Reviewerly/exHarmony huggingface dataset:
Effect of division of roles on learners in online manufacturing education

The Japanese manufacturing industry is facing a shortage of new employees and an aging workforce due to the declining birthrate and aging population. In addition, the manufacturing industry needs new employees who can learn independently and cooperatively, and possess knowledge and skills in manufacturing. Project-based learning (PBL) is a learning method that allows independent and cooperative learning. Students who learned this method at the Tokyo University of Science in 2019 formed a small group and acquired not only technical skills in the manufacturing field but also interpersonal skills through communication and discussion with group members. However, the impact of COVID-19 in 2020 made it difficult to conduct face-to-face classes, making it was necessary to conduct online classes. As such, online education has attracted attention, as its allows learners and instructors to connect via the Internet and conduct classes remotely. However, in online learning, communication among learners may be insufficient. This study aims to encouraged students to share information by providing them with different information on how to improve their assembly skills and by giving them opportunities to communicate. It specifically investigates the effect of online PBL on the development of students in the manufacturing industry and examines the effect of PBL by introducing the LEGO block assembly training. With repeated assembly trainings, students improved their LEGO assembly skills and created assembly manuals for anyone to complete the task within a standard timeframe. The results show that students who are given different information and encouraged to communicate under online PBL improve their assembly skills more effectively than other students.
FORESIGHT TECHNOLOGY IN THE MODERNIZATION OF THE EDUCATIONAL PROGRAM WITH THE FOCUS ON THE DIGITAL CULTURE OF THE FUTURE TEACHER

This article focuses on the role of foresight technology in the process of updating educational programmes in the Republic of Kazakhstan with an emphasis on the digital culture of the future teacher. The authors of the article offer ways to introduce foresight technology with the joint effective interaction of stakeholders (students, teachers, employers, etc.) in the process of modernizing the three aspects of the educational programme (on the example of the educational program of the bachelor level “Foreign language: two foreign languages”) - the purpose, content-based component and the operational one. The authors present the possibilities of foresight technology in relation to the verbalized form of joint activities through the analysis of the Minor programs (additional educational program) in creating the foundation of the digital culture of the future teacher (the authors unveil the list of updated 16 minor programs with an emphasis on the digital culture of the future teacher). The article presents fragments of a profession card with a prognostic component, excerpts from the list of formed competencies with the possibility of prognostic modernization.
On Responsibility Sensitive Safety in Car-following Situations - A Parameter Analysis on German Highways.

The need for safety in automated driving is undisputed. Since automated vehicles are expected to reduce the number of fatalities in road traffic significantly, hundreds of millions of test kilometers would be required for statistical safety validation [1]. Physics-based safety verification approaches are promising in order to reduce this validation effort. Towards this goal, Mobileye introduced the concept of Responsibility-Sensitive Safety (RSS). In RSS, bounds for the reasonable worst-case behavior of traffic participants are assumed to be given, such as the reaction time or the maximum deceleration. These parameters have a crucial effect on the applicability of the approach: choosing conservative parameters likely hinders traffic flow, while the opposite could lead to collisions, as the assumptions are violated. Thus, in this work, we focus on finding reasonable parameters of RSS. Based on the physical limits, legal requirements and human driving behavior, we propose scopes and parameter sets that allow for a sound safety verification while not hindering traffic flow. Furthermore, we present an approach that explains seemingly frequent human drivers' RSS violations on highways and may lead to a useful extension of RSS.
CURRENT PROJECTS OF EDUCATIONAL DOMAIN: FROM MASK EXPANSION TO LIVE BREATHING

Тhe paper presents the results of the study of the anthropological perspectives of the newvocational/professional school didactics. It analyzes the content (regularities, principles, forms, methods andcriteria) of an enant postmodern education theory focused on self-centred individualism encouraging thefuture specialists’ reflection on the expediency of a peculiar machine kenosis, namely, transgression into thebody of transformer, cyborg, robot-android. As an alternative, the author’s model of performative conceptionof professional training is introduced. The concept implies future specialists’ activity above the situation inthe moral and meaningful mediation of the organizational principles of complex metasystems, atopic metaxisphenomena in Humanities and Science. The systematic thinking methodology of the proposed research hasapplied semiotic, phenomenological and hermeneutic approaches, methods of coherent modelling and expertevaluation of the theory of conceptual integration, the connective theory of metaphorical interpretation,the conception of non-linear epistemology, the principles of antinomy, verification, complexity, disjunctivesynthesis. The scientific novelty of the paper lies in revealing the strategies of implementing performativehigher school didactics and the metanoia technique for their realization in the process of metaphoricalcognitivistics.
Differences in information source preferences by students during pre and post PSBB covid-19 pandemic

