Software Features Research Articles

Wash-free operation of smartphone-integrated optical immunosensor using retroreflective microparticles

Herein, we introduce a smartphone-integrated immunosensor based on non-spectroscopic optical detection. Sedimentation of the retroreflector and gentle inversion of the microfluidic chip was chosen as biosensing principles to ensure minimal human involvement. To realize this, wash-free immunosensing was implemented on a polymeric microfluidic chip device fabricated for light signal penetration in retroreflection signal acquisition. Applying a transparent chip and passive modulation of retroreflectors enabled the minimization of human error during sensing. In addition, a retroreflection-detectable optical gadget was constructed for integration with the commercial smartphone. The gadget had an optical chamber that induced retroreflection by integration with a smartphone. When the micro-sized reflector, named the retroreflective Janus microparticle, reacted on the sensing surface, the incident light was retroreflected towards the image sensor and quantified by a smartphone-installed Android application package. The developed application package features include time-lapse image capture performed by manipulating LED flash and camera modules, and quantification of retroreflected signal counts by image processing of time-lapse images. With this platform, the user could independently commence optical signal processing without a complicated optical setup and running software on a PC, and sensitive and reproducible immunosensing results could be obtained. The applicability test for creatine kinase-myocardial band detection from the buffer to serum was conducted and presented a calibration curve of 0–1000 ng/mL within 1 h. With the developed system, we believe that the applicability of the platform in bioanalytical detection can be expanded.

MegaSDM: integrating dispersal and time‐step analyses into species distribution models

Understanding how species ranges shift as climates rapidly change informs us how to effectively conserve vulnerable species. Species distribution models (SDMs) are an important method for examining these range shifts. The tools for performing SDMs are ever improving. Here, we present the megaSDM R package. This package facilitates realistic spatiotemporal SDM analyses by incorporating dispersal probabilities, creating time‐step maps of range change dynamics and efficiently handling large datasets and computationally intensive environmental subsampling techniques. Provided a list of species and environmental data, megaSDM synthesizes GIS processing, subsampling methods, MaxEnt modelling, dispersal rate restrictions and additional statistical tools to create a variety of outputs for each species, time period and climate scenario requested. For each of these, megaSDM generates a series of distribution maps and outputs visual representations of statistical data. megaSDM offers several advantages over other commonly used SDM tools. First, many of the functions in megaSDM natively implement parallelization, enabling the package to handle large amounts of data efficiently without the need for additional coding. megaSDM also implements environmental subsampling of occurrences, making the technique broadly available in a way that was not possible before due to computational considerations. Uniquely, megaSDM generates maps showing the expansion and contraction of a species range across all considered time periods (time‐maps), and constrains both presence/absence and continuous suitability maps of species ranges according to species‐specific dispersal constraints. The user can then directly compare non‐dispersal and dispersal‐limited distribution predictions. This paper discusses the unique features and highlights of megaSDM, describes the structure of the package and demonstrates the package's features and the model flow through examples.

A review on wireless sensors fabricated using the low temperature co-fired ceramic (LTCC) technology

ABSTRACT In recent years, with the development of wireless communication systems and intelligent auxiliary equipment, the development of various wireless sensors has attracted more and more scientific and commercial attention. A new type of LC (Lenz (inductor) – Capacitor) wireless sensor was designed and fabricated using Low Temperature Co-fired Ceramics (LTCC) technology, including the advantages of low-cost wireless sensing of radio frequency (RF) communications and high operating temperature, miniaturisation, low weight, excellent thermal management, and multilayer printed circuit board of LTCC technology. LTCC technology offers functionalities such as high/low permittivity, low dielectric loss in a single multilayer package and multi-functional features by integration and interconnections. It also offers the highest interconnect density for the fabrication of 3D structures with multilayer additive fabrication of ceramic 2D sheets. In this article, an introduction to the LTCC technology and the mechanism of LC resonance wireless interrogation are overviewed. Then, we summarise the latest developments in wirelessgas, pressure, proximity and microfluidic sensors based on LTCC technology.

