bluuebunny/crossref_metadata_2025 huggingface dataset:
Ranking of Sustainable Medical Tourism Destinations in Iran: An Integrated Approach Using Fuzzy SWARA-PROMETHEE
Authors: Ghasemi Peiman , Mehdiabadi Amir , Spulbar Cristi , Birau Ramona
Published: January 2021

Today, medical tourism is one of the fastest growing sectors of the tourism industry around the world. Medical tourism can contribute to the sustainable development and economic dynamism of countries. Therefore, in this study, we prioritize the world’s leading countries in medical tourism for Iranians. First, five main criteria and 20 sub-criteria were selected, which are the reasons for choosing a country as a medical tourism destination. In this paper a combined fuzzy SWARA-PROMETHEE approach was used to prioritize tourism destinations. The acronym PROMETHEE stands for Preference Ranking Organization Method for Enrichment Evaluation method and represents an useful MCDA (Multi-Criteria Decision Analysis) tool. On the other hand, SWARA acronym means Step-wise Weight Assessment Ratio Analysis. The criteria were weighted using the fuzzy SWARA approach. In the following, using the PROMETHEE approach, we prioritized eight countries as tourism destinations, then we identified criteria related to sustainability of medical tourism destinations and prioritized medical tourism destinations using these criteria as the contributions of this paper. The weights obtained for criteria “Abilities of skilled staff,” “Applied medical equipment,” “Marketing capability,” “Type of service provided,” and “Application of information and communications technology” were 0.176, 0.232, 0.108, 0.395, and 0.089, respectively. The results show that medical tourism destination priorities for Iranians are India (Phi = 0.1396), Malaysia (Phi = 0.1128), Panama (Phi = 0.0976), Mexico (Phi = 0.0790), Singapore (Phi = 0.0096), Taiwan (Phi = −0.0442), Brazil (Phi = −0.1747), and Costa Rica (Phi = −0.2196), respectively. Negative Phi values indicate below average performance of those countries and positive Phi values indicate above average performance of those criteria. The results indicate that countries with negative Phi values should be strengthened relative to the improvement of some criteria.
Exploring Solutions to Improve the Evaluation of Development of Rural Villages: A Case Study of the Application of the Evaluation for the Construction of Beautiful Villages (ECBV) in a Village in South China
Authors: Liu Chenxi , Wang Fan , Gao Xihong , Smith Harry
Published: January 2021

Eco-village development has been considered by the Chinese central government as part of its rural revitalisation campaign and it is seen as a crucial/main solution to the increasingly serious rural issues caused by urban–rural inequality. A significant number of eco-villages are being or will be developed with government leadership and support under the guidance of a corresponding assessment. However, the latest Chinese eco-village assessment, the Evaluation for the Construction of Beautiful Villages (ECBV), has been found to have limitations related to the assessment process, method, and indicators, meaning that it cannot be used to perform a balanced evaluation of the social, economic, and environmental aspects of an eco-village. As assessing an eco-village is as essential as building it, it has become necessary to balance the criteria and improve the ECBV assessment so that it can review existing achievements, guide further development, and ensure better outcomes. Thus, this paper aims to: (1) identify the limitations of ECBV through a case study of a carefully selected Chinese eco-village, Zhenghu Village, by repeating the assessment process and analysing the assessment results, and (2) propose three possible solutions to improve the assessment by applying a revised ECBV assessment, the components of which are adopted and revised from an internationally recognised sustainability assessment, the Sustainable Development Indicators (SDIs). The results of the case study confirm the limitations of the ECBV assessment. Besides, the research outcomes of these three possible solutions can improve ECBV assessment and also provide ideas for the improvement of other existing assessment methods. Moreover, other developing countries may apply the research process and method introduced in this paper to formulate or improve their own eco-village assessments.
Extracting Stops from Spatio-Temporal Trajectories within Dynamic Contextual Features
Authors: Wu Tao , Shen Huiqing , Qin Jianxin , Xiang Longgang
Published: January 2021

Identifying stops from GPS trajectories is one of the main concerns in the study of moving objects and has a major effect on a wide variety of location-based services and applications. Although the spatial and non-spatial characteristics of trajectories have been widely investigated for the identification of stops, few studies have concentrated on the impacts of the contextual features, which are also connected to the road network and nearby Points of Interest (POIs). In order to obtain more precise stop information from moving objects, this paper proposes and implements a novel approach that represents a spatio-temproal dynamics relationship between stopping behaviors and geospatial elements to detect stops. The relationship between the candidate stops based on the standard time–distance threshold approach and the surrounding environmental elements are integrated in a complex way (the mobility context cube) to extract stop features and precisely derive stops using the classifier classification. The methodology presented is designed to reduce the error rate of detection of stops in the work of trajectory data mining. It turns out that 26 features can contribute to recognizing stop behaviors from trajectory data. Additionally, experiments on a real-world trajectory dataset further demonstrate the effectiveness of the proposed approach in improving the accuracy of identifying stops from trajectories.
Event Matching Classification Method for Non-Intrusive Load Monitoring
Authors: Azizi Elnaz , Beheshti Mohammad T. H. , Bolouki Sadegh
Published: January 2021

