Reviewerly/exHarmony huggingface dataset:
LAYANAN BIMBINGAN KELOMPOK MELALUI TEKNIK CINEMATHERAPHY TERHADAP MINAT BELAJAR SISWA KELAS XI SMK

This study aims to describe group guidance services through Cinema therapy techniques for students who have low self-esteem at Mts Darussalam. The research design used is descriptive qualitative research method. The subjects in the study were 5 students of class XI SMKN 2 Cimahi. Data collection methods used are interviews, documentation and observation. The data analysis used is data collection, data reduction, presentation and data conclusion drawing. The results of the research obtained from the research are group guidance services through Cinema therapy techniques carried out to students who are indicated to have low interest in learning, student responses are very good to guidance services groups through Cinema therapy techniques. Obstacles faced by BK teachers when implementing services are inadequate facilities and infrastructure. Students experience an increase in self-confidence after being provided with Cinema therapy technique group guidance services. Based on these results, group guidance services using the Cinema therapy technique can be used as a reference for further researchers who will conduct research on the level of student interest in learning.Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Keywords:Â Â interest in learning, group guidance, Cinematherapy
E-RAPORT Implementasi E-Raport Berbasis Chatbot Studi Kasus di SMA Dipoenogoro 2 Jakarta

With the rapid development of modern information and technology in all fields, including education, the order of learning activities in schools can be changed to become more effective and efficient. A transcript is the result of each student or student's values ​​during a semester entered or recorded in a report. To increase the effectiveness and efficiency of report card distribution, a simple electronic report or electronic report card program has been developed that student parents can use to know their sons and daughters' school performance. The use of electronic reporting is therefore considered very important given that it is currently a condition of recovery for all sectors affected by the Covid-19 pandemic. , integrated with Python, MySQL database and linked to web program, chatbot based and implemented in SMA Dipoenogoro 2 East Jakarta. The way it works is by using an autoresponder program that calls a database of student grades stored in a database. The student's grades are then converted to a PDF file, and the student's parents simply need to download the transcript and the student's study link. Output the results in PDF format and print without coming to school. In the methods used, the collection technology consists of: Literary observations, interviews, research. The application development method is Extreme Programming, and the service implementation method is implementation method (evidence-based practice) and public relations. The socialization and presentation results showed a good and positive response among all parties involved, i.e. the students' parents and teachers. From a student's parent's point of view, the system is very welcome as it allows them to easily know their child's academic performance. Of course, parents can monitor their child's developmental learning patterns during the school year. Teachers, on the other hand, perceive this advantage as being more effective and efficient. From entering academic records for each student to distributing transcripts, supporting learning activities in modern schools where technology is rapidly developing can be very useful.
Respons Siswa SMK terhadap Media Pembelajaran Berbantuan Software MIT App Inventor 2 pada Materi Logika Matematika

This study aims to design and develop learning media based on android with software in mathematical logic material that is feasible for use by students. In this research, there are two stages that are carried out, that is designing learning application with MIT AI2 and do application usability testing. In the first stage, researcher design learning media on mathematical logic material for eleventh grade classes of vocational high school with use MIT AI2. Then, in the second stages testing the use of the application to determine its quality. In this research there were 13 participants to try to run the application then proceed to fill out the application usability questionnaire. The participants is students of the eleventh grade classes of SMK Muhhamadiyah 3 Wates. For instrument used are application made with MIT AI2 and student responses to the usability questionnaire. Questionnaire used to measure whether the application model can be well received by students according to application expectations or not. The results of the study show that researcher have succeeded in making learning media based android product with MIT AI2 that are feasible to be used by students with an average students response questionnaire of 90 and in good criteria.
Handbook of digital higher education

"Handbook of digital higher education." Innovations in Education and Teaching International, 60(1), pp. 146–147
Using empirical negative cumulative extropy and image quality assessment to determine the accumulation of elements in marine organisms

In this study, the assessment of metals absorption capacity by macroalgae using image analysis was investigated for the first time and compared with fish bioaccumulatio. Empirical cumulative entropy (ECE), and also empirical negative cumulative extropy (ENCEX) were used as a newly introduced (information-based) indices. The regression equation was obtained between fish tissue-seawater in muscle of Sphyraena putnamiae (ENCEX=0.2001BAF; R2=0.96); In the case of muscle of Liza subviridis, the regression model was as (ENCEX=0.1950BAF; R2=0.93). The regression equation was obtained between algae-sediment (ENCEXH. hamulosa=0.2695BAF; R2=0.97). The studied indices showed a high accumulation of Hypnea hamulosa compared to the other algae (ECE=0.2601; ENCEX=0.3995). IQA method showed the same result exhibiting that the algae can be evaluated as a bio-indicator of element accumulation using image analysis. Image analysis can help us find macro algae with high absorption capacity without laboratory examinations.
아동⋅청소년 인권실태조사 데이터 활용 연구동향 분석

