Graphical Description Research Articles

Towards sparse matrix operations: graph database approach for power grid computation

The construction of new power systems presents higher requirements for the Power Internet of Things (PIoT) technology. The “source-grid-load-storage” architecture of a new power system requires PIoT to have a stronger multi- source heterogeneous data fusion ability. Native graph databases have great advantages in dealing with multi-source heterogeneous data, which make them suitable for an increasing number of analytical computing tasks. However, only few existing graph database products have native support for matrix operation-related interfaces or functions, resulting in low efficiency when handling matrix calculations that are commonly encountered in power grids. In this paper, the matrix computation process is expressed by a strategy called graph description, which relies on the natural connection between the matrix and structure of the graph. Based on that, we implement matrix operations on graph database, including matrix multiplication, matrix decomposition, etc. Specifically, only the nodes relevant to the computation and their neighbors are concerned in the process, which prunes the influence of zero elements in the matrix and avoids useless iterations compared to the conventional matrix computation. Based on the graph description, a series of power grid computations can be implemented on graph database, which reduces redundant data import and export operations while leveraging the parallel computing capability of graph database. It promotes the efficiency of PIoT when handling multi-source heterogeneous data. An comprehensive experimental study over two different scale power system datasets compares the proposed method with Python and MATLAB baselines. The results reveal the superior performance of our proposed method in both power flow and N-1 contingency computations.

The effect of graph complexity and planning on graph writing performance and descriptive strategies

AbstractThe impact of task complexity on integrated writing performance is under‐researched. This study purports to investigate the effect of graph complexity and planning time on graph writing performance as well as graph description strategies. Ninety‐six EFL learners of English were assigned into three groups to examine the effect of three planning conditions, that is, pretask planning, within‐task planning, and no planning. Moreover, graph complexity, operationalized as the number of visual chunks in a graph, was the within‐subject variable. In general, there were some benefits of graph complexity for syntactic complexity and some planning benefits for fluency, accuracy, and lexical diversity. However, graph complexity had a negative impact on accuracy, and measures of lexical sophistication were not affected in any condition. On the graph description side, pretask planning and graph complexity had a positive impact on graph description strategies. The theoretical and pedagogical implications of these findings are discussed.

Analysis of the HES state of the Kutuzovsky reservoir on the Crimean Peninsula

The paper presents the analysis of full-scale observations of the HES state of the Kutuzovsky reservoir, which to date is the last one built in the Crimea. The paper gives graphical description of objects of water body inspection, results of data on deformations (sediments and horizontal displacements of measuring works) occurring in the body of the dam. Documentation on safety assessment of hydraulic structures of the facility is provided. Probable harm of three scenarios with the formation of a hole in the body of a dam, in which hydrodynamic accident takes place, was calculated. Recommendations for further HES operation are given.

Emotional descriptions increase accidental harm punishment and its cortico-limbic signatures during moral judgment in autism

Individuals with autism spectrum disorder (ASD) present difficulties in integrating mental state information in complex moral tasks. Yet, ASD research has not examined whether this process is influenced by emotions, let alone while capturing its neural bases. We investigated how language-induced emotions modulate intent-based moral judgment in ASD. In a fMRI task, 30 adults with ASD and 27 neurotypical controls read vignettes whose protagonists commit harm either accidentally or intentionally, and then decided how much punishment the protagonist deserved. Emotional content was manipulated across scenarios through the use of graphic language (designed to trigger arousing negative responses) vs. plain (just-the-facts, emotionless) language. Off-line functional connectivity correlates of task performance were also analyzed. In ASD, emotional (graphic) descriptions amplified punishment ratings of accidental harms, associated with increased activity in fronto-temporo-limbic, precentral, and postcentral/supramarginal regions (critical for emotional and empathic processes), and reduced connectivity among the orbitofrontal cortex and the angular gyrus (involved in mentalizing). Language manipulation did not influence intentional harm processing in ASD. In conclusion, in arousing and ambiguous social situations that lack intentionality clues (i.e. graphic accidental harm scenarios), individuals with ASD would misuse their emotional responses as the main source of information to guide their moral decisions. Conversely, in face of explicit harmful intentions, they would be able to compensate their socioemotional alterations and assign punishment through non-emotional pathways. Despite limitations, such as the small sample size and low ecological validity of the task, results of the present study proved reliable and have relevant theoretical and translational implications.

