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This paper summarizes practices of customer- driven services applied in the leading Russian bank to avoid the impact of financial sanctions (2014–2019). We show how economic sanctions and strict national policies triggered this bank to increase flexibility in customer care to attract more capital from their existing clients. The project comprised three stages: (1) to analyse requirements and to develop ‘‘as-is’’ state of processes; (2) to analyse best practices and to improve processes under the scope of flexibility and customer orientation; (3) to implement the new vision in ‘‘to-be’’ state and final verification. At the third research stage to assess the results of processes improvement in the bank within a year we have applied a set of methods based on data envelopment analysis which provides a multidimensional understanding of processes and new scopes of customer’s value profiles. We have found that process reengineering result could give the contribution already at the first month of implementation and argue the findings could be used to introduce flexible data-driven customer care and improve customer-related processes in organisations worldwide.
In this paper we propose an approach for compact storage of big graphs. We
propose the preprocessing algorithms of a certain type of graphs which can
signi cantly increase the data density on the disc and increase performance
of fundamental operations with graphs.
We investigate the evolutionary model with recombination and random switches in the fitness function due to change in a special gene. The dynamical behaviour of the fitness landscape induced by the specific mutations is closely related to the mutator phenomenon, which, together with recombination, plays an important role in modern evolutionary studies. It is of great interest to develop classical quasispecies models towards better compliance with the observation. However, these properties significantly increase the complexity of the mathematical models. In this paper, we consider symmetric fitness landscapes for several different environments, using the Hamilton-Jacobi equation (HJE) method to solve the system of equations at a large genome length limit. The mean fitness and surplus are calculated explicitly for the steady-state, and the relevance of the analytical results is supported by numerical simulation. We consider the most general case of two landscapes with any values of mutation and recombination rates (three independent parameters). The exact solution of evolutionary dynamics is done via a solution of a fourth-order algebraic equation. For the more straightforward case with two independent parameters, we derive the solution using a quadratic algebraic equation. For the simplest case, when there are two landscapes with the same mutation and recombination rates, we derive some effective fitness landscape, mapping the model with recombination to the Crow-Kimura model.
The effectiveness of the research results’ implementation is one of the main indicators that must be taken into account in the allocation of budget funds for research. The requirement of efficiency of spending budget funds allocated for research works leads to the necessity for continuous improvement of the methodological apparatus of decision support on the allocation of funds, including considering the efficiency of implementation of previously obtained research results of each certain research institution. With the development of information technology, it is important to improve the quality of the use of budgetary funds through information support for decision making on the organization of research in the Health Ministry of Russia, based on the assessment of the potential of the research institution, reflecting their ability to achieve the stated results in the execution of state contracts. The technique of integrated assessment of the effectiveness of research results in scientific institutions of the Health Ministry of Russia is obtained in the framework of state assignments or state contracts on the basis of a set of scientometric and statistical indicators, as well as expert evaluation. The requirements to the methodology and indicators, and the requirements to the approaches and methods of expert evaluation are consistently given.
The present paper is devoted to the study of the mechanics of agent-informational clustering in a social network on the example of user segmentation tasks taking into account an influence criterion. The main features of data generated by social networks (social big data) and metrics that characterize influential network nodes are considered. A review of community-building algorithms based on the theory of social networks, as well as clustering methods based on machine learning, is carried out. Metrics for assessing the quality of segmentation are presented. The results of the application of methods (selected on the basis of the performed analysis) to a test dataset are shown. The limitations of the applicability of considered approaches and possible problems during the implementation of algorithms in the field of social network analysis are described. Evaluation of the effectiveness is performed.
Despite the critical importance of achieving business and IT alignment in organizations, its practical operationalization at the level of specific actors, decisions, and documents still remains rather shadowy. This paper explains the operationalization of alignment as a pipeline with five distinct decision-making phases: positioning, focusing, prioritizing, assessing, and implementing.
Currently, there is a widespread introduction of quantum technologies in human activity. The prospects of quantum technologies use for the needs of biomedicine are considered. The necessity of the development of new quantum technologies and methods for organizing the processing and analysis of large biomedical data is substantiated. Opportunities and prospects of using modern quantum computers for the needs of biomedicine are being analyzed. The prospects for the use of quantum sensors in biomedicine are discussed. The possibility of using quantum communication lines in the near future to transmit confidential personalized biomedical information is being considered. Prospects for using quantum dots for the purpose of killing both multidrug-resistant bacteria and cancer cells are discussed.
