Reviewerly/exHarmony huggingface dataset:
Emotional Intelligence As A Formation Factor Of Students’ Key Competences

The article discusses the problems of formation of important social competences of the rising generation. Analysis of foreign and domestic publications suggests that in the periodically updated list of key competencies, these skills are becoming more and more demanded, due to the increase of number of working populations in the service sector, the non-production sector, which requires a certain level of social competence. Social competences cannot be fully developed exclusively in vocational education, although today they are becoming in demand in professional activity, warning “teacher’s professional burnout”. The formation of these competencies is largely personal in nature, which is why this process is rather long in nature and should start from early childhood. The article analyzes the conditions and features of the formation of an important component of social competence – emotional intelligence – in the conditions of school education. The author insists that in the conditions of the information society and the digital economy, many children suffer from sensory impairments, because live communication (with parents and peers), being in real objects often replaces gadgets with them. Modern school is forced to fill the deficiencies of social development of students. The author proposes ways to solve this problem: to build in the process of forming emotional intelligence in the educational process in elementary school.
THRESHOLD METHOD FOR CONTROL OF CHAOTIC OSCILLATIONS

In this paper, threshold method for control of chaotic (nonlinear) oscillations is presented. Main principles as how to use this method are describe more detail. One of the practical realizations, i.e., circuit of generator that generate chaotic oscillations, circuit that realize this method and allows to control of chaotic oscillations are also presented.
Artificial Intelligence in Health Care and Medicine: A Personalized Approach

Artificial Intelligence (AI) is becoming more and more ubiquitous, and AI also invades health care and related fields ever more.
THERMAL TOPOLOGY OPTIMIZATION DESIGN OF SPINDLE STRUCTURE WITH A HYBRID CELLULAR AUTOMATON METHOD

A hybrid cellular automaton model combined with a finite element method for thermal topology optimization of spindle structure is developed.The higher order 8-node element and von Neumann strategy are employed for the finite element and the cellular element, respectively.The local sensitivity filtering algorithm and the weight approach are applied.The four validating studies of two-dimensional structure for thermal topology optimization are carried out.The structure evolution and thermal distribution evolution of thermal topology optimization are investigated.The results show the developed hybrid method is more efficient for thermal topology optimization.Meanwhile, the thermal topology optimization for spindle structure can save structural volume under the same condition.
Research on Monitoring the International Dissemination of Chinese Based on Web Search Data

Web search data contains the needs and concerns of network users, provides the necessary data base for the study of social and economic behavior. Based on the study of Chinese learning in the way of English keywords, this paper expands its orientation to multilingualism. The results showed that the number of students studying in China and the three types of search index has a strong correlation, and the fitting degree of the monitoring model is 99.93%.
PERSUASION AS A MEANS OF PSYCHOLOGICAL INFLUENCE IN THE MANAGEMENT ACTIVITIES OF SECONDARY SCHOOL HEADMASTERS

This article generalizes scientifically the theoretical knowledge about management and its peculiarities, represents psychological mechanisms which an administrator uses to influence the staff, discovers the essence of psychological influence and its role in management activities, reveals the results of theoretical and empiric investigation of the means of psychological influence as an inseparable part of administrator’s psychological competence. It shows the peculiarities of persuasion as one of the most effective and widely used means of psychological influence applied in management activities of the secondary school headmasters. An effective management is not possible without the use of psychological mechanisms of influence. They are inseparable and the most important factors in the structure of an administrative work. The problem of a manager’s influence on the staff is now very important, for management means interactions between those who directs and those who are directed. That is why it is evident that at interactions different forms of influence are applied constantly. It is important that the influence should be conscious and purposeful. For the effective influence on staff’s activities, a contemporary manager should have a profound understanding of the psychological bases of management, the ability to provide conditions which stimulate an effective collective work in an organization.&nbsp; There are a lot of different classifications of the means of psychological influence. But the results of theoretic&nbsp; and empiric investigation show that the most effective means of psychological influence are persuasion, suggestion, contagion, commitment and request, regardless of the age, social status and education differences. The main attention in the article is paid to one of the most wide spread means of psychological influence – persuasion, which is revealed through process of argumentation. That is why the main focus of our study is laid upon the notion of argumentation as a basic instrument in persuasion formation applied during communicative interactions. The results of investigation represent the argumentation structure, mechanisms and techniques of its achievement. &nbsp
Combining Data Owner-side and Cloud-side Access Control for Encrypted Cloud Storage

