Reviewerly/exHarmony huggingface dataset:
Approaches for Detecting Anomaly in Real Time Network

The omnipresence of the Internet and coming of connected devices has cleared a path to attack networks for intruders which prompt financial loss, cyber-attack, information loss in cyber war and healthcare. Consequently, network security investigation has become a significant field of concern and it has achieved serious consideration between researchers, off late, particularly in anomaly detection field in the network that is viewed as critical for network security. In any case, primer researches have uncovered that existing approaches in-network for detecting anomalies are not effectual sufficient, especially in real time to detect them. The ineffectiveness of current methods is due to the accumulation by devices connected of enormous volumes of knowledge. In this context, it is important to suggest a sort of framework that adequately manages the real-time broad data processing and the identification of service anomalies. This paper attempts to tackle the issue of deviations in real time. The fact. This article has also examined state of the art BID analysis techniques in real time in relation to the identification of anomalies and the important features of the associated machine learning. Begin with the description of relevant taxonomy and meanings of live time data analytics, spatial relationship and computational mathematics algorithms, and follow up with the overview of the biodata technology.
A Study on Structural Relationship between Creative Ability, Entrepreneurship, Self-Efficacy, and Career Preparation Behavior in Food & Culinary Arts Students

The purpose of this study is to identify the structural relationship between creative ability, entrepreneurship, self-efficacy, and career preparation behavior in food & culinary arts students. For collecting the data, this study distributed 400 questionnaires to food service majors from March 24, 2019 to March 31, 2019. Total of 400 questionnaires were returned and the researcher removed 79 questionnaires that could not be used statistically (same answers, omission of questions/answers). As a result, total of 322 questionnaires were used for an empirical analysis. In this study, SPSS 18.0 Package and AMOS 18.0 were used for analyzing the statistics. The study results were as follows. First, the result for hypothesis 1 on “Creative ability would have positive (+) influence on entrepreneurship” was adopted. Second, the result for hypothesis 2 on “Creative ability would have positive (+) influence on self-efficacy” was adopted. Third, the result for hypothesis 3 on “Creative ability would have positive (+) influence on career preparation behavior” was rejected. Fourth, the result for hypothesis 4 on “Entrepreneurship would have positive (+) influence on career preparation behavior” was rejected. Fifth, the result for hypothesis 5 on “Self-efficacy would have positive (+) influence on career preparation behavior” was adopted. The results made academic contribution on generalization of social cognitive career theory and career development theory while suggesting practical implications on education and career for food service majors.
PRESERVING PRIVACY ACCESS CONTROL WITH FLEXIBLE DATADISTRIBUTION FOR DYNAMIC GROUPS IN CLOUD

Cloud computing is increasing computing a model that allows customers to keep the data in a cloud to enjoy with dataavailability and facility services. But, it also causes a lot of safety problems to recognize cloud provider providers (CSP). Asper the records, the cloud server is un-trusted to against the CSP and present applications providing cryptographicmechanisms (Encryption and decryptions methods) and the availability of much powerful decryption keys for authorizedclients. One of the primary cryptographic encryption mechanisms is identity-based encryption (IBE) is used to createauthorized data sharing in the cloud. But control the access policy is no longer made. That means, when some user's accesspermission has expired, there necessary a mechanism that can revoke a particular user from the server. Therefore, theremoved user cannot access the before shared data and after shared data also. Various researchers provided many algorithmsto provide security in dynamic group data sharing. For example, the encryption mechanism is attribute-based encryption(ABE) and cipher text policy-based attribute-based encryption (CP-ABE). But there is a still challenge in their works. Tosolve the problems in previous works this paper proposed an effective modified revocable attribute-based encryption (MRABE) with the excellence of ciphertext allocation by providing both Identity Based Encryption (IBE) and Ciphertext policyattribute-based encryption schemes (CP-ABE). It can present forward / back confidentiality of the encrypted information byproviding consumer attributes revocation and updating the encrypted content at the same time. Further, we implement one ofthe access control mechanism is fine-grained access control mechanism and sharing cloud facility services with dynamiccloud user groups. The Empirical results show that the proposed mechanism is more effective and scalable than the previousmechanisms.
MANAGING THE TRANSITION TO A REMOTE WAY OF IMPLEMENTING THE EDUCATIONAL PROCESS: THE EXPERIENCE OF KALUGA STATE UNIVERSITY

