bluuebunny/crossref_metadata_2025 huggingface dataset:
The production of the initial population and Mandelbrot algorithm by using genetic set to encrypt Image
Authors: Mohammadi Elaheh Agha , Zadeh Mehdi Sadegh
Published: January 2022

Nowadays, finding a way to secure media is common with the growth of digital media. An effective method for the secure transmission of images can be found in the field of visual cryptography. There is a growing interest in the use of visual cryptography in security application.Since this method is used for secure transmission of images, many of the methods are developed based on the original algorithm proposed by Naor and Shamir in 1994.In this paper, a new hybrid model is used in cryptography of images which is composed of Mandelbrot algorithm and genetic algorithm. In the early stages of proposal, a number of encrypted images are made by using the Mandelbrot algorithm and the original picture and in the next stage, these encrypted images are used as the initial population for the genetic algorithm.At each stage of the genetic algorithm, the answer of previous iterations is optimized to get the best encoding image. Also, in the proposed method, we can achieve the decoded image by a reverse operation from the genetic algorithm. The best encrypted image is an image with high entropy and low correlation coefficient. According to the entropy and correlation coefficient of the proposed method compared with existing methods, it is observed that our method gets better results in both of them.
A Model for Customer Loyalty in the healthcare centers Case Study Shahid Shooride medical center
Authors: Fatemifar Azade , Hosseini Mirza Hassan , Maymand Mohammad Mahmoudi
Published: January 2022

Customer loyalty as a vital issue is considered for growth and survival of organizations in the competitive world. In this way, the cause and effect relationship between five latent variables were analyzed including social responsibility, trust, customer company identification, satisfaction, and patient loyalty and having 9 hypotheses. To test the hypotheses the personal questionnaire was used and data from 405 individuals who referred to the Shahid Shoorideh medical Center was collected. randomly sampling method used and data was analyzed by statistical instruments. The descriptive statistics was performed using SPSS software and referential statistics was conducted using exploratory and confirmatory factor analysis and Structural Equation models and AMOS software. Result showed that the positive and significant relationship between corporate social responsibility, trust and customer company identification, and also relationship between patient’s satisfaction, customer company identification and trust was supported. The relationship between corporate social responsibility and customer satisfaction, and also relationship between loyalty and customer satisfaction was rejected. Accordingly, the effect of social responsibility on loyalty was approved indirectly having considered the mediating role of customer trust, customer company identification, and patient satisfaction. In addition, result represents the important role of trust and customer company identification in patients’ loyalty toward medical centers.
Public Transport Risk Assessment through Fault Tree Analysis (FTA)
Authors: Yaghubpour Zeinab , Esmaeily Leila , Piran Hamid Reza , Behrad Alireza
Published: January 2022

This study focused on the public transport risk assessment in District 1 of Tehran through Fault Tree Analysis (FTA) involving the three criteria of human, vehicle and road in Haddon matrix. In fact, it examined the factors contributing to the occurrence of road accidents at several urban black spots within District 1. Relying on road safety checklists and survey of experts, this study made an effort to help urban managers to assess the risks in the public transport and prevent road accidents. Finally, the risk identification and assessment of public transport in District 1 yielded several results to answer the research questions. The hypotheses analysis suggested that safety issues involved in public transport are concerned by urban managers. The key reactive measures are investigation of accidents, identification of causes and correction of black spots. In addition to high costs, however, the reactive measures give rise to multiple operational problems such as traffic navigation and guaranteeing user safety in every operation. The case study highlighted the same fact. The macro-level management in the metropolis of Tehran is critical. The urban road casualties and losses can be curtailed by preventive measures such as continuous assessment of road safety.
A Study on the Effect of Oil Price Variations on Stock Returns under Environmental Uncertainty (Sales)
Authors: Ayoubi Sakineh , Rezaei Farzin
Published: January 2022

Oil is a commodity considered the most important export product in many countries, playing a key role in the economies. That is why oil price variations can have direct effects on economic sectors. Uncertainty caused by unpredictable oil prices can have a huge impact on the economic body. The main purpose of this study was to find the relationship between oil price variations on stock returns under environmental uncertainty during 2005-2014. The effect of environmental uncertainty on the relationship between oil price variations and stock returns were examined. The regression method and EVIWSE9 were used to evaluate the hypothesis. The results of regression showed that uncertainty, i.e. sales fluctuation at confidence level of 95% did not have a significant effect on the relationship between oil price variations and stock return.
Fuzzy optimal portfolio selection based on multi-objective Mean-Variance-Skewness model by using NSGA-II algorithm
Authors: Ashrafzadeh Sharareh , Moradzadehfard Mehdi , Ohadi Fereydoun
Published: January 2022

