Reviewerly/exHarmony huggingface dataset:
The Effectiveness of Talking Chips onTeaching Students Speaking Skill . (An Experimental Research at The Tenth Gradeof SMKN 3 Kota Serang).

Narsih Ayuningsih. 152301893. 2019. The Effectiveness of Talking Chips on Teaching Students Speaking Skill . (An Experimental Research at The Tenth Grade of SMKN 3 Kota Serang).This research designed to find out the effectiveness of talking chips onteaching students speaking skill. This research conducted based on the statement ofthe problem : 1) does talking chips technique able to improve the students in speakingability? 2) How is the effectiveness of talking chips technique to improve thestudents’ speaking ability?. And the objective of study are : 1) To investigate theeffectiveness of talking chips technique in improving students’ speaking ability. 2) Toidentify the students improvement in speaking English by using talking chipstechnique. The researcher collected the data from 66 students in two classes, one classas the experimental class and other one as the control class, the result of the researchshows that speaking skill using talking chips technique improved the students ability.It can be seen from the mean score of pre-test in experimental class (45.48), and themean of post-test in experimental class (74.36). hypothesis that of t-test of bothsample t-table with 5% significance level found (ttable 1.66 ) and with 1% significancelevel found (ttable 2,38). So the result is tt is 5% tt 1%. It is mean that to (tobservation) is higher than tt (t table). To know whether it is significance or not wehave to look at the t table in appendix. The result of tt on significant 5% = 1,66 and1% = 2,38. It indicates that to > tt or 3.21 > 1,66 and 3.21 > 2,38 so the nullhypothesis (Ho) are rejected and the alternative hypothesis (Ha) is accepted.Key words: Speaking , Talking Chips Technique
EU_MAVEN D3.3: Cooperative maneouvre and trajectory planning algorithms

This deliverable is the textual description of the cooperative manoeuvre and trajectory planningalgorithm which have been designed and implemented by DLR and HMETC for MAVEN.An overview of different modules of vehicle automation is given. The trajectory planning andtactical and strategical modules and their roles on cooperation are explained. Furthermore,cooperation with infrastructure in the form of AGLOSA and lane change and cooperation with otherautomated vehicle in the form of platooning is described. Functionality of the algorithms isapproved by simulation results, close field tests and urban tests in close relation to WP4, WP6 andWP7.
MEDIA PEMBELAJARAN E- LEARNING PADA MATA PELAJARAN BAHASA INGGRIS UNTUK SISWA KELAS VII SMP ADVENT MANOKWARI

The learning process is a teaching-learning process carried out by students and teachers in educational units. It takes a determination from various parties to achieve togetherness and the same vision in creating integrated integration in learning objectives. The Process of Teaching and Learning Activities (KBM) at Advent Manokwari Junior High School teachers only use printed books and do not utilize learning media, so the learning process becomes boring and makes students bored and learning is also less interesting. The purpose of this research is to design and develop E-Learning Learning Media in English Subjects for Class VII Students in order to facilitate teachers and students in learning and teaching activities at Manokwari Adventist Middle School. The design is done by making Learning Media that makes it easy for teacher teaching in the classroom. The design of this process includes Use Case Diagrams, Activity Diagrams, Sequance Diagrams and Class Diagrams that can explain the data flow and system characteristics that are processed to produce the desired information. The research results show the success rate of English Learning Media made is in accordance with the design made and also the learning media as a means of learning that is more interesting and interactive because it is more bring students closer to ICT for learning English. and can function as a means of gathering and discussion for students.
Organic global cryptocurrency: towards a stable international monetary system that is closer to Maqāṣid Sharīʿah

Purpose The most prominent and persistent problems of our global monetary system are instability and imbalances. We propose an international monetary model to solve these problems while at the same time move the model closer to Maqāṣid Sharīʿah (objectives of Sharīʿah). We name this an organic global monetary model or abbreviated as OGM. OGM is an international monetary model directly built on the national monetary system of each member country so that the two can co-exist. Design/methodology/approach Model design, theory and literature. Findings The model can eliminate interest rates at the central bank level, create non-tradable international money, and make a more stable international monetary system. Originality/value Original.
Pengujian Black Box pada Aplikasi Verifikasi Data Nasabah dengan Menggunakan Metode Boundary Value Analysis