People endorse the great power of cloud computing, but cannot entirely trust the cloud suppliers to host privacysensitive information, because of the absence of user-to-cloud controllability. to form certain confidentiality, information owners supply encrypted information instead of plaintexts. To share the encrypted files with different users, Ciphertext-Policy Attributebased secret writing (CP-ABE) is also accustomed conduct fine-grained and owner-centric access management. but this does not sufficiently become secure against different attacks. many previous schemes did not grant the cloud provider the ability to verify whether or not or not a downloader can decipher. Therefore, these files have to be compelled to get on the market to everyone accessible to the cloud storage. A malicious wrongdoer can transfer thousands of files to launch Economic Denial of property (EDoS) attacks, that is ready to principally consume the cloud resource. The money dealer of the cloud service bears the expense. Besides, the cloud provider serves every as a result of the capitalist and conjointly the recipient of resource consumption fee, lacking the transparency to information owners. These issues have to be compelled to be resolved in real-world public cloud storage. throughout this paper, we tend to tend to propose a solution to secure encrypted cloud storages from EDoS attacks and provide resource consumption answerability. It uses CP-ABE schemes in associate degree passing black-box manner and complies with impulsive access policy of CP-ABE. we tend to tend to gift two protocols for varied settings, followed by performance and security analysis.
A Categorization of Reinforcement Learning Exploration Techniques which Facilitates Combination of Different Methods

The exploration vs. exploitation problem in reinforcement learning has received much attention lately. It is difficult to get a complete overview of all the exploration methods, and what methods can or can not be used together in a combined algorithm. We propose a categorization of exploration techniques based on the mechanism through which they generate exploratory policies. This enables plug-and-play combination of exploration techniques from each category. We show how to combine methods from different categories and demonstrate that such a combination can result in a new exploration technique which outperforms each individual method.
Pengaruh Keluarga Dalam Pemerolehan Bahasa kedua Pada anak usia 1.5 tahun: Sebuah Analisis Teori Monitor Krashen

Abstract: The object of this research is to describe and comprehensively understand cognition in second language acquisition in children aged 1; 5 years: a formal approach to the type of Krashen monitor theory. The method in this study uses a qualitative approach. Qualitative because based on taking a historical data in the form of observation and recording using electronic media as a recorder of speech forms.Data is collected through data collection by recording and then recording one word and two words from the child's speech then describing it syntactically the words that the child uttered. The method used is observation and conversation by asking a few questions. The object in this study was a child named Raffasya Wirayudha who was 1; 5 years old.. The findings in this study were to test the development of second language acquisition with the type of monitor theory. The model theory is applied in children aged 1, 5 years who have a first language (Sundanese) and a second language (Indonesian). So that we can know the level of mastery of each language with the type of monitor model. The findings are: 1. Language acquisition and learning can be carried out in the family sphere, 2. The development of B2 language learning is more interactive if using media, and 3. Language problems can be solved if it gives the child the opportunity to talk and control unstable emotions in the speakers when speaking.
Kidney and tumor segmentation using combined Deep learning method

This paper presents our method for automatic segmentation for kidney and tumor as part of the Kidney Tumor Segmentation Challenge (KiTS19).The KiTS19 Challenge had released a dataset of 300 unique kidney cancer patients, with manual annotations done by Climb 4 Kidney Cancer (C4KC).Here we have proposed our new combined cascade deep learning (DL) approach for solving the tasks of the challenge.We used deep learning based detection for localising kidney with the tumor, followed by deep learning based segmentation to create the labels for kidney and tumor locally.Our approach resulted in high recall (96.13) and high Jacquard score (95.4) on the randomly selected 30 volumes that were picked as the validation set.
Optimization of Idea Mining Model based on Text Position Weight

Predictable behaviour of any system is important in order to ensure that its performance is always optimal.Researchers have used many techniques to model system's performance based on the data collected in many different runs to predict the ideal setting for any system.In idea mining, the probabilistic weights of the position of idea in a text needs to be set for optimal setting.In this paper, an experiment with a total of 10,000 runs with different randomly assigned weights is conducted for the idea mining model in order to discover the optimal setting.Based on the mean average score (MAP) score produced in each run, a prediction of the optimal weight is discovered by using the curve fitting based on the least squares method and the artificial neural network (ANN) model.Based on the findings, the ANN model appears to be more suitably fit as compared to the least squares method, which suggests that the data is nonlinear in nature.
Analysis of the use of e-learning projects contemporary instruments

The article describes the main stages of the e-learning management project, examines the main structural errors and errors in the process of creating courses and organizing training. The main groups of risks for the e-learning project are identified. The list of technological standards and regulations for e-learning project is given. A review of the features of specialized software is provided. Methodological recommendations for evaluating the effectiveness of e-learning project are developed
Non-Cooperative Rational Interactive Proofs.

