Graphical Profiles Research Articles

Assessment of the motivational and value component of future teachers’ readiness for delivering moral education based on building an individual profile

Introduction. The article addresses the problems of initial teacher education. The purpose of the study is to identify and assess the formation of the motivational and value component within the readiness of future teachers for professional activities based on building an individual profile. Materials and Methods. The theoretical and methodological basis of the research is the complex of approaches, while the general scientific basis is the systematic and axiological approaches, the theoretical and methodological strategy includes the nuclear and contextual approaches, and the practice-oriented tactics employs the learner-centered approach. The research was conducted by means of reviewing and analyzing scholarly literature on the research problem, regulatory sources, and summarizing the authors’ practical experience. For a comprehensive assessment of the formation of the motivational and value component within the readiness of future teachers for professional activities and making an individual trajectory of its formation, the authors have developed a software module called “A system for evaluating the motivational component of teachers' readiness to implement professional practices in the educational process at the university”. Results. The article describes the motivational and value component within the readiness of future teachers for professional activities. The substantive content of this component is: 1) stable motivation to carry out professional activities; 2) accepting the values of the teaching profession; 3) self-motivation; 4) integration of personal and professional values and meanings. A theoretically based software module for assessing the level of the motivational and value component within the readiness of future vocational training teachers for professional activities allowed the authors to build individual graphical profiles for students, on the basis of which learner-centered remedial work was carried out with students individually. According to the results of the application of the developed software module, it was found that the proportion of students with a high level of component formation at the control stage of the experiment reached 80.65 % (in EG-4 – 69.23 %), which confirms the effectiveness of this tool in the formation of the motivational and value component of future teachers’ readiness for professional activities. Conclusions. In conclusion, the specifics of the formation of the motivational and value component within the future teachers’ readiness for professional activities based on building an individual profile are summarized.

Graphic Collections and Resources

Abstract The first special section of International Public History to focus on Graphic History as Pedagogy includes the Graphic Collections profiles the following collections: Yoshihiro Yonezawa Memorial Library of Manga and Subcultures; Latin American Comics Archive (LACA) – Carnegie Mellon University; Comic Archive at Goethe-University Frankfurt, Institute of Children’s and Young Adult Literature Research; The Center for the Study of Graphic Literature at the University of Hamburg; Graphic Medicine Collection – Countway Library Graphic Medicine Collection, Harvard Medical Library, Harvard University; and the Nextcomic-Festival. The collections profiled represent a fraction of comic collections and festivals worldwide. What is included is not definitive but rather a small sampling to hopefully spark larger dialogues and awareness of graphic history in all its spheres and discussions.

Unsteady MHD Rotating Jeffreys Fluid Flow Embedded in a Porous Medium Over an Infinite Perpendicular Plate

The analysis of the rotation outcomes for the viscous, incompressible, electrically conducting Jeffreys fluid in an infinite vertical plate through the revolution impacts has been explored. This is owing to the exponential exciting perpendicular absorbent plate embedded in the permeable medium by allowing for ramped surface temperature into the endurances of thermal radiation. The essential governing sets of equations for the flow are translated into non-dimensional form with insert appropriate parameters as well as variables; therefore the resultant equations are computationally resolved by the well-organizing Laplace transform methodology. The influences of numerous significant considerable parameters for the modelling on the velocity, temperature and concentration of the liquid, and the skin friction coefficient, Nusselt number and Sherwood number for together thermal conditions have been deliberated and exploring strongly by producing of graphical profiles and tabular format. This is determined that, with increasing quantities of the rotation, thermal radiation parameters, the fluid temperature as well as velocity enhances. Similarly, this is notified that, a mounting in porous parameter reasons to escalate fluid velocity in addition to concentration reversal results are noticed by the chemical reaction parameter.