UnDiFi-2D: An unstructured discontinuity fitting code for 2D grids

UnDiFi-2D, an open source (free software) Unstructured-grid, Discontinuity Fitting code, is presented. The aim of UnDiFi-2D is to model gas-dynamic discontinuities in two-dimensional (2D) flows as if they were true discontinuities of null thickness that bound regions of the flow-field where a smooth solution to the governing PDEs exists. UnDiFi-2D therefore needs to be coupled with an unstructured CFD solver that is used to discretize the governing PDEs within the smooth regions of the flow-field. Two different, in-house developed, CFD solvers are also included in the current distribution.The main features of the UnDiFi-2D software can be summarized as follows:Programming languageUnDiFi-2D is written in standard Fortran 77/95; its design is highly modular in order to enhance simplicity of use, maintenance and allow coupling with virtually any existing CFD solver;Usability, maintenance and enhancement In order to improve the usability, maintenance and enhancement of the code also the documentation has been carefully taken into account. The git distributed versioning system has been adopted to facilitate collaborative maintenance and code development;CopyrightsUnDiFi-2D is a free software that anyone can use, copy, distribute, change and improve under the GNU Public License version 3.The present paper is a manifesto of the first public release of the UnDiFi-2D code. It describes the currently implemented features, which are the result of more than a decade of still ongoing CFD developments. This work is focused on the computational techniques adopted and a detailed description of the main characteristics is reported. UnDiFi-2D capabilities are demonstrated by means of examples test cases. The design of the code allows to easily include existing CFD codes and is aimed at ease code reuse and readability. Program summaryProgram title: UnDiFi-2DCPC Library link to program files:https://doi.org/10.17632/5hwssmc2mx.1Licensing provisions: GNU General Public License, version 3Programming language: Fortran; developed and tested with Intel Fortran Compiler v. 18.0.3 and GNU gfortran.External routines: The code depends on several libraries and third-party packages which are detailed in the corpus of the text.Nature of problem: Numerical computation of flows with discontinuities.Solution method: Shock-fitting technique.Additional comments including restrictions and unusual features:•At present, UnDiFi-2D is validated for inviscid steady and unsteady two-dimensional flows without changes in the number of discontinuity lines and interaction points.•UnDiFi-2D implements a shock-fitting algorithm and can be coupled with unstructured cell-vertex solvers, with an Arbitrary Lagrangian-Eulerian (ALE) formulation.•UnDiFi-2D project adopts git [1], a free and open source distributed version control system. A public repository dedicated to UnDiFi-2D project [2] has been created on github [3], a web-based hosting service for software development projects using git versioning system. Finally, a comprehensive documentation is provided in the form of user manual developed in Pandoc [4].

Exploring register withThe Prime Machine

AbstractCorpus approaches underpin a range of postgraduate studies and professional work in language, linguistics, translation and beyond. Awareness of the influences of contextual features on language choice is important for many activities: exploring new text varieties; finding relationships between social factors and language patterning; considering choices for post-editing machine translation; and understanding the very nature of language. Work on register relies on corpus methods, but more support and direction could be offered to help undergraduates gain earlier insights into the power of such corpus analysis. This paper introduces some ways register differences can be revealed throughThe Prime Machinecorpus tool (Jeaco 2017a) and describes the design of a practically-oriented undergraduate module which uses this concordancer. Software features include the organization of texts and presentation of source information for readymade corpora, and methods which can be used to reveal useful starting points for register analysis of do-it-yourself corpora.

Statistical detection of synergy: New methods and a comparative study.

Combination therapies are increasingly adopted as the standard of care for various diseases to improve treatment response, minimise the development of resistance and/or minimise adverse events. Therefore, synergistic combinations are screened early in the drug discovery process, in which their potential is evaluated by comparing the observed combination effect to that expected under a null model. Such methodology is implemented in the BIGL R-package which allows for a quick screening of drug combinations. We extend the meanR and maxR tests from this package by allowing non-constant variance of the responses and by extending the list of null models (Loewe, Loewe2, HSA, Bliss). These new tests are evaluated in a comprehensive simulation study under various models for additivity and synergy, various monotherapeutic dose-response models (complete, partial and incomplete responders) and various types of deviation from the constant variance assumption. In addition, the BIGL package is extended with bootstrap confidence intervals for the individual off-axis points and for the overall synergy strength, which were demonstrated to have reliable coverage and can complement the existing tests. We conclude that the differences in performance between the different null models are small and depend on the simulation scenario. As a result, the choice of null model should be driven by expert knowledge on the particular problem. Finally, we demonstrate the new features of the BIGL package and the difference between the synergy models on a real dataset from drug discovery. The BIGL package is available at CRAN (https://CRAN.R-project.org/package=BIGL) and as a Shiny app (https://synergy.openanalytics.eu/app).

