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IEEE Green Technologies Conference (GreenTech)

作者： Ngabesong, robert McLauchlan, Lifford Texas A&M Univ Dept Elect Engn & Comp Sci Kingsville TX 78363 USA

ISBN: (纸本)9781728114576

This paper is aimed at implementing the programming language r to analyze and forecast electricity supply-demand for Texas. Historical weekly electricity supply-demand data for Texas, September 2016 through August 2017 was used to forecast future electricity demand. One year of electricity supply demand data was retrieved from the Electric reliability Council of Texas (ErCOT) data bank and arranged in a per day electricity supply-demand, allocated over a twelve month period to give one data point per day. The formulated model was processed and implemented in the r programming environment for stochastic analysis and future electricity demand prediction. The predicted model was compared with the actual electricity supply-demand, September 2017 through June 2018. Time series forecasting of electricity demand provides information about future electricity demand to utility operators, who can make decisions on when to implement peak shaving.

关键词： r programming ErCOT electricity supply-demand electricity demand peak shaving

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Automating physics-based models to estimate thermoelectric-power water use

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ENVIrONMENTAL MODELLING & SOFTWArE 2025年 185卷

作者： Harris, M. A. Diehl, T. H. Sanisaca, L. E. Gorman Galanter, A. E. Lombard, M. A. Skinner, K. D. Chamberlin, C. Mccarthy, B. A. Niswonger, r. Stewart, J. S. Valseth, K. J. US Geol Survey Lower Mississippi Gulf Water Sci Ctr 640 Grassmere Pk DrSuite 100 Nashville TN 37211 USA US Geol Survey Maryland Delaware DC Water Sci Ctr 5522 Res Pk Dr Catonsville MD 21228 USA US Geol Survey New Mexico Water Sci Ctr 6700 Edith Blvd NE Albuquerque NM 87113 USA US Geol Survey New England Water Sci Ctr 331 Commerce Way Pembroke NH 03275 USA US Geol Survey Idaho Water Sci Ctr 230 Collins Rd Boise ID 83702 USA US Geol Survey New England Water Sci Ctr 10 Bearfoot Rd Northborough MA 01532 USA US Geol Survey New England Water Sci Ctr 96 Whitten Rd Augusta ME 04330 USA US Geol Survey Water Mission Area 12201 Sunrise Valley Dr Reston VA 20192 USA US Geol Survey Upper Midwest Water Sci Ctr 1 Gifford Pinchot Dr Madison WI 53726 USA Univ Oslo Dept Math POB 1053 Blindern N-0316 Oslo Norway

Thermoelectric (TE) power plants withdraw more water than any other sector of water use in the United States and consume water at rates that can be significant especially in water-stressed regions. Historical TE water-use data have been inconsistent, incomplete, or discrepant, resulting in an increased research focus on improving the accuracy and availability of TE water-use data using modeling approaches. This paper describes and benchmarks new code that was developed to automate and update a physics-based TE water use model that was previously published. Utilizing the automated physics-based model, monthly TE-power water withdrawal and consumption were calculated for a total of 1341 TE power plants for the 2008-2020 historical reanalysis. The updated and automated physics-based thermoelectric-power water-use model provides spatially and temporally relevant TE water-use estimates that are consistent, reproducible, transparent, and can be generated efficiently for waterusing, utility-scale TE-power plants across conterminous United States (CONUS).

关键词： Water use models Thermoelectric-power water use Water-energy nexus r programming Python

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LLM-Powered Low-Code/No-Code Data Analytics in Education and Workforce Development

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COMPUTEr 2025年第3期58卷 49-59页

作者： Zhong, Chen Oruongo, John Kim, J. B. Joo Baek Univ Tampa Tampa FL 33606 USA

This study explores the large language model-powered low-code and no-code (LC/NC) data analytics methods and evaluates their advantages and risks. Then, we conducted an empirical study at a university to examine how L... 详细信息

关键词： Workforce Development Analytics In Education Business Analysis Techniques Natural Language programming Language Data Analysis Methods r programming Data Analysis Tools Data Analysis Techniques Analytical Skills Digital Transformation Prior Experience Data Mining Software Development Technical Skills Educational Tool Problem Solving Skills Pass rate programming Skills Data Analysis Tasks Graduate Courses Undergraduate Participants Students Gain

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Kingfisher: An open-sourced web-based platform for the analysis of hydrogen exchange mass spectrometry data

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PrOTEIN SCIENCE 2025年第4期34卷 e70096页

