bluuebunny/crossref_metadata_2025 huggingface dataset:
Solution Of Singularly Perturbed Delay Differential Equations Using Liouville Green Transformation
Authors: Et. al. M. Adilaxmi ,
Published: April 2021

This paper envisages the use of Liouville Green Transformation to find the solution of singularly perturbed delay differential equations. First, using Taylor series, the given singularly perturbed delay differential equation is approximated by an asymptotically equivalent singularly perturbation problem. Then the Liouville Green Transformation is applied to get the solution. The method is demonstrated by implementing several model examples by taking various values for the delay parameter and perturbation parameter.
Effect Of Execution Time Analysis Epl Program For Computational Thinking Of Elementary School Students ^
Authors: Et. al. Woojong Moon,
Published: April 2021

Software education has emerged as a hot topic around the world, with the goal to raise interests on computational thinking. However, assessments on the computational thinking have not been actively conducted thus far. According to a study by Lee (2019), which analyzed 138 papers on computational thinking published in Korean journals from 2015 to 2018, software education has been introduced and studies on computational thinking are being conducted, but studies on teaching methods that2 improve computational thinking are needed. In this study, we developed and applied a primary educational programming language(EPL) program focused on execution time analysis aimed at improving computational thinking. By using the “Bebras Challenge” as an assessment tool and SPSS as a statistical tool, educational effects were analyzed through the results of pre- and post-computational thinking assessments. The analysis outcomes showed that the EPL education focused on execution time analysis was effective in improving the computational thinking of elementary school students. Putting execution time analysis EPL into primary software education as an educational topic will be effective in improving computational thinking.
Moderating Impact of Sustainable Building Awareness on the Relationship between Sustainability Concepts Application, Sustainability Constraints, and Knowledge Level
Authors: Et. al. Nuruddeen Usman,
Published: April 2021

Stakeholders do not adopt the concept of sustainable building in the building industry. Therefore, this research aimed at study the stakeholders' level of knowledge, awareness, and constraints of building sustainability concepts and how they affect the adoption of building sustainability concepts. A quantitative research design was employed using a questionnaire. A research sample of 201 was collected via a structured questionnaire survey that was randomly selected from 420 registered professionals in northwest Nigerian. Data collected were analysed using the SPSS and WarpPLS packages. The findings show that the level of knowledge and awareness was moderate among the stakeholders. Likewise, sustainability constraints have a negative effect on the adoption of building sustainability concepts, level of knowledge has a positive effect on the adoption of building sustainability concepts; awareness of sustainability concepts has improved the effectiveness of the relationship between sustainability constraints and adoption of building sustainability concepts, and awareness of sustainability concepts improves the effectiveness of the relationship between the level of knowledge and adoption of building sustainability concepts. Therefore, there is a need for the developing nations to emphasized regular sensitization of sustainability concepts and principles so that the menace of lack of its adoption can be curtailed.
The Effect of The Strategy of The Memory Game on The Achievement of Chemistry Among the First Intermediate Grade Students
Authors: Et. al. Mohammed Mishal Raheem,
Published: April 2021

The present study aimed to know “the effect of the memory game strategy on the achievement of chemistry among first-grade intermediate students.” To achieve this, the researchers chose the Al-Ma'moun Intermediate School for Boys affiliated to the Baghdad Education Directorate Al-Karkh / 1. ) Students for the experimental group and (33) students for the control group, and the researchers formulated (180) behavioral objectives within the levels of (remembering, comprehension, application, analysis) according to Bloom's classification of the cognitive domain, and the researchers prepared an achievement test consisting of (40) objective items Of the multiple choice type, and its psychometric properties were confirmed, and after processing the data statistically by using the T-test for two independent samples, the study reached the superiority of the experimental group who studied chemistry according to the memory game strategy in the achievement test of chemistry over the control group for those who studied on According to the usual method, and after interpreting the results, recommendations and proposals are drawn up.
Mathematic Model Design Of Solar Pumping For Drip Irrigation Systems
Authors: Et. al. Mhamdi Hicham,
Published: April 2021

The use of solar energy in isolated sites for different applications, such as water pumping, is of primary interest to people in developing countries who do not have safe access to water drinking. But photovoltaic generators have two major drawbacks that are a low yield and a high blow. In order to increase the performance of these systems. Proper adaptation between the solar generator and the load reduces the cost of installation. The choice of an energy system must obey and comply with certain rules. The selected energy system must show as a preliminary its competitiveness with respect to other systems for the same rendered service.  The present study have a propose the modeling, simulation, sizing and realization of a photovoltaic pumping system operating over the sun. This system consists of a set of interacting elements; namely the photovoltaic panels, the voltage inverter, the asynchronous motor, the centrifugal pump and the hydraulic circuit.
Heat And Mass Transfer With Radiation In A Convective Flow Between Vertical Wavy Channels Due To Travelling Thermal Waves
Authors: Et. al. R. Sakthikala,
Published: April 2021