Ultrasonic Wire Bond Outlier Classification

Abstract K&S developed and tested the Advanced Process Diagnostics (APD) algorithm to classify bonding outliers in ultrasonic wire bond production. APD is a software feature, part of Kulicke & Soffa wedge bonders to measure and analyze process signals and detect and classify bond outliers. APD helps bonder operators, production supervisors and process engineers to detect process deviations and fix the underlying root causes. APD measures bond signals, such as deformation, ultrasonic current and ultrasonic frequency. Bonds are automatically divided into subgroups based on bond order and process parameters and the signals within a subgroup are then normalized. For outlier classification, the features are extracted from the normalized signals and combined into failure class values. The failure classes, such as contamination, misaligned wire and unstable substrate, are calculated independently. Within the APD feature, a user can define limits for the failure class values and define bonder actions based on the severity of the detected outlier. We measured the detection rates for large wire Al bond failure classes and demonstrate how APD calculates failure class values from the signals. Additionally, we show how new signal features and failure classes can be defined to detect production specific or rare failure classes. Finally, we present outlier classification performance metrics against large production data sets.

High Frequency, Low Loss, Additively Manufactured Hermetic Package

Abstract This paper presents the development of a new type of hermetic cavity package for mmWave RF MMICs. The package features an all copper additively manufactured construction for optimal thermal performance as well as low loss air coax RF signal routing with a critical ceramic feedthrough to isolate the internals of the package from the external environment. With a simulated thermal resistance of 1 C/W, from die backside to package lid, and RF insertion loss of less than 0.5dB from 0–80Ghz, this package can support high power as well as high frequency MMICS. With no polymers in the construction of the package true hermetic performance is expected, making this package a high reliability option as well. For this paper two die were selected for demo packages. These die do not have surface mountable packages offered on the market. The die selected are the CMD247 30–40GHz Low Phase Noise Amplifier from Qorvo and the CHA2080-98F 71–86GHz Low Noise Amplifier from United Monolithic Semiconductors. RF insertion loss as well as environmental reliability will be demonstrated with these devices. The additive manufacturing process used is the proprietary PolyStrata® process developed by Nuvotronics. With the development of 14” panel substrate manufacturing line utilizing a mask-less process, fabrication process can support both high-volume, and high-customization without incurring prohibitive tooling costs.

The forestecology R package for fitting and assessing neighborhood models of the effect of interspecific competition on the growth of trees.

Neighborhood competition models are powerful tools to measure the effect of interspecific competition. Statistical methods to ease the application of these models are currently lacking.We present the forestecology package providing methods to (a) specify neighborhood competition models, (b) evaluate the effect of competitor species identity using permutation tests, and (cs) measure model performance using spatial cross‐validation. Following Allen and Kim (PLoS One, 15, 2020, e0229930), we implement a Bayesian linear regression neighborhood competition model.We demonstrate the package's functionality using data from the Smithsonian Conservation Biology Institute's large forest dynamics plot, part of the ForestGEO global network of research sites. Given ForestGEO’s data collection protocols and data formatting standards, the package was designed with cross‐site compatibility in mind. We highlight the importance of spatial cross‐validation when interpreting model results.The package features (a) tidyverse‐like structure whereby verb‐named functions can be modularly “piped” in sequence, (b) functions with standardized inputs/outputs of simple features sf package class, and (c) an S3 object‐oriented implementation of the Bayesian linear regression model. These three facts allow for clear articulation of all the steps in the sequence of analysis and easy wrangling and visualization of the geospatial data. Furthermore, while the package only has Bayesian linear regression implemented, the package was designed with extensibility to other methods in mind.

Software to Conduct a Meta-Analysis and Network Meta-Analysis.

Statistical software for meta-analysis (MA) and network meta-analysis (NMA) have become indispensable for researchers. The aim of this chapter is to introduce key features of MA and NMA software to compare the effectiveness of interventions. Commonly used or routinely maintained statistical software are reviewed, including commercial and open-sourced programs such as Stata, R and Excel plug-ins. It does not provide a comprehensive overview of all features available in the software covered. Rather, it focuses on the essential features required to carry out an MA or NMA . This chapter begins with a review of key considerations when implementing an MA or NMA , then presents a summary of the software. Key features of each software option are discussed.

