Algorithm 1 Level- Spanning Graph Generation.

This website archive contains (in html and pdf format) copies of the content from the mpsfair.crc.nd.edu website established for The FAIR Hackathon Workshop for Mathematics and the Physical Sciences (MPS) held February 27-28, 2019 in Alexandria, Virginia. The workshop brought together forty-four stakeholders in the physical sciences community to share skills, tools and techniques to FAIRify research data. As one of the first efforts of its kind in the US, the workshop offered participants a way to engage with FAIR principles (Findable, Accessible, Interoperable and Reusable) Data and metrics in the context of a hackathon. The mpsfair.crc.nd.edu website is archived on the wayback machine at: https://web.archive.org/web/20210520211111/https://mpsfair.crc.nd.edu/ The MPS FAIR hackathon resources are still available as a publicly accessible project on the open science framework at: https://osf.io/km8db/ (DOI 10.17605/OSF.IO/KM8DB) The FAIR reading list featured on the former mpsfair.crc.nd.edu website is still available as a publicly accessible bibliography on zotero at: https://www.zotero.org/groups/2189857/mpsfair/library The mpsfair.crc.nd.edu worskhop website and its material are based upon work supported by the National Science Foundation under Grant Number 1839030. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

This dataset is about books. It has 8 rows and is filtered where the book subjects is Fishery management-Mathematical models. It features 9 columns including author, publication date, language, and book publisher.

Biological data were analysed with all 6 methods, the mean period value is reported in the table (standard deviation in brackets). The expected period is 24 h as the clock is entrained by a 24 h light:dark cycle. 1) The data were collected in two different conditions: LD and SD, monitoring 5 output genes in each of them. 2) (All) represents aggregated results from all data sets. 3) NoCAT3 represents aggregated results from all data sets except the CAT3 marker. +) The cases for which mean period is not statistically different from the 24 h are marked with +.

The global mathematics software market size was valued at USD XXX million in 2025 and is projected to grow from USD XXX million in 2026 to USD XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. The increasing adoption of mathematics software in various industries and the rising demand for advanced data analytics and optimization techniques are the key factors driving the market growth. The market is segmented based on type into free software and commercial software. The commercial software segment is expected to hold a larger market share during the forecast period due to the growing adoption of paid software solutions by businesses and organizations. Based on application, the market is segmented into school, engineering construction, academic and research institutes, and others. The school segment is expected to grow at a significant rate during the forecast period due to the increasing need for interactive and engaging learning tools in educational institutions. Major companies operating in the market include Wolfram Research, The MathWorks, Saltire Software, Maplesoft, PTC, GAMS Development Corporation, Gurobi Optimization, Civilized Software, Signalysis, and others. Concentration Areas: The mathematics software market is concentrated in a few key areas, including:

Academic and research institutions: These institutions use mathematics software for teaching, research, and development. Engineering and construction: Engineers and construction professionals use mathematics software for design, analysis, and simulation. Financial services: Financial professionals use mathematics software for risk management, trading, and portfolio optimization. Manufacturing: Manufacturers use mathematics software for product design, process optimization, and quality control.

Characteristics of Innovation: The mathematics software market is characterized by a high level of innovation. Software developers are constantly releasing new products and features that improve the performance, usability, and functionality of their software. Key characteristics of innovation in mathematics software include:

User-friendliness: Mathematics software is becoming increasingly user-friendly, with intuitive interfaces and easy-to-use features. Increased automation: Mathematics software is automating more and more tasks, freeing up users to focus on more complex problems. Integration with other software: Mathematics software is becoming increasingly integrated with other software, such as CAD/CAM software and data analysis software. Cloud-based deployment: Mathematics software is increasingly being deployed in the cloud, which provides users with access to the software from anywhere, at any time.

Impact of Regulations: The mathematics software market is subject to a number of regulations, including:

Export controls: Some mathematics software products are subject to export controls, which restrict their sale to certain countries. Data protection laws: Mathematics software that collects and processes personal data is subject to data protection laws, such as the General Data Protection Regulation (GDPR).

Product Substitutes: There are a number of substitutes for mathematics software, including:

Spreadsheet software: Spreadsheet software can be used for basic mathematical calculations and data analysis. Programming languages: Programming languages can be used to develop custom mathematical software solutions. Online calculators: Online calculators can be used for simple mathematical calculations. Specialized software: There are a number of specialized software products that are designed for specific mathematical applications, such as CAD/CAM software and data analysis software.

