, suggesting certain ecosystem processes such as seed dispersal may be disrupted by landscape change in this region. Evenness of these functional guilds was also lower in remnants adjacent to surface mining, regardless of the distance from remnant edge, with the exception of strict terrestrial insectivores. These shifts suggest matrix intensification can influence avian functional group composition and related ecosystem-level processes in adjacent forest remnants. The management of matrix habitat quality near and within mine concessions is important for improving efforts to preserveavian biodiversity in landscapes undergoing intensification such as through increased surface mining.

Landscape-level disturbances, such as forest loss, can profoundly alter the functional composition and diversity of biotic assemblages. In fact, the landscape-moderated functional trait selection (LMFTS) hypothesis states that landscape-level disturbances may act as environmental filters that select a set of species with disturbance-adapted attributes while causing the loss of species with disturbance-sensitive attributes, ultimately compromising ecosystem functioning. However, the impact of landscape patterns on the functional composition and diversity of tropical regenerating trees (saplings) is unknown. Using a multiscale approach to identify the best spatial scale (i.e. the scale of effect), we tested the effect of forest cover, matrix openness and forest patch density (fragmentation) on functional composition and functional diversity of tree saplings in old-growth forest patches (n = 59) in three Mexican rainforest regions with different degree of deforestation. For 368 species and ~23,000 individuals, we compiled information from global and national databases on six functional traits related to seed dispersal and plant establishment and calculated their community abundance-weighted mean (CWMs) and three complementary functional diversity indices. Forest loss and matrix openness reduced functional richness and evenness, but only in the two most deforested regions. Overall, fragmentation had contrasting effects on functional diversity and composition, but correlated negatively with some functional traits in the most deforested region. Importantly, in the regions with high-to-intermediate degree of deforestation, functional composition experienced major changes: maximum height, seed mass, fruit size and wood density decreased, and SLA increased, in forest patches surrounded by open matrices in highly deforested and fragmented landscapes. This caused a shift of community traits towards more disturbed-adapted attributes. Synthesis and applications. In agreement with the LMFTS hypothesis, our results confirm that landscape modifications in regions undergoing high and long-lasting deforestation greatly impoverish the functional composition and diversity of sapling communities. The shift from communities composed mainly by conservative attributes towards communities with a higher prevalence of disturbance-adapted attributes disrupts the future community structure and jeopardizes critical ecosystem functions. Management practices focused on preventing deforestation, increasing forest cover, and promoting treed matrices are necessary to preserve the functionality of these species-rich but increasingly threatened rainforests. Methods We worked in three rainforest regions from southeastern Mexico with different patterns and history of land-use change: (1) Marqués de Comillas region (in Selva Lacandona rainforest, Chiapas) and labeled as low-deforestation region (LDR) in the database; (2) Los Tuxtlas rainforest (Veracruz), labeled as intermediate-deforestation region (IDR); and (3) Northern Chiapas, labeled as high-deforestation region (HDR). In each region, we selected 20 old-growth forest patches (i.e. 60 forest patches in total). Sampling was conducted in the dry season, from January to May 2018. At the centre of each forest patch, we established 25 circular plots of 1.60 m radius (8 m2 each, which represents 200 m2 sampled in each patch), in a grid of 5 × 5 plots with a 30 m separation between them. In each plot, all saplings (excluding palms and lianas) ≥ 30 cm in height and < 1 cm of diameter at breast height (DBH) were identified and counted. Then, we summed up the values obtained for the 25 plots to obtain a single value for each forest patch (i.e. sampling unit). For each forest patch (i.e. community), we collected six functional traits that represent the whole plant trait economic spectrum, play a key role in plant regeneration and are sensitive to environmental modifications: tree maximum height (Hmax, m), seed mass (SM, mg), specific leaf area (SLA, mm2/mg), fruit size (FS, mm), wood density (WD, g/cm3) and dispersal syndrome (DS). We then calculated the community abundance-weighted mean (CWM) for each of the afore-mentioned functional traits. We also calculated three complementary indices of functional diversity (Villéger et al., 2008): functional richness (FRic), functional evenness (FEve) and functional divergence (FDiv). FRic represents the amount of functional space occupied by the community and is based on the convex hull concept, which is the minimum convex hull that includes all species considered. FEve represents the homogeneity in the distribution of species trait abundances of a community, so FEve decreases when species trait abundances are distributed less uniformly among the included species or when functional distances among species are less regular. Finally, FDiv measures how far the abundances of the different species are from the centre of the functional space. Concerning the landscape variables, we estimated four landscape metrics: two metrics of landscape composition (i.e., FC = forest cover, MO = matrix openness) and two metrics of landscape configuration (i.e., PD = patch density, ED = forest edge density). Landscape variables were assessed in 13 concentric landscapes (i.e. buffers or landscape areas) of 100- to 1300-m radius (at 100-m intervals) from the centre of each sampling site. This multi-scale approach was used in order to identify the spatial scale at which the relationship between each response variable and each landscape metric is strongest (i.e. scale of effect; Jackson & Fahrig, 2015). Forest cover was estimated by dividing the total amount of old-growth forest area in the landscape by the landscape area × 100 (%). Matrix openness was calculated as the percentage of the matrix covered by open areas (i.e. cattle pastures, annual crops, water bodies and human settlements). Patch density was calculated as the number of old-growth forest patches in the landscape divided by the landscape area (n/ha). Edge density was estimated as the length of the perimeter of all old-growth forest patches in the landscape divided by the landscape area (m/ha). References: Jackson, H. B. & Fahrig, L. 2015. Are ecologists conducting research at the optimal scale? Global Ecology and Biogeography, 24, 52–63. Villéger, S., Mason, N. W. H., & Mouillot, D. (2008). New multidimensional functional diversity indices for a multifaceted framework in functional ecology. Ecology, 89, 2290–2301.

