bluuebunny/crossref_metadata_2025 huggingface dataset:
ДИСКУРСИВНЕ ПОРТРЕТУВАННЯ ТОКСИЧНИХ ПОЛІТИКІВ СПОЛУЧЕНИХ ШТАТІВ АМЕРИКИ, ВЕЛИКОЇ БРИТАНІЇ Й УКРАЇНИ (АУДІОВІЗУАЛЬНИЙ АНАЛІЗ)
Authors: ШКВОРЧЕНКО Наталія
Published: January 2022

Статтю присвячено визначенню культурно-специфічних маркерів токсичності в дискурс-портретах сучасних політиків Сполучених Штатів Америки, Великої Британії й України. Об’єкт дослідження – політичні дискурси Сполучених Штатів Америки, Великої Британії й України, предмет – культурно-специфічні (вербальні та невербальні) маркери токсичності як компоненти дискурс-портретів Дональда Трампа (Сполучені Штати Америки), Найжела Фаража (Велика Британія), Олега Ляшка (Україна). Під дискурс-портретом токсичної мовної особистості розуміємо таке дискурсивне утворення, що містить сукупність смислових, стилістичних, жанрових та комунікативних засобів, які характеризують мовленнєву манеру такої мовної особистості, поведінці якої властивий високий ступінь агресії та яка скерована на завдання моральної шкоди або дискримінацію опонента. До вербальних маркерів токсичності відносимо ідеологічні, національні, ґендерні оцінні висловлення, що принижують особистість іншої (не обов’язково присутньої) людини й завдають їй психологічної або іміджевої шкоди. Невербальні маркери токсичності поділяють на просодичні (принизливо-заступницький, істеричний, пафосний тон мовлення), жестові (розмахування руками й указівка на співрозмовника вказівним пальцем, заступницькі обійми, поплескування, дотики до рук або плечей співрозмовника) та мімічні (пихатий вираз обличчя, погляд зверху вниз, скривлений рот, розширені зіниці, надмірні кривляння) засоби оформлення вербальних експлікатів токсичності. Культурно-специфічні маркери токсичності в дискурс-портретах трьох політиків визначені актуальними для кожної із країн інформаційними контентами, як-от: расова й ґендрна дискримінація (Сполучені Штати Америки), євроскептицизм (Велика Британія), боротьба з корупцією (Україна), агресивно-емоційним типом мовців, виступам яких властива тенденція до завдання психологічної шкоди опоненту через вербальну маніпуляцію і фейкові звинувачення, а також використання агресивної невербаліки – істеричної манери говоріння, імпульсивних рухів рук, голови, тіла й надмірно активної міміки.
The peculiarities of development of consumer lending in the conditions of pandemic on the example of ZENITH Bank
Authors: Vlasova Yuliya Ashumovna , Gerzelieva Zhanneta Ilijasovna , Rogova Tatyana Mikhailovna
Published: January 2022

The consumer segment of the credit services market is undergoing complex transformations due to systemic changes in the economic space caused by the pandemic. The subject of this research development trends in the market of consumer lending in the conditions of pandemic. The object is the credit services market in the context of digitalization. The article explores the peculiarities of development of the segment of consumer lending in depository institutions. Research methodology employs the method of statistical analysis and forecasting the development of trends in the area under study. The source information includes the official statistics on the dynamics of financial sector of the Central Bank of the Russian Federation, available analytical sources and reports of ZENITH Bank. The main results lies in outlining the current trends in the development of consumer lending in the conditions of digitalization due to the pandemic. The author examines the ratio of the credit portfolio of the leading banks to the level of overdue debt, the structure of retail lending in the scope of credit portfolio, types and specificity of consumer lending products. Recommendations are formulated for stabilization of operating results of the commercial banks. Practical significance of the acquired results lies in revealing the impact of the ongoing changes upon the activity of depository institutions, attending risks, and vectors of the development of banking sector under the current conditions. The novelty consists in studying the experience of operation of medium-sized bank in crisis period, as well as in outlining the directions for improving its reliability and profitability.
Financial literacy in the digital era: new opportunities and challenges
Authors: Popova Evgeniya Mikhailovna , Nikitina Tatyana Viktorovna
Published: January 2022

Increase of access to financial services (financial inclusion) and overcoming the new digital gap are the priority task of the national governments, which entails the development of state programs and implementation of various initiatives The subject of this research is the financial literacy and instruments for its improvement in the conditions of new digital reality. The question is raised on the need for reconsideration of the financial literacy in the digital context, and implementation of the more extensive multidimensional approach towards its definition. The authors present the results of scientific research conducted in different countries, which prove that financial and digital literacy are the key determinants of financial inclusion. The analysis of foreign practice of introducing the programs aimed at the improvement of financial literacy of the population leads to a number of practically valuable conclusions, namely high potential and effectiveness of the projects that use interactive technologies. The scientific novelty lies in formulation of recommendations that would contribute to more effective implementation of the programs intended for improving financial literacy of the population: targeted programs for improving financial literacy adapted to the needs and level of knowledge of a specific target audience; interactive content that develops both, financial and digital literacy in the context of using financial products. Special attention is given to the formation of competencies for secure use of digital financial products, information awareness of the participants of the programs on the fraudulent schemes. The increase of financial literacy is considered as an indirect financial protection of the consumers.
Stolypin land management in Kaluga governorate during the World War I (July 1914 – June 1917)
Authors: Panasuk Viktor Vyacheslavovich
Published: January 2022

