Graphical User Interface Program Research Articles

Application of GUI Matlab in physics: Planetary motion (Kepler’s Law)

This study aimed to create a teaching material using an application with a Graphical User Interface (GUI) provided on MATLAB. This teaching material is intended for Physics subject. Creating a GUI with MATLAB was made using the guide facility provided in MATLAB. The MATLAB GUI has a relatively small file size so that it can speed up the running program commands. This research aimed to create an application that is easy and effective to be used by users without having to understand the complexity of computing MATLAB. The application consists of a main menu, a GUI that can be run according to the materials needed by the users, as well as a menu to close the application. The physical matter contained in it is planetary motion (Kepler’s law). Physics learning materials that can be used as a reference in running the GUI program, e-modules containing procedures for creating the GUI by using MATLAB for learning, as well as the MATLAB source code used in every programming. For further research, the author expects the development of this study by using the e-module contained in the application as a material for creating GUI MATLAB.

On the Evaluation of Rhamnolipid Biosurfactant Adsorption Performance on Amberlite XAD-2 Using Machine Learning Techniques.

Biosurfactants are a series of organic compounds that are composed of two parts, hydrophobic and hydrophilic, and since they have properties such as less toxicity and biodegradation, they are widely used in the food industry. Important applications include healthy products, oil recycling, and biological refining. In this research, to calculate the curves of rhamnolipid adsorption compared to Amberlite XAD-2, the least-squares vector machine algorithm has been used. Then, the obtained model is formed by 204 adsorption data points. Various graphical and statistical approaches are applied to ensure the correctness of the model output. The findings of this study are compared with studies that have used artificial neural network (ANN) and data group management method (GMDH) models. The model used in this study has a lower percentage of absolute mean deviation than ANN and GMDH models, which is estimated to be 1.71%.The least-squares support vector machine (LSSVM) is very valuable for investigating the breakthrough curve of rhamnolipid, and it can also be used to help chemists working on biosurfactants. Moreover, our graphical interface program can assist everyone to determine easily the curves of rhamnolipid adsorption on Amberlite XAD-2.

NLossFinder-A Graphical User Interface Program for the Nontargeted Detection of DNA Adducts.

DNA adductomics is a relatively new omics approach aiming to measure known and unknown DNA modifications, called DNA adducts. Liquid chromatography–tandem mass spectrometry (LC-MS/MS) has become the most common method for analyzing DNA adducts. Recent advances in the field of mass spectrometry have allowed the possibility to perform a comprehensive analysis of adducts, for instance, by using a nontargeted data-independent acquisition method, with multiple precursor m/z windows as an inclusion list. However, the generated data are large and complex, and there is a need to develop algorithms to simplify and automate the time-consuming manual analysis that has hitherto been used. Here, a graphical user interface (GUI) program was developed, with the purpose of tracking a characteristic neutral loss reaction from tandem mass spectrometry of the nucleoside adducts. This program, called nLossFinder, was developed in the MATLAB platform, available as open-source code. Calf thymus DNA was used as a model for method optimization, and the overall adductomics approach was applied to DNA from amphipods (Monoporeia affinis) collected within the Swedish National Marine Monitoring Program. In the amphipod DNA, over 150 putative adducts were found in comparison to 18 using a manual approach in a previous study. The developed program can improve the processing time for large MS data, as it processes each sample in a few seconds, and hence can be applicable for high-throughput screening of adducts.

Arbitrary Configurable 20-Channel Coincidence Counting Unit for Multi-Qubit Quantum Experiment

This paper presents a 20-channel coincidence counting unit (CCU) using a low-end field-programmable gate array (FPGA). The architecture of the CCU can be configured arbitrarily to measure from twofold to twentyfold coincidence counts thanks to a multifold controllable architecture, which can be easily manipulated by a graphical user interface (GUI) program. In addition, it provides up to 20 of each input signal count simultaneously. The experimental results show twentyfold coincidence counts with the resolution occurring in a less than 0.5 ns coincidence window. This CCU has appropriate characteristics for various quantum optics experiments using multi-photon qubits.

