Graphical Display Research Articles

METHODS FOR 3D INVERSION OF GRAVITY DATA IN INDENTIFYING TECTONIC FACTORS CONTROLLING HYDROCARBON ACCUMULATIONS IN THE EL ZEIT BASIN AREA, SOUTHWESTERN GULF OF SUEZ, EGYPT

The Gebel EL-Zeit area in the southwestern Gulf of Suez, Egypt, is an area with a significant hydrocarbon potential in sedimentary basins, so that the three-stage inversion method was proposed for the Bouguer anomalies observed therein. Salt diapirs obscured the deep structure of the main central El-Zeit basin; hence, this method was implemented to overcome challenges in 3D seismic modeling. Our study included direct and inverse parameterization sequences that involved analyzing the inputs and outputs within trial-and-error initiations and inverse estimations to assess whether and how much the constraining parameters used in the calculations could achieve the intended aim. Data reduction, filtering, optimization, and constraint assumptions were used to determine the minimal set of density model parameters needed to set limits on the acceptable range of density contrasts that are required to study the basement depths, swells, troughs, faulting/folding and intra-sedimentary structures, and for direct modeling aimed at creating a simple model to save time. The thirteen constrained wells with a total depth ranging from shallow to deep were not involved in direct modeling but provided quality control over the graphical display of the inverse results for the entire study area. Moreover, many parameter constraints were inverted to regulate the way the calculated data are related to the model’s solution that allowed us to determine which inversion trial provided the best parameterization sequence and, therefore, yielded the most appropriate solution for the depth-density model which is approximating reality with a minimal computation error in the study area.

Semantic Enrichment of BIM: The Role of Machine Learning-Based Image Recognition

Building Information Modelling (BIM) revolutionizes the construction industry by digitally simulating real-world entities through a defined and shared semantic structure. However, graphical information included in BIM models often contains more detailed data compared to the corresponding semantic or computable data. This inconsistency creates an asymmetry, where valuable details present in the graphical renderings are absent from the semantic description of the model. Such an issue limits the accuracy and comprehensiveness of BIM models, constraining their full utilization for efficient decision-making and collaboration in the construction process. To tackle this challenge, this paper presents a novel approach that utilizes Machine Learning (ML) to mediate the disparity between graphical and semantic information. The proposed methodology operates by automatically extracting relevant details from graphical information and transforming them into semantically meaningful and computable data. A comprehensive empirical evaluation shows that the presented approach effectively bridges the gap between graphical and computable information with an accuracy of over 80% on average, unlocking the potential for a more accurate representation of information within BIM models and enhancing decision-making and collaboration/utility in construction processes.

Kharkiv International Competition

One of the sides of a large study dedicated to the forgotten international competition of 1930 for the Project of the State Ukrainian Theater of Mass Musical Action in Kharkiv is touched upon in this article. Its purpose is the reconstruction of the competition events, identifying the features of the process of their organization. The competition attracted a record number of foreign contestants not only from many European countries, but also from other continents (from the USA and Japan). Why did it generate such widespread interest? Which famous architects took part in it? Who evaluated the projects and according to what criteria were the awards distributed? The author of this article is looking for answers to these questions. The problems of the research are due to the fact that the originals of the competition projects have not survived, and their photocopies and preparatory sketches are scattered in the archives of many countries. Information about the competition and its contestants is scarce and is documented in different languages: Ukrainian, German, French, Russian, Japanese, English, Croatian, Swedish. Only painstaking gathering, meaningful and comparative analysis of textual and graphical information obtained during the study, allows the author to reproduce the course of the competition, to reveal its significance for the development of architecture in Ukraine and for the world Modern Movement. The article analyses the methods that ensured a high level of organization of the competition and an open, unbiased assessment of its results. The distribution of prizes and the authors of the winning projects are also listed. The Kharkiv competition took place at a crucial period for the Soviet avant-garde: 1930-1931 were the last years of its heyday, after which it was banned and persecuted for many years. That is why it is so important to collect these lost puzzles of architectural history.