Interactive-proof games model the scenario where an honest party interacts with powerful but strategic provers, to elicit from them the correct answer to a computational question. Interactive proofs are increasingly used as a framework to design protocols for computation outsourcing. Existing interactive-proof games largely fall into two categories: either as games of cooperation such as multi-prover interactive proofs and cooperative rational proofs, where the provers work together as a team; or as games of conflict such as refereed games, where the provers directly compete with each other in a zero-sum game. Neither of these extremes truly capture the strategic nature of service providers in outsourcing applications. How to design and analyze non-cooperative interactive proofs is an important open problem. In this paper, we introduce a mechanism-design approach to define a multi-prover interactive-proof model in which the provers are rational and non-cooperative---they act to maximize their expected utility given others' strategies. We define a strong notion of backwards induction as our solution concept to analyze the resulting extensive-form game with imperfect information. Our protocols provide utility gap guarantees, which are analogous to soundness gap in classic interactive proofs. At a high level, a utility gap of u means that the protocol is robust against provers that may not care about a utility loss of 1/u. We fully characterize the complexity of our proof system under different utility gap guarantees. For example, we show that with a polynomial utility gap, the power of non-cooperative rational interactive proofs is exactly P^NEXP.
GUIDELINES FOR DEVELOPING INFORMATION SECURITY TRAINING AND AWARENESS PROGRAMS IN GOVERNMENT AGENCY: THE PERSPECTIVE OF ADDIE INSTRUCTIONAL DESIGN MODELS (A CASE STUDY IN INDONESIAN GOVERNMENT AGENCY)

Ideally, every government agency must be able to develop training programs and information security awareness in its own environment. But the fact is in Indonesia, not all of government agencies have implemented training programs and information security awareness. Thirteen percent of the respondents surveyed said they already had the program but were not structured and had no guidance, so the program was not well organized. This study provides a structured guide to building an effective information security training and awareness program, based on the ADDIE instructional design model approach (analyze, design, develop, implement, and evaluate). The results of the study state that the ADDIE instructional design model can be used to construct training programs and information security awareness in government agencies in a structured manner and can guarantee that training, awareness, education and professional development are not stagnant and can always be relevant in answering information security issues that occur in organizations.
Design of a Nanolaser for Neuromorphic Computing

We introduce a model describing a photonic crystal III-V/Silicon nanolaser composed of two sections. We predict an excitable dynamics mimicking a neuron-like response. This technology is scalable and amenable to massive integration.
Designing to Support Workspace Awareness in Remote Collaboration using 2D Interactive Surfaces

Increasing distributions of the global workforce are leading to collaborative workamong remote coworkers. The emergence of such remote collaborations is essentiallysupported by technology advancements of screen-based devices ranging from tabletor laptop to large displays. However, these devices, especially personal and mobilecomputers, still suffer from certain limitations caused by their form factors, that hinder supporting workspace awareness through non-verbal communication suchas bodily gestures or gaze. This thesis thus aims to design novel interfaces andinteraction techniques to improve remote coworkers’ workspace awareness throughsuch non-verbal cues using 2D interactive surfaces.The thesis starts off by exploring how visual cues support workspace awareness infacilitated brainstorming of hybrid teams of co-located and remote coworkers. Basedon insights from this exploration, the thesis introduces three interfaces for mobiledevices that help users maintain and convey their workspace awareness with their coworkers. The first interface is a virtual environment that allows a remote person to effectively maintain his/her awareness of his/her co-located collaborators’ activities while interacting with the shared workspace. To help a person better express his/her hand gestures in remote collaboration using a mobile device, the second interfacepresents a lightweight add-on for capturing hand images on and above the device’sscreen; and overlaying them on collaborators’ device to improve their workspace awareness. The third interface strategically leverages the entire screen space of aconventional laptop to better convey a remote person’s gaze to his/her co-locatedcollaborators. Building on the top of these three interfaces, the thesis envisions an interface that supports a person using a mobile device to effectively collaborate with remote coworkers working with a large display.Together, these interfaces demonstrate the possibilities to innovate on commodity devices to offer richer non-verbal communication and better support workspace awareness in remote collaboration.
THE INFLUENCE OF LECTURER’S PEDAGOGIC AND PROFESSIONAL COMPETENCES TOWARD STUDENTS’ WRITING PROFICIENCY AT POLITEKNIK ILMU PELAYARAN MAKASSAR

