Numerical Terms Research Articles

Development of new approaches to information transparency diagnostics in the regional market

The purpose of the research is to develop a methodological approach to the information transparency diagnostics in regional markets based on the analysis of the transaction costs dynamics.
 Methodology. To achieve this goal, methods of logical generalization, dialectical, system-structural methods, methods of analysis, synthesis and grouping, regression analysis were used.
 Results. It is proved that the level and structure of transaction costs are influenced by the peculiarities of the functioning of a particular market, so the approbation of the approach took place in a regional real estate market. The hypothesis that there is a linear relationship between the profits of market participants outside the region and foreign investment in this market has been put forward and successfully proved. Attention is focused on the presence of a significant number of investment risks associated with information entropy. It is justified that this encourages market agents to constantly conduct a thorough search, structuring and analysis of any information, which ultimately leads to a significant increase in transaction costs. Based on this, it is suggested that the reduction of transaction costs will increase foreign investment in market development. To confirm it, a regression model was developed, which allowed to establish that the reduction of the average transaction costs of one transaction in the current year will lead to an increase in foreign investment by 1 operation next year. At the same time, integration processes play a significant role, which is expressed in the increase of profits of foreign actors in the regional market and, as a consequence, in the growth of foreign investment in the region.
 Practical meaning. The proposed approach allows to assess in numerical terms the information transparency of a particular regional market. It contributes to the expansion of methodological tools of territorial marketing. In practical terms, it will facilitate the adoption and implementation of adequate management decisions aimed at improving the investment climate and, consequently, the formation of a positive image of the region.
 Prospects for further research. As a promising area of ​​further research, it is proposed to develop a methodology for forming an index of information transparency, based on the analysis of the dynamics of transaction costs and their impact on foreign investment.

Clinical implementation and scientific development of photodynamic therapy in Russia in 2010-2020

In recent years, the development of methods of photodynamic therapy (PDT) and photodynamic photodiagnostics (PD) in Russia is characterized by an intensive rise, steadily growing interest of specialists from various medical specialties in the method of specialists from various medical specialties, an increase in the level of equipment number of hospitals with the necessary equipment for performing PD and PDT, the and the emergence of new photosensitizers on the pharmaceutical market, and an increasing increase in the level of patients’ confidence in these methods. This study analyzes the dynamics of the development of the clinical application and scientific developments of PD and PDT over the past decade in Russia in terms of the volume of public procurement of photosensitizers, as well as the activity of research work in the field of PD and PDT, the number of candidate and doctoral dissertations theses on this topic and the number of scientific publications in the RSCI. 688 contracts for the supply of photosensitizers for clinical use were analyzed. The analysis showed a stable annual growth in the volume of public procurement of photosensitizers, an increase in the number of subjects of the Russian Federation and clinical centers that purchase photosensitizers through the portal www.zakupki.gov.ru. From 2014 to 2020, the total volume of public procurement of all photosensitizers increased by 8 times (from 36.42 million rubles (3.58 thousand packages) to 307.37 million rubles (18.99 thousand packages)). The annual increase in the volume of public procurement in numerical terms over the previous 6 years ranged from 9.4% to 63.2% in different years. The main share of state purchases of photosensitizers falls on Moscow and St. Petersburg, h. However, in recent years there has been a noticeable trend towards an increase in sales of photosensitizers in the regions. Thus, in recent years, the share of purchases of photosensitizers in the constituent entities of the Russian Federation with a population of less than 1 million people has significantly increased (from 2.9% of the total number of purchases in 2014 to 25.3% in 2020). Also, in recent years, there has been a significant increase in the activity of research work activity in the field of PD and PDT. The number of defended candidate and doctoral dissertations theses defended in the field of PD and PDT photodynamic therapy and fluorescent diagnostics has been steadily high in recent years and, in some scientific specialties, reaches 2-3% of the total number of defended dissertations theses defended in these specialties. The increase in the total number of publications over 10 years according to the RSCI was 224% (from 218 publications in 2014 to 489 publications in 2019), according to the RSCI. The results obtained confirm the growing demand for photosensitizers for photodynamic therapy and fluorescence diagnostics in clinical practice, the expansion of the geography of the use of methods, as well and the stable interest in this topic in the research environment.