The object of this research is the implementation of agrarian reforms in Kaluga governorate in the early XX century, while the subject is the analysis of Stolypin land management in the region during the World War I. The chronological framework this research cover the period from the beginning warfare until the end of June 1917, when Stolypin land management has been officially completed. Research methodology leans on the principles of scientific objectivity, historicism, and problematicity, which contributed to establishment of causal links, as well as study of the events, phenomena, and processes in their development. The author concludes that the World War I has interrupted the progressive development of Stolypin land management in Kaluga governorate that was purposed prior to the war. The long-running military conflict led to gradual curtailment of the entire process of land management (formation of homesteads, issuance of loans, etc.), and the Provisional Government that came to power during the February Revolution made the final call on its termination. The scientific novelty consists in the fact that his is the first work within Russian historiography dedicated to this topic. The article introduces new archival materials into the scientific discourse, which allowed reconstructing the course of events, phenomena, and processes, as well as provide their assessment. The acquired results can be valuable for wide audience and historians, used in preparation of lectures on history, textbooks, and practical classes.
Educational activity of the Irkutsk branch of Krasnoyarsk Special Secondary School of Militia of the Ministry of Internal Affairs of the USSR: historical-pedagogical aspect
Authors: Vasil'ev Mikhail Aleksandrovich
Published: January 2022

The subject of this research is the process of establishment and development of the Irkutsk branch of Krasnoyarsk Special Secondary School of Militia of the Ministry of Internal Affairs of the USSR from 1989 to 1991 and its subsequent professional pedagogical transformation. Detailed analysis is conducted on the historical-pedagogical peculiarities of the recruitment of academic staff of the branch at the initial stage. The author examines the question of professional characteristics in implementation of educational, line training, service and combat activity of nonpermanent and permanent staff of the school. Research methodology leans on the specific historical approach (M. V. Astakhov, I. D. Kovalchenko, V. F. Kolomiytsev, A. P. Pronstein, etc.), as well as generalization, comparison, synthesis, classification, concretization; analysis of archival documents, legislation and scientific literature; retrospective analysis; and method of historical analogies. In the course of research, the author determines and analyzes the factors that affected the establishment and development of the Irkutsk branch of Krasnoyarsk Special Secondary School of Militia of the Ministry of Internal Affairs of the USSR during the transformation of the political system in Russia. The peculiarities of implementation of pedagogical activity at the initial stage of educational institution are analyzed. The article provides the examples of interaction between the cadets and staff members of the branch with practical divisions. This topic draws the attention of wide audience due to the fact that in the XX century, the establishment and development of departmental education of system of the Ministry of Internal Affairs of the USSR in the territory of Baikal region has become a seminal event for the educational system of the entire Siberian region.
Development of the culture of continuing education
Authors: Shirinkina Elena Viktorovna
Published: January 2022

The subject of this research is the basic models of continuing education used by the representatives of business, higher education and the government. The object of this research is the process of continuing education in Russia as the response to the challenges of the new job market. Analysis is conducted on the context of the emergence of the need for continuing education of the professionals alongside the currently implemented models of such education in Russia and worldwide. The data acquired in the authorial quantitative research conducted in September 2021 in the format of online questionnaire served as the empirical basis for this research. The survey involved 211 specialists from 26 different fields of activity responsible for staff training in Russian organizations. The analytical research is based on the data of the VI International Conference “Beyond Training: Continuing Education for the New Job Market” held jointly by SberUniversity and the European Foundation for Management Development (EFMD) with the participation of the Sberbank Charitable Foundation “Contribution to the Future”. The author seeks to scientifically substantiate the question of why continuing education of the professional has become a topical issue for the organizations. A list of cyclical and sudden trends affecting the organizations, their strategies and business models is explored. The author traces the changes in professions and skills essential for the future specialists. The practical importance of this work lies in description of the new models of continuing education in the organization, which would allow the companies to set the new skill sets that can be acquired in the course of continuing education system the new paradigm in the conditions of new reality.
The Stochastic Bidding Strategy of Micro grid for Participation in Energy and Ancillary Services
Authors: Narimani Iman , Goldani Saed Reza
Published: January 2022

