Graphical Module Research Articles

MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins.

The MobiDB database (URL: https://mobidb.org/) aims to provide structural and functional information about intrinsic protein disorder, aggregating annotations from the literature, experimental data, and predictions for all known protein sequences. Here, we describe the improvements made to our resource to capture more information, simplify access to the aggregated data, and increase documentation of all MobiDB features. Compared to the previous release, all underlying pipeline modules were updated. The prediction module is ten times faster and can detect if a predicted disordered region is structurally extended or compact. The PDB component is now able to process large cryo-EM structures extending the number of processed entries. The entry page has been restyled to highlight functional aspects of disorder and all graphical modules have been completely reimplemented for better flexibility and faster rendering. The server has been improved to optimise bulk downloads. Annotation provenance has been standardised by adopting ECO terms. Finally, we propagated disorder function (IDPO and GO terms) from the DisProt database exploiting sequence similarity and protein embeddings. These improvements, along with the addition of comprehensive training material, offer a more intuitive interface and novel functional knowledge about intrinsic disorder.

Mandala Art Creator: Art with Python Turtle Graphics

This work explores the use of Python Turtle graphics as a tool for designing art with programming concepts in creative ways. Turtle graphics is an easy and entertaining approach for learners to visualize and play with code in an artistic manner. The paper explains “Mandala Art Creator”; a Python program to generate a random or customized Mandala Art using the Turtle graphics module and its implementation in the textile industry. In Mandala Art Creator the user is prompted to provide their name and choose between two options: random configuration and personalized configuration. The computer’s algorithm determines colors and angles for the Mandala Art on its own in random mode. The user can customize the Mandala Art experience in custom mode by specifying colors and rotation degrees.

PACKET ANALYZER OF ONLINE ECG SIGNALS

This paper presents the implementation of online acquisition software for electrocardiogram (ECG) signals. This program is based on the Python language and it allows the adaptation of a commercial offline signal acquisition board into an online signal acquisition board. Here, the concept of online acquisition is applied when the signal can be analyzed in short time intervals, such as a few seconds. The developed system is divided into two parts: the acquisition module; and the graphical user interface (GUI). The acquisition module is responsible for recording and processing the raw signal, making it available to the graphics module. The developed structure allows the algorithm to be used in more complex applications, abstracting the acquisition logic. Furthermore, the acquisition module has acquisition settings, defined by the user when initializing the module. This work presents a simple example of an application using the module. In this case, the system stores the information from the acquisition module and constantly plots it on the screen. The program also integrates settings available by code, using command-line arguments. Therefore, the developed system presents itself as a powerful tool for online ECG signal acquisition, allowing the use of the board in human-machine interfaces.

CREATING GRAPHS OF MATHEMATICAL FUNCTIONS USING MODERN PROGRAMMING LANGUAGES

Graphing functions and their construction play a very important role in the mathematics course. In the past, programming languages ​​had few options for graphing functions and were mainly created using the dot method. The text size of the computer program was also large. Modern programming languages ​​provide more options for creating function graphs. However, the capabilities of some modern programming languages ​​have not yet been explored at the required level. In this work, a new technology for creating graphs of functions in one of the modern programming languages ​​PascalAbc.Net is studied. New nomenclature of graphics modules and computer graphics operators are reviewed. On their basis, computer programs are developed for creating graphs of functions. The field of their application is shown, including for solving the system of equations, numerical methods. The function graphs in this work are created in an easy and efficient way, in which functional programming is applied.