Matlab graphical user interface (GUI) code for solar tower power plant performance calculations

In the present research, a Matlab program with a graphical user interface (GUI) has been established for studying the performance of a solar tower power plant (STPP). The program gives the ability for predicting the performance of STPP for different tower dimensions, ambient operating conditions and locations. The program is based on the solution of a mathematical model derived from the heat and mass balance for the tower components. The GUI program inputs are; tower dimensions, solar radiation, ambient temperature, pressure, wind velocity, turbine efficiency, emissivity and absorptivity for collector and ground and thermal conductivity and thickness for ground. However, the GUI program outputs are; temperature and pressure differences across the collector and tower, velocity in the tower, density of air in collector outlet, mass flowrate of air, efficiency for collector and tower, the overall efficiency and output power of STPP. The effect of the geometrical dimensions of STPP and some climatic variables on the plant performance was also studied. The results show that the output power increases with increasing the collector diameter, chimney diameter and solar radiation by an increasing of 0.282 kW/m, 0.204 kW/m and 0.046 kW/(W/m2) respectively.

Model-Based Ideal Testing of GUI Programs–Approach and Case Studies

Traditionally, software testing is aimed at showing the presence of faults. This paper proposes a novel approach to testing graphical user interfaces (GUI) for showing both the presence and absence of faults in the sense of ideal testing. The approach uses a positive testing concept to show that the GUI under consideration (GUC) does what the user expects; to the contrary, the negative testing concept shows that the GUC does not do anything that the user does not expect, building a holistic view. The first step of the approach models the GUC by a finite state machine (FSM) that enables the model-based generation of test cases. This is always possible as the GUIs are considered as strictly sequential processes. The next step converts the FSM to an equivalent regular expression (RE) that will be analyzed first to construct test selection criteria for excluding redundant test cases and construct test coverage criteria for terminating the positive test process. Both criteria enable us to assess the adequacy and efficiency of the positive tests performed. The negative tests will be realized by systematically mutating the FSM to model faults, the absence of which are to be shown. Those mutant FSMs will be handled and assessed in the same way as in positive testing. Two case studies illustrate and validate the approach; the experiments' results will be analyzed to discuss the pros and cons of the techniques introduced.

Pycotem: An open source toolbox for online crystal defect characterization from TEM imaging and diffraction.

We present a series of tools working together that facilitate the determination of dislocation Burgers vectors and slip planes, interface plane normals and misorientation between two crystals from a series of Transmission Electron Microscopy (TEM) micrographs and diffraction patterns. To that purpose, we developed graphical user interface programs that allow crystal orientation determination from spot diffraction patterns taken at various tilt angles or from Kikuchi patterns crystal representation from stereographic projection plots and determination of geometrical features from series of conventional images taken at different tilt angles. We present working examples that allow a faster and easier way to analyse data that can especially be retrieved during in situ straining experiments where dislocations and grain boundaries need to be characterized. More generally, these tools target material scientists interested in daily microstructural characterization inTEM.

MyNeutronDAQ: A general program for data acquisition of neutron scattering spectrometers at China Mianyang Research Reactor and on‐line data‐analysis

AbstractMyNeutronDAQ, a graphical user interface (GUI) program for data acquisition of neutron scattering spectrometers at China Mianyang Research Reactor (CMRR) and on‐line data‐analysis has been developed. The program is written in Microsoft Visual C++, which runs under Windows operating systems. Based on the characters of the hardware connection and time‐to‐digital converter (TDC) systems of the spectrometers (taking the time‐of‐flight and polarized neutron reflectometer [TPNR] Diting as the example), a valid event identification and screening protocol is embedded into the program. Moreover, the program design and key features of MyNeutronDAQ such as visualization interface, optional output data format, batch mode, and functions of user‐friendly on‐line analysis, are presented. Taking the program specifically for small‐angle neutron scattering (SANS) Suanni as the example, specific applications of the MyNeutronDAQ are further presented.

