All awarded Technology Matching Fund projects from 1998 through the most recent funding year

This dataset shows the information on the program that supports the growth of early stage life science companies in Montgomery County. Grants provide financial assistance to life sciences employers to retain jobs and stimulate the organic growth of the life sciences industry. The Council enacted Bill 37-19 on 3/16/ 2021, effective 6/24/2021. A portion of the Bill changes the eligibility requirements for the SBIR/STTR Local Matching Grant Program, no longer restricting eligibility to NIH grant recipients, but requiring that the grant received from a Federal agency is for research in medicine, biotechnology or life sciences. The SBIR/STTR Local Matching Grant Program has a sunset date of July 1, 2025. The County’s SBIR/STTR Local Matching Grant Program allows Montgomery County companies that have at least 51% of their research & development operations in Montgomery County to apply for a County match to a Phase I or Phase II SBIR or STTR grant from the federal agency. Companies that received a Phase 1 SBIR or STTR grant may receive a County match of 25% of the grant amount, up to a maximum of $25,000. Companies that received a Phase II SBIR or STTR grant may receive match of 25% of the grant, up to a maximum of $75,000. Companies are eligible to receive a local match once per calendar year, up to a total of five grant awards

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Customs records of are available for MATCH TECHNOLOGY BEIJING LTD. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Environmental data matched to locations of tags deployed between 2021 and 2024 in Tīkapa Moana—Te Moananui-ā-Toi—the Hauraki Gulf by Manta Watch New Zealand (https://mantawatchnz.org/). This dataset was used in the M.Sc. thesis by Tamsin Cooper and in a research manuscript to be submitted to Royal Society Open Science.The original data from the Himawari-8 and Himawari-9 satellites can be accessed through the GHRSST NOAA/STAR Himawari-08 AHI L2P Pacific Ocean Region SST v2.70 dataset (GDS version 2; https://doi.org/10.25921/mzv0-km10 ) and GHRSST L2P NOAA/ACSPO Himawari-09 AHI Pacific Ocean Region Sea Surface Temperature v2.90 dataset (https://doi.org/10.25921/73xy-1v10 ) respectively. Large scale bathymetric data can be downloaded from GEBCO (https://www.gebco.net/, doi:10.5285/1c44ce99-0a0d-5f4f-e063-7086abc0ea0f). Diffuse light attenuation coefficients can be obtained from the Copernicus Marine Service (CMEMS, https://doi.org/10.48670/moi-00281) . Tide data can be extracted from the NIWA Tide Forecaster model: https://niwa.co.nz/coasts/tide-forecaster . High resolution bathymetric data for the Hauraki Gulf Marine Park and local wind data can be obtained upon request to Sarah Gardiner (MetOcean Solutions Ltd.) and Neal Osborne (MetService, New Zealand).The authors of this work recognise the rights of Indigenous peoples to make decisions about the future use of information, biological collections, data and digital sequence information that derives from associated lands, waters and territories. To support the practice of proper and appropriate acknowledgement into the future of these rights, we request that those seeking to reuse the tracking data from this study contact Lydia Green (lydia.green@mantatrust.org) and Alice Della Penna (alice.penna@auckland.ac.nz) ahead of use and publication.

The global match data collection market is projected to grow from USD 940 million in 2023 to USD 3,530 million by 2033, at a CAGR of 16.7%. Growing adoption of data-driven decision-making in the sports industry, the increasing popularity of esports, and advancements in sensor technology are the primary factors driving the market growth. The use of match data allows teams, players, and coaches to gain insights into their performance, identify strengths and weaknesses, and make informed decisions. The market is segmented by type (sensor data, video data, and others), application (sports industry and esports), and region (North America, South America, Europe, Middle East & Africa, and Asia Pacific). North America is the largest market, followed by Europe. The Asia Pacific region is expected to witness the highest growth rate due to the increasing popularity of esports and the growing number of professional sports leagues in the region. Key players in the market include Opta, Sportradar, N3XT Sports, Sportsdata, OUTFORZ, KINEXON Sports, Stats Perform, Baidu Cloud, Bestdata, Gracenote, Genius Sports, Statscore, and Broadage.

The global color matching software market is projected to reach a value of XXX million by 2033, exhibiting a CAGR of XX% during the forecast period of 2025-2033. The market growth is primarily driven by the increasing demand for accurate color matching in various industries, such as printing, ink, and paper-making. Technological advancements, such as the development of AI-powered color matching tools, are further fueling market expansion. The market is segmented based on application, type, and region. By application, the printing industry holds a significant market share due to the need for precise color reproduction in print media. By type, computer version software dominates the market owing to its advanced features and functionality. Geographically, North America and Europe are the leading markets, followed by Asia Pacific. Key players in the industry include CHN Spec, 3nh, X-Rite, EIZO, Data Color, Palette Technology, Shenzhen Peak of Science and Technology, and Iscolor. Strategic collaborations and acquisitions are among the key strategies adopted by these companies to gain a competitive edge.

