Reviewerly/exHarmony huggingface dataset:
ANALISIS MOTIVASI BELAJAR SISWA MENGGUNAKAN VIDEO PMBELAJARAN SEBAGAI ALTERNATIF PEMBELAJARAN JARAK JAUH PADA MATERI SPLTV KELAS X

The research aims to find out how much student motivation to use video learning when doing distance learning due to the Covid 19 outbreak. This research was conducted at SMA Negeri 15 Semarang in class X MIPA 4. The population of this study were all class X students in SMA Negeri 15 Semarang. In taking the sample using simple random sampling technique. The sample used in this study were students of class X MIPA 4 at SMA Negeri 15 Semarang. The research method used in this research is quantitative research, namely descriptive analysis. Where in data collection used questionnaires and interviews. Based on the results of questionnaires and interviews conducted by researchers, using video lessons on SPLTV material as student learning media when COVID 19 shows 66.2% of students have high learning motivation in learning, and by using animated videos also data becomes an alternative for students to learn. and understand very well. Keywords: Learning Videos, Covid 19, Distance Learning, and Learning Motivation
Pedagogical Activity Formation in Russian Students Training

The article reviewed some aspects of research on pedagogical activity formation in Russian students' training. For this purpose, the Humanitarian School within the Philological Department of Biysk Pedagogical State University named after V. M. Shukshin, was organized. The identified educational effects showed the event potential of the Humanitarian School. Based on the empirical analysis, the definition of “educational event” was formed. Specific aspects of the pedagogical activity, on which educational event had to influence, were identified as subjectness, sense-value attitudes, the meaning of pedagogical activity, personal action, and self-reflection over pedagogical activity. Conditions for pedagogical activity formation in student training were specified: involvement in planning, initiation by the teacher of their actions, selection of participation position inactivity, and self-reflection over their pedagogical activity. The article proved the assumption that educational events improve the quality of student training for pedagogical activity.
The Cultivation of English Normal Students’ Teaching Ability: Problems and Countermeasures

Normal universities are confronted with the challenge of how to train English normal students’ teaching ability under the new situation. The purpose of this paper is to sum up the problems with the cultivation of English normal students and to put forward several suggestions to enhance their English teaching ability.
A STUDY ON STUDENTS’ UNDERSTANDING ON APPLYING DECLARATIVE SENTENCE

The purpose of the research was to find out students’ understanding in writing declarative sentence based on sentence structure. Type of this research was survey design. Based on the research result  students’ understanding on applying declarative sentence was categorized into Fair. It meant that some students had understood about declarative sentence based on their written and almost students found problem s : They got difficult in writing declarative sentence in position subject and verb in test form. Therefore, to solve the problem, the teacher should gave materials clearly and find out the strategies to make interesting learning and gave more exercises. Keywords: Understanding, Declarative Sentence, Sentence Structure.
The Effect of Direct Method in Teaching Speaking Skill

The main focus of this research is to determine the differences in students' speaking abilities before and after being taught using the direct method. In this research, the type is pre-experimental. While the design used is one group pretest-posttest design. Researchers used one class as a sample of 28 students. The researcher gives a pretest before being taught with the direct method to determine students 'speaking skills before being taught the direct method, and after being taught using the direct method students are given a posttest to find out the students' speaking abilities after being taught by the direct method. The technique used to collect data is a test. The test is used to collect the speaking skills data of eleventh-grade students of IPA 2 SMA Darussalam Blokagung. Techniques in analyzing data using the T formula are to find out the difference in the mean pretest and posttest scores of students with the help of SPSS version 23. Then the value is compared with the T-table by considering df. Based on data analysis, the researcher found a difference in students' speaking abilities before and after being taught by the direct method with consideration to greater than the table of either 5% or 1%. This means that Ha is accepted and Ho is rejected. So it can be concluded that there is a difference between students' speaking skills before and after being taught by the direct method.
An analysis of the connections between reading materials and culture, and the cultural contents in the 5th and 6th grade English textbooks