The Quantitative Impact of Using 3D Printed Anatomical Models for Surgical Planning Optimization: Literature Review.

3D printing has entered the medical field as a visualization tool that allows the manufacture of three-dimensional (3D) models that physically represent the anatomy of a patient in need of analysis to improve surgical results. This article analyzes the literature around reported study cases that make use of anatomical models for their surgical processes' planning, focusing on obtaining the quantitative results of each one of them. A search of case studies was carried out in the main medical databases such as PubMed, ScienceDirect, SpringerLink, among others; to obtain the most relevant results of the 56 selected articles, the information of each study was analyzed and categorized. These articles presented figures and data about the benefits that are considered more representative to measure the positive impact of this technology. These benefits are summarized in variables such as the decrease in surgical time, greater accuracy in the diagnosis of pathology, blood loss reduction, and decreasing operating room costs; owed to an improvement in the surgery planning. It was found that in all the cases analyzed there was an improvement in the surgical results related to these variables, which were summarized in macro figures that combine this improvement quantitatively. In the analyzed studies, it was evident that there is great potential in the use of 3D printing for presurgical planning, being as the results of these analyzed interventions were better when using this technology. In addition, it was found that the results obtained initially, before applying the inclusion and exclusion criteria, were mostly of a qualitative nature; expressing the perception of researchers regarding the positive use of this tool in the field and evidencing an opportunity for this research to focus on concrete and technical information to show in numerical terms the effectiveness of this tool, to demonstrate the cost-benefit that it has for the field.

Analysis and reconstruction of the simplified thermal lattice Boltzmann method

The previous thermal lattice Boltzmann models are generally based on the lattice framework, which leads to some intrinsic drawbacks including the limitation of uniform mesh, coupled time step with mesh spacing, extra memory size, and complex boundary treatment. Aiming to decrease memory size and achieve good numerical stability for high Rayleigh number thermal flows, the simplified thermal lattice Boltzmann method (STLBM) was proposed. However, STLBM still has two fundamental problems. Firstly, as a weakly compressible model, its reason for the good numerical stability at high Rayleigh number thermal flows has not been revealed in the perspective of macroscopic scale yet. Secondly, it still depends on the uniform mesh, which makes the implementation of non-uniform meshes time-consuming and complicated. To tackle the two problems, the macroscopic equations of STLBM (MEs-STLBM) with actual numerical dissipative terms are derived firstly by approximating its actual computational process. By solving MEs-STLBM with the least-squares-based finite difference (LSFD) method, the limitation of the uniform mesh of STLBM can be easily overcome. Numerical investigation proves that the numerical dissipative terms in MEs-STLBM are the reason for the good numerical stability at high Rayleigh number thermal flows. By retaining these numerical dissipative terms, the discretized MEs-STLBM can recover the accuracy and numerical stability of STLBM well. Besides, they have significantly higher computational efficiency than STLBM.

PREDICTION OF HIGH-PERFORMANCE FIBERREINFORCED POLYMER CONCRETE USING FUZZY NEURAL NETWORK PROTOTYPES

RC building elements of Reinforcing and upgrading is essential to extend its maintenance time, to overcome first structural limitations, and to control the consequence of building construction or design flaws. The RC constructions are reinforced by using the FRP-fiber reinforced polymer. This study utilizes the FRP in concrete structures for instance a Jute, coir, and Sisal is explored for its reliability in improving ductility and strength related structural performance. FRP structural response of the model parameters is studied by measuring the numerical and experimental terms, for instance, Ductility, Deflection, Tensile-Strength, and Compression-Strength. The quality of the sample specimens is tested by using the Fuzzy Neural Network (FNN) system. At this time, compared with existing jobs, the propounded Fuzzy Neural Network model accomplishes the best presentation regarding all boundaries for the fiberreinforced specimen over different stacked conditions