Nowadays, energy management aims to propose different strategies to utilize available energy resources, resulting in sustainability of energy systems and development of smart sustainable cities. As an effective approach toward energy management, non-intrusive load monitoring (NILM), aims to infer the power profiles of appliances from the aggregated power signal via purely analytical methods. Existing NILM methods are susceptible to various issues such as the noise and transient spikes of the power signal, overshoots at the mode transition times, close consumption values by different appliances, and unavailability of a large training dataset. This paper proposes a novel event-based NILM classification algorithm mitigating these issues. The proposed algorithm (i) filters power signals and accurately detects all events; (ii) extracts specific features of appliances, such as operation modes and their respective power intervals, from their power signals in the training dataset; and (iii) labels with high accuracy each detected event of the aggregated signal with an appliance mode transition. The algorithm is validated using REDD with the results showing its effectiveness to accurately disaggregate low-frequency measured data by existing smart meters.
On the Arcsecant Hyperbolic Normal Distribution. Properties, Quantile Regression Modeling and Applications
Authors: Korkmaz Mustafa Ç. , Chesneau Christophe , Korkmaz Zehra Sedef
Published: January 2021

This work proposes a new distribution defined on the unit interval. It is obtained by a novel transformation of a normal random variable involving the hyperbolic secant function and its inverse. The use of such a function in distribution theory has not received much attention in the literature, and may be of interest for theoretical and practical purposes. Basic statistical properties of the newly defined distribution are derived, including moments, skewness, kurtosis and order statistics. For the related model, the parametric estimation is examined through different methods. We assess the performance of the obtained estimates by two complementary simulation studies. Also, the quantile regression model based on the proposed distribution is introduced. Applications to three real datasets show that the proposed models are quite competitive in comparison to well-established models.
A Type of Time-Symmetric Stochastic System and Related Games
Authors: Zhu Qingfeng , Shi Yufeng , Wen Jiaqiang , Zhang Hui
Published: January 2021

This paper is concerned with a type of time-symmetric stochastic system, namely the so-called forward–backward doubly stochastic differential equations (FBDSDEs), in which the forward equations are delayed doubly stochastic differential equations (SDEs) and the backward equations are anticipated backward doubly SDEs. Under some monotonicity assumptions, the existence and uniqueness of measurable solutions to FBDSDEs are obtained. The future development of many processes depends on both their current state and historical state, and these processes can usually be represented by stochastic differential systems with time delay. Therefore, a class of nonzero sum differential game for doubly stochastic systems with time delay is studied in this paper. A necessary condition for the open-loop Nash equilibrium point of the Pontriagin-type maximum principle are established, and a sufficient condition for the Nash equilibrium point is obtained. Furthermore, the above results are applied to the study of nonzero sum differential games for linear quadratic backward doubly stochastic systems with delay. Based on the solution of FBDSDEs, an explicit expression of Nash equilibrium points for such game problems is established.
Picture Fuzzy Geometric Aggregation Operators Based on a Trapezoidal Fuzzy Number and Its Application
Authors: Luo Minxia , Long Huifeng
Published: January 2021

The picture fuzzy set is a generation of an intuitionistic fuzzy set. The aggregation operators are important tools in the process of information aggregation. Some aggregation operators for picture fuzzy sets have been proposed in previous papers, but some of them are defective for picture fuzzy multi-attribute decision making. In this paper, we introduce a transformation method for a picture fuzzy number and trapezoidal fuzzy number. Based on this method, we proposed a picture fuzzy multiplication operation and a picture fuzzy power operation. Moreover, we develop the picture fuzzy weighted geometric (PFWG) aggregation operator, the picture fuzzy ordered weighted geometric (PFOWG) aggregation operator and the picture fuzzy hybrid geometric (PFHG) aggregation operator. The related properties are also studied. Finally, we apply the proposed aggregation operators to multi-attribute decision making and pattern recognition.
Strong-Interaction Matter under Extreme Conditions from Chiral Quark Models with Nonlocal Separable Interactions
Authors: Gómez Dumm Daniel , Carlomagno Juan Pablo , Scoccola Norberto N.
Published: January 2021

We review the current status of the research on effective nonlocal NJL-like chiral quark models with separable interactions, focusing on the application of this approach to the description of the properties of hadronic and quark matter under extreme conditions. The analysis includes the predictions for various hadron properties in vacuum, as well as the study of the features of deconfinement and chiral restoration phase transitions for systems at finite temperature and/or density. We also address other related subjects, such as the study of phase transitions for imaginary chemical potentials, the possible existence of inhomogeneous phase regions, the presence of color superconductivity, the effects produced by strong external magnetic fields and the application to the description of compact stellar objects.
Requirements for Model-Based Development Process Design and Compliance of Standardized Models
Authors: Shaked Avi , Reich Yoram
Published: January 2021