The authors aim at comprehending the experience of managing the transition of KalugaStateUniversityto the remote way of implementing the educational process in the context of the 2020 pandemic. The article presents a conceptual vision of management tasks at the initial and subsequent stages of fundamental changes within the educational organization and the mechanisms used. The article shows that managing the university in the conditions of extreme changes implied the feedback technology from the subjects of the educational process (students and teachers), which allowed the management team to receive information on the estimates of intermediate results and make timely adjustments for making adequate management decisions when moving to subsequent stages. Online surveys of students (10 days after the transition to distance learning) and teachers (during the fourth week of the quarantine) were organized as a feedback tool. The authors suppose that the experience of the transition to a remote way of implementing the educational process in the spring of 2020 is of value to all subjects of the university space. The experience gained is useful to the management team for understanding the factors and mechanisms of extreme changes operational management, which made it possible to ensure a successful short-time solution of the task in the situation of uncertainty. For teachers and students, an important result was a sharp qualitative increase in the competence of using distance technologies in the educational process. The article might be of use to leaders and management teams of educational organizations for reflection and comparative analysis of such changes in their universities. A conceptual vision of management tasks at the initial and subsequent stages of fundamental changes in an educational organization, evaluating the effectiveness of the mechanisms used and decisions made, as well as working out feedback, including online polls, should help prevent the occurrence of negative consequences and work for the further development of the organization even in globally unfavorable conditions.
LibGuides: Research: Getting Started: Big6™ process

This guide contains tips to help with the research process. Six steps to completing the research project
A Study on the Influence of Internal Professional Value of University Students majoring in Air Service on Major Satisfaction, Learning Motives and Occupational Exploration Behavior

This study tries to understand the Internal Professional Value of University Students majoring in Air Service on Major Satisfaction, Learning Motives and Occupational Exploration Behavior. The study method was to conduct a online survey research targeting University Students majoring in Air Service. The empirical survey was conducted between Jun 12 and Jun 25, 2020, and 221 valid questionnaires were analyzed. Data analysis was conducted using SPSS 18.0 and AMOS 23.0, and the hypothesis was tested through structural equation modeling. The results of the study are summarized as follows. First, Internal Professional Value positively influenced Major Satisfaction accordingly. Second, Professional Value positively influenced Learning Motives. Third, Major Satisfaction positively influenced Learning Motives. Forth, Major Satisfaction not influenced Occupational Exploration Behavior. Fifth, Learning Motives positively influenced Occupational Exploration Behavior. The findings has significant implications for Professional Value, Major Satisfaction, Learning Motives, Occupational Exploration Behavior and academic researchers. This research has several implications such as importance of Professional Value, Major Satisfaction and Learning Motives should be preceded in order to strengthen Occupational Exploration Behavior.
Evolving network structures for text classification using genetic algorithms

Convolutional Neural Networks (CNNs) have shown themselves in recent years to be strong contenders for text classification and sentiment analysis, achieving high accuracies challenging other state of the art methods. However, their architectures need to be manually designed and the parameters need to be manually tuned. They suffer from requiring good domain knowledge to design the architecture for each individual problem, which often isn't possible and can increase operating costs for companies wishing to implement such methods. In this paper, two different methods are proposed that use Genetic Algorithms to automatically evolve CNNs without requiring any human intervention. The experimental results show that one of the proposed methods rivals results obtained from other CNN based methods based on classification accuracy, reaching high accuracy on the IMDB baseline dataset while requiring only a few hours training.
High-speed Dynamic Lab-based Micro-CT for Optically Opaque Flows

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Philosophy of Education: The Role of Teachers’ Scepticism Instruction to Solve Students’ Disruptive Behaviour in English Learning Activity in Smp Islam Boyolali

Philosophy of education concern of nature aim problem and phenomenon in Education. One of the educational phenomenons in our country is teaching English as foreign language. Teachers have some of difficulties to deliver the material because of some factor.Teaching English in this digital era must be creative and innovative. As a teacher, we have to prepare an interested media to deliver English for students. The difficulties aspect to attend the class during English lesson is disruptive behavior. The example of students’ disruptive behavior in English classroom is eating in the class and talk to their friend. This behavior can disturb their friend during lesson. The aims of this study are to know the kind of disruptive behaviour during English lesson, to identify the teachers’ scepticism instruction, and to analysis the role teachers’ scepticism instruction to solve students’ disruptive behaviour. This study is descriptive qualitative method. The instrument of the data is observation during English classroom activity to know what kind of disruptive behaviour done by students and their reason why did that and how teacher solve this problem during English lesson activity. The result of this study show that some students have disruptive behaviour such us eating and talk without permission during English lesson. Most of the reason why they did that because of feel bored during classroom activity, and did not understand what the meaning of sentences. The teacher’s scepticism instruction give students interest in English lesson. The teacher use epistemological, constitutive, linguistic meaning to ask students the instruction.
Determinants Affecting Governance in Response to Economic Development in the Developing Countries: Evidence from Pakistan

