Reviewerly/exHarmony huggingface dataset:
Peran Virtual Literacy di Masa Pandemi Covid-19: Best Practices Pusat Perpustakaan Dan Penyebaran Teknologi Pertanian Kementerian Pertanian

The disease outbreak due to the corona virus (COVID-19) as a global pandemic has a broad impact on lives. The speed of the internet provides a wide variety of applications that allow people to carry out various activities even though physical activity has been hampered by the outbreak, for example from face-to-face meetings to virtual meetings using video conferencing. The use of interactive media with video conferencing is inseparable from the new era of development of information and communication technology (ICT) which is very powerful. ICT makes it easy to carry out various activities, anytime and anywhere. Therefore, the Center for Library and Dissemination of Agricultural Technology (PUSTAKA) implemented a strategy by launching a Virtual Literacy (VL) program. VL aims to increase the knowledge and skills of the community in the field of agriculture, the media for agricultural business transactions, and to bring together information sources, experts, or agricultural business actors with massive stakeholders. This study aims to describe in detail the implementation of Virtual Literacy conducted by PUSTAKA during a period of three months from March 4 to May 12, 2020. The study method was carried out descriptively by collecting data and analyzing information on the whatsapp group (WAG). The results show that since the VL program was launched on 3 March 2020, the VL have been conducted for 65 times. The Virtual Literacy Program which was implemented by PUSTAKA for three months showed a response that the participants of Virtual Literacy welcomed this program, seen from the increase in responses and the number of participants who participated in Virtual Literacy, as well as the number of visitors to the sites and applications owned by PUSTAKA.
Analytic quantum weak coin flipping protocols with arbitrarily small bias

Weak coin flipping (WCF) is a fundamental cryptographic primitive for two-party secure computation, where two distrustful parties need to remotely establish a shared random bit whilst having opposite preferred outcomes. It is the strongest known primitive with arbitrarily close to perfect security quantumly while classically, its security is completely compromised (unless one makes further assumptions, such as computational hardness). A WCF protocol is said to have bias $\epsilon$ if neither party can force their preferred outcome with probability greater than $1/2+\epsilon$. Classical WCF protocols are shown to have bias $1/2$, i.e., a cheating party can always force their preferred outcome. On the other hand, there exist quantum WCF protocols with arbitrarily small bias, as Mochon showed in his seminal work in 2007 [arXiv:0711.4114]. In particular, he proved the existence of a family of WCF protocols approaching bias $\epsilon (k)=1/(4k+2)$ for arbitrarily large $k$ and proposed a protocol with bias $1/6$. Last year, Arora, Roland and Weis presented a protocol with bias $1/10$ and to go below this bias, they designed an algorithm that numerically constructs unitary matrices corresponding to WCF protocols with arbitrarily small bias [STOC'19, p.205-216]. In this work, we present new techniques which yield a fully analytical construction of WCF protocols with bias arbitrarily close to zero, thus achieving a solution that has been missing for more than a decade. Furthermore, our new techniques lead to a simplified proof of existence of WCF protocols by circumventing the non-constructive part of Mochon's proof. As an example, we illustrate the construction of a WCF protocol with bias $1/14$.
Efficient Graph-based Kernel using Covariance Descriptors for 3D Facial Expression Classification

In this paper, the problem of person-independent facial expression recognition (FER) is addressed using the 3D geometry information extracted from the 3D shape of the face. The 3D data can provide more information and more robust features under some conditions than the 2D data. State-of-the-art 3D FER methods are often based on a single descriptor which may fail to handle the large inter-class and intra-class variability of the human facial expressions. For this reason, we propose to explore the usage of covariance matrices of features, instead of directly using the local features for the 3D FER task. Since covariance matrices are elements of the non-linear manifold of Symmetric Positive Definite (SPD) matrices, we propose, in this paper, a manifold-based classification using a Graph-Matching Kernel method. The proposed Kernel is appropriate for SVM-based image classification, and thus is suitable for FER application. We evaluate the performance of the proposed method on the BU-3DFE and the Bosphorus datasets, and demonstrate its superiority compared to the state-of-the-art methods.
Pelatihan computational thinking bagi guru dan siswa SMA/SMK/MA Muhammadiyah di Wilayah Kota Yogyakarta