The planning of system development efforts is crucial to the successful realization of projects. However, development planning typically lacks systematic, engineering discipline, and consequently risks project and business success. Model-based process design is a potential information systems approach to addressing the increasing complexity of such planning. We characterize the ontology of development process design, based on real-life observations and scientific publications. We then synthesize the required ontology with the desirable characteristics of models, and derive key requirements for model-based development process design. Next, these requirements are used to evaluate the adequacy of three prominent, standardized model-based process design approaches—BPMN, OPM and SPEM. The findings reveal that the surveyed models are a partial fit, and do not promote sound process design. Finally, by generalizing the categorical evaluation results, possible root causes for the identified inadequacies are proposed. A new model design, which should rely on the formulated requirements set, is called for, in pursuit of a wider adoption of model-based design paradigms and better information systems realization to support the development of complex systems.
Quantum String Cosmology
Authors: Gasperini Maurizio
Published: January 2021

We present a short review of possible applications of the Wheeler-De Witt equation to cosmological models based on the low-energy string effective action, and characterised by an initial regime of asymptotically flat, low energy, weak coupling evolution. Considering in particular a class of duality-related (but classically disconnected) background solutions, we shall discuss the possibility of quantum transitions between the phases of pre-big bang and post-big bang evolution. We will show that it is possible, in such a context, to represent the birth of our Universe as a quantum process of tunneling or “anti-tunneling” from an initial state asymptotically approaching the string perturbative vacuum.
In Vitro Infection with Hepatitis B Virus Using Differentiated Human Serum Culture of Huh7.5-NTCP Cells without Requiring Dimethyl Sulfoxide
Authors: Le Connie , Sirajee Reshma , Steenbergen Rineke , Joyce Michael A. , Addison William R. , Tyrrell D. Lorne
Published: January 2021

An estimated two billion people worldwide have been infected with hepatitis B virus (HBV). Despite the high infectivity of HBV in vivo, a lack of easily infectable in vitro culture systems hinders studies of HBV. Overexpression of the sodium taurocholate co-transporting polypeptide (NTCP) bile acid transporter in hepatoma cells improved infection efficiency. We report here a hepatoma cell culture system that does not require dimethyl sulfoxide (DMSO) for HBV infection. We overexpressed NTCP in Huh7.5 cells and allowed these cells to differentiate in a medium supplemented with human serum (HS) instead of fetal bovine serum (FBS). We show that human serum culture enhanced HBV infection in Huh7.5-NTCP cells, e.g., in HS cultures, HBV pgRNA levels were increased by as much as 200-fold in comparison with FBS cultures and 19-fold in comparison with FBS+DMSO cultures. Human serum culture increased levels of hepatocyte differentiation markers, such as albumin secretion, in Huh7.5-NTCP cells to similar levels found in primary human hepatocytes. N-glycosylation of NTCP induced by culture in human serum may contribute to viral entry. Our study demonstrates an in vitro HBV infection of Huh7.5-NTCP cells without the use of potentially toxic DMSO.
Use of Lignite as a Low-Cost Material for Cadmium and Copper Removal from Aqueous Solutions: Assessment of Adsorption Characteristics and Exploration of Involved Mechanisms
Authors: Jellali Salah , Azzaz Ahmed , Jeguirim Mejdi , Hamdi Helmi , Mlayah Ammar
Published: January 2021

Lignite, as an available and low-cost material, was tested for cadmium (Cd) and copper (Cu) removal from aqueous solutions under various static experimental conditions. Experimental results showed that the removal efficiency of both metals was improved by increasing their initial concentrations, adsorbent dosage and aqueous pH values. The adsorption kinetic was very rapid for Cd since about 78% of the totally adsorbed amounts were removed after a contact time of only 1 min. For Cd and Cu, the kinetic and isothermal data were well fitted with pseudo-second order and Freundlich models, respectively, which suggests that Cd/Cu removal by lignite occurs heterogeneously on multilayers surfaces. The maximum Langmuir’s adsorption capacities of Cd and Cu were assessed to 38.0 and 21.4 mg g−1 and are relatively important compared to some other lignites and raw natural materials. Results of proximate, scanning electron microscopy/energy dispersive X-ray spectroscopy (SEM/EDS), Fourier transform infrared spectroscopy (FTIR) and X-Ray diffraction (XRD) showed that the removal of these metals occurs most likely through a combination of cation exchange and complexation with specific functional groups. The relatively high adsorption capacity of the used lignite promotes its future use as a low cost material for Cd and Cu removal from effluents, and possibly for other heavy metals or groups of pollutants.
FINANCIAL ASPECTS OF THE POLITICAL CRISIS IN HONG KONG
Authors: Cheskidov B.M.
Published: January 2021