The governance system of any country is required to be stable in any country. This study is the initial attempt to find the determinants of governance in Pakistan. The data has been collected from World Bank Data Bank from 2002-2016. The correlation test and Structural Equation Modeling is applied to the data. The governance is the construct variable in Structural Equation Modeling. The results shows that Voice and Accountability, Political Stability and Violence Terrorism, Government Effectiveness, Gross Domestic Product per Capital Growth, Gross National Index growth. Gender diversity and Human Development are the factors of governance in Pakistan. It can be argued that Regulatory quality, Rule of Law and the control of corruptions are not the confirmed factors of governance the latent variable in Pakistan. I can say that Regulatory Quality is not important for the governance. The regulatory quality is not important factor for governance in Pakistan but Voice and accountability, Political stability and the government effectiveness are the confirmed factors for the governance. The governance in Pakistan is poor but other determinants are of economic growth and developments are improving so this shows that if Policy makers want to improve the governance determinants then it will have positive effect on the economic development.
A Viewful Survey: The Neural Network for Blood Cell Image Classification and Diseases Identification

The diagnosis of blood-related diseases involves the identification and characterization of a patient's blood sample. Combined the convolutional neural network(CNN) and recursive neural network (RNN) in order to propose the CNN_RNN framework that can deepen the understanding of image content and learn the structured features of images and to begin end toend training of big data in medical image analysis.
Returns to Cloud Computing Investments: The Role of Environmental Uncertainty.

Although a substantial portion of information technology spending has shifted to the cloud, empirical evidence on economic value of cloud computing is lacking. This study examines the effect of cloud computing on productivity and scrutinizes how its effect differs depending on environmental uncertainty. Using publicly available data on the product sales and the inter-industry purchase flows, we measure purchased cloud services in U.S. industries during 1997- 2018 and distinguish between software-as-a-service (SaaS) and infrastructure-as-a-service (IaaS). Employing a production function approach, our findings suggest that cloud computing investments do not always lead to productivity gains, but its effect varies by the level of environmental uncertainty. Specifically, while cloud computing contributes to productivity under high environmental uncertainty, it may have an adverse effect under stable environments. Further, this positive impact under uncertain environments is found to be driven mainly by IaaS, rather than SaaS. This study provides important implications on cloud computing investment strategies.
APPLICATION OF THE CONTEXTUAL TEACHING AND LEARNING (CTL) APPROACH TO INCREASE STUDENT LEARNING OUTCOMES OF CLASS IV STUDENTS SDN 167 PEKANBARU

This study was based on the low learning outcomes of social studies in fourth-grade students at SDN 167 Pekanbaru. Of the 20 students, only 9 students (45%) achieved minimum completeness, while the average student learning outcomes were 60.24. To overcome this learning problem, classroom action research is carried out by applying the contextual teaching and learning (CTL) approach. The purpose of this study is to improve social studies learning outcomes by applying the CTL approach. This research is a classroom action research conducted in the fourth grade SDN 167 Pekanbaru with a total of 20 students. This research was conducted in two cycles, the data collection techniques used were observation and written tests. The analysis technique used is a descriptive analysis of data on teacher and student activities and social studies learning outcomes. The results of the study state that the application of the CTL approach can improve the activities of teachers and students as well as social studies learning outcomes. This is evidenced by (1) teacher activities in the first cycle of the first meeting amounted to 50.00%, in the first cycle of the second meeting was 64.28%, in the second cycle the first meeting was 78.57% and in the second cycle II was 92.86%; (2) the activities of students in the first cycle of the first meeting were 57.14%, in the first cycle of the second meeting it was 67.85%. In the second cycle, the meeting I was 75.00% and in the second meeting cycle II was 89.28%; and (3) student learning outcomes have increased in the pre-cycle number of students who completed 9 students, in the first cycle became 12 students, in the second cycle became 17 students. The increase in the average learning outcomes from the basic score is 60.25 to 68.25 in the first cycle and 78.50 in the second cycle. Based on the results of this study, the application of the contextual teaching and learning (CTL) approach can improve learning outcomes in social studies subjects in grade IV SDN 167 Pekanbaru.
GENDER ASPECTS OF FUTURE SOCIAL WORKERS’ LEADERSHIP IN THE CONTEXT OF THE HIGHER EDUCATION INSTITUTION