Typically, micro-grid is considered as an effective way to integration of distributed generations. However, in the deregulated environment integration of micro-grid in power system should be further considered. In this paper, a stochastic bidding strategy of joint market for the energy and spinning reserve services markets, with taking into account of the uncertainties of renewable distributed generation output power, load and electricity market prices to maximize the profits of micro-grid, is recommended. The bidding strategy is modeled as an optimization problem and is divided into two stages. First the predictions for uncertainties was carried out by using Adaptive Neural Fuzzy Inference System(ANFIS) and according to the forecast errors and Latin Hyperbolic Sampling (LHS) method, scenarios for micro-grid produced and these scenarios is reduced by using backward scenario reducing. In the second stage, according to the generated scenarios in the previous stage, the profit of micro-grid bidding including the revenue of micro-grid bidding, operation and imbalance costs is optimized by genetic algorithm. In the end, micro-grid bids is sent to market. The effectiveness of the proposed method is discussed on a sample micro-grid and results show the effectiveness of the proposed method.
Multi-objective optimization to have optimal utilization from renewable energy sources in building with zero energy
Authors: Safakar Mansoureh , Omidvar Masoud , Yazdani Maziar
Published: January 2022

By reducing fossil fuel resources, power system operators have interested in renewable energy sources. On the other hand, energy consumption in buildings is included about 40 percent of all energy used in the world. Thus, the researchers have always been seeking a solution to reduce power consumption in the building. This has been led to introduction of the concept of zero-energy buildings. Zero energy buildings refers to buildings that have zero or positive energy consumption in one year. The plane of building houses with zero energy consumption is based on using the household sector from renewable energies. In this study, solar energy and wind energy among renewable sources are selected to meet the power requirements in buildings. The output power level of renewable sources is uncertain and is constantly changing due to the fluctuating nature of wind speed and solar radiation .So in this study, first, the method is provided to forecast output power sources by the neural network algorithm. To utilize a building in dependently, renewable resources should be available with sufficient capacity and energy storage such as batteries, should be available to cover the time periods when renewable resources are not able to produce power. Genetic algorithm will be used to solve the optimization problem. Therefore, in this study, considering to the cost and the least certain amount of load as objective functions system, production planning and consumption in buildings are implemented based on the DGs as a multi-function and the optimized capacity of photovoltaic panels and wind turbines will be determined.
Trajectory tracking control of a quadrotor via fuzzy terminal sliding mode controller in the presence of uncertainty
Authors: Khalili Bahare , Rezaei Mohammad
Published: January 2022

The purpose of this research is to design a robust controller in the presence of noise and uncertainty for trajectory tracking of a quadrotor flying robot. This paper presents a new method in which fuzzy logic controller is used to determine the optimal controller coefficients of a high order sliding mode controller. This method improves control behaviors against parametric uncertainty for a quadrotor trajectory tracking control. Results of simulation in two cases with parametric uncertainty and without uncertainty for trajectory tracking control demonstrate robustness and good performance of the proposed controller against uncertainty.
Investigating the effect of different opening types on steel plate shear wall behavior and finding the most critical condition
Authors: Marghzar Ali Kheiri , Mazlumib Masoud Riyazi , Pouryazdia Amin Naseri
Published: January 2022

In order to withstand lateral loads such as wind and seismic loads, various systems have been proposed so far. Among these, one of the latest one is steel plate shear wall system that has been used in several high and important buildings in different seismic zones of countries including the United State and Japan. Comparing to other lateral load resisting systems such as braces and concrete shear walls, the steel plate shear walls have relative advantages. Additionally, a number of studies and experiences indicate that this type of shear wall has considerable strength and stiffness compared to other systems. Due to architectural requirements, openings are usually cut in panels of steel plate shear walls during construction. It is clear that the size and location of openings affect the performance of steel plate shear walls during earthquake. Therefore, two steel plate shear walls, one with stiffeners and other without stiffeners are considered and their performance are assessed under applying openings with different sizes. The shear walls are modeled in Abaqus and analyzed using finite element method to find the most critical opening size and location. For this reason, the entire plate of the shear wall is used; moreover, the force-displacement curves are obtained after the analysis to compare the shear walls performance.
Rescheduling of Nodes Duty Cycles to Prevent Partitioning in Wireless Sensor Networks
Authors: Mahdavi Mina , Ismail Mahmod
Published: January 2022