InstaDock: A single-click graphical user interface for molecular docking-based virtual high-throughput screening.

Exploring protein-ligand interactions is a subject of immense interest, as it provides deeper insights into molecular recognition, mechanism of interaction and subsequent functions. Predicting an accurate model for a protein-ligand interaction is a challenging task. Molecular docking is a computational method used for predicting the preferred orientation, binding conformations and the binding affinity of a ligand to a macromolecular target, especially protein. It has been applied in 'virtual high-throughput screening' of chemical libraries containing millions of compounds to find potential leads in drug design and discovery. Here, we have developed InstaDock, a free and open access Graphical User Interface (GUI) program that performs molecular docking and high-throughput virtual screening efficiently. InstaDock is a single-click GUI that uses QuickVina-W, a modified version of AutoDock Vina for docking calculations, made especially for the convenience of non-bioinformaticians and for people who are not experts in using computers. InstaDock facilitates onboard analysis of docking and visual results in just a single click. To sum up, InstaDock is the easiest and more interactive interface than ever existing GUIs for molecular docking and high-throughput virtual screening. InstaDock is freely available for academic and industrial research purposes via https://hassanlab.org/instadock.

PUMAA: A Platform for Accessible Microbiome Analysis in the Undergraduate Classroom.

Improvements in high-throughput sequencing makes targeted amplicon analysis an ideal method for the study of human and environmental microbiomes by undergraduates. Multiple bioinformatics programs are available to process and interpret raw microbial diversity datasets, and the choice of programs to use in curricula is largely determined by student learning goals. Many of the most commonly used microbiome bioinformatics platforms offer end-to-end data processing and data analysis using a command line interface (CLI), but the downside for novice microbiome researchers is the steep learning curve often required. Alternatively, some sequencing providers include processing of raw data and taxonomy assignments as part of their pipelines. This, when coupled with available web-based or graphical user interface (GUI) analysis and visualization tools, eliminates the need for students or instructors to have extensive CLI experience. However, lack of universal data formats can make integration of these tools challenging. For example, tools for upstream and downstream analyses frequently use multiple different data formats which then require writing custom scripts or hours of manual work to make the files compatible. Here, we describe a microbial ecology bioinformatics curriculum that focuses on data analysis, visualization, and statistical reasoning by taking advantage of existing web-based and GUI tools. We created the Program for Unifying Microbiome Analysis Applications (PUMAA), which solves the problem of inconsistent files by formatting the output files from several raw data processing programs to seamlessly transition to a suite of GUI programs for analysis and visualization of microbiome taxonomic and inferred functional profiles. Additionally, we created a series of tutorials to accompany each of the microbiome analysis curricular modules. From pre- and post-course surveys, students in this curriculum self-reported conceptual and confidence gains in bioinformatics and data analysis skills. Students also demonstrated gains in biologically relevant statistical reasoning based on rubric-guided evaluations of open-ended survey questions and the Statistical Reasoning in Biology Concept Inventory. The PUMAA program and associated analysis tutorials enable students and researchers with no computational experience to effectively analyze real microbiome datasets to investigate real-world research questions.

Wirelessly triggered bioactive molecule delivery from degradable electroactive polymer films