The objective of this paper is to investigate analytically the convective flow of heat and mass transfer in vertical wavy channels due to travelling thermal waves. Effect of radiation, temperature dependent heat source/sink, concentration dependent mass source are taken into account. To tackle the highly complex non-linear problem, the perturbation technique is applied with long wave approximation.
The Ways Of Expressing Condolences Implicitly And Their Effect On Sociolinguistics.
Authors: Et. al. Akobirova Sarvar Tuevna,
Published: April 2021

The article considers condolence as a form of English speech etiquette, analyzed as an expressive speech act. The relevance of teaching speech etiquette in a situation of condolence lies in the fact that the effectiveness of learning English increases in the conditions of modeling a real communicative situation. Linguistic means of speech act expression are considered. It introduces sociolinguistics by means of five areas of research: quantitative sociolinguistics, conversation analysis, register variation, discourse analysis, and the sociology of language.
Inherent Presence Of Children In Society "Proposed Criteria And Indicators."
Authors: Et. al. Nermeen Singer,
Published: April 2021

This study shows that achieving the child's inherent presence is a vital requirement for a life he deserves, as the child's inherent existence is the extent to which the child gets a sense of satisfaction with life. This is according to key components such as integration in mutual relationships and opportunities to develop life skills and develop children's right to express their views and create a healthy and child-friendly climate.

The research supports enabling early childhood professionals to work together with children's families to achieve common outcomes for all children. Promote all learning and development outcomes. The results confirm the importance of sensitive practice and responding to children's desires and need to support their real presence in society.

The study resulted in indicators and practices carried out by the child and his teachers in all five areas of the feeling of original existence which are developing children's strong sense of identity, developing children's connection to and participation in their world, improving children's sense of personal happiness, development and improvement of self-confidence in children, and developing and refining effective dialogue with children.

The novelty of the study is shown from the achieving the child's original existence is a vital requirement for a life he deserves, as the child's original presence is that extent to which the child gets a sense of satisfaction with life according to key ingredients such as integration in mutual relationships and opportunities to develop life skills and develop children's right to express their own views Create a healthy environment for children.
Diabetes With Co-Morbidities Of Covid19 Using Covid19 Lungs Images
Authors: Et. al. Vadthe Narasimha,
Published: April 2021

Diabetes is a nightmare disease to fight, and it's prevalence of diabetes is been increasing every single day worldwide, India seems recording a high number of cases. As a condition, diabetes can also invite other health problems, COVID-19 being one of them. COVID-19 that's reputed to have emerged out of Wuhan (China) has generated a severe effect on nearly each modern society of the planet. As a result of issues due to this specific wellness catastrophe all around the Earth, that the World Health Organisation (WHO) has announced it's a international outbreak. COVID-19 is still a state that will get worse with co-morbidities. Researches snare that individuals Afflicted by diabetes Experience with worse results, possess a higher Danger of seriousness, and extended recovery period. In this paper we are trying to study and analyse the impact of covid-19 on the diabetic patients using the lung chest images. This study helps the doctors to understand more about the patients and overcome serious factors. We use Deep Learning methods to study the images and co-morbidities of diabetics with covid-19.
Energy Model for a Differential Guide Mobile Robot using Modelica Language
Authors: Et. al. Fadlo Said,
Published: April 2021

Energy consumption is an important element in the autonomy of mobile robots. In this paper, an energy model has been developed in Modelica language. The power of the Modelica® language is shown by simulating the energy model for a differential guide mobile robot as well as the motors. The model is tested with typical motor energy, mixed energy models, and a trapezoidal velocity as input.
Impact of Social Media on Consumer Behaviour
Authors: Et. al. Amandeep Singh,
Published: April 2021

This paper encompasses the research studies done on the impact of social media on consumer behaviour. Social media is used by billions of people around the world and has fast become one of the defining technologies of our time. People are using various social media websites and because of that the entire marketing landscape is changing. Massive audience is available who are spending many hours a day using social media across the various platforms and are majorly involved in information processing, entertainment and social connection activities, it is not surprising that marketers have started utilising social media as a marketing channel. Companies now place considerable value on the way in which social media can be used to shape consumer’s brand/product perception and influence their buying decision. Rather than focusing on short-term advertising through technology, companies are integrating social media mechanisms to enhance the relationship with consumers. Therefore, companies need to better understand the changing behaviour of consumers, in order to create mutual benefits from the use of social media. So, the research paper talks about what activities the consumer are involved in, how branding on social media is important and how it can help in marketing the goods/services. It also highlights how user generated content helps in marketing of a company and what will be the future of social media and areas the companies should focus on which will impact the consumers behaviour.
State-Of-The-Art In Video Processing: Compression, Optimization And Retrieval
Authors: Et. al. G. Megala,
Published: April 2021