Foreign language teaching and learning, especially English language for communication as sea is a part of curriculum in all maritime colleges. This is because English has been used as the sea language in a whole world. As a foreign language in Indonesia, it requires more skills to be able to teach it because besides teaching the subject matters, the lecturer’s competence is necessary for the successful learning process. The research aimed at finding out: (1) the profile of students’ writing skill at deck department of Politeknik Ilmu Pelayaran Makassar, (2) the influence of pedagogic competence toward students’ writing proficiency at Deck Department of Politeknik Ilmu Pelayaran Makassar, (3) the influence of professional competence toward students’ writing proficiency at Deck Department of Politeknik Ilmu Pelayaran Makassar. The research applied quantitative design with applying the ex post facto method. The subject of this research consists of second semester of Deck (Nautical) department of Politeknik Ilmu Pelayaran Makassar. The data was collected using the result of student’s writing proficiency and questionnaire. The quantitative data was first tabulated and then classified according to the given score ranges, and finally categorized in regard to the given criteria. The result of data analysis showed that (1) The profile of students’ writing skill is categorized into moderate category (2) Pedagogic competence has positive and significant influence towards students' writing proficiency. The correlation between the pedagogic competence and the students' writing proficiency is 0.783 or 78.3%. (3) Professional competence has positive and significant influence towards students' writing proficiency. The correlation between the professional competence and the students' writing proficiency is 0.529 or 52.9%.
Encryption based Privacy Preservation on Big Data using Dynamic Data Encryption Strategy

Big data is termed as huge volume of both structured and unstructured dataset. When dealing with these huge dataset several challenges are encountered by the users such as analysis, capture, storage, search, transfer, sharing, and visualization. To handle these complex data sets numerous technologies have been developed. With the developing technologies and all its connected devices, it is predicted that vast amount of data is produced in the last couple of years. There are many algorithms available for clustering the big data. This section focus on the density based clustering algorithms and its related works. Technology is enhancing each and every day especially in the field of Information Technology and data is very momentous elements. The large volume of data generated through devices is a major obstacle to handle in real time. The accomplishment of data ciphering is a crucial problem during the data progression and dissemination. In order to achieve pursuance, many application disregards data encryption. This article represents a concern about data privacy and suggests a novel data encryption approach known as Dynamic Data Encryption Strategy (DDES).
The Grammatical Nature of Time Referral

As long as the time in its entirety is absolute, however, in the discourse it is “made up” or concretized from the phenomenon or concrete event taken into consideration, thus we cannot ‘abstract’ the grammatical dimension of the statement under any circumtance, as we cannot abstract the objective time and observer, because only in co-fulfillment they “fulfill” each other. Identification of the time mark from which the event is expressed with the verbal form in time, the grammatical nature of these moments, as the moment of speech (of speaking time), which is of instant nature, timely extension and most wide, then the time of the action and the time of expression of the statement are with the same orientation function for the time reference will be the subject of consideration during the elaboration of this paper. Obviously, other observations that are of interest to our consideration, with the character of uncontested grammatical facts in context, such as realistic reports of timely events, relative character of grammar setting etc., will be at the center of attention to as much as the nature of this paper.
STEM Learning on Electricity using Arduino-Protoboard Experiment to Improve 8th Grade Students’ STEM Literacy

This research aims to investigate the effect of STEM learning on STEM literacy in learning electricity concept.The method used in this research was Weak Experimental method.The quantitative data of this research is gained through objective test, while the qualitative data was gained by observation sheet.According to the analysis of the study, it is obtained an improvement in students' STEM literacy, especially in technology, engineering, and mathematics literacy while students' scientific literacy shows negative improvement.The increase of students' science, technology, engineering, and mathematics literacy obtained through normalized gain systematically by -0.02, 0.22, 0.12, and 0.03 categorized as low improvement.Even though students cannot relate the scientific concept occurs during the experiment, students are excited to conduct the project using Arduino-Protoboard experiment since they had the experience to use the latest kind of technology.