Analysis of the implementation of a multi-scenario decision support system in the treatment of lung cancer

The object of the research is the decision support system in the treatment of lung cancer, the subject of the research – the use of a multi-scenario interface in the construction of decision support systems. One of the problem areas in software development is the need for multi-criteria adaptation of interfaces to users. This problem became especially acute after the introduction of quarantine when various automation systems began to develop rapidly, aimed at reducing direct contact between the customer and the service provider. If earlier software users were the more or less related group, now the difference began not only at the level of technical qualifications. Now, when developing software, more attention should be paid to physiological and psychological differences between users, features of hardware and software, environment, and other criteria. In the current situation, it turned out that in most cases automated systems are used by persons who are not interested in these systems but simply have to use them. One of the options for solving this problem is to create an adaptive universal interface. This research is aimed at analyzing methods for implementing multi-scenario decision support systems in the treatment of lung cancer. In the research, attention is paid to the following aspects: adaptive intelligent interface, architecture and structure of the adaptive intelligent interface, algorithms for the functioning of agents of adaptive system interfaces. In the research, the system was used by 500 participants for 30 days. The benchmark was the type of data display scenario selected at the start and end of the day. The research showed a gradual transition of users to scenarios of higher complexity, which involve the analysis of all available information. The tendency of reverse transitions decreases with time, and from the 18th day of using the system, the type of the selected interface changes in rare moments. These results proved the possibility of using automatically configurable interfaces, and bringing them to the final form will be achieved in 18–20 days of using the system.

Design features of medicine box packaging for children

يشكل التصميم الكرافيكي الضرورة الانسانية للفعل التصميمي فليس ثمة انجاز تصميمي لا يُعَدْ في مشروعه التأسيسي وتحققه النهائي عن استجابة ما لضرورة محددة. نتيجة المعرفة التي هي نتاج الخبرة وهي نتيجة العلم التطبيقي فالتصميم يقوم على الملاحظة والدراسة والتطوير وصولاً الى الهدف الرئيس وهو الوظيفة النفعية والجمالية التي توضع في الاعتبار النهائي للتصميم، ولتصميم اغلفة الادوية دور مهم في جميع المجالات التسويقية، إذ ان الشركات تتنافس فيما بينها لجذب اكبر عدد ممكن من المستهلكين بما يضمن لها الربح المادي، ومن اجل تحقيق ذلك تسعى دائما الى تطوير منتجاتها وتمييزها عن منتجات الشركات الاخرى المنافسة عن طريق الاهتمام بتصميم غلاف المنتج و كسب الثقة للمســـــــتهلك والسمعــــة الجيدة يكون باختيـــــار التصـــاميم الجيدة للأغلفـــــــــة للتنفيذ وفق الامكانيات البشرية والتكنولوجية والمادية المتاحة، فالتصميم الناجح للغلاف هو نتيجة عمل مشترك بين (المصمم والمستهلك). وبناء على ما تقدم حددت الباحثة مشكلة بحثها وتتلخص بالتساؤل الاتي: ما السمات التصميمية لأغلفة علب الادوية الخاصة بالأطفال؟ أما أهمية البحث تنقسم الى نوعين:أ‌. نظرية: يمكن ان يسهم في رفد المكتبات لكي يستفاد منها الطلبة والباحثين في هذا المجال.ب‌. تطبيقية: يمكن ان يسعى في افادة الجهات ذات العلاقة ومنها الشركات المختصة بصناعة الادوية. وتضمن هدف البحث وحدود والبحث، وفضلا عن تحديد أهم المصطلحات، أما الفصل الثاني فقد تضمن الإطار النظري الذي قسمته الباحثة الى ثلاث مباحث وهي المبحث الأول: وتضمن تصميم اغلفة عبوات الادوية، الابعاد الوظيفية لأغلفة عبوات الادوية. والمبحث الثاني: تضمن خصائص تصميم اغلفة عبوات الادوية من ضمنها خصائص تتعلق بالمضمون والوظيفة والجمال. واهم المؤشرات التي توصلت اليها الباحثة ومن ثم تناولت الدراسات السابقة.اما الفصل الثالث: فقد تضمن إجراءات البحث وتم تحديد المنهج المتبع في تحليل العينات لملاءمته علمياً في تشخيص الظاهرة المبحوثة، ومجتمع البحث أداة البحث وصدقها وثباتها. أما الفصل الرابع فقد تضمن نتائج البحث والاستنتاجات والتوصيات والمقترحات وكان من أهم النتائج التي توصلت اليها الباحثة كالآتي:1. ظهر توظيف تصاميم اغلفة العبوات الدوائية على وفق رؤية اخراجية لها تأثيرها المباشر في المتلقي لإظهار الابعاد الوظيفية والجمالية والتعبيرية للمنتج.2. ان استخدام المصمم للعلامة التجارية كهوية تعريفية لمنتجات شركة الادوية اذ كان تأثيرها على التصميم هو الجذب والاثارة لتحقيق الشد البصري وتحقق الترويج والتسويق للمنتج ووظيفة التوجه نحو المتلقي بالشراء لكنه لم يضع لها سيادة على بعض اغلفة العبوات.وبعد ذلك توصي الباحثة بعدة توصيات لها علاقة بموضوع البحث الحالي ومن ثم المقترحات التي جاءت بها الباحثة، وتختم البحث الحالي بتثبيت المصادر والملاحق ومن ثم الملخص باللغة الانكليزية