Customs records of are available for PERFECT MATCH TECHNOLOGY CO.,LTD. Learn about its Importer, supply capabilities and the countries to which it supplies goods

This page provides the data resulting from linking assignees and assignors in the USPTO Patent Assignment Dataset to Compustat gvkeys. We work with a version of the USPTO PAD that was gracefully shared with us by Stuart Graham. Such version precedes by one year the first release available at the USPTO website (https://www.uspto.gov/ip-policy/economic-research/research-datasets/patent-assignment-dataset). The version that we use covers 5,534,135 transactions recorded at the USPTO between January 1970 and January 2013 (inclusive). While the first transaction date is January 1970, the number of transactions recorded in the initial years is negligible. Data coverage seems sufficient for the years 1981-2012.

If you use the code or data, please cite the following two papers:

Arque-Castells, P., and Spulber, D. (2022). Measuring the Private and Social Returns to R&D: Unintended Spillovers versus Technology Markets. Journal of Political Economy. https://doi.org/10.1086/719908

Arqué Castells, Pere and Spulber, Daniel F., Firm Matching in the Market for Technology: Business Stealing and Business Creation (September 17, 2021). Northwestern Law & Econ Research Paper No. 18-14, Available at SSRN: https://ssrn.com/abstract=3041558 or http://dx.doi.org/10.2139/ssrn.3041558

This website describes data collection, processing, and different open access data files related to measuring the position and differentiation of firms in technology space. The document "0_Data Description Zenodo.pdf" below provides more details. If you use the code or data, please cite the following paper:

Arts S, Cassiman B, Hou J (2023). Position and Differentiation of Firms in Technology Space. Management Science 69 (12): 7253-7265. https://doi.org/10.1287/mnsc.2023.00282

The data matching U.S. public firms to U.S. patents comes from the DISCERN patent database (available from: https://zenodo.org/record/3709084). Please cite the following paper if you use this data:

Arora A, Belenzon S, Sheer L (2021) Matching patents to Compustat firms, 1980–2015: Dynamic reassignment, name changes, and ownership structures. Research Policy 50(5):104217.

Using novel data on peerage marriages in Britain, I find that low search costs and marriage-market segregation can generate sorting. Peers courted in the London Season, a matching technology introducing aristocratic bachelors to debutantes. When Queen Victoria went into mourning for her husband, the Season was interrupted (1861-63), raising search costs, and reducing market segregation. I exploit exogenous variation in women's probability to marry during the interruption from their age in 1861. The interruption increased peer-commoner intermarriage by 40% and reduced sorting along landed wealth by 30%. Eventually, this reduced peers' political power and affected public policy in late-19C England.

Table 3 compares the performance of the proposed method with those of the previous methods. There are works of impedance matching for a plasma bulb [2,4,9], but they use a single matching for an impedance of plasma state.

Customs records of are available for FOSHAN AI MATCH INTELLIGENT TECHNOLOGY CO.,LTD. Learn about its Importer, supply capabilities and the countries to which it supplies goods

The global color matching software market is experiencing robust growth, driven by increasing demand across diverse industries. The market's expansion is fueled by several key factors, including the rising adoption of digital printing technologies, the growing need for precise color consistency in manufacturing processes, and the increasing complexity of color management in various applications like textiles, packaging, and automotive industries. Furthermore, advancements in software capabilities, such as improved color algorithms and enhanced user interfaces, are contributing to market growth. The competitive landscape is characterized by a mix of established players and emerging technology providers, each offering specialized solutions to cater to different market segments. While accurate market sizing requires comprehensive data, a reasonable estimate based on industry trends suggests a market valued at approximately $500 million in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of around 8% over the forecast period (2025-2033). This growth is projected to continue, propelled by the ongoing integration of color matching software into various workflows, leading to increased efficiency and reduced waste. Despite the positive outlook, several factors could potentially restrain market growth. These include high initial software investment costs, the need for specialized training and expertise for effective utilization, and the potential for variations in color perception across different devices and displays. However, the increasing awareness of the crucial role of accurate color management in brand consistency and overall product quality is expected to outweigh these constraints. The market segmentation is likely diverse, encompassing solutions tailored for specific industries and applications, ranging from basic color matching tools to sophisticated systems integrated into broader color management workflows. Key players such as CHN Spec, 3nh, X-Rite, EIZO, Datacolor, Palette Technology, Shenzhen Peak of Science and Technology, and Iscolor are actively shaping the market dynamics through continuous innovation and strategic partnerships. The geographical distribution is likely widespread, with North America and Europe representing significant market shares, followed by growth in the Asia-Pacific region due to the expanding manufacturing base.

This dataset is about books. It has 1 row and is filtered where the book is Job design and work organization : matching people and technology for productivity and employee involvement. It features 7 columns including author, publication date, language, and book publisher.

