Reviewerly/exHarmony huggingface dataset:
MENINGKATKAN KETERAMPILAN MENULIS SISWA DENGAN MENGGUNAKAN MODEL PROJECT BASED LEARNING DI KELAS XII IPA 1 SMA N 7 PADANG

The aims of class action research is to solve the problem in limitations of student writing through the Project Based Learning model. The study was conducted in three cycles with six meetings. The research participatns were students of class XII Science 1 of SMA N 7 Padang in the odd semester of the 2019/2020 school year. Analysis of each cycle was based on test results to see cognitive abilities and non-test results observe activities and attitudes. Data were analyzed by using comparative descriptive techniques. The research findings showed an increase, both test results and non-test results. The percentage of completeness of the results onf the first cycle 50%, second cycle 71.9%, and third cycle 87.5%. Meanwhile, the non-test results revealed an increase in each cycles. Thus, it can be concluded that the use of Project Based Learning models is effective in improving students' writing skills.Keywords: writing skills, project based learning
RETRACTED: On the Application of Computer Software in the Technical Statistics of Basketball Match

Abstract Many people like to watch basketball games. Basketball games can make people blood boil. In the process of judging basketball players, the statistical method of basketball technique is an effective way to evaluate players’ tactical and technical ability. Through this kind of statistical technology, we can count a player’s various game skills and the rules he violates. These include shooting, rebounding, mistakes, fouls and playing time. If the technical statistics of basketball match is carried out manually, it is not ideal. After a long-term research, the technical staff of the Basketball Association put forward the method of basketball technical statistics of computer software. This paper analyzes and discusses the application of basketball technology statistics based on computer technology, and finally comes to a conclusion.
Scientific and methodic support of effective teaching and upbringing by means of choreography in preschool education institutions

We consider a special area of didactics – teaching preschool children by means of choreographic art. We scientifically substantiate methodic support that effectively affects the development of preschool children by means of choreography, identifying, among other ways, the development of physiological and psychological qualities of this age category. We also define the principles and methods of teaching and upbringing by means of choreography in preschool education institutions. Interest in the study is also caused by the developed educational program “Basis of choreography” for preschool children, which provides for the construction of the teaching and education process in a spiral with improvement at each stage to a qualitatively new level of mastering the basics of rhythmics, the ABC of classical, folk, modern and ballroom dancing.
Research and Application on Microservices Architecture in Civil Affairs Informatization

Abstract With the development of information technology, microservices have been applied to more and more industries. Firstly, we introduce microservices and microservices architecture, analyse the main problem of civil affairs informatization, and explain the composition of microservices architecture. Secondly, we give the key technology of microservices which include abstract methods of microservices, microservices process management and the schedule of microservices workflow. Finally, we talk about the situation of civil affairs applications for using microservices architecture and give the conclusion.
Using Emoji as Image Resources in Educational Programming Tools

In this paper, we describe techniques and considerations for using emoji effectively in educational programming tools. Introducing emoji gives users access to more than 3,000 different image assets for game and other application development. Since the font files installed in the user’s computer vary by its operating software and device vendor, it is preferable that programming tools bundle common emoji font files for users. Emojis have a variety of gender and skin color patterns, which reduces the artist’s effort to bring diversity to the illustrations of the people. Some emojis contain violent or vulgar expressions. Tool providers can filter some emojis to prevent children from accessing inappropriate emojis in schools, or they can adjust visuals to mitigate aggressiveness. Advanced visuals and applications can be obtained by extracting contour and geometry information or adding shadows. In order to help users quickly find the emoji they are looking for from many emojis, a utility system should be implemented that classifies emojis by category, searches for emojis by word, and suggests random emojis.
REAL-TIME SCENE FLOW ESTIMATION AND OBSTACLE AVOIDANCE UNDER DIM-LIGHTCONDITION USING TIME OF FLIGHT (TOF) SENSOR

The paper introduces the novel method for the estimation of dense scene flow using RGBDcamera`s range data. These calculated flow vectors are used to discover the obstacles, so that the mobile robot`sintelligence for the path planning module can be improved. These mobile robots need to be clever enough todiscover their workspace and correctly keep away from obstacles. In a cluttered area, to avoid obstacles, the AVrequires complete awareness of the surrounding. Hence, the speed and direction of dynamic obstacle are detectedby comparing successive range frames which are obtained from single vision sensor. The current research dealsin regard with the extraction of the 3D flow vectors from the differential scene flow technique. The GradientVector Field (GVF) technique is used with scene drift to decide changes inside the pixels in order to recognise allobstacles in three directions. Our goal is to develop a real-time scene-flow based obstacle avoidance technique thatrelies on a single sensor perception system. Experimental result is shown to demonstrate the efficacy of thetechnique under dim night-time lighting condition using 3D sensor.
PENGARUH MODEL PEMBELAJARAN QUESTIONING TERHADAP MOTIVASI BELAJAR SISWA