AbstractThe development of stimuli‐responsive drug delivery systems offers significant opportunities for innovations in industry. It is possible to produce polymer‐based drug delivery devices enabling spatiotemporal control of the release of the drug triggered by an electrical stimulus. Here we describe the development of a wireless controller for drug delivery from conductive/electroactive polymer‐based biomaterials and demonstrate its function in vitro. The wireless polymer conduction controller device uses very low power, operating at 2.4 GHz, and has a supply voltage controller circuit which controls electrical stimulation voltage levels. The computer graphical user interface program communicates with the controller device, and it receives device information, device status and temperature data from the controller device. The prototype of the wireless controller system can trigger the delivery of a drug, dexamethasone phosphate, from a matrix of degradable electroactive polymers. Furthermore, we introduce the application of in silico toxicity screening as a potentially useful method to facilitate the design of non‐toxic degradable electroactive polymers for a multitude of biotechnological applications, addressing one of the key commercial challenges to biomaterial development, in accordance with ‘safe by design’ principles. © 2020 The Authors. Polymer International published by John Wiley & Sons Ltd on behalf of Society of Industrial Chemistry.

Chemical reactivity descriptors as a tool of prediction in the synthesis of sandwich type polyoxometalate organic–inorganic hybrid compounds

In the present study a predictive model aimed at the selection of organic ligands for the successful synthesis of Cobalt sandwich-type polyoxometalate (Co-STPs) organic–inorganic hybrid compounds in aqueous solution, has been introduced. The computations were performed using Gaussian09 and the results have been evaluated by the graphic interface program, GaussView05. Geometry optimization and frequency calculations have been performed at B3LYP level with 6-311G basis set. Dipole moment was recalled from optimization results and reactivity descriptors were calculated via Fukui function using atomic charges and frontier orbitals energies. Firstly the organic molecules with dipole moments more than water are filtered.Then, ligands with less electronegativity, hardness, global electrophilicity and energy bond gap and more softness, global softness and chemical potential found to be promoters for substitution reaction on the cobalt atoms. From the local reactivity descriptors, it is concluded when the fk+, Sk+, ωk+ >fk-, Sk-, ωk- and ωk+ is greater than Sk+, the ligand will undergo substitution reaction.2-Aminobenzimidazole (ABI), 4-nitroaniline (PNA), imidazole and pyridine were evolved in synthesis reaction to test the predicted results for a major product. Applying obtained rules from local Fukui descriptors has predicted ABI and PNA will engage in a substitution reaction, which indeed occurred and resulted in two new thermodynamic controlled and purple colored organic–inorganic hybrid sandwich type polyoxometalates, (PNA)2Na12[Co4(PW9O34)2] and (ABI)2Na12[Co4(PW9O34)2]. These hybrids were characterized by infrared spectroscopy, ICP-MS, TGA-DSC and EDX. Imidazole and pyridine were failed to perform substitution reaction and led to yellow disfavored kinetic controlled products.

MODELLING 2-D PONDASI JEMBATAN BERDASARKAN PEMBEBANAN DAN LETAK POSISI BATUAN ‘X’

This paper contains an analysis of the loading and the position of rock in the bridge foundation based on the rock's response to the force that will be tested with "Graphic User Interface (GUI)" program using MATLAB. This paper also explains the preparation of bridge foundation modeling based on the forces tested on the rock named ‘x’. The response forces discussed in this paper are normal force, latitude force and moment force. The data is processed using MATLAB software and then presented in the form of tables, graphs and 2D modeling that shows the loading and the position of rocks correspondence to the bridge foundation. After obtaining the rock’s ‘x’ data, the data is then processed using Graphic User Interface program, through the program moment force graphs, normal force graphs, latitude graphs can be obtained which later these results can be considered for modeling the loading and the position of the rock’s ‘x’. Through the data processing that has been done, zero normal force is obtained, and the latitude has a value of about (0 to 8) N and the moment force of about (-60 to 0) N. Based on these calculations it was found that the rock’s 'x' can be modeled by arranging it rectangle with center of gravity evenly distributed at the center. And the model that are used is the placement pinch model because it does not have translational and rotational values so that the rock ‘x’ is suitable to be the bridge's foundation.Keywords: Shear forces, Bending Moment, Normal Forces, GUI, Modelling

