Graphical Diagrams Research Articles

CALCULATION OF BEARING CAPACITY AND SUBSIDENCE OF INITIAL EMBAY IN IN REK “OSLOMEJ” - KICHEVO, R. NORTH MACEDONIA

This paper presents the geomechanical conditions for the construction of a landfill for ash and slag in REK Oslomej - Kicevo, R. North Macedonia. In this context, geotechnical investigation works and laboratory tests on the construction site, as well as the research and test methodology, are presented, and the obtained results are given in the form of appropriate graphic attachments, tabular views and diagrams. In the second part of the paper, an analysis of the geomechanical conditions for the performance of the ash and slag landfill is made, referring to the conditions for the performance of the projected initial embankments. Several aspects have been analyzed, i.e. the bearing capacity of the base constructed from tailings materials which are characterized by relatively low values of the strength and deformable parameters, forecast subsidence of the base, the possibility of underfoot sliding on the slopes of the embankments, as well as technical conditions for the construction of the embankments themselves. It should be noted that all analyzes are made with assumed values of the material to be incorporated in the embankments, which should be quantitatively and qualitatively defined after the selection of the location for the loan. However, it is appreciated that these analyzes will make their own contribution and will realistically show the expected situation during exploitation of the landfill.

On the hydrothermal features of MHD nanofluid flow over a differently shaped thin needle influenced by Hall current with nonlinear thermal radiation

PurposeThe investigation has appraised the problem of an incompressible laminar steady magnetohydrodynamic (MHD) nanofluid stream over three distinct slendering thin isothermal needles of paraboloid, cylindrical and cone shapes. Water as a base liquid is assumed in this flow model. The influences of the Hall current and variable sorts of magnetic forces have enriched our investigation. Energy and concentration expressions consist of thermophoresis and Brownian migration phenomena. The analysis of thermal and mass slips of the presumed model has also been performed.Design/methodology/approachA relevant transformation is implemented for the alteration of the leading partial differential equations (PDEs) to the equations with nonlinear ordinary form. Due to the strong nonlinearity of the foremost equations, the problem is solved numerically by embedding the well-known RK-4 shooting practice. The software MAPLE 2017 has been exploited in reckoning the entire computation. To enunciate the investigated upshots, some graphical diagrams have been regarded here. According to technological interest, we measured the engineering quantities like the Sherwood number, the coefficient of drag friction and the Nusselt number in tabular customs.FindingsThe obtained consequences support that Hall current intensifies fluid movement when the needle is in a cone shape, while the superior velocity is noticed for cylindrical-shaped needles. The transference of heat responds inversely along with the growths of thermal and mass slip factors.Originality/valueNo work has been performed on the flow model of radiated nanofluid over a variable-shaped thin needle under Hall current, the variable magnetic field and different slip factors.

Hydrogeochemical assessment and spatial analysis of groundwater quality parameters in North West of Morocco

Global warming, population growth, agricultural intensification, and rising industrial productivity have affected groundwater quality. However, assessing groundwater quality enables us to understand the risk of contamination better and protect these natural resources in the long term. The objectives of this study are to evaluate the physicochemical parameters of groundwater for human drinking purposes in North West of Morocco and to identify their geogenic and/or non-geogenic origins through the use of graphical diagrams (Piper and Schoeller Berkaloff) and by GIS interpolation tools to recognize the main geochemical processes governing groundwater quality.For this purpose, the physico-chemical parametrs analyzed of groundwater in the Bouregreg basin and the southern part of the Sebou basin, using 51 water points in the study region’s rural area. Specific physicochemical water parameters (pH, TH, TAC, and electrical conductivity), cations (K+, Na+, Ca2+, and Mg2+), and anions (Cl-, NO3–, HCO3– and SO42-) were measured and analyzed for human consumption. Piper diagrams and ArcGIS geoprocessing were used to identify groundwater hydrochemical facies and study the spatial distribution of estimated parameters concerning geology and anthropogenic factors.All the parameters measured were below the threshold values required by the WHO for human drinking water, except nitrates, recorded in one sample at a concentration of 88.75 mg/L. Piper and Schoeller Berkaloff diagrams show that strong acid (Cl-) and weak acid (HCO3–) appear considerably over the other acids (NO3– and SO42-). In contrast, most sources show no cation dominance. The Calcium and magnesium chloride facies (43 %) and Calcium-magnesium bicarbonate facies (35 %) are the most facies presnent in this stydy. Geoprocessing showed that the chemical composition of the various sampling points is governed mainly by lithological diversity, except for S35, which showed an anthropogenic origin.