In article the interrelation of current political crisis in the Special administrative region of the People’s Republic of China Siangtan (Hong Kong) with change of its importance for transit of the capital from continental China in offshore jurisdictions and its return as part of transformation of a situation in the People’s Republic of China is considered. The conclusion about the serious financial reasons for development of crisis in the direction of strengthening of separatist sentiments in Hong Kong is drawn and related aggravation of a military-political situation.
BUDGET RULE AND TAX MANEUVER IN THE DESTRUCTIVE LIBERALIST CONCEPT OF THE BUDGET THREE-YEAR PLAN — 2021–2023
Authors: Kapkanshchikov S.G.
Published: January 2021

The article reveals the conceptual defects of the designed and currently law-supported budget three-year plan — 2021–2023. Among them, the author includes the authorities’ desire to continue using a rigid budget rule and the implementation of tax maneuvers. The author argues that there is a direct link between the effects of the budget rule and deceleration of the GDP growth in Russia. Overcoming the country-specific recession and the problem of excessive focus of the Russian economy on natural resource extraction should arguably be driven by an increased share of the government spending on its diversification, which requires a substantial relaxation or cancelling of the budget rule. The author concludes that the tax maneuver presents a barrier to curing the «Dutch disease» of the country’s economy and therefore requires serious corrections while preserving excise duties on oil and gas exports and to the contrary, reducing the natural resource extraction tax rates.
A system of semi-natural modeling using Smart-technologies
Authors:   Institute of Cybernetics of VM Glushkova NAS of Ukraine, Yakovlev Yu.S. , Tymashov O.O. ,   Institute of Cybernetics of VM Glushkova NAS of Ukraine, Yelysieva O.V. ,   Institute of Cybernetics of VM Glushkova NAS of Ukraine, Kurzantseva L.I. ,   Institute of Cybernetics of VM Glushkova NAS of Ukraine
Published: January 2021

A new type of semi-natural modeling system is proposed. This type differs from the existing ones by the presence of a human-machine Smart interface, that maintains a comfortable environment for the user due to sensors of various functional purposes, providing opportunities for conducting experiments and other user actions, as well as a subsystem of converters and switching circuits that have its functionality, which generally improves the performance and efficiency of the system. The main components of the proposed system of semi-natural modeling and the workstation of the experimenter, as well as the block diagram of the block of converters and the switching circuit are presented. Modeling is used to study the designed automatic system in order to determine its reliability, stability, sensitivity and behavior in the event of failure of certain elements, under various, including emergency, effects. In addition, in the process of semi-natural modeling, the advantages of mathematical and natural modeling are successfully combined, and an optimal interaction between computational and natural experiments can be achieved. The use of a computer with all the attributes creates the necessary prerequisites for checking the parameters within various limits. Test verification complements the entire process that allows you to find errors in the computational process, while the content of the model adequately reflects the object itself, and the sequential (parallel) build-up of models and their processing provides the following features: reducing the time and cost of testing, increasing the reliability and survivability of the designed objects and other quality criteria typical for semi-natural modeling. Furthermore, great importance is attached to the use of systems with ring buses, which greatly increases the performance of the system due to parallelization in each sector of the ring bus.
New finite integral transform for the Laplace equation in an arbitrary domain
Authors:   National Technical University ", Berdnyk M.G. ,   Dnieper Polytechnic"
Published: January 2021

Reliability, survivability, as well as the optimal operating mode of operation of the supercomputer will depend on the architecture and efficiency of the cooling system of the hot components of the supercomputer. That is why the number of problems, of great theoretical and practical interest, is the problem of studying the temperature fields arising in elements of arbitrary configuration, cooling a supercomputer. To solve this class of heat conduction problems, the method of finite integral transformations turned out to be the most convenient. This article is the first to construct a new finite integral transformation for the Laplace equation in an arbitrary domain bounded by several closed piecewise-smooth contours. An inverse transformation formula is given. Finding the core of the constructed new finite integral transformation by the finite element method in the Galerkin form for simplex first-order elements reduces to solving a system of algebraic equations. To test the operability of the new integral transformation, calculations were carried out of solutions of the boundary value problem for the Laplace equation obtained using the developed new integral transformation and the well-known analytical solution. The results of comparison the calculations of the solution of the Laplace equation are presented. In the case of a square with a side length equal to one and on one side of the square, the temperature is unity, and on the other, the temperature is zero, with a well-known analytical solution and a solution obtained using the new integral transformation. These results were obtained for 228 simplex first-order elements and 135 nodes. The maximum deviation modulo of these solutions is 0,096, the mathematical expectation of deviations is 0,009, and the variance of the type is 0,001. The developed integral transformation makes it possible to obtain a solution to complex boundary value problems of mathematical physics.
Analysis of the possibilities of self-adaptive neural networks with search behavior in agro-ecological systems
Authors:   Kyiv Cooperative Institute of Business and Law, Brovarets O.O. , Chovniuk Yu.V. ,   National University of Life and Environmental Sciences of Ukraine
Published: January 2021