Background: This study attempted to discuss the characteristics and the trends of studies (i.e., academic journal articles, thesises, and research reports) using the data set of “Korean Survey on the Rights of Children and Youth.” By doing so, this study drew implications for practical and political improvement for the rights of children and youth as well as the future research. Purpose: This study aimed to analyze and synthesize research outcomes in the studies that have used the data set of “Korean Survey on the Rights of Children and Youth.” Methodology/Approach: From 2011 to May 2020, 77 papers to be analyzed were selected through the Korean academic journal Index (KCI) and RISS, and qualitative content analysis was conducted using Krippendorff's (2004) content analysis process model. Findings/Conclusions: Research using data from the survey on the human rights of children and adolescents first appeared in 2011 and showed an increasing trend, and the year when the amount of academic papers increased significantly was 2016. Social welfare (25.5%) was the most widely used field of data from the child and youth human rights survey, and 62 subjects related to human rights (24%) were the most focused, and as a result of the research method analysis, most studies presented technical statistics. As a result of qualitative content analysis, it emphasized the importance of managing various negative psychological factors such as stress, depression, and vulnerability. Implications: Based on the research findings, this study discussed how to improve the rights of children and youth by providing some practical implications. All in all, the study offered considerations that the future survey need to be grounded in.
A Case Study on the Operation of Intellectual Property Contests Using Local Culture to Spread Intellectual Property

The 'Jeju Local Culture Utilizing Trademark and Design Contest' is held as part of disseminating intellectual property and nurturing human resources with the goal of creating a leading model for intellectual property education, the only base in the Jeju region including subtropical biological industry such as citrus. This contest has been operated since 2019 in collaboration with related organizations in Jeju Island. The purpose of the contest is to induce the creation of intellectual property through the realization of creative ideas using the local culture of Jeju Island, and to discover intellectual property talents to strengthen employment and start-up capabilities. The target audience is elementary, middle and high school students, undergraduate and graduate students, and the general public residing in Jeju Island. The fields of participation are divided into trademark and design fields using Jeju language and Jeju culture. Ideas of various age groups are being discovered and combined with local culture. The submitted works are reviewed and the best works are selected and supported so that they can be turned into rights. Through this study, we intend to review the operation cases and results of competitions utilizing local culture, and suggest best practices for nurturing intellectual property talents and securing regional-specific intellectual property rights.
Research on the Cloud Platform for Urban Rail Transit based on Track Inspection Vehicle

Abstract The aim of this paper was to improve the automation of track inspection, data utilization rate, informationization of maintenance dispatch. We designed a track inspection vehicle based on multi-sensor information fusion, then gave the method of coordinate transformation and data fusion. And then researched the service of data displaying, data management and data analysis, proposed the system architecture and network topology, realized the system deployment on the cloud. And then demonstrated stability by comparing the results of two machine tests, and proved accuracy by comparing the results of machine tests with manual tests. The result shows that it had a high accuracy and stability. At last, designed the reserve of cloud platform function extension, discussed the method of data analysis. Research shows that, the track inspection vehicle can measure the track geometric parameter. The application of cloud platform technology can reduce the cost of operation, simplify the function extension. The research result has a positive impact on solving the current problem of track inspection, improving passenger comfort and ensuring safe operation.
Regress 3D human pose from 2D skeleton with kinematics knowledge

&lt;abstract&gt; &lt;p&gt;3D human pose estimation is a hot topic in the field of computer vision. It provides data support for tasks such as pose recognition, human tracking and action recognition. Therefore, it is widely applied in the fields of advanced human-computer interaction, intelligent monitoring and so on. Estimating 3D human pose from a single 2D image is an ill-posed problem and is likely to cause low prediction accuracy, due to the problems of self-occlusion and depth ambiguity. This paper developed two types of human kinematics to improve the estimation accuracy. First, taking the 2D human body skeleton sequence obtained by the 2D human body pose detector as input, a temporal convolutional network is proposed to develop the movement periodicity in temporal domain. Second, geometrical prior knowledge is introduced into the model to constrain the estimated pose to fit the general kinematics knowledge. The experiments are tested on Human3.6M and MPII (Max Planck Institut Informatik) Human Pose (MPI-INF-3DHP) datasets, and the proposed model shows better generalization ability compared with the baseline and the state-of-the-art models.&lt;/p&gt; &lt;/abstract&gt;
SOME GRAPHIC AND ORTHOGRAPHIC FEATURES OF THE ODESSA COPY OF THE NEW BULGARIAN TRANSLATION OF THE “SMALL CATECHISMOS” BY THEODOR THE STUDITE