Testing is one level that must be passed in order to produce results from a weighted sistem. If no testing is done on the sistem, the quality of the sistem cannot be known so that if an error occurs it can harm the sistem. By conducting experiments can find the location of defects in a sistem that can be known from the beginning that can be fixed immediately. Testing there are several types of sistem experiments, experiments used are Black Box testing using a limit value analysis method that is effective in trying the functions of a sistem. Testing techniques by making test cases based on limits on lower and upper values can provide good coverage and represent the actual input values. Based on the results of tests conducted with the analysis of boundary values, the application developed has been error free. This gives a guarantee that the application developed has met the requirements and is of high quality.
Non-perturbative effects in Bogolubov-van Hove approach to quantum master equation corrections

We study the perturbation expansion near the Bogolubov-van Hove limit, wherea small parameter is introduced both in the coupling constant and in the time.We show that such a perturbation theory is singular. In particular, we showthat the initial condition for the perturbative part of the density matrixdiffers from the one for the whole density matrix. For the spin-boson model inthe rotating wave approximation at zero temperature we show that theperturbative part of the density matrix satisfies the time-independentGorini-Kossakowski-Sudarshan-Lindblad equation for arbitrary order of theperturbation theory.
“Scrumbear” framework for solving traditional scrum model problems

Software engineering is a discipline that is little understood by people. It defines how software is developed and maintained to meet the clients’ requirements. Software engineers follow certain systems and standards in their work to meet the clients’ desires. It is on this background that engineers follow specific models in coming up with the final product. One of the models highly used is scrum, which is one of the agile methodologies. However, despite being highly used, it has inherent flaws that need to be corrected. Those flaws are product owner continues changing; do not accept changes in working scrum, sprint’s release time limitation, finally wasting team time within each sprint. This paper presents a new framework, which is an updated version of the current Scrum, to overcome the scum models mentioned issues. In this study, a new framework is presented in a way that is understandable and needed by software developer’s team upon the collected qualitative and quantitative data. The implementation was by making some changes to the current scrum model leading to the “Scrumbear”, certain flaws can be corrected. One of the presented changes involve adding the control master rule to ensure controlling the requirements changing.
Analysis of the architecture and functions of protected automated systems installed at internal affairs facilities

Aim . One of the key objectives of the theory and practice of information security is to analyse the functioning of protected automated systems, particularly those operated at computerized facilities of internal affairs bodies. In order to identify potential threats to resources of confidential information, to assess the risk of threat implementation, as well as to form a list of potential threats to automated systems installed at computerized facilities of internal affairs bodies, it is necessary to analyse the composition and architecture of automated systems, identify the features of their protected functioning and determine the vulnerability of software and hardware systems. Methods . A comprehensive analysis of the functioning of protected automated systems during their operation at computerized facilities of internal affairs bodies was conducted. Results . Following an analysis of normative documentation and research publications in the field of protecting information in automated systems, departmental records of the Ministry of Internal Affairs of the Russian Federation, regulations for the protection of information at computerized facilities of internal affairs bodies, the structure and architecture of a protected automated system were defined. Potential threats to the functioning of such a system, including cyber attacks, were identified. On the basis of a survey among experts in the field of information security, the vulnerability (in term of cyber attacks) of the software components of an automated system installed at computerized facilities of internal affairs bodies was analysed. Conclusion . The results can be used in the process of designing and operating information security tools and systems installed at computerized facilities of internal affairs bodies for the purpose of improving their security.
A system-structural approach to the formation of conceptual thinking of students at the level of secondary general education

One of the targets of the Federal state educational standard of General secondary education is the training of creative and critical thinking of high school graduates who know the basics of scientific methods of cognition of the world, motivated for creativity and innovation. The leading component of creativity is intelligence, allowing with high efficiency to solve mental tasks, including a limited amount of information. Therefore, the problem of intellectual development of students, which is directly related to the formation of their conceptual thinking, acquires a special significance in modern general education school. From the standpoint of system-structural approach the formation of conceptual thinking is at school age in the development of academic disciplines, built on the conceptual principle of the scientific method and ways of the actions inherent in the particular subject. Conceptual thinking in this approach is viewed as a systemic quality that has the properties of multidimensionality, multilevelity and dynamism, which includes personal and cognitive constructs. According to the principle of structure, conceptual thinking is a mental function, which is not only structured, but also included in structure of the personality. On the basis of theoretical and empirical data, the dialectical interrelation of the logical and psychological aspects of thinking is considered. It is shown that the growth of the reproductive (logical) component of thinking has a significant positive impact on the development of creative thinking of students. Also the author identifies verbal-logical method of learning as strategic component of the educational process that establishes the relationship between all components of the pedagogical system aimed at developing conceptual thinking of students. From the standpoint of the system-structural approach the peculiarities of development of conceptual thinking of students of 10–11 grades of secondary school are characterized: structuring of the content of education based on the principle of scientific presentation of information, orientation of cognitive activity of students in the direction of mastering the methods and laws of scientific knowledge, the formation of logical qualities of thinking through the verbal and logical method of teaching, in-depth subject and logical training of teaching staff.
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units