The complexity of environmental problems facing modern science in connection with the deterioration of the environmental situation on the planet and the growing dynamics of ongoing processes are con-stantly growing (this primarily concerns agro-ecological systems). At the same time, the flexibility and accuracy of ecological models created by traditional mathematical methods, as well as the speed of their construction, in practice often does not live up to expectations. The same can be said about the engi-neering management of agro-ecological facilities. Among the most flexible and effective ways to solve such problems, neural network models and neurocomputers are highlighted. However, the concepts un-derlying the construction of modern neural network training algorithms impose serious limitations on the potential range of application of neuroinformatics achievements in solving environmental problems of agricultural systems. The number of scientific publications with radically new results is steadily decreasing and existing developments are beginning to “spread” across applications. The manifestation of such trends indicates that the main potential of the ideas that caused the next progress in this most important bionic direction and the creation of the 6th generation of computers – neurocomputers are exhausted. Modern advances in neuroinformatics, based on the use of supervisor algorithms, are mainly associated with the possibility of using hidden layers of neurons (not connected to the input and output), which provided high adaptive capabilities of neural networks, and universality based on the ability to train a neural network to solve a precisely posed problem. In this paper, the main limitations inherent in modern approaches to limiting neural networks are indicated, and the concep of constructing a new type of training neural network and network algorithms is proposed. Some non-traditional oppor-tunities provided by the proposed concept are described. The conceptual foundations of the development of the neuroinformation system for controlling the electrotechnical complex of the information and technical system for local operational monitoring are proposed.
Symbiosis of Distributed Simulation and Control under Spatial Grasp Technology
Authors:   Institute of Mathematical Machines and Systems Problems of the Ukraine National Academy of Science, Sapaty P.S.
Published: January 2021

We are witnessing rapidly growing world dynamics caused by climate change, military, religious and ethnic conflicts, terrorism, refugee flows and weapons proliferation, political and industrial restructuring too. Dealing with frequently emerging crises may need rapid integration of scattered heterogeneous resources into capable operational forces pursuing goals which may not be known in advance. Proper understanding and managing of unpredictable and crisis situations may need their detailed simulation at runtime and even ahead of it. The current paper aims at deep integration, actually symbiosis, of advanced simulation with live system control and management, which can be effectively organized in nationwide and world scale. It will be presenting the latest version of Spatial Grasp Technology (SGT) which is not based on traditional communicating parts or agents, as usual, but rather using self-spreading, self-replicating, and self-modifying higher-level code covering and matching distributed systems at runtime while providing global integrity, goal-orientation, and finding effective solutions. These spatial solutions are often hundreds of times shorter and simpler than with other approaches due to special recursive scenario language hiding traditional system management routines inside its parallel and distributed interpretation. The paper provides basics for deep integration, actually symbiosis, of different worlds allowing us to unite advanced distributed simulation with spatial parallel and fully distributed control, while doing all this within the same high-level and very simple Spatial Grasp formalism and its basic Spatial Grasp Language (SGL). It will also mention various SGT applications including economy, ecology, space research & conquest and security, where effective symbiosis of distributed interactive simulation with live control and management may provide a real breakthrough. SGL can be quickly implemented even within standard university environments by a group of system programmers, similar to its previous versions in different countries under the author’s supervision. The technology can be installed in numerous copies worldwide and deeply integrated with any other systems, actually acquiring unlimited power throughout the world.
The basic arithmetic operations on fuzzy numbers and new approaches to the theory of fuzzy numbers under the classification of space images
Authors:   Earth Aerospace Research Center Institute of Geological Sciences National Academy of Sciences of Ukraine, Alpert S.I.
Published: January 2021

Classification in remote sensing is a very difficult procedure, because it involves a lot of steps and data preprocessing. Fuzzy Set Theory plays a very important role in classification problems, because the fuzzy approach can capture the structure of the image. Most concepts are fuzzy in nature. Fuzzy sets allow to deal with uncertain and imprecise data. Many classification problems are formalized by using fuzzy concepts, because crisp classes represent an oversimplification of reality, leading to wrong results of classification. Fuzzy Set Theory is an important mathematical tool to process complex and fuzzy da-ta. This theory is suitable for high resolution remote sensing image classification. Fuzzy sets and fuzzy numbers are used to determine basic probability assignment. Fuzzy numbers are used for detection of the optimal number of clusters in Fuzzy Clustering Methods. Image is modeled as a fuzzy graph, when we represent the dissimilitude between pixels in some classification tasks. Fuzzy sets are also applied in different tasks of processing digital optical images. It was noted, that fuzzy sets play an important role in analysis of results of classification, when different agreement measures between the reference data and final classification are considered. In this work arithmetic operations of fuzzy numbers using alpha-cut method were considered. Addition, subtraction, multiplication, division of fuzzy numbers and square root of fuzzy number were described in this paper. Moreover, it was illustrated examples with different arithmetic operations of fuzzy numbers. Fuzzy Set Theory and fuzzy numbers can be applied for analysis and classification of hyperspectral satellite images, solving ecological tasks, vegetation clas-sification, in remote searching for minerals.
Information interaction in disparate information systems of situational centers
Authors:   Institute of Mathematical Machines and Systems Problems of the Ukraine National Academy of Science, Oksanych I.M. , Grechaninov V.F. ,   Institute of Mathematical Machines and Systems Problems of the Ukraine National Academy of Science, Lopushansky A.V. ,   Institute of Mathematical Machines and Systems Problems of the Ukraine National Academy of Science
Published: January 2021