A kinetic model is proposed to describe the self-organized criticality on Twitter. The model is based on a fractional three-parameter self-organization scheme with stochastic sources. It is shown that the adiabatic regime of self- organization to the critical state is determined by the coordinated action of a relatively small number of network users. The model is described the subcritical, self-organized critical and supercritical state of Twitter.
The paper considers one of the important elements of the business process of managing customer relationships in almost every enterprise – consumer’s claims management process. Timely analysis of customer complaints not only affects the company's reputation, but also to reduce costs, improve product quality. This article discusses the process of managing consumer complaints in accordance with regulatory documents – ISO 10002-2007 «Quality management – Customer satisfaction» As part of the work, a claims management model is being built, and a methodology for analyzing the repeatability of claims is being developed. The developed method of analysis of repeatability of claims was successfully tested at one of the enterprises of the military-industrial complex and can be applied in the future at other industrial enterprises.
This tutorial discusses large scientific projects and the volumes of data generated by them, provides an overview of scientific computer networks that allow high-speed transmission of large amounts of data for these projects; computing systems offered by leading manufacturers of computer equipment for processing large amounts of data, and providing both the ability to store large amounts of data, including distributed, as well as analytics and parallel data processing in real time. Particular attention is paid to the safety of scientific information transmitted.
in the present paper author explains the results of using Smart TV as a tool for Industry 4.0, in particular for media industry, also measuring of Quality-of-Service and new business development. A Smart TV is a single connected device or intelligent sensor which increases industry performance through the number of services by using the existing network infrastructure. Thanks to special tracking and analyzing information on board Smart TVs help to improve the service for VoD service provider and product quality for Vendor. Results of applying several methods for problem solving will be reviewed at present material
This work is devoted to the investigation of particle acceleration during magnetospheric dipolarizations. A numerical model is presented
taking into account the four scenarios of plasma acceleration that can be realized: (A) total dipolarization with characteristic time scales of
3 min; (B) single peak value of the normal magnetic component Bz occurring on the time scale of less than 1 min; (C) a sequence of rapid
jumps of Bz interpreted as the passage of a chain of multiple dipolarization fronts (DFs); and (D) the simultaneous action of mechanism (C)
followed by the consequent enhancement of electric and magnetic fluctuations with the small characteristic time scale 1 s. In a frame of the
model, we have obtained and analyzed the energy spectra of four plasma populations: electrons e, protons Hþ, helium Heþ, and oxygen Oþ
ions, accelerated by the above-mentioned processes (A)–(D). It is shown that Oþ ions can be accelerated mainly due to the mechanism (A);
Hþ and Heþ ions (and to some extent electrons) can be more effectively accelerated due to the mechanism (C) than the single dipolarization
(B). It is found that high-frequency electric and magnetic fluctuations accompanying multiple DFs (D) can strongly accelerate electrons e
and really weakly influence other populations of plasma. The results of modeling demonstrated clearly the distinguishable spatial and temporal
resonance character of particle acceleration processes. The maximum particle energies depending on the scale of the magnetic acceleration
region and the value of the magnetic field are estimated. The shapes of energy spectra are discussed.
The paper deals with cyclostationarity as a natural extension of stationarity as the key property in designing the widely-used models of random processes. The comparative example of two processes, one is wide-sense stationary and the other is wide-sense cyclostationary, is given in the paper and reveals the lack of the conventional stationary description based on one-dimensional autocorrelation functions. It is shown that two significantly different random processes appear to be characterized by exactly the same autocorrelation function while their two-dimensional autocorrelation functions provide outlook where the difference between processes of two above-mentioned classes becomes much clearer. More concise representation by expanding the two-dimensional autocorrelation function to its Fourier series where the cyclic frequency appears as the transform parameter is illustrated. The closed-form expression for the components of the cyclic autocorrelation function is also given for the random process which is an infinite pulse train made of rectangular pulses with randomly varying amplitudes.