Time Evolution of the Symmetry of Alphabet Symbols and Its Quantification: Study in the Archeology of Symmetry

We investigated the time evolution of the symmetry of symbols constituting alphabets rooted in the Phoenician script. A diversity of quantitative measures of symmetry of graphemes appearing in Phoenician, Western Greek, Etruscan from Marsiliana, Archaic Etruscan, Neo-Etruscan, Euclidian Greek, Archaic and Classical Latin and Proto-Hebrew scripts, constituting the Phoenician script family, were calculated. The same measures were established for the Hebrew/Ashurit and English scripts. The Shannon-like measures of symmetry were computed. The Shannon diversity index was calculated. Our findings indicate that the Shannon diversity index increased with time in a monotonic way for the studied scripts. The diversity of symmetry groups inherent for addressed alphabets grows with time. We also introduced the symmetry factor of the alphabet. The symmetry factor quantifies the averaged level of symmetrization of the alphabet and the possible parsimony of graphical information necessary for the drawing of the entire set of graphemes constituting the alphabet. We found that the symmetry factor is decreased with time for the alphabets rooted in the Phoenician script. This means that the average level of symmetrization of the studied alphabet increases with time. The parsimony of graphical information necessary for writing graphemes is consequently increased with time. The values of the symmetry factor calculated for the addressed scripts are close to one another, with the pronounced exception of the Hebrew/Ashurit script. Our study supplies the arguments for the point of view, according to which the modern Hebrew/Ashurit script did not emerge from the Phoenician one.

Early Childhood Caries and Its Association With Behavior in Preschool Children.

Background and aim Early childhood caries (ECC) is a profoundly impactful multifactorial condition that not only influences a child's overall well-being but also diminishes their quality of life. Given the limited availability of literature on the relationship between children's behavior and ECC, the present study utilized a standardized assessment tool to assess the association between ECC and behavioral changes in preschool children. Methodology Our study cohort consisted of 120 healthy preschool children, aged 18-60 months, evenly divided into two groups: caries-free (group I) and caries active (group II). Clinical features of ECC were meticulously inspected in each child, and the parents or caregivers completed the Child Behavior Checklist (CBCL), which comprises 100 questions related to a child's daily behavior. The total scores, the narrow-band subscales, and raw scores were obtained. Accordingly, for each raw score, t-scores were obtained using the graphic display. These scores were then subjected to various statistical analyses including the Kolmogorov-Smirnov test, Mann-Whitney U test, and Spearman's rank correlation method. Results Results of the present study revealed that there were no significant differences in behavior based on demographic factors such as gender and age. However notable differences were observed in several aspects of behavior between the two groups. Conclusion Caries-active children exhibited significantly higher levels of behavioral problems compared to their caries-free counterparts.

TECHNOLOGY OF THE DEVELOPMENT OF MACHINE-GRAPHICS PROFILE OF A PARTS AND ASSEMBLY UNITS IN TRAINING SKETCHES

The purpose of studying the discipline “Engineering Graphics” is to acquire skills in working with engineering and graphic information: mapping spatial objects to orthogonal planes in the form of a drawing (direct task), reading a drawing (inverse task), ultimately solving spatial and logical problems. The necessity to start performing graphic works with a pencil, paper, using drawing and graphic tools is shown and justified, and only then to involve modern computer technologies for these purposes. Not the ability to work with a pencil; it is not understood that the use of computer graphics hardware and software at the initial stage leads to the loss of graphic competence of the graduate, and ultimately to a decrease in the competitive ability of specialists.