Deep learning models have achieved expert-level performance in healthcare with an exclusive focus on training accurate models. However, in many clinical environments such as intensive care unit (ICU), real-time model serving is equally if not more important than accuracy, because in ICU patient care is simultaneously more urgent and more expensive. Clinical decisions and their timeliness, therefore, directly affect both the patient outcome and the cost of care. To make timely decisions, we argue the underlying serving system must be latency-aware. To compound the challenge, health analytic applications often require a combination of models instead of a single model, to better specialize individual models for different targets, multi-modal data, different prediction windows, and potentially personalized predictions. To address these challenges, we propose HOLMES-an online model ensemble serving framework for healthcare applications. HOLMES dynamically identifies the best performing set of models to ensemble for highest accuracy, while also satisfying sub-second latency constraints on end-to-end prediction. We demonstrate that HOLMES is able to navigate the accuracy/latency tradeoff efficiently, compose the ensemble, and serve the model ensemble pipeline, scaling to simultaneously streaming data from 100 patients, each producing waveform data at 250~Hz. HOLMES outperforms the conventional offline batch-processed inference for the same clinical task in terms of accuracy and latency (by order of magnitude). HOLMES is tested on risk prediction task on pediatric cardio ICU data with above 95% prediction accuracy and sub-second latency on 64-bed simulation.
The Validity of Interactive Learning Multimedia on Protista and Fungi Materials for Senior High School

The difficulties faced by the students in studying protista and fungi materials based on the result of the interview were in understanding the life cycle, finding and observing the species objects.This type of research was a design and development by using the Plomp model.This study was aimed at finding an interactive learning multimedia on the protista and fungi materials that was valid.The multimedia validation results were in the very valid category.Thus, it can be concluded that the multimedia interactive learning on protista and fungi materials that has been developed is very valid.
Software Cost Estimation: Algorithmic and Non-Algorithmic Approaches

Software Development Organizations develop a huge number of projects on a yearly basis. One of the main issues is that which tool can be selected for an accurate estimation of the cost of software projects. Software cost estimation (SCE) is one of the main objectives of any project. SCE directly introduces almost all management events including resources allocation, project planning, and project bidding. In this study, some important SCE methods have been studied for comparative analysis and this has been concluded that none of the methods are essential inferior or superior to others, as there is no individual approach that is finest for every situation. The selection of the method is depending upon the nature of the project.
Cascade Graph Neural Networks for RGB-D Salient Object Detection

In this paper, we study the problem of salient object detection (SOD) for RGB-D images using both color and depth information.A major technical challenge in performing salient object detection fromRGB-D images is how to fully leverage the two complementary data sources. Current works either simply distill prior knowledge from the corresponding depth map for handling the RGB-image or blindly fuse color and geometric information to generate the coarse depth-aware representations, hindering the performance of RGB-D saliency detectors.In this work, we introduceCascade Graph Neural Networks(Cas-Gnn),a unified framework which is capable of comprehensively distilling and reasoning the mutual benefits between these two data sources through a set of cascade graphs, to learn powerful representations for RGB-D salient object detection. Cas-Gnn processes the two data sources individually and employs a novelCascade Graph Reasoning(CGR) module to learn powerful dense feature embeddings, from which the saliency map can be easily inferred. Contrast to the previous approaches, the explicitly modeling and reasoning of high-level relations between complementary data sources allows us to better overcome challenges such as occlusions and ambiguities. Extensive experiments demonstrate that Cas-Gnn achieves significantly better performance than all existing RGB-DSOD approaches on several widely-used benchmarks.
KOMUNIKASI PEMBELAJARAN MELALUI VIRTUAL LEARNING

The development of communication technology has affected in all aspects of life including education. Changes and adaptations should be done because the facilities of technology can make all human activities easier. The efforts have be done include improving the quality of education by implementing V-learning strategies in college. One of them is The Learning Strategy of Public Speaking Courses using classroom action method. The study performs phase 1 cycles and 2 cycles with identification, scaffolding, action, observation, and reflection. The final result of this research is the learning Model of Public Speaking courses with V-learning which can be accessed not only by students of Surabaya State University, but it can be followed by the students across study programs from other campuses. Based on 21 century skills that speaking skills need to be continuously developed to advance quality in all areas of work.
4차 산업혁명 시대의 무용예술교육 사례연구

