Reviewerly/exHarmony huggingface dataset:
A steganographic method of improved resistance to the rich model­based analysis

This paper addresses the task of developing a steganographic method to hide information, resistant to analysis based on the Rich model (which includes several different submodels), using statistical indicators for the distribution of the pairs of coefficients for a discrete cosine transform (DCT) with different values. This type of analysis implies calculating the number of DCT coefficients pairs, whose coordinates in the frequency domain differ by a fixed quantity (the offset). Based on these values, a classifier is trained for a certain large enough data sample, which, based on the distribution of the DCT coefficients pairs for an individual image, determines the presence of additional information in it.A method based on the preliminary container modification before embedding a message has been proposed to mitigate the probability of hidden message detection. The so-called Generative Adversarial Network (GAN), consisting of two related neural networks, generator and discriminator, was used for the modification. The generator creates a modified image based on the original container; the discriminator verifies the degree to which the modified image is close to the preset one and provides feedback for the generator.By using a GAN, based on the original container, such a modified container is generated so that, following the embedding of a known steganographic message, the distribution of DCT coefficients pairs is maximally close to the indicators of the original container.We have simulated the operation of the proposed modification; based on the simulation results, the probabilities have been computed of the proper detection of the hidden information in the container when it was modified and when it was not. The simulation results have shown that the application of the modification based on modern information technologies (such as machine learning and neural networks) could significantly reduce the likelihood of message detection and improve the resistance against a steganographic analysis
Experimental work on Data Clustering using Enhanced Random KMode Algorithm

Clustering the uncertainty data is not an easy task but an essential task in data mining.The traditional algorithms like K-Means clustering, UK Means clustering, density based clustering etc, to cluster uncertain data are limited to using geometric distance based similarity measures and cannot capture the difference between uncertain data with their distributions.Such methods cannot handle uncertain objects that are geometrically indistinguishable, such as products with the same mean but very different variances in customer ratings.Because of its complexity, the clustering takes high execution time resulting in high computational cost.In this we propose a Enhance Random K-Mode algorithm which is also called as ERK-Mode to cluster the uncertainty data.The K-mode concept classifies the dataset and separates as certain and uncertain data from the whole dataset.Again enhanced random K-Mode is used to cluster the uncertainty data.The Weather data values are taken in to the account for experiments [3].The experiment shows that the proposed algorithm is very efficient with fast execution time and low complexity.
Virtual machine optimization to achieve energy efficient optimum resource utilization in cloud data center

Objectives: Cloud offers multiple benefits through its data center-based services.The whole world uses these services that are hosted by physical machines.Millions of virtual machines get an optimized utilization of hardware to utilize these physical machines.The unbalanced distribution of virtual machines to physical machines offers an in-efficient utilization of data center hardware that will also lead to more carbon emission and harm the environment as well.Methods/material: A learning function is needed to offer energy efficiency in the cloud data center through VM optimization through its optimal allocation to physical machines.Therefore, an optimal VM placement and migration algorithm is a challenge that is addressed in this paper to reach an efficient energy optimization and resource utilization level.Finding/Novelty: The proposed algorithm is led by a learning function that takes into account the available number of physical machines, number of virtual machines, incoming requests and decides to run an optimal number of physical machines to obtain energy efficiency level for the cloud data center by migrating the virtual machines (VMs).
The development of soft skills among students during a business game

The growth of competitiveness of university graduates in the labor market is growing due to the development of soft skills. The purpose of this article was to identify the most rational form of practical training for the development of soft skills among students. The paper used an analysis of the effectiveness of the application of the author’s methodology for conducting a business game. The empirical basis was the results of a sociological survey of students based on the results of practical exercises in the form of the business game “Search for Truth”. The opinion poll was attended by 487 students from 39 study groups. As a result, it was found that this form allows students to increase the development efficiency of creativity, the ability to go out to innovative knowledge, communication skills, the ability to work in a team, fairly evaluate their colleagues, leadership qualities, and stress resistance. The growth of excitement in achieving victory, a sense of responsibility for collective actions as part of multilingual and multicultural groups is revealed. Ways of neutralizing negative phenomena during and after classes are proposed. The study showed that the business game contributes to the development of soft skills among students.
Construction and discussion of sensitive quality index of blood purification nursing

