Reviewerly/exHarmony huggingface dataset:
Algebraic Bayesian networks: Checking backbone connectivity

The paper investigates the construction of a joint graph as a global structure of network based on its primary structure, one of the problems arising in machine learning of bases of knowledge patterns with uncertainty, presented in the form of algebraic Bayesian networks. The aim of the research is to propose methods for solving the inverse problem. As the results, algorithms for checking a graph for belonging to a family of joint graphs and a family of minimal joint graphs are proposed, and estimates of their computational complexity are made. An improved version for the special case and an improvement for the general case on average are also proposed for the algorithm for checking membership in a family of joint graphs. The problem of recognition of joint graphs has not been previously researched; issue is being addressed for the first time as currently drafted. The theoretical significance lies in the possibilities for applying the results in further researches of graph-theoretic invariants in the global structures of algebraic Bayesian networks.
RESTRICTIONS ON COPYRIGHT IN UKRAINE AND THE UNITED STATES: A COMPARATIVE LEGAL ASPECT

The article compares the American copyright system (from its inception, borrowing the basics of the English system to the establishment of the principle of "fair use") and the Ukrainian system, which provides a specific list of cases allowed as a restriction of copyright (enumerated system) by establishing in national legal acts of the three-stage test provided by the Berne Convention. The article examines not only the legislation of Ukraine and the United States in this area, such as: the Federal Copyright Act of 1790, the second Federal Copyright Act of 1909, the Copyright Act of 1976, the Civil Code of Ukraine, the Law of Ukraine "On Copyright law and related rights" but also the case law of the United States, which is a key element in regulating disputes in the area under discussion. The author analyzes a number of cases through the prism of changing approaches in the US system of property rights restrictions, namely Philpot v. Media Research Center Inc. No. 1: 17-cv-822 dated January 8, 2018; Peteski Productions, Inc. v. Leah Rothman No. 5: 17-CV-00122 dated August 30, 2017; Rosen v. eBay, Inc., No. 2: 13-cv-06801-MWF-E of 16 January 2015 and Corbello v. DeVito No. 2: 08-cv-00867-RCJ-PAL June 14, 2017. As a result of the research, the author determines that the national legislation establishes an exhaustive list of works that are its objects, at the same time, the ways of using the work depend on the type of particular work. Therefore, an exhaustive list of all possible ways to use the works is not provided. U.S. law provides for an exhaustive list of copyrighted works and an exhaustive list of ways to use such works. And the doctrine of "fair use" in the United States provides that in determining whether the use of work in any particular case is fair, there are at least 4 factors to consider. Keywords: the principle of "enumerated system", the system of "numerus clausus", the concept of "exceptions and limitations", US copyright law, the doctrine of fair use, the Agreement on guidelines for copying in non-profit educational institutions, free use of works, three-stage test.
Self Attendance using OTP in Android

A Attendance is very important for every organizations, Attendance taking has evolved with better solutions from the time it was invented, from paper based to Computer based System using so many new technologies that can make it better faster and accurate. In our proposed system we make use of Self attendance using OTP. In this system there are 3 Main users; Admin responsible to add class, subjects, teachers and students; second teacher who will take the attendance and the third Student who can mark him/her as present and see their previous attendance records. The process goes like this, the teacher select the class for attendance a OTP is generated which will last for 60 seconds, the OTP need to be entered in the Student’s app and mark him/her as present, once the OTP is expired the teacher can make the necessary changes in the attendance sheet and submit the attendance.
THE USE OF CHART GAME IN TEACHING VOCABULARY TO THE FIFTH GRADERS OF ONE STATE PRIMARY SCHOOL IN BANYUASIN

This study was intended to find out whether or not there was any significant difference between the students who were taught by using chart game and those who were not. The population of this research was the fifth graders of One State Primary School Banyuasin academic year 2018/2019 with the total number of 58 students. For the sample, the writer took two classes by using purposive sampling based on the same amount of students: V A (29 students) and V B (29 students). The method used in this study was quantitative with quasi experimental method design. Then, the data were collected from vocabulary test. Researcher did 10 meetings along the research, 1 meeting for pre-test, 8 meetings for treatment, and the rest 1 meeting for post test. Post test result showed that mean of experimental group was 79.10 and mean of control group was 68.14. After being calculated by using independent sample t-test, it was found that value of t-obtained 5.564. It was higher than the critical value of t-table 2.003. Meanwhile, the values of significant (2-tailed) was .000. It indicated that the null hypothesis was rejected and the alternative hypothesis was accepted. In other words, there was significant difference between the fifth graders who were taught by using chart game and those who were not.
Supervision and Evolution: Pretraining Neural Networks for Quadrupedal Locomotion