Constructing an optimal portfolio is a critical decision for investors. The classic portfolio models generally consider mean and variance of return criteria, which are mostly intended single objective and have been analyzed and studied under conditions of certainty. But, in the real world problem of portfolio selection, is a multi-objective problem and in addition to the criteria of mean and variance of return, other criteria such as liquidity risk should also be considered. On the other hand, in practice, we are faced with a vague inaccurate data and portfolio selection problem must be studied under conditions of fuzzy uncertainty. In this paper, we have developed a new fuzzy multi-objective programming model based on mean-variance-skewness model for optimal portfolio selection under fuzzy uncertainty. The objective functions include maximizing the expected return, maximizing skewness or the chance to gain expected returns and minimizing liquidity risk. Rates of return, rates of turnover, and the maximum number of types of stocks included in the portfolio have been considered as triangular fuzzy numbers. To solve this problem an elitist non-dominated sorting genetic algorithm (NSGA-II) has been developed. Vector evaluated genetic algorithm (VEGA) and non-dominated sorting genetic algorithm (NSGA) were used to compare and evaluate the performance of the proposed solving method. Finally, the results obtained from the algorithms output are compared and analyzed, which indicates a higher efficiency of the proposed solving method compared to other methods.
Using Wavelet Transform and Correlation Factor Analysis
Authors: Panah Mohammad Saleh Pajoohesh , Azarakhsh Javad , Raisi Zobeir
Published: January 2022

This paper presents a new online approach for power transformer differential protection. The proposed method is concluded by sampling from differential current product of three phases primary and secondary currents. Recognition of fault type in protection area is based on wavelet transform and correlation factor appointment and eventually correlation factor matrix analysis and determines the size of each dip. Simulations of power system, online relay, and fault applying for relay analysis have been performed by MATLAB/Simulink. Unlike other current proposal methods, the most important advantage of our approach is being online of the performance of its designed relay in each time period that provide to make the industrial sample of that. Simulation results show that the performance of designed relay is remarkable and the performance of this relay is compared to that of other existing offline methods, obtaining considerably better and very promising results.
Prediction of Diabetes by Using Artificial Neural Network, Logistic Regression Statistical Model and Combination of Them
Authors: Rahimloo Parastoo , Jafarian Ahmad
Published: January 2022

Diabetes is a common disease in the world that has not found a cure for it. Annually in our country cost a lot to care for disabilities caused by diabetes, as predicted to treatment, thus more accurately predict the condition of patients is of utmost importance and to forecasts of high precision and reliability must be accurate and to be used the reliable methods. One of these methods using artificial intelligence systems and in particular, is the use of neural networks. Given that the statistical models like logistic regression model are accurate, so in this paper, tried by combining these statistical models and neural networks, create a new compound that has at least error and maximum reliability and is analyzed. With the above suggestions model and different experiences and comparing, numerical results obtained, the accuracy and efficiency of the method has been investigated and acceptable results compared to the neural network and logistic regression methods were obtained. In this research, the criteria are the performance to minimize the error function in neural network training using a neural network in a hybrid model which eventually came to the conclusion that the error function of the neural network is equal to 0.1 and combined neural network model is equal to 0.0002.
Skeleton based Non rigid Shape Matching
Authors: Amini Fariba , Ebrahimnezhad Hossien
Published: January 2022

This paper offers a new feature for matching deformable objects based on skeleton. Effectiveness of the skeleton-based methods depends to a large extent on the quality and perfection of the extracted skeleton. When the skeleton is extracted, additional branches of which, with the shape contour segmentation, are omitted by DCE method. The pruned skeleton is robust to the complex deformations and noise. After the pruned skeleton is obtained, minimum distance of contour points of the shape from the skeleton is calculated. This distance almost is constant against the articulated changes which this feature is used for finding the corresponding points. In order to carry out matching, the suggested method is applied on the MPEG7 dataset. Results show that the proposed algorithm is highly effective for matching objects.
Analysis Economic of Medicinal Plants production in tropical Area
Authors: Moghadam Zahra Ghaffari , Mohkami Zaynab , BadihBarzin Hossein
Published: January 2022

In this study, the comparative advantage of medicinal plants production in tropical regions of Iran was investigated using Advantage comparative index and policy analysis matrix (PAM) in 2015.The result, based on the comparative advantage indices, indicate that has a comparative advantage in the production of Carla, Ajowan, Cumin, Anise, Licorice , Dill and   has not comparative advantage in Plantago production. Based on comparative advantage indices crops of Carla, Licorice, Anise, Ajowan, Dill and Cumin respectively ranked first to sixth. The amount of nominal protection coefficient on output (NPC), indicated that there is an indirect subsidy on the producer of Cumin, Anise, Plantago and Dill; means that government policies support the domestic production. And also indirect taxation on outputs Carla, Ajowan and  Licorice. Amount of nominal protection coefficient on input (NPI) represented the indirect subsidy on tradable inputs of all crops, which means that the government policies supported the supply of production inputs. Effective protection coefficient index (EPC) for Cumin, Anise, Plantago and Dill was more than 1, showed that the government's policies support production process. Net social profit (NSP) for all crops was positive and indicating social profitable of crops in area. Social Cost Benefit (SCB) showed that this area in production and trade of all crops except Plantago have comparative advantage.
The urban design guideline and conceptual model development for improving the quality of visual appeal of pedestrian; Mashhad Monfared Street Pedestrian
Authors: Mirgholami Morteza , Tabatabaei Seyede Farzaneh , Hashempour Parisa
Published: January 2022