Video compression plays a vital role in the modern social media networking with plethora of multimedia applications. It empowers transmission medium to competently transfer videos and enable resources to store the video efficiently. Nowadays high-resolution video data are transferred through the communication channel having high bit rate in order to send multiple compressed videos. There are many advances in transmission ability, efficient storage ways of these compressed video where compression is the primary task involved in multimedia services. This paper summarizes the compression standards, describes the main concepts involved in video coding. Video compression performs conversion of large raw bits of video sequence into a small compact one, achieving high compression ratio with good video perceptual quality. Removing redundant information is the main task in the video sequence compression. A survey on various block matching algorithms, quantization and entropy coding are focused. It is found that many of the methods having computational complexities needs improvement with optimization.
Assessing Statistical Literacy Level of Postgraduate Education Research Students in Malaysian Research Universities
Authors: Et. al. Ibnatul Jalilah Yusof,
Published: April 2021

Statistical literacy is an essential component of research literacy demanded for the research students to master as they are required to read, comprehend, and evaluate research articles. Misinterpretations of data and research findings are among the unfavorable results in the lack of research literacy. Consequently, it will affect the quality of their research and eventually leads to ripple impact on other researchers. However, this study is still under researched especially among postgraduate research students. Therefore, this paper examined statistical literacy level among postgraduate research students. This study was a survey conducted with a sample of 236 education postgraduate research students by using a set of statistical literacy items. The data were analysed using Rasch Analysis approach which includes item and person measures. Findings suggested that postgraduate students‘ statistical literacy level is at Moderate Low level. The findings also revealed that the hardest items to be answered by the students are related to hypothesis testing (significant value). In order for students to improve their statistical literacy, this study suggested that the instructors and institutions to reexamine and to explore new methods of teaching and learning statistics.
Validation of Land Fragmentation and Rural Sustainability Assessment Scale
Authors: Et. al. Abba Saleh,
Published: April 2021

This study was conducted to assess the validity of land fragmentation and rural sustainability assessment scale (LFRSS). To achieve the purpose a cross-sectional survey design was adopted with a sample of 40 selected from local governments in Yobe State Nigeria. The instruments contained 71 items spread among the 3 constructs of land fragmentation, causes of land fragmentation and rural sustainability. The data collected was entered into Microsoft Excel 2016 and SPSS 25 was used for the Analysis. The scale was evaluated through content validity with experts and Reliability with Cronbach’s Alpha technique. The results indicated that, the scale has substantial content validity and acceptable reliability values of 0.77 (land fragmentation), 0.74 (causes of land fragmentation) and 0.75 (rural sustainability). However,8 items on the overall failed to satisfied the condition to be certified as valid and thus, entirely removed form the scale (4 in causes of land fragmentation and 4 in rural sustainability). Accordingly, with the satisfaction of measurement requirements by 63 items, it can be concluded that, the developed LFRSS validated in this study can be used to assess the extent of land fragmentation and rural sustainability in Yobe state Nigeria.
NdRAdAC: Need based Access Control Framework for an Emergency Response System
Authors: Et. al. Kriti Srivastava,
Published: April 2021

Access control is easy to implement in a static system with resource-role mapping and known policies. It becomes challenging if the system is dynamic and volatile, which means there are unpredictability in the workflow. Existing role based and attribute- based access control systems are very efficient in static and predictable situations. But they are not effective in a dynamic situation. Researchers over the last two decades have tried to propose various probabilistic based, machine learning based and decision theory-based access control to prove adaptability in their access control methods. But there are existing gaps in operational needs and proposed adaptability methods. Under regular scenario access control system may work based on the policies or decided roles. Only if there is a genuine need, then access control should switch to adaptable solutions. Also, a true adaptable system should not allow human intervention, the system should be able to understand the genuineness of the requester and take decisions whether access should be granted or not. In this paper with the help of a disaster management case study, a need-based access control framework – NdRAdAC is proposed. It evaluates the genuineness of the requester and acts appropriately. An ontology-based access control for an emergency response system is developed, which can help the disaster management system to coordinate with different hospitals and help in transferring patient data from one hospital to another if needed. It ensures that data requester is authenticated with the help of access control module. The framework is tested for three main parameters: Adaptability, Consistency and Computational Efficiency. It was found that framework was accurately adaptable, consistent with all the different types of cases and computationally efficient.
Analysis of Fuzzy Non-preemptive Priority Queuing Model with Unequal Service Rate
Authors: Et. al. K. Selvakumari,
Published: April 2021

