Reviewerly/exHarmony huggingface dataset:
Software Cost Estimation Technique Based On Multiple Artificial Neural Network Models

Software cost estimation is an essential and important endeavor for the effective implementation of applications development project concerning its price &amp; time plus its direction concerning its monitoring of autonomous applications development jobs. Software cost estimation is the prediction of software development endeavor and applications development time necessary to create a software job. The scheduling is of scheduling Resources, Budget, Time and several equally Precise software cost estimation is regarded as a tricky job as the information concerning the application project to be designed in the time of its beginning and completion remains obscure, thus drives the investigators from both professors and business to research in the exact same. What's more, it's always preferable for any approximation version to be inclusive because precision in estimation versions mutually lies together using their inclusiveness. So software cost estimation procedure being predictive in character hence requires for inclusiveness that will consequently bring inside that the precision. Within this paper, we'll present many versions for software cost estimation according to variants from Artificial Neural Networks which were completed within the research study. One of those models relies on exact choice of drivers as input into an Artificial Neural Network. And others derive from hybrids of Artificial Neural Networks with distinct Meta-heuristic algorithms as utilization of meta-heuristics in forecast issues such as that of program cost estimation is becoming more popularity. Everyone these versions have been experimented with variety of valid data collections.
Intellekt The Mechanism For The Development Of Tasks Oriented To The Visual Potential.

The article one of the most important factors is the development of assignments for the formation and determination of intellektual capacity in the 9th grade students of secondary schools, their separation into weights, based on the laws of interdependence. It also requires research as a scientific and methodological issue to develop and implement the aktual capacity shaping single and subgroup approach and use methodology, intellektual capacity determination single and subgroup approach and use methodology in the course process.
Protection of and Access to Relevant Data—General Issues

Abstract This chapter discusses the protection of relevant data and issues that might block access to such data. There are at least three kinds of data, data specifically generated for the purpose of AI, big data, and copyright-protected data. Data specifically generated for AI should qualify as works worthy of copyright protection as compilations. If such data are public-sector information, measures that may facilitate the widest re-uses of public data should be taken. If such data are from the private sector, attention needs to be paid to whether these data are of critical importance and whether the use of competition law and/or ex ante regulation will be needed to ensure access. The issue of protection of big data should not be addressed in the sense of giving proprietary entitlement over big data to any entity. When looking at the private-sector components of big data, there are legal, technical and market factors working against the formation, accumulation, and free flow of big data. When looking at the public-sector components of big data, both the importance of open data and the re-use of public sector information come to the fore. Concerning the issue of accessing big data, there are barriers to its collection, storage, synthesis, analysis, and usage. However, behavioural barriers warrant special scrutiny. In that regard, competition law as an ex post remedy can be relied upon but is of limited use; therefore sector-specific regulation might be needed. As for copyright-protected data, the real issue is more about access than protection.
PSYCHOLOGICAL CORRELATES OF PRODUCTIVE AND UNPRODUCTIVE PATTERNS OF METACOGNITIVE REGULATION OF STUDENTS

This article describes the results of an empirical study focused on patterns of metacognitive regulation which are regularly recurring stable mental programs aimed at achieving high levels of intellectual performance manifesting themselves as particular behavior patterns which can be observed. We hypothesized that: 1) manifestation of productive patterns of metacognitive regulation is associated with approach achievement motivation, high self-efficasy and positive emotional profile; 2) manifestation of unproductive patterns of metacognitive regulation is associated with avoidance achievement motivation, low self-efficasy and negative emotional profile. Students and PhD students of different Russian colleges and universities (n=156, mean age = 20, 32 males) participated in our study. To test our hypotheses we asked the participants to fill out the following questionnaires: 1) «Features of intellectual performance» questionnaire (by D.N. Makarova, M.V. Osorina); 2) «Approach and avoidance achievement motivation» questionnaire (by A.A. Rean); 3) «Generalized Self-Efficacy Scale» (GSES) questionnaire (by R. Schwarzer, M. Jerusalem, adapted by V.G. Romek); 4) «Emotinal profile of intellectual performance» questionnaire (by A.A. Zhukova, M.V. Osorina). We used SPSS software to conduct factor analysis (maximum likelihood method with varimax rotation) and nonparametric test (Kruskal-Wallis test). We obtained the following results: 1) 8 factors incorporating alike patterns were extracted; 2) significant differences between distributions of factor scores of participants with different levels of self-efficasy were revealed (for 3 factors); 3) significant differences between distributions of factor scores of participants with different types of motivation were found (for 2 factors). Therefore we can conclude that our hypotheses were partly refuted. The acquired data speaks in favor of one way connections: 1) between manifestation of productive patterns of metacognitive regulation and high self-efficasy and positive emotional profile; 2) between manifestation of unproductive patterns of metacognitive regulation and low self-efficasy and negative emotional profile. However, the results we obtained on relationship between patterns of metacognitive regulation and type of achievement motivation (approach versus avoidance) cannot be interpreted clearly. It is possible that the association between these two phenomena is non-linear or non-existent. In both cases further research is needed. Practical value of this study is that the results can be used for diagnostics of intellectual productivity of young adults, consulting and creating training programs on this subject. However, as the homogeneity of the sample is the main limitation of this study, further research on a bigger and more heterogeneous sample will shed more light on the associations in question and possibly help to create an improved version of our questionnaire aimed at revealing the patterns of metacognitive regulation.
Development of Thematic Educational Game Eduklok Chemistry Based on Indonesian Local Wisdom