Background of Study: The increasingly rapid and massive spread of the COVID-19 virus to various countries, has made the Indonesian Government implement a Large-Scale Social Restriction (PSBB) policy in order to stop the spread of the virus. This policy makes various activities, such as services in libraries, must be closed. This of course makes library users, such as students switch to using electronic information sources. Furthermore, the Government decided to start a new era habit or called the "New Normal" by living adapting to the spread of the virus.&#x0D; Purpose: This research was conducted in order to review the preferences of information sources used by students after the PSBB policy.&#x0D; Method. The research method used is a quantitative approach, with a descriptive type. The target population of this research are students from Surabaya. Data collection was carried out by means of a survey using a questionnaire. Then processed using the SPSS 18.0 application&#x0D; Analysis. The analysis uses theory in the literature.&#x0D; Results: The results showed that most of the students chose electronic information sources as their main preference. This is indicated by the results of research showing that information retrieval machines have become a popular choice both in the pre and post PSBB periods. However, comparative figures show that there are differences in several sources of information in the two periods.&#x0D; Conclusion: Since the PSBB, most students have experienced changes in their preferences for information sources.
AN ANALYSIS OF ADJACENCY PAIRS ON CONVERSATION IN BLACK PANTHER MOVIE

This research investigated about adjacency pairs in conversation of the &lt;em&gt;Black Panther &lt;/em&gt;movie from five main characters in the movie. This research used qualitative research by applied content analysis as a research design. The data obtained from transcript of &lt;em&gt;Black Panther &lt;/em&gt;movie which has 134 minutes duration. The researchers transcribed the data in written form and analyzed by using theory of adjacency pairs. The researchers found 71 data of the conversation five main characters in the movie. Based on the research, there are 71 data of conversation that consist of thirteen types of adjacency pairs. From 71 data of conversation, there are 2 pairs of greeting-greeting sequence, 2 pairs of summons-answer sequence, 2 pairs of apology-minimization sequence, 24 pairs of question-answer sequence, 2 pairs of request-acceptance/refusal sequence, 4 pairs of offer-acceptance/refusal sequence, 2 pairs of blame-admission/denial sequence, 3 pairs of invitation-acceptance/refusal sequence, 8 pairs of assessment-agreement/disagreement sequence, 11 pairs of commands-compliance/incompliance sequence, 2 pairs of suggestion-acceptance/refusal sequence, 3 pairs of assertion-agreement/disagreement sequence and 6 pairs of announcement-acknowledgement sequence. From the research finding it can be concluded that question-answer was mostly-appeared type of adjacency pairs in the conversation by five main characters in the movie
Introduction to the Defence and Security Advisory Network Report

Since 2019, the Defence and Security Advisory Network has been actively promoting new research in the security and public safety spheres. This report is the first publication in a new research series intended to highlight the research discussed at the 2021 Defence and Security Advisory Network (DSAN) workshop. This workshop brought together international experts from various backgrounds such as tactical, academic, practitioner, intelligence, and defence, to highlight emerging research and perspectives for engaging with memes and community resilience.
Information units: terms and characteristics for a diversity of information environments

Faced with the dichotomy around the library - now one of overcoming, now of valorization -, the term information units is adopted as to way to encompass the diverse information environments that are in line with the librarian practice. However, the modes of use of the term are distinct, do not respond largely to the reality of the labor market and are little problematized in the literature. Thus, the objective of the work is to explore the term information units, regarding the motivations and implications of its uses, especially in Brazil, and its possibilities of characterization. The methodology was based on a non-exhaustive survey of the literature regarding the issues placed in the subject, which was treated in four parts: the diversity of terms and concepts around the idea of information units; the types of information units that were the basis for the construction of the term, such as libraries, documentation centers and information centers, and some more recently created types; the characterization of information units as a system; and its mode of operation with regard to the internal and external conditions of the units. At the end, we consider the identification of the various ways of using the term information unit, not always linked to the field, and the need for term stability for the consolidation of a field.
A New Method of Property Right Transaction of Service Data Resources Based on Blockchain