IJCM_361A: Mindful Memories: Breaking the Silence on Alzheimer’s: Awareness on Alzheimer’s disease among health care workers in Shimla City

Background: Alzheimer’s disease is the most common type of dementia which is a progressive disease beginning with mild memory loss and possibly leading to loss of the ability to carry on a conversation and respond to the environment. Currently more than 55 million people have dementia worldwide, over 60% of whom live in low-and middle-income countries. Objectives: This study aims to assess the level of knowledge regarding Alzheimer’s Disease among healthcare workers in Shimla District. Methodology: It was a cross-sectional study conducted from September to October 2023 in Shimla region. The participants were invited openly through social media platform (e.g. WhatsApp, Facebook, Instagram) by sending Google form links, we obtained total of 400 responses. Responses were then recorded in a Google Excel spreadsheet, the information from which was used to generate graphical display. Statistical analysis was done by using Epi Info 7. Results: Around 52% of healthcare workers had good knowledge regarding the disease and around 25% had very good knowledge regarding the same. Most of the participants belonged to the age group of 18-30 years and results were found to be statistically significant in this case. Education played an important role and was found to be statistically significant. Conclusion: Awareness among healthcare workers is important as they can screen the patients early, educate them, and refer them when needed. Medical management can improve the quality of life for individuals and for their caregivers.

Holistic Analysis of Recreation and Leisure Science in Sports

The aim of this research is to analyse scientific publications between 1980-2020 and to make a holistic analysis on recreation and leisure science in sports. Using the data obtained within the scope of the study, information graphics and explanatory bibliometric networks that reveal bibliometric networks were created. According to the results obtained from the study, the most used keywords were found to be “recreation”, “leisure” and “sport/s”. Citation analysis reveals that Lee, Powell and Iwasaki are the most cited authors. There are a total of 475 journals in the data. Leisure Sciences, Journal of Leisure Research and Annals of Leisure Research, are the most cited journals. Griffith University (Australia), University of Illinois (USA) and University of Sydney (Australia) were the leading publishers. It can be stated that the concepts used in leisure and recreation studies focus on physical activity, that the majority of the tourism sector is aimed at the long-term area, that it focuses on theses and government policies to increase participation in physical activity, and that it contains arguments for the development of social theories and practical applications.

WEB QUEST TECHNOLOGY AS A TOOL FOR THE FORMATION OF IT COMPETENCE OF EDUCATION SEEKERS IN PHYSICS CLASSES

The article reveals the relevance and peculiarities of the application of the "Web Quest" technology in the educational process of general secondary education institutions. The main goal of the research consists in improving the methodical system of competence- oriented teaching of physics based on the "Web-Quest" technology. During the research, the methods of comparative analysis, graphical display of results, visualization method, method of systematization, method of processing survey results and method of summarizing research results were used. A key aspect of this technology is the consideration of students as equal co-participants in the educational process, which involves a mutual relationship where the teacher and students together make decisions, determine goals and methods of achieving educational results. An analysis of the latest research is provided, which testifies to the effectiveness of using the "Web-Quest" technology for the formation of information and digital competence of students, increasing students' interest in the subject, developing critical thinking and independence. An example of the use of an educational web quest in physics on the topic "The influence of a magnetic field on living organisms" is given. The stages of students' work on tasks are revealed. R is elaborated methodical tips for teachers of features designing lessons in physics by application educational Web quest.

PEMANFAATAN SISTEM INFORMASI MULTIMEDIA GUNA MENINGKATKAN PEREKONOMIAN MASYARAKAT

Graphic design is an activity that aims to produce usable and aesthetic work for various types of media including multimedia information systems and the delivery process not only in text form, but also using various other visual forms. The development of graphic design is increasingly significant, this can be seen from the various designs on the market. The presence of a graphic design information system can be used to start community economic activities and ultimately improve the community's economy. However, the use of graphic design among the general public is still low, so this research aims to convey knowledge and benefits of graphic design in general and to improve the community's economy in particular.