The purpose of this research is to develop a media in the form of educational games that contain local wisdom content, culture, culinary, and health, which are packaged in a snake and ladder game. In addition, this study also aims to test the quality and analyze user perceptions of the "Eduklok Chemistry" game product that has been developed. The method used in this research is to adapt the ADDIE model which includes the stages of analysis, design, and development. The quality of the developed product is tested by the expert judgment method using an expert assessment instrument to get a quality score. The study of users' perceptions of the product is carried out by the method of analyzing user responses to assess user perceptions in the form of response data. Quality test results by material experts that the product developed is included in the category of Very Good (SB) with a percentage of ideals of 100%. The results of quality tests by media experts on products developed are included in the category of Good (B) with a percentage of ideals of 76.92%. Meanwhile, the results of user perception studies show that most users respond Very Good (SB).
DISTINCTIVE FEATURES OF RIVER SAND, BEACH SAND AND GRANITE AS ADSORBENTS IN WATER AND WASTEWATER TREATMENT

The essence of adsorbents in water or wastewater treatment cannot be over-estimated. This research paper seeks to investigate the characterisation of river sand, beach sand and granite as adsorbents in water or wastewater treatment. River sand, beach sand and granite (collected in some localities in Nigeria) were sieved, washed and later sun-dried. These three materials were taken to the laboratory for XRF, SEM and EDX analyses. The XRF analysis revealed that the oxides present in the selected materials include Silica (SiO2), Alumina (AI2O3), Ferric Oxide (Fe2O3), Titanium Oxide (TiO2), Calcium Oxide (CaO), some other oxides and trace elements like Barium, Copper, Chromium, Nickel, and so on. The SEM analysis shows that the materials possess interconnected pores, while the EDX analysis of the adsorbent materials revealed that the materials contain Silicon, Oxygen, Aluminium, Carbon and other elements. These distinctive features in the selected materials make them excellent materials for water or wastewater treatment.
Quantum speed limit in producing atom-ion entanglement in Josephson junction

In this work, we have studied the tunneling of a single atom in a double-well. The atom is interacting with a single ion in a simple harmonic trap placed in the center of the double-well. The tunneling of the atom is controlled by the spin and/or motional state of the ion. Considering a model potential, we have shown that it is possible to generate an entangled state between the spatial state of the ion and the atomic wavefunction. By employing the optimal control method, the quantum speed limit of generating this entangled process has been explored. This system can be used as qubit in quantum computers.
Mobile Mediated Communication: Emoji Usage and Play Frame

Emoji has already become a ubiquitous language for Mobile Mediated Communication (MMC) worldwide.And emoji usage has many implications from text messaging to social interaction.It helps users convey emotional information via nonverbal cues.Although prior sentiment analyses provide clear pictures of emoji usage, the expression intensity of an emoji varies from one to another in different speech community.Besides, the communicative functions emoji serves might depend on mediated platforms.Therefore, present study aims to describe how college students apply QQ emojis to engage in their social networks.Based on the collected chatting records, QQ emojis displayed prominent appeal and courtesy functions in push, notice and questionnaire request and the expression intensity proportionately correlate with the use frequency.Finally, the notion of play interprets emoji usage, arguing that the effects emoji brings, is as much a result of users' preference as it is born to satisfy the needs of communicating visually in telephony.
Development of a Chatbot to Encourage the Use of Assistive Technologies and Reduce the Rate of Discontinuance