Analyses and reconstruction of the lattice Boltzmann flux solver

The lattice Boltzmann flux solver (LBFS) uses the finite volume method (FVM) to update macroscopic variables while uses the local solution of lattice Boltzmann equation (LBE) to calculate fluxes at the cell interface. It overcomes the intrinsic drawbacks of the lattice Boltzmann method which include the limitation of uniform mesh, coupled time interval with mesh spacing, and extra memory requirement. The recovered macroscopic equations indicate that LBFS is a weakly compressible model. In general, directly solving weakly compressible models with the central difference scheme suffers numerical instability and additional treatments are needed to stabilize computation. The present paper firstly recovers the macroscopic equations of LBFS (MEs-LBFS) with actual numerical dissipative terms by approximating its actual computational process and then analyzes the mechanisms of the good performance of LBFS. Based on these mechanisms, the reconstructed LBFS (RLBFS), which directly uses macroscopic variables rather than LBE to calculate fluxes at the cell interface, is proposed. Numerical tests indicate that RLBFS preserves the mechanisms of restraining pressure oscillation and stabilizing numerical computation in LBFS perfectly. It is capable of simulating both steady and unsteady, 2D and 3D, viscous and inviscid flows as well, and has higher computational efficiency than LBFS.

Empirical and Numerical Analysis of an Opaque Ventilated Facade with Windows Openings under Mediterranean Climate Conditions

In recent years, there has been growing concern regarding energy efficiency in the building sector with energy requirements increasing worldwide and now responsible for about 40% of final energy consumption in Europe. Previous research has shown that ventilated façades help to reduce energy use when cooling buildings in hot and temperate climates. Of the different ventilated façade configurations reported in the literature, the configuration of ventilated façade with window rarely has been studied, and its 3D thermodynamic behavior is deserving of further analysis and modeling. This paper examines the thermal behavior of an opaque ventilated façade with a window, in experimentally and numerical terms and its impact in energy savings to get indoor comfort. Field measurements were conducted during the winter, spring and summer seasons of 2021 using outdoor full scale test cells located in Seville (southern Spain). The modeling of the ventilated façade was carried out using a three-dimensional approach taking into account the 3D behavior of the air flow in the air cavity due to the presence of the window. The validation and comparison process using experimental data showed that the proposed model provided good results from quantitative and qualitative point of view. The reduction of the heat flux was assessed by comparing the energy performance of a ventilated façade with that of an unventilated façade. Both experimental and numerical results showed that the ventilated façade provided a reduction in annual total energy consumption when compared to the unventilated façade, being compensated the winter energy penalization by the summer energy savings. This reduction is about 21% for the whole typical climatic year showing the ability of the opaque ventilated façade studied to reduce energy consumption to insure indoor comfort, making its suitable for use in retrofitting the energy-obsolete building stock built in Spain in the middle decades of the 20 century.

ОЦЕНКА ПОКАЗАТЕЛЕЙ ИНФОРМАЦИОННО-УПРАВЛЯЮЩЕЙ СИСТЕМЫ КОМПЛЕКСОВ С БЕСПИЛОТНЫМИ ЛЕТАТЕЛЬНЫМИ АППАРАТАМИ ВОЕННОГО НАЗНАЧЕНИЯ В УСЛОВИЯХ ИНФОРМАЦИОННО-ТЕХНИЧЕСКИХ ВОЗДЕЙСТВИЙ