Industrial Revolution 4.0 is a big change in industrial processes where Artificial Intelligence, Machine Learning, Big Data technology will be applied / have a role in industrial processes. According to the P21 (Partnership for 21st Century Education) network in order to welcome changes in the 21st century in general and the Industrial Revolution 4.0 in particular , it requires several attitudes and skills, namely Critical Thinking, Communication, Collaboration and Creativity (4C). Those skillsets are c oupled with an ability in the era of information technology, namely Computational Thinking. Muhammadiyah schools, especially high school level, must prepare their students to welcome the era of the Industrial Revolution 4.0. Therefore, this activity aims to introduce Computational Thinking to Muhammadiyah high school schools. The solutions that will be offered in order to improve understanding of Computational Thinking are 1) Computational Thinking Training for Muhammadiyah high school teachers and students in Yogyakarta City, 2) Creating a Computational Thinking module which will be reference for SMA Muhammadiyah teachers / students in Yogyakarta City, 3) Assistance of Muhammadiyah Senior High School students in Yogyakarta City to take part in the Bebras Challenge Competition 2020. Based on evaluation conducted by the team, the training participants received additional insights about Industrial Revolution 4.0, Big Data, and Computational Thinking. Teachers and students of SMA / SMK Muhammadiyah in Yogyakarta City understand the material about Computational Thinking.
Distance course: features of development and use

In 2013, the Regulation on Distance Learning came into force, probably then no one could have imagined that distance learning would be as popular around the world as it is now. In general, the purpose of developing distance education was to provide the opportunity to receive education in another city or country, but without the direct presence of a person, presence only in the most necessary circumstances, including state exams, thesis defense, and so on. Apropos, even before 2013, distance learning was used in the most famous institutions of higher education in the world.&#x0D; The present is impossible to imagine without distance learning. What has only recently become an isolated phenomenon has become widespread. But at the same time there is a problem of how to effectively organize the educational process using distance learning technologies. The solution to this problem is to use an educational platform, in particular, the Moodle platform.&#x0D; The creation of courses on the Moodle platform with a description of the main stages is characterized. The possibilities of the Moodle educational platform are described and the developed distance courses on the Moodle platform are presented, in particular "Computer networks and the Internet", "Computer graphics and design of polygraphic editions", "Computer design and multimedia", "Programming Internet-oriented applications", which consist of such sections as instructional, which also contains a chat and a forum, lectures, laboratory (practical) works, independent work, modular control work, exam, individual training. The advantages and disadvantages of using distance learning are presented.
Editing in the system of scientific knowledge

The author considers the features of the concept of «editing» as a terminology unit in the system of scientific knowledge. In connection with the introduction of information and communication technologies, the increasing use of editing in various fields of activity, there was a need for a more precise definition of the concept as a term to eliminate contradictory statements in university textbooks and various handbooks on journalism and publishing. The author offers a refined definition of editing, which can be applied regardless of the place of editorial activity.
Detecting de minimis Code-Switching in Historical German Books

Code-switching has long interested linguists, with computational work in particular focusing on speech and social media data (Sitaram et al., 2019).This paper contrasts these informal instances of code-switching to its appearance in more formal registers, by examining the mixture of languages in the Deutsches Textarchiv (DTA), a corpus of 1406 primarily German books from the 17th to 19th centuries.We automatically annotate and manually inspect spans of six embedded languages (Latin, French, English, Italian, Spanish, and Greek) in the corpus.We quantitatively analyze the differences between code-switching patterns in these books and those in more typically studied speech and social media corpora.Furthermore, we address the practical task of predicting code-switching from features of the matrix language alone in the DTA corpus.Such classifiers can help reduce errors when optical character recognition or speech transcription is applied to a large corpus with rare embedded languages.
Analisis Kerentanan Sosial dan Ekonomi Bencana Longsorlahan di Kecamatan Imogiri Kabupaten Bantul