Численное моделирование переноса примеси в сплошной среде с использованием суперкомпьютерного моделирования

The article describes modeling the spread of impurities in a continuous medium using the oil leak from a pipeline laid along the bottom of a reservoir as an example, based on the software developed using supercomputer technologies in the C language. A mathematical model is proposed that describes the process of impurity transport in the aquatic environment. The problem is reduced to solving a system of two equations: a generalized differential equation for the transfer of impurities and an equation for the velocity field. In the generalized equation for the transport of impurities, the variable from the function can be expressed by different parameters; within the framework of this problem, the variable is a concentration. In the simulated situation, oil products leak from the main pipeline, the oil products continuously flow into the water source. For the study, there was simulated the area with given boundaries and initial parameters: the size of the area, the flow velocity and the density of the medium. The process of developing and testing a software package based on OpenMP-CUDA is presented. The functionality of the created program allows you to predict the speed and range of propagation of various impurities in various environments with a visual representation. The software package consists of two modules: calculation and visualization. The calculation module is implemented by transferring the computational load to the video card. The graphics module is implemented in Python using the Matplotlib library. The results of numerical simulation of the propagation of a pollutant in a continuous medium are presented. The result obtained coincides with a coincidence with the real situation and the results of other studies. With increasing amount of experimental data and dependent variables (ambient temperature, water salinity, etc.), the accuracy of modeling will increase. The analysis of oil leakage at different fistulas was made in case of an accident and comparison with the results of computer simulation.

TEACHING METHODOLOGY OF COMPUTER GRAPHICS MODULE USING "QUEST" TECHNOLOGY IN GENERAL SECONDARY SCHOOLS

TEACHING METHODOLOGY OF COMPUTER GRAPHICS MODULE USING "QUEST" TECHNOLOGY IN GENERAL SECONDARY SCHOOLS

Ecochange: An R‐package to derive ecosystem change indicators from freely available earth observation products

Abstract Spatial resources accessible for the derivation of biodiversity indicators of the class ecosystem structure are sparse and disparate, and their integration into computer algorithms for biodiversity monitoring remains problematic. We describe ecochange as an R‐package that integrates spatial analyses with a monitoring workflow for computing routines necessary for biodiversity monitoring. The ecochange comprises three modules for data integration, statistical analysis and graphics. The first module currently downloads and integrates diverse remote sensing products belonging to the essential biodiversity class of structure. The module for statistical analysis calculates RasterStack ecosystem‐change representations across areas of interest; this module also allows focusing on species habitats while deriving changes in a variety of indicators, including ecosystem areas, conditional entropy and fractal dimension indices. The graphics module produces level and bar plots that ease the development of indicator reports. Its functionality is described with an example workflow to calculate ecosystem‐class areas and conditional entropy across an area of interest contained in the package documentation. We conclude that ecochange features procedures necessary to derive ecosystem structure indicators integrating the retrieval of spatially explicit data with the use of workflows to calculate/visualize biodiversity indicators at the national/regional scales.

Secure Transaction System Using Face Recognition

The use of online payment is increasing dramatically in today's environment. As a result, this initiative was created to protect payments against internet scams. The project's main goal is to create a secure payment system that uses face recognition and Open CV in Python. It makes use of the confidence level, which is defined as the value generated by the system and used to determine the forecast's accuracy. Several graphic modules were combined with a pattern mirror to create this piece. Before entering a PIN, the system in this project uses face detection and a proxy. Because it embeds elements of the users' faces to increase system accuracy, the algorithm employed in this research will improve the security and efficiency of face recognition. To strengthen security, we have introduced three-fold encryption while the data is being transmitted for authentication. The user's bank balance is confirmed and the work is completed after the system has completed its verification. The suggested system outperforms existing functions, and its user-friendly interface makes it simple to use.

Graphical Interface for the Recommendation System

Today, mathematics plays a huge part of our everyday life. But due to the poor school education and lack of open access resources, many students find it difficult to be fully prepared for the independent external evaluation in mathematics, especially geometry. Although much has already been done to conduct higher knowledge results, lots of students still have gaps in understanding simple problem solving. Clearly, geometry requires a more fundamental and visual implementation to the studying process than algebra in order to increase the overall knowledge level of Ukrainian applicants for higher education. Students often do not have access to innovative studying instruments in their schools necessary for successful completion of geometry classes, which is why they receive weak results in tests.In the research, we are concentrating on the planimetry problems, because they can be easily produced in a written form. After analyzing all types of describing a problem, the best option for the system is the open-type problems with the short answer.The article concentrates on creating a graphical interface module, implementing it to the existing language processing module, and introducing a recommendation system that demonstrates a new fundamental instrument that can change the learning technique and give a comprehensive way of explaining geometry problems.The created system receives an open-type planimetry problem in Ukrainian language, processes it using the NLP module, and transfers the data directly to the interface module, which creates an image of the problem. Then the student can try to draw all the required figures, while the system continuously checks the progress. Recommendations (hints) can be applied during the process by the system.Interface and the NLP modules were created separately, independently, and using different programming languages. For that purpose, we use an intermediate stage – JSON file, which is used to transfer the processed information.