For the perfect operation of a WSN both requirements of sensing coverage and network connectivity are needed simultaneously. The method used in this work satisfies both of those requirements. For the sensing coverage, it uses randomized scheduling algorithm, in which each sensor node randomly selects one of the k predefined working subset. At any time only sensor nodes in one subset are active and nodes in the other subsets are in the sleep mode. Then, the algorithm turns on extra sensor nodes if necessary for the network connectivity. The problem of this method is some of extra-on nodes should be active more than one additional subset and even should be stay on all the time. Also extra-on nodes that are turned on to participate in other nodes routing, sometimes are subjected to many transmissions and receptions. So, they are faced with rapid battery depletion and this problem may lead to network partitioning. In this paper, we utilize rescheduling methods to minimize the number of extra on sensor nodes. By probing mechanism algorithms that allow for some nodes to change their working schedule, number of extra on nodes is reduced up to 35%.
Prediction of Economic Value Added status of Tehran Stock Exchanges by using Genetic Algorithm
Authors: Hajabedi Samaneh , Mousakhani Mohammad , Orooji Ashraf
Published: January 2022

The main purpose of this article is to present a model to predict the status of economic value added of Tehran Stock Exchanges by using Genetic Algorithms. Investors’ concern of the return of principle as well as profit of their investment has led us to forecast status of economic value added as a basis to evaluate companies’ performance. Predicting the status of economic value added is one of the ways that can be used to exploit investment opportunities and also to avoid waste of resources. Firstly, necessary warnings can alert companies toward their future performance, moreover investors can recognize good and unfavorable investment opportunities. In this research, independent variables are defined as: Equity premium Reserve, R & D Reserve, Precautionary Reserve, Legal Reserve, Special Reserve, Capital expenditures, Interest Bearing Liabilities, Finance Costs, Capital, Sum of Equity, Long Term Receivables, Nopat, Return of Capital, Investing, Accumulated Profit and Loss, Earning after interest and tax, Receivable Financing Facility and Economic Value Added is as a Dependent variable. The studied population is the accepted companies in Tehran Stock Exchange for the period of 1385 to 1391. At first, by using average test among the variables, those variables that have a significant difference in the two groups of firms with positive EVA and negative EVA are specified. To do so, independent sample T Test from SPSS software is used. Then, using the techniques of Genetic Algorithms, Which is one of the best evolutionary algorithms, variables with greatest ability to distinguish between positive EVA and negative EVA are specified then the predictive model is derived. Derived model from the algorithm enabled us to classify the companies with negative economic value added into the correct categories of negative and positive economic value added, one year prior to the occurrence of negative EVA, with an accuracy of 83%.
The Impact of Job Satisfaction and Work Environment Friendly on Services Innovation with Mediator Role of Knowledge Sharing in Companies under Supervision of Parstousheh in Gilan Province
Authors: TARIGH Maryam Pak , NEZHAD Forugh Rudgar
Published: January 2022

Nowadays the complexity of competitiveness, innovation as one of the main advantages of survival of company considered. According to the needs of employees and needs to create satisfaction and improve the quality of life of employees and satisfaction, efficiency and effort will lead to more and better work efficiency. The present paper examines the relationship between the environment friendly concept and job satisfaction on service innovation has examined the mediating role of knowledge sharing. Friendly work environment and job satisfaction influenced the conceptual model shown on knowledge sharing. Moreover, the sharing of knowledge on service innovation and increased innovation services of company. The study aimed to investigate the impact of job satisfaction and work environment friendly on services innovation with mediator role of knowledge sharing in companies under supervision of Parstousheh in Gilan province. The population consisted of 16 companies under supervision of Parstousheh in Gilan province is chosen randomly. The tool measuring is standard questionnaire and 285 questionnaires were distributed. After collecting the questionnaires to assess the reliability of Cronbach's alpha for each of the components of a friendly work environment, job satisfaction, knowledge sharing and innovation services were used.
Intellectual Capital Measuring and Reporting
Authors: Babai Fatemeh , Niazy Rogieh , Talebi Maryam , Mohamade Jamal
Published: January 2022

Intellectual capital (IC) is increasingly recognized as an important strategic asset for sustainable corporate competitive advantages. Intellectual capital is one of the most important intangible assets in the firms. Intellectual capital evaluation seems to be one of the most important topics in accounting and management. The new strategic management Theoretical literature and empirical evidences suggest that Intellectual capital has direct effect in the firm's value and performance. The aim of this research is to review literature of intellectual capital and importance of intellectual capital reporting in terms of our current economic business environment.
Évaluation de l’activité antimicrobienne de différents extraits d'Helichrysum stoechas subsp. rupestre
Authors: Haddouchi Farah , Zerhouni Khadidja , Sidi-Yekhelef Adel , Chaouche Tarik Mohammed
Published: January 2022