This article provides an effective method to analyze the performance measures of non-preemptive fuzzy priority queues with unequal service rates. Here the arrival rate and the service rate are in fuzzy numbers. Using a new ranking method, the fuzzy values are reduced to the crisp values. For that cause, both the Triangular Fuzzy Number (TFN) and Trapezoidal Fuzzy Number (TpFN) are chosen to establish the proposal's effectiveness. An illustration is given to find the efficiency of the performance measures of the fuzzy queuing model.
Solving Vibrating Spring Problem Using Variational Formulation
Authors: Et. al. Ameera N. Alkiffai,
Published: April 2021

This scientific study is concerned with an integral equation, especially with Volterra integral equation and used new variational formulation which corresponds on the linear operator Lu=f. The vibrating spring equation has been solved using this approach.
Transformational Leadership Model & Marketing Supporting the Rall of Auditor According to Job Ethics and International Accounting Standard
Authors: Et. al. Atared Saad Jebur AL-Mashhadi,
Published: April 2021

The research includes (an exploratory study of economic units in Iraq after the year 2003). The aims of our study can be clarified through the following questions: First: Does the exercise of the supervisory role in the economic unit require an important and essential role for the auditor based on the transformational leadership and self-marketing component. Second: Exercising the supervisory role in the economic unit requires adopting the arts of self-marketing for the accounts auditor to convey the content of his ideas and his method of work. Third: Does the application of international standards require the auditor’s involvement in a transformative leadership role, in order to reduce tensions and differences of opinion regarding the application of the mentioned standards. Fourth: Do workers in the various departments of the economic unit and mainly in the accounting departments need to be directed and led towards the new reality of applying international standards, or not.
Impact Of Machine Learning Models In Pneumonia Diagnosis With Features Extracted From Chest X-Rays Using VGG16
Authors: Et. al. G. Jignesh Chowdary,
Published: April 2021

Pneumonia is a viral, bacterial, or fungal infection that leads to the accumulation of pus or fluids in the alveoli of lungs causing breathlessness, lung abscess, or even death at later stages. Pneumonia is affecting a huge population across the globe. A quite large number of child deaths due to pneumonia are recorded which is significantly greater than death due to AIDS, malaria, and measles. Pneumonia diagnosis is considered one of the high priority research areas in Biomedicine. In this paper, a detailed comparative study was performed using various machine learning algorithms namely Random Forest (RF), Logistic Regression (LR), and Support Vector Machine (SVM). These models are trained with features extracted by a pre-trained deep convolutional neural network (DCNN), VGG16 for the diagnosis of pneumonia from chest x-rays. The combination of VGG16 along with Machine learning models witnessed a considerable improvement in accuracy with reduction in time consumed for training against the usage of DCNN models for prediction. The results of various machine learning models are fine-tuned by modifying the hyper parameters. By comparison, SVM with RBF kernel is identified to perform better than other classifiers.
Mining Frequent Itemsets Without Candidate Generation In Machine Learning
Authors: Et. al. B. Satheesh,
Published: April 2021

Mining of regular trends in group action databases, time series databases, and lots of different database types was popularly studied in data processing research. Most previous studies follow the generation-and-test method of associate degree Apriori-like candidate collection. In this study, we seem to propose a particular frequency tree like structure, which is associated degree of prefix-tree like structure that is extended to be used for compressed storage, crucial knowledge of the frequency pattern, associated degrees create an economic FP-tree mining methodology, FP growth, by the growth of pattern fragments for the mining of the entire set of frequent patterns. Three different mining techniques are used to outsize the information which is compressed into small structures such as FP-tree that avoids repetitive information scans, cost. The proposed FP-tree-based mining receives an example philosophy of section creation to stay away from the exorbitant age of several competitor sets, and an apportioning-based, separating and-overcoming technique is used to divide the mining task into a contingent knowledge base for restricted mining designs that effectively reduces the investigation field.
Impact of Job Satisfaction on Organizational Citizenship Behaviour Mediated by Organizational Commitment in Public Sector Banks
Authors: Et. al. Anand Karuna,
Published: April 2021

The purpose of this paper is to investigates the extent that impact of job satisfaction on organizational citizenship behaviour mediated by organizational commitment in public sector banks. In past decades organizational citizenship behaviour developed a significant concept in the field a of management and psychology and established an inordinate transaction of consideration in the literature. Job satisfaction is an essential aspect of employee performance and success. Employees who are satisfied will go much beyond their job roles and this will improve organizational effectiveness. The sample size is 309 and data was collected from public sector bank employees through questionnaire. Correlation and regression analysis both were used to test the hypotheses in this study. All the present variables in this research were found to be expressively associated with each other.
IOT Based Home Security And Automation Using Google Assistant
Authors: Et.al E.Shirisha
Published: April 2021