A multiple criteria approach for building a pandemic impact assessment composite indicator: The case of COVID-19 in Portugal

The COVID-19 pandemic has caused major damage and disruption to social, economic, and health systems (among others). In addition, it has posed unprecedented challenges to public health and policy/decision-makers who have been responsible for designing and implementing measures to mitigate its strong negative impact. The Portuguese health authorities have used decision analysis techniques to assess the impact of the pandemic and implemented measures for counties, regions, or across the entire country. These decision tools have been subject to some criticism and many stakeholders requested novel approaches. In particular, those which considered the dynamic changes in the pandemic’s behaviour due to new virus variants and vaccines. A multidisciplinary team formed by researchers from the COVID-19 Committee of Instituto Superior Técnico at the University of Lisbon (CCIST analyst team) and physicians from the Crisis Office of the Portuguese Medical Association (GCOM expert team) collaborated to create a new tool to help politicians and decision-makers to fight the pandemic. This paper presents the main steps that led to the building of a pandemic impact assessment composite indicator applied to the specific case of COVID-19 in Portugal. A multiple criteria approach based on an additive multi-attribute value theory aggregation model was used to build the pandemic assessment composite indicator. The parameters of the additive model were devised based on an interactive socio-technical and co-constructive process between the CCIST and GCOM team members. The deck of cards method was the adopted technical tool to assist in the assessment the value functions as well as in the assessment of the criteria weights. The final tool was presented at a press conference and had a powerful impact on the Portuguese media and on the main health decision-making stakeholders in the country. In this paper, a completed mathematical and graphical description of this tool is presented.

Nomograms in the History and Education of Machine Mechanics

Computing formulae and solving equations are essential elements of scientific analysis. While today digital tools are almost always applied, analog computing is a rich part of the larger history of science and technology. Graphical methods are an integral element of computing history and still find some use today. This paper presents the history of nomograms, a historically-relevant tool for solving mathematical problems in various branches of science and engineering; in particular, we consider their role in mechanical engineering, especially for education, and discuss their mathematical properties. Each nomogram is a graphical description of a specific mathematical equation, designed such that the solution can be found through a simple geometric construction that can be performed with a straightedge. By design, using nomograms requires little skills and can be done even in adverse environments; a solution of sufficient accuracy for most purposes can then be found in a very short time. Another important advantage of nomograms is that they offer clear insight on the relationships between the variables, an insight which can be lost by looking at a complex equation. First introduced in the late $$19^{\textrm{th}}$$ century, nomograms were used by engineers and scientists due to their speed with respect to manual calculations, before being superseded by computers. While now mostly obsolete in practice, nomograms can still prove useful in workshops and teaching classes: we thus also discuss their educational applications and present a few original examples.

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Throughout the current research 20 rare plant species of the RA mountain meadow zone has been studied and the botanical, topographical, cartographical and graphical descriptions have been compiled based on the existing spatial database. At the first research phase, three rare plants growing in the regions of Kotayk and Gegharkunik were mapped in the ArcGIS environment: Inula acaulis Schott & Kotschy ex Boiss., Acanthus dioscoridis and Draba araratica Rupr. For mapping, first their distribution per communities, settlements, operational significance and soil type was studied and identified, then digital mapping and analysis were performed in the GIS (Geographic Information Systems) environment. Based on the results, it was recommended to take appropriate measures for their preservation. Further changes in the ecological condition of rare plants growing in the selected regions were studied, maps of the given areas were drawn up in the GIS environment, and analysis of plant location, growth density, distance from the settlement, functional significance of the land, threats of extinction as a rare plant species, and conservation measures was performed. The received digital maps and analysis of mapping results justify the need for the development of additional measures (legal, economic, environmental). In order to map the mentioned plant species in ArcGIS environment, sequence of actions has been developed based on which it is possible to update, adjust and complete the database of rare plant species in the mountain meadow zone of Armenia and enrich the global biodiversity repository through the GBIF system.