According to the formation of initial steps in urban pedestrian design of Iran, this study tries to prepare visual-spatial quality measurement framework for urban pedestrians to evaluate the quality of visual appeal of pedestrians and on the other hand it provides the promotion of their visual quality and effective use in the next experiences. in this regard and on the basis of comparative comparison and according to the principle of interment understanding of experts and scholars opinions, this study analyzes the related theoretical foundations and develops a special conceptual model to evaluate visual appeal of pedestrians. Designing for pedestrians requires more attention than designing for vehicles on the other hand, perhaps the most problematic criterion of walkability that is less discussed is visual-spatial quality. this study that has practical aspects, develops model and components of pedestrians visual appeal by analyzing theoretical documents and studies and then assess the situation of the study area -Mashhad Monfared street-  based on theoretical framework and finally, it offers a designing guideline to improve visual appeal of Monfared pedestrian.
Prioritization of effective factors on job motivation of employees using DEMATEL–AHP method in Payame-Noor University of Khuzestan province
Authors: Chenari Vahid , Asadi Asghar
Published: January 2022

This study aims to prioritize the effective factors on job motivation of employees using DEMATEL–AHP method in Payame-Noor University of Khuzestan province. The study population is all administrative sector employees of Payam-e Noor University in Khuzestan province as 464. The sample size is 169 using Cochran’s formula and random sampling method. The data collection measure is AHP, DEMATEL questionnaire. The validity was verified using the experts’ panel and Cronbach’s alpha was 0.8. The present study is applied, descriptive-analytic. In the present paper, at first the most effective factors on job motivation (salary, spiritual and organizational motivators) are identified and then a combinational methodology based on AHP models and internal feedbacks of DEMATEL is proposed to prioritize these factors. Finally, the combination of these two views is considered as an important index of relative importance of job motivation factors. According to the results of proposed methodology, “job promotion”, “job security” and “job characteristics” were the most effective factors on job motivation. Also, “organizational factors” were in the first priority of significance to enhance job motivation among employees.
Investigating the Effect of Empowerment on Employees’ Occupational Self-Efficacy
Authors: Nafari Neda , Vatankhah Sajad
Published: January 2022

The present descriptive-survey research aims to study the impact of empowerment on occupational self-efficacy of the employees in the Greater Tehran branches of Mehr Eghtesad Bank. The statistical population is comprised of all 600 employees of Mehr Eghtesad Bank working in branches of the Greater Tehran. Using Morgan table, the sample size is determined to be 234. Sampling is carried out using simple random method. In order to assess the studied variables, employee empowerment questionnaire and work self-efficacy scale have been used. The validity of the questionnaires is confirmed by experts. Using Cronbach’s Alpha, the reliability of empowerment questionnaire is measured to be 0.84, and the reliability of occupational self-efficacy is assessed to be 0.81. In order to analyze the data, descriptive statistics as well as inferential statistics (univariate regression and stepwise regression) have been used. Research results indicate that empowerment and all its dimensions (meaningfulness, competence, autonomy, and impact) have a positive and significant effect on self-efficacy of employees in Greater Tehran branches of Mehr Eghtesad Bank. The results also suggest that the three dimensions of autonomy, impact, and meaningfulness can predict the self-efficacy of employees in Greater Tehran branches of Mehr Eghtesad Bank.
NFC threats and attacks: Applying a low cost algorithm for secure channel using Twofish
Authors: Fathy Mahmood , Samouti Seyed Ali
Published: January 2022

Near Field Communication (NFC) is a new technology which can provide communication between mobile devices in short range. Data would be communicate in three modes: (1) between two mobile systems (MS), (2) MS2 NFC tags (3) reader2MS. One of the must public application in this technology is micropayment system, so by developing NFC technology it would be used in E-commerce and e-everything. In combination of E-Commerce and NFC technology MS would be used as smart card. It is clear that by developing one technology we should consider security and protection system for that. Therefore NFC security and protecting MS from attacks and eavesdropping is so important and critical. In this article at the first we will briefly review about this technology and the architecture, in the next step we will explain about NFC threats therefore we can analyze the attack. After that we will describe some scenarios for protecting against the NFC threats. Then we will explain NFC security standards. In this part we will mention to SSH and SCH, we will show that in secure channel we should use a symmetric algorithm. In this standard AES is has been recommended but we will show that two fish algorithm is more complex than in AES on the other hand we will simulate our proposed approach and we will show that the power consumption and processing time are decreased.
Assessing Business-IT Alignment Maturity and Application Architecture Components in Companies with Enterprise Architecture Implementation
Authors: Bazaee Qasem Ali , Aliasghari Ali
Published: January 2022