PCB-based miniature vibro-tactile display for the visually impaired

An estimated 2.2 billion people worldwide are visually impaired (WHO, 2019), yet current Braille readers are limited to one or two rows of text and cannot display images. Thus, a low-cost, electronically refreshable tactile display for accessing graphical and textual information is needed. We are developing such a display using a printed circuit board (PCB) as the substrate and bottom electrode array, and a metalized Kapton film as the vibrating membrane. Punched foam tape is used as a spacer to create a gap between the board and film so the pixels can be actuated electrostatically. The current prototype has 6 pixels at 3.5 mm spacing, Vibration amplitudes of 8 microns peak-to-peak were achieved in a prototype using a drive voltage of 600V at 200 Hz. This is sensible to the human touch. Further optimization requires matching the mechanical impedance of the finger, and maximizing vibration amplitude in the preferred sensible frequency range between 50 and 300 Hz. Finite element analysis (FEA), laser vibrometry, and nano-newton force-displacement measurements have been used to characterize the system. Future versions will increase amplitude, reduce drive voltages, and increase display resolution to larger arrays of more closely spaced pixels through further miniaturization.

A Proposal for the Clinical Characterization of Continuous Glucose Monitoring Trend Arrow Accuracy.

The assessment and characterization of trend accuracy, that is, the ability of a continuous glucose monitoring (CGM) system to correctly indicate the direction and rate of change (RoC) of glucose levels, has received comparatively little attention in the overall evaluation of CGM performance. As such, only few approaches that examine the trend accuracy have been put forward. In this article, we review existing approaches and propose the clinical trend concurrence analysis (CTCA) which is an adaptation of the conventional trend concurrence analysis. The CTCA is intended to directly evaluate the trend arrows displayed by the CGM systems by characterizing their agreement to suitably categorized comparator RoCs. Here, we call on manufactures of CGM systems to provide the displayed trend arrows for retrospective analysis. The CTCA classifies any deviations between the CGM trend and comparator RoC according to their risk for an adverse clinical event arising from a possibly erroneous treatment decision. For that, the existing rate error grid analysis and a specific set of trend arrow-based insulin dosing recommendations were used. The results of the CTCA are presented in an accessible graphical display and exemplified on data from three CGM systems. With this article, we hope to increase the awareness for the importance and challenges of assessing the accuracy of trend information displayed by CGM systems.

Графічний дизайн в контексті культури смаків: освітньо-виховний потенціал

The article examines the place of graphic design in modern post-industrial society, extending beyond purely applied art and aspiring to play the role of an expert in the interiors of human existence, determining the social and cultural status of an individual. It is argued that graphic design, organically integrating into contexts and actively responding to the challenges of such a social-decorative phenomenon as fashion, plays a significant role in shaping taste culture. This attests to the multiplicity of ambivalent cultural manifestations of graphic design. Special attention is given to identifying the functional potential of graphic design in creating cross-cutting trends that, through non-verbal means of communication, can form and maintain social and cultural unity. In connection with this, an analysis of graphic design is carried out through the prism of philosophical communication, allowing the identification of graphic design as the most effective practice of nonverbal communication and information visualization in post-industrial society. It is determined that graphic design is capable not only of generating new meanings but also of creating communicative gaps. Given this specificity, the article particularly focuses on identifying the educational and upbringing potential of graphic design. It is demonstrated that the process of creating visual images and their subsequent interpretation by consumers of graphic information depends not only on the aesthetic taste, ethical beliefs, and humanistic orientation of the designer (visualizer) but also on their educational and upbringing potential. The necessity of strengthening humanistic orientations in modern Ukrainian design and art education is emphasized.