КОНВЕРСІЯ БОРГУ НА КЛІМАТИЧНІ ЦІЛІ ЯК ІНСТРУМЕНТ СТАЛОГО ПІСЛЯВОЄННОГО ВІДНОВЛЕННЯ УКРАЇНИ

The article delves into the pressing issue of Ukraine's escalating debt burden amidst the ongoing full-scale russian invasion. The author analyzes the impact of Ukraine's growing public debt on its ability to adhere to the European Green Deal's provisions as it progresses towards EU membership The purpose of the article is to substantiate the feasibility of using a debt conversion mechanism as a tool to address Ukraine's burgeoning external obligations and foster a sustainable post-war recovery. Throughout the study, the author employed a combination of general scientific and specific methods. In particular, the methods of induction and scientific abstraction allowed to outline the impact of Ukraine's growing external debt on its ability to implement sustainable development initiatives. The methods of analysis and generalization were used to determine the current state and prospects of Ukraine in the context of climate change adaptation. Correlation-regression analysis revealed a relationship between the indicators of the external debt volume and the level of direct infrastructure damage in Ukraine. The method of graphical description was used to visualize the study's findings. The author contends that Ukraine's debt burden will continue to grow, and the country's ability to internally refinance its debt will diminish due to the ongoing war and its devastating consequences for infrastructure. Simultaneously, the imperative of prioritizing post-war reconstruction based on sustainable development, under EU legislation requirements, particularly the European Green Deal, is emphasized. Based on the findings of the Notre Dame Global Adaptation Index, positive trends in Ukraine's ability to implement climate change adaptation measures have been identified. Furthermore, the prospects for continued EU support in Ukraine's green post-war recovery process are highlighted. The author advocates for the feasibility of employing a debt conversion mechanism for Ukraine through its exchange for climate-oriented goals.

Improving the methodology for assessing the level of environmental safety of urban areas as the basis of their life cycle

The article presents a graphical description of the relative environmental, economic and social indicators in the form of planar diagrams reflecting the state of the industrial and economic functional zones under study. Previously, we have described modern changes in the infrastructure of the urbanized areas, and also justified the necessity of supplementing economic and social indicators with environmental ones. On the basis of the conducted analysis, we have compared each of the indicators of the state of the environment of the urbanized areas with allowable values. In turn, the obtained values of relative indicators are graphically presented in the form of planar diagrams that reflect the most significant characteristics (environmental, economic and social) of the objects under study, on the scales of which the values are equal to 1 characterize the negative value of the corresponding characteristic, and the values are close to the reference point - the most favourable. In further research we plan to continue improving the methodology for assessing the level of environmental safety of the urbanized areas with the aim of its practical testing and implementation. The scientific novelty of the study consists in combining the obtained values of environmental, economic and social characteristics into a comprehensive (integral) assessment of the urbanized territories environmental safety level that would serve as the basis for subsequent selection of environmentally effective and cost-efficient organizational, technical and special environmental engineering measures.

ОРГАНИЗАЦИЯ АВТОМАТИЗИРОВАННОГО УЧЕТА НЕФТЕПРОДУКТОВ НА ОСНОВЕ МНОГОФУНКЦИОНАЛЬНОГО ПРОГРАММИРУЕМОГО КОНТРОЛЛЕРА ТОПЛИВНОГО СКЛАДА