Today’s dominant design for the Internet of Things (IoT) is a Cloud-based system, where devices transfer their data to a back-end and in return receive instructions on how to act. This view is challenged when delays caused by communication with the back-end become an obstacle for IoT applications with, for example, stringent timing constraints. In contrast, Fog Computing approaches, where devices communicate and orchestrate their operations collectively and closer to the origin of data, lack adequate tools for programming secure interactions between humans and their proximate devices at the network edge. This paper fills the gap by applying Action-Oriented Programming (AcOP) model for this task. While originally the AcOP model was proposed for Cloud-based infrastructures, presently it is re-designed around the notion of coalescence and disintegration, which enable the devices to collectively and autonomously execute their operations in the Fog by serving humans in a peer-to-peer fashion. The Cloud’s role has been minimized—it is being leveraged as a development and deployment platform.
Urban greenery such as trees can effectively reduce air pollution in a natural and eco-friendly way. However, how to spatially locate and arrange greenery in an optimal way remains as a challenging task. We developed an agent-based model of air pollution dynamics to support the optimal allocation and configuration of tree clusters in a city. The Pareto optimal solutions for greenery in the city were computed using the suggested heuristic optimisation algorithm, considering the complex absorptive-diffusive interactions between agent-trees (tree clusters) and air pollutants produced by agent-enterprises (factories) and agent-vehicles (car clusters) located in the city. We applied and tested the model with empirical data in Yerevan, Armenia, and successfully found the optimal strategy under the budget constraint: planting various types of trees around kindergartens and emission sources.
In the paper is proposed an algorithm and functional model for identifying key indicators of the financial performance of sports clubs. The obtained indicators are representative and recommended to managers for monitoring and management. Relevant automation recommendations have been developed that will help managers make decisions and minimize the costs of managerial errors.
Evolution on changing fitness landscapes (seascapes) is an important problem in evolutionary biology. We
consider the Moran model of finite population evolution with selection in a randomly changing, dynamic
environment. In the model, each individual has one of the two alleles, wild type or mutant. We calculate the
fixation probability by making a proper ansatz for the logarithm of fixation probabilities. This method has been
used previously to solve the analogous problem for the Wright-Fisher model. The fixation probability is related to
the solution of a third-order algebraic equation (for the logarithm of fixation probability).We consider the strong
interference of landscape fluctuations, sampling, and selection when the fixation process cannot be described by
the mean fitness. Such an effect appears if the mutant allele has a higher fitness in one landscape and a lower
fitness in another, compared with the wild type, and the product of effective population size and fitness is large.
We provide a generalization of the Kimura formula for the fixation probability that applies to these cases. When
the mutant allele has a fitness (dis-)advantage in both landscapes, the fixation probability is described by the
An age-structured bioeconomic model, which is completely continuous in age and time, is developed in order to compare with traditional discrete models. Both types have advantages and disadvantages. The continuous framework complements discrete models as it allows for deeper and more transparent analytical study and leads to analytical results that would be difficult to achieve within a discrete framework. To make the model realistic, a nonlinear recruitment function is introduced and steady state solutions and constant-effort optimal fishing are studied analytically. In addition, the framework has been used for numerical analysis. Simulations are used to investigate how optimal harvesting patterns vary with parameter values.
One of the recent major steps towards 5G cellular systems is standardization of 5G New Radio (NR) operatingin the millimeter wave (mmWave) frequency band. This radio access technology (RAT) will potentially provideextraordinary rates at the access interface enabling the set of new bandwidth-greedy applications. However,the blockage of the line-of-sight (LoS) path between 3GPP NR access point (AP) and the user equipment (UE)is known to drastically degrade the performance of the NR communication links thus leading to potentialoutage conditions. Although the problem of characterizing LoS blockage process has been addressed in therecent literature, the proposed models are mostly limited to stationary locations of APs and UE. In our study,we characterize properties of the LoS blockage process under simultaneous mobility of both blockers and UE.The model is then extended to the cases of Poisson AP deployment, multi-connectivity, and mobility of APrepresenting ‘trilateral’ (three-sided) mobility model. We also specify a Markov-based model of the blockageprocess that can be efficiently used in both system level simulations and analytical analysis of 3GPP NR systems.Using this model we demonstrate how to derive various metrics of interest including (i) ,fraction of time inblockage, (ii) SNR and capacity process dynamics, (iii) probability that at time𝑡UE is at the blockage ornon-blockage state, (iv) mean and distribution of time to an outage.