The article is devoted to the problem of information exchange between automated systems of situational centers (SC) of the government authorities of the Security and Defence Sector (SDS) of Ukraine. The prob-lem is extremely topical today, since in the event of nationwide threats (military intervention, terrorism, emergencies), the SDS should work as a single well-coordinated mechanism. Therefore, the creation of the SC SDS system and the establishment of information exchange between them is a prerequisite for this. The paper assesses the most common types of data integration in information systems (IS), such as data ware-houses, data federation and service-oriented approach. As the most modern approach to information inter-action of disparate ISs, a service-oriented approach is proposed. It is noted that for data exchange it is inappropriate to get access to “other” IS and independently search for the necessary information there. Alternatively, it is proposed to isolate the data exchange subject area (SbA) from the IS subject areas of various SCs and to determine the topics necessary for the exchange. Next, for each topic, to build a the-matic view of grouped, analytical data by the type of data mart. Such views will become a data source for the corresponding services in SOA and can be used in Publish/Subscribe and Request/Response modes. The paper considers a method and proposes an algorithm for the interaction of ISs of disparate SCs based on the use of the ontology of SbA data exchange and SOA. The MIP4-IES family of data exchange specifi-cations of the NATO Multilateral Interoperability Program (MIP) is taken as an example. On the basis of legislative documents in the field of emergency response, an ontology of data exchange between the IS of the SC in response to emergency situations has been built. Examples of topics and thematic views are given that can be constructed on the basis of the constructed SbA ontology for data exchange.
nformation system for dispatcherization of territorial municipal electric transport
Authors:   National University “Yuri Kondratyuk Poltava Polytechnic”, Lyakhov O.L. , Cherevatenko O.V. ,   National Aerospace University “Kharkiv Aviation Institute”, Shostak I.V. ,   National Aerospace University “Kharkiv Aviation Institute”
Published: January 2021

The paper deals with the topical problem of the large cities development – to improve the quality of ser-vice for the population by electric municipal transport and to solve this problem by informatization of the management system. Currently, various information systems are widely used to support the work of dispatch services. The paper provides an overview of such systems. It is shown that dispatchers are pro-vided with real-time data on the technical condition and position of transport units on the route. Thus, the main means of ensuring the high-quality work of urban transport by dispatch services is the drawing up of traffic schedules based on some statistical data and heuristics, monitoring the implementation of this schedule and making decisions based on these data. At the same time, data on the current value of passenger traffic are not known and are not taken into account. Passenger traffic is a value of a complex nature, the current value of which may differ significantly from the provided traffic schedule. The paper provides data of model studies on real data (for Kharkiv city). It is shown that in large cities the proba-bility of denied boarding can be critically high even with small deviations in occupying and intervals from the provided values by the traffic schedule. The concept of an information system is proposed, which in real time visualizes on the dispatcher’s screen not only the position, but also the degree of loading of transport units on the route. It is proposed to determine the occupancy rate of the vehicle by the power consumed by the electric motors while driving. The fundamental possibility of such approach is shown on the example of simple model. It is indicated how this model can be improved as well. It is essential for the practical implementation of the system that modern trams are equipped with all the necessary devices: a speedometer, an inclinometer, a wattmeter and GPS sensors. The basic principles of building the architecture of such an information system are given. The current data of the devices is read and sent to the server for processing. The processed data is divided into two streams. One stream is intended for online visualization of the situation on the routes on the dispatcher’s monitor. Another stream is data that is transferred to the repository for storage and further processing.
Mathematical models of stand deformation for ACS TP for plate rolling mills
Authors:   Institute of Mathematical Machines and Systems Problems of the Ukraine National Academy of Science, Ievlev M.G. , Grabovsky G.G. ,   Kyiv Institute of Automation
Published: January 2021