A comprehensive program acts as an integrated force among various business aspects, such as objectives, organizational structure, processes, data, automation aspects and hardware program. This study aimed to examine the business-IT alignment through the alignment between the components of enterprise architecture. Business-IT effective alignment requires analyzing the business problems and changes at all levels. The business -IT interface must be based on transparent and consistent business requirements and information; in fact, business related solutions should interact with IT solutions (Consurtium, 2001). This article tried to examine the business-IT alignment through the alignment between the components of enterprise architecture.
Half an analytical look at the history of the emergence of Concrete poetry
Authors: Karasfi Nusratollah Din Mohammadi
Published: January 2022

The concrete poetry is regarded as the modern poetic movements in Europe and Iran. Concrete poetry is one of the written deviations and foregrounding is associated with irregularity of poetry, graphic and sometimes calligraphic lines. In this poetic movement, the written structure is selected in such a way that the form, the structure and the combination of words, the interrupted structure of the words, the degraded form of the words into the forming letters has created visual images that play an important role in transferring the motif to the audience. The author in this article aimed to review analytically the formation history of concrete poetry in Europe and Iran from the beginning until now. the history of visual communication is very old that dates back to the very remote times. Guillaume Apollinaire (1880 – 1918) played an important role in the emergence of concrete poetry. After 40 years, Apollinaire ultimately paved the way for concrete poetry by creating kind of visual poetry namely Calligram. Apollinaire enjoyed the experience of eastern poets in addition to western poet. in 1958, the basic principles of concrete poetry were compiled and again the Brazil was the flagship of this movement. In the early 60s, Eugen Gomringer published the concrete works of the poets in different countries of the world after the foundation of International Movement of concrete poetry. In Iran, Tahereh Saffarzadeh, a theorist and contemporary researchers, was the founder of the concrete poetry in Persian language. After Tahereh Saffarzadeh, Esmail Nooriala, a contemporary poet and critic, was regarded as the founder, promoter of concrete poetry in Persian language and literature.
The Impact of Computer-Assisted Language Learning Applications on Incidental Vocabulary Recall and Retention
Authors: Shoaei Fatemeh , Alavi Mohammad
Published: January 2022

This study reports on an investigation into the effect of Computer Assisted Vocabulary Learning (CAVL) on fostering the incidental vocabulary gain of 62 pre-intermediate teenage learners of English studying in a language institute in Iran. These participants were randomly assigned to CAVL and traditional teacher-led groups. Additionally, the two groups’ perceptions towards Computer-Assisted Language Learning (CALL) and Computer-Assisted Learning (CAL) were surveyed and compared. A multimedia application integrating contextual cues, frequency of occurrence, dictionary definitions, and textual and audio annotations, was developed uniquely for the purposes of this experimental research. In order to measure and compare the vocabulary recall and retention of the two groups, a pretest-posttest research design was utilized. The results of the immediate posttest demonstrated that the students in the CAVL group significantly outperformed those of the non-CAVL group, confirming superior recall of the new words. Although the latter groups’ scores on the delayed posttest were also higher than the former groups’ scores, in comparison to the immediate posttest, a considerable decrease in the CAVL groups’ vocabulary retention was observed. Moreover, even though both groups perceived CAL as an effective method of learning, the perceptions of the participants in the CAVL group were more positive toward CALL.
The role of local government in the control and supervision of urban construction, with an emphasis on old texture
Authors: Amini Elham , Naghavi Majid , Gorjinia Adel , Baroogh Saeid Madadi , Ali Hamid Reza Mirza
Published: January 2022

Marginalization and informal settlements in present terms, the consequences of rapid urbanization and industrialization is transferred to the social and economic paradigm. In our increasingly urban development, management and organization of all the issues and complexities caused due to failure in the field of urban management is crystallization. One of the things that have been added to the mass of urban management problems and given the current trend of urbanization in the world, as the crisis worsened and engraved on the forehead and sees its own sensitivities raised the issue of neighborhoods is informal, That should be analyzed in the field of urban management as a root and a clear strategy and fundamental decisions in this regard. The main purpose of this paper is the role of urban management in the control and monitoring of urban construction with an emphasis on informal settlements in the Eslamshahr. Methods: In this cross-sectional study is, according to its nature as a research and information gathered from documents and descriptive written sources was organized. The results show that the best way to start a new process of development in the communities, monitoring construction in the settlements and organization of their physical capabilities during the empowerment strategy is implemented.
Using a method of measuring the state of biodiversity in cities, using the index (CBI) in Tehran: A strategy for urban management
Authors: Reyhanian Anita , Porshokouh Ali Bagherpour
Published: January 2022