ObjectiveTo establish a sensitive quality index system for blood purification nursing, providing reference for the evaluation and monitoring of nursing safety quality in the blood purification room, and providing quality control targets and basis for nursing managers.MethodsSet up a research team to analyze the patient data, nursing bad events, draw on the data of the National Nursing Quality Control Center and other research results of nursing experts at home and abroad. The research team conducted analysis and discussion, expert meeting consultation(discussed by professional nursing experts in Beijing and Inner Mongolia), expert letters, screening and final determination of nursing sensitive quality indicators.ResultsFinally, a set of 13 sensitive quality indicators for specialized care for blood purification was constructed, including 3 structural indicators, 10 outcome indicators and 100% effective recovery rates for the two rounds of expert questionnaires. The indicators for consultation are 0.12-0.17 and 0.10-0.14, respectively, and the expert authoritative coefficients are 0.786 and 0.807, respectively, which are statistically significant (P< 0.01).ConclusionThe system of sensitive quality index of blood purification nursing is in conformity with the principles of science, reliability and practicality, and can be used as a tool for evaluating the quality of blood purification room nursing safety.Key words: Hemodialysis; Quality index; Delphi
A transversal methodology for the implementation of virtual reality in Architecture learning

Virtual reality (VR) has achieved an adequate level of development in education and research in higher education The training in Architecture requires a reflection on the incorporation of new design technologies at the Degree and Master’s level, due, in part, to the dissatisfaction of the students with the poor implementation of these technologies. The pedagogical possibilities of VR are very high. The aim of this paper is to propose a transversal methodology for several subjects in the same semester. It consists of the virtual recreation of a work of relevant architecture in the history of contemporary Architecture. The possibilities of implementing VR in the architectonic subjects are analyzed. This methodology takes advantage of the potential of this technology to create a transversal educational activity, for different subjects and areas of knowledge in the same academic year. Subsequently, the different phases for its implementation are described in terms of activities and scenarios. The paper concludes that transversal methodology offers the opportunity to analyze the same building from different disciplines, checking the interrelation between them, and saves time for the student in completing teaching assignments.
Video Saliency Detection via Pairwise Interaction

We propose a novel video saliency detection method based on pairwise interaction learning in this paper. Different from the traditional video saliency detection methods, which mostly combine spatial and temporal features, we adopt Least squares Conditional random field (LS-CRF) to capture the interaction information of regions within a frame or between video frames. Specifically, dual graph-connection models are built on superpixels structure of each frame for training and testing, respectively. In order to extract the essential scene structure from video sequences, LS-CRF is introduced to learn the background texture, object components and the various relationships between foreground and background regions through the training set, and each region will be distributed an inferred saliency value in testing phase. Benefitting from the learned diverse relations among scene regions, the proposed approach achieves reliable results especially on multiple objects scenes or under highly complicated scenes. Further, we substitute weak saliency maps for pixel-wise annotations in training phase to verify the expansibility and practicability of the proposed method. Extensive quantitative and qualitative experiments on various video sequences demonstrate that the proposed algorithm outperforms conventional saliency detection algorithms.
PROBLEM BASED LEARNING

The aims of research are (1) The implementation of Problem Based Learning strategy to teach speaking descriptive text (2) To find the problems of Problem Based Learning strategy to teach speaking descriptive text (3) To know the solutions of the Problem Based Learning strategy to teach speaking descriptive text. The type of this research is descriptive qualitative research and researcher uses case study in answering the problem of the research. This research takes the seventh grade students of SMPN 1 Bendo, Kabupaten Magetan in term 2018/2019. The results of research show that the implementation Problem Based Learning strategy to teach speaking descriptive text are (1) by explaining the materials while the students do the task in pair and (2) by giving steps in teaching learning process (pre-activities,whislt-activities and post-activities). The problem of Implementation of PBL strategy are (1) some students are difficult to translate from Indonesian into English and (2) some students need more time to do the task. Meanwhile, solution of the implementation of PBL strategy to teach speaking are (1) The teacher gives more time to the students doing the task; (2) Students cooperate each other with friends; (3) The students use the real thing.
TO THE ISSUE ABOUT SOCIAL FACTORS OF FORMATION OF MODERN UNIVERSITY’S SCIENTIFIC POTENTIAL