User profile visualisation for privacy awareness on Geo-Social Networks

ABSTRACT Geo-Social Networks (GeoSNs) enable user interaction by sharing personal location and contextual information, leading to the accumulation of large databases of users’ physical presence and experiences in geographic places. These data form the basis of building (geo)graphic profiles for users on GeoSNs. Users’ awareness of the data they share is limited. Without active reminders of the contents of their geoprofiles, users may fail to recognise possible privacy risks associated with their location sharing behaviour. In this work, we argue that users’ awareness on GeoSNs should consider the spatial, temporal, and social dimensions of the data, as well as their combinations. We propose a basic strategy for representing and visualizing geoprofiles that aggregates the interaction of users in space over time to summarise the degree of relatedness of users to place and to other users. We conducted a user study with 26 participants to assess the perception of their geoprofiles on a typical GeoSN against the proposed approach. Results demonstrate the potential value of the proposal for improving user awareness of their data and privacy implications, compared to basic search and retrieval functions offered by typical GeoSNs. This work highlights the need for considering and improving user awareness on these platforms.

Cross-cultural adaptation of the awareness and beliefs about cancer measure for Hispanics/Latinos living in the United States.

The purpose of this study is to culturally adapt the Awareness and Beliefs about Cancer (ABC) measure for use in the Hispanic/Latino population living in the United States (US). In accordance with Patient Reported Outcomes (PRO) Consortium guidelines for cross-cultural adaptation of measures for content and linguistic validity, we conducted: two forward-translations, reconciliation, two back-translations, revision and harmonization, six cognitive interviews, revision, external expert review, and finalization of the version. We used a mixed methods approach, conducting cognitive interviews with Hispanic/Latino community members while also convening an expert panel of six clinicians, health professionals, and community representatives and including the in the entire process. After cross-culturally adapting the ABC measure, we assessed the psychometric properties of the instrument using item response theory analysis. Item parameters, discrimination and category thresholds, and standard errors were calculated. For each of the adapted subdomains, we used item information curves to report the graphical profile of item effectiveness. Twenty-two Hispanic/Latino community members were enrolled in cognitive interviews, and Hispanics/Latinos fluent in Spanish completed the measure to assess its psychometric properties. Cognitive interviews revealed opportunities to improve items. Key changes from the original measure include the inclusion of gender inclusive language and an inquiry into e-cigarette use on items related to smoking habits. Psychometric property analyses revealed that the anticipated delay in seeking medical help, general cancer beliefs, and cancer screening beliefs and behaviors subdomains had some slope parameters that were < 1; this implies that those items were not able to adequately discriminate the latent trait and had poor performance. The adapted ABC measure for US Hispanics/Latinos meets content and linguistic validity standards, with construct validity confirmed for cancer symptom recognition and barriers to symptomatic presentation subdomains, but revisions are necessary for others, highlighting the need for ongoing refinement to ensure the cultural appropriateness of instruments.

Darcy–Forchheimer modelling on unsteady MHD convection flow of a hybrid nanofluids (CNTs–Al2O3/H2O) over a stretching sheet

AbstractThe present article provides a detailed analysis of the Darcy–Forchheimer flow of hybrid nanofluid past a porous stretching sheet. The carbon nanotubes and Al2O3 (aluminium oxide) are used to synthesize hybrid nanofluid. The nanoparticles of carbon nanotubes have attained fame to enhance the thermo‐physical features of fluid particles. The inclusion of nanoparticles of multi‐wall carbon nanotube (MWCNTs)/single‐wall carbon nanotubes (SWCNTs) and alumina in water past a stretching sheet by the magnetic field, thermal radiation, heat dissipation as well as slip conditions is computationally explored. The hybrid nanofluid flow experiences the unsteady non‐Darcy relation across two‐dimensional stretchable surface. At first, the governing partial differential equations of the projected modelling are in non‐dimensional and to attain the ordinary differential equations via the appropriate dimensionless similarity transformations and are then computationally explored by bvp4c MATLAB solver. The pertinent parameters of the associated model are demonstrated by the graphical profiles and tables. Furthermore, magnetic parameter, porosity parameter and inertia coefficient parameter tend to retards the flow pattern of hybrid nanofluid. The SWCNTs‐alumina/water experiences more resistive force as compared to the MWCNTs‐alumina/water. Higher values of Forchheimer parameter retards velocity profile as MWCNTs‐alumina/water flow overshoots SWCNTs‐/alumina water. The enhancement of volume fraction of MWCNTs and SWCNTs enhanced the rate of heat transfer throughout the fluid region.