作者： Mclaughlin, Nolan K. Pabon, Juan P. rincon Gies, Samantha Dastvan, reza Gross, Michael L. Washington Univ Dept Chem St Louis MO 63130 USA Univ Manchester Fac Biol Med & Hlth Div Mol & Cellular Funct Manchester England Washington Univ Sch Med Dept Biochem & Mol Biophys St Louis MO USA St Louis Univ Dept Biochem & Mol Biol St Louis MO USA

Hydrogen-deuterium exchange mass spectrometry (HDX-MS) is now a critical tool in molecular biology and structural proteomics. It is routinely used to probe protein and conformational dynamics through a well-established experiment where amide hydrogens exchange with deuterium atoms in a buffer containing D2O. Although there have been numerous advances in the field, data analysis still poses challenges mainly due to the need for manual curation of the data and the lack of standardized statistics and accessible software. In response, we developed Kingfisher, an open-source, user-friendly, web-based solution that facilitates downstream analysis using well-established statistics and provides advanced high-resolution representations of the HDX results. Kingfisher is able to read data directly as exported from common software packages and usually takes less than a minute to run the analysis, without the need to download the raw code or install any software. We foresee Kingfisher as a valuable tool for both newcomers and experts in the field of Hydrogen Exchange Mass Spectrometry. Kingfisher is available to all users as an interactive web application at .

关键词： HDX statistics hydrogen-deuterium exchange mass spectrometry open-source software protein r programming structural proteomics

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Optimized Multifaceted Approach in Agriculture by Goal programming with r and Python

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SN Computer Science 2024年第5期5卷 586页

作者： Shalini, K. Polasi, Sridevi REVA University Kattigenahalli Karnataka Bangalore India

Scheduling and organizing is a crucial part of managing the land in agriculture. To do this, cropping pattern optimization within a set of constraints necessitates optimal land utilization. For crop pattern optimization, various techniques including benefit-cost, working, programming, and modeling are frequently utilized. The goal programming approach presented in this study aims to maximize net returns, protein, and calorie values while minimizing land usage in the Uttara Kannada district. For the purpose of selecting the optimum farming plan of GP to optimize the pattern of farming for the chosen region under study, criteria including the quantity of net income and the utilization of land by various plans were taken into consideration. The pattern of cropping was optimized utilizing the GP strategy, r programming and python. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

关键词： Calories Goal programming Net return Protein Python r programming

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radial image processing for phase extraction in rough-surface interferometry

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MEASUrEMENT 2025年 250卷

作者： Kucharski, Dawid Wieczorowski, Michal Poznan Univ Tech Inst Mech Technol Poznan Poland

This paper presents a newly developed phase extraction algorithm to determine surface displacements and accurately estimate surface roughness parameters. The algorithm utilises radial image processing to extract the phase from the central region of an interferogram with circular fringes obtained from a self-built Michelson- type interferometer with a single rough surface. A key advantage of the method lies in its ability to leverage the entire image for phase extraction, even when the fringes are fragmented, or the central region is unclear. The linear relationship between the extracted phase and the object's displacement eliminates ambiguities associated with intensity measurements near maximum or minimum values while reliably indicating the direction of motion. Furthermore, the algorithm effectively addresses speckle interference challenges, common in industrial applications where lasers are the primary light source. The proposed setup, combined with the advanced image processing algorithm, achieves displacement measurements with sub-micrometre precision, offering a robust tool for analysing rough surfaces in industrial environments.

关键词： Surface texture Phase shifting interferometry r programming

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Hurdle Models in Psychology-A Practical Guide for Inflated Data

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International journal of psychology : Journal international de psychologie 2025年第3期60卷 e70042页

作者： Mabire-Yon, renaud PSITEC Laboratory - Psychology: Interactions Time Emotions Cognition University of Lille Lille France

In psychological research, variables often exhibit point-mass inflation-for example, many zero responses or other boundary lumps-that defy standard regression techniques. Hurdle models address this challenge by separating the zero-generating process from the distribution of nonzero (or non-boundary) observations, thereby allowing for more accurate modelling of behaviour and outcomes. In this paper, I introduce the conceptual basis of Hurdle models and demonstrate how they can be applied to count data as well as other types of data (e.g., continuous variables with excess zeros). Using a step-by-step tutorial in r, I illustrate how the two-part hurdle structure-consisting of a binary component for point-mass observations and a truncated distribution for positive (or above-threshold) values-provides nuanced insights that simpler models often miss. To illustrate this approach, I walk through a fictional dataset examining home-based HIV testing among men who have sex with men, highlighting the Hurdle model's ability to simultaneously handle overdispersion and excess zeros. Emphasising iterative model evaluation, goodness-of-fit checks and a series of practical recommendations, this paper aims to equip psychologists with a robust analytical framework that promotes deeper, theory-aligned interpretations of data-ultimately fostering innovative research in diverse areas of psychological science. © 2025 International Union of Psychological Science.