The object of the research is the scientific potential of the modern university, and the subject is the system of social factors of its formation. The purpose of the study is to identify the role of social factors in the development of the scientific potential of the modern university. The methodological basis of the paper is a system-dynamic approach to the study of scientific potential, which consists in the consistent disclosure of its spatial, temporal and technological components. Within the framework of the first component, it is necessary to emphasize such a little-studied aspect as the social foundations of scientific potential, including the system of values of employees and students of the university, their motivation to engage in scientific activity and the level of prestige of scientific activity at the university. The components of the scientific potential of the modern university have been analysed in the article. In particular, the close interrelation of the specified social factors with personnel bases of scientific potential of higher education institution, namely with tendencies of development of its personnel structure has been revealed. A system for assessing the social factors of the scientific potential of the university has been proposed. The results of the study can be used by universities to increase the level of motivation of teaching staff to research activities, as well as the Ministry of Education and Science of Russia – in assessing the research activities of Russian universities.
Electromagnetic Side-Channel Attack on AES using Low-end Equipment

Side-channel attacks on cryptographic algorithms targets the implementation of the algorithm. Information can leak from the implementation in several different ways and, in this paper, electromagnetic radiation from an FPGA is considered. We examine to which extent key information from an AES implementation can be deduced using a low-end oscilloscope. Moreover, we examine how the antenna's distance from the FPGA affects the results in this setting. Our experiments show that some key bits indeed can be inferred from the measurements, despite having a far from optimal setting.
Implementasi Interpolasi Newton Gregory pada Model Matematika Penyebaran Virus Corona di Indonesia

The purpose of this study is to analyze the development of pandemics in all regions of Indonesia. the method used is the Newthon Rapshon interpolation method, to determine the percentage of the development of the corona virus spread in Indonesia and the method using a qualitative method by analyzing and describing data that has been simulated. The results obtained are predictions of covid-19 cases that occur in May, June, July until August, ie in those months there will be an increase in all cases that occur about this pandemic namely positive patients, recovered and died will continue to increase with a positive final conclusion&gt; cured = died and obtained pn (x) = 2 for patients cured, pn(x) = 0 for cured and dead patients, in this study found pn(x) = 0 because the vaccine for this pandemic has not been found so the possibility of recovery and death has not been obtained its MAPE value, but an increase in cases of recovery is predicted to continue to occur as well as cases of death.
Maxim’s Flouting: An Analysis of Classroom Interaction

This study focuses on analyzing the maxim flouting between the teacher and students of XI IPS in SMA PGRI 2 Bandung during classroom interaction. The objective of this study is to find out the types of flouting maxim produced by teachers and students. Furthermore, this study also investigates the effects of maxims flouting to classroom activity. This study implements descriptive qualitative as the method of the study. There are five instruments used in this study; those are observation checklist, field note, the script of recorded video, questionnaire, and interview. The result of the study shows that there were four types of maxims flouting produced by the teacher and students during classroom interaction. Moreover, the researchers found four adverse effects of flouting maxim in classroom activity.
LEVELS OF DEMOCRACY IN TASKS OF THE DISCIPLINE «LABOR PROTECTION IN THE EDUCATION SECTOR»

The article explores the issues of implementation of the principles of democracy in the educational process, which consists in providing students with different levels of openness to scientific inquiries. Foreign researchers identify four levels of learning based on requests in science education: confirmation request, structured request, managed request, and open request.The article describes intensive methods that contribute to the introduction of democracy in the educational process: design thinking, problem-oriented learning, case-based training or case studies, the meta-question.The experiment described in the article involves students of different specialties in the implementation of the educational project “I open my school”, which took place in the framework of independent work in the discipline “Labor Protection in the Education Sector”. The experimental tasks had 4 levels of democracy, each of them was performed by 4 groups of undergraduate researchers.The experiment involved students of magistracy of different specialties who, in the framework of independent work, carry out the project “I open my school” at different levels of involvement: level 1 – “reproductive involvement” (confirmation request); level 2–“structural involvement” (structured request); level 3–“guidance involvement” (managed request); level 4–“true (open) involvement” (open request).The criteria were developed for project evaluation, which took into account not only the content, reliability, and correctness of project results, but also the course of project implementation, teamwork ability, delegate powers, etc. The results of the experiment were analyzed: students working at the level of genuine involvement made a more meaningful project, gained more in-depth knowledge and gained personal experience of independently using labor protection regulations in the field of education. Working in groups has made it possible to learn collaboration, mutual respect and teamwork, which develops everyone’s responsibility for success in the common cause.
The Effect of Organizational Culture on Employees Performance in Public Service Organization of Dire Dawa Administration