GEOCHEMISTRY OF OILS AND GASES FROM THE VERKHNECHONSKOYE FIELD, EAST SIBERIAN BASIN: APPLICATION OF ANALYTICAL RESULTS TO RESERVOIR CHARACTERISATION

A geochemical study was carried out on oil and gas samples from the Verkhnechonskoye field, located on the Nepa‐Botuoba Anteclise in the central‐southern part of the Siberian Platform. The goal of the study was to distinguish between fluids derived from the V10‐13 and B12 reservoir units in the Vendian (Neoproterozoic) Katanga and Nepa Formations and to identify the producing reservoir using geochemical data. The results of analyses of 12 oil and 13 associated gas samples from the two reservoirs showed that all the fluids have similar geochemical properties including: low Pr/Ph ratios (0.78‐1.00); a predominance of C29 over C27 and C28 steranes; a predominance of odd‐numbered C21‐C25 n‐alkylbenzenes over their even‐numbered homologues; the presence of 12‐ and 13‐methylalkanes; and a high relative abundance of tricyclic terpanes (cheilantanes). All these properties are consistent with those of the properties of petroleum from other fields on the Siberian Platform. The molecular and stable carbon isotope compositions of the oils and gases suggest that they were derived from marine organic matter with a high algal input deposited under reducing conditions. To date, specific source rocks which generated the oil and gas present at fields on the Nepa‐Botuaoba Anteclise have not conclusively been identified, but potential candidates include the Upper Riphean Iremeken and Ayan Formations and more probably the Vendian Zherbinskaya, Seralakh, Vanavara and Nepa Formations.The second part of the study demonstrates the application to reservoir geochemistry of C3‐ and C4‐ alkylbenzene compounds together with more conventional biomarkers. Key parameters were selected using statistical processing and displayed in graphic profiles. These profiles allowed the oil and gas samples to be classified according to the reservoir from which they were derived based on their geochemical properties. Parameters based on C3‐ and C4‐ alkylbenzene compounds were most effective in discriminating between oils from the two reservoirs. In addition, a new parameter is proposed based on the contents of 1‐methyl‐3‐isopropylbenzene, 1‐methyl‐2‐isopropylbenzene and 1‐methyl‐2‐propylbenzene; this parameter correlates closely with the pristane/phytane ratio and can be used as an additional indicator of the level of oxicity in the source rock depositional environment.

Soret and Dofour effects on unsteady MHD convection flow over an infinite vertical porous plate

In this paper, the computational examination is carried out on the heat generation, Soret and Dufour’s influence on the unsteady MHD convection flow of an incompressible viscous fluid with chemical reaction. It is due to the exponentially accelerated vertical porous plate embedded in a permeable medium with ramped wall temperature together with surface concentration and also with thermal radiation impacts. The basic governing set of the equations of the fluid dynamics to the flow is converted into nondimensional form by inserting suitable nondimensional parameters and variables. In addition, the resultant equations are solved computationally with the efficient Crank–Nicolsons implicit finite difference methodology. The influences for several imperative substantial parameters for the model on the velocity, temperature and concentration for the fluids, the skin friction coefficient, Nusselt and Sherwood number for together thermal situations have been explored with the help of graphical profiles and tabular forms. It is found that, the increasing quantities of the Dufour, temperature generation and thermal radiation parameters, the fluid temperature as well as velocity enhances. Similarly, it is noted that an escalating Soret parameter causes the fluid’s velocity and concentration whereas the chemical reaction parameter notifies reversal outputs.