MODELLING 2-D PONDASI JEMBATAN BERDASARKAN PEMBEBANAN DAN LETAK POSISI BATUAN ‘X’ BERDASARKAN PROGRAM GRAPHIC USER INTERFACE BERBASIS MATLAB

This paper contains an analysis of the loading and the position of rock in the bridge foundation based on the rock's response to the force that will be tested with "Graphic User Interface (GUI)" program using MATLAB. This paper also explains the preparation of bridge foundation modeling based on the forces tested on the rock named ‘x’. The response forces discussed in this paper are normal force, latitude force and moment force. The data is processed using MATLAB software and then presented in the form of tables, graphs and 2D modeling that shows the loading and the position of rocks correspondence to the bridge foundation. After obtaining the rock’s ‘x’ data, the data is then processed using Graphic User Interface program, through the program moment force graphs, normal force graphs, latitude graphs can be obtained which later these results can be considered for modeling the loading and the position of the rock’s ‘x’. Through the data processing that has been done, zero normal force is obtained, and the latitude has a value of about (0 to 8) N and the moment force of about (-60 to 0) N. Based on these calculations it was found that the rock’s 'x' can be modeled by arranging it rectangle with center of gravity evenly distributed at the center. And the model that are used is the placement pinch model because it does not have translational and rotational values ​​so that the rock ‘x’ is suitable to be the bridge's foundation.

Development of a 3D Printer for Concrete Structures: Laboratory Testing of Cementitious Materials

This study deals with (a) the development of a prototype 3D printer for concrete structures having a bed size of 1 × 1 × 1 m for a laboratory testing and (b) laboratory testing of cementitious materials with different design mixes to find their suitability and efficacy for the developed 3D printer. In this printer, a program with the concept of computer numerical controlled milling was adopted to control the nozzle motion using an easy graphic user interface program. The experiment was carried out to test mechanical control and proper material properties of the printer. Thus, the optimum values of water-cement ratio of cementitious materials for the 3D concrete printer were determined by experimental trials. Also, the adequate viscosity of the material for layering and dispensing is determined by a slump-flow test. The suitable size of sands for the dispensing system was found through the trials. However, shrinkage cracks occurred during the hardening process for the paste and mortar that polyvinyl alcohol fibers are added to prevent the cracking and build an improved quality 3D printed structure. After suitable and efficient mix ratio is found, compressive strength is measured for the mechanical property. The experiments demonstrated possibility of printing concrete structure using the 3D printer.

A novel Software Tool for Sizing Off-Grid PV System and PV/Diesel Hybrid System

The design of graphical user interface programming is for sizing the components of a stand-alone PV system and PV-Diesel hybrid power system based on Iraq conditions. This software program presents as a guideline tool for photovoltaic system integrated depends on the input data by the user to give correct results according to the weather condition of solar radiation of Iraq, with less time and effort. A stand-alone solar system design model applied firstly, on a software program is to provide the load with energy 300Wh/day. Secondly, as an experimental application, to identify the appropriate factors that must be entered in the program from average solar irradiation and safety factor, by test the performance of the photovoltaic solar system, where the generation energy rate by the solar module was 381Wh and the consumption energy rate was 250.33Wh during the working period. The system will suffer from a lack of power generation if solar irradiation is not high enough or in case of weather conditions change.

