Free Programming Language Research Articles

Graph plotting of 1-D motion in introductory physics education using scripts generated by ChatGPT 3.5

Introductory physics courses often necessitate students to graphically represent one-dimensional (1-D) motion and derive various physical parameters. Physical quantities are often solved by calculating either slope or the area under the graph. Instructors and students who do not have access to paid software must plot graphs by hand. This paper explores three introductory physics examples related to 1-D motion, and employs ChatGPT 3.5 to generate scripts that will produce graphs from raw data. It can generate scripts, based on accurate user inputs, in free programming languages like Python and/or GNU Octave to enable efficient graph plotting. Examples will be provided on calculating the slope of a distance–time graph and determining the area under a velocity–time graph. Given raw data, ChatGPT 3.5 may exhibit occasional inaccuracies when solving for physical parameters. However, user can communicate in English to modify the output. The author does not endorse the use of ChatGPT for academic misconducts such as assisting students to cheat in problem solving. Instead, ChatGPT is presented as a tool to enhance data visualisation for both instructors and students, which can potentially improve learning environments in introductory physics. This paper lays the groundwork for future initiatives, beyond the plotting of 1-D motion graphs, aiming to integrate artificial intelligence to assist more complex motion studies in physics learning environments.

Construction of multidimensional geomechanical models with IDW and using R language

This article aims to present a methodology for building geomechanical models using existing drillhole data and using a free programming language - the R program. The geomechanical models were developed using the Inverse Distance Weighting (IDW) interpolator and using the RQD variable and a simplified RMR classification, as a basis. Models were built for three sectors of an underground mine located in the state of Minas Gerais, Brazil. In total, data from about 370 drillholes were used, with depths of a few meters up to 650 m. The entire construction of the model was carried out in the R program and, for this, an original script was developed as a result of the research. After building the models for the three sub-sectors previously defined for the mine, the results obtained were compared with data from the technical literature of the region, and have shown to be consistent and reliable with the local reality. Thus, the methodology proposed in this study provides a useful visualization and allows the users to easily interact and evaluate the results and the quality of the information itself. Although, it must be emphasized that the proposed approach needs to be applied and tested in other areas with different rock masses, to assess its applicability in other geological-geomechanical contexts.

MOSQITO: an open-source and free toolbox for sound quality metrics in the industry and education

Sound quality metrics provide an objective assessment of the psychoacoustics of sounds. A wide range of metrics has been already standardised while others remain as active research topics. Calculation algorithms are available in commercial equipment or Matlab scripts. However, they may not present available data on general documentation and validation procedures. Moreover, the use of these tools might be unaffordable for some students and independent researchers. In recent years, the scientific and technical community has been developing uncountable open-source software projects in several knowledge fields. The permission to use, study, modify, improve and distribute open-source software make it extremely valuable. It encourages collaboration and sharing, and thus transparency and continuous improvement of the coding. Modular Sound Quality Integrated Toolbox (MOSQITO) project relies on one of the most popular high-level and free programming languages: Python. The main objective of MOSQITO is to provide a unified and modular framework of key sound quality and psychoacoustics metrics, free and open-source, which supports reproducible testing. Moreover, open-source projects can be efficient learning tools at University degrees. This paper presents the current structure of the toolbox from a technical point of view. Besides, it discusses open-source development contributions to graduates training.

Real-time database for geochemical earthquake precursory research

In the present research for the first time, an effort has been made to create an online real-time database for geochemical earthquake precursory research. The manually operating real-time database has been improved for earthquake precursory studies by changing the operating system from manual to automatic. We have used an open-source programming languages "R" and python for the data computing. Both are free programming languages software for statistical computing and graphics. To upgrade our working procedure to integrate our data with the popular and famous open source web application solution stack "AMP" (Apache, MySQL, and PHP) has been used. In this real-time database, continuous radon data from our monitoring stations, whereas, seismic and metrological data from Central Weather Bureau have been uploaded. It enables us to see the changes in the radon time series before and after the seismic events. Now, we could analyze the data in better ways before the seismic events using mathematical tools. This system would be very helpful in increasing the efficiency of earthquake prediction studies. It is also useful to have a better understanding of the physical processes involved in the more advanced statistical tools that allow the prognostic of earthquakes by the use of the data from a network of continuous monitoring stations.