Les plantes médicinales constituent une source riche et diversifiée de métabolites secondaires, qui ont une application commerciale dans les domaines pharmaceutiques et biomédicaux. Notre travail s'inscrit dans le cadre de la recherche de nouveaux antimicrobiens naturels à partir d’une plante de la région de Tlemcen. Il s'agit des fleurs et des tiges feuillées d'Helichrysum stoechas subsp. rupestre.Les extractions successives, par des solvants de polarités croissantes (hexane, dichlorométhane, méthanol et aqueux), ont abouti à des rendements en extraits méthanoliques et aqueux beaucoup plus importants par rapport aux solvants de faible polarité. Les résultats de l'étude de l'activité antimicrobienne, réalisée par la méthode des disques et celle des dilutions sur milieu liquide, montrent que quelques extraits, à l'exception des extraits aqueux, sont doués d'une activité antibactérienne modérée. Les souches les plus sensibles sont Bacillus cereus, Acinetobacter baumanii, Proteus mirabilis, Staphylococcus aureus, Enterococcus faecalis et Escherichia coli, avec des diamètres compris entre 11 et 13 mm. Les valeurs de la concentration minimale inhibitrice (CMI) ont montré un large éventail de valeurs (jusqu'à 25 mg/ml) en comparaison avec les zones d'inhibition (13 mm). Les extraits des deux plantes n’ont montré aucune activité antifongique.
Tracking Pedestrians based on Patch Matching
Authors: Jamshidi Seyed Masoud , Azadi Sassan
Published: January 2022

One of the challenging issues in machine vision over the last decade involves how to track people in consecutive video frames. Nowadays, scholars are greatly interested in tracking people in videos due to a need to track moving objects. In this paper we track pedestrians through the Dollár’s detection technique combined with patch matching from detected objects. At this stage, the patches are matched separately through Bhattacharyya’s method in order to increase the tracking precision. We use color histogram with background subtraction. Desirable results are obtained in estimating displacement and patch search space through the combination of displacement vectors with the detection results from weighted vector median filter (WVMF). Our new technique indicates that we were able to track pedestrians more accuracy.
Presenting a solution based on content distribution networks in order to decrease energy consumption in data center's infrastructure
Authors: Kenari Abdolreza Rasouli , Hassanpour Hossein , Ahmadi Vahid
Published: January 2022

Growing usage of electronic technologies such as internet has brought about creation of various platforms in this infrastructure. Data centers are exploited by different governmental and non-governmental firms within various locations according to some criteria like facility usage volume, shared information amount, political and geographic positions ands. These centers include different processing-storage and communicational segments, each needs its own energy and cost consumption which affects efficiency, productivity and profitability of these centers. Content delivery network is a solution to connect these data centers which are located in various geographical nodes. Applying this technological solution can lead to efficiency increase, delay decrease in sending information and other capabilities. Using digital technology platforms requires different sources of nonrenewable energies such as electricity, petroleum and etc. Consuming energy causes environmental degradation, beside leading firms to undergo extra costs in the process of providing services. In this paper, we are trying to present a method in order to decrease the energy amount using the suggested idea in connected content distribution networks and their usage in internet infrastructure and focusing on geographical differences of data centers. The results of this method are mentioned at the end of this paper which conclude the above model decreases energy consumption and increases efficiency based on its usage area.
Concrete containing waste rubber particles under impact loading
Authors: SADRMOMTAZI Ali , ZANOOSH Romina Zarshin
Published: January 2022

The main objective of this study is investigate of behavior of concrete containing waste tire rubber against impact loads. Impact is one of the dynamic loads that may be occurs at high velocity and exposed concrete structures, such as the military situation. Properties of concrete containing three different sizes of rubber particles 0-1, 1-3 and 3-5 mm that replaced of 0%, 10%, 20%, 30%, 40% and 50% of fine aggregate were determined. Analyses were included compressive and flexural strength, dry unit weight, velocity of ultrasonic wave and scanning of electron microscopy (SEM). For ductility of this kind of concrete, impact test done with gas gun device on it and failure such as penetration depth and average crater diameter determined too. The results indicated that when rubber particles added to concrete mixture, fracture of concrete was softer than normal concrete and concrete containing optimum size and percent of rubber particles has best properties and less failure.
Analysis of customer relationship management in hospitals and present an efficient model for CRM implementation in hospitals
Authors: Zamani Ehsan , Tarokh Mohammad Jafar
Published: January 2022

Today, as a business unit, health care organizations are more requiring high standards of customer relationship management from other industries. This study formed by organizational perspective to identify factors affecting customer satisfaction in medical centers .The study sample in this research is all the people who are somehow connected with hospitals for treatment and the sample size is 303 patients. In this study our aim is to introduce a model of customer relationship management which consists of seven components and the relationship between them. The model is the result of more than 40 models introduced and validated in the field of customer relationship management that presented since 1996 to the present. In the analysis done on data, we proved the new introduced model.
Economic globalization and its challenges in developing countries with emphasis on Iran
Authors: Khonakdari Mostafa Alipour , Hosseinzadeh Nemat , Miralaei Zahra , Pour Maryam Yaghoub , Molaie Azam
Published: January 2022