Exploring expected values of topological indices of random cyclodecane chains for chemical insights

Chemical graph theory has made a significant contribution to understand the chemical compound properties in the modern era of chemical science. At present, calculation of the topological indices is one of most important area of research in the field of chemical graph theory. Cyclodecane is a cyclic hydrocarbon with the chemical formula C10H20\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$C_{10}H_{20}$$\\end{document}. It consists of a ring of ten carbon atoms bonded together in a cyclical structure. Cyclodecane chains can be part of larger molecules or polymers, where multiple cyclodecane rings are connected together. These molecules can have various applications in chemistry, materials science, and pharmaceuticals. This article aims to determine expected values of some connectivity based topological indices of random cyclodecane chains, containing saturated hydrocarbons with at least two rings. It also compares these descriptors using explicit formulae, numerical tables and present graphical profiles of these comparisons.

Mathematical Modelling for Rice Blast Re-Infection

Rice is the thirdly most valued cereal crops in Kenya after maize and wheat. The demand for rice in Kenya has increased greatly over the last few years while production has still remained low. This is because rice production is affected by serious constraints especially rice diseases of which the most threatening is rice blast. Rice blast infection and re-infection can occur in different stages of rice growth and therefore need to be controlled. This study aims to developed a mathematical model for rice blast re-infection. The model employs a system of nonlinear ordinary differential equations which is analysed in details for its stability properties. Basic reproduction number &amp;lt;i&amp;gt;R&amp;lt;sub&amp;gt;o&amp;lt;/sub&amp;gt;&amp;lt;/i&amp;gt; for rice blast re-infection was found to be less than one. Numerical simulation of the model is done using Mathematica, and graphical profile of the main variables are depicted. We conclude that rice blast re-infection reduces rice yield and necessary remedy are needed.

Положение дел на кафедрах геометрического профиля

The article recalls the essence of academic subjects: descriptive geometry, drawing, engineering graphics, computer graphics and what each of these subjects is intended for. It is said about the compulsory study of geometry by students, especially those students who study in technical fields of study, about the role of descriptive geometry in the learning process and later in practical activities. Therefore, the existence of departments of geometric and graphic profile for each technical university is unconditionally necessary. It is explained that the modern disdainful attitude of the university leadership towards the departments of the geometric direction should not lead to the disappearance of these departments, since an engineer without knowledge of geometry is a fundamental underachiever, and at best an amateur. The reasons that led to the insufficiency of highly qualified specialists in the geometric and graphic profile in universities are given and, in this regard, some steps are proposed to improve the quality of engineering education. The situation of the educational process in the supposedly leading technical universities of the country, which have already got rid of the departments of the geometric direction or are on the road to this "great" achievement, is given as a negative example, as a result of which various information has been received for quite a long time about the not very favorable situation in these universities. Some measures are proposed to improve geometric education in Russian universities.

Chemical reaction, slip effects and non-linear thermal radiation on unsteady MHD Jeffreys nanofluid flow over a stretching sheet

“The boundary layer flow past the stretching surface by the velocity slip and the temperature jumping boundary situations is the imperative type of the flow and temperature transports happening in a number of engineering and industrial applications. Keeping in this mind, the magnetohydrodynamic (MHD) flow and temperature transport of the Jeffreys nanoliquid past a stretching sheet by the non-uniform temperature source and/or sink is explored in the current investigation. The governing scheme of the partial differential equations represents the prescribed problem and is condensed into the non-linear ordinary differential equations with the help of similarity transformations. The revised non-dimensional equations are solved computationally making use of the Runge-Kutta-Fehlberg 45 order method and the shooting method. The results are comparing by the published work for some limiting cases and they are examined to the outstanding agreements. The impacts of all flow significant parameters are traced in terms of the tables and graphical profiles. This is established that, both initial and second order velocity slip parameters trim downs the thickness of momentum boundary layers and therefore decreases the velocity as a results of these one might found the increases in the thermal boundary layer.” The boundary layer thickness and the fluid velocity increases with increase in Deborah number.