This study aims to explore the connections between reading materials and culture, and the cultural contents in the 5th and 6th grade English textbooks. For this, 150 pieces of reading material in 10 English textbooks were analyzed based on three aspects: 1) whether the reading materials are connected with culture, 2) if so, how strongly the reading materials are tied to culture, 3) what cultural contents (topics, types, backgrounds) are suggested in the reading materials. The content analysis of the reading materials found that 66% (99 out of 150) of the reading materials were tied to culture with different degrees (weak, medium, strong). Specifically, 47.4% of the 99 reading materials turned out to have a weak connection with culture, whereas 23.2% had a medium connection and 29.2% had a strong connection. In addition, in terms of cultural contents suggested in the reading materials, topics about the daily lives of people from diverse cultural backgrounds were commonly dealt with in 78.1% of the reading material. For cultural types, material culture accounted for 45.8% of the reading materials, followed by spiritual and behavioral culture. Lastly, for cultural backgrounds, English culture was presented the most, followed by non-English and Korean culture. Based on the findings, some pedagogical implications were discussed.
PKM menggiatkan literasi bahasa inggris dan sains di taman belajar masyarakat RUBIK (rumah belajar indonesia kreatif)

The Rubik Community Learning Park provides free tutoring for elementary school aged children who have dropped out of school due to economic problems. Some of the problems faced by TBM Rubik are the lack of library materials to support learning activities, besides that the literacy skills of students are still low. This community service aims to improve literacy in learning English and Science for the elementary school level,. This community service activity is carried out through outreach and workshops aimed at helping tutors and students at TBM to apply literacy in learning. The methods used include observation (observation), interviews, documentation, socialization, training, and Monev (Monitoring and Evaluation). The results of this community service activity were: (1) this community service activity was able to provide alternative solutions to overcome the difficulties of students in TBM in understanding the material presented; (2) increasing students' literacy skills in understanding English and Science learning; (3) the provision of facilities & infrastructure, in the form of a mini library, which contains English and Science books for Tutors and Students at TBM.
시설관리 및 운영에 관한 연구동향 고찰

Since facility management(FM)was academically handled in 1990, it has been expanded throughout the world. Now, FM has been developed in engineering, economic and human social scientific areas as well and lots of studies have been done on FM. At this moment, in order to understand future research direction, it is necessary to review all FM studies discussed from 2008 to 2018 published on research journals of Korea Citation Index. The total of 78 journals were reviewed with the content analysis such as research subjects, methodologies and constructions of studies. As results, it reveals that the number of the research has conducted on Green or Eco-environmental facility management since 2010 and a large portion of studies subjects were conducted on the BIS & GIS technologies and their application related. The major characteristics on FM was mainly focused on technology applied and development to increase more efficient ways saving energy, reducing waste and increasing real estate value. Some articles were reported on better policies direction and marketing strategies for FM. Also, the research objects of FM were limited to public sites and facilities, however, currently they expanded to small sized private facilities since 2013. Those studies are composed of cause of rising, current situation, the effect of FM, and suggestion for development of FM. Based on the results of study, it is recommended that the research on FM needs to apply for more customers-centric tasks who use those facilities in everyday and the study subject needs to be more diverse and specific such as smart cities, nuclear facilities and other spaces. And also the specific future study direction is necessary on long-term view of FM.
온라인 대학원 학습자의 학업 스트레스, LMS 활용만족도, 사회적 지지가 학업지속의도에 미치는 영향

Purpose: The purpose of this study is to examine academic stress, social support and learning management system(LMS) utilization satisfaction of learners attending online graduate schools and understand the factors influencing their academic persistence. Methods: The participants were students of K online graduate school and the data of 143 students, in total, were collected from April to May in 2019. For data analysis, frequency analysis, x2 test, t-test, F-test, Pearson’s correlation and multiple regression analysis were conducted using SPSS ver. 23. Results: Academic stress, social support, and LMS utilization satisfaction were associated with academic persistence of online graduate students. The multiple regression analysis of the factors influencing academic persistence showed that the model was significant (p<.001) with an explanatory power of 23% and that significant factors influencing it were academic stress (β=-.23, p=.002), LMS utilization satisfaction (β=.31, p<.001) and jobs (β=.23, p=.002). Conclusion: Although the online graduate students’ level of academic persistence was high, it is required to develop strategies to alleviate their academic stress and increase LMS utilization rate in order to increase their persistence to academic success. In addition, it is necessary to provide the foundation on which the utilization of major knowledge regarding jobs can be enhanced, reflecting the characteristics of online graduate students. Furthermore, this study is expected to contribute to the extension of professional and advanced education in response to social needs by developing a variety of online high education learning systems beyond time and space.
Advice is Useful for Game AI: Experiments with Alpha-Beta Search Players in Shogi

In this paper, we present methods to strengthen a game AI using advice from other game AIs during game play. People can improve their strength with advice, such as finding better moves or avoiding mistakes. Therefore, to improve the performance of game AIs, we focused on advice. The issues to be considered are the definition of advice and mechanism with advice for move selection. In this paper, we propose that “advice” are moves selected by an adviser and propose a mechanism that makes a player search again when the player’s move is different from advice. We performed tournaments among the proposed systems and other methods against a single engine to compare the strength in shogi. We showed the effectiveness of the proposed method from the experimental results and demonstrated that game AIs can improve their strength with advice. In addition, we found that the advice from a weaker game AI is still useful for game AI.
Round-Efficient Byzantine Broadcast under Strongly Adaptive and Majority Corruptions.