关键词： count data analysis data science in psychology Hurdle model psychological research r programming zero inflation

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Spatio-temporal crime pattern analysis in Addis Ketema, Addis Ababa, Ethiopia: GIS and r based approaches

Scientific African

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Scientific African 2025年 28卷

作者： Mekonnen, Ziyen Achamyeleh Engda, Esubalew Mulugeta Deraro, Kanenus Fufa Agegnehu, Natnael reda, Talema Moged Jothimani, Muralitharan Department of Spatial Decision Support Space Science & Geospatial Institute Addis Ababa Ethiopia Department of Geodesy and Geodynamics Space Science & Geospatial Institute Addis Ababa Ethiopia Department of Remote Sensing Space Science & Geospatial Institute Addis Ababa Ethiopia Department of Geology Arba Minch University Arba Minch Ethiopia

Spatio-temporal crime analysis is a critical component of modern law enforcement and urban planning, aiming to understand the dynamic nature of criminal activities within a geographic context. This study presents a comprehensive approach to spatio-temporal crime analysis using r programming language. The study begins by collecting and preprocessing 5-year crime data, incorporating both spatial and temporal dimensions. It applies various exploratory data analyses to unveil underlying patterns and trends in the data, including hotspot identification, density estimation, and cluster detection to pinpoint areas of high criminal activity and potential crime clusters. The results reveal that fraud, accounting for 19.5 % of reported crimes, is the most prevalent crime, followed by attempted murder (11.1 %) and drug offenses (9 %). Temporal trends indicate that fraud peaked in 2018, while attempted murders showed the highest frequency in 2021. Crime incidents were most frequent in the summer months, with notable spikes in June and July for attempted murder, and August through October for fraud. The spatial analysis identified crime hotspots in areas such as Merkato and Autobis Tera, where commercial activity and transportation hubs correlate with high crime concentrations. The study recommends continuously collecting and analyzing crime data to identify emerging trends and adapt strategies accordingly. © 2025 The Author(s)

关键词： Addis Ababa Ethiopia GIS r programming Spatio-temporal crime analysis

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programming Plus Subject Expertise: A Combined Approach for Approval Profile Modification

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COLLECTION MANAGEMENT 2018年第2期43卷 89-100页

作者： Gao, Wenli Turner, Cherie Ke, Irene Univ Houston Lib Houston TX USA

This article focused on the analysis of four years of circulation data from print monographs acquired through an approval plan and firm ordering and incorporated interlibrary loan data to compare purchases with demand. A group of subject areas, including communication, psychology, and engineering were selected as examples for in-depth analysis. Using r programming, the authors automated an analysis to identify areas needing attention. The results from the analysis, together with librarians' subject expertise, enabled librarians to adjust monograph purchases accordingly.

关键词： Approval plan firm orders interlibrary loan r programming usage statistics

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Towards a taxonomy of roxygen documentation in r packages

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EMPIrICAL SOFTWArE ENGINEErING 2023年第4期28卷 1-48页

作者： Vidoni, Melina Codabux, Zadia Australian Natl Univ CECC Sch Comp Canberra Australia Univ Saskatchewan Dept Comp Sci Saskatoon SK Canada

Software documentation is often neglected, impacting maintenance and reuse and leading to technical issues. In particular, when working with scientific software, such issues in the documentation pose a risk to producing reliable scientific results as they may cause improper or incorrect use of the software. r is a popular programming language for scientific software with a prolific package-based ecosystem, where users contribute packages (i.e., libraries). r packages are intended to be reused, and their users rely extensively on the available documentation. Thus, understanding what information developers provide in their packages' documentation (generally, through a system known as roxygen, based on Javadoc) is essential to contribute to it. This study mined 379 GitHub repositories of r packages and analysed a sample to develop a taxonomy of natural language descriptions used in roxygen documentation. This was done through hybrid card sorting, which included two experienced r developers. The resulting taxonomy covers parameters, returns, and descriptions, providing a baseline for further studies. Our taxonomy is the first of its kind for r. Based on previous studies in pure object-oriented languages, our taxonomy could be extensible to other dynamically-typed languages used in scientific programming.

关键词： r programming Package documentation Scientific software Documentation taxonomy

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