Biodiversity is seriously affected by the construction and development of the city as well. Open unbridled urbanization has been accompanied by the destruction of natural ecosystems and unfortunately resulted in the loss of native species in the region. On the other hand, due to the human tendency to planting non-native species, ecosystems urban environment is very fragile and in case of problems such as drastic changes in temperature or drought, many species disappear. Restoration of biodiversity in cities, due to the spread of pollution and degradation of habitat quality, integrated management through proper use of technical facilities and appropriate species is adapted to urban environments. Is able to rapidly and quality, ecological services such as air purifiers, create microclimate and protection of water resources, biodiversity, along with the revival as much as possible to bring animals of the region. Because on the one hand Tehran in the Alborz mountains and the desert climate is led and in certain circumstances have potential richness of biodiversity. But due to excessive construction, environmental pollution, using conversion and logging of old trees, climate change and lack of attention to the high value of its massive trove of biodiversity, habitats and destruction in these cities is changing with the change of structure in the city its performance is also affected and many plant and animal species that have been changed and some destruction. In this study, the role of biodiversity in order to protect and restore native biodiversity of an abuse, And proper use of the method of measuring the status of biodiversity using CBI indicators in order to create ecological services, to habitable the other hand will be discussed in Tehran.
Essai d’évaluation de l’activité antibactérienne de la gomme arabique d’Acacia tortilis (Forssk) contre quelques souches bactériennes pathogènes
Authors: Benyagoub Elhassan , Boulanouar Amina , Souid Ahmed Meriem , Nebbou Nouria , Bouloufa Ahmed
Published: January 2022

Les infections de l’appareil urinaire sont courantes et parfois graves. Elles représentent un véritable problème de santé publique. Par ailleurs, l'utilisation fréquente des antibiotiques pour le traitement de ces infections engendre un risque important de résistance bactérienne. C'est pourquoi nous nous intéressons dans ce travail à l'évaluation du pouvoir antibactérien, par la technique de diffusion en disque sur l’agar, de la gomme arabique d’Acacia tortilis de la région de Tindouf (Extrême Sud-Ouest Algérien) contre quelques souches bactériennes responsables d’infections urinaires basses et génitales chez la femme. Le profil d’antibiorésistance des souches bactériennes testées a révélé une résistance accrue vis-à-vis de l’Ampicilline et de l’Amoxicilline-acide clavulanique pour les Entérobactéries (Escherichia coli et Citrobacter sp), alors que les souches Staphylococcus aureus ont présenté une résistance à l’Ampicilline, à la Pénicilline et à l’Oxacilline. Le pouvoir antibactérien de l’extrait aqueux à base de la gomme arabique a montré que l’apparition des zones d’inhibition est proportionnellement liée à l’augmentation de la concentration de l’extrait aqueux (0,1; 0,25; 0,5 et 0,75g/ml). Cependant, les bactéries à Gram négatif possèdent une forte résistance par rapport à celles à Gram positif. Les résultats préliminaires de cette étude nous ont permis de prédire que l’extrait aqueux testé possède un effet antibactérien non négligeable, ce qui laisse prévoir leur application en médecine traditionnelle.
EFFET DE COMPOSÉS CALCIQUES INORGANIQUES SUR LE DÉVELOPPEMENT IN VITRO DE MOISISSURES ISOLÉES D’AGRUMES APRÈS LA RÉCOLTE
Authors: Attrassi Khaled , Rahouti Mohamed
Published: January 2022

L’efficacité in vitro de silicate, d’hydroxyde, l’oxyde, du sulfate et  d’hypochlorite de calcium a été testée sur le développement des champignons responsables de la pourriture des fruits d’agrumes en post-récolte. Les composés calciques inorganiques ont été testés in vitro à 200, 400, 600, 800 et 1000 ppm contre Alternaria alternata, Aspergillus niger, Fusarium oxysporum, Penicillium digitatum, Rhizopus stolonifer, Penicillium italicum isolées à partir de deux variétés d’agrumes Clémentines et Oranges. Le silicate, l’hydroxyde et l’oxyde de calcium se sont avérés efficaces sur les isolats de F. oxysporum, d’A. alternata, d’A. niger, de P. digitatum, de R. stolonifer et de P. italicum à 1000 ppm avec des pourcentages d’inhibition compris entre 66,7% et 85,7% pour la croissance mycélienne, 62,8 et 92,4% pour la production des conidies et 82,8 et 98,8 % pour leur germination. Les champignons testés sont moyennement sensibles au sulfate de calcium alors que l’hypochlorite de calcium est sans action. Le silicate, l’hydroxyde et l’oxyde de calcium sont les composés calciques inorganiques les plus efficaces in vitro contre les champignons responsables des pourritures des fruits d’agrumes en post-récolte. Les résultats obtenus vont permettre de s’orienter vers la lutte par les composés calciques inorganiques contre les pathogènes responsables des pourritures des fruits d’agrumes en post-récolte, avant l’entreposage, en raison de son efficacité contre les maladies d’origine fongiques.
ЦИФРОВЫЕ ДВОЙНИКИ КАК ТЕХНОЛОГИЯ СОЗДАНИЯ НОВОГО ПОКОЛЕНИЯ СИСТЕМ ЭКОЛОГИЧЕСКОГО МОНИТОРИНГА ГОРНОПРОМЫШЛЕННЫХ КОМПЛЕКСОВ
Authors: Потапов В.П. , Юрченко А.В. , Шокин Ю.И.
Published: January 2022

