Reviewerly/exHarmony huggingface dataset:
Altruism – A Premise In Proving Pro-Social Behaviors

Altruism is the moral to be cultivated, inculcated in the students personality, thus helping to prevent irresponsible behavior, the identification of positive, genuine, pro-social skills and social-emotional development. This is a goal that can be achieved by approaching effective teaching strategies based on active-participative methods and developed in a educational environment friendly, relaxing and nurturing. Altruism involves empathy, emotional need that students feel safe, feel that they are listened to, understood by the teacher and in turn, they show respect for others, active listening, understanding. The teacher's role is important to be an example for his pupils to be truly a "person" to be truly "human" and with respect, compassion, wisdom shown to his pupils. In our study we have dedicated this issue of major importance and we researched this phenomenon through the application of specific research methods sciences education, observation, survey-based questionnaire-based research thoroughly curriculum documents and school in force. In this respect, I supported lessons on internalization of moral value of altruism using the basic teaching game teaching method with its different variants because of its dynamism and generating good mood, emotional comfort and freedom of expression.
The MiniMario Video Game

This chapter builds a small video game inspired by Nintendo’s Mario Bros. Our version of the game is a simplification of the real Mario Bros game. The purpose of this chapter is to provide a solid and realistic base on which we can build an intelligent artificial player. The goal of this chapter is not to provide a wonderful gaming experience. Instead, the game is about providing a challenging scenario for exercising the NEAT algorithm covered in the previous chapter. Our game, which we call MiniMario, has the following characteristics:
Theory on Learning

Understanding the learning algorithm that’s used with neural networks involves a fair dose of mathematical notations. This chapter details some relevant theoretical aspects of the way that neural networks operate. We will therefore review the notions of loss functions and gradient descent. Note that this chapter is by no means a complete description of how networks learn. As indicated at the end of this chapter, many other people have done an excellent job of accurately describing the theoretical foundation of learning and optimization mechanisms. Instead, this chapter is meant to back up some aspects of the implementation explained in the previous chapters, with the assumption that you are comfortable with basic differential calculus.
Keep security top of mind when moving into the cloud

Anybody operating in the technology or IT space in recent years will be aware of the many benefits of moving to the cloud. Cloud adoption is soaring, with 88% of UK organisations already having adopted cloud services, and 67% of users expecting to increase their use of the cloud. 1 The multitude of reasons includes, among others, the lower costs of infrastructure and maintenance, increased flexibility and the ability to streamline operations.
Development of Emotional Intelligence among Future Social Teachers Using Interactive Educational Technologies

The article investigates emotional intelligence and the ways of its formation and development among future social teachers. The authors have put forward the following hypothesis: the use of interactive educational technologies in teaching humanitarian disciplines among future social teachers in practical classes in the form of socio-psychological training (SPT) contributes to the development of emotional intelligence. The students of the Faculty of Social Sciences of L.N. Gumilyov Eurasian National University (ENU named after L.N. Gumilyovy) and the students of the Faculty of Pedagogy of K.Zhubanov Aktobe Regional State University participated in the study. During this study the students had to learn to understand their own feelings and emotions; to control their own emotions, feelings and emotional states; to identify and recognize the emotions of other people, to understand the feelings of partners in communication; to manage the status of communication partners; to choose self-presentation tactics, etc.  In order to achieve these objectives, humanitarian disciplines for social teachers used SPT aimed at actualizing students' creative potential, developing empathy and other components of emotional intelligence (EI).  Analysis of EI indicators of subjects at the first and last stages of the study confirmed our hypothesis that the use of interactive educational technologies in teaching humanitarian disciplines among future social teachers in the form of socio-psychological training (SPT) has a positive impact on the formation and further development of the intrapersonal and interpersonal aspects of emotional intelligence.
Knowleged Based Testing of 4K Syndrome

Abstract “4K Syndrome” is a 3 minutes animated short for student university. The objective of the project is to adapt hybrid animation techniques in the animation, and to evaluate the viability of the techniques in preserving the aesthetical details of the animation. This title is related to university students who are often associated with 4K syndrome which means computer, lecture, bed and cafeteria, in Malay it is called as Komputer, Kuliah, Katil, Kafeteria. This syndrome often happens to students at universities regardless of public or private universities. With all the sophistication and convenience of today’s technology, is it true that the syndrome associated with this ‘epidemic’ is increasingly contagious among students. Reference, studies and design of the project is planned in pre-production. The production covers the preparation of assets, animating the assets, and compositing of the animated footages. The blending of the integration will be tested in the testing phase. The animated short and a complete documentation of the project is expected from the project.
Electronic Voting Machine