The round complexity of Byzantine Broadcast (BB) has been a central question in distributed systems and cryptography. In the honest majority setting, expected constant round protocols have been known for decades even in the presence of a strongly adaptive adversary. In the corrupt majority setting, however, no protocol with sublinear round complexity is known, even when the adversary is allowed to strongly adaptively corrupt only 51% of the players, and even under reasonable setup or cryptographic assumptions. Recall that a strongly adaptive adversary can examine what original message an honest player would have wanted to send in some round, adaptively corrupt the player in the same round and make it send a completely different message instead.
GDPR and global data privacy - The future

Burke and Hare were a pair of murderous body-snatchers in 1828 Edinburgh, where the demand for bodies was outstripped only by the rivalry between anatomists; buyers such as Robert Knox paid substantially for the dead. With new graves hardened against illegal exhumation, they turned their attentions towards the living , the inevitable result being Hare took Crown immunity from prosecution and Burke was hanged. Shockingly were just how many people turned a blind eye to it, including Burke's wife and lecture attendees. A somewhat extreme example I would agree, of where a very few individuals did business legally, then illegally, followed by murderously. But, what greater personal data have we than our bodies, dead or alive, yet the moral and legal considerations counted as little to moderate their behaviour.
Cyber Security of Your Dreams _ Cheaper/Faster Then You Imagined

Cybercrime is incredibly serious threat in today’s world. It is the quick growing space of crime the web brings joy to our lives, however, at an equivalent time it is some negative sides too. Today, everyone is mistreatment the computers and web use to terrorists and from teenagers to adults. Very little is thought regarding the particular worth these cyber security data sources offer and the way they complement data security and risk management processes. The findings of the study disclosed that their square measure important gender variations within the cyber-crime awareness. Therefore, the results have necessary implications so as to extend student’s level of awareness.
On Efficiency of Fully Probing Mechanisms in Nonogram Solving Algorithm

Fully probing plays an important role in the nonogram solving algorithm developed by Wu et al., whose implementation, named LalaFrogKK, has won several nonogram tournaments since 2011. Different fully probing methods affect the overall nonogram solving performance greatly as shown in previous studies. In this paper, we explore fully probing efficiency from different aspects and evaluate its impact on the performance of solving an entire nonogram puzzle. In the exploration, we found several critical factors influencing fully probing efficiency greatly, i.e. re-probing policy, probing sequence, and computational overhead. Taking these critical factors in account, we developed several new fully probing mechanisms to improve nonogram solving performance. Experimental results based on the puzzles of previous nonogram tournaments show that our new fully probing methods have the potential to improve the speed of solving nonogram puzzles significantly.
Could I volunteer some web development time/energy to help any interested @RadioRookies journalists build their own websites/platforms for empowering/owning their voices, stories, and reporting portfolios?

Could I volunteer some web development time/energy to help any interested @RadioRookies journalists build their own websites/platforms for empowering/owning their voices, stories, and reporting portfolios?
Learning Latent Causal Structures with a Redundant Input Neural Network.

Most causal discovery algorithms find causal structure among a set of observed variables. Learning the causal structure among latent variables remains an important open problem, particularly when using high-dimensional data. In this paper, we address a problem for which it is known that inputs cause outputs, and these causal relationships are encoded by a causal network among a set of an unknown number of latent variables. We developed a deep learning model, which we call a redundant input neural network (RINN), with a modified architecture and a regularized objective function to find causal relationships between input, hidden, and output variables. More specifically, our model allows input variables to directly interact with all latent variables in a neural network to influence what information the latent variables should encode in order to generate the output variables accurately. In this setting, the direct connections between input and latent variables makes the latent variables partially interpretable; furthermore, the connectivity among the latent variables in the neural network serves to model their potential causal relationships to each other and to the output variables. A series of simulation experiments provide support that the RINN method can successfully recover latent causal structure between input and output variables.
SOME ASPECTS GEOGRAPHICAL - HISTORICALLY THINKING IN THE CONTEXT OF THE TIME:  REVIEW OF LITERATURE