One of the most important indicators of the plate mill operation is the accuracy of implementation of the specified geometric dimensions of rolled products. To a large extent, this indicator depends on the accuracy of predicting rolling parameters using mathematical models. The mathematical model of the stand deformation, along with the rolling force model, is the most important in controlling the geomet-ric dimensions of rolled products on thick-plate mills: thickness, width, profile and flatness of the sheet. The paper discusses the well-known methods of calculating the deformation of the stand elements, it is shown that they give significantly different results and are suitable only for a qualitative assessment of the deformation of the stand, and those of them that have sufficient accuracy are cumbersome and un-suitable for implementation in control computer used in the automation of rolling processes in real time. From the above, it follows that the most correct method for obtaining a model of stand defor-mation suitable for use in ACS TP is experimental. The paper considers the stand deformation model developed by the authors, obtained by conducting “active” experiments with minimal disruption of the technological process. The experimental technique provides for the redistribution of reductions between passes during rolling of various billets in the entire range of widths rolled on the mill. Another method for determining the deformation characteristics of the stand, developed by the authors, is considered and makes it possible to determine these characteristics in the process of automatic rolling control without redistributing reductions between passes. The mathematical models of the stand deformation described in the paper, developed by the authors, were used in a number of automated control systems for rolling modes on the rolling mill.
Systemic Overview of Microstrip Patch Antenna’s for Different Biomedical Applications
Authors: Arora Govind , Maman Paramjot , Sharma Ameya , Verma Nitin , Puri Vivek
Published: January 2021

Timely diagnosis is the most important parameter for thedetection and hindrance with tissues (infected). Many conventional techniques are used for the determinationof the chronic disease like MRI, X-ray, mammography, ultrasound and other diagnosing methods. Nevertheless, they have some limitations. We epitomizebetween 4 and 34 % of all carcinogenic tissues are lacking because of weak,in adequate malignant/benign cancer tissue on the contrary. So,an effective alternative method is the validconcern in the field of medical right now. Imaging with the help of patch antenna to detect chronic disease like breast cancer, oxidative stress syndrome etc. it has been proved to be a suitable potential method, and there are many works in this area. All materials have different conductivity and permittivity. With the help of these antennas, a 3D tissue structure which has different conductivity and permittivity is modelled in high-frequency structure simulator (HFSS)through Finite Element Method (FEM) which resolves electromagnetic field values and a microstrip patch antenna operation process. As compared with conventional antennas, micro strip patch antennas have enhanced benefits and better prospects. An integrated Antenna plays an important or crucial role for supporting many applications in biomedical, commercial and in military fields. The Antenna designed for these applications should be wideband, not sensitive to the human body. In this present review,the precise application of the Antenna in different biomedical aspects is considered. Furthermore, the author has also discussed the analytical results using simulation models and experimental results for some of the significantdisease.
Radachlorin-Containing Microparticles for Photodynamic Therapy
Authors: Krechetov Sergey Petrovich , Miroshkina Anastasia Maksimovna , Yakovtseva Maria Nikolaevna , Mochalova Elizaveta Nikitichna , Babenyshev Andrey Vadimovich , Maslov Ivan Vladimirovich , Loshkarev Alexander Alexandrovich , Krasnyuk Ivan Ivanovich
Published: January 2021

Purpose: Reducing the undesirable systemic effect of photodynamic therapy (PDT) can be achieved by incorporating a photosensitizer in microparticles (MPs). This study is devoted to the preparation of biocompatible biodegradable MPs with the inclusion of the natural photosensitizer Radachlorin (RС) and an assessment of the possibility of their use for PDT. Methods: RC-containing MPs (RС MPs) with poly(lactic-co-glycolic acid) copolymer (PLGA) matrix were prepared by a double emulsion solvent evaporation methods. The size and morphology of RC MPs were surveyed using scanning electron microscopy, confocal laser scanning microscopy, and dynamic light scattering. The content of RC, its release from RC MPs, and singlet oxygen generation were evaluated by the optical spectroscopy. Cellular uptake and cytotoxic photodynamic effect of RC MPs were investigated with in vitro assays. Results: The average diameter of the prepared RC MPs was about 2-3 μm. The RC MPsprepared by the water/oil/oil method had a significantly higher inclusion of RC (1.74 μg/mg) then RC MPs prepared by the water/oil/water method (0.089 μg/mg). Exposure of the prepared RC MPs to PDT light radiation was accompanied by the singlet oxygen generation and a cytotoxic effect for tumor cells. The release of the RC from the RC MPs was prolonged and lasted at least two weeks. Conclusion: PLGA RC MPs were found to cause a photoactivated cytotoxic effect for tumor cells and can be used for local application in PDT of tumors.
Novel Methotrexate-Ciprofloxacin Loaded Alginate-Clay Based Nanocomposite as Anticancer and Antibacterial Co-Drug Delivery System
Authors: Mahkam Mehrdad , Bazmi Zeynabad Fatemeh , Alizadeh Effat , Rahimi Mahdi , Rahimi Fariborz , Salehi Roya
Published: January 2021