Introduction: the increasing capabilities of modern complexes with unmanned aerial vehicles and their widespread use, when performing reconnaissance and reconnaissance-strike tasks, has led to an unprecedented level of counteraction from enemy complexes and systems, which is defined by the concept of information technology conflict. Purpose: the purpose of the study is to determine the estimated indicators that make it possible to determine in numerical terms with what degree of efficiency a particular task assigned to complexes with unmanned aerial vehicles is being solved. Among the performance indicators of complexes with unmanned aerial vehicles, generalized, private, system and final indicators are distinguished. In this paper, we will consider particular indicators characterizing the information and control system of complexes with unmanned aerial vehicles as a mobile packet radio communication system for special purposes in the conditions of information and technical influences from the enemy. Results: the classification of the most important tactical and technical indicators characterizing the functioning of the information management system of complexes with unmanned aerial vehicles is proposed, the main and promising methods of information and technical impacts and the types of technical intelligence preceding them are shown. The basic concepts are given, the formulaic expressions of the requirements for information and control systems are defined, such as: security, efficiency (timeliness), reliability, stability, noise immunity, noise immunity, technical reliability, secrecy (intelligence protection), cyber resistance, imitability, survivability. Practical relevance: the use of private indicators will allow us to switch to the use of generalized indicators (convolutions, objective functions or quality functionals), which in turn will help to get more general ideas about the effectiveness of control systems of complexes with unmanned aerial vehicles, including when organizing their group interaction.

Оценка мультипликативных эффектов в экономике Хабаровского края: влияние на доходы населения

The purpose of the study is to assess the impact of multiplier effects in the economy of the Far-Eastern federal district, generated by exogenous changes, on the household income. The Khabarovsk territory was chosen as a model region, which has a set of geographical, economic, social, including demographic, characteristics typical for the entire line of the Far-Eastern subjects of the Russian Federation. The main research method is a balance structural modeling based on the principles of national accounting methodology. Experimental assessment of the matrix of financial flows of the Khabarovsk territory is carried out, taking into account disaggregation of the household account, namely, distribution of the income by 20% (quintile) groups of population, ranked in ascending order of average per capita income. Using the matrix approach allows not only study systematically financial flows between the institutional units in the region, but also to conduct a quantitative analysis of the multipliers of exogenous aggregate demand, demand for the residents' products, demand for production factors (capital and labor). The time frame of the study covers the 2019-2020 biennium. The scientific interest in this period is explained by an attempt to assess changes in the influence of exogenous factors on the dynamics of incomes of the population, taking into account the effect of external shock in relation to the region - a pandemic caused by the spread of a new coronavirus infection. The obtained estimates identified in numerical terms the relationship between regional socio-economic dynamics and changes in the well-being of the population in the context of its individual income groups. An increase in 2020 relative to 2019 is shown in the sensitivity of household incomes in the region to exogenous changes in gross output and the production factor - labor; decrease - the output of the residents of the region and the factor of production - capital. Income groups that influence the change in the corresponding sensitivity are identified.

Oscillation-free nodal discontinuous spectral element method for the simulation of compressible multicomponent flows

The nodal discontinuous spectral element method (DSEM) is improved to avoid pressure and velocity oscillations from material interfaces in the solution of multi-component compressible flows. A novel double flux method compatible with the DSEM scheme is developed to account for variations in the specific heats ratio at material interfaces. The double flux method consists of a modified Harten-Lax-van Leer-Contact (HLLC) Riemann solver and an averaging technique to freeze the temperature-dependent specific heats ratio during the solution update to remove oscillations. The double flux model is combined with a conservative method of calculating the convective flux function to avoid unnecessary energy conservation error at shock fronts. Numerical diffusion terms are also introduced for capturing a shock wave, contact discontinuity, and material interface, without inducing oscillations at the material interface. A series of one- and two-dimensional tests are conducted to evaluate the efficacy of the numerical scheme in capturing sharp discontinuities, as well as vortices, without introducing significant conservation error. According to the benchmark results, the new approach maintains the pressure, velocity, and temperature equilibriums across material interfaces. Artificial diffusion is added to the equation in a controlled manner that enables a higher Courant-Friedrichs-Lewy (CFL) number for high polynomial orders. The present scheme's performance is validated by comparing the spatiotemporal evolution of characteristic points in the shock-bubble interaction and Richtmyer-Meshokov's instability problems.