Convergence is the trend of the 21st century. It is necessary to produce dance artists who can use excellent technniques, but more important task is fostering creative dance artists who can accomodate social changes and the stream of times. The art of dancing plays a creative role that controls and expresses one’s mind and body. It is an art that has the merits of merging with various genres. Therefore, this research will explain dance arts education in the fourth industrial revolution era, focusing on the case study. Firstly, the arts of dancing in the fourth industrial revolution era should continue to evolve and genre, techniques and various functional areas of each art should be crossed over to the other as genre deconsturction. And through that, new techniques should be created. Secondly, I could discover convergence creative program which stimulates creative thiniking and ideas through cross-over between arts field and humanities & social science field can work through interaction and collaboration of each major field such as literature, art, video, dance, composition and performance. Thirdly, constituting principles of Creative Arts Program are developed mainly based on convergence education program where science and arts intersect, maker training which stimulates creavtive imagination, New York IMPACT program which produces creative dances. Fourthly, Creative Arts Program has an educational value which makes collaborative training possible by which various genres can exchange with one another effectively through experiencing the art of each specialty area. And self-directed participation and autonomous spontaniety are devolped, which paly a role of power source in contributing to the development of individuals and communities.
INTEGRATIVES AS A FORM OF PERSONNEL TRAINING IN THE CONTEXT OF IMPLEMENTATION OF A NATIONAL PROJECT “LABOR PRODUCTIVITY AND EMPLOYMENT SUPPORT”

The issue of choice of the form of conducting classes within the framework of personnel training at industrial enterprises participating in the implementation of the national project “Labor productivity and employment support” has been studied. In the process of staff training, it is necessary to ensure an interdisciplinary approach to the formation of educational programs and take into account significant restrictions on the time and cost of training, which are provided within the framework of this national project. In such conditions, the most appropriate form of conducting classes with employees of enterprises participating in the national project becomes integratives, which are the union of several academic disciplines using action learning technologies. In the course of the study, a comprehensive model of personnel training using integratives was established, tested at the enterprises participating in the national project “Labor Productivity and Employment Support” in the Perm Territory and also the problems that arise during integrative classes and ways to solve them have been defined. The results of the study can be used to draw up programs and training plans for personnel of enterprises implementing the national project “Labor Productivity and Employment Support” in the regions of the Russian Federation.
Design of a Virtual Environment Applied to Social Phobias to reduce the Treatment time in Patients

People who suffer from social phobia, when they speak in public, have feelings of nervousness, anxiety and panic as well as experiencing it at different times in their daily lives such as at work, school, university, among others.In this work the methodology of the planning treatments was implemented.In this case study, programs were used for design and development such as Google Sketchup, Blender, and VrmlPad.The results of the virtual world design together with the methodology that was used helped to make comparisons of a different virtual world used to other needs.The development of the virtual world implemented in health clinics in Lima will help patients with social phobias of the non-generalized type, because employing the Virtual Reality treatment contributes to the improvement of the patient and in turn allows us to achieve results in a few periods of time.
SERVICES CANCER DETECTION SYSTEM USING K-NEAREST NEIGHBOURS(K-NN) METHOD AND NAÏVE BAYES CLASSIFIER

According to WHO (World Health Organization) data, every 2 minutes a woman dies. In Indonesia alone, 40 - 45 women are diagnosed with cervical cancer every day. Of those diagnosed, around 20-25 die from cervical cancer. About 95% more cervical cancer is caused by infection with the HPV virus or the human papilloma virus and an estimated death rate reaches 270,000 deaths each year. Cervical cancer occupies the third rank type of cancer in the world after breast and lung cancer, because the symptoms are not very visible at an early stage, so it is referred to as "Silent Killer". Based on the data and cases above, the latest technology that is able to detect cervical cancer in order to speed up the detection process for someone to be quickly treated is an artificial intelligence application that serves to detect whether someone should run 4 cervical cancer testing techniques, namely Hinselmann, Schiller, Citology, and biopsy with K-nearest neighbors algorithm and Naive Bayes classifier is one of the latest technologies that can facilitate the work of a doctor and speed up the process of detecting someone whether to run 4 testing techniques or not. The correct amount of data classified by the K-Nearest Neighbors method is 558 data from 858 data. The classification accuracy of the Naïve Bayes method is 84.7%. The correct amount of data classified by the Naïve Bayes method is 558 data from 858 data. The classification accuracy of the Naïve Bayes method is 84%.