Landslides are one of the natural disasters that often occur, especially in areas that have moderate to high slopes. Imogiri is a sub-district located in Bantul Regency. This study aims to analyze the areas in Imogiri Subdistrict which have low to high landslide hazard levels, as well as analyze the level of social and economic vulnerability of the people living in Imogiri Subdistrict, especially areas with potential landslides. The data analysis methods used were overlay scoring and quantitative descriptive results. The results obtained from this study are 3, namely landslide hazard map in Imogiri District which shows the dominance of moderate and high hazard classes, the level is influenced by the relief conditions. The social vulnerability map in Imogiri Subdistrict due to landslides shows moderate social vulnerability class, but there are 2 villages that have high social vulnerability. Economic vulnerability map in Imogiri Subdistrict due to landslide disasters which are classified as moderate. Based on the map, it can be analyzed that the Imogiri has a moderate level of landslide vulnerability, while the level of social and economic vulnerability in some areas shows a high level of vulnerability. This is influenced by population density, type of work, and its relationship with the level of landslide vulnerability in the areas.
Innovative Exploration of the Cultivation Model of Professional English Abilities of College Students

With the continued education reform, the significance of higher education institutions in the cultivation of professional talents has gradually become apparent. Among them, the teaching of students’ professional English abilities in higher vocational colleges has received extensive attention from all walks of life. Traditional higher professional English teaching only takes English as the basic subject of public courses. In the teaching process, it focuses on the students’ test-taking ability, ignoring the improvement of students’ practical ability of professional English, which hinders the future development of students. In this case, this paper analyzes and studies the existing problems in the teaching of professional English ability of colleges and universities, and proposes feasible professional English teaching programs, in order to improve the English teaching ability of colleges and universities and promote the comprehensive development of students.
Actuated and Performative Architecture: Emerging Forms of Human-Machine Interaction

This Spool [CpA] #3 issue poses and attempts to answer questions on the nature of this intimate human-machine bond, encouraging the discussion of its potentials also in terms of individual and social resilience. This issue of Spool, moreover, attempts to explore the design of bio-cyber-physical systems, which requires integration of natural, physical, and virtual architectures with digital systems and social organizations. In designing interactions between the (augmented) human and cyber-physical environments, the collection and use of personal data, the management of a multi-layered design approach, and the ethics of such design activity require attention from experts in architectural design, interaction and UX design, civil and architectural engineering, mechanical and electrical engineering, computer and information science, sociology, psychology, education, ethics, philosophy, media arts, and science and technology studies.
AN ANALYSIS OF VARIOUS MACHINE LEARNING ALGORITHMS AND THEIR IMPLEMENTATIONS IN THE CONTEMPORARY WORLD

Machine Learning is the logical investigation of calculations and measurable models that PC frameworks use to play out a particular undertaking without being unequivocally modified.Machine Learning (ML) uses calculations in numerous applications that we utilize every day.The machine learning algorithms are developed in a way that they acquire information from experience and their performance improves as they digest on more and more data.Each time a web index like Google is utilized to look through the web, one reason that it functions admirably is on the grounds that a learning calculation has figured out how to display relevant site pages.This paper will touch base the different machine learning apparatus which are expected to run the machine learning ventures and furthermore where these instruments are actualized.
Penerapan Metode Ulang Cerita Dalam Pembelajaran Bahasa Indonesia Di SMPN 2 Kebonagung

The research method in this study using descriptive qualitative methods. The results of this study indicate that in choosing a learning method the teacher must pay attention to the basic competencies to be used as well as indicators and learning objectives to be achieved. In applying the steps of learning Indonesian by using the method of repeating the story, it can teach students how to listen and speak in public and to convey information properly and correctly without adding or reducing the essence of the information. Indirectly learning feels fun and is not boring for students. Train the concentration and memory of students, practice speaking in public and getting used to give good and correct information. Using simple story text and using language that is easy to understand is very helpful in applying learning methods with the method of repeating stories. Because, with language that is easy to understand and simple, students will not be difficult to understand. This method is a group method, relying on memory and training students to listen to each of what is told to find the core or main content of the story or information conveyed.
Kemampuan Guru Menggunakan Penguatan (Reinforcement) dalam Pembelajaran di SMPN Kecamatan Bengkalis Kabupaten Bengkalis