Women's adversities

It is up to the State to promote appropriate measures to “guarantee fundamental rights and freedoms and the respect for the principles of a democratic law State”, in accordance with Article 9 (b) of the Constitution of the Portuguese Republic. Our objectives were to examine how the Portuguese legislator is attentive to the particularities of being a woman in matters such as hygiene, health, motherhood and parental education during the execution of sentences and we wanted to investigate the mechanisms triggered by the State for protection, as a preventive measure, of women as victims of crimes. We made research, in numerical terms, to know the rate of constituted women accused in criminal proceedings, as well as the number of convicted, from a set of recent and of reference official documentary sources, based on the existing statistical resources. We also made an analysis of the pertinent legislative diplomas, among them, the aforementioned Code of the Execution of Penalties and Freedom Deprivation Measures and the General Regulation of Prison Establishments. The fulfilment of a prison sentence implies vast and varied consequences, from personal to familiar, passing through social and professional consequences, among others. We concluded that compared to the male universe, the number of women accused and convicted is clearly lower. On the other hand, it is women who make up the largest share as victims of certain offenses. According to the 2019 Annual Report, authored by APAV, female victims amounted to 8,394.

The Mental Health Consequences of Work-Life and Life-Work Conflicts for STEM Postdoctoral Trainees.

Research has shown that work-life conflicts exist among all kinds of workers, including academics, and these conflicts are a key contributor to workers’ reports of poor well-being. Very little research has been done on work-life conflict among post-baccalaureate PhD trainees (e.g., graduate students and postdoctoral trainees) who reside in an important liminal stage in the professoriate pipeline. In this study, we examine the degree to which postdocs believe they suffer from conflicts between their work responsibilities and their home responsibility and the relationship between those conflicts and postdoc’s mental health. We argue that, like other workers, postdocs suffer (in numerical terms and its relationship to health) more from the work-to-life imbalances than from life-to-work imbalances; life matters more than work, ultimately. Our results, based on a survey of 215 STEM postdoctoral trainees, reveal that a majority of postdocs say they have work-life conflicts and these work-life conflicts are associated with negative mental health outcomes. We discuss the potential impact of these findings on attempts to broaden participation in STEM careers and diversify the professoriate.

When diversity becomes a resource: Managing alterity and everyday cosmopolitanisms in Carlo Pisacane, a primary school in Rome

The paper addresses the ways in which the negative social connotation associated with a majority of foreigners in an Italian primary school (Carlo Pisacane, Rome) was first ‘ethnicized’ in numerical terms, and subsequently politically transformed into an issue of national identity. The purpose of this paper is then to show Pisacane’s attempts to transform itself from a school of immigrants into a cosmopolitan space and, to some extent, how it is unintentionally transforming itself into a cosmopolitan enclave. The proposal is therefore to rethink to Pisacane as a cosmopolitan enclave within which different forms of everyday cosmopolitanisms have the opportunity to grow and develop, together with some paradoxes and unintentional practices of exclusion. In the attempt to eradicate the opposition between being cosmopolitan and being parochial, the suggestion is to rethink to cosmopolitanism no longer as a typical phenomenon of Western “rootless” elites but rather as situated.

Non-linear Response to Cell Number Revealed and Eliminated From Long-Term Tracheid Measurements of Scots Pine in Southern Siberia.