This study with the title of “The Effects of Organizational Culture on Employee Performance of public service organization of Dire Dawa administration” has an objective of testing whether organizational culture variables have a relation with employee job performance.This is a survey based research study. Primary and secondary data was used in this study. Primary data was gathered via questionnaire about employee performance and organizational culture variables like Employee participation, Openness to communication, Risk taking &amp; innovation, Customer service orientation, Reward system, level of education and experience are considered for this study. The target population of the study was all employees of three public service organization of Dire Dawa administration. Since the size of population was too large to collect data, researcher distributed 371 questionnaires randomly to respondents using the Yamane’s sample size determination formula. Of which, 293 questionnaires were collected back and used for analysis. To analyze the data, in addition to descriptive statistics, multiple regressions was employed using a soft ware package SPSS 20.The researcher found that except experience and level of education all variables of organizational culture have contributed to employee job performance. Particularly employee participation and innovation have a significant contribution to employee job performance. Based on the finding, since communication has a negative significant relation with employee performance, researcher recommended public service organizations should be minimized communication platform to amplify employees job performance as well as develop reward system that motivate its employees. Finally, unless Dire Dawa administration design a new benefit package for public service employees in considering experience and level of education, they should not be focused on experience and level of education so as to increase employee’s job performance and to provide quality service to the society. DOI: 10.7176/DCS/10-5-03 Publication date: May 31 st 2020
Toward More Efficient WMSN Data Search Combined FJLT Dimension Expansion With PCA Dimension Reduction

With the rapid development of 5G technology, the scales and dimensions of the data that are processed by Wireless Multimedia Sensor Network (WMSN) applications will be larger than ever before. Such high-dimensional data search becomes very difficult for WMSN applications. This paper proposes a more efficient WMSN data search algorithm that is based on the fruit fly olfactory neural framework, combined with the Fast Johnson-Lindenstrauss Transform (FJLT) and the Principal Component Analysis (PCA), called Fast Johnson-Lindenstrauss Transform Combine Principal Component Analysis-based Fly Locality-Sensitive Hashing (FP-FLSH). First of all, the data features are quantified numerically. Then, the fruit fly olfactory nervous system framework is used to project the data to a higher dimensional metric space using the low distortion projection FJLT. Finally, the dimensionality reduction process adopts PCA strategy to retain the maximum amount of information, and constructs its search index structure. Experiments are conducted on three larger scale benchmark data sets, and the results are as follows. Compared with the current mainstream search algorithms, the proposed method exhibits more efficient performance and can be effectively applied to WMSN applications.
Indonesian Teachers’ Attitudes towards Gifted Students with Low SES from Malay Background

Defined as a child who has superior capabilities, especially in the area of intelligence, many gifted children in Indonesia are ignored, especially those who have poverty issues in a rural area like Malay. This is disappointing as some theorists believe that Malay people are the indigenous people of Indonesia. The failure to recognize giftedness is believed due to the teachers’ attitude towards gifted students with low SES (social-economic status). This study is a comprehensive and systemic literature review that analyses and synthesizes comprehensive works of literature from various journals obtained from Proquest central and Sage, books published in Indonesian and globally, government documentation, trusted websites, combined with the prescribed textbooks for studying giftedness at Flinders University. This study focuses on the Malay teachers’ attitudes towards gifted students with low SES. The main finding of the study confirms that most Malay teachers deny the existence of gifted children, especially with low SES although some of them still try to identify these kinds of students based on teacher observation and the students’ achievements.
IMPACT OF PUBLIC EDUCATION EXPENDITURE ON HUMAN CAPITAL DEVELOPMENT IN NIGERIA (1970-2015)

The study empirically examines the impact of public education expenditure on Human Capital Development in Nigeria within a time frame of 46 years .Time-series data sourced from Central Bank of Nigeria and World Development Indices were used and analyzed using Auto Regressive Distributed Lag Model (ARDL) Approach.The results from the Unit Root tests indicate mixture of integration among the variables.ARDL co-integration Bound test suggests the presence of long-run relationship among all the variables.The results estimate on ARDL long-run estimate reveal that Enrolment (ENROL) Proxy for Human Capital Development is positively related to Government Capital Expenditure on Education (GCEE) in which a 1% change in GCEE leads to 0.02% change in Enrolment.While ENROL is negatively related to Government Recurrent Expenditure on Education (GREE) that is, 1% change in GREE will lead to 0.07% change in ENROL.The study also reveals a unidirectional causal relationship between GCEE and ENROL, and bidirectional relationship between Government recurrent expenditure on ICT (GREICT) and ENROL.The study recommends that careful scrutiny of public expenditures should be undertaken by making Education for all a priority through increased spending since adequate funding is necessary for operations and maintenance of education infrastructures.