The practical experience of organizing meaningful and multifaceted extracurricular activities of future social workers is covered in the article. It has been established that the outlined measures contribute to the formation of personal and leadership structures of future successful leaders, development of personal potential, social sensitivity to people, problems of the region, country. Such activity promotes students’ ability to influence the successful construction of their lives, as well as encourages leadership qualities such as: the display of organizational skills; expressed motivation for success; communicative competence; ability for organizing activities with people of all ages; social and psychological technologies of influence on the personality and the team. In terms of gender management, there are no fundamental differences between boys and girls according to the leadership itself and leadership effectiveness. But in some situations and roles, boys are more effective, whereas in others – girls.The girls have indicated the following qualities that are clearly expressed and conducive to success: desire for self-development, responsibility, independence, organization, stress resistance, confidence, commitment, speed, sincerity, kindness, tolerance, communicativeness, determination, sensitivity, self-criticism, optimism. The boys have identified personality traits that are clearly expressed and help to succeed. These traits include: honesty, justice, friendliness, generosity, sociability, sincerity, responsibility, activity, honesty, empathy, punctuality, perseverance, politeness, persistence, kindness, courage, tact, optimism, self-control.
Design and Analysis of Solar Tree

As a convention energy sources depleting from the earth and as it harms the environment is moving towards non -conventional energy sources.In this paper, a product known as solar tree is introduced which requires less space than other conventional energy equipments space availability is the main problem in cities. Solar tree has been designed to increase the power output by many folds by consuming solar energy.It can be installed on the sides of the roads.The tree consists of numerous solar panels connected to one another in series and parallel connection.The solar tree consists of number of branches welded to a stem and each stem has a solar panel mounted on it.It adds up voltage in series and current in parallel connection. it lights up a CFL lamp continuously for much time.
Mathematical model for evaluating professional activity of a teacher in a higher educational organization

educa onal ac vi es, weight coeffi cient, mo va on of a teacher.
Detecting Emotional Contagion in Collaborative Software Development

In this paper, a method is presented to detect emotional contagion in collaborative software development where such collaboration happens through online means, and more specifically GitHub.The method is based on a previously published framework to classify interactions among software developers in open source software collaborations.This paper builds on that framework to provide a method that can effectively detect and classify the extent to which emotional contagion appears to be present in a specific development effort.The method is general and can be applied to any development that uses GitHub as primary means of communication.By using a popular open source software project, this paper shows that within the selected scope it is possible to detect emotional contagion.The validity of the result is confined to each project, as a generalization of this analysis is beyond the scope of the paper, but is described as future research.
Modeling of 3- and 5-Isogenies of Supersingular Edwards Curves.

An analysis is made of the properties and conditions for the existence of 3- and 5-isogenies of complete and quadratic supersingular Edwards curves. For the encapsulation of keys based on the SIDH algorithm, it is proposed to use isogeny of minimal odd 3 and 5 degrees, which allows bypassing the problem of singular points of the 2nd and 4th orders, characteristic of 2-isogenies. A review of the main properties of the classes of complete, quadratic and twisted Edwards curves over a simple field is given. Formulas for the isogeny of odd degrees are reduced to a form adapted to curves in Weierstrass form. To do this, the modified law of addition of curve points in the generalized Edwards form is used, which preserves the horizontal symmetry of the curve’s return points. Examples of the calculation of 3- and 5-isogenies of complete Edwards supersingular curves over small simple fields are given, and the properties of the isogeny composition for computing isogenies with large-order kernels are discussed. Formulas of upper bounds for the complexity of computing isogeny of odd degrees 3 and 5 in the classes of complete and quadratic Edwards curves in projective coordinates are obtained. Algorithms for calculating 3- and 5-isogenies of Edwards curves with complexity and 12M+5S, respectively, are constructed. The conditions for the existence of supersingular complete and quadratic Edwards curves of the order 4·3m·5n and 8·3m·5n are found. Some parameters of the cryptosystem were determined during the implementation of the SIDH algorithm at the quantum security level of 128 bits.
Mine-to-client planning with Markov Decision Process

This works presents an innovative application of Markov Decision Process (MDP) to a medium-term mining logistics planning problem considering the mine-to-client supply chain. We implemented three distinct algorithms based on state-of-the-art approaches to solve large-scale problems, and compared their results. Furthermore, we combined all three variants in a single novel algorithm that attained fast convergence and may be an alternative to circumvent the curse of dimensionality underlying large scale problems.
From my hand to your ears

ElectronicsSign language—in the form of hand, face, and body gestures—is a broadly used technique for communicating with people who are partially or fully deaf. However, most nondeaf people do not know sign language, making communication between the two groups challenging. Zhou et al. developed a wearable device that can convert hand motions or facial expressions into sound. At its core are two dissimilar soft materials with opposite triboelectric polarizations woven into a yarn that can effectively convert a small tensile force or pressure into electricity. Thus, finger or facial movements generate specific voltage pulses that can be recognized as individual letters or words or phrases.Nat. Electron. 10.1038/s41928-020-0428-6 (2020).