Effects of an Inclined Cente red Conductor on MHD Natural and Forced Convection Within a Heated Wavy Chamber

The study of the effect of hall and ion slip on an inclined conductor on MHD natural and forced convection in a heated wavy chamber with a constant transversal magnetic field applied. The governing momentum and energy equation were solved by applying finite central scheme approximation and the resulting partial difference equations were solved by MATLAB software. The study showed that an increase heat absorption coefficient lowers the surface heat transfer thus lowering flow rate. An increase in Rayleigh number increases the flow rate while an increase in the angle of inclination of the conductor increases the buoyancy force component thereby increasing the flow rate. The results further showed that flow rate became higher at an inclination angle of 90º. In addition, the results also showed that an increase in Hartmann increases the flow rate. The Hartmann number, Rayleigh number and Absorption coefficient are analytically discussed and represented in tables and graphical profiles with respect to flow velocity and temperature profile due to engineering demand. This current study a direct application in the development of MHD propelled vessels in the marine and space-craft department.

Neuronorma Colombia: contributions and methodological characteristics

IntroductionAvailability of adequate normative data is essential when performing neuropsychological evaluation; good methodological quality of the studies that propose these data ensures that their conclusions are reliable and valid. We present the methodological characteristics of the Neuronorma Colombia Project in order to analyse its contributions and limitations. MethodWe present the characteristics of the normative sample, inclusion and exclusion criteria, statistical analysis, the procedure for obtaining normative data, and the instruments used. ResultsWe present graphical profiles of patient performance, based on the Neuronorma Work Unit, to illustrate the interpretation of the results obtained when evaluating patients with the Neuronorma Colombia Battery. Discussion and conclusionsOur study presents several methodological advantages, such as its multicentre, co-normalised design and the availability of the Neuronorma Work Unit, which allows the creation of graphical profiles of patient performance, a fundamental tool for diagnosis and research. We present the findings of subsequent research based on the proposed normative data, which demonstrate the value of the battery. The contribution of this study is discussed in the context of its immediate background.

Heat and Mass Transfer On MHD Flow Problems with Hall and Ion Slip Effects On Exponentially Accelerated Plate

We in this paper intended to investigate heat and mass transfer for MHD free convective flow for exponentially accelerated plate. The effects of Ion slip and Hall are studied considering variable temperatures, concentration, and angle of inclination. We applied finite element analysis for solving governing equations. Flow velocity, concentration and temperature’s graphical profiles are examined for non-dimensional parameters. Flow reversal is prevented due to magnetic field, is observed. Velocity experiences retarding effect due to angle of inclination, this helps in acknowledging drag force in seepage flow.

Artificial neural network modeling of mixed convection viscoelastic hybrid nanofluid across a circular cylinder with radiation effect: Case study

As a result of its use in the manufacturing and construction industries, research on the flow of nanofluid is rather well-known among academics and professionals in related fields. It is helpful for electrical equipment to utilize it for cooling reasons, which has shown promising results in terms of reducing energy use. As a result, the primary objective of this research is to inspect the impacts that radiation has on the mixed convection of Walters'-B hybridity nanofluid flow of stagnant point in a horizontal circular cylinder under the circumstances of a constant heat flux. It is considered a conventional fluid despite the presence of copper (Cu) and alumina (Al2O3) nanoparticles in the water (H2O) hybridity nanofluid. To make the solution to the resulting controlling system of equations more straightforward, the numerical approach of a neural network with a back-propagation algorithm (NN-BPA) is used. It follows by clarifying how various physical characteristics, such as blended convection, thermal radiation, and stagnant movement, affect temperature, skin friction, thermal transfer, velocity, and graphical profiles of those variables. The LMNN-BPA has the quickest processing algorithm and performs well in general, corresponding to the thorough analysis. Additionally, the mixed convective and viscoelastic properties exhibit both rising and dropping developments regarding skin friction and heat transmission.