Internet of Things (IOT) is an important technology that affects the internet and communication technology. IOT allows people and objects to be connected anytime, anywhere, in any way/shape and function. Earth's mechanical systems have become very popular in the last few decades and improved living conditions. This project provides the structure and model of an automated earth system. The most important feature is the Raspberry pi, which has an internal Wi-Fi module that allows you to control your device over the Internet. It supports a variety of earth tools, such as energy management systems. Besides, the application is built where the user can control the device using Google Assistant. The IOT project also aims to build a wireless home protection system that uses the ESP32 camera Node MCU module to send alerts to owners if anyone takes a picture of the door and sends it to the owner.
Implementation of FPGA accelerator architecture for Convolution Neural Network in Emotional Recognition System
Authors: Et.al Samson Immanuel J
Published: April 2021

The field of deep learning, artificial intelligence has arisen due to the later advancements in computerized innovation and the accessibility of data information, has exhibited its ability and adequacy in taking care of complex issues in learning that were not previously conceivable. The viability in emotional detection and acknowledging specific applications have demonstrated by Convolution neural networks (CNNs). In any case, concentrated Processor activities and memory transfer speed are necessitated that cause general CPUs to neglect to accomplish the ideal degrees of execution. Subsequently, to build the throughput of CNNs, equipment quickening agents utilizing General Processing Units (GPUs), Field Programmable Gate Array (FPGAs) and Application Specific Integrated circuits (ASICs) has been used. We feature the primary highlights utilized for productivity improving by various techniques for speeding up. Likewise, we offer rules to upgrade the utilization of FPGAs for the speeding up of CNNs. The proposed algorithm on to an FPGA platform and show that emotions recognition utterance duration 1.5s is identified in 1.75ms, while utilizing 75% of the resources. This further demonstrates the suitability of our approach for real-time applications on Emotional Recognition system.
A Study on The Effect Of Defect Location On Stress In Bending Pipe
Authors: KIM Jin-Bong
Published: April 2021

In this study, the stress that generated when the first or second root of a corrugated pipe is defective is analyzed. The model is analyzed using F.E.M. code. The boundary conditions of deflection or torsion on the opposite side of the defect in the corrugated pipe are changed. The effect of the defect is evaluated using the change of the stress magnitude and the stress concentration factor(K) according to those conditions. As a result of comparing the stress magnitude, K around the flaw at the secondary root is larger than K around the flaw at the first root. Based on the position of the defect, the stress difference in the 1st root increases depending on the boundary condition of bending deflection. However, when the 2nd root is defective, the stress magnitude is similar in both cases regardless of the bending deflection. The magnitude of the stress generated in the corrugated pipe is the highest when the second root is defective. And the stress magnitude is the lowest when there is no defect. In the absence of defects, the stress gradually increases after the stress reaches the minimum value as the amount of deformation increases. However, if there is a defect, stress continues to increase, and when it passes through the plastic zone, the stress gradually increases.
Use of Human Motion Data to Train Wearable Robots
Authors: Et.al JIBUM JUNG
Published: April 2021

Development of wearable robots is accelerating. Walking robots mimic human behavior and must operate without accidents. Human motion data are needed to train these robots. We developed a system for extracting human motion data and displaying them graphically.We extracted motion data using a Perception Neuron motion capture system and used the Unity engine for the simulation. Several experiments were performed to demonstrate the accuracy of the extracted motion data.Of the various methods used to collect human motion data, markerless motion capture is highly inaccurate, while optical motion capture is very expensive, requiring several high-resolution cameras and a large number of markers. Motion capture using a magnetic field sensor is subject to environmental interference. Therefore, we used an inertial motion capture system. Each movement sequence involved four and was repeated 10 times. The data were stored and standardized. The motions of three individuals were compared to those of a reference person; the similarity exceeded 90% in all cases.

Our rehabilitation robot accurately simulated human movements: individually tailored wearable robots could be designed based on our data. Safe and stable robot operation can be verified in advance via simulation. Walking stability can be increased using walking robots trained via machine learning algorithms.
Lifelong Education as a Challenge of Digital Era
Authors: Ulviyya Rzayeva, Rena Huseynova Aida Guliyeva, Tarana Aliyeva,
Published: April 2021

Digital trends in social and economic development change the labour concepts and attitudes towards careers. Through the life course people more often change their job, residence, specialty. That circumstance implies the need for new skills or retraining within the space of lifetime. This study is based on the assessment of the continuity of Azerbaijani education in the digital economy. The work was performed within the framework of the methodology proposed by the World Bank and aimed at interpreting and combining particular outputs of statistical studies, since a comprehensive statistical survey of the digitization of education has not yet been carried out. The results, on the one hand, indicate great promise in terms of system enhancements and expansion of lifelong education opportunities for all categories of citizens through development of the Azerbaijani digital space and increase the number of training organizations. On the other hand, the development of this direction is weak and of an ad hoc nature: specific goals and objectives, supply and demand, formal and informal methods in each field of Azerbaijani education are not fully taken into account.
Education and Development: Efforts to Measure Human Well-Being
Authors: Fargana Musayeva Adalat Muradov, Yadulla Hasanli,
Published: April 2021