This study proposes a complete overview of the voting machine, comparison and issues among the conventional system and EVMs. Voting in election forms the fundamental right of democracy which creates a bridge between the governments and governed. In the current scenario, because of successive advancement in voting methods with technology from ballot paper to EVMs and other methods reduces expense and time, and also increases security and trust of the voter. Most of the voting systems have proven correct but many have concerns and security issues like invalid votes, malicious attack etc. This study proposes an improved voting system based on technology to ensure more reliability and security for user identification of a person, like by introducing biometric or aadhaar link with EVMs. Keywords: EVM (Electronic Voting Machine), voting machine, invalid votes, malicious attack, DRE (Direct-recording electronic) Cite this Article: Anuradha Kumari, Naveen Rathee, Vikas Maheshwari. Electronic Voting Machine. Journal of Communication Engineering & Systems. 2020; 10(1): 32–41p.
Escape Local Minima with Improved Particle Swarm Optimization Algorithm

Particle Swarm Optimization (PSO) is a powerful meta-heuristic technique which has been maneuvered to solve numerous complex optimization problems. However, due to its characteristics, there is a possibility to trap all particles in a local minimum in the solution space and then they cannot find the way out from the trap on their own. Therefore, we modify the traditional PSO algorithm by adding an extra step so that it helps PSO to find a better solution than the local minimum that they undesirably found. We perturb all the particles by adjusting parameter values in the traditional algorithm when there is no improvement of the objective value over the training iterations, assuming that particles have stuck in a local minimum. In this research, we mainly focus on adjusting the learning factors. However, the parameter values have to be used in an effective way to perturb the particles. The behavior of the proposed modification and its parameter adjustments are studied using a function which has a large number of local minima - Schwefel’s function. Results show that 2 out of 3 PSO attempts trap in local minimum and slight changes on learning factors do not help them to get out from the traps. However, perturbances made with large learning factors can find better solutions than the local minima that they stuck in and help to find the global minimum eventually.
In-line 3D Scanning System for Automated Manufacturing of Injected Shoe Midsole

A shoe midsole is manufactured by the phylon mold method in which each product is manufactured successively with differing dimensions due to deformation, and it hinders the automation of shoe manufacture with issues such as size inspection or cement spraying. To address this drawback, it is necessary to perform real-time 3D scanning of the inline conveyor. For the footwear industry, a 3D scanner should have the necessary precision, reasonable cost, and processing speed higher than a commercially available 3D scanner. The optical non-contact method with a line laser is adopted for 3D shape measurement. A laser stripe extraction method and a mathematical model for constructing 3D information are proposed. Unique jig shape and a mathematical method for estimating machine parameters are also expressed. The method of extracting meaningful features from the acquired point cloud and treating the abnormal data in toe and heel is discussed.
The 5 Best Canon FTbn Camera Lenses

The Canon FTbn is a wonderful 35mm film camera. The top 5 lenses for the Canon FTbn will be talked about in this article. More details are below, ...
Survey of RDF Keyword Query Techniques

Abstract With the development of the Semantic Web and information extraction technologies, more and more available RDF data has emerged on the Web. It has become one of the research hot spots in semantic Web technology. In this paper, in terms of RDF data organization and storage, as well as query expression, query processing. The analysis and comparison of RDF keyword query approaches are presented deeply and future research challenges are put forward.
IMPROVING THE FOURTH-GRADE STUDENTS’ ACHIEVEMENT IN WRITING PROCEDURE TEXT AT SDN MOJOTENGAH I SUKOREJO BY USING PICTURE MEDIA

fourth grade students at SDN Mojotengah I Sukorejo remains low with mastery learning reaching 10.53% and not fulfilling the KKM, that is, 80%. This is due to the difficulty in writing procedure textstudents to catch information clearly, compared to the information expressed through wordsimprove fourth grade students’ achievement in writing procedure text at SDN Mojotengah I Sukorejo by using picture media. This research was a classroom action research. The data were analyzed quantitatively. Meanwhile, the data were collected by using writtenResults indicated an improvement in students’ writing achievement on content and language aspects thanks to the use of picture media. Thus, it is clear that picture media improved fourth grade students’ achievement in writing procedure text at SDN Mojotengah I Sukorejo. Teachers are suggested to use more varied pictures in writing procedure text activity. Future researchers are expected to develop innovative and effective learning media to enhance the quality of learning process.
COMPUTER SIMULATIONS FOR DELAY IMPULSIVE DISCRETE NEURAL NETWORKS

A discrete Hopfield-type neural network with constant delays, instan-taneous switching topologies at certain times and time variable connection weights isstudied. Several models for the neural network are considered to illustrate the influ-ence of different factors on the behavior of the solutions. These factors include theinitial conditions, the impulsive conditions, the activation functions and the number ofagents in the network. Each model is computer realized by coding the correspondingalgorithms for calculating the values of the solution for each step.
No slides for my talk on creating ...

