Dataset on scientific and educational experiments at the IIS, including stats on Saudi participants, educational sites, experiment types, and the importance of microgravity research in physics, biology, and space medicine.

Historical Dataset of T'iis Nazbas Community School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2009-2023),Total Classroom Teachers Trends Over Years (2010-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2010-2023),American Indian Student Percentage Comparison Over Years (2009-2023),Free Lunch Eligibility Comparison Over Years (2009-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022)

This report presents the results of a five-year pedagogical experiment conducted by the International Innovative School on the integration of artificial intelligence (AI) tools in the teaching of mathematics and physics in secondary education. A total of 2,500 students participated in the experiment, which aimed to assess the long-term impact of AI-supported learning on student outcomes, engagement and satisfaction. The study assessed twelve core parameters across three domains: A: feedback quality, including response timeliness (A1), readability (A2), amount of additional explanation (A3), visual clarity (A4), and inaccuracies (A5); B: cognitive and performance impact, such as motivation (B1), error correction behaviour (B2), and test performance (B3); C: engagement and personalisation, including classroom participation (C1), satisfaction (C2), and degree of feedback individualisation (C3). Over the course of the experiment, AI-based tools - including adaptive learning systems, chatbots, and visual explanation platforms - were systematically integrated into classroom delivery and homework support. The results show consistent improvements across almost all parameters. In particular, 82% of students reported timely and helpful responses (A1), while test performance (B3) increased by an average of 21%. Engagement (C1) and satisfaction (C2) metrics increased significantly, especially when feedback was tailored (C3). Teachers observed fewer misunderstandings (A5) and more targeted clarifications (A3). The findings suggest that with proper pedagogical integration, AI technologies can meaningfully enhance STEM education by supporting personalisation, motivation and clarity in learning.

Customs records of are available for IIS DRIVE SYSTEMS SUZHOU CO.,LTD. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Objective Our objective is to assess the accuracy of the COVID-19 vaccination status within the Electronic Health Record for a panel of patients in a primary care practice when manual queries of the state immunization databases are required to access outside immunization records. Results A manual query of the local Immunization Information Systems for 4,114 adult patients with “unknown†vaccination status showed 44% of the patients were previously vaccinated. Attempts to assess the comprehensiveness of the Immunization Information Systems were hampered by incomplete documentation in the chart and poor response to patient outreach. Conclusions When the interface between the patient chart and the local Immunization Information System depends on a manual query for the transfer of data, the COVID-19 vaccination status for a panel of patients is often inaccurate. This study was reviewed by the University of Kansas Medical Center Institutional Review Board and was designated as a quality imp...

This dataset includes Police In-Car video activities. Data shows activity of In-Car recorded video including, Officer Serial Number, Start (Date & Time) of video, post recording activity code and description. Data is refreshed on a weekly basis. Data is records of video and does not imply that there is actual playable video associated.

The Intelligent Interactive Systems (IIS) market is experiencing robust growth, driven by the increasing demand for personalized and engaging user experiences across various sectors. The market, estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $150 billion by 2033. This expansion is fueled by several key factors, including the proliferation of smart devices, advancements in artificial intelligence (AI) and machine learning (ML), and the growing adoption of cloud-based solutions. Major technology companies like Google, Apple, Microsoft, and Amazon are heavily invested in IIS development, leading to continuous innovation and market penetration. Furthermore, the rising need for efficient customer service, personalized education, and immersive entertainment is significantly contributing to the market's growth trajectory. The key segments within the IIS market include conversational AI, virtual reality (VR), augmented reality (AR), and personalized recommendation systems. While the current market leaders are established tech giants, the emergence of specialized companies like SentinelOne (cybersecurity), Alteryx (data analytics), and Snowflake (cloud data warehousing) highlights the expanding ecosystem and opportunities for players offering niche solutions. However, challenges remain, including concerns regarding data privacy and security, the high cost of implementation for some technologies, and the need for standardized interoperability across different platforms. Overcoming these hurdles will be crucial for sustained market growth and broader adoption of IIS across diverse industries and applications.

Historical Dataset of T'iis Ts'ozi Bi'olta' Community School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2009-2023),Total Classroom Teachers Trends Over Years (2010-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2010-2023),American Indian Student Percentage Comparison Over Years (2009-2023),Free Lunch Eligibility Comparison Over Years (2009-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022)

Geolocation based on the toponymic address associated with each school. The map shows the geo-referencing of the public higher education and professional training institutes of the entire regional territory. For further information, refer to the "Liguria Digital School Project" (http://www.scuoladigitaleliguria.it/) - acquisition scale 1:5000 - Year: 2020 - Projection system: Gauss Boaga - West Zone - Territorial coverage: entire regional territory

Introduction

The dataset provides detailed information about UK Power Networks' unplanned fault reporting under the Ofgem Interruptions Incentive Scheme (IIS).

It includes key characteristics such as:

  Date/time fault start/end

Number of customers affected Restoration stages Cause and main equipment involved Status of fault in terms of its exclusion from the IIS scheme due to it being a one-off /severe weather fault

More information about the IIS can be found on Ofgem's website or this document: RIIO-ED2 Regulatory Instructions and Guidance – Interruptions

Methodological Approach

Source: IIS returns post application of Ofgem decision one status of fault in terms of its exclusion from the IIS scheme due to it being a one-off /severe weather fault Manipulation: Includes all rows from unplanned fault reporting IIS returns with calculation of CI/CML removed, leaving source data only i.e. no calculated fields

Quality Control Statement The data is provided "as is".