The article is devoted to the actual problem of controlling the circulation of petroleum products in the warehouses of the service subsystem of an enterprise that supplies fuel to industrial vehicles. The processes of transportation of raw materials, materials, finished products, as well as the transportation of employees to remote work sites are important for the smooth functioning of the main production, and their cost reaches 25-30% of the cost of production. The purpose of the article is to study the problems of organizing automated accounting of petroleum products based on a multifunctional programmable controller of a fuel depot in service industries. The basis of the research methods was the dialectical and systematic approach, methods of formalization, modeling, methods of cause-and-effect relationships. To assess the pace of development of advanced production technologies, a statistical analysis of data dynamics was used, which makes it possible to determine priorities in the development of technologies, to identify the relationship between developments in a related direction. To visualize the technological processes in the fuel depot, which require the organization of automated control of petroleum products, the method of graphic descriptions of control processes was used, reflecting the route technology for performing managerial functions. The study of the organization of service industries of Russian enterprises showed the predominance of the use of manual control or the use of foreign information products for the purposes of accounting for petroleum products. Trends in the development of advanced production technologies have been identified that characterize the importance of creating equipment for automated transportation of materials, automated loading and unloading operations in the service subsystems of transportation and storage. The processes and operations at the transport fuel warehouse serving the transport subsystem of the main production are systematized. A schematic block diagram of technological processes at a fuel depot has been developed, requiring the organization of automated control and accounting of petroleum products. The functions of the control device are performed by the multifunctional controller of the fuel depot, for the operation of which it is necessary to provide connection of additional technological equipment. The duration of the technological cycle of operations at the fuel depot before and after process automation has been studied. For nine key operations, the time and cost of performing work are presented, the time and economic effect from the introduction of a multifunctional programmable controller is calculated, which is, respectively, 7.61% and 19.48 thousand rubles as a whole for the full technological cycle. The research materials have theoretical and practical significance, they can be used in the development of scientific investment projects for the creation and implementation of automated fuel storage systems based on a multifunctional programmable controller in the practice of organizing servicing production processes.

ANALYSIS OF (1 + n)-DIMENSIONAL GENERALIZED CAMASSA–HOLM KADOMTSEV–PETVIASHVILI EQUATION THROUGH LIE SYMMETRIES, NONLINEAR SELF-ADJOINT CLASSIFICATION AND TRAVELLING WAVE SOLUTIONS

In this paper, the nonlinear [Formula: see text]-dimensional generalized Camassa–Holm Kadomtsev–Petviashvili (g-CH-KP) equation is examined using Lie theory. Lie point symmetries of the equation are computed using MAPLE software and are generalized for the case of any dimension. Moreover, the equation is transformed into a nonlinear ordinary differential equation using the Abelian subalgebra. The nonlinear self-adjoint classification of the equation under consideration is accomplished with the help of which conservation laws for a particular dimension are calculated. Moreover, the new extended algebraic approach is used to compute a wide range of solitonic structures using different set of parameters. Graphic description of some specific applicable solutions for certain physical parameters is portrayed.

Transition processes during the start-up of the pumping unit of happ

The transition processes of the centrifugal pump in hydro accumulation power plant (HAPP) are studied in the article. The reliability of the pumping system is increased by the correct selection of the parameters of the transition process when regulating the operation of the pumping units. This prevents vibration damage and erosion. Based on the results obtained by calculating the hydraulic shock and the pressure loss in the system together, damage and failures in the pumping equipment and the network can be avoided. The results and graphs allow you to choose the right electric motor for the pump unit, taking into account the required pressure and water supply. Technical and economic efficiency is achieved by choosing a rated electric motor for the pump unit. Constructing graphic descriptions of the pump, determined the magnitude of the hydraulic effect in the grapho-analytical method.

Подход к расчету интенсивности транспортных потоков при организации наземных перевозок в районе ликвидации последствий чрезвычайных ситуаций по данным дистанционного зондирования Земли