Summary. The aim of the article is to consider the graphic and orthographical features of the New Bulgarian translation of “Catechismos” written by Theodore the Studite, the outstanding Byzantine religious and public figure and the author of the monastery charter. The object of the research is copy of the "Small Catechismos" of the 18th century by anonymous scribe which is part of a convolute and kept in the collection of manuscripts and early printed editions (Odessa National Scientific Library, no.1/154), the subject – features of the graphic-spelling system of the copy, whose description is an important criterion and prerequisite for identifying the written layers. The article describes the history of the study of this translation among the Slavs; the great contribution of professor D. S. Ishchenko to the development of this issue is determined; the complex of graphemes used in the copy and the orthographic principles of their use are considered; the typical phonetic phenomena and changes that received written fixation in the copy are analyzed; the local markers are outlined. The results of the study allow us to draw the following conclusions: the Odessa copy of "Small Catechismos" by Theodore the Studite has several written layers (medieval Bulgarian or Tarnovo-Resavian, Serbian and East Slavic) with a partial inclusion of Bulgarian dialect features. This fact determines important aspects of the further research. To clarify the ethnolinguistic attribution of the copy, it is necessary to carry out an in-depth study of its paleographic, accentological, grammatical, syntactic, lexical features, as well as a thorough textual analysis of copies similar in composition. Textual research should be preceded, first of all, by the identification of copies containing this translation.
A Simple Rational Expectations Model of the Voltage Effect

The “voltage effect” is defined as the tendency for a program’s efficacy to change when it is scaled up, which in most cases results in the absolute size of a program’s treatment effects to diminish when the program is scaled. Understanding the scaling problem and taking steps to diminish voltage drops are important because if left unaddressed, the scaling problem can weaken the public’s faith in science, and it can lead to a misallocation of public resources. There exists a growing literature illustrating the prevalence of the scaling problem, explaining its causes, and proposing countermeasures. This paper adds to the literature by providing a simple model of the scaling problem that is consistent with rational expectations by the key stakeholders. Our model highlights that asymmetric information is a key contributor to the voltage effect.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
Debugging the Expensive Way

Blockchain users are rediscovering hard lessons from real-time systems and game theory.
Will ‘Big Brother’ Start Watching?

Interest in automation has certainly increased post-pandemic, but at the same time has raised some serious questions about surveillance
Processor Makers Embrace DPUs

With data processing units (DPUs), designers are pitching for a new slot in server architectures.
Democratising Chip Design

Can you get an ASIC fabbed for nothing? It depends on how open you want to be with the design, explains Chris Edwards
A Question of Scale

A quiet 3D transition and design tweaks are helping to keep Moore’s Law on track,
Identity Checks Fend Off Fakes

Authentication helps deal with the growth in digital counterfeits, as Chris Edwards discovers
The Manifestation of Theatrical Beginning in Choral Music

Specific theatricalization by means of musical expressiveness is manifested in modern choral music in many ways. The creation of a choral work focused on theatrical interpretation is connected with the solution by a composer of a number of artistic tasks when composing a musical score with director’s instructions. The aim of the article is to identify the means of expressing choral music in the field of theatrical art. The scientific novelty consists in presenting a general picture of the state of modern choral theatre with a reflection of its inherent communicative expressive means. As a result of the study, the author comes to the conclusion that choral performances have great communicative capabilities, since the complex of expressive means used helps to simultaneously draw several semantic lines of the work.
Study of the Problem of Musical Art Impact on a Personality in the 20th Century: A Retrospective Analysis

The aim of the article is a retrospective analysis of studying the problem of musical art impact on a personality in the 20th century. The scientific novelty lies in the view on musical art in relation to a person as an essential self-manifestation of culture, which holistically introduces a person into the cultural world, familiarizes him with the internal tendencies of its development. As a result of the study, the author comes to the conclusion that music is a unique means of understanding the world and a person, since it addresses a specific perceiving consciousness, contributing to its self-disclosure, self-knowledge and, at the same time, introducing it to what the composer wanted to express. Revealing the spiritual abilities of a person, music affirms his inherent worth as a personality.
Aplikasi Edmodo dan Minat Siswa Sekolah Dasar Dalam Pembelajaran Online : Pengujian Model Delone &amp; Mclean