Archeointensity of the Four Corners Region of the American Southwest

AbstractNew paleointensity experiments were conducted using the IZZI protocol (a variation on the Thellier‐Thellier method) on 289 specimens from 54 baked pottery fragments collected from four archeological sites in the American Southwest. Anisotropy experiments were conducted to correct for anisotropy of remanence, a common problem in archeological material. Additionally, the effect of cooling rate was evaluated and the calculated paleointensity values were adjusted accordingly. Using the Thellier graphical user interface program, the specimen results were analyzed, averaged by sample (i.e., pottery fragment), filtered for the highest quality, and converted to Virtual Axial Dipole Moments (VADMs). Stylistic evidence, historical documentation, and dendrochronology analyses provide age constraints with up to decade resolution for the VADM results. We compared these new results with the highest quality previously published paleointensity values from the Four Corners region of the American Southwest—defined here as the four states of New Mexico, Arizona, Utah, and Colorado. None of the previously published data were corrected for cooling rate and only some were corrected for anisotropy, resulting in a systematic bias between data sets. To accommodate this difference, an estimated cooling rate correction was applied to all the previously published data. No correction can be made for anisotropy as this is specimen specific. Our estimated cooling rate correction and the empirical correction applied to the new data both require an estimation of the historical cooling rate of the pottery. Experimental pottery firings using one ancient technique and outfitted with thermocouples were conducted to determine the historical cooling rate.

CFLab: A MATLAB GUI program for decomposing sediment grain size distribution using Weibull functions

Curve fitting is a powerful tool that has been widely used to explore sediment grain size distributions. Open-source software designed for realization of the technique, however, is scarce. Here we provide a flexible and efficient MATLAB® GUI (Graphic User Interface) program CFLab (Curve Fitting Lab) to perform curve fitting on sediment grain size distributions using Weibull Probability Distribution Functions. CFLab deals with one grain size distribution each time. It considers the curve fitting problem as a problem of constrained nonlinear programming. In CFLab, an initial solution for this problem can be set either by designating a series of numbers for the undetermined parameters in the problem or by using a novel interactive strategy. The trust-region-reflective algorithm is used to solve the problem. Major results generated by CFLab include the percentages and grain size distributions of subpopulations fitting the raw grain size distribution data and many statistic parameters of the subpopulations calculated using two different methods. CFLab can be used to study a wide range of eolian and water-deposited sediments. A short case study is presented to demonstrate that the evolution of sediment grain size distributions in a specific sedimentary environment can be explored using CFLab.

Generating and Editing Arbitrary Facial Images by Learning Feature Axis

There are mainly three limitations of the traditional facial attribute editing techniques: 1) incapability of generating an arbitrary facial image with high-resolution; 2) being unable to generate and edit new facial images synthesized by the computer and 3) limited diversity of edited images. This paper presents a method for generating and editing images simultaneously. It incorporates a high-resolution facial image generator, a multi-label classifier, and a Generalized Linear Model (GLM). Experimental results show that our method can generate arbitrary high-resolution facial images, edit computer-synthesized images, perform multi-attribute editing, and effectively control the intensity and style of the generated images. Besides, the approach has high efficiency and flexibility, allowing rapid migration of attribute information from the data set. We design a graphical interface program, which can be integrated as a mobile application.

A practical guide to DNA metabarcoding for entomological ecologists

1. DNA metabarcoding is a cost‐effective species identification approach with great potential to assist entomological ecologists. This review presents a practical guide to help entomological ecologists design their own DNA metabarcoding studies and ensure that sound ecological conclusions can be obtained.2. The review considers approaches to field sampling, laboratory work, and bioinformatic analyses, with the aim of providing the background knowledge needed to make decisions at each step of a DNA metabarcoding workflow.3. Although most conventional sampling methods can be adapted to DNA metabarcoding, this review highlights techniques that will ensure suitable DNA preservation during field sampling and laboratory storage. The review also calls for a greater understanding of the occurrence, transportation, and deposition of environmental DNA when applying DNA metabarcoding approaches for different ecosystems.4. Accurate species detection with DNA metabarcoding needs to consider biases introduced during DNA extraction and PCR amplification, cross‐contamination resulting from inappropriate amplicon library preparation, and downstream bioinformatic analyses. Quantifying species abundance with DNA metabarcoding is in its infancy, yet recent studies demonstrate promise for estimating relative species abundance from DNA sequencing reads.5. Given that bioinformatics is one of the biggest hurdles for researchers new to DNA metabarcoding, several useful graphical user interface programs are recommended for sequence data processing, and the application of emerging sequencing technologies is discussed.