ECOLOGICAL FUNCTIONALITY OF FOREST AND STREAM CORRIDORS IN AN AREA OF THE PLAINS PIEDMONT IN CASANARE

Between 2010 and 2020 a study was conducted on the functionality of the ecological corridors within the San José de Matadepantano farm, a property of 811 ha located in plains piedmont, which alternates poorly drained savannas, swamps, and forests, with land uses for agriculture, livestock, and the infrastructure of a rural university campus. To evaluate the functionality of the forest corridors, length, amplitude, coverage area, and continuity metrics within the landscape were estimated using multiannual LANDSAT images; additionally, field visits were made to record possible forest gaps that could affect the flow of fauna through the corridors. In order to determine the functionality of the stream corridors, four sampling points were chosen along caños Tiestal and Güio, where physiographic and bathymetric profiles were modeled using the SURFER 15 software, in addition, spatial heterogeneity was calculated using the Shannon-Wiener index, physiognomy and floristic composition of the streamside vegetation was represented in scale graphic profiles, the percent distribution of aquatic habitats was determined and species diversity of fish communities was calculated. Findings obtained during the last decade allow us to conclude that the ecological corridors maintain their functionality with an active biotic flow in both forest and stream corridors. However, critical points were detected where the forests could lose their connectivity, which would affect the sustainability and transit of regional biodiversity.

Tidal Angular Momentum in Close Binary Systems in presence of Wind Driven Non-conservative Mass Transfer with Uniform Mass Accretion Rate

A very well-known property of close binary stars is that they usually rotate slowly than a similar type single star. Massive stars in close binary systems are supposed to experience an exchange of mass and angular momentum via mass transfer and tidal interaction, and thus the evolution of binary stars becomes more complex than that of individual stars. In recent times, it has become clear that a large number of massive stars interact with binary companions before they die. The observation also reveals that in close pairs the rotation tends to be synchronized with the orbital motion and the companions are naturally tempted to invoke tidal friction. We here introduce the effect of tidal angular momentum in the model of wind driven non-conservative mass transfer taking mass accretion rate as uniform with respect to time. To model the angular momentum evolution of a low mass main sequence companion star can be a challenging task. So, to make the present study more interesting, we have considered initial masses of the donor and gainer stars at the proximity of bottom-line main sequence stars and they are taken with lower angular momentum. We have produced a graphical profile of the rate of change of tidal angular momentum and the variation of tidal angular momentum with respect to time under the present consideration.

Exploratory data analysis of physicochemical parameters of natural antimicrobial and anticancer peptides: Unraveling the patterns and trends for the rational design of novel peptides.

Peptide-based research has attained new avenues in the antibiotics and cancer drug resistance era. The basis of peptide design research lies in playing with or altering physicochemical parameters. Here in this work, we have done exploratory data analysis (EDA) of physicochemical parameters of antimicrobial peptides (AMPs) and anticancer peptides (ACPs), two promising therapeutics for microbial and cancer drug resistance to deduce patterns and trends. Briefly, we have captured the natural AMPs and ACPs data from the APD3 database. After cleaning the data manually and by CD-HIT web server, further data analysis has been done using Python-based packages, modlAMP and Pandas. We have extracted the descriptive statistics of 10 physicochemical parameters of AMPs and ACPs to build a comprehensive dataset containing all major parameters. The global analysis of datasets has been done using modlAMP to find the initial patterns in global data. The subsets of AMPs and ACPs were curated based on the length of the peptides and were analyzed by Pandas package to deduce the graphical profile of AMPs and ACPs. EDA of AMPs and ACPs shows selectivity in the length and amino acid compositions. The distribution of physicochemical parameters in defined quartile ranges was observed in the descriptive statistical and graphical analysis. The preferred length range of AMPs and ACPs was found to be 21-30 amino acids, whereas few outliers in each parameter were evident after EDA analysis. The derived patterns from natural AMPs and ACPs can be used for the rational design of novel peptides. The statistical and graphical data distribution findings will help in combining the different parameters for potent design of novel AMPs and ACPs.

Deconstructing the Gerber statistic

The Gerber Statistic is a recently proposed co-movement measure. The measure is a conditional statistic and due to conditioning bias, will naturally differ from full-sample measures. This contribution makes use of an intuitive two-asset simulation framework to better elucidate the statistical behaviour of the Gerber Statistic, across its three proposed forms. Using graphical correlation profiles, we explore the measure's behaviour across return conditioning threshold, sample size and market distribution, detailing its mechanisms of performance but also demonstrating several caveats around its understanding and use. We conclude that while interesting, the Gerber Statistic is best viewed as an imperfect conditional dependence metric.