An Autoregressive Transformer Model For Crisis Management Using Twitter Tweets

A disaster is a major event that lasts for a long time and causes a lot of damage to people, property, the economy, or the environment. The damage is so bad that the group or society that is affected can't handle it on its own. When a disaster happens, it costs developing countries the most. More than 95% of all deaths from hazards happen in developing countries, and as a share of gross domestic product, losses from natural hazards are 20 times higher in developing countries than in developed nations. To minimize the loss at the time of disaster and to overcome it quickly, a survey is taken on how to manage disaster effectively using Machine Learning and social networks. Social media platforms like Twitter, Instagram and Facebook acts as a communication medium during disaster and also help to take preventive measures before the occurrence of the disaster. Machine learning algorithms also helps in response and recovery phase after the occurrence of the disaster. The paper aims to provides an elaborated review on the concepts of Machine Learning (ML) along with social media and addresses how various other technologies like use of physical sensors, Remote sensors, Graphical Information System (GIS), Internet of Things (IoT) and Neural Network[1]s like Artificial Neural Network (ANN), Deep Neural Network (DNN) can combine with Machine Learning algorithms for the management of disaster efficiently using social media. Finally, based on the study, a generalized autoregressive pre-training method called XLNet is proposed which overcomes the limitations of BERT using its autoregressive formulation and directions for the future research is explained further.

The mechanism for improving the management of the maintenance and repair process using neural network technology

The system of preventive maintenance for various types of equipment is considered. To identify the need for managerial influence on the processes of maintenance and repair of the product, the coefficient of variation of the maintenance (repair) cycle is proposed. This coefficient is formed by the values of operating time or work between stops for maintenance or repair. To determine its numerical value, it is recommended to use such concepts as "maintenance (repair) cycle" and "frequency of maintenance (repair)". The values of the coefficient characterizing the stability of the process of repair and maintenance of the product are determined. These values of the coefficient are proposed to be used to justify the need to analyze the causes of failures or, in other words, the instability of the repair and maintenance process. The main managerial influences on the process of maintenance and repair are determined, which can be taken as a result of the analysis of the causes of failures. These include: the decision to search for a technical service provider, expanding the competencies of employees, updating the material base. Modern industry 4.0 tools allow you to get the required level of quality when working with a large data stream. The use of neural network technology in various technical service management tasks is due to some advantages over classical methods of statistical processing of results. The experiments of various authors are presented in which it is shown that neural network technologies are able to interpret graphic information, justify its use in technical diagnostics at the stage of analyzing diagnostic information in the form of oscillograms, which allows the use of complex diagnostic equipment in the absence of experts. A neural network simulation was carried out to recognize defects in bearing assemblies. As a result, the created neural network recognized the type of defect in accordance with the matrices of input signals and the output matrix of types of defects, which makes it possible to develop a mechanism for improving technical service using neural networks as a tool for analyzing diagnostic information in the absence of experts in this field.

Application of Machine Learning Modeling for Studying Developed Courses by Animated Informational Graphics

Application of Machine Learning Modeling for Studying Developed Courses by Animated Informational Graphics

Research on Parallel Reading and Drawing Techniques for Chemical Mechanical Polishing Simulation Data Based on Multi-Thread

In advanced integrated circuit manufacturing, the quality of chemical mechanical polishing (CMP) is a key factor affecting chip performance and yield. Designers need to use CMP simulation tools to locate and analyze the defects in the layout after the CMP process. However, the advancement of process nodes and the increase in data volume presents a great challenge to the speed of graphical display of CMP simulation data. To solve this issue, we propose a solution that uses multi-threading technology to optimize both data reading and drawing. In the process of data reading, we employ OpenMP and memory mapping (Mmap) technology to achieve parallel reading of file segmentation and propose a fast-string conversion algorithm based on the properties of simulation data. In the process of data drawing, we propose an adaptive downsampling method for data graphical display that combines multi-threading and double buffering technology to enable the parallel drawing of layouts. The effectiveness of this method is verified by testing CMP simulation data of various scales. Compared to traditional methods, this approach improves reading efficiency by over 8 times and drawing efficiency by more than 10 times. Furthermore, it enhances the smoothness of interaction with the CMP simulation tool.

Which energy labels should we use to expedite the transition to electric vehicles?