КОМПОНЕНТЫ СИСТЕМЫ ПОДБОРА СПЕЦИАЛИСТОВ В СОСТАВ ЭКСПЕРТНЫХ ГРУПП

This study is devoted to one of the stages of developing an automated system for selecting specialists for enterprises in the mechanical engineering sector, namely to the preparatory stage of the application development. At the preparation stage, basic interaction schemes are worked out, the stages of system operation are described, and the tools that will be used for further implementation are determined. The paper describes the components included in the system, which allows one to automate selecting specialists into expert groups, and identifying their main functions, conditions of use, methods of interaction, graphical diagrams, as well as the advantages and disadvantages of the tools applied. A detailed description and analysis of component interactions provide opportunities for further coding of the program and designing the application interface. Detailed descriptions of the terms used to depict the program operation are given. Graphic diagrams make it possible to clearly demonstrate the use of components and the result of the work. The advantages and disadvantages of applying WSGI servers are also stated. The main types of production at machine-building enterprises are shown. Arguments are given that indicate the need to develop software that automates the process of selecting a candidate at machine-building enterprises. The paper objective is to develop an automated sys-tem for selecting specialists. The research methods are analysis, observation. The article contains developments and diagrams, the description of which will help to write code to continued operation of the program. A schematic diagram of the program operation is built, and the sequence of processes required to launch the application is described. The article is one of the stages of developing a web application, which confirms the possibility of creating such a product.

Simulation Modeling of the Process of Danger Zone Formation in Case of Fire at an Industrial Facility

Proactive prevention and fighting fire at industrial facilities, often located in urbanized clusters, should include the use of modern methods for modeling danger zones that appear during the spread of the harmful combustion products of various chemicals. Simulation modeling is a method that allows predicting the parameters of a danger zone, taking into account a number of technological, landscape, and natural-climatic factors that have a certain variability. The purpose of this research is to develop a mathematical simulation model of the formation process of a danger zone during an emergency at an industrial facility, including an explosion of a container with chemicals and fire, with the spread of an aerosol and smoke cloud near residential areas. The subject of this study was the development of a simulation model of a danger zone of combustion gases and its graphical interpretation as a starting point for timely decision making on evacuation by an official. The mathematical model of the process of danger zone formation during an explosion and fire at an industrial facility presented in this article is based on the creation of a GSL library from data on the mass of explosion and combustion products, verification using the Wald test, and the use of algorithms for calculating the starting and ending points of the danger zone for various factor values’ variables, constructing ellipses of the boundaries of the distribution of pollution spots. The developed model makes it possible to calculate the linear dimensions and area of the danger zone under optimistic and pessimistic scenarios, constructing a graphical diagram of the zones of toxic doses from the source of explosion and combustion. The results obtained from the modeling can serve as the basis for making quick decisions about evacuating residents from nearby areas.

Thermodynamic Bethe Ansatz and generalised hydrodynamics in the sine-Gordon model

We set up a hydrodynamic description of the non-equilibrium dynamics of sine-Gordon quantum field theory for generic coupling. It is built upon an explicit form of the Bethe Ansatz description of general thermodynamic states, with the structure of the resulting coupled integral equations encoded in terms of graphical diagrams. The resulting framework is applied to derive results for the Drude weights of charge and energy. Quantities associated with the charge universally have fractal dependence on the coupling, which is notably absent from those associated with energy, a feature explained by the different roles played by reflective scattering in transporting these quantities. We then present far-from-equilibrium results, including explicit time evolution starting from bipartite initial states and dynamical correlation functions. Our framework can be applied to explore numerous other aspects of non-equilibrium dynamics, which opens the way to a wide array of theoretical studies and potential novel experimental predictions.