Drone-Based Vibration Monitoring and Assessment of Structures

This paper presents a novel method of procuring and processing data for the assessment of civil structures via vibration monitoring. This includes the development of a custom sensor package designed to minimize the size/weight while being fully self-sufficient (i.e., not relying on external power). The developed package is delivered to the structure utilizing a customized Unmanned Aircraft System (UAS), otherwise known as a drone. The sensor package features an electropermanent magnet for securing it to the civil structure while a second magnet is used to secure the package to the drone during flight. The novel B-Spline Impulse Response Function (BIRF) technique was utilized to extract the Dynamic Signature Response (DSR) from the data collected by the sensor package. Experimental results are presented to validate this method and show the feasibility of deploying the sensor package on structures and collecting data valuable for Structural Health Monitoring (SHM) data processing. The advantages and limitations of the proposed techniques are discussed, and recommendations for further developments are made.

Analysis and assessment of weighted combinatorial criterion for test suite reduction

AbstractSoftware plays an important role in modern society. New software features have to be completed and tested rapidly due to business and user needs and goals. To ensure the quality of modified software components, new test cases must be generated and included in the current test pool. Furthermore, test pool size often grows too large to test all cases. A considerably large test pool typically consumes an exorbitant quantity of time, leading to inefficient regression testing. Test suite reduction is often used to solve this problem by removing redundant test cases. Thus, time and resource constraints make it necessary to minimize the test suite. That is, test pool size should be efficiently reduced, while the remaining test cases should be adequate to provide the same coverage as the pool. The main purpose of this paper is to propose four weighted combinatorial algorithms and a three‐objective binary integer linear programming (ILP) model to improve fault detection effectiveness. We first consider both the control flow and data flow as our testing criteria and combine them by using a weighted means with four existing test suite reduction algorithms. A genetic algorithm is used to find the best combination of weighting factors to assign to the two testing criteria. Experiments based on real subject programs are presented. Experimental results demonstrate that 77.5% of our proposed weighted combinatorial algorithms have an even or better performance in suite size reduction, 83.75% of our approaches perform even or better in fault detection effectiveness, and 82.5% of our approaches have even or better effectiveness in fault‐to‐test ratio. For the three‐objective binary ILP model, test suite size is significantly reduced without any accompanying loss in fault detection ability.

Conceptualizing learning about proteins with a molecular viewer in high school based on the integration of two theoretical frameworks.

The use of a molecular viewer to visualize proteins has become more prevalent in high schools in recent years. We relied on the foundations of two theoretical frameworks to analyze questions in two learning tasks designed for 10th- to 12th-grade biotechnology majors that make use of Jmol. The two theoretical frameworks were: (i) classification of scientific knowledge into content, procedural, and epistemic knowledge; and (ii) evaluation of the cognitive skills central to visual literacy in biochemistry. During the analysis, two sub-elements of procedural knowledge emerged from the data: (i) the visualization of molecular models, and (ii) the use of Jmol software features. Based on the theoretical frameworks and data analysis, we suggest a conceptualization of learning about proteins using a molecular viewer, where the scientific knowledge elements are integrated with the eight cognitive skills central to visual literacy in biochemistry. In addition, a model presenting a hierarchy for the knowledge elements and sub-elements is suggested. In this model, content knowledge is a basic requirement; without it, the other knowledge elements cannot be used. Moreover, the use of epistemic knowledge or Jmol software features is not possible without visualization of the molecular models, which requires content knowledge. This conceptualization is expected to facilitate the development of learning tasks, decrease the complexity of knowledge acquisition for students; it may also assist the teacher during the teaching process.