When carrying out emergency recovery work to eliminate the consequences of an emergency, it is necessary to promptly provide information on the state of transport infrastructure facilities, which is possible only when using aerospace survey data. The aim of the study is to increase the efficiency of transportation in the emergency zone using heterogeneous vehicles under the conditions of synchronization of its movement, based on the use of Earth remote sensing data. Data source analysis for traffic flow modeling was carried out. Land transportation typical network graph description is presented. The dependences of the intensity of traffic flows along the edges of the network graph on traffic conditions, infrastructure characteristics and loading and unloading operations, parameters of wheeled, tracked vehicles and railway cars are revealed. It is proposed to use the minimax criterion when calculating the maximum traffic flow intensity along the network graph path and the entire transport network capacity. Based on the analysis of the tasks of monitoring the state of transport infrastructure facilities, the possibility of using Earth remote sensing data to reveal damage and flooding in the emergency zone was assessed. Based on the simulation modeling results of the ground transportation organization in the area of emergency response based on the Earth remote sens-ing data, the applicability of the proposed approach to the traffic flows intensity calculating based on the Earth remote sensing data was confirmed.

Investigating the Diversity of Tuberculosis Spoligotypes with Dimensionality Reduction and Graph Theory

The spoligotype is a graphical description of the CRISPR locus present in Mycobacterium tuberculosis, which has the particularity of having only 68 possible spacers. This spoligotype, which can be easily obtained either in vitro or in silico, allows to have a summary information of lineage or even antibiotic resistance (when known to be associated to a particular cluster) at a lower cost. The objective of this article is to show that this representation is richer than it seems, and that it is under-exploited until now. We first recall an original way to represent these spoligotypes as points in the plane, allowing to highlight possible sub-lineages, particularities in the animal strains, etc. This graphical representation shows clusters and a skeleton in the form of a graph, which led us to see these spoligotypes as vertices of an unconnected directed graph. In this paper, we therefore propose to exploit in detail the description of the variety of spoligotypes using a graph, and we show to what extent such a description can be informative.

The thermophysical flow of viscous fluid toward a permeable rotating disk with the Hall current and the Maxwell-Cattaneo law

The phenomenon of fluid flow through rotating surfaces has been a topic of vast interest among the research community due to its industrial applications such as spinning disk electrodes, evaporators, centrifuges, power engineering, and microclimate systems. Inspired by such developments, the ongoing study investigates the swirl flow of viscous fluid about a permeable disk. The disk experiences a uniform rotation and undergoes shrinking or stretching in its own plane. Hall’s current effects are also featured in the flow model. The energy equation is demonstrated by the Maxwell-Cattaneo law. This law holds the main feature of thermal inertia due to which the relaxation time initiates the steady-state heat conduction. Therefore, such a law overcomes the paradox of heat conduction in Fourier’s law. The traditional Von Karman approach of similarity functions is implemented to convert the governing flow equations into a self-similar form. The resultant flow system is then solved by the Runge–Kutta-Fehlberg (RKF) procedure with the shooting technique. For the exactness of the numerical computations, the results are compared with the available data for the limiting case of the physical flow configuration. The physical quantities are elaborated through graphical descriptions.

From Five-Loop Scattering Amplitudes to Open Trees with the Loop-Tree Duality

Characterizing multiloop topologies is an important step towards developing novel methods at high perturbative orders in quantum field theory. In this article, we exploit the Loop-Tree Duality (LTD) formalism to analyse multiloop topologies that appear for the first time at five loops. Explicitly, we open the loops into connected trees and group them according to their topological properties. Then, we identify a kernel generator, the so-called N7MLT universal topology, that allows us to describe any scattering amplitude of up to five loops. Furthermore, we provide factorization and recursion relations that enable us to write these multiloop topologies in terms of simpler subtopologies, including several subsets of Feynman diagrams with an arbitrary number of loops. Our approach takes advantage of many symmetries present in the graphical description of the original fundamental five-loop topologies. The results obtained in this article might shed light into a more efficient determination of higher-order corrections to the running couplings, which are crucial in the current and future precision physics program.