Impact of wind penetration in electricity markets on optimal power-to-heat capacities in a local district heating system

While the share of intermittent renewable energy sources in a power sector is constantly increasing, demand response technologies are becoming a crucial part of interconnected energy systems. The district heating sector has a great potential of offering such services if power-to-heat and thermal storage technologies are implemented. This is a well-known method of utilizing low-price electricity from the power market. However, power-to-heat optimal supply capacities are rarely studied with respect to different market conditions, especially from the point of view of multi-objective optimization. This paper shows an analysis of the impact of a wind production increase in a power market on optimal power-to-heat capacities in a local district heating system. To obtain these results, a district heating optimization model was developed by using linear programming, while the power market prices reduction is analysed by using historical bidding market data and shifting of the supply curve. The district heating model was created in the open-source and free programming language called Julia. The model was tested on a case study of the Nord Pool electricity market and a numerical example of a district heating system. The main outcome of this research is to show how district heating supply technologies operate in different market conditions and how they affect optimal power-to-heat and thermal storage capacities. Heat pump capacities linearly follow wind production increase in power markets.

A checklist for choosing between R packages in ecology and evolution.

The open source and free programming language R is a phenomenal mechanism to address a multiplicity of challenges in ecology and evolution. It is also a complex ecosystem because of the diversity of solutions available to the analyst.Packages for R enhance and specialize the capacity to explore both niche data/experiments and more common needs. However, the paradox of choice or how we select between many seemingly similar options can be overwhelming and lead to different potential outcomes.There is extensive choice in ecology and evolution between packages for both fundamental statistics and for more specialized domain‐level analyses.Here, we provide a checklist to inform these decisions based on the principles of resilience, need, and integration with scientific workflows for evidence.It is important to explore choices in any analytical coding environment—not just R—for solutions to challenges in ecology and evolution, and document this process because it advances reproducible science, promotes a deeper understand of the scientific evidence, and ensures that the outcomes are correct, representative, and robust.

Cgmanalysis: An R package for descriptive analysis of continuous glucose monitor data.

Continuous glucose monitoring (CGM) is an essential part of diabetes care. Real-time CGM data are beneficial to patients for daily glucose management, and aggregate summary statistics of CGM measures are valuable to direct insulin dosing and as a tool for researchers in clinical trials. Yet, the various commercial systems still report CGM data in disparate, non-standard ways. Accordingly, there is a need for a standardized, free, open-source approach to CGM data management and analysis. A package titled cgmanalysis was developed in the free programming language R to provide a rapid, easy, and consistent methodology for CGM data management, summary measure calculation, and descriptive analysis. Variables calculated by our package compare well to those generated by various CGM software, and our functions provide a more comprehensive list of summary measures available to clinicians and researchers. Consistent handling of CGM data using our R package may facilitate collaboration between research groups and contribute to a better understanding of free-living glucose patterns.

Economical, environmental and exergetic multi-objective optimization of district heating systems on hourly level for a whole year

District heating systems are proven to be an effective way of increasing energy efficiency, reducing the environmental impact and achieving higher exergy efficiency than individual heating solutions. The leaders in district heating integration are Scandinavian countries with more than 50% of the covered total heating demand. Nevertheless, these systems haven’t reached their full potential in most European countries. The reason for this could be that energy planners often study only the economic feasibility of the system, thus neglecting other crucial aspects of the previously mentioned district heating. In research papers, district heating multi-objective optimization usually takes into account the minimization of the total discounted cost and the environmental impact. Most times, these two objectives are studied as a single objective optimization problem through the internalization of the cost related to carbon dioxide emissions. This paper presents the multi-objective optimization method which is capable of optimizing district heating technology supply capacities and their operation, including thermal storage, for a one-year time horizon in order to satisfy the optimization goals. The model was written in the open-source and free programming language called Julia, while linear programming solver named Clp was used to obtain the solution. The solver is part of Julia’s optimization package called JuMP. Three separate objective functions are included in the model: the minimization of the total discounted cost, the minimization of carbon dioxide emissions and the minimization of exergy destruction. Since these three goals are often in conflict, the final result of multi-objective optimization is the so-called Pareto surface which presents the compromise between all possible results. To deal with the multi-objective optimization problem, the weighted sum method in combination with the epsilon-constraint method was used. The most suitable result has been chosen using the knee point method which is a solution the closest to the Utopia solution where all three goals reach their optimal value.

Sistema para la Gestión y Control de marcaciones del personal de la Universidad Metropolitana del Ecuador

The main objective of the project is focused on the development and implementation of a system for the management and control of markings for the personnel of the Metropolitan University of Ecuador, which fundamentally seeks to reduce the evasion of attendance record markings of teaching, administrative and auxiliary, in front of the assistance control teams by sending early alerts remembering to record your entry or exit. Considering the data collected by biometric devices that are strategically located in dependencies of the institution. The project is carried out in a web environment supported by the free software approach and which is adjusted to the infrastructure that the institution has, and since this software can be implemented in a multiplatform environment, this system adapts to business software like the UMET counts. For the execution of this project, the RUP Unified Rational Process is used as a software methodology, because this methodology mitigates the risks in software implementation. Free programming languages such as PHP and SQL were used as a database language, using MariaDB as the manager of those databases.