This study aims to analyze the effect of using the Edmodo application on students' interest in online learning by testing the Delone &amp; McLean model. This research method used an analytical survey with a quantitative approach. The population in this study were students of Duren Sawit 13 Pagi Elementary School, with a total sample of 92 students according to the measurement of the G*Power application, which consisted of VA, VB, and VC graders. This research instrument used a questionnaire via a Google Form. The data analysis technique used was the reliability test, validity test, and hypothesis testing using the SmartPLS application. The results of this study indicated that of the eight hypotheses tested, only two were accepted. In comparison, the other six hypotheses were rejected, meaning that the Edmodo application could not increase elementary school students' interest in online learning. It is caused by many students having difficulty using the application, students being less active during the learning process, lack of interaction between teachers and students, and not all students having adequate internet access. In contrast, this application was very dependent on the internet.
Analysis of Research Trends to identify the competencies of the fourth industrial Revolution era - Study on the competency Network Analysis according to the classification of Academy and industry -

This study is a meta-analysis study through frequency analysis and network analysis based on 176 previous studies related to the 4th industrial revolution and digital transformation competencies. Competencies were extracted from previous studies such as domestic and foreign institutions, academic data, and books, and final competencies were derived through control and categorization, and these were divided into academia and industry. As a result of the analysis, the capabilities for 'communication', 'creativity', and 'collaboration ability' showed the highest frequency. And following the previous competencies, the academic community showed a high frequency of problem-solving and problem-discovering, and the industry showed a high frequency of convergent thinking with ICT technology. In addition, network analysis of degree centrality, centrality, and eigenvector centrality was conducted. As a result, in degree centrality, communication and creativity competencies showed high centrality in both academia and industry. In addition, as a result of the eigenvector-centered analysis, communication, problem-solving, creativity, collaboration ability, problem discovery ability in academia, and creativity, self-directedness, flexible leadership, and problem-solving were derived as upper competencies in the industry. This study attempted to confirm the difference in competencies required in the era of the 4th Industrial Revolution based on academia and industry and to present the direction and practical implications of future competency research by confirming the relationship between competencies.
Sentimental Analysis on Social Media Dataset Using Different Algorithms in Machine Learning

The total amount of data created for social networks is growing significantly every day. On social media, both public and private opinions on various topics or concerns are shared Various people use different media to keep themselves updated, especially in social media network sites, for example Facebook, Twitter, Instagram etc. An information shared on social media directly affects people's life. People occasionally responded well to it, while other times it had a negative effect on daily life. Sentiment analysis is a technique for examining the sentiment that is embedded in a remark. By using sentiment analysis, a powerful marketing tactic, and their advertising efforts, product managers can better grasp the opinions of their customers. It has a big impact on customer loyalty, satisfaction, marketing, advertising efficacy, and product adoption. The sentiment of your brand on social media is shown through this investigation. The sentiment scores are categorized as positive (+ve) and negative (-ve) by considering the Recurrent Neural Network (RNN), Support Vector Machine (SVM), Random Forest (RF), Naive Bayes, Convolution Neural Network (CNN), and Logistic Regression. In this work, Sentimental analysis is used to analyze a variety of data available on social media site including Twitter, Facebook, Instagram. Evaluation of performance was measured with accuracy. From the obtained results, it is observed that the Support Vector Machine outperforms all the other algorithms with an accuracy of 85.9% considered for the Twitter dataset, 94.4% for the Facebook dataset, and 84% for the Instagram dataset better than other algorithms.
Quality-Constant Per-Shot Encoding by Two-Pass Learning-based Rate Factor Prediction

Providing quality-constant streams can simultaneously guarantee user experience and prevent wasting bit-rate. In this paper, we propose a novel deep learning based two-pass encoder parameter prediction framework to decide rate factor (RF), with which encoder can output streams with constant quality. In first-pass, an RF is predicted based on spatial-temporal and pre-coding features of video segment. Then video segment is encoded using the predicted RF and then its VMAF is measured. If first pass VMAF doesn't meet target quality, a second pass prediction is performed using another model, in where results of first pass is added to features. Experiments show the proposed method requires only 1.55 times encoding complexity on average, meanwhile the accuracy, that the compressed video's actual VMAF is within ±1 around the target VMAF, reaches 98.88%. Compared with average rate mode, this method can both improve visual Quality and save ~10% bit-rate, as shown in demos <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> Subjective comparison videos can be downloaded at https://drive.google.com/drive/folders/1BJNZ5HssxFaKBcXMenEdioLJ77hnZ-vx?usp=sharing..