Dendroclimatic research offers insight into tree growth–climate response as a solution to the forward problem and provides reconstructions of climatic variables as products of the reverse problem. Methodological developments in dendroclimatology have led to the inclusion of a variety of tree growth parameters in this field. Tree-ring traits developed during short time intervals of a growing season can potentially provide a finer temporal scale of both dendroclimatic applications and offer a better understanding of the mechanisms of tree growth reaction to climatic variations. Furthermore, the transition from classical dendroclimatic studies based on a single integral variable (tree-ring width) to the modern multitude of quantitative variables (e.g., wood anatomical structure) adds a lot of complexity, which mainly arises from intrinsic feedbacks between wood traits and muddles seasonality of registered climatic signal. This study utilized life-long wood anatomical measurements of 150- to 280-year-old trees of Pinus sylvestris L. growing in a moisture-sensitive habitat of the forest-steppe of Southern Siberia (Russia) to investigate and eliminate legacy effect from cell production in tracheid traits. Anatomical parameters were calculated to describe the results of the three main subsequent stages of conifer xylem tracheid development, namely, cell number per radial file in the ring, mean and maximum cell radial diameter, and mean and maximum cell-wall thickness. Although tree-ring width was almost directly proportional to cell number, non-linear relationships with cell number were revealed in tracheid measurements. They exhibited a stronger relationship in the areas of narrow rings and stable anatomical structure in wider rings. The exponential models proposed in this study demonstrated these relationships in numerical terms with morphometric meaning. The ratio of anatomical measurements to their modeled values was used to develop long-term anatomical chronologies, which proved to retain information about climatic fluctuations independent of tree-ring width (cell number), despite decreased common signal.

Analysis and reconstruction of the revised formulations of the simplified and highly stable lattice Boltzmann method

The present study aims to find the reason for the good numerical stability of the revised formulations of the simplified and highly stable lattice Boltzmann method (RSHSLBM) at high Reynolds number and reconstruct RSHSLBM in the macroscopic scale to overcome the limitation of uniform mesh. To this end, the macroscopic equations of RSHSLBM (MEs-RSHSLBM) with actual numerical dissipative terms are derived by approximating its actual computational process. By directly solving MEs-RSHSLBM with the least squares-based finite difference method, the limitation of uniform mesh can be easily overcome. Numerical investigations prove that those numerical dissipative terms help achieve good numerical stability at high Reynolds numbers of RSHSLBM. By retaining those numerical dissipative terms, the discretized MEs-RSHSLBM can recover the numerical stability and accuracy of RSHSLBM very well. Besides, the discretized MEs-RSHSLBM can be easily implemented on non-uniform meshes and achieve significantly higher computational efficiency.

A computational review of the line integral analytical formulation of the polyhedral gravity signal

ABSTRACTThe generally shaped polyhedron is a widely used model in gravity field modelling and interpretation. Its induced gravity signal – gravitational potential and its derivatives up to second order – has been studied extensively in the geophysical literature. The class of solutions with special interest is the one which leads to closed analytical expressions, as these offer an exact representation of the gravity signal of finite three‐dimensional distributions while being at the same time linked to a flexible means of geometric modelling. Of the several mathematical algorithms available, the line integral approach involves no approximations and is, however, connected with certain singularities, occurring for specific relative positions of the computation point with respect to the polyhedral source. The present contribution analyses the algorithmic details of the polyhedral line integral approach focusing on its geometric and computational aspects. Following the definitions of the individual coordinate systems and the two‐step application of the Gauss divergence theorem for each face and polygonal boundary of the source, the geometric insight of the algorithm is presented, which permits a deeper understanding of the significance of the involved numerical singular terms. An overview of the line integral analytical approach for the polyhedral gravity signal is presented with emphasis on its geometric and computational aspects. Matlab code and results for the two considered case studies, a prismatic source and asteroid Eros, are provided as electronic supplement.

Localizing hot spots in Poisson radiation data matrices: nonnegative tensor factorization and phase congruency

Detecting and delineating hot spots in data from radiation sensors is required in applications ranging from monitoring large geospatial areas to imaging small objects in close proximity. This paper describes a computational method for localizing potential hot spots in matrices of independent Poisson data where, in numerical terms, a hot spot is a cluster of locally higher sample mean values (higher Poisson intensity) embedded in lower sample mean values (lower background intensity). Two numerical algorithms are computed sequentially for a 3D array of 2D matrices of gross Poisson counts: (1) nonnegative tensor factorization of the 3D array to maximize a Poisson likelihood and (2) phase congruency in pertinent matrices. The indicators of potential hot spots are closed contours in phase congruency in these matrices. The method is illustrated for simulated Poisson radiation datasets, including visualization of the phase congruency contours. The method may be useful in other applications in which there are matrices of nonnegative counts, provided that a Poisson distribution fits the dataset.