The main objective of this paper confirm the importance understanding that are historical events and geographical factors in interdependence, that everything that relates with human population and vital for it takes place the geographical area that are a key factor in historical events organization and transformation of space. Acording to Komusanac and Sterc (2011) one of the basic problems of theoretical considerations historical geography from its beginnings as an independent discipline was unclear positioning of its subject - content base and defining its limits within the frame of the system of scientific geography. Theoretic analysis of historical and geographical aspects of research is determined by the historical - geographic factors, and their interactive relationship is set as a prerequisite for the understanding of objective reality and the spacious design and prediction of relations in the space-time continuum. After analyzing relationships of main of geography fields with other sciences and Venn diagram of the relations of geography history and their subject matter with of the four principal discourses of geography, a review of the theoretical considerations and synthesis of the research results, confirmed by the general geographical, and defined the specific historical and geographical principles as the integrative connection between natural and social science system. Historical geography is therefore the geography of the past particularly in the sense that it studies this past in order to understand the present and therefore strives also for the practical application of its findings.
Adaptive Learning without Forgetting via Low-Complexity Convex Networks

We study the problem of learning without forgetting (LwF) in which a deep learning model learns new tasks without a significant drop in the classification performance on the previously learned tasks. We propose an LwF algorithm for multilayer feedforward neural networks in which we can adapt the number of layers of the network from the old task to the new task. To this end, we limit ourselves to convex loss functions in order to train the network in a layer-wise manner. Layer-wise convex optimization leads to low-computational complexity and provides a more interpretable understanding of the network. We compare the effectiveness of the proposed adaptive LwF algorithm with the standard LwF over image classification datasets.
Overview of Radio Frequency Fingerprint Extraction in Specific Emitter Identification (in English)

Specific Emitter Identification (SEI) is a technique of extracting the radio frequency fingerprints of a received electromagnetic signal by only using external feature measurements to determine the specific emitter that transmits the signal. In recent years, the related theories and practical applications of SEI have been continuously improved, and the research on Radio Frequency Fingerprinting (RFF) feature extraction methods has made great progress. Based on domestic and foreign academic achievements, this paper systematically reviews the status quo of the fingerprint feature extraction method of SEI. In addition, a new feature classification framework is proposed based on the inherent logic of fingerprint feature extraction. The classification framework combines the description characteristics of different RFF features and the correlation between them. It divides the existing radio frequency features into two main categories, namely, direct measurement features and dimensionality reduction transform features, which have three levels. Finally, several potential research directions of fingerprint feature extraction are analyzed and explored, aiming to benefit the research and application of SEI.
Network Sharing of Collective Responsibility as Part of the Implementation of the ESM Model

The article discusses the mechanism of network distribution of collective responsibility on the basis of the formulated principles of the Education Science Manufacturing (ESM) quality model, provides examples of the implementation of elements of network interaction with production through surveys of employers through design and educational programs evaluation systems.
Development of Evaluation System for Optical Image Stabilization Actuator

There is a need for the controller optimization of the evaluation test of optical image stabilization (OIS) actuators. However, in the field where only the actuator and not the entire OIS module is designed, the performance evaluation is inconvenient because no system for evaluating the prototype through controller design exists. Therefore, in this study, we developed a system and a program to design and evaluate the OIS control algorithm executed in an independent environment without complex configuration. For the program design, a controller design system was developed based on the basic control theory, and a graphic user interface was produced and programmed such that the controller could be designed and evaluated using only parameters without complications.
Formation of general education skills on molecular physics

education has set a goal to develop personality traits that are needed for social and value activity of a person in society. It states that knowledge, ability, skills and competencies ensure the achievement of full development of all important qualities of the person. Including the demonstration of physical phenomena allows the teacher to direct the cognitive activity of students in the process of observation and study of phenomena in molecular physics. With the help of physical experiment solve different problems. Physics is an experimental science. With the help of physical experiments, various tasks and learning goals are solved, we will consider the experiments of molecular physics. A number of possible ways for students to learn the laws that take into account the general characteristics of a particular gas and the strength of intermolecular interactions are analyzed. In addition, students study the difference between the van der Waals equation and the Mendeleev-Clapeyron law and make sure that this equation correctly describes the state of real gases.Therefore, the study of gas equations forms students’ complex fundamental concepts, uses the distribution of interrelated levels of knowledge development, which are the most important conditions for their formation and assimilation. The ordering of the basic ideas of molecular physics is of general importance for their mental development, especially for the development of imagination and theoretical thinking. In this regard, mastering the basics of scientific knowledge will undoubtedly contribute to improving the effectiveness of the educational process.