Advancing the Measurement of Social Functioning in Schizophrenia: Applications of Egocentric Social Network Analysis.

People with schizophrenia face challenges with forming and maintaining social relationships, often resulting in poor social functioning. Commonly used measures of social functioning provide broad information relating to social relationships, but they do not adequately capture information regarding network structure and characteristics of network members. One method that can assess these more detailed aspects of social networks and provide a more comprehensive understanding of social functioning deficits is egocentric social network analysis (SNA). SNA is a scientific discipline that uses principles of network science and graph theory to analyze social relations quantitatively. Even though some types of SNA have been applied in prior schizophrenia studies, its application as a framework to measure social functioning has been extremely limited. Therefore, this article aims to formally introduce SNA and select quantitative SNA metrics, including measures of network composition, structure, homophily, and centrality, to schizophrenia researchers as novel ways of measuring components of social functioning. To demonstrate the application of SNA, we provide illustrative examples of the SNA metrics and graphical diagrams of social networks for two individuals with schizophrenia.

Bifurcation analysis and new waveforms to the fractional KFG equation

This study presents novel waveforms and bifurcation analysis for the fractional Klein–Fock–Gordon (KFG) structure, which is widely used in particle and condensed matter physics. To examine the bifurcation, chaos, and sensitivity of the model, we derive the dynamical system from the Galilean transformation. We present and explore a diverse range of waveforms, including periodic waves, quasi-periodic waves, bright and dark solitons, kink waves, and anti-kink waves. Graphic diagrams from simulations illustrate the diverse features and existence of these solutions. Nonlinear models can benefit from the potency, brevity, and effectiveness of integration procedures used in contemporary scientific and engineering contexts.

Mosaics for immersed surface-links

The concept of a knot mosaic was introduced by Lomonaco and Kauffman as a means to construct a quantum knot system. The mosaic number of a given knot K is defined as the minimum integer n that allows the representation of K on an n×n mosaic board. Building upon this, the first author and Nelson extended the knot mosaic system to encompass surface-links through the utilization of marked graph diagrams and established both lower and upper bounds for the mosaic number of the surface-links presented in Yoshikawa's table. In this paper, we establish a mosaic system for immersed surface-links by using singular marked graph diagrams. We also provide the definition and discussion on the mosaic number for immersed surface-links.

Impact of medical bloggers’ activities on the prevention of disease risk, public, population and individual health: the opinion of social media users

Due to the high information and communication importance and potential of the medical blogosphere in the formation of health literacy of the population, there is the increased need to study the opinions of Russian social media users on the impact of the content of medical blogs on personal and public health. Aim of the study was to find out the opinion of social media users on the extent to which the activities of bloggers specializing in public health and health care topics influence the prevention of major non-communicable and infectious diseases, public and personal health, within the changing boundaries of medical knowledge broadcasting (using sociological methods). Material and methods. The authors conducted a quantitative sociological survey of 178 respondents - users of social media: 55 (30.9 %) women and 123 (69.1 %) men about visiting blogs specializing in public health and healthcare. The collection of information was carried out by e-mailing a questionnaire developed by the authors, and analyzed the answers to questions from active blog users through a Google form in April – May 2023. Results. The study results of the impact of bloggers’ activities on personal and public health, including those related to the quality of medical information disseminated in social media, are described. Respondents believe that medical bloggers have a greater impact on public health than personal health. At the same time, according to the respondents, the spheres of influence in the field of public health do not coincide with the spheres of influence in the field of personal health. Thus, 74.7 % of respondents believe that medical bloggers have an impact on maintaining a healthy lifestyle of the population, prevention (61.8 % of all respondents think so) and treatment of infectious diseases (61.2 %). The requirements for the quality of information provided by bloggers are considered. Based on the analysis of Russian and foreign scientific literature, the authors developed a graphical diagram of the effect of dissemination through the blogosphere of information in the field of health care and disease prevention. Conclusions. The content published on medical blogs affects the health literacy of the population. That is why, medical blogs can be seen as a social determinant of health, because health blogs can be the key to the success of disease prevention and control efforts for public health maintaining. For organizing a communication intervention of medical personnel in social media to inform the population about methods for preventing the risk of developing major non-communicable and infectious diseases and increasing the level of health literacy of the population, medical blogs can and should be used to inform and educate patients as part of general or targeted multimodal educational practices or as a means of delivering electronic content. The risks of publishing inaccurate information in the blogosphere must be considered, whereby patients can easily become misinformed, which can have serious consequences for their health, and even increase their risk of mortality. To make the best use of the blogosphere, it is necessary to solve the problems of content accuracy and increase the level of professionalism of bloggers who write on medical topics. They need to be professionally trained to work for health, contributing to the prevention of the risk of developing major non-communicable and communicable diseases, improving the health of the population through education, and raising the level of health literacy. It makes sense to assess the success of the communicative intervention of doctors in social media and their management of the training of medical bloggers as a personnel determinant of public health, since it will depend on the personnel potential of the healthcare sector.