Questioning learning model is a method of learning that is done by submitting questions that lead students to understand the subject matter in order to achieve learning goals. The purpose of this study was to determine the effect of the Questioning learning model on student learning motivation in Class VIII Social Sciences 2 Madapangga Integrated Social Studies subjects in Bima District 2018/2019 academic year. The population in this study was the eighth grade students of SMPN 2 Madapangga, Bima, which amounted to 207 students. The sample used in this study was 24 students. Data collection methods used in the form of questionnaires and documentation. To analyze data using Chi-Square, based on chi count data analysis of 0.61 with a chi table value of 15.507 at a significance level of 5%. Thus the chi count value is smaller than the chi table value (0.61 <15.507), so it can be concluded that there is the influence of the questioning learning model on students' learning motivation in integrated social studies class VIII at Madapangga 2 Junior High School Bima District 2018/2019 , and the results of this study were declared significant.
Inquisitive Intuitionistic Logic

Author(s): Holliday, Wesley Halcrow | Abstract: Inquisitive logic is a research program seeking to expand the purview of logic beyond declarative sentences to include the logic of questions. To this end, inquisitive propositional logic extends classical propositional logic for declarative sentences with principles governing a new binary connective of inquisitive disjunction, which allows the formation of questions. Recently inquisitive logicians have considered what happens if the logic of declarative sentences is assumed to be intuitionistic rather than classical. In short, what should inquisitive logic be on an intuitionistic base? In this paper, we provide an answer to this question from the perspective of nuclear semantics, an approach to classical and intuitionistic semantics pursued in our previous work. In particular, we show how Beth semantics for intuitionistic logic naturally extends to a semantics for inquisitive intuitionistic logic. In addition, we show how an explicit view of inquisitive intuitionistic logic comes via a translation into propositional lax logic, whose completeness we prove with respect to Beth semantics.
СИНДРОМ ЕМОЦІЙНОГО ВИГОРЯННЯ КЕРІВНИКІВ КОМЕРЦІЙНИХ ОРГАНІЗАЦІЙ

the article discusses various approaches to the study of the phenomenon of emotional burnout, in particular the heads of commercial organizations, describes the main symptoms of its manifestation. Here are presented and analyzed the results of a study to identify the phases and symptoms of emotional burnout of managers, their degree of formation.
Reversible Data Hiding in Encrypted Image Based on Flipping MSB Encryption Process

A novel reversible data hiding method based on vacating room for specific encryption process in encrypted image is proposed by Huang and Wang in 2020. In their method, they applied pixel value expansion approach to vacate a specific room for data concealing. However, we find out that the Huang and Wang's method will have a shortcoming of non-reversible encryption while the specific room is larger than 193. This paper proposes an improved method for overcoming the shortcoming of nonreversible encryption developed by Huang and Wang. In our embedding process, the prediction error (PE) is firstly computed, and then, the prediction error strategy is taken into consideration for secret data embedding. The prediction error strategy is applied to determine that the original pixel or flipping one MSB original pixel is suitable for performing message hiding. The experimental results show that the proposed method has superior performance in terms of embedding capacity and compression ratio than that of the other state-of-the-art methods.
Size matters: Cardinality-constrained clustering and outlier detection via conic optimization

Plain vanilla K-means clustering is prone to produce unbalanced clusters and suffers from outlier sensitivity. To mitigate both shortcomings, we formulate a joint outlier-detection and clustering problem, which assigns a prescribed number of datapoints to an auxiliary outlier cluster and performs cardinality-constrained K-means clustering on the residual dataset. We cast this problem as a mixed-integer linear program (MILP) that admits tractable semidefinite and linear programming relaxations. We propose deterministic rounding schemes that transform the relaxed solutions to high quality solutions for the MILP. We prove that these solutions are optimal in the MILP if a cluster separation condition holds. To our best knowledge, we propose the first tractable solution scheme for the joint outlier-detection and clustering problem with optimality guarantees.
Proposal of a Career Selection Support System for High School Students by Visualizing Occupations

Recently, high schools have been required to promote career education. Many high schools have been conducting workplace experiences and vocational lectures to raise high school students’ career awareness. However, it is difficult for high school students to find the path they really want by receiving these career education attempts. In this study, we propose a support system for high school students who refrain from choosing a career path, by suggesting occupations related to the interests of high school students. Our proposed system visualizes the relationships between occupations from the viewpoint of high school students by using the connections between occupations and shows their information in an easy-to-understand manner.
PEMBELAJARAN MENULIS TEKS EKSPOSISI BERBASIS E-LEARNING DALAM MENINGKATKAN PRESTASI BELAJAR