Neural networks (NNs) are effective controllers for evolutionary robotics, imposing few limits on potential gaits. Morphology evolved with a controller enables brain and body to become tightly coupled. Typically, NN parameters (sometimes architectures) and animat bodies are randomly initialized at the start of evolution. In this paper, we pretrain NNs with supervised learning, bootstrapping NN outputs towards oscillating behaviors prior to evolution. We focus on quadrupedal gaits as they are well-studied in biology and several common gait patterns have been identified, named, and studied by the research community. We hypothesize that performance of evolved gaits will improve with pretraining compared to beginning evolution with randomly initialized NNs. Our results show that only some pretraining regimens outperform (in terms of distance traveled and viability) random initialization of NN parameters. Furthermore, some regimens introduce an initial bias that is difficult to overcome, resulting in better initial performance but worse performance in the long term.
An Analysis of Students’ Difficulties in Writing Descriptive Text at Tenth Grade of Smk Negeri 4 Kota Jambi

The purpose of this research is to analize students’ difficulties in writing descriptive text. The problem of this research is students’ difficulties in generic structure, language feature, lack of vocabulary and arranging sentences in writing descriptive text. The objective of this research is to identify the students’ difficulties in writing descriptive text. The research conducted at SMK Negeri 4 Jambi in academic years 2019/2020. The population of this research is tenth grade student of fashion class IV. The sample is all of the fashion class IV at the tenth grade which the total number of students are 33 female students. The type of the research is qualitative descriptive. The data were obtained by using online questionnaire by using google forms. Overall, the result of this research is 60% students have difficulties on language feature. While, 30% students have difficulties in generic structure which is as same as the students are who have limited vocabulary in writing descriptive text. Moreover, the biggest percentages which are majority of students have difficulties on arranging sentences to be paragraph.Keywords: An Analysis of Students’ Difficulties of Writing Descriptive Text.
Sistem Informasi Pengelolaan Freelancer pada Playcubic Berbasis WEB

Playcubic is a start-up business enganged in mass media industry. The system that Playcubiccurrently use is still using traditional system. The system used to have the risk of losing data and fakeddata. This study aims to help business including process of uploading article, invitation sharing andpayroll sytem for freelancer. The system under development method is using prototype developmentmethod. The results of this study are an information system that can be used by Playcubic that havebeen tested with black box testing.
Penerapan Model Pembelajaran Kooperatif Tipe STAD Untuk Meningkatkan Keaktifan Dan Hasil Belajar IPS Pada Siswa Kelas VB SDN 1 Kaliwuluh Semester I Tahun Pelajaran 2020/2021

&lt;p&gt;&lt;em&gt;This study aims to increase activity and low social studies learning outcomes. The implementation of this Classroom Action Research was carried out in two cycles, with each cycle consisting of planning, implementing actions, observing, and reflecting. The subjects of this study were students of class VB SDN 01 Kaliwuluh which opened 21 students with the object of research on student activities and learning outcomes. From the results of data analysis it is known that in each cycle there is an increase in student activity and learning outcomes. In the condition, the percentage of student learning activities is only 22.66%, while the learning outcomes are 63.64% below the KKM. In the first cycle, learning activities increased to 62.99% and learning outcomes reached 68.18%. In the second cycle, student activity increased to 77.89% and learning outcomes reached 86.36%. Based on Classroom Action Research, it can be said that the application of the STAD type cooperative learning model can increase the activeness and learning outcomes of social studies students in class V B SDN 01 Kaliwuluh in semester 1 of the 2020/2021 academic year.&lt;/em&gt;&lt;/p&gt;
Decision Support System of Employee Performance Evaluation

Employee Performance Evaluation at CV Artha Mandiri Pringsewu is still done manually, without a computerized system, so that it faces obstacles to obtain actual and accurate information. In order to be successful in business today, CV. Artha Mandiri needs information system that can support decision making and various information. Problems that often occur in the process of employee performance appraisal include the decision-making subjectivity, especially if several existing employees have abilities that are not much different. The use of decision support systems is a solution to reduce subjectivity in decision making designed with Visual Basic 6.0 programming, The calculations were performed on all criteria for all employees, so it is expected that employees with the best abilities are selected. Decision support system is supported by a descriptive method in the development of system software with Waterfall model. The calculation process is carried out to determine employee recommendations in the Promotion System based on 3 aspects namely Intellectual Capacity, Work Attitude and Behavior. The result of this process is employee ranking. This ranking is the basis for decision makers to choose employees who are suitable in the vacant positions that are expected to help evaluating the performance of employees at CV Artha Mandiri.
THE EFFECT OF USING BLOG TOWARD STUDENTS’ MOTIVATION TO WRITE ANALYTICAL EXPOSITION TEXT