В работе рассматривается новый подход к созданию цифровых платформ для систем горнопромышленного мониторинга, основанный на применении технологии цифровых двойников. Указывается на тот факт, что современные мониторинговые системы используют все более разнообразныне типы пространственных данных, для которых необходимо менять саму методологию сбора, обработки, хранения и анализа информации, которая распределена по различным источникам, что особенно характерно для крупных природно-технических, например, горнопромышленных комплексов. Такие системы имеют значительную протяженность, а производственные процессы воздействия на горный массив отличаются сложностью и разнообразием. В связи с резким возрастанием информационных потоков, требующих новых технологий их цифровой обработки, наиболее общим подходом следует признать применение концепции больших данных, связанных с ними методов анализа на основе искусственного интеллекта и математического моделирования. Для их применения требуется достаточно общая методология, которая позволила бы на единой платформе вести разработку систем горнопромышленного мониторинга, учитывая специфику всех его компонент. Предлагаемая в работе концепция на основе технологии цифровых двойников позволит решать поставленные задачи. Приводятся примеры реализации предложенной технологии применительно к системе экологического мониторинга предприятий горнопромышленного комплекса.
DATA QUALITY ASSESSMENTS IN LARGE SPECTRAL DATA COLLECTIONS
Authors: Ахлестин А.Ю. , Лаврентьев Н.А. , Козодоев А.В. , Фазлиев А.З. , Привезенцев А.И. , Козодоева Е.М.
Published: January 2022

В докладе обсуждаются методы анализа качества спектральных данных и оценка доверия экспертным данным и результаты их применения в ИС WDIS. Наряду с традиционными методами, используемыми при анализе качества первичных источников данных, обсуждается также метод декомпозиции экспертных источников данных, метод попарного сравнения упорядоченных массивов данных и использование эмпирических данных для фильтрации больших коллекций данных по величине допустимой разницы между уровнями энергии первичных источников данных и эмпирического источника. В докладе рассмотрены два типа интерфейсов для просмотра результатов анализа спектральных данных и оценки доверия экспертным данным.

The report discusses methods for analyzing the quality of spectral data, trust assessment of expert data sources and the results of their application in the WDIS information system. Along with the traditional methods used in analyzing the quality of primary data sources, the method of decomposing expert data sources, the method of pairwise comparison of ordered data arrays, and the use of empirical data to filter large collections of data by the magnitude of the acceptable difference between the energy levels of primary data sources and an empirical source are also discussed. The report examines two types of interfaces for viewing the results of spectral data analysis and assessing trust in expert data.
THE STUDY OF THE APPLICABILITY OF MACHINE LEARNING METHODS BASED ON DECISION TREES FOR THE ANALYSIS OF ELECTROCARDIOGRAMS
Authors: Бочкарев Б.В. , Ракитский А.А.
Published: January 2022

В данной статье рассматривается возможность применения методов машинного обучения на основе решающих деревьев для анализа электрокардиосигналов. Были отобраны наиболее перспективные методы, такие, как метод градиентного бустинга, лес случайных деревьев и рандомизированные деревья, которые являются сегодня наиболее и качественными в задачах классификации. На основе проведенного исследования происходит демонстрация применимости выбранных методов для автоматизированного анализа электрокардиограмм пациентов

In this article, the possibilities of using machine-learning methods based on decision trees for the analy-sis of cardiac signals are available. The most promising methods have been applied, such as the gradient boost-ing method, forest random and randomized trees. The basis of the research is a demonstration of the applicability of the selected methods for the automated analysis of patient electrocardiograms.
MATHEMATICAL MODELING OF THE PROСESSES OF CELLS DEATH IN DEGENERATIVE DISEASES
Authors: Воропаева О.Ф. , Баядилов Т.В. , Воропаева Е.С. , Иванов Н.Д. , Леонтьев С.В. , Цгоев Ч.А.
Published: January 2022

Работа посвящена математическому моделированию некроза и апоптоза клеток при ишемическом инсульте, инфаркте миокарда и болезни Альцгеймера. Разработана вычислительная технология и новые математические модели. Построена модель асептического воспаления при заживлении раны. Рассмотрены некоторые общие вопросы моделирования пространственного распространения локальных повреждений и разных сценариев таргетной терапии. Выполнено сопоставление с экспериментальными данными.

The work is devoted to the mathematical modeling of cell necrosis and apoptosis in ischemic stroke, myocardial infarction and Alzheimers disease. Computing technology and new mathemati-cal models have been developed. A model of aseptic inflammation during wound healing has been constructed. Some general issues of modeling the spatial distribution of local injuries and various targeted therapy scenarios are considered. Comparison with experimental data was carried out.
SOFTWARE ARCHITECTURE OF DIGITAL OIL-GAS FORMATION COLLECTION ATLAS MPhM
Authors: Соболев А.Ю. , Нестерова Г.В. , Черняк Н.М. , Ельцов И.Н.
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.
Myocarditis in Patients with COVID-19
Authors:   Unit of Diagnostic Imaging and Interventional Radiology, Departmental Faculty of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy, M Parillo , D De Stefano ,   Unit of Diagnostic Imaging and Interventional Radiology, Departmental Faculty of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
Published: January 2022