It is evident from research on economic and social progress that economic growth does not always lead to social progress but, in some cases, leads to increased socio-political tension, social inequality and poverty. Even having increased production of aggregate product on background, the state of the population is deteriorating and economic growth does not provide for a fair distribution of income. A new approach to the concept of economic development began in the global economy in the late XX century. According to these approaches, economic growth cannot be considered as the main purpose and the indicator of development. In addition to economic growth, there are a number of indicators and their mutual relationship promote human development and well-being.

This article examines the correlation between indicators characterizing the welfare of the population and economic growth, comparing the position of Azerbaijan in the accounts of international economic organizations on the relevant indicators. The authors did a comparative analysis with other countries, the impact of human development on people's incomes and the role of education in the wellbeing of the population.
Older, How? The Importance of Practising Educative and Healthy Activities
Authors: Carlos Sousa Reis María José Flores Tena,
Published: April 2021

This research aims to study active ageing by participation in educative and healthy activities (PE&HA) at centres that provide active ageing programmes. An exploratory quantitative study was undertaken, envisaging to explore the relationship between certain variables (age, sex, attendance and type of activity) and the degree of satisfaction with PE&HA. An intentional non-probabilistic sampling was applied to select 800 persons over 55, corresponding to users of various senior centres located in four districts of Madrid, Spain. The data collection instrument consisted of 29 easy-to-understand questions grouped into six dimensions. Results of the questionnaire indicate that users are satisfied with PE&HA offered by the centres. According to 78% of the respondents, the participation in workshops and other group activities contribute to a better quality of life in the elderly, and no statistically significant differences were found between the users’ degree of satisfaction and gender. This research provides possible improvements in areas that will contribute to preventing dependence; for example, those in which there is a greater demand from users. As proposals for improvement, we suggest designing specific strategies to obtain more male participation in senior centre workshops.
Knowledge of the Corporate Social Responsibility Concept as a Part of the Intellectual Capital of Small and Medium-sized Organizations from the Perspective of Lifelong Learning
Authors: Tetiana Arkhangelska Dana Bernardová, Martin Fink,
Published: April 2021

The concept of corporate social responsibility (CSR) can be understood as a part of the intellectual capital (IC) of organizations, as a set of tacit knowledge of CSR holders transferred into the form of explicit knowledge recorded in the documents of organizations. The aim of this study, in terms of lifelong learning, is to determine whether CSR is a part of the IC, whether the knowledge of the CSR concept is of a tacit or explicit nature and to what extent the potential of such knowledge is used by small and medium-sized organizations (SMEs). The presented data are a selection taken from 3 studies carried out by the authors in 2014-2019. The study was conducted in the Olomouc region, SMEs were the respondents, and the content of the study referred to CSR. The data show that a tacit form of knowledge of the CSR concept prevails.
Modern Educational Technologies and National Interests
Authors: Aysel Garibli Emin Garibli,
Published: April 2021

As we know, one of the lifelong learning forms, which is the correspondence education, has received a wide circulation in our country. However, we have recently mentioned that the type of education should be adapted to modern conditions. As a way out from this situation, the article analyzed the specifics of the distance and supplementary education in the world and the stages of development. Mechanisms of application of existing educational technologies in Azerbaijan were studied. In order to achieve the goals mentioned in the article, the relevant legislation of Azerbaijan has been prepared and recommendations for institutional reforms have been prepared. In the context of globalization, the development of new technologies has negative effects, though there are positive effects. The strengthening of globalization leads to the inequality of development among countries, the sharp differences in the living standards of the population, the escalation of language, religion, traditions and, ultimately, the weakening of national state institutions. In this case, the protection and development of the state language is of great importance and special attention should be paid to this problem. At the end of the article, we came to the problem from another aspect, and we believe that if we use the right technologies properly and precisely, it can be achieved through the promotion of mother tongue.  Our compatriots living abroad will be able to acquire new knowledge and will not forget and develop their mother tongue with effective use of remote training technologies. Millions of our compatriots living abroad will be able to benefit from these advantages. In order to achieve this, it is important to use the modern IT technologies' innovations as well as the effective use of language teaching methods for language development carried out by linguists.