An optimal diet for planet and people

An optimal diet for planet and people

Grey-Box Technique of Software Integration Testing Based on Message

In the software integration testing, the combined exploding problem was appeared for GUI (Graphic User Interface) software with many advantages. Based on the engineering thinking of staging and the feature of GUI software, the grey technique of integration testing for GUI Software based on message is proposed to solve this problem, in which, the white-box method is used to deal with the consistent and unified part and black-box method is mainly engaged to dispose the difficult and varied part of software testing. By analysis of basic GUI software, the application of this grey technique will improve the testing efficiency with 333% according to testing executed number, and the efficiency in terms of testing executed time will be 438%. An actual example in product quality monitoring software has verified the approach and its efficiency of the grey technique.

Metaheuristics and Software Engineering: Past, Present, and Future

This work aims at giving an updated vision on the successful combination between Metaheuristics and Software Engineering (SE). Mostly during the 90s, varied groups of researchers dealing with search, optimization, and learning (SOL) met SE researchers, all of them looking for a quantified manner of modeling and solving problems in the software field. This paper will discuss on the construction, assessment, and exploitation tasks that help in making software programs a scientific object, subject to automatic study and control. We also want to show with several case studies how the quantification of software features and the automatic search for bugs can improve the software quality process, which eases compliance to ISO/IEEE standards. In short, we want to build intelligent automatic tools that will upgrade the quality of software products and services. Since we approach this new field as a cross-fertilization between two research domains, we then need to talk not only on metaheuristics for SE (well known by now), but also on SE for metaheuristics (not so well known nowadays). In summary, we will discuss here with three time horizons in mind: the old times [before the term search-based SE (SBSE) was used for this], the recent years on SBSE, and the many avenues for future research/development. A new body of knowledge in SOL and SE exists internationally, which is resulting in a new class of researchers able of building intelligent techniques for the benefit of software, that is, of modern societies.

KONİK IŞINLI BİLGİSAYARLI TOMOGRAFİDE HAREKET VE GÜRÜLTÜ ARTEFAKTLARINDA PHOTOSHOP PROGRAMI KULLANIMI

Background: Patient movement and noise artifacts are quite common during the CBCT exposure in the head and neck region. Among the underlying causes are the long duration of the device, uncontrolled movements due to the general health of the patients, and excessive mobility of the patients such as children. In this study, various filter methods and software features will be examined to remove artifacts by using Photoshop program.Methods: Five different images with noise and motion artifact were selected. These sections were followed by specific paths with Photoshop filters. Images collected and corrected in the program were evaluated by specialist dentists. Before and after the filtering in the image evaluations, 1 to 5 criterions were evaluated by the experts. Each section was scored as 1 very inadequate, 2 inadequate, 3 normal, 4 adequate, 5 very good.Results: As a result of the evaluation of 50 pieces of noise artifacts evaluated between 1 and 5, the average score was 4.12 points and the results were 1.62 for motion artifacts. According to the results of the Wilcoxon test, a statistically significant difference was found between the rate of postoperative correction of the sections with motion artifact and noise artifact.Conclusion: Motion artifact and noise artifact which may occur due to many reasons are frequently encountered in CBCT examinations. In such cases, with the Photoshop program, the resulting artifacts can be reversed and can be evaluated from diagnostic point of view.KEYWORDSCBCT, Artifact, Noise, Photoshop

RangeShiftR: an R package for individual‐based simulation of spatial eco‐evolutionary dynamics and species' responses to environmental changes

Reliably modelling the demographic and distributional responses of a species to environmental changes can be crucial for successful conservation and management planning. Process‐based models have the potential to achieve this goal, but so far they remain underused for predictions of species' distributions. Individual‐based models offer the additional capability to model inter‐individual variation and evolutionary dynamics and thus capture adaptive responses to environmental change.We present RangeShiftR, an R implementation of a flexible individual‐based modelling platform which simulates eco‐evolutionary dynamics in a spatially explicit way. The package provides flexible and fast simulations by making the software RangeShifter available for the widely used statistical programming platform R. The package features additional auxiliary functions to support model specification and analysis of results. We provide an outline of the package's functionality, describe the underlying model structure with its main components and present a short example.RangeShiftR offers substantial model complexity, especially for the demographic and dispersal processes. It comes with elaborate tutorials and comprehensive documentation to facilitate learning the software and provide help at all levels. As the core code is implemented in C++, the computations are fast. The complete source code is published under a public licence, making adaptations and contributions feasible.The RangeShiftR package facilitates the application of individual‐based and mechanistic modelling to eco‐evolutionary questions by operating a flexible and powerful simulation model from R. It allows effortless interoperation with existing packages to create streamlined workflows that can include data preparation, integrated model specification and results analysis. Moreover, the implementation in R strengthens the potential for coupling RangeShiftR with other models.