Assistive Technology is an interdisciplinary group of tools that assists people with impairment.Even though 30% of people that use these discontinued using them, complicating their autonomy, quality of life, and social inclusion.For that, a prototype of Chatbot was developed to assist individuals with impairment to increase their adherence to Assistive Technologies.Chatbots are virtual assistants that interact with their users through messages, images, videos, and sounds, using an Artificial Intelligence tool named Natural Language Processing to simulate a person.It can be used in smartphones, computers, and other devices.This prototype was developed in the BLiP® platform, introducing a Knowledge Base with all the essential information about Assistive Technologies.The prototype assessment consisted of the White Box (Structural) and the Black Box (Functional) tests.The prototype was tested and presented a great flow of conversation and no errors in the structure.Besides the benefits provided, Chatbots cannot substitute a healthcare professional but only assist.Chatbots can be potential assistants that will increase and improve healthcare treatments.A literature review from 2015 concluded that 30% of those using any AT discontinued using it within the first five years of use, and some never even got to use it consistently.In 2018, Mission et al. demonstrated that the rate of AT discontinuance use is high, but it is hard to
THE CONTENT COMPONENT OF CREATING A MODERN EDUCATIONAL ENVIRONMENT IN NEW UKRAINIAN SCHOOL

The purpose of the article is to substantiate theoretically the content component of creating a personality-oriented educational environment on the basis of subject-subject interaction between teachers and students of the New Ukrainian School. To achieve this goal, the following methods of analysis of psychological and pedagogical literature were used: generalization of the achievements of domestic and foreign scientists on a certain problem; systematization of the received information. Analyzing the psychological and pedagogical literature, we can say that the question of “educational environment” scientists have been addressed constantly. The views of scientists are considered and the essential characteristics of the concept of “educational environment” are given in the article. A brief overview of the structural elements of the environment, the problems of designing and creating a creative, personality-oriented educational environment based on the subject-subject interaction between teachers and students for their development are described. The solution of existing problems in the practice of forming the educational environment of primary school is studied. The main criteria are considered, taking into account which it is necessary to build an educational environment for primary school students. The main characteristics and parameters of the educational environment are analyzed. Recommendations for teachers on creating cells are provided. The focus is on specific tasks to address the issue of teacher readiness for change and steps to create a modern educational environment. Prospects for further explorations in this direction are outlined
A New Surprise Measure for Extracting Interesting Relationships between Persons

One way to enhance user engagement in search engines is to suggest interesting facts to the user.Although relationships between persons are important as a target for text mining, there are few effective approaches for extracting the interesting relationships between persons.We therefore propose a method for extracting interesting relationships between persons from natural language texts by focusing on their surprisingness.Our method first extracts all personal relationships from dependency trees for the texts and then calculates surprise scores for distributed representations of the extracted relationships in an unsupervised manner.The unique point of our method is that it does not require any labeled dataset with annotation for the surprising personal relationships.The results of the human evaluation show that the proposed method could extract more interesting relationships between persons from Japanese Wikipedia articles than a popularity-based baseline method.We demonstrate our proposed method as a chrome plugin on google search.
Secure and Efficient Image Cryptography Technique using Choas and DNA Encoding Methodology

In this era of the digital world, handling digital data with a secure passion is more important. At the height of maximum interest with the attainment of the data confidentiality with the miniature information is the tedious and most challenging concern of the system with the data handling and operating in the real-time environment. With the latest data confidentiality security model, such as image encryption over the communication networks in the distributed data environment, advanced hacking efforts such as cropping attack, brute force, differential, mathematical, and many more need to be addressed. In terms of bit scrambling, the security function plays a vital role in the pixel-based approach with minimum pixels are followed in the current security model for a better correlation with the available pixels with the continued higher runtime complexity. In this research paper, along with the DNA encoding process, an efficient image cryptographic technique is shown with the reduced runtime complexity. The discussion in the article begins with the chaotic sequence EIIS (Efficient Image Information Scrambling) method. Progressed with the DNA (Deoxyribo Nucleic Acid) encoding is done with the data for resistance against different kinds of attacks by considering the suitable parameters from the existing security models.
AN APPROACH TO THE CONTEXTUAL ANALYSIS OF TIME SERIES