This study was done due to the lack of motivation of students in SMKN Baso to write. One of the media used to increase students’ motivation is blogging. The design of this research was experimental research. The data was obtained through a questionnaire. The populations of this research were the second-grade students at SMKN 1Baso academic years 2019/2020 consisting of 174 students. To determine the sample, the researcher used purposive sampling by choosing two classes, they were XI Perkantoran 1 and XI Perkantoran 2. XI Perkantoran 1 was treated as a control class that applies with conventional media in writing while XI Perkantoran 2 was treated as an experimental class that applies blog in writing. To analyze the data collected, the researcher used the t-test formula to test the hypothesis and consult the result into t-table with level significance α = 0,05. Based on the result of the research, the mean score of the questionnaire after giving the treatment of the experimental class was 72,28 was higher than the mean score of the control class was 65,85. Then it was analyzed by using t-test and the result of t-obtained was 4,47 with the degree of freedom 39 and the level significance α = 0,05. Through comparing the t-obtained (4,47) to t-table (2,042) on the same degree of freedom and level significance, it was found that the value of t-obtained was higher than the value of t-table. Thus the hypothesis (Ha) is accepted which stated using a blog gives a better effect on students’ motivation to write analytical exposition text.
Modern Code Reviews: Preliminary Results of an Analysis of the State of the Art with Respect to the Role Played by Human Factors

Modern Code Reviewing has shown to be an effective mechanism to identify bugs in the code; however, given their intrinsic subjectivity, they can be significantly affected by human factors such as interpersonal relationships.This paper focuses on exploring such issues, with specific attention to social iterations and personal factors.Future work includes experimental evaluations to verify the research hypothesis related to improving the quality of the process under the study.
Effective Movie Recommendation Using User Frequency Based Collaborative Filtering Algorithm

Although a variety of collaborative recommendation methods have become available, they are still facing the challenges of increasing their accuracy and validity. This study uses the inverse user frequency to improve the impact of user frequency on item cosine similarity. It is novel collaborative filtering based on the cosine similarity. The improved cosine similarity is used to calculate the similarity between items. Finally, the corresponding target user recommendation results are generated. The experiments show that our proposed technique significantly outperforms the others collaborative filtering techniques, which is helpful to improve the recommendation performance.
Effectiveness of Problem Based Learning to Improve The Results of Learning Indonesian Language

&lt;p&gt;&lt;em&gt;The focus of&lt;/em&gt;&lt;em&gt; this Class Action Research is the application of Problem Based Learning on The Results of Learning Bahasa Indonesia Grade 5 SDN Karanganyar 01 Tugu Subdistrict Semarang Year 2019/2020. From the above formulation of research objectives for (1) Describing the application of the use of PPT media in improving student learning achievement (2) Describing how to improve students' learning motivation, especially the content of Indonesian language lessons. The implementation of learning improvements carried out in three cycles of each cycle shows an improvement in learning outcomes. From the data obtained, it can be concluded that the use of Problem Based Learning on the results of learning Bahasa Indonesia grade 5 SDN Karanganyar 01 Tugu Subdistrict Semarang is very effectively used to improve student learning outcomes&lt;strong&gt;.&lt;/strong&gt;&lt;/em&gt;&lt;/p&gt;
VIRTUAL DEBATE IN EFL CLASSROOM: IMPACTS ON THE STUDENTS’ SPEAKING SKILL

The main objective of this study was to describe the implementation of virtual debate in teaching speaking and to identify students’ speaking skill improvement after being taught by using virtual debate. To achieve the objective of the study, a qualitative descriptive method was used. The data was gathered through debate speeches given by eight debaters from SMA Muhammadiyah 9 Kualuh Hulu. It includes the Opening Government team (Prime Minister and Deputy Prime Minister), the Opening Opposition team (Leader of the Opposition and Deputy Leader of the Opposition), Closing Government (Government Member and Government Whip), and Closing Opposition (Closing Government and Closing Whip) taken from the practicing debate for 4 meetings. The data in this study were the transcription of debate activities. The steps taken in this analysis were collecting data by transcribing debate speeches into text, identifying improvisation and fluency, and concluding the analysis. The results showed that the improvisation and fluency of the Prime Minister, Deputy Prime Minister, Leader of the Opposition, Deputy Leader of the Opposition, Government Member, Government Whip, Closing Government, and Closing Whip were in medium levels from the beginner level. In both improvisation and fluency levels, debate speeches showed considerable improvisation and fluency.
Multiobjective Obstacle Avoidance Motion Planning for a New Material Handling Robot