Globalization is seen beyond avoidance Due to the expansion and strengthening of mass communication and media are and quickly in all dimensions and aspects of human life, especially culture, society, economy and politics has penetrated And all aspects of human life is affected. Understandings of the phenomenon and the challenges and strategies for dealing with the most important responsibilities of scientists and experts from different countries are at present. The present study was to understand the importance and challenges of globalization and the threats against the Islamic Republic of Iran to analyze this phenomenon and Develop and submit to the demands of the 21st century, the country's main strategies in dealing with globalization of culture, society, economy and politics is discussed. The results show that the strategies for dealing with globalization, It can be said that the implementation of strategies and opportunities that it creates For the protection of cultural and social identity important part of our identity is a need to strengthen and enhance the level of cultural, social and economic Smarmy efforts Protecting and preserving the rich culture and customs of the whole Islamic world is ready to face the new approaches to the interests of our country.
The process of globalization, and its impact on the physical form of Islamic cities, with an emphasis on Iran
Authors: Amini Elham , Sedghi Niloofar , Eslamlou Mohammad Saber , Gorjinia Adel , Ghasemi Tara
Published: January 2022

Globalization is seen beyond avoidance Due to the expansion and strengthening of mass communication and media are and quickly in all dimensions and aspects of human life, especially culture, society, economy and politics has penetrated And all aspects of human life is affected. Understandings of the phenomenon and the challenges and strategies for dealing with the most important responsibilities of scientists and experts from different countries are at present. The present study was to understand the importance and challenges of globalization and the threats against the Islamic Republic of Iran to analyze this phenomenon and Develop and submit to the demands of the 21st century, the country's main strategies in dealing with globalization of culture, society, economy and politics is discussed. The results show that the strategies for dealing with globalization, It can be said that the implementation of strategies and opportunities that it creates For the protection of cultural and social identity important part of our identity is a need to strengthen and enhance the level of cultural, social and economic Gmarym efforts Protecting and preserving the rich culture and customs of the whole Islamic world is ready to face the new approaches to the interests of our country.
Unusual but Honest: Kamala Das and Confessional Poetry
Authors: Sameni Mohammad Hadi , Shamoradi Faranak
Published: January 2022

Many critics from India, such as Ramesh Kumar Gupta, C. Santhosh Kumar, A. Selvalakshmi, Z. F. Molvi, describe the poetry of Kamala Das as being unusual, while the poet believes that she writes with ‘candour’ about her experiences of womanhood. Speaking of her poetry as ‘unusual’ is an expected reader’s response to poems written in the confessional mode that transgress accepted norms of tradition, conventions and culture in her society. Confessional constitutes an interesting dimension of women’s writing, in which the poets uncover confidentialities that bond her private and public spheres together. This paper is an investigation into the poetry of Kamala Das (1934-2009), the prolific Indian woman writer of the twentieth century to explicate confessional elements in her poetry. Das borrows this style of writing from her contemporary American writers and employs it as a means of articulation, negotiation and resistance through projecting the self.
The Effect of Clil Method on Teaching Reading Comprehension to Junior High School Students
Authors: Hamidavi Nadia , Amiz Mansoureh Shekar , Gorjian Bahman
Published: January 2022

This study investigated the effect of CLIL (i.e., content and language integrated learning) on Iranian EFL learners’ reading comprehension. 60 students of junior high school in the age of 12 to 14 years who attended language institutions were selected non-randomly. They took part in Oxford Quick Placement Test (OQPT) test to determine their level of proficiency. Based on their scores in the placement test, the students were divided into two groups: High and low achievers. Then they took a pre-test of reading comprehension. Depending on their scores in the pretest, the high level and the low level groups were divided into two subgroups of experimental and control. The experimental groups of high and low achievers were taught through CLIL and the control groups of high and low achievers were taught through intensive reading. After ten sessions of treatment, they took a post-test of reading comprehension. Data were analyzed to compare the high and low achievers with each other to examine the effectiveness of CLIL method through Independent Samples t-test. The findings showed a significant difference between the pre and post-test of high and low achievers. Implications of CLIL method could be influential for both high and low achievers in reading comprehension courses.
Prevention and control of traffic incidents, with priority given to high-risk motorcyclists Tehran Municipality in Region
Authors: Norouzi Vahid , Tabrizi Maryam Ali , Jouleaeian Mahsa
Published: January 2022

The results are alarming facts about the country and has achieved the risky behavior motorcyclists. Motorcyclists are the most frequent victims of accidents on urban streets and rural Iran and with risky behaviors that put themselves and others at risk. Without understanding the causes of these behaviors, health and safety will not be effective. Pedestrians, cyclists, motorcyclists, drivers and passengers in cars and other vehicles, are at greater risk of high-risk road user as they remembered. Among the most important role in preventing accidents drivers in this traffic, so that a driver unsafe driving not only their lives, but the lives of others in danger. Amending and enforcing laws and traffic regulations, creating safe way and promote a safety culture among the factors reducing traffic accidents are statistics. Given the importance of this paper is descriptive - analytic method has been tried, the role of human factors in the severity of traffic accidents in cities, with an emphasis on motorcyclists in the Tehran Municipality in Region 1 to be addressed. Research findings show an increase in the number of vehicles, facilitating increased sales of motorcycles, young population and special charm motorcycles over the past decade, production, sale and use of motorcycles in the country has an increasing trend. And consequently the number of fatal crashes, injury and damage to the motorcycle riders were guilty, relative to the total vehicle accidents, rising substantially shows.
Impact of the Type and Number of Composite Layers in Flexural Strengthening of Reinforced Concrete Voided Slabs with FRP Using Finite Element Method
Authors: Maleknia Muhammed , Modaraei Ataollah Hajati
Published: January 2022