No slides for my talk on creating an #oer network using #IndieWeb building Blocks for #Apereo20 but here is some background: The why: https://threadreaderapp.com/thread/1226325762032197632.html
SKILLS TO WORK WITH YOUNG PEOPLE INTERESTED IN MUSIC AND ART

n this article, we encourage and inspire young people who are interested in music and the arts in secondary schools to develop their talents.
Research on the Learning Status and Countermeasures of Online Course for College Students

In recent years, with the development of Internet technology, online learning is gradually rising and popularizing. Many colleges and universities in China have opened online courses, and the traditional learning mode of college students has changed a lot. Online courses are favored by the majority of users due to their rich resources, diversified learning forms and flexible and convenient features. This paper conducts an investigation on the application status of online courses in college students’ learning, aiming at discussing the learning situation, learning effect and learning demand of college students’ using online courses, and then gives corresponding countermeasures to promote the further promotion and construction of online courses in college students’ learning.
EFFECT OF PERFORMANCE MANAGEMENT SYSTEMS ON EMPLOYEE PRODUCTIVITY: THE CASE OF KENYA FORESTRY RESEARCH INSTITUTE (KEFRI)

This study sought to establish the effect of performance management systems on employee productivity at KEFRI. Specific objectives were to: establish the effect of performance appraisal on employee productivity; establish the effect of performance monitoring on employee productivity; find out how communication and feedback affect employee productivity and to establish how performance contracting affect employee productivity in KEFRI. The study was conducted through correlational research design. Target population consisted of vaious employees, being HR managers, research and development officers, administration and finance staff, enterprise staffs, and supply chain officers. Yamane’s formula was used to obtain a sample size. Stratified random sampling was used to select study respondents. Questionnaire was used for data collection. Validity of instrument was realised through incorporation of opinions of the supervisors. Reliability was attained through test-retest during a pilot study involving randomly selected employees from the organization. Multiple regressions was used to compare the relationship between coefficients of performance management practices and employee productivity. Findings revealed that there was a moderate level of employee productivity, while performance monitoring and performance contracting both have had moderate effects on employee productivity. However, performance appraisal and communication/feedback had high effects on employee productivity. All the variables had significant effect on employee productivity hence the hypotheses that performance appraisal, performance monitoring, communication/feedback, and performance contracting have no significant effect on employee productivity were rejected. The study concluded that performance management system is a significant predictor of employee productivity. It was recommended that employees be involved in designing both performance monitoring and contracting practices to align them with their own capabilities. Further research need to be done on the effects of employee involvement in designing performance monitoring and performance contracting practices on employee productivity. Key Words: Performance Appraisal, Performance Monitoring, Communication And Feedback, Performance Contracting, Employee Productivity CITATION: Nabangala, J., &amp; Amuhaya, J. (2020). Effect of performance management systems on employee productivity: The case of Kenya Forestry Research Institute (KEFRI). The Strategic Journal of Business &amp; Change Management , 7(2), 579 – 606.
Galaxy Zoo Builder: Four Component Photometric decomposition of Spiral Galaxies Guided by Citizen Science

Multi-component modelling of galaxies is a valuable tool in the effort to quantitatively understand galaxy evolution, yet the use of the technique is plagued by issues of convergence, model selection and parameter degeneracies. These issues limit its application over large samples to the simplest models, with complex models being applied only to very small samples. We attempt to resolve this dilemma of quantity or quality by developing a novel framework, built inside the Zooniverse citizen science platform, to enable the crowdsourcing of model creation for Sloan Digitial Sky Survey galaxies. We have applied the method, including a final algorithmic optimisation step, on a test sample of 198 galaxies, and examine the robustness of this new method. We also compare it to automated fitting pipelines, demonstrating that it is possible to consistently recover accurate models that either show good agreement with, or improve on, prior work. We conclude that citizen science is a promising technique for modelling images of complex galaxies, and release our catalogue of models.
Non-verbal Means of Communication in the Turkish Language and Their Corresponding Expressions