Scorecard System for the Manufacturing Sector Leather and Saddlery in Venezuela

The study deals with the design of an information system for companies' manufacturers' saddlery and harness in Venezuela, which allows offering its users the possibility of developing an effective and efficient performance. To achieve in this paper types Generic Strategies (Porter) is analyzed and the theoretical foundations of the Balanced Scorecard (Kaplan and Norton) also runs as strategic management model that seeks to verify the alignment of the organizational functions with the strategy through structural indicators proposed by this model. The product of this study is the System Scorecard (SICMAIN), software that allows through the use of indicators to measure the management strategy of the organization. The software is a web-based system was conceived and developed under the philosophy of Balanced Scorecard of Kaplan and Norton Doctors, specially designed for manufacturing companies in the industrial sector in Venezuela saddlery and harness. It is a modular system consisting of 4 sections which are included; the registration data of the company, a loading and maintenance of indicators to be monitored, one for the analysis of balanced scorecard and for graphical analysis. The development is based entirely on free programming language (free software) such as: PHP, HTML, JavaScript and JQuery latter integrated together with other components. Under Apache server and MySQL database.

Python – A comprehensive yet free programming language for statisticians

This article describes Python - a promising, popular, free programming language. Various tools for computation, analysis and visualization of data especially for the statisticians, available under the Python are briefly discussed in a tutorial centric approach.

The e-NutriHS: a web-based system for a Brazilian cohort study.

The e-NutriHS is a web-based system developed to gather online information on health of a cohort of college students and graduates in nutrition. It consists of six validated and internationally recognized questionnaires regarding demographic and socioeconomic data, dietary habits, physical activity level, alcohol and tobacco use, anti-fat attitudes and personal and family histories. Our software and respective database is hosted in the School of Public Health server and is based on free programming languages. An e-NutriHS prototype was created preceding online deployment. An improved version of the website was released based on 20 volunteers' opinions. A total of 503 users were registered. Considering that web-based systems produce reliable data, are easy to use, less costly and are less time-consuming, we conclude that our experience deserves to be shared, particularly with middle income economy countries.

Практична реалізація факторіального дизайну засобами R

In the article considered the methodological and practical features of the implementation of experimental design (factorial design) in the survey. This type of survey design is come from social psychology and looks very similar to conjoint analysis but gives possibility to use this method in mass surveys. We focused on the implementation of this method in R statistical program. This program was selected as one of the most popular (10th place in common rating of programming languages) and modern free programming language which is developing mostly for data analysis. Therefore we describe all steps of realization of this method in R: construction of the questionnaire, forming an array of vignettes, modeling of orthogonally efficient sample, processing and presentation of results. Design tested in pilot study of factors influencing the selection of students (for this pilot survey was selected 50 students of magistracy of Sociology Faculty of Taras Shevchenko National University of Kyiv) first job, which was presented as an example implementation of the method in R. We tried to write whole code with maximum explanation. Finally some results was presented as linear regression model.

Перколяционное моделирование гидравлического гистерезиса в пористой среде

В работе рассматриваются различные модели гидравлического гистерезиса, возникающего при инвазивной ртутной порометрии. Для моделирования гидравлического гистерезиса используется изотропная перколяция узлов на трехмерных квадратных решетках с $(1,\,\pi)$-окрестностью. Феноменологически исследуется взаимосвязь данных инвазивной порометрии с параметрами перколяционной модели. Реализация перколяционной модели основана на библиотеках SPSL и SECP, выпущенных под лицензией GNU GPL-3 с использованием свободного языка программирования R.

Структура моделей перколяции узлов на трехмерных квадратных решетках

В работе рассматривается структура моделей перколяции узлов на трехмерных квадратных решеткахпри различныхфор мах (1,π)-окрестности. Для этихмо делей предложены изо- и анизотропные модификации алгоритма инвазивной перколяции с (1,0)- и (1,π)-окрестностями. Все рассмотренные алгоритмы являются частными случаями анизотропного алгоритма инвазивной перколяции на n-мерной решетке с (1,π)-окрестностью. Данный алгоритм положен в основу библиотеки SPSL, выпущенной под лицензией GNU GPL-3 с использованием свободного языка программирования R.

Visualizing the hill of vision in 3D using the free programming language ‘R’

Visualizing the hill of vision in 3D using the free programming language ‘R’

Introduction to scientific programming and simulation using R

Known for its versatility, the free programming language R is widely used for statistical computing and graphics, but is also a fully functional programming language well suited to scientific programming.An Introduction to Scientific Programming and Simulation Using R teaches the skills needed to perform scientific programming while also introducin