The increasing use of FRP composites to strengthen and repair the structural bearing components, also low weight, high flexibility, ease of transportation, high speed, ease of cutting in desired sizes, ease of performance and possibility of external strengthening are the major reasons for using the FRP laminates in repairing concrete structures compared to other methods. One usage of FRP laminates is strengthening the reinforced concrete slabs. Present article studied the impact of type and number of composite layers in flexural strengthening of the reinforced concrete voided slabs with FRP laminates. The voided slabs are used to reduce concreting volume, costs and also decreasing weight of the structure. Some of these buildings and bridges have been severely damaged due to natural disasters including earthquake, wind or fatigue of materials and alkaline and acidic corrosive agents. Therefore, repair and strengthening the bearing surfaces of above structures is vital and economical. Present research has investigated the parametric study of the impact of type and thickness of FRP fibers on flexural behaviour of strengthened voided slabs using different FRP systems (CFRP-GFRP). For this purpose, the voided concrete ceiling is modelled in ANSYS software, then it is compared to the available laboratory model for verification of the problem. After the verification, by changing the parameters of type and thickness of RFP fibers in the modelled voided slab, ultimate strength of the slab has been studied. These studies have showed that the slabs retrofitted with GFRP fibers have a better ductility compared to the slabs retrofitted with CFRP fibers, but ultimate strength of the slabs retrofitted with CFRP is significantly more than the slabs strengthened with GFRP fibers. It was also found that by increase in the number of laminated composite layers in retrofitted voided slabs, ultimate capacity of the voided slabs is increased.
ONTOLOGICAL MODELS DRIVEN SOFTWARE ARCHITECTURE OF SCIENTIFIC INFORMATION-COMPUTATIONAL SYSTEMS FOR PHYSICAL SCIENCES OPEN TO INTERMACHINE COMMUNICATION
Authors: Привезенцев А.И.
Published: January 2022

В работе рассматривается программная архитектура, нацеленная на упрощение процессов разработки, развёртывания и сопровождения, открытых к межмашинному взаимодействию научных информационно-вычислительных систем (НИВС). Данная программная архитектура, основана на универсальных идеях применения онтологических моделей в программной инженерии (ODD, OED, OBA, OEA), которые предполагают использование онтологий в процессах жизненного цикла программной системы.

The paper considers the software architecture aimed at simplifying the processes of development, deployment and support, open to the intermachine communication of scientific information-computational systems (SICS). The given software architecture, is based on universal ideas of application of ontological models in software engineering (ODD, OED, OBA, OEA) which assume use of ontologies in processes of life cycle of software system.
ON THE CONCEPT OF AUTOMATED DEVELOPMENT OF THE ONTOLOGIES OF SCIENTIFIC SUBJECT DOMAINS BASED ON THE SYSTEM OF HETEROGENEOUS ONTOLOGY DESIGN PATTERNS
Authors: Загорулько Ю.А. , Боровикова О.И.
Published: January 2022

Описывается концепция построения онтологий научных предметных областей (НПО) на основе системы разнородных паттернов онтологического проектирования, ориентированных на извлечение и представление научных знаний. Такой подход позволяет естественным образом автоматизировать процесс создания онтологии НПО, так как в нем будут одновременно участвовать паттерны отвечающие как за ручное построение онтологии (силами инже-неров знаний и экспертов в данной НПО), так и за ее автоматическое пополнение.

The concept of development of the ontologies of scientific subject domains (SSDs) based on a system of heterogeneous of ontology design patterns is described. The concept is focused on the extraction and presentation of scientific knowledge. This approach allows you to naturally automatize the process of creating SSD ontology, since the patterns responsible for both the manual ontology construction (by knowledge engineers and experts in this SSD) and its automatic completion and population will simultaneously participate in it.
INTEGRATION OF KNOWLEDGE AND DATA IN ACTIVE SEISMOLOGY
Authors: Брагинская Л.П. , Григорюк А.П. , Ковалевский В.В.
Published: January 2022

Коллекция цифровых двойников нефтегазонасыщенных коллекторов АТЛАС МФМ нацелена на построение максимально реалистичной модели, включающей изменение свойств флюидонасыщенной горной породы в прискважинной зоне, описание процесса замещения пластовой жидкости фильтратом бурового раствора, изменение геомеханических параметров и эволюцию пространственного распределения удельного электрического сопротивления. Программная организация АТЛАСа использует масштабируемое облако вычислительных агентов для высокопроизводительных научных расчетов.