Forecasting methods despite their conventions and limitations are the evolution of descriptive analytics mechanisms. Any model of the real-world objects works only under conditions of restrictions and agreements. The same conclusion can be made for the forecasting process, that it is not possible to forecast future state of the researched objects for 100%. However, building the most accurate forecast under the given conditions is the key. Modern data mining methods are based on a variety of models. However, such models can’t define the components of researched objects and processes except those contained in their models. The context allows using additional domain knowledge in describing the behavior of objects and processes in the form of qualitative assessments of their state. The same dataset in different domains will have various models and analysis results. The article deals with an approach to the domain context formation based on the ontology for analyzing time series of industrial processes indicators. The logical representation of the ontology based on the ALCHI(D) descriptive logic is also considered. The article describes as well experimental results confirming the correctness and effectiveness of the approach proposed.
DEVELOPMENT OF VEHICLE TRACKING USING SENSOR FUSION

The development of vehicle tracking using sensor fusion is presented in this paper. Advanced driver assistance systems (ADAS) are becoming more popular in recent years. These systems use sensor information for real-time control. To improve the standard and robustness, especially in the presence of environmental noises like varying lighting, weather conditions, and fusion of sensors has been the center of attention in recent studies. Faced with complex traffic conditions, the single sensor has been unable to meet the security requirements of ADAS and autonomous driving. The common environment perception sensors consist of radar, camera, and lidar which have both pros and cons. The sensor fusion is a necessary technology for autonomous driving which provides a better vision and understanding of vehicles surrounding. We mainly focus on highway scenarios that enable an autonomous car to comfortably follow other cars at various speeds while keeping a secure distance and mix the advantages of both sensors with a sensor fusion approach. The radar and vision sensor information are fused to produce robust and accurate measurements. And the experimental results indicate that the comparison of using only radar sensors and sensor fusion of both camera and radar sensors is presented in this paper. The algorithm is described along with simulation results by using MATLAB.
The Educational Environment of the University as a Factor in Shaping the Management Culture of the Future Social Security Specialist

The article substantiates the educational environment of the university as a factor in shaping the management culture of the future social security specialist. The resources (personal, organizational, social partnership) of the educational environment of the university in the formation of the management culture of the future social security specialist are characterized. Subject-spatial, value-based content-technological, organizational-managerial, subjective components of the educational environment of a higher education institution are considered. The signs of polyvariance of the university environment in the formation of the parameters of the management culture of the future social security specialist are determined. It is proved that the multivariate educational environment of the university allows to solve the problem of forming the management culture of the future social security specialist through the use of his resources in the educational process, in extracurricular activities, in the organization of independent student work. Pedagogical influence of environmental resources on the student, ensures his active involvement in educational, research, creative extracurricular activities, increases the level of managerial knowledge, provides an opportunity to practice management skills, forms professional and managerial values.
DEVELOPMENT OF TRANSVERSAL SKILLS IN PRIMARY SCHOOL (CLASSES 1-3): CONTEXT OF LIFELONG LEARNING

The primary task of the 21st century education is not anymore to transfer continuous information, but the skill to acquire independently and learn this knowledge during lifetime. In the future, the development of transversal skills plays an important role in the educational process. Transversal skills, such as critical thinking and problem-solving, creativity and innovation, self-guided learning, cooperation, civic participation and digital literacy, are raised in the framework of Education Reform in Latvia (Skola 2030, 2017). The beginning of the learning process during the stage of primary school is an essential step in transversal skills acquisition, particularly emphasizing the impact of the Classes 1-3 stage, on the further learning process. According to the outcomes determined in the standard of primary education to be achieved, it is necessary to develop significantly transversal skills in this stage, as well as observe carefully the changes in children’s age development that affect the possibilities of transversal skills development.The goal of the research: analyse the development of transversal skills in primary school (Classes 1-3).Research method: content analysis of the education content regulating documents and scientific literature.
Public Awareness and Advocacy Committee: Best Practices Online: Considerations for Successful Virtual Programs

By now, your organization has likely decided which video platform it’s going to use. Here are some Zoom best practices being used at King County (WA) Library System.Planning Your ProgramProtect yourself while also representing your organization. Be mindful that in an online program you might be recorded without your knowledge on someone’s phone, camera, or another meeting platform. Take care with your appearance, background, and personal details.