End User Concentration: The end user market for mathematics software is concentrated in a few key industries, including:

Education: Mathematics software is used in schools, colleges, and universities for teaching and research. Engineering: Mathematics software is used in engineering firms for design, analysis, and simulation. Finance: Mathematics software is used in financial institutions for risk management, trading, and portfolio optimization. Manufacturing: Mathematics software is used in manufacturing firms for product design, process optimization, and quality control.

Level of M&A: The level of M&A in the mathematics software market is relatively low. However, there have been a number of notable acquisitions in recent years, including:

The MathWorks acquisition of Simulink: This acquisition strengthened The MathWorks' position in the simulation software market. Maplesoft acquisition of Virtual Laboratories: This acquisition expanded Maplesoft's product portfolio to include virtual reality and augmented reality software. PTC acquisition of Onshape: This acquisition gave PTC a strong presence in the cloud-based CAD software market.

Supplementary Material, Codes, and Data for "Order Book Queue Hawkes Markovian Modeling"

The USAID/Kenya Primary Math and Reading (PRIMR) initiative is a task order under the USAID Education Data for Decision Making (EdData II) project that operates in collaboration with the Kenyan Ministry of Education, Science and Technology (MoEST) and USAID/Kenya, and implemented by RTI International. The program is a randomized controlled trial intervention that included formal (public or government) schools and low-cost private schools (LCPS) located in Nairobi, Kiambu, Nakuru and Kisumu counties. PRIMR and its Kenyan partners created, published, and distributed new teaching and learning materials, based on the existing Kenyan curriculum; designed and led professional development to build the skills of educators and improve student literacy outcomes; and introduced a number of innovative teaching methods. Teachers and head teachers received training to encourage active learning and participation by both girls and boys in the classroom and were further supported with frequent visits and advising by trained instructional coaches. By mutual agreement among the MoEST, USAID, and RTI, approximately 500 formal schools and LCPSs located in Nairobi, Kiambu, Nakuru, and Kisumu counties were to participate in the PRIMR Initiative. To choose the sample of formal schools, the project team first selected all eligible zones from within the selected locations, then randomly assigned a subset of zones to groups that would receive the PRIMR treatment in phases (Cohorts 1, 2, and 3). Across all three cohorts, 262 formal schools were selected. Sampling for LCPSs began by clustering the schools into geographic groups of either 10 or 15 schools from across Nairobi’s divisions. Twenty clusters then were randomly assigned to Cohorts 1, 2, or 3, stratified by geographic region. The number of LCPSs selected was 240. In January 2012, the Cohort 1 schools (125 schools: 66 public, 59 LCPS) began implementing the reading interventions using PRIMR-designed materials and techniques, and the math intervention followed beginning in July 2012. The Cohort 2 schools (185: 65 public, 120 LCPS) began reading and math interventions in January 2013. Cohort 3 schools (101: 51 public, 50 LCPS) served as a control group for most of the program, and then began receiving the full intervention during the final stages of PRIMR (January 2014). In addition, it was decided that the 2014 phase of the intervention would be extended to all 547 remaining schools, rather than only to Cohort 3 as originally planned. As a result, the number of pupils benefitting increased from 12,755 in January 2012 to 56,036 in January 2014. Randomly selected students from all treatment and control schools were assessed via administration of a combined Early Grade Reading Assessment (EGRA), Early Grade Mathematics Assessment (EGMA), and Snapshot of School Management Effectiveness (SSME) at three time points: baseline, midterm, and endline. The PRIMR Initiative’s research design included several “experiments within an experiment.” These consisted of a study of three different combinations of information and communication technology (ICT) as teaching and learning aids in selected schools in Kisumu County; a longitudinal study of about 600 students who were assessed at all three time points, with their reading and numeracy competency levels compared and contrasted across the assessments; and MoEST-driven policy research on various education issues at the national level.

Clustering performance on protein superfamily data sets.

ABSTRACT This article presents potential successes and constraints presented in lessons based on written words problems of mathematics impacting on the learning process of students in the eighth year of Portuguese classes in an elementary school. Those problems have been proposed by future teachers during a supervised internship at the University of Lisbon. The data emerged from strata of interaction/intervention of a teacher-coach with three interns regarding the actions of their lessons based on written words problems of Mathematics. Successes have been identified such as the association of geometric figures to their algebraic expressions and the conduction of explanations by direct questions on the subject, as well as constraints as confusing mathematical concepts, written commands with no meaning for students, terms without proper contextualization to the mathematical context. The research has been supported by authors and researchers in the field of problem solving, the understanding of statements of math problems and the training in/of teaching practice.