Reinforcement is a response to a behavior that can increase the likelihood of the behavior recurring. Reinforcement can be done verbally and nonverbally, with principles, enthusiasm, meaningful and positive responses. The problems found are; Most teachers have not yet how to provide good and correct reinforcement and also do not know the benefits of reinforcement in learning. This research is descriptive research. Based on the data obtained, it can be concluded that the form of reinforcement given by teachers at SMP Bengkalis as a whole is varied, but in the results of observations teachers use verbal reinforcement more often than nonverbal reinforcement. This can be seen in the proportion obtained as much as 83.33%. In addition, reinforcement also has a good influence on students and learning goals. This can be seen from the positive response from students and the increased enthusiasm of students in learning and also seen from the percentage obtained as much as 61.11%. The reinforcement given at SMP Bengkalis has varied and is going well.
Exploring and Analyzing the Optimal Path of Training Big Data Talents in Higher Vocational Colleges under the "1+X" Certificate System

In the process of cultivating big data talents in higher vocational colleges, in order to enhance the competitiveness of graduates of higher vocational colleges and improve their comprehensive capabilities, all major vocational colleges are implementing the "1+X" certificate system. Based on Alibaba’s “1+X” certificate system, this article discusses the importance of the “1+X” certificate system in the training of big data talents, and proposes a series of teaching plans and measures to optimize the training of big data talents, with a view to Better serve the training and education of big data talents in higher vocational colleges.
Spiegare le note e il tempo con le parole. Appunti per una tipologia della recensione musicale in Italia

The first part of the article outlines a typology of music review and essay based on the degree of assumption required of the reader and the author's ability/will to address non-experts. The second part illustrates examples of musical teaching and essays suitable for those who cannot read music. In the third part the role of metaphor in addressing musicological subjects is explained, and some linguistic and stylistic features (aulicisms) peculiar to writing on music are exemplified.
Active learning from crowd in document screening

In this paper, we explore how to efficiently combine crowdsourcing and machine intelligence for the problem of document screening, where we need to screen documents with a set of machine-learning filters. Specifically, we focus on building a set of machine learning classifiers that evaluate documents, and then screen them efficiently. It is a challenging task since the budget is limited and there are countless number of ways to spend the given budget on the problem. We propose a multi-label active learning screening specific sampling technique -- objective-aware sampling -- for querying unlabelled documents for annotating. Our algorithm takes a decision on which machine filter need more training data and how to choose unlabeled items to annotate in order to minimize the risk of overall classification errors rather than minimizing a single filter error. We demonstrate that objective-aware sampling significantly outperforms the state of the art active learning sampling strategies.
Pelatihan pembuatan media pembelajaran dan penggunaan aplikasi rapor bagi guru TK Perintis Sendangtirto Kecamatan Berbah

Perintis Kindergarten in Sendangtirto, Berbah, Yogyakarta has a mission to implement the PERINTIS (Personality, Innovative, Creative, Smart) learning system which can be realized by utilizing technology such as learning media and applications to support learning activities. However, the implementation is not yet optimal because the teachers are still using conventional learning media that are less interactive, thus reducing the learning experience of students. Moreover, with a lot of number of students, student data management and student evaluation report are not effective if they are still done manually. Therefore, this community services activity holds a training program to make learning media and to use kindergarten report application for the teachers in Perintis Kindergarten. The purpose is that teachers can take advantage of technology to make learning media such as interactive animated video with interesting video and audio to increase the student learning experiences and to use kindergarten report application that apply digital documentation to facilitate data management and make student evaluation reports. The method used in this program namely preparation, knowledge about learning media and evaluation report application, training, mentoring, and evaluation. The result of this training program is every teacher can make their own animated video product, manage the student data and make student evaluation report through the application properly.
Clustering verbal Objects: manual and automatic procedures compared

As highlighted by Pustejovsky (1995, 2002), the semantics of each verb is determined by the totality of its complementation patterns. Arguments play in fact a fundamental role in verb meaning and verbal polysemy, thanks to the sense co-composition principle between verb and argument. For this reason, clustering of lexical items filling the Object slot of a verb is believed to bring to surface relevant information about verbal meaning and the verb-Objects relation. The paper presents the results of an experiment comparing the automatic clustering of direct Objects operated by the agglomerative hierarchical algorithm of the Sketch Engine corpus tool with the manual clustering of direct Objects carried out in the T-PAS resource. Cluster analysis is here used to improve the semantic quality of automatic clusters against expert human intuition and as an investigation tool of phenomena intrinsic to semantic selection of verbs and the construction of verb senses in context.