The paper presents the principles of the organization of the information environment, which pro-vides a comprehensive representation of the subject area and various aspects of scientific activity in active seismology. The ontology of the Active Seismology subject area was used as a conceptual framework and information model.
Does Explicit Polarizability Improve Molecular Dynamics Predictions of Glass Transition Temperatures of Ionic Liquids?
Authors: Klajmon Martin , Cervinka Ctirad
Published: January 2022

Molecular-dynamics simulations are used for predictions of the glass transition temperatures for a test set of 5 aprotic ionic liquids. Glass transitions are localized with the trend-shift method analyzing volumetric and transport properties of bulk amorphous phases. Classical non-polarizable all-atom OPLS force-field model developed by Canongia Lopes and Pádua (CL&P) is employed as the starting level of theory for all calculations. Alternative approaches of charge scaling and Drude oscillator model, accounting for atomic polarizability either implicitly or explicitly, respectively, are used to investigate the sensitivity of the glass transition temperatures to induction effects. The former non-polarizable model overestimates the glass transition temperature by tens of Kelvins (37 K in average). The charge scaling technique yields a significant improvement, and the best estimations were achieved using polarizable simulations with the Drude model, which yielded an average deviation of 11 K. Although the volumetric data usually exhibit a lesser trend shift upon vitrification, their lower statistical uncertainty enables to predict the glass transition temperature with a lower uncertainty than the ionic self-diffusivities, the temperature dependence of which is usually more scattered. Additional analyses of the simulated data were also performed, revealing that the Drude model predicts lower densities for most sub-cooled liquids, but higher densities for the glasses than the original CL&P, and that the Drude model also invokes some longer-range organization of the sub-cooled liquid, greatly impacting the temperature trend of ionic self-diffusivities in the low-temperature region.
Rediscovering Armstrong’s quinoid theory with machine learning using quantum chemistry
Authors: Takehiro Fujita , Terayama Kei , Sumita Masato , Tamura Ryo , Nakamura Yasuyuki , Naito Masanobu , Tsuda Koji
Published: January 2022

Throughout the history of chemistry, human efforts to design functional molecules have caused the discovery of numerous theories. Recently, artificial intelligence (AI)-enabled de novo molecular generators (DNMGs) have automated molecular design based on data-driven or simulation-based property estimates, eliminating the need for chemical-theory-based guidelines. However, it is unclear whether these DNMGs can discover theories that elucidate molecular design and chemistry. Herein, we demonstrate that an AI-enhanced DNMG can discover a chemical theory regarding the molecular structure. We attempted to elucidate the theory used by the DNMG to generate pure organic molecules (consisting of H, C, N, and O) for absorbing long-wavelength light by observing the functional group enrichment of molecules during the density-functional-theory-based generation. Although the DNMG initially targeted diketone and aniline derivatives, it later focused on quinone derivatives with a long absorption wavelength, as if it found a rule for chemical constitutions relevant to colour, previously known as Armstrong’s quinonoid theory, which claimed that the colour originates from 1,4-quinon derivatives. Additionally, the DNMG shows the potential of 1,2-quinone derivatives as chromophores, as demonstrated by our experimental validation by synthesising one mimetic generated molecule. This study confirms that DNMGs have the potential to discover and expand chemical theories.
Catalytic DNA Polymerization Can Be Expedited by Active Product Release
Authors: Moerman Pepijn , Gavrilov Momcilo , Ha Taekjip , Schulman Rebecca
Published: January 2022

The sequence-specific hybridization of DNA facilitates its use as a building block for designer nanoscale structures and reaction networks that perform computations. However, the strong binding energy of Watson-Crick base pairing that underlies this specificity also causes the DNA dehybridization rate to depend sensitively on sequence length and temperature. This strong dependency imposes stringent constraints on the design of multi-step DNA reactions, because a small deviation from the optimal conditions slows down the process dramatically. Here we show how an ATP-dependent helicase, Rep-X, can drive certain dehybridization reactions in designed DNA reaction networks at rates independent of sequence length, thereby decoupling the rates of hybridization and dehybridization. To illustrate this principle, we show that Rep-X extends the range of conditions where the primer exchange reaction, which catalytically adds a domain provided by a hairpin template to a DNA substrate, proceeds rapidly: in the strong substrate-hairpin binding regime, Rep-X expedites the reaction almost one hundred-fold. Our results provide an example of how ATP consumption can drive specific dehybridization reactions in designed DNA reaction networks and how this consumption can be harnessed to expedite reactions beyond their equilibrium rates.