Abstract copyright UK Data Service and data collection copyright owner.

This project aims to study the growth of mathematics in Britain between 1860 and 1940, and in particular to study the growth of mathematical research; the emergence and growth of a mathematical profession; changes in the mathematical syllabus at universities; and ways in which aspects of mathematical life were related.
Main Topics:

The dataset includes biographical details of mathematicians working in Britain between 1860 and 1940 (amateur as well as professional); mathematics departments in universities and training colleges, and mathematics courses; details of learned societies, mathematical journals and mathematical prizes.
These data were compiled using kleio, a data management system designed specifically to cater for the computing needs of historians. Users wishing to use software other than kleio to analyse these data, should be aware that they will have to undertake editing and restructuring of the material if they are to fully exploit its potential for analysis.

Data and code for replication of An Evaluation of Horizontal Fiscal Equalisation in Australia’s Federal System: Convergent and Divergent Patterns in State-Level Expenditure

Explore the progression of average salaries for graduates in Math, Accounting, Management, Marketing from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Math, Accounting, Management, Marketing relative to other fields. This data is essential for students assessing the return on investment of their education in Math, Accounting, Management, Marketing, providing a clear picture of financial prospects post-graduation.

Files containing daily temperature and precipitation data from 30-year climate runs in CESM for replication of the work contained in this paper. Data are provided for the 1850 pre-industrial, overconstrained optimization, and S3L1 global optimization model runs. Datasets are organized in time-merged .nc files for reference height temperature (TREFHT), large-scale precipitation (PRECL), and convective precipitation (PRECC).

Explore the progression of average salaries for graduates in Mathematical Risk Management Related To Mathematics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Mathematical Risk Management Related To Mathematics relative to other fields. This data is essential for students assessing the return on investment of their education in Mathematical Risk Management Related To Mathematics, providing a clear picture of financial prospects post-graduation.

Explore the progression of average salaries for graduates in Computational Math. Information Systems Management from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Computational Math. Information Systems Management relative to other fields. This data is essential for students assessing the return on investment of their education in Computational Math. Information Systems Management, providing a clear picture of financial prospects post-graduation.

This invention develops a mathematical model to describe battery behavior during individual discharge cycles as well as over its cycle life. The basis for the form of the model has been linked to the internal processes of the battery and validated using experimental data. Effects of temperature and load current have also been incorporated into the model. Subsequently, the model has been used in a Particle Filtering framework to make predictions of remaining useful life for individual discharge cycles as well as for cycle life. The prediction performance metrics customized for prognostics for a sample case. The work presented here provides initial steps towards a comprehensive health management solution for energy storage devices.

The definitions of true and false positives (resp. TP and FP), true and false negatives (resp. TN and FN) in the context of graph inference.

Explore the progression of average salaries for graduates in Business Management With Accounting Focus/Applied Math And Statistics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Business Management With Accounting Focus/Applied Math And Statistics relative to other fields. This data is essential for students assessing the return on investment of their education in Business Management With Accounting Focus/Applied Math And Statistics, providing a clear picture of financial prospects post-graduation.

The datasets underpin a thesis titled "Teachers’ development of mathematical knowledge for teaching trigonometric functions through Lesson Study". The study explored how teachers develop and improve their mathematical knowledge for teaching trigonometric functions through Lesson Study. The theoretical lens framing the current qualitative interpretive case study was mathematical knowledge for teaching (MKT). Data were collected using observations, document analysis and semi-structured interviews. The study revealed that Lesson Study afforded teachers an opportunity to develop their mathematical knowledge through collaborative lesson planning discussions (that incorporated all six knowledge domains of MKT) of trigonometric functions; by observing and documenting the manifestations of learners’ mathematical thinking during lesson presentation and observation; and by critically analysing the achievement of lesson objectives, refining and realigning previous and future lessons during post-lesson reflection conversations (that incorporated all six knowledge domains of MKT). Generally, teachers reported gaining content and pedagogic skills in trigonometric functions through participating in Lesson Study.

Banco de dados contendo informações das maiores redes de supermercados regionais do Brasil.