In recent years, numerous countries have enacted legislation to halt fossil-fueled vehicle sales within five to 10 years. With shrinking global markets for these vehicles, manufacturers are increasingly motivated to redirect them towards nations with less stringent regulations, using attractive prices and other tactics. However, the sale of new fossil-fueled vehicles poses a public challenge as they will remain in use for years. Consequently, reducing the likelihood of consumers purchasing new fossil-fueled vehicles in favor of electric vehicles is crucial in all countries, particularly those with less stringent regulations, to meet emission goals. Efforts to promote electric vehicle adoption through policy measures fall short due to underestimated cognitive biases and consumer behavior impacts. We contribute to the literature by bridging the gap between human behavioral studies and environmental policy. We incorporate choice architecture into energy labels to determine which information architecture regarding energy costs is an effective nudge in increasing electric vehicle purchase intentions. Our experiment finds that labels framing energy costs as ‘expenditure,’ rather than ‘savings,’ are more effective in increasing the intent to purchase an electric vehicle. Additionally, we find that a graphical display of expenditure was not effective in influencing purchase intentions. Policymakers can use similar choice architecture tools to encourage electric vehicle adoption, expediting the transition to electric vehicles and achieving national environmental goals.

Surface-Enhanced Spatially Offset Raman Spectroscopy in Tissue.

One aim of personalized medicine is to use continuous or on-demand monitoring of metabolites to adjust prescription dosages in real time. Surface-enhanced spatially offset Raman spectroscopy (SESORS) is an optical technique capable of detecting surface-enhanced Raman spectroscopy (SERS)-active targets under a barrier, which may enable frequent metabolite monitoring. Here we investigate how the intensity of the signal from SERS-active material varies spatially through tissue, both experimentally and in a computational model. Implant-sized, SERS-active hydrogel was placed under different thicknesses of contiguous tissue. Emission spectra were collected at the air-tissue boundary over a range of offsets from the excitation site. New features were added to the Monte Carlo light-tissue interaction model to modify the optical properties after inelastic scattering and to calculate the distribution of photons as they exit the model. The Raman signals were detectable through all barrier thicknesses, with strongest emission for the case of 0 mm offset between the excitation and detector. A steep decline in the signal intensities occurred for offsets greater than 2 mm. These results did not match published SORS work (where targets were much larger than an implant). However, the model and experimental results agree in showing the greatest intensities at 0 mm offset and a steep gradient in the intensities with increasing offset. Also, the model showed an increase in the number of photons when the new, longer wavelengths were used following the Stokes shift for scattering and the graphical display of the exiting photons was helpful in the determination and confirmation of the optimal offset.

Sustainability through materials: A review of green options in construction

In light of the growing worldwide consciousness regarding environmental issues and the depletion of resources, attaining sustainability in the construction sector has become a necessity. This study carefully examines how environmentally friendly materials support sustainable building practices, emphasizing three key areas of investigation: the broad spectrum of feasible green materials, the quantitative differences in emissions between green and conventional materials, and the overall effect of these materials on the economy and health. The study employs a robust quantitative approach, leveraging numerical optimization and detailed analyses to explore a wide array of environmental resources, including recycled, renewable, and low-impact options. A comparison between materials is completed, offering refined insights into the environmental benefits of green materials across the entire life cycle-from manufacturing to lifecycle. The primary findings highlight the observable benefits of using these materials and demonstrate how they can drastically lower emissions and environmental effects. It offers verifiable proof of the viability of removing dangerous exposures and promoting healthier indoor environments by utilizing environmentally friendly materials. The graphical information and numerical findings that are provided in this paper form the basis for putting workable and significant strategies into action. The results support the broad use of green materials by providing evidence of their beneficial effects on economic growth, environmental preservation, and human health. The strong quantitative evidence highlights the applicability of these suggestions and offers a convincing case for incorporating sustainable practices in the building industry.