A new material handling robot applied in production line must have collision-free motion planning and good kinematics performance. A motion planning method that can satisfy obstacle avoidance and kinematic requirements simultaneously is proposed to solve the problem. This method is conducted during trajectory parameterization, collision detection, fitness building, and particle swarm optimization (PSO). First, a finite number of intermediate nodes are used to construct a piecewise polynomial function as the parameterized trajectory in the joint space. Next, the collision detection between the obstacles and the gripper is executed through bounding box simplification and intersection test of geometric objects. A fitness function combining collision and kinematics performance is then defined by using weighted coefficient and penalty function methods. Finally, the motion planning problem is solved with PSO algorithm. This method has better obstacle avoidance flexibility, smoothness, small impact, and minimal time consumption during the motion process, and its effectiveness is verified through virtual prototype simulation.
Real-Time Smart Face Security Estimation

The intricacies of Sighthound's absolutely computerized age, gender, and emotion identity set of rules are defined. Our machine is constructed on numerous deep convolutional neural networks, which aren't simplest computationally green however additionally produce modern effects on quite a few aggressive benchmarks. We accumulated significant labelled datasets from all around the international to construct our progressive deep networks. We describe a methodology and an algorithm to estimate the real-time age, emotion, and gender of a human by investigating face images on a webcam. Here we discuss the CNN-based architecture to design a real-time model. Security system Emotion, age, and gender detection of facial images in webcams play an important role in many applications like security control forensics, data analysis, video observation, and human-computer interaction.
DEVELOPMENT OF AUGMENTED REALITY MEDIA ON BEE METAMORPHOSIS (Apis Sp.)

Augmented Reality is actually not something foreign to the general public, it's just that they don't know what Augmented Reality itself means, Augmented Reality cards can generally be found in some snacks, which the cards can be scanned through a special application available on the Playstore. However, currently researchers are making Augmented Reality for learning, in this case researchers are using bee metamorphosis, so learning becomes more interesting. This study aims to describe the feasibility of Augmented Reality media for bee metamorphosis and to determine student responses to the attractiveness of Augmented Reality media for bee metamorphosis. The development model used is the ADDIE model which includes: Analysis, Design, Development, Implementation and Evaluation. Products are validated by one media expert and one material expert. The attractiveness test was carried out on 5 students of MTs Al-Ihsan Kalijaring Jombang. Data obtained from media experts, namely 80% with proper qualifications, criteria from material experts, namely 88% with very decent qualifications, while from the data students get a score of 88.75% with qualifications strongly attractiveness. The results of the assessment of media experts, material experts and student responses show that the bee metamorphosis Augmented Reality can be used as a learning media.
The Implementation of Storynory Audiobook in Teaching Reading Narrative Text

Background: Reading is one of the crucial components of language learning. However, to understand the whole text in an interesting method, the teacher should provide learning media for students to enjoy while in a serious situation when reading a text. The Audiobook is a tool to read stories or text accompanied by audio recording. Objective: To find out the implementation and response of students in reading narrative texts while listening to audiobooks in their learning activities Methods: Using a qualitative method, with research data collection using observation and interview methods Results: This shows that the application of Storynory audiobooks is easy to apply in the classroom, students can understand narrative texts when using audiobooks. Responses from students and teachers indicate that they enjoy and are satisfied with learning using audiobooks. Conclusion: The application of Storynory audiobooks in teaching narrative text reading shows good responses from students and teachers, they enjoy and easily understand the text, and Storynory audiobooks can help students with their pronunciation of words. did not know before, students enjoy the learning process by using audiobook media. They can repeat the pronunciations they hear in the audio, meaning that audiobooks can introduce and improve students' vocabulary or unfamiliar words in the text.
Towards a Crowdsourced Network Measurements Analyzer (CNMA) for the Streaming Service

This exploratory work introduces a new data analyzer system, called CNMA (Crowdsourced Network Measurements Analyzer). CNMA aims at addressing the root cause of the bad performance of typical internet applications such as video on demand streaming and web search considering the 3G/4G radio access network. In particular, we study the related physical radio access parameters to the timeout status of transport connections and application throughput using the "5Gmark" crowdsourcing full tests. Thus, we consider dataset of LTE technology collected via measurements from one of the major French mobile operators in Ile-de-France region. To perform the analysis, CNMA is composed of three different modules. The first one is the storage module for storing the Crowdsourced Network Measurements (CNMs) raw data of "5Gmark" tool. The second module is the batch unit. The last module consists on the visualization (dashboard) one for plotting and reporting the analysis results. The main expected outcome of CNMA is the impact of the bit rate combined with other parameters of the physical layer such as the Received Signal Strength and the Reference Signal Received Quality (RSRQ) on the application throughput and their correlation to the connection timeout phenomena.