We believe that there is a relationship between these two factors, and when analyzing lifelong learning issues, there is a need for two aspects. At the end, it should be noted that we have to analyze the problem from different perspectives and make suggestions.
The Role of International Standards in Improving the Quality of Enterprises
Authors: Konul Azizova Kheyri Umudova, Leyla Yusifova,
Published: April 2021

One of the main problems facing organizations that exist today is adapting to the conditions of market economy and to protect the position it has reached in the market. Recently, as the main result of the rapid development of science and technology the world economy put the high quality of produced products and offered services to enterprises as the main requirement. Therefore, entrepreneurs prefer the use of International Standards that have been tested successfully by many enterprises in many developed countries around the world. Compliance with these requirements will give the company the advantages of increasing image, profits, reducing production costs and losses, as well as access to the international market. High quality of the product, its competitiveness and very easy access to foreign markets are achieved by implementing the requirements of International standards such as ISO 9001, GOST P ISO 9001, EQS, GMP, HACCP, QS 9000, OHSAS 18001 etc.
Examination of convalescents after West Nile fever for the specific IgM, IgG and neutralizing antibodies
Authors: Azaryan Alla R. , Kozlova A. A , Grishanova A. P , Ivashchenko E. I , Shendo G. L , Kovtunuv A. I , Antonov V. A , Viktorov D. V , Smelyansky V. P , Snatenkov E. A , Barkova I. A , Larichev V. F , Butenko A. M
Published: April 2021

The examination was executed in the Astrakhan region over 2013-2014 with participation of three laboratories. In 26 convalescents after West Nile Fever (WNF) with the serological confirmed diagnosis of WNF blood sera were examined. Neurological form of WNF was observed in 8 cases, and febrile form - in 8 convalescents. Sera have been collected in 243-358 days, on average, in 308 days after the beginning of a disease. For their examination there were used IFA-IgM ELISA (MAC-ELISA), IgG ELISA methods as well as neutralization test in Vero E6 cell culture. The results of the examination in 24 of 26 patients (92, 3%) for IgM antibodies to the virus WNF were negative. In two convalescents according to the laboratories in Astrakhan and Moscow in sera there were observed low titers of IgM (1:400) with minor indices of sera optical density (0.3 to 0.4) and negative results in the Volgograd Plague Control Research Institute. Serum samples of other two convalescents were weakly positive or questionable in testing in Volgograd, but were negative when examined in the Institute of Virology. Specific IgG antibodies were detected in 23 of 26 convalescents (88.5%), neutralizing in 22 of 24 (91.7 %). These data confirm the adequacy of the criteria and tactics for WNF serodiagnosis adopted in Russia based on the application of the MAC -ELISA (IFA - IgM).
Clinical and immunological features of inflammation in lyme borreliosis
Authors: Moshkova D. Yu , Avdeeva Marina G.
Published: April 2021

The cytokine status was studied in 46patients hospitalized in Specialized Clinical Infectious Diseases Hospital in 2013-2014. Acute course of the infection of Ixodes tick borreliosis (ITB) was observed in the 41 (89%) case, subacute and chronic - in 5 (11%), in the dynamics of the disease there was studied the level of proinflammatory (IFN-y, IL-1β, IL-2) and anti-inflammatory ( IL-4, IL-10) cytokines. The average age of diseased patients in the acute course of the erythemalform of ITB amounted to 41,1 ± 1,83 years, men accouted for 37%, women - 63%. In 31.1% of the patients there were observed symptoms of the involvement of the peripheral nervous system PNC, in 51.1% - changes in the cardiovascular system. For the acute course of the erythemal form of ITB there is typical the significant increase ofIL-1β, IFN-y and IL-4 level, while in maintaining of normal levels of IL-2 and IL-10 low values in the majority of patients. In subacute and chronic course of Ixodes borreliosis there is persisted the elevated level of IL-1β, IFN-y, normal values of IL2 and low values of IL-10, while the level of IL-4 is also lowered. The increase of the IL-2 level in the acute course of the erythemal form of Ixodes borreliosis is associated with fever and involvement of the cardiovascular system. In the process of causal treatment with ceftriaxone (examination on the 5th and 12th day of the treatment) there was a significant decrease in the level of IL-2 (p
Whether soil-transmitted helminthiases elimination is feasible within framework of WHO 40 programme on neglected tropical diseases implementation
Authors: Litvinov S. K , Morozov E. N , Kuznetsova K. Yu , Zhirenkina E. N
Published: April 2021

The authors critically consider the feasibility of the elimination of soil-transmitted helminthiases as the public health problem within the framework of recently established WHO programme "Neglected tropical diseases". This objective proposed by the programme seems to be rather questionable due to practically complete lack of use so called sanitary and helmintological approach, which has been successfully and effectively utilized in our country in control of ascariasis and trichocephaliasis. The weakest link in achieving this ambitious goal is the almost complete disregard for health helminthology approaches, the importance and high effectiveness of which has been demonstrated in the our country in the processs of the ascariasis and trichuriasis control. The possibility of elimination of geohelminthiases without the use of these approaches seems to be very doubtful.
Case of acute acquired toxoplasmosis treatment during pregnancy
Authors: Konchakova A. A , Avdeeva Marina G. , Kulbuzheva M. I
Published: April 2021