SARS-CoV-2 is an enveloped RNA beta coronavirus, identified as the pathogen responsible for coronavirus disease 2019 (COVID-19). It primarily affects the respiratory system; however, cardiovascular complications have been found in 30% of hospitalized patients, associated with worse outcomes. The virus can invade human host cell by binding with high affinity the Angiotensin Converting Enzyme 2 (ACE 2) receptor, which is expressed especially in the lungs and heart, where the human immune response can lead to an inflammation of the myocardium itself. Patients with myocarditis commonly experience nonspecific signs and symptoms; laboratory tests often revealed elevated marker of myocardial necrosis and inflammation while electrocardiogram in most patients have demonstrated features similar to an acute coronary syndrome. Echocardiography is the first method of investigation to evaluate the left ventricular systolic function. In suspected case, Cardiac Magnetic Resonance Imaging (CMRI) is acknowledged as the non-invasive gold standard test for myocarditis, also useful in assessing prognosis. Endomyocardial biopsy (EMB), although considered a gold standard for the diagnostic confirmation of myocarditis, is an invasive procedure that cannot be performed in all patients. Current management is mainly supportive in association with glucocorticoids.
Computer- and NMR-aided design of small-molecule inhibitors of the Hub1 protein
Authors: Surmiak Ewa , Kubica Katarzyna , Reyes Romero Atilio , Plewka Jacek , Rodriguez Ismael , Magiera-Mularz Katarzyna , Domling Alexander , Holak Tad
Published: January 2022

Protein-protein interactions play a key role in cell homeostasis and physiological functions of the organisms. Consequently, their malfunction leads to diseases such as cancer, metastasis and neurodegeneration. The Hub1/Snu66 interaction is responsible for controlling alternative splicing through non-covalent binding to the HIND (Hub1-Interacting Domain) domain of the Snu66 spliceosomal protein. To better understand how Hub1 works in living organisms, we conducted a study to find small molecules that have an affinity for the Snu66 binding site of Hub1. The in silico investigation was based on global peptide modeling followed by high-resolution protein-peptide refinement. Docking analysis of nearly 200 molecules in the binding pocket of Hub1 is also described. Finally, Nuclear Magnetic Resonance fragment-based screening was used to confirm our findings.
The Dynamic Covalent Chemistry of Amidoboronates: Tuning the rac5/rac6 Ratio via the B-N and B-O Dynamic Covalent Bonds
Authors: Harders Patrick , Griebenow Thomas , Businski Artjom , Kaus Anton , Pietsch Lorenz , Näther Christian , McConnell Anna
Published: January 2022

Amidoboronates were prepared as a mixture of up to three isomers (rac5, meso5 and rac6) from the reductive coupling of N-aryl iminoboronates with either cobaltocene or decamethylcobaltocene in acetonitrile. The interconversion of rac5 and rac6 isomers via rearrangement of their dynamic covalent B N bonds was investigated in solution by redissolving isolated crystals. The aniline para substituent and catechol within the amidoboronates tuned the distribution between the rac5 and rac6 isomers; the rac6 isomer predominated for amidoboronates based on pyrocatechol with electron-withdrawing substituents and no interconversion was observed for the rac5 isomers of amidoboronates based on tetrachlorocatechol. Furthermore, the rac5/rac6 distribution was altered by catechol exchange of pyrocatechol for tetrachlorocatechol exploiting the dynamic covalent B O bonds.
Comparison of dispersion characteristics of hollow-core photonic crystal fibers filled with aromatic compounds
Authors: Nguyen Thi Thuy , Dang Van Trong , Hoang Trong Duc , Le Tran Bao Tran , Le Bao Xuan , Tran Quoc Vu , Vo Thi Minh Ngoc , Chu Van Lanh
Published: January 2022

In this paper, hollow-core photonic crystal fibers (PCFs) infiltrated with benzene and nitrobenzene are designed and investigated. Their dispersion characteristics are numerically simulated. The results show that using the aromatic-compounds-filled hollow core of PCFs makes dispersion curves flat. In addition, the dispersion curves approach the zero-dispersion line closer than previously published dispersion curves of PCFs with toluene, thus significantly improving the supercontinuum generation to create the ultra-flat spectrum expansion.
Impact of Maxwellian averaged neutron capture cross-sections for 182W(n,γ)183W reaction on W isotopic compositions
Authors: Nguyen Nhu Le
Published: January 2022

The W isotopic compositions have been investigated within the classical approach to the s-process nucleosynthesis. The Maxwellian averaged neutron capture cross-sections (MACS) adopted in the calculation are obtained from the TALYS-1.9 code with four nuclear level density models: the constant temperature plus Fermi gas, the back-shifted Fermi gas, the generalised superfluid, and the microscopic method of Goriely. The results show that the uncertainty from MACS values is already propagated in the W isotopic ratios, and the generalised superfluid prediction exhibits the largest deviation from the observed 182W/184W ratio. In addition, since branching points have not been considered in this work, the MACS values of the 182W(n,γ)183W reaction are found not to affect the estimated 183W/184W ratio.
Effects of different nutrient solutions on growth and flower quality of gerbera (Gerbera jamesonii) grown in hydroponic close system
Authors: Le Thi Thuy , Nguyen Thi Mai , Nguyen Phuong Thao , Pham Thi Van
Published: January 2022