Associative computing in algorithm theory

The article discusses associative calculations in the theory of algorithms. Explains associative calculations using ordered substitutions and graphical diagrams. In the theory of algorithms, the need arises for mathematical refinement of the algorithm. One of them is the regular Markov algorithm. Associative calculus is also used in the regular Markov algorithm.

Big Data technologies in the process of forecasting electricity generation from solar photovoltaic power plants

This research aimed to develop methods for using Big Data technologies to forecast electricity generation from solar photovoltaic power plants, which is crucial for optimising energy production and increasing the efficiency of solar resource utilisation. The study employed a method of analysing the economic feasibility of using energy storage systems and a comparative analysis of electricity buying and selling prices on the market. An experiment involving software tools and algorithms for processing, analysing, and modelling large volumes of data was also conducted. As a result of the research, methodologies were developed that encompass data collection and analysis, information visualisation, selection and training of forecasting models based on available data, as well as monitoring and testing their effectiveness. Graphical diagrams were constructed to illustrate the stages of data processing and analysis, the process of forecasting electricity generation for different time periods, and the process of training a model based on data, monitoring, and testing the model. Additionally, a graph was created to show the typicality and range of values, and a graph to display the change in electricity prices throughout the day. Furthermore, technological tools for using Big Data were described, the cost of electricity was calculated, and the economic attractiveness of using energy storage systems was assessed. As a result of the research, a potential profit indicator from price arbitrage was established, as well as economic parameters for the feasibility of using energy storage management based on an analysis of differences in electricity purchase and sale prices. The results obtained can be useful for energy companies and organisations involved in the production of electricity from solar photovoltaic power plants, allowing them to optimise energy production and increase the efficiency of solar resource utilisation

DESIGN MODELS OF BIT-STREAM ONLINE-COMPUTERS FOR SENSOR COMPONENTS

Context. Currently, distributed real-time control systems need the creation of devices that perform online computing operations close to the sensor. The proposed online-computers of elementary mathematical functions can be used as components for the functional conversion of signals in the form of pulse streams received from measuring sensors with frequency output.
 Objective. The objective of the study is the development of mathematical, architectural and automata models for the design of bit-stream online-computers of elementary mathematical functions in order to create a unified approach to their design, due to which the accuracy of calculating functions can be increased, functional capabilities expanded, hardware costs reduced, and design efficiency increased.
 Method. Mathematical models of devices were developed using the method of forming increments of ascending step functions based on inverse functions with minimization of calculation error. Automata models of online-computers based on Moore’s Finite State Machine have been developed, the graph diagrams of which made it possible to ensure the clarity of function implementation algorithms, to increase visibility and invariance of implementation in formal languages of programming and hardware description.
 Results. The paper presents the results of research, development and practical approbation of design models of bit-stream onlinecomputers of power functions and root extraction function. A generalized architecture of an online-computer was proposed.
 Conclusions. The considered functional online-computers are effective from the point of view of calculation accuracy, simplicity of technical implementation, and universality of the architecture

An exploratory study of spontaneous representations of covariational reasoning in middle school students

Although student covariation reasoning has been explored in depth to improve understanding of the correspondence between variables, research has focused on studying existing reasoning about variables in Cartesian representations. The working method had a qualitative approach, with a descriptive exploratory scope, the spontaneous representations that the participants evidenced under the level of covariational reasoning of the variables present in three contextualized situations were explored, posed to a population of third-grade middle school students. The students argued with concrete and abstract drawings the general behavior of the variables. At low levels of reasoning they used pictorial representations, at higher levels they used graphical diagrams and tables. The exploratory study shows a relationship between the type of spontaneous representations and the student’s level of covariational reasoning, as well as the rigor of the description of the problem.