Radiological characterization of a German pressurized water reactor based on a highly resolved method for activity analysis and dose rate calculation

Abstract. The amendment to the atomic act in 2011 results to phase out nuclear energy in Germany until the end of 2022. Subsequently, the licensee of the nuclear power plant is responsible for decommissioning and dismantling. During operation, activation of structures near the core of the reactor occur which govern the amount of radioactive waste, the dose rate distribution and dismantling strategies. Thus, a detailed radiological characterization of in-core and out-core structures is required to optimize decommissioning processes regarding the quantification and minimization of radioactive waste, radiation protection and reducing radiation exposure. These objectives are achieved using an innovative and efficient method developed and applied at the Chair of Repository Safety (Lehrstuhl für Endlagersicherheit, ELS) RWTH Aachen University. Within the framework of the joint project „Development of a methodology for activity analysis and dose rate estimation“, funded by the Federal ministry of Education and Research, approaches the objective to develop a standardized and highly resolved method to calculate time-dependent activity of components and structures near the reactor core based on operating history of the nuclear power plant and neutron fluence distribution. The approach requires the development of a detailed model for Monte-Carlo simulations which provides the basis to neutron fluence, neutron spectra and radiation transport simulations. To calculate the nuclide specific 3-Dimensional (3D) activity distribution of the entire facility, a facility-dependent activation cross section library is produced which focuses on recent nuclear databases (ENDF/B-VIII.0). A highly resolved and space-dependent 3D activity distribution of the entire facility is obtained using a modular program package, developed at ELS, including the activation code ORIGEN2. The results are produced in the form of detailed 3D activity maps. The source terms are generated on the basis of the space-dependent 3D activity distribution using an additional module of the program package. The combination of recent nuclear databases focusing on ENDF/B-VII.1 and complemented by JEFF-3.3 ensures a comprehensive characterisation of source terms. Subsequently, source terms are prepared for 3D radiation transport simulation using the Monte-Carlo method and the computer code MCNP. The simulations are conducted separately for each individual component obtaining the partial contribution of all in-core and out-core structures as well as the dose rate distribution of the entire facility. Similar to the activity calculation, the simulation results are used to generate 3D gamma flux and dose rate maps using the graphic module of the whole program system. On the basis of the radiological characterisation and in view of a high-level radiation protection these maps allow the optimum planning and realisation of the decommissioning and dismantling process of the nuclear power plant.

Methodical basis of formation of digital space performance of contractual construction works

The article searches for an appropriate methodology for the formation of methodological and formal analytical basis for the modernization of models of construction organization based on BIM models.
 The leading area of application of BIM-technologies in construction is the transformation of disparate graphic and tabular elements from the design and estimate documentation into a single system of info-graphic graphic modules, which are integrated by a single information retrieval system. However, in the realities of the domestic construction market and construction administration systems, BIM technologies remain an aid to the visual-graphic and analytical presentation of the content of a construction development project as an object of construction and investment. However, the strategic trend of this market is the formation of construction development as a single environment of the construction project and as a format of construction administration. Given such strategic dominants, there is a need to redirect and readjust the functional content and graph-analytical design of VIM-technologies to the peculiarities of preparation and organization of the construction development project cycle (BDP) – from promoting the initial investment product idea to the end of the development contract. BIM-technologies should no longer be considered solely as an additional tool for visualizing the progress of the project cycle.
 It is substantiated that the digital space of the construction industry (construction projects, construction organizations-participants) in the development of information and communication technologies acquires the characteristics of an alternative construction business, which should function in a certain transformed environment of construction development projects. Technologies directly related to design and construction (BIM, augmented reality, laser scanning, etc.) increase the efficiency of investment and construction projects, while digital data analysis systems contribute to a better understanding of construction market trends.