Value-function (VF) approximation is a central problem in Reinforcement Learning (RL). Classical non-parametric VF estimation suffers from the curse of dimensionality. As a result, parsimonious parametric models have been adopted to approximate VFs in high-dimensional spaces, with most efforts being focused on linear and neural-network-based approaches.

Smart HDMI Matrix Switch Market Outlook

According to our latest research, the global Smart HDMI Matrix Switch market size reached USD 1.32 billion in 2024, demonstrating robust growth driven by increased demand for high-definition multimedia management across various sectors. The market is expected to grow at a CAGR of 8.4% from 2025 to 2033, with the forecasted market size projected to reach USD 2.72 billion by 2033. This growth is primarily fueled by the proliferation of advanced audio-visual systems in both residential and commercial environments, as well as the rising adoption of smart home technologies and integrated AV solutions.

One of the primary growth factors for the Smart HDMI Matrix Switch market is the accelerating integration of smart devices and multimedia systems within residential spaces. As consumers increasingly invest in home theaters and smart entertainment setups, the need for seamless switching and distribution of high-quality video and audio signals has surged. The ability of HDMI matrix switches to manage multiple input and output sources without degradation of signal quality is a significant advantage, especially in modern homes equipped with multiple displays, gaming consoles, streaming devices, and sound systems. Furthermore, the growing trend of home automation and the adoption of Internet of Things (IoT) devices have further amplified the demand for smart HDMI matrix switches that can be controlled remotely via mobile applications or voice assistants, enhancing user convenience and experience.

The commercial sector also plays a pivotal role in driving the expansion of the Smart HDMI Matrix Switch market. Corporations, educational institutions, and hospitality venues are increasingly deploying sophisticated audio-visual solutions to support collaborative work environments, digital signage, and interactive learning experiences. Conference rooms, control centers, and auditoriums require reliable switching solutions to manage multiple sources of information and display content across various screens simultaneously. The ability of HDMI matrix switches to provide centralized control, scalability, and compatibility with emerging 4K and 8K video standards makes them indispensable in commercial settings. Additionally, the ongoing digital transformation and the emphasis on hybrid work models have further stimulated investments in advanced AV infrastructure, contributing to the sustained growth of the market.

Another significant growth driver is the rapid technological advancements in HDMI matrix switch design and functionality. Manufacturers are focusing on introducing products with higher port counts, enhanced bandwidth capabilities, and support for the latest HDMI standards, including HDCP 2.3 and HDR. The integration of features such as remote management, seamless switching, and compatibility with various control protocols has broadened the application scope of these devices. Moreover, the increasing availability of cost-effective solutions has made smart HDMI matrix switches accessible to a wider range of end-users, including small and medium-sized enterprises (SMEs) and educational institutions. These technological innovations are expected to continue propelling market growth over the forecast period.

The introduction of HDMI Switch technology has revolutionized the way consumers and businesses manage their multimedia setups. An HDMI Switch allows users to connect multiple HDMI sources to a single display, providing a seamless transition between devices such as gaming consoles, Blu-ray players, and streaming devices. This technology is particularly beneficial in environments where multiple devices need to be accessed frequently, eliminating the need to constantly plug and unplug cables. As the demand for more efficient and user-friendly AV solutions grows, HDMI Switches are becoming an essential component in both residential and commercial settings, offering convenience and enhanced functionality.

From a regional perspective, North America currently dominates the Smart HDMI Matrix Switch market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The high penetration of advanced home entertainment systems, coupled with substantial investments in commercial AV infrastructure, has positioned North America as a key market for smart HDMI matrix s