The article attempts to describe the gestures used by the representatives of Turkish culture and to classify them by comparing them with Russian gestures. While analyzing gestures, the principle of lacunarity, the absence of a phenomenon in a comparable language, was taken into account. The material of the study was the observation of the process of communication of representatives of various cultures with native speakers of the Turkish language, an analysis of literature, from which one could draw descriptions of certain gestures, materials of modern media. The research methodology is based on a comparative analysis of two languages in an asynchronous context. The study of gestures led to the following results: 1) the vast majority of gestures are lacunas (which have no analogs in another culture) for a representative of Russian culture; 2) gestures close in execution have distinctive features that do not allow them to be equated to Russian gestures in full. The possible coincidence of gestures in the aspect of execution, an increase in the number of borrowed gestures from Western cultures, once again proves that it is a nonverbal culture that is a ‘living substance’, influenced by cultural and socio-political changes in society. Nevertheless, in spite of this, today it is possible to establish and describe purely Turkish gestures, which are an integral part of communication with representatives of Turkish culture.
Relationship Analysis of Resignation Cognition and Career Identity of Students Majoring in Editing and Publishing in the Context of New Media Technology

Abstract Due to the impact of new media technology, the phenomenon of media personnel resignation is becoming more and more common, which weakens the career identity of local university students majoring in Editing and Publishing. The questionnaire survey was conducted among students majoring in Editing and Publishing in a university in Jilin Province. It was found that students’ career identity was on the upper middle level. There were significant differences among students of different genders and grades in their career identity. There was no significant difference in career identity between students with or without media experience and those with or without family members working in media. Based on the above results, three strategies are put forward to improve the career identity of students in this major: first, the cultivation of career identity should be closely linked with the industry; second, the cultivation of career identity should be student-centered; third, the cultivation of career identity should be incorporated into the target system of practical teaching.
CREATING MOBILE AND WEB FILTERED NEWS AGGREGATOR APPLICATION

The main purpose of producing this application is to provide a news aggregator application which is providing user interface which is different from existing news aggregator application in Indonesia, implementing gamification, and capability of analyzing text and URL. This application is also designed properly based on Shneidermans Eight Golden Rules of Interface Design and UIX kit which is designed by professional. Besides, this application will have several basic functions of current news aggregator applications that have been researched and there are features that have not been implemented in news aggregator application and upgrades such as URL and text analyzer, real time notification, enhanced user profile page, and gamification integration. Furthermore, there is also a result of the usability survey using SUS questionnaire including the several samples of the survey.
Evolving Zoomorphic Creatures

The previous chapter presented the infrastructure that models and builds zoomorphic creatures. However, so far, the creature cannot do much: it stands where it was originally located, and we are lucky when it does not fall on its side. This chapter makes the creatures evolve to accomplish a displacement task, such as moving toward a particular direction or passing through some obstacles.
A IMPLEMENTASI TERM FREQUENCY – INVERSE DOCUMENT FREQUENCY (TF-IDF) DAN VECTOR SPACE MODEL (VSM) UNTUK PENCARIAN BERITA BAHASA INDONESIA

A search engine that already exists and widely used today can be provide the result of information very much, so it takes time to sort through the information in need. research with the title The “implementation term frequency-inverse document frequency (TF-IDF) and vector space model (VSM) to search a news of Indonesian language” have a purpose to develop the method of quick search uses TF-IDF method and vector space model. There are two main processes in the search system of news that are indexing and retrieval. process of indexing is a process to give assessment to the words on document, the method of assessment in this research uses an assessment of method TF-IDF. process of retrieval is a process of calculating the slope of the query against the document, the calculation of the similarity using concept vector space model by finding the value of cosine similarity. Based on the analysis and implementation in the build of search system in the news. quick method of search can be built using vector space model. system build by this method of vector is able to display a results of search that relevant accordance with the query in the user input. Keywords: term frequency - inverse document frequency, vector space model, search anews of Indonesian language, indexing, retrieval.
Confidentiality Preserving Technique for Multiple Co-Related Sensitive Numeric Attributes

Privacy Preservation of released data is a serious issue now days. If a dataset contains multiple correlated attributes then privacy concerns related to data set increases, because data publisher has to release data set in such a way that data is secure from disclosures as well as their co-relation is maintain as well. If attributes whose co-relations should be maintained contain set of multiple numerical sensitive attributes then the privacy preserving become very tough task. So, there is a need of a new privacy preservation technique which is specially focused on this direction. This work is focused on privacy preservation for dynamic dataset. Here, dynamic data set means data publisher can add or remove attributes at the time of applying privacy preservation technique and release results. Data set attributes may be vary as per dataset release objective.