Knowledge graph augmented advanced learning models for commonsense reasoning

Machine learning is the key solution to many AI issues, but learning models rely heavily on specific training data. While a Bayesian setup can be used to incorporate some learning patterns with previous knowledge, those patterns can not access any organized world knowledge on requirements. The primary objective is to enable human-capable machines in ordinary everyday circumstances to estimate and make presumptions. In this paper we propose to respond to such common sense issues through a textual inference system with external, organized common sense graphs for explanatory inferences. The framework is based on a schematic map as a pair of questions and answers, a linked subgraph from the semantine to the symbolic space of knowledge-based external information. It displays a schematic map with a new network graphic module for information knowledge and performance with graph representations. LSTMs and graphical networks with a hierarchical attention-based direction are the basis of our model. It is flexible and understandable from the intermediate attention scores, leading to confident results. We also achieved state-of-the-art reliability on CommonsenseQA, a broad database of common sense reasoning utilizing ConceptNet as the only external tool for BERT-based models.

Pre-service Teachers’ Visuospatial Cognition: 2D to 3D Transition

This research focused on first-year university students’ visuospatial cognition in terms of producing three-dimensional (3D) representations of objects from two-dimensional (2D) views. The research was important since students often had difficulty with 2D to 3D transition activities. A synthesis from the literature established a 2D to 3D conceptual framework for an effective 2D to 3D transition. In essence, the 2D to 3D conceptual framework encompassed encode, integrate and construct as the principle facets in 2D to 3D visuospatial cognition. Students in this study were pre-service teachers enrolled for an engineering graphics module at a university in KwaZulu–Natal province of South Africa. The study was grounded on the generally accepted understanding that the ability to produce 3D images of an object from its 2D views is related to visuospatial skills. In the context of this study, visuospatial skills were viewed from the perspective of mentally visualising 3D objects from their underlying 2D views. The study followed a qualitative design via think-aloud protocol tasks and document analysis. A sample of five students was purposively selected from a population of 100 engineering graphics students. Findings revealed that students with superior spatial imagery ability achieved better success than those who relied on an object imagery process. Furthermore, findings disclosed that students who did well in 2D to 3D activities did not necessarily have greater procedural knowledge and understanding than their counterparts. These findings support the necessity of the inclusion of visuospatial-type activities in engineering graphics instructional material over and above the largely procedural nature of activities that permeates this field.

Statistical analysis of stress-strain state of bearing jaw crusher

The relevance of the work. When creating particularly large machines and systems, in the case of their 3D modeling and detailed study, the load on the central processor of the computer, as well as on the graphic and RAM modules, increases, which significantly slows down the design process and calculations. In the article, a statistical analysis of the stress-strain state of the jaw crusher bearing is carried out to establish the correspondence of the theoretical and actual structural models taking into account all workloads. The objectives of the study. Consider the task of selecting a simpler and “easier” for the calculation model programs, not difficult to parameterize, compared with the original bearing model, but providing accuracy in the calculation in an acceptable range of errors. To analyze the stress-strain state of the bearing assembly with various geometric parameters. Research methodology. In the calculations, the finite element method was used. Used specialized software package APM WinMachine. A computational experiment was conducted. A correlation analysis of the theoretical and actual structural model of the bearing is carried out. Results. Mathematical models of the metal structures of bearings of various sections are given and the locations of the highest stresses are identified. Calculation errors and correlation dependencies of stresses are established taking into account the Pearson, Fisher criteria and the construction of the Taylor series. Conclusions. The results of a computational experiment satisfy the requirements and can be used to solve further problems of designing bearing assemblies. In the future, a parameter-dependent model can be created that makes it easier to calculate using any type of bearing

The mathematical description of the part as the source data in the computer-aided design process