PROFICIENCY OF TEACHERS' PERCEPTIONS OF DISTANCE EDUCATION AND TECHNOLOGY USAGE COMPETENCIES: A META-ANALYSIS STUDY

In this meta-analysis study, it was aimed to examine the perceptions of distance education and the effect size of technology usage competencies by using meta-analysis method. In the meta-evaluation carried for this purpose, twenty-eight studies that met the criteria for inclusion in the research were reached. By combining these studies, 11.797 sample groups were studied. In order to reach a general decision in the research, a funnel plot graph was drawn before statistical calculations were made. Statistical calculations were performed in order to make a general impression decision about the publication bias in the funnel plot diagram. When the statistical analysis results and the diagram graph results were combined, it was determined that there was no publication bias in the studies included in the study. Then, a heterogeneity test was performed to determine the model type of the research. According to the results of the heterogeneity test, it was decided that this research should be interpreted according to the type of random effects model. For heterogeneity, publication type, school type, and branches were aimed as moderators. It was observed that the meta-analysis study had a small distribution of perceptions of distance education and technology usage competencies, that the variables of publication type, school type and distribution departments did not have a moderator unit in the calculations done on the moderator, but it was concluded that the effect sizes of the studies published as articles, the studies carried out in secondary education institutions and the studies on mathematics teachers had a relatively larger effect size than the others.

Исследование и разработка методов автоматического поиска признаков болезни Паркинсона и эссенциального тремора на базе AUC-диаграмм

Methods and optimization algorithms for automatic search for AUC-diagram-based features of Parkinson's disease and essential tremor were studied and developed. AUC diagrams are a new method for statistical analysis of biomedical signals, based on visualizing the parameters of wave train electrical activity in the brain and muscles. The effectiveness of this method has been demonstrated in solving problems of early and differential diagnosis of Parkinson's disease and essential tremor. The disadvantage of this method is the need to construct and analyze a large number of graphic diagrams. In this regard, automation of the analysis of AUC diagrams is an urgent task. The mathematical problem of finding features based on the analysis of AUC diagrams is reduced to an optimization problem in a multidimensional feature space. A distinctive feature of the space constructed using AUC diagrams is the presence of relatively large compact areas containing local maxima and minima. This property of the feature space facilitates the search for solutions to the optimization problem, but at the same time requires the selection of optimization algorithms and fitness functions that increase the likelihood of detecting global extrema. In this work, methods for automatically searching for global extrema in the multidimensional space of features of wave train electrical activity are investigated and developed.

Hydrochemical Characteristics and Control Factors of Shallow Groundwater in Anqing Section of the Yangtze River Basin

Shallow groundwater is the main source of water for living and industrial and agricultural production in Anqing City, which is an important basic guarantee to maintain the sustainable development of the social economy and regional ecological environment. In order to further study the water chemical characteristics and controlling factors of shallow groundwater in Anqing City, 196 groups of shallow groundwater samples were collected. A Piper diagram graph, Gibbs chart, ion ratio, and mathematical statistics were comprehensively used to study the water chemical characteristics and controlling factors of groundwater in Anqing City, and the contribution of different sources to the water chemical components of groundwater was quantitatively evaluated. The results showed that the shallow groundwater in Anqing City was weakly alkaline, with pH values ranging from 5.84 to 8.38, with an average value of 7.21. The TDS ranged from 47 to 1 620 mg·L-1, with an average of 324.21 mg·L-1. HCO3- and Ca2+ were the main anions, and the water chemical type was HCO3-Ca type. The chemical components of groundwater were affected by rock weathering leaching, cation alternating adsorption, mineral dissolution and precipitation, and human activities. Ca2+, Mg2+, and HCO3- were mainly derived from the weathering dissolution of carbonate and silicate; Na+, Cl-, and SO42- were affected by industrial activities and domestic sewage discharge; and K+ and NO3- were affected by agricultural activities. The APCS-MLR receptor model analysis further revealed that the chemical components of groundwater were mainly geological factors, industrial factors, agricultural factors, and unknown sources, and their contribution rates were 45.35%, 14.19%, 25.38%, and 15.08%, respectively. Geological factors were important sources of hydrochemical components of shallow groundwater, and human activities aggravated the evolution of groundwater hydrochemistry.