As a new business format, data resource transaction breaks the current situation of information fragmentation of government and enterprises, and it has become the consensus of academic circles and business circles to manage and utilize data as assets. At present, the market and mode of data resource transaction are still immature, and there are some problems such as difficult data resource integration, pricing and transaction supervision, which restrict the further development of data resource transaction. In the whole transaction chain of data resources, there are still severe challenges of &#x201C;four difficulties&#x201D; of transaction system and &#x201C;three noes&#x201D; of transaction service. How to break through the &#x201C;last mile&#x201D; of the whole transaction chain has become the focus of social attention. In this paper, a new method and technical scheme of property right transaction of service data resources based on blockchain is proposed and implemented systematically, which proves that the scheme is feasible, easy to implement, and has the advantages of high scalability and security.
The Implementation of Literary Works for Promoting Student Involvement in Learning English Grammar

Nowadays, every teaching and learning process is supposed to apply a student-centered concept in which the pupils are the center of the process, and they are encouraged to participate actively in the process. Therefore, all education levels have implemented this concept, including the university level. Unfortunately, many pupils are still passive during the teaching process. This phenomenon also appears in the English Language Teaching Department of Universitas Nahdlatul Ulama Purwokerto. The low participation of the students happens in all classes, including grammar class. Based on the pre-observation process in a grammar class, the average score of student participation was only 58.82%. From seven categories of student participation, two indicators were still 0% called asking a question and giving constructive or positive comments to the teacher or other students. There was also one category that only achieved 41.18%. Besides, the atmosphere was not conducive since some students talked to their classmates and looked quite bored. Based on this condition, the researchers decided to do action research. After doing a literature study, we agreed to use literary works to overcome the problem.&#x0D; The research was done in one cycle that consisted of three meetings. The instruments used for collecting the data were an observation sheet of student participation and a teacher observation sheet. The data gathered were analyzed using simple statistics like percentage and average score, then the analysis presented through diagram and words. The literary works used in this study were a short story, a film script, and a novel. This action research is successful if the percentage of student involvement can achieve 65%. &#x0D; The result reveals that student participation was getting better after the implementation of literary works in the teaching and learning process. In the first action, the average percentage was 69.29 %, then it became 75.89% in the second meeting. In the third act, the student involvement achieved 78.15%. The most impressive finding appeared in the third meeting. Three students asked questions. Asking questions as one of the indicators of participation did not appear in the first and the second meeting. The atmosphere was getting conducive since the implementation of the literary works in the grammar class. In short, this action research is successful in boosting student involvement in grammar class.
The Use of Information Technology in Primary Schools

This article touches upon the prerequisites for the need to use tools and technologies in primary general education that contribute to the independent search for information, the development of skills and abilities to learn. This issue is acute in the conditions of modern reality, which was formed in the last third of the twentieth century, under the influence of information technology. The issues of the advantages of using IT in the classroom as a tool for creating conditions for the implementation of the problem-activity approach and the organization of project activities are considered.
On-Device Spatial Attention Based Sequence Learning Approach for Scene Text Script Identification

Automatic identification of script is an essential component of a multilingual OCR engine. In this paper, we present an efficient, lightweight, real-time and on-device spatial attention based CNN-LSTM network for scene text script identification, feasible for deployment on resource constrained mobile devices. Our network consists of a CNN, equipped with a spatial attention module which helps reduce the spatial distortions present in natural images. This allows the feature extractor to generate rich image representations while ignoring the deformities and thereby, enhancing the performance of this fine grained classification task. The network also employs residue convolutional blocks to build a deep network to focus on the discriminative features of a script. The CNN learns the text feature representation by identifying each character as belonging to a particular script and the long term spatial dependencies within the text are captured using the sequence learning capabilities of the LSTM layers. Combining the spatial attention mechanism with the residue convolutional blocks, we are able to enhance the performance of the baseline CNN to build an end-to-end trainable network for script identification. The experimental results on several standard benchmarks demonstrate the effectiveness of our method. The network achieves competitive accuracy with state-of-the-art methods and is superior in terms of network size, with a total of just 1.1 million parameters and inference time of 2.7 ms.
Partial Policy Iteration for L1-Robust Markov Decision Processes