The paper reviews the issues of source data generation for automated design of the technological process of machining and geometric information transfer from one design stage to another. When dealing with design issues, the input of source data related to the work-piece and manufacturing conditions plays an important role. The formalized description of these objects is carried out using mathematical models. A drawing of a machine-building part or work-piece is a geometric model of the manufacturing item. However, this model is inconvenient when establishing links in the design of its manufacturing processes. Drawing models are the basis of graphic modules of computer-aided design systems. However, they are inconvenient for achieving process design goals, since the object is known to be surface in machining or assembly process, but not zero-dimensional objects on the plane. It represents a mathematical model of a machine-building part consisting of the basic elements of the form, which can be used in the automated development of the technological process of machining.

Developing a New Software Tool for Research of Interstate Power Grids Expansion

The aim of our research is to develop a new software tool – the Computing and Geo-information System for study of prospective interstate power grids expansion. The new software tool developed by the authors consists of several functional parts (software modules): graphic module for visual analysis of processed data, geo-information and cartographic module, module for working with the integrated ORIRES model (model for optimization of power systems expansion and their operating modes). In this paper, we consider features and technical description of the new software tool. The obtained results of the integrated ORIRES model in tabular, graphic and cartographic forms are presented.

Research on regression test method based on multiple UML graphic models

Most of the existing graph-based regression testing schemes aim at a given Unified Modelling Language (UML) graph and are not flexible in regression testing. This paper proposes a method of a universal UML for a variety of graphical model modifications, and obtains a UML graphics module structure modified regression testing must be retested, determined by the domain of influence analysis on the effect of UML modification on the graphical model test case generated range analysis, finally re-auto generate test cases. This method has been proved to have a high logical coverage rate. In order to fully consider all kinds of dependencies, it cannot limit the type modification of UML graphics, and has higher openness and comprehensiveness.

Research on regression test method based on multiple UML graphic models

Most of the existing graph-based regression testing schemes aim at a given Unified Modelling Language (UML) graph and are not flexible in regression testing. This paper proposes a method of a universal UML for a variety of graphical model modifications, and obtains a UML graphics module structure modified regression testing must be retested, determined by the domain of influence analysis on the effect of UML modification on the graphical model test case generated range analysis, finally re-auto generate test cases. This method has been proved to have a high logical coverage rate. In order to fully consider all kinds of dependencies, it cannot limit the type modification of UML graphics, and has higher openness and comprehensiveness.

AGONOTES: A Robot Annotator for Argonaute Proteins.

The argonaute protein (Ago) exists in almost all organisms. In eukaryotes, it functions as a regulatory system for gene expression. In prokaryotes, it is a type of defense system against foreign invasive genomes. The Ago system has been engineered for gene silencing and genome editing and plays an important role in biological studies. With an increasing number of genomes and proteomes of various microbes becoming available, computational tools for identifying and annotating argonaute proteins are urgently needed. We introduce AGONOTES (Argonaute Notes). It is a web service especially designed for identifying and annotating Ago. AGONOTES uses the BLASTP similarity search algorithm to categorize all submitted proteins into three groups: prokaryotic argonaute protein (pAgo), eukaryotic argonaute protein (eAgo), and non-argonaute protein (non-Ago). Argonaute proteins can then be aligned to the corresponding standard set of Ago sequences using the multiple sequence alignment program MUSCLE. All functional domains of Ago can further be curated from the alignment results and visualized easily through Bio::Graphic modules in the BioPerl bundle. Compared with existing tools such as CD-Search and available databases such as UniProt and AGONOTES showed a much better performance on domain annotations, which is fundamental in studying the new Ago. AGONOTES can be freely accessed at http://i.uestc.edu.cn/agonotes/. AGONOTES is a friendly tool for annotating Ago domains from a proteome or a series of protein sequences.

MATHEMATICAL ANIMATION IN COMPUTER SIMULATION AT SCHOOL

The article considers the task of computer simulation of cardioids as an envelope of the chord family. It is used the new graphics module features of PascalABC.NET to create animations.