The Validity of the Native Non-sports Equation in Estimating the Maximum Aerobic Capacity of Adolescent Boys

Objectives: The maximum aerobic capacity (VO2max) is the most important indicator of physical fitness, which is closely related to the general health of the body. Considering the problems of laboratory measurement of VO2max, estimating VO2max by non-exercise equations will be one of the alternative solutions. This study aims to evaluate the validity of the native non-exercise equation in estimating VO2max of healthy adolescent boys. Methods: The variables of age, height, weight, and body mass index were measured in 248 healthy boys aged 15 to 18. The subjects' VO2max was measured and predicted by exercise test and non-exercise native equation respectively. To evaluate the validity of the native non-exercise equation, Pearson's correlation, paired t-test, and Bland-Altman's agreement were used. Results: There is a significant correlation between measured and predicted VO2max (R = 0.76, p<0.05). Also, no significant difference was observed between predicted and measured VO2max (43.10 ml/kg/min and 43.38 ml/kg/min respectively) (mean difference=0.28 ml/kg/min, P>0.05). Also, the Bland-Altman graphic diagram indicated agreement between the methods of measuring and estimating VO2max. Conclusion: In the present study, the native non-sports equation had a high validity in estimating VO2max of adolescent boys. It seems that the use of non-sports VO2max equations can be used as a simple, safe, and low-cost tool to evaluate the maximum aerobic capacity of students at a wide level.

Wind loads on an azimuthal photovoltaic platform. Experimental study

During the dimensioning stage of the embodiment design process of the azimuthal trackers for photovoltaic (PV) platforms a very important step is input load calculation. Wind load is the main load on these kinds of systems and a correct evaluation of wind load becomes significant for dimensioning. This paper presents results and conclusions from an experimental study on wind loads depending on wind velocity and functional positions of solar tracking platforms. The results are presented as graphic diagrams and can be useful for the improvement of actual standards on wind loads.

Distribution of Groundwater Hydrochemistry and Quality Assessment in Hutuo River Drinking Water Source Area of Shijiazhuang (North China Plain)

The Hutuo River Drinking Water Source Area is an important water source of Shijiazhuang (North China Plain). Knowing the characteristics of groundwater chemistry/quality is essential for the protection and management of water resources. However, there are few studies focused on the groundwater chemistry evolution over the drinking water area. In this study, total of 160 groundwater samples were collected in November 2021, and the spatial distribution of groundwater chemistry and related controlling factors were analyzed using hydrological and multivariate analysis. The entropy-weighted water quality index (EWQI) was introduced to assess the groundwater quality. The results show that the hydrogeochemical types of groundwater are Ca-HCO3 (78.1%), mixed Ca-Mg-Cl (20%), and Ca-Cl (1.9%) in the area. Graphical and binary diagrams indicate that groundwater hydrochemistry is mainly controlled by water–rock interaction (i.e., rock weathering, mineral dissolution, and ion exchange). Five principal components separated from the principal component analysis represent the rock–water interaction and agricultural return, redox environment, geogenic sources, the utilization of agricultural fertilizer, the weathering of aluminum silicates, and dissolution of carbonates, respectively. More than 70% of the samples are not recommended for irrigation due to the presence of high salt content in groundwater. EWQI assessment demonstrates that the quality of the groundwater is good. The outcomes of this study are significant for understanding the geochemical status of the groundwater in the Hutuo River Drinking Water Source Area, and helping policymakers to protect and manage the groundwater.