Purpose: In last decades, by increasing multi-drug resistant microbial pathogens an urgent demand was felt in the development of novel antimicrobial agents. Methods: Promising nanocomposites composed of clay/alginate/imidazolium-based ionic liquid, have been developed via intercalation of calcium alginate and ionic liquid by ion-exchange method. These tailored nanocomposites were used as nanocarriers to simultaneously deliver methotrexate (MTX), and ciprofloxacin (CIP), as anticancer and antibacterial agents, respectively to MCF-7 breast cancer cells. Nanocomposites were fully characterized by SEM, XRD, FTIR spectroscopy, and TGA methods. The in vitro antimicrobial potential of the mentioned nanocomposites in free and dual-drug loaded form was investigated on Pseudomonas aeruginosa and Escherichia coli bacteria. The antitumor activity of nano-formulations was evaluated by both MTT assay and cell cycle arrest. Results: The dual drug-loaded nanocomposites with exceptionally high loading efficiency (MTX: 99 ±0.4% and CIP: 98 ±1.2%) and mean particle size of 70 nm were obtained with obvious pH-responsive MTX and CIP release (both drugs release rate was increased at pH 5.8 compared to 7.4). The antibacterial activity of CIP-loaded nanocomposites was significantly higher in comparison with free CIP (p <0.001). The antitumor activity results revealed that MTX cytotoxicity on MCF-7 cells was significantly higher in nano-formulations compared to free MTX (p <0.001). Both MTX-loaded nanocomposites caused S-phase arrest in MCF-7 cells compared to non-treated cells (P˂0.001). Conclusion: Newly developed smart nanocomposites are potentially effective pH-sustainable delivery systems for enhanced tumor therapy.
Assessment of E. coli Expression System for Overexpression of Active Recombinant Ocriplasmin
Authors: Baghban Roghayyeh , Farajnia Safar , Ghasemi Younes , Mortazavi Mojtaba , Samadi Naser , Zarghami Nosratollah
Published: January 2021

Purpose: Ocriplasmin (Jetrea TM) is a FDA approved recombinant enzyme utilized in the treatment of vitreomacular adhesion (VMA). This is a recombinant C-terminal fragment of human plasmin produced using yeast Pichia pastoris. Since ocriplasmin does not contain any O-or N-glycosylation or some other post-translational modifications, bacterial expression systems such as Escherichia coli could be considered as an economical host for recombinant expression. In the present study, we aimed to evaluate the efficiency of E. coli expression system for high-level expression of recombinant ocriplasmin. Methods: The gene coding for ocriplasmin was cloned and expressed in E. coli BL21. The bacterial cells were cultured on large scale and the expressed recombinant protein was purified using Ni-NTA chromatography. Refolding of denatured ocriplasmin to active enzyme was carried out by the stepwise removal of denaturant. The identity of recombinant ocriplasmin was confirmed using western blotting and ELISA assays. The presence of the active ocriplasmin was monitored by the hydrolytic activity assay against the chromogenic substrate S-2403. Results: The final yield of E. coli BL21-produced ocriplasmin was approximately 1 mg/mL which was greater than that of P. pastoris. Using western blotting and ELISA assay, the identity of recombinant ocriplasmin was confirmed. The hydrolysis of chromogenic substrate S-2403 verified the functional activity of E. coli produced ocriplasmin. Conclusion: The results of this study indicated that E. coli could be used for high level expression of ocriplasmin. Although the recombinant protein was expressed as inclusion body, the stepwise refolding leads to the biologically active proteins.
A Novel Approach for Development of Intraocular Biodegradable Ranibizumab Implant: A Solution for Stability of Protein Activity
Authors: Dadgar Pakdel Fatemeh , Mirshahi Ahmad , Zahedi Payam , Mohammad Kazem , Hemmati Farkhondeh , Dadgar Pakdel Javad , Nicknam Mohammad Hossein , Abedin Dorkoosh Farid
Published: January 2021

Purpose: Ranibizumab is a monoclonal antibody fragment, targeting all isoforms of vascular endothelial growth factor A (VEGF-A), a protein involved in angiogenesis. It is used to treat age-related macular degeneration (AMD), retinal vein occlusion (RVO), and diabetic macular edema (DME), which are associated with blindness worldwide. However, proper treatment can decrease the loss of vision in about 90% of patients. Because of poor drug uptake in topical therapy and several adverse side effects of systemic irregularities and intravitreal injections, sustained-release drug delivery systems are more suitable for treatment. However, there are many challenges in the development of these systems due to the loss of protein activities. Methods: After drug complexation by the ion pairing method and preparation of a polymeric implant, containing the drug, the characteristics of the complexes were examined by Fourier-transform infrared spectroscopy and circular dichroism spectroscopy. The stability of antibody activity and biocompatibility of the released drug from the implant were assessed by bioassays and MTT assay, respectively. Finally, the release kinetics were investigated. Results: The bioassays showed the higher activity of the drug complex, compared to the free form, besides good biocompatibility in vitro. Also, the release data confirmed sustained and controlled release characteristics for the prepared implant. Conclusion: In this study, for the first time, we proposed a method for developing a sustained-release intraocular implant, consisting of ranibizumab by the heating method. This method allows for the industrial production of ranibizumab by extrusion and eliminates the complications related to reservoir systems.