With the development of the digital economy, industrial structure upgrading plays an important role in realizing high-quality development. Exploiting the quasi-natural experimental setting provided by the Big Data Comprehensive Pilot Zone (BDCPZ) policy in China in 2016, this study evaluates the impacts of the BDCPZ policies on regional industrial structure upgrading using a combination of propensity score matching and difference-in-differences (PSM-DID) with panel data of 30 regions for the period 2008–2021. The results are as follows: (1) BDCPZ policies significantly promote regional industrial structure upgrading. This finding holds after conducting the placebo test and replacing explained variables. (2) BDCPZ policies enhance upgrading through technological innovation and financial deepening. (3) Heterogeneity analysis shows that the promotional effect of BDCPZ policies on industrial structure upgrading is more obvious in economically developed regions, megacities, and east-central regions; overall, regions with high industrialization benefit more. These findings have important implications: First, they provide new empirical evidence from the perspective of policy evaluation on how the digital economy affects industrial structure upgrading. Second, this study sheds light on the mechanism underlying this relationship, helping us understand how the digital economy can further affect the development of the industrial structure. Third, the policy effect is heterogenous, providing a scientific basis for the government to formulate differentiated implementation policies for different regions. This can help local industrial transformation and upgrading, and economic development in these regions through the implementation of big data and digital technologies.

Data set for the Digital Divide performance tile

The global market for Material Color Matching Assessment Cabinets is experiencing robust growth, driven by increasing demand across diverse industries like automotive, plastics, and ceramics. These cabinets are crucial for ensuring consistent color reproduction in manufactured goods, contributing to improved product quality and reduced waste. The market, currently valued at approximately $500 million in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several factors, including the rising adoption of advanced technologies within these cabinets, such as spectrophotometers and LED lighting, leading to more accurate and efficient color assessment. Furthermore, stringent quality control standards implemented by regulatory bodies across various regions are boosting the demand for sophisticated color matching systems. The segmentation of the market reveals a preference for cabinets with 4 and 6 illuminants, reflecting the industry's need for comprehensive color evaluation under diverse lighting conditions. Geographically, North America and Europe currently hold significant market share, but the Asia-Pacific region is expected to witness the fastest growth in the coming years due to expanding industrialization and increasing manufacturing activities in countries like China and India. The competitive landscape is marked by a blend of established players and emerging companies, each offering varied product configurations and functionalities. While companies like EIE Instruments, Presto Stantest, and James Heal dominate the market with their comprehensive product lines, the entry of smaller players is driving innovation and offering a wider range of choices based on specific industry needs. Future growth will be significantly influenced by technological advancements, such as the integration of artificial intelligence (AI) and machine learning for automated color matching and improved data analysis. The development of more sustainable and environmentally friendly materials and manufacturing processes for the cabinets themselves is another key trend that will shape the market in the years to come. Potential restraints include the relatively high cost of these advanced systems and the need for specialized technical expertise for operation and maintenance.

The Clinical Trials Matching Software market is experiencing robust growth, driven by the increasing need for efficient patient recruitment in clinical trials. The market's expansion is fueled by several factors: the rising prevalence of chronic diseases requiring extensive clinical trials, the growing adoption of cloud-based solutions for improved data management and collaboration, and regulatory pressures to accelerate drug development timelines. Technological advancements, such as AI-powered matching algorithms and sophisticated data analytics, further enhance the efficiency and effectiveness of patient recruitment, leading to faster trial completion and reduced costs. The market is segmented by deployment (cloud-based, web-based, on-premise) and application (hospital, clinic, other), with cloud-based solutions gaining significant traction due to their scalability and accessibility. Major players like IQVIA Holdings, Microsoft Corporation, and others are actively investing in research and development, and strategic partnerships to strengthen their market position. Competition is fierce, with companies vying to offer innovative features, such as advanced matching algorithms, real-time data dashboards, and seamless integration with electronic health records (EHRs). Looking ahead, the market is expected to maintain a healthy Compound Annual Growth Rate (CAGR) throughout the forecast period (2025-2033). However, certain restraints exist, including data privacy concerns, interoperability challenges between different systems, and the high cost of implementation and maintenance of such software. Despite these challenges, the long-term outlook remains positive, with continued growth expected in all major regions, particularly in North America and Europe due to their advanced healthcare infrastructure and higher adoption rates of innovative technologies. The increasing demand for faster and more efficient clinical trials will likely drive the adoption of Clinical Trials Matching Software across various healthcare settings, solidifying its position as a critical tool in the pharmaceutical and clinical research industry. Growth in Asia Pacific is also anticipated, driven by increasing investments in healthcare infrastructure and growing awareness of the benefits of this software.

A 2023 survey on AI marketing in China pointed out that big data accurate matching was the most widely used AI technology among advertisers (50 percent). Followed were content category tags with a response rate of 48 percent.