A 5d perspective on the compactifications of 6d SCFTs to 4d mathcal{N} = 1 SCFTs

Compactifying 6d superconformal field theories (SCFTs) to 4d mathcal{N} = 1 theories on two-punctured spheres (tubes) and tori with flux is realized using duality domain walls in 5d mathcal{N} = 1 Kaluza-Klein (KK) theories, which are usually denoted by flux domain walls. We revisit this construction and study it in detail from the 5d perspective, specifically rephrasing it using the box graph description of the extended Coulomb branch phases of 5d theories. This perspective could be helpful in understanding how to equivalently realize the 4d mathcal{N} = 1 models from geometric engineering in M-theory. Along the way, we show how to recover various properties of the 4d theories from the 5d perspective, such as the flux associated to the domain wall configurations and the presence of a mathfrak{u} (1) global symmetry in the 4d theory descending from the KK symmetry on the tube, which is broken to a discrete subgroup on a flux torus. We demonstrate all of these ideas using the rank 1 E-string theory.

Meta-DiSc 2.0: a web application for meta-analysis of diagnostic test accuracy data

BackgroundDiagnostic evidence of the accuracy of a test for identifying a target condition of interest can be estimated using systematic approaches following standardized methodologies. Statistical methods for the meta-analysis of diagnostic test accuracy (DTA) studies are relatively complex, presenting a challenge for reviewers without extensive statistical expertise. In 2006, we developed Meta-DiSc, a free user-friendly software to perform test accuracy meta-analysis. This statistical program is now widely used for performing DTA meta-analyses. We aimed to build a new version of the Meta-DiSc software to include statistical methods based on hierarchical models and an enhanced web-based interface to improve user experience.ResultsIn this article, we present the updated version, Meta-DiSc 2.0, a web-based application developed using the R Shiny package. This new version implements recommended state-of-the-art statistical models to overcome the limitations of the statistical approaches included in the previous version. Meta-DiSc 2.0 performs statistical analyses of DTA reviews using a bivariate random effects model. The application offers a thorough analysis of heterogeneity, calculating logit variance estimates of sensitivity and specificity, the bivariate I-squared, the area of the 95% prediction ellipse, and the median odds ratios for sensitivity and specificity, and facilitating subgroup and meta-regression analyses. Furthermore, univariate random effects models can be applied to meta-analyses with few studies or with non-convergent bivariate models.The application interface has an intuitive design set out in four main menus: file upload; graphical description (forest and ROC plane plots); meta-analysis (pooling of sensitivity and specificity, estimation of likelihood ratios and diagnostic odds ratio, sROC curve); and summary of findings (impact of test through downstream consequences in a hypothetical population with a given prevalence).All computational algorithms have been validated in several real datasets by comparing results obtained with STATA/SAS and MetaDTA packages.ConclusionWe have developed and validated an updated version of the Meta-DiSc software that is more accessible and statistically sound. The web application is freely available at www.metadisc.es.

A Note on Binary Strategy-Proof Social Choice Functions

Let Φn be the set of the binary strategy-proof social choice functions referred to a group of n voters who are allowed to declare indifference between the alternatives. We provide a recursive way to obtain the set Φn+1 from the set Φn. Computing the cardinalities |Φn| presents difficulties as the computation of the Dedekind numbers. The latter give the analogous number of social choice functions when only strict preferences are admitted. A comparison is given for the known values. Based on our results, we present a graphical description of the binary strategy-proof social choice functions in the case of three voters.

Numerical analysis of generalized Fourier's and Fick's laws for micropolar Carreaufluid over a vertical stretching Riga sheet

AbstractThe present analysis is considered the Micropolar Carreaufluid model over a vertical Riga sheet. Cattaneo–Christov heat flux theory is utilized rather than classical Fourier's law to scrutinize the heat transfer specification. The scheme of developing partial differential equations is turned into ordinary differential equations (ODEs) by employing specific transformations. The numerical scheme is implemented to solve the present model. This article includes the numerical and graphical description of numerous physical parameters on the velocity profile, microrotation, concentration profile, and temperature distribution. The values of skin friction were found to be bigger, but couple stress values were found to be lesser due to boosting values of (buoyancy ratio term). The velocity function gradually improved due to improvement in M (modified Hartmann number). The velocity function gradually improved due to improvement in K (micropolar parameter). The γ (Dimensionless parameter) slowly augmented as well as the velocity function declined. The temperature function curves and γ1 are found to be the same behavior of amassed increasingly.