Robust Markov decision processes (MDPs) allow to compute reliable solutions for dynamic decision problems whose evolution is modeled by rewards and partially-known transition probabilities. Unfortunately, accounting for uncertainty in the transition probabilities significantly increases the computational complexity of solving robust MDPs, which severely limits their scalability. This paper describes new efficient algorithms for solving the common class of robust MDPs with s- and sa-rectangular ambiguity sets defined by weighted $L_1$ norms. We propose partial policy iteration, a new, efficient, flexible, and general policy iteration scheme for robust MDPs. We also propose fast methods for computing the robust Bellman operator in quasi-linear time, nearly matching the linear complexity the non-robust Bellman operator. Our experimental results indicate that the proposed methods are many orders of magnitude faster than the state-of-the-art approach which uses linear programming solvers combined with a robust value iteration.
A Two Phase Optimization Scheme with Efficient Prediction-based Triggering for Virtual Machine Placement in Cloud Datacenters

Cloud services have become one of the most critical IT infrastructures of today offering easy access to multiple services. Virtualization enables multiple clients and enterprises to leverage such cloud services simultaneously in order to optimize the use of resources and reduce the physical systems available. Virtual Machine Placement (VMP) is concerned with selecting appropriate physical machines for each virtual machine request. This work proposed an improved two-phase optimization scheme for the Virtual Machine Placement problem. The considered two-phase optimization scheme incorporated the features and advantages of both online (dynamic) and offline (static) VMP formulations, where a predictive VMPr triggering technique is proposed to decide when to cause a recalculation phase of the placement. Taking into account 400 different scenarios, experimental evaluation was performed against the benchmark research and the results show that the proposed VMPr triggering technique outperforms the benchmark work by achieving a minimum cost function.
Representing and identifying library collection resources in distributed information systems

Evolution of machine-readable formats to represent library information resources in the Internet information space toward the Semantic Web concept is discussed. The possibility for describing resources in library e-catalogs comprehensively and their representation in the Linked Open Data system is analyzed. The significance of resource unique identification for their representation in the Semantic Web information environment is emphasized. The possibility of building unique URI identifiers for library resources based on the ISO standard ones is demonstrated.
Keputusan Pembelian Berdasarkan Desain Dan Kustomisasi Pada Produk Masker (Studi Pada Generasi Milenial Di Masa Pandemik)

Must to use masks during this pandemic directly benefits the mask business in the form of increased mask sales. This condition requires business people to offer masks in addition to functioning as personal protective equipment, they also consider product design and product custom. The goal is to strengthen customers in the decision to buy masks that in addition to their needs, also their interests. In addition, advances in internet technology have made its use increasing. The increase is from the aspect of usage intensity to the level of browsing to internet-based media. The existence of the internet actually makes customers, especially the millennial generation, have more and more information in making purchase decisions, namely for mask products. Therefore, in this study using a quantitative approach with multiple regression analysis. Sampling of 129 millennial generation respondents used the accidental sampling method, namely accidental sampling of prospective respondents met, so that consideration of the suitability of the requirements must be fulfilled. Based on the results of data analysis, it was found that: 1) product design has a positive and significant effect on purchasing decisions; 2) product custom has a positive and significant effect on purchasing decisions; and 3) product design and custom have a positive and significant effect on purchasing decisions.
Computer Aided Diagnosis (CAD) untuk Phonocardiogram (PCG) Berbasis Fast Fourier Tranform

Data from WHO 2015 shows that 70% of deaths in the world are caused by non-infection diseases, 45% are caused by heart and blood vessel disease, namely 17.7 million from 39.5 million deaths. Riset Kesehatan Dasar (Riskesdas) reported that in 2018, there were 15 of 1000 people, or 2,784,064 individuals in Indonesia suffering from heart disease. Symptoms of heart abnormalities often come suddenly. Therefore, early recognition can help to avoid heart attacks. Doctors currently use a heart sound / phonocardiogram (PCG) to assess the performance of the heart using a stethoscope. The PCGâ€™s diagnosis is very influenced by the subjectivity of doctors because of its relatively weak and physical limitations. So that the possibility of a False Positive Result happening is quite high. To minimize this risk, a Computer Aided Diagnosis (CAD) PCG signal was developed. Several studies have proposed a PCG diagnostic method using the wavelet or Welch method and based on Neural Network are more complex. In this study, a simple diagnosis method is proposed so that the computation is easier and faster with good accuracy. The PCG signal is amplified twice, then the Fast Fourier Transform (FFT) process is carried out to obtain the characteristics of the fundamental frequency and max amplitude. The classification stage uses the Multi Layer Perceptron (MLP). From testing of 55 data PCG, the results obtained accuracy of 90%, sensitivity of 80%, PPV of 100% and NPV of 83.33%.&#x0D; Keywords: PCG, CAD, FFT, frekuensi fundamental, classification