Feeding Habits, Microhabitat Use, and Daily Activity Cycle of Adenomera marmorata (Anura, Leptodactylidae) in Two Brazilian Atlantic Forest Remnants

We investigated daily activity, microhabitat use, and feeding habits of the anuran Adenomera marmorata in two Brazilian Atlantic forest remnants: Estação Ecológica Estadual Paraíso (EEEP) and Reserva Ecológica de Guapiaçu (REGUA). Most individuals were active at dusk (EEEP: n = 5 or 62.5%; REGUA: n = 16 or 45.7%; populations pooled: n = 21 or 48.8%) and nocturnally (EEEP: n = 3 or 37.5%; REGUA: n = 17 or 48.6%; populations pooled: n = 20 or 46.5%); however, individuals were encountered during the day (EEEP: n = 0; REGUA: n = 2 or 5.7%; populations pooled: n = 2 or 4.7%). The microhabitat used most by the anurans was the leaf litter of forest floor (EEEP: n = 8 or 80.0%; REGUA: n = 33 or 94.3%; populations pooled: n = 41 or 91.1%). In EEEP, in numerical terms, mainly isopods (33.33%) and ants (22.22%) composed the diet of A. marmorata. Volumetrically, Isopoda (77.37%) was the most important item. In terms of frequency of occurrence, isopods, and ants, both consumed by 30% of the individuals, were the most relevant food items. In REGUA, numerically, individuals mainly consumed ants (23.26%) and isopods (20.93%). In volumetric terms, individuals predominantly ingested isopods (56.57%). The food items most commonly consumed by individuals in REGUA were isopods (40.63%) and ants (37.50%). Adenomera marmorata ingested 8 different types of food in EEEP and 14 in REGUA, feeding on a significantly higher number of food items in REGUA than in EEEP. The populations also differed in diet composition in volumetric terms, showing that food consumption can vary between populations, which might result from differences in local food availability and individual morphological characteristics. Adenomera marmorata might be able to forage opportunistically or selectively depending on the prey.

Демографические процессы в Балканском регионе (Республика Сербия)

The article is devoted to the demographic situation in the Republic of Serbia, which is linked with the tragic consequences of the wars and conflicts of the Second World War and the collapse of Yugoslavia. These events (genocide, extermination, expulsion, forced immigration) are still awaiting international legal assessments, but have already been reflected in the pages of research. The demographic consequences for the Serbian people, which over the course of their history have repeatedly stood on the brink of complete extinction, cannot be measured only in numerical terms; such tragedies are permanently imprinted in the memory of generations, determine the future gene pool and the demographic potential of the nation.  The demographic consequences of these tragedies, along with the socio–economic ones, have become the most difficult for the Serbian people.

Harnessing the Power of Artificial Intelligence in the Accounting Industry: A Case Study of KPMG

In the ‘New Normal', the accounting industry is experiencing heavy pressure associated with artificial intelligence (AI). The purpose of this study is to examine the ways and how organizations are harnessing the power of artificial intelligence in the accounting industry through the lens of KPMG. There are 39 employees from the KPMG who responded through a structured questionnaire on Google Forms circulated among the employees of the company. The data collected were analyzed and presented in the table of numerical terms. The results showed there is a significant positive relationship between the adaptation of AI in the accounting tasks in KPMG company. The results of this study reflect upcoming AI practices that will be sent to the KPMG to enhance awareness and adopt artificial intelligence applications for better productivity. These findings can help the accountants in clearly understanding how they can use AI technology to improve the accounting standards.