There is reported an example of a clinical diagnosis and successful treatment of acute acquired toxoplasmosis, manifested in the first trimester of pregnancy. Implementation of specific antiparasitic therapy starting from the second trimester of pregnancy contributed both to the normalization of the status of women and prevention of congenital malformations of the fetus. Dynamic following up of the child showed stable positive neurological status, psychomotor development corresponded to age over 8 years. The increasing of cytochemical activity of monocytes and lymphocytes is a sensitive additional diagnostic test for acute toxoplasmosis in pregnant women.
Probability of biorisk occurrence attached to the performance of work with pathogenic biologic agents of the I-II groups of hazard
Authors: Malyukova T. A , Boyko A. V , Panin Yu. A , Bezsmertnyy V. E , Kutyrev V. V
Published: April 2021

For the first time ever, there was executed the retrospective analysis of accidents, associated with performance of work with pathogenic biologic agents (PBA) of the I-II groups of hazard, registered at the plague control institutions of the Federal Service for Consumer Rights Protection and Human Welfare,. The main causes are outlined. There are identified the focus areas for the enhancement of biological safety provision approach.
Achievements in diagnosis and treatment of hepatocellular carcinoma: case report and review
Authors: Chernobrovkina Tatyana Ya. , Yankovskaya Ya. D , Litvinova O. S , Oganesyan A. P
Published: April 2021

In the analytical review there was performed the analysis of the epidemiological situation on hepatocellular carcinoma (HCC). There were described riskfactors of its development and mechanisms of carcinogenesis. Also here there are presented different classifications of HCC, etiology, diagnostic tactics in cases of suspicion on HCC and variants of the treatment. The HCC case is described in a patient with the outcome of liver cirrhosis
The study of the area of distribution of west nile virus in the territory of the European part of Russia; the results of seroepidemiological research. report 1: Astrakhan region, Krasnodar region, Stavropol region, Saratov region
Authors: Kozlova Alina A. , Butenko A. M , Larichev V. F , Azarian A. R , Grishanova A. P , Ivashchenko E. I , Shendo G. L , Dzagurova T. K , Pilikova O. M , Vasilenko N. F
Published: April 2021

Sera of inhabitants of the European part of Russia, collected in 2010-2013 were studied with the use of ELISA and neutralization test. Antibodies to West Nile virus were detected in 19.6% of cases in the Astrakhan region, 4.5% - in the Krasnodar region, 0.9% - in the Saratov region and 5.4% - in the Stavropol region. The coincidence of the results of the examination of sera in ELISA-IgG and neutralization test accounted of 80.7% in the Astrakhan region, 72.2% - in the Krasnodar region and 69.2% - in the Saratov region. The presented results correlate with the incidence and duration of known epidemiological activity of West Nile fever in the territories of these regions. Analysis of our data, as well as statistics of the morbidity rate of West Nile fever in the Volgograd and Rostov regions and Dagestan confirm endemic and expanding foci of this infection in the southern regions of Russia, currently including Astrakhan, Volgograd, Rostov, Saratov, Krasnodar and Stavropol regions and Dagestan. The most active and stable foci are located on the territory of Astrakhan, Volgograd and Rostov regions.
Clinical and epidemiological Semiotics in the diagnosis of etiology of acute respiratory viral infections in adults
Authors: Popov Aleksandr F. , Kolpakov S. L , Simakova A. I , Dmitrenko K. A
Published: April 2021

For etiological diagnosis of acute respiratory viral infections the improvement of clinical semiotics and searchfor epidemiological consistent patterns are advantageous. Aim the establishment of consistent patterns of the clinical picture of etiologically AIRS decoded by PCR method and validities of epidemiological signs in the Primorsky Krai in the recent period. The material of the study were medical history cases on 276 patients admitted to the infectious department of Primorye Regional Clinical Hospital №2 in the city of Vladivostok in 2014 with a diagnosis of AIRS. Results. In the etiological structure of patients there was dominated influenza (48.2%). Hereafter there were: rhinovirus infection (13.0%), parainfluenza (11.2%), metapneumovirus infection (9,8,5%), adenovirus infection (8.0%). The minimum share was presented by bocavirus (HBoV)) infection (5.16%) and the respiratory syncytial virus, (HRSV) infection (4.7%). There were established the most sensitive and specific symptoms of considered infections. There were revealed features of the seasonality and the age structure of the patients, affecting on the efficiency of diagnosis.