Assurance Statement The Regulation Team checked to ensure data accuracy and consistency.

Other Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

Customs records of Chin are available for NTD IIS LTD. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Comparative analyses of central molecular networks uncover variation that can be targeted by biomedical research to develop insights and interventions into disease. The insulin/insulin-like signaling and target of rapamycin (IIS/TOR) molecular network regulates metabolism, growth, and aging. With the development of new molecular resources for reptiles, we show that genes in IIS/TOR are rapidly evolving within amniotes (mammals and reptiles, including birds). Additionally, we find evidence of natural selection that diversified the hormone-receptor binding relationships that initiate IIS/TOR signaling. Our results uncover substantial variation in the IIS/TOR network within and among amniotes and provide a critical step to unlocking information on vertebrate patterns of genetic regulation of metabolism, modes of reproduction, and rates of aging.

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Restriction enzymes that recognize specific sequences but cleave unknown sequence outside the recognition site are extensively utilized tools in molecular biology. Despite this, systematic functional categorization of cleavage performance has largely been lacking. We established a simple and automatable model system to assay cleavage distance variation (termed slippage) and the sequence dependence thereof. We coupled this to massively parallel sequencing in order to provide sensitive and accurate measurement. With this system 14 enzymes were assayed (AcuI, BbvI, BpmI, BpuEI, BseRI, BsgI, Eco57I, Eco57MI, EcoP15I, FauI, FokI, GsuI, MmeI and SmuI). We report significant variation of slippage ranging from 1-54%, variations in sequence context dependence, as well as variation between isoschizomers. We believe this largely overlooked property of enzymes with shifted cleavage would benefit from further large scale classification and engineering efforts seeking to improve performance. The gained insights of in-vitro performance may also aid the in-vivo understanding of these enzymes.

Monthly Cumulative Percent of Children <8 Months Who Received Nirsevimab by Jurisdiction, United States. Nirsevimab coverage for children 0 to 7 months is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group (https://www.cdc.gov/iis/about/).

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Monthly Cumulative Number and Percent of Persons Who Receive ≥1 Influenza Vaccination Doses and Comparison Between 2023-2024 and Two Previous Seasons, by Jurisdiction, United States

• Influenza vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. More information about the IIS can be found at https://www.cdc.gov/vaccines/programs/iis/about.html.

• Influenza vaccination coverage estimate numerators include the number of people receiving at least one dose of influenza vaccine in a given flu season, based on information that state, territorial, and local public health agencies report to CDC. Some jurisdictions’ data may include data submitted by tribes. Estimates include persons who are deceased but received a vaccination during the current season. People receiving doses are attributed to the jurisdiction in which the person resides unless noted otherwise. Quality and completeness of data may vary across jurisdictions. Influenza vaccination coverage denominators are obtained from 2020 U.S. Census Bureau population estimates.

• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July through a given month of that flu season. Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.

• Because IIS data contain all vaccinations administered within a jurisdiction rather than a sample, standard errors were not calculated and statistical testing for differences in estimates across years were not performed.

• Laws and policies regarding the submission of vaccination data to an IIS vary by state, which may impact the completeness of vaccination coverage reflected for a jurisdiction. More information on laws and policies are found at https://www.cdc.gov/vaccines/programs/iis/policy-legislation.html.

• Coverage estimates based on IIS data are expected to differ from National Immunization Survey (NIS) estimates for children (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-coverage-race.html)
and adults (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-adult-coverage.html) because NIS estimates are based on a sample that may not be representative after survey weighting and vaccination status is determined by survey respondent rather than vaccine records or administrations, and quality and completeness of IIS data may vary across jurisdictions. In general, NIS estimates tend to overestimate coverage due to overreporting and IIS estimates may underestimate coverage due to incompleteness of data in certain jurisdictions.

• Monthly Cumulative Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Influenza Season, Age Group and Jurisdiction.

• Influenza (flu) vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly, in aggregate, by age group (https://www.cdc.gov/iis/about/).

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Abstract copyright UK Data Service and data collection copyright owner.

The OECD Institutional Investors Statistics provide annual and quarterly data running from 1980 onwards, covering a unique set of statistics that reflect the level and structure of the financial assets of institutional investors (investment funds, insurance companies and pension funds) in the OECD countries, and in the Russian Federation.

Concepts and definitions are predominantly based on the System of National Accounts and are derived from national sources. Indicators are presented as percentages of GDP allowing for international comparisons, and at country level, both in national currency and as percentages of total financial assets of the investor.

These data were first provided by the UK Data Service in April 2015. The UK Data Service web site includes further information on the OECD Institutional Investors Statistics holdings, including a dataset user guide and details of latest database updates.

Citation: The bibliographic citation for the database is: Organisation for Economic Cooperation and Development ({YYYY}): OECD Institutional Investors Statistics ({Edition: YYYY}). UK Data Service. DOI: {edition specific doi - e.g. http://dx.doi.org/10.5257/oecd/iis/2014]

Alternative DOIs: /10.1787/instinv-data-en (to access via OECD.Stat subscription).