The nutrient solution is the decisive factor for the growth and development of hydroponic plants. This study was conducted to determine the effect of five nutrient solutions, namely, Hoagland, Knop, Hydro Umat F, BKFAST, and Bio-Life, on the growth and development of gerbera (Gerbera jamesonii) in the hydroponic system. The results show that Hydro Umat F is the most suitable solution for planting gerbera in terms of plant height, number of leaves, leaf size, and root volume. In addition, the flower yield of the gerbera plants nourished on Hydro Umat F is also the highest, with 8.7 flowers per plant after five months in the hydroponic system. The flowers have a diameter of 9.8 cm and natural durability of 19.67 days. Meanwhile, gerbera plants stop growing after 15 days in the Bio-Life solution and 30 days in the Knop solution.
Cis-regulatory hubs: a new 3D model of complex disease genetics with an application to schizophrenia
Authors: Mangnier Loïc , Joly-Beauparlant Charles , Droit Arnaud , Bilodeau Steve , Bureau Alexandre
Published: January 2022

The 3D conformation of the chromatin creates complex networks of noncoding regulatory regions (distal elements) and promoters impacting gene regulation. Despite the importance of the role of noncoding regions in complex diseases, little is known about their interplay within regulatory hubs and implication in multigenic diseases such as schizophrenia. Here we show that cis-regulatory hubs (CRHs) in neurons highlight functional interactions between distal elements and promoters, providing a model to explain epigenetic mechanisms involved in complex diseases. CRHs represent a new 3D model, where distal elements interact to create a complex network of active genes. In a disease context, CRHs highlighted strong enrichments in schizophrenia-associated genes, schizophrenia-associated SNPs, and schizophrenia heritability compared with equivalent structures. Finally, CRHs exhibit larger proportions of genes differentially expressed in schizophrenia compared with promoter-distal element pairs or TADs. CRHs thus capture causal regulatory processes improving the understanding of complex disease etiology such as schizophrenia. These multiple lines of genetic and statistical evidence support CRHs as 3D models to study dysregulation of gene expression in complex diseases more generally.
Divine Commands Are Unnecessary for Moral Obligation
Authors: Wielenberg Erik
Published: January 2022

Divine command theory (DCT) is experiencing something of a renaissance, inspired in large part by Robert Adams’s 1999 masterpiece Finite and Infinite Goods.  I argue here that divine commands are not always necessary for actions to be morally obligatory.  I make the case that the DCT-ist’s own commitments put pressure on her to concede the existence of some moral obligations that in no way depend on divine commands.  Focusing on Robert Adams’s theistic framework for ethics, I argue that Adams’s views about good, evil, reasons, and the nature of moral obligation suggest that there can be moral obligations that exist independently of any divine commands.  My argument proceeds through the development of an example in which there is a moral obligation that is not even partially grounded in a divine command.  I focus primarily on Adams’s view because, many contemporary divine command theorists work in a broadly Adams-ian framework, so the argument that I advance here poses a challenge for many contemporary versions of DCT.
Perspectives of Functional Programming of Parallel Computations
Authors: Городняя Лидия Васильевна
Published: January 2022

The article is devoted to the results of the analysis of modern trends in functional programming, considered as a metaparadigm for solving the problems of organizing parallel computations and multithreaded programs for multiprocessor complexes and distributed systems. Taking into account the multi-paradigm nature of parallel programming, the paradigm analysis of languages and functional programming systems is used. This makes it possible to reduce the complexity of the problems being solved by methods of decomposition of programs into autonomously developed components, to evaluate their similarities and differences. Consideration of such features is necessary when predicting the course of application processes, as well as when planning the study and organizing the development of programs. There is reason to believe that functional programming has the ability to improve programs performance. A variety of paradigmatic characteristics inherent in the preparation and debugging of long-lived parallel computing programs are shown.
METHODOLOGICAL ASPECTS OF STUDYING INNOVATION INFRASTRUCTURE
Authors:   Shukhov Belgorod State Technological University, Pavlova Irina G.
Published: January 2022

The author analyzes the innovation infrastructure from the point of view of its methodological basis, with consideration of the features for the concept interpretation; besides he gives the properties and elements of the complex of interdependent structures in innovation activity. The article reflects the need to form such an innovative infrastructure, which will subsequently give an impetus not to extensive economic development (transformation of quantitative parameters in order to expand the reproduction of both the financial and material resources), but to purposefully innovative one (rapidly changing rates of improvement in people’s life contribute to accelerating the demand for the quality of goods and services provided and for their diversification – creation and formation of technoparks, technopolises, the production facilities, of which the basis is intellectual productivity and capital). The structure and components are also studied, the functionality of the innovation infrastructure is presented in the context of three positions, the main approaches to the study of the current process are highlighted. The presented analysis allowed drawing a conclusion that innovation is a link between companies in a civilized way. Today the central issue is the formation of arguments for the innovative way of action of all economic entities and the expansion of their combined implementation with the research and development sector with support for the developed innovative infrastructure.