The classroom action research conducted at class X IPB1 in SMA Negeri 1 Susut aimed to (1) To describe the steps in implementing e-Learning based learning in writing the exposition text of class X IPB1 at SMA Negeri 1 Susut. (2) Describe student achievements after implementing e-Learning in exposition text of class X IPB1 in SMA Negeri 1 Susut, and (3) Describe student responses after applying e-learning in writing text exposition of class X IPB1 in SMA Negeri 1 Susut. This research was conducted in two cycles in which consisted of five stages, namely: planning, implementing, observing, evaluating, and reflecting. Data were collected by observation method, interview method, test method, questionnaire method and analyzed descriptively quantitative and qualitative. The results showed the average value of the first cycle was 72.6 or an increase of 17.05% from the previous value (pre-cycle) 37. The value of the second cycle was 81.1 or an increase of 43.4%. The acquisition of the average response of students in the first cycle of 33.7% in the very positive category and increased in the second cycle of student responses to 33.96 in the very positive category. The conclusions in this study were (1) learning steps based on e-Learning based on basic competency standards and according to procedures that have been designed. (2) e-Learning can improve student achievement in writing exposition texts. (3) students' responses to e-Learning are very positive. The suggestion of this research is that teachers should use e-learning to improve student achievement.
Technology of the Special Course for Forming Methodical Competence of Future Physics Teachers

One of the most important tasks that the school is called to solve is to ensure that students learn the basic knowledge of science. The main components of the system of scientific knowledge: scientific facts, scientific concepts, theories, laws, research methods, applied issues. The main core of this system is scientific concepts. Without assimilation of concepts, there can be no conscious assimilation of the laws and theories of physics. All this leads to the conclusion about the importance of the problem of the formation of scientific concepts in school students and the formation of the competence of future teachers in this type of activity. To consciously control the process of the formation of concepts, it is necessary to know the main features, patterns. The article presents the experience of conducting a special course to prepare students for the formation of physical concepts in schoolchildren.
Application of Methodical Problems in Forming Professional-Technological Competence of Future Physics Teachers

The article discusses the role and importance of methodological tasks in the preparation of future physics teachers. In order to form professional and technological competencies in students, a system has been developed for the compilation and application of methodological tasks in the educational process, which consists of the following components: didactic goals, the didactic basis for compiling methodological problems, solution conditions, decision logic, stages of solving methodological problems.
PENGARUH MOTIVASI INTRINSIK DAN EKSTRINSIK TERHADAP HASIL BELAJAR PESERTA DIKLAT PENGUATAN KEPALA SEKOLAH NEGERI DI PROVINSI DKI JAKARTA TAHUN 2019

A learning process will work well in someone if there are willingness to learn, desires, and strong encouragement called motivation. Motivation is a mental impulse that moves and directs the person's attitude and behavior in learning. This research was aimed to determine the effects of intrinsic and extrinsic motivation on the learning outcomes of participants in a training named Diklat Penguatan Kepala Sekolah Negeri di Provinsi DKI Jakarta Tahun 2019. The results of the research indicated some points: 1) intrinsic motivation partially had a significant effect on the learning outcomes of training participants with an F count = 95.452 and a significance (p) of 0.000 (p <0.05) and a contribution of 36.1%;  2) partially, extrinsic motivation has significantly influences the learning outcomes of training participants with F count = 41.992 and significance (p) <0.05 and contribution of 19.91%;  3) intrinsic motivation and extrinsic motivation together have a significant effect on the learning outcomes of training participants, with F arithmetic = 52.587 and significance (p) <0.05 and contribution of 38.5%. Suggestions for BPSDM DKI Jakarta in order to follow up the research's results to increase the intrinsic and extrinsic motivation of training participants are increasing the number of training related to the substance of competence, developing training models and improve training facilities; accentuating the use of varied, innovative, creative and interesting  methods and learning medias. Keywords: intrinsic motivation, extrinsic, learning outcomes
A Collaborative Filtering Based Ranking Algorithm for Classifying and Ranking NEWS TOPICS Using Factors of Social Media

Searching topic and tracking the headlines on Topic Detection and Tracking (TDT) makes the users more convenient to see what is happening in the real-world through internet. Due to the large quantity of news articles, it is not possible to see all the topics. It makes the necessity of topic ranking in terms of time and importance. Topic ranking is based on frequency of occurrence of the topic in media and the amount of attention paid by the users. Both these factors are time dependent. So it is necessary to include the effect of time. However, inconsistency always exists between these two factors. In this paper, an automatic online news topic ranking algorithm has been proposed. The analysis between Media Focus (MF) and User Attention (UA) has been carried out in the proposed algorithm in terms of inconsistency. Here, UI defines the strength of the community who discusses the topic. Overlapping Topic Clusters (TCs) is found by Hybrid Fuzzy Clustering (HFC) approach. Artificial Bee Colony Optimization (ABCO) is performed to calculate the node weight. It is necessary to personalize the SociRank to present different topics for different users. Collaborative Filtering based Ranking Algorithm (CFRA) is adopted for ranking. The proposed CFRA based SociRank improves the quality and variety of automatically identified news topics. The same has been proven by experimental results.
Machine Learning Approaches to Data Reduction from the MapX X-ray Fluorescence Instrument for Detection of Biosignatures and Habitable Planetary Environments

The search for evidence of life or its processes involves the detection of biosignatures suggestive of extinct or extant life, or the determination that an environment either has or once had the potential to harbor life. In situ elemental imaging is useful in either case, since features on the mm to μm scale reveal geological processes which may indicate past or present habitability. The Mapping X-ray Fluorescence Spectrometer (MapX) is an in-situ instrument designed to identify these features on planetary surfaces. Here we present progress on instrument development, data analysis methods, and element quantification.
Exposure Compensation from a Single Image

We propose a method to convert underexposed/overexposed images to appropriately exposed image from a single image. Digital cameras have a limited dynamic range which is smaller than one in the real world, so that it often takes overexposed/underexposed images. The HDR method synthesizes images with different exposures into an image to improve visibility of a narrow dynamic range image. However, HDR has several limitations to get good images. One of them is difficult to take the appropriate multiple exposed images. Because When taking the multiple exposed images, the camera and object must not move to avoid the ghost effect. The proposed method can improve the narrow dynamic range with a single image. In addition, it can avoid to generate ghost effect in the output image. Our method generates three of the pseudo multiple exposed images from a single image. In the process of generating pseudo high exposed and low exposed image, our method uses gamma correction to adjust luminance of input image. Moreover, gamma correction can enhance the difference between each color channel in the dark or bright area of the input image. Because of gamma correction, the contrast of the input image is properly improved. We utilize the Contrast Limited Adaptive Histogram Equalization (CLAHE) to make the pseudo middle exposed image. Three types of pseudo exposed images generated will be synthesized into an output image which is high quality image as same as HDR image.
HAAPIE 2020: 5th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments

Nowadays, the profound digital transformation has upgraded the role of the computational system into an intelligent multidimensional communication medium that creates new opportunities, competencies, models and processes. The need for human-centered adaptation and personalization is even more recognizable since it can offer hybrid solutions that could adequately support the rising multi-purpose goals, needs, requirements, activities and interactions of users. HAAPIE workshop embraces the essence of the "human-machine co-existence" and brings together researchers and practitioners from different disciplines to present and discuss a wide spectrum of related challenges, approaches and solutions. In this respect, the fifth edition of HAAPIE includes 5 long papers.
Analisis Kepuasan Pengguna Sistem Informasi Akademik dalam Perspektif Manajemen di Politeknik Negeri Sriwijaya

User ’s Satisfaction is one of the keys to the success of an Information System. This study aims to analyze the satisfaction of Academic Information System Users in the State Polytechnic of Sriwijaya based on organizational culture variables and the quality of the information system to the satisfaction of information system users and their implications for employee performance. Data analysis involv es 71 participants who c o me from education personnel with variations in Gender, Age, Latest Education and Years of Service. Data analysis use s CFA of Exogenous and Endogenous Constructions and SEM Partial Least Square (PLS). The final results obtaine conclusion that Organizational Culture Variables have a positive and it do not have significant effect on the s atisfaction towards the u se of Information Systems while the Quality of Information Systems variable has a positive and significant effect on the Satisfaction towards the Use of Information Systems of State Polytechnic of Sriwijaya Palembang. Keywords – CIO, User Satisfaction, Information System Management
Learning Effectiveness and Efficiency in Tertiary Mathematics Education under Core-and-Spoke Model

In Malaysia, traditional teaching approach is still the most common approach used in the tertiary mathematics education.Under the traditional teaching approach, students learn mathematics through rote-learning and being "spoon-fed".Traditional teaching approach may lead to students have loss of interest in learning mathematics and consequently, students seriously do not reach in-depth understanding of mathematics.This shows that students do not learn mathematics effectively and efficiently.The motivation of this research is to find out student's learning effectiveness and efficiency in learning the tertiary mathematics course under a designed blended learning approach that incorporates the core-and-spoke model.A preliminary statistical analysis is conducted at early stage to give a better understanding on the collected data.The analysis of student's learning effectiveness is carried out based on the student's learning outcome achievement and learning satisfaction.Technical efficiency in data envelopment analysis (DEA) is employed to evaluate the student's learning efficiency.The results show that the students not only have more interest in learning the tertiary mathematics, but also they are able to learn in a more effective and efficient way under the designed blended learning approach.