Reviewerly/exHarmony huggingface dataset:
Book Data Grouping in the Library Using the K-Means Clustering Method

This study aims to classify the book information contained in the Business Indonesia Polytechnic library. Book grouping is done using the K-Means Clustering method. In this K-means clustering algorithm, the variables used as input are: book id, book title, total loan and copies. The resulting output consists of 3 clusters, namely books that are borrowed most frequently, books that are borrowed frequently, and books that are rarely borrowed. With the use of the K-means clustering method, the final results of the grouping are obtained up to the 6th iteration, where the center point no longer changes and no data moves between clusters. The final results obtained consisted of: members of cluster 1 consisting of 119 book titles, cluster2 of 8 books, and cluster3 of 21 books. From the lending data, the data contained in cluster 3 is the book group with the highest loan amount among the other 2 clusters. In addition, books contained in cluster 3 have the fewest copies. From the results of this data analysis, it can be seen that the book titles contained in cluster 3 are the most recommended books to be added to the Business Indonesia Polytechnic library
Editorial Issue 31.6

Computer Animation and Virtual WorldsVolume 31, Issue 6 e1982 EDITORIAL Editorial Issue 31.6 Nadia Magnenat Thalmann, Nadia Magnenat Thalmann MIRALab, University of Geneva, Geneva, SwitzerlandSearch for more papers by this authorDaniel Thalmann, Corresponding Author Daniel Thalmann daniel.thalmann@epfl.ch École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Correspondence Daniel Thalmann, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. Email: daniel.thalmann@epfl.chSearch for more papers by this author Nadia Magnenat Thalmann, Nadia Magnenat Thalmann MIRALab, University of Geneva, Geneva, SwitzerlandSearch for more papers by this authorDaniel Thalmann, Corresponding Author Daniel Thalmann daniel.thalmann@epfl.ch École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Correspondence Daniel Thalmann, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. Email: daniel.thalmann@epfl.chSearch for more papers by this author First published: 10 December 2020 https://doi.org/10.1002/cav.1982Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume31, Issue6November/December 2020e1982 RelatedInformation
Approaches for short-term photovoltaic energy production forecast in Russian climate conditions

Different techniques for short-term energy production by photovoltaic solar parks (PVSP) were considered taking into account specific features of Russian energy market. Based on theoretical simulation using numerical weather prediction results and experimental data it has been shown, that even for low precision techniques their application allows to improve economics of PVSP’s operation. With a decrease in the forecast error by 1.5–2 times, the economic losses due to the grid dispatch schedule deflection decrease by 5–9 times.
Big Data, Internet Privacy and the Vulnerabilities of the African Regulatory Landscape

Social media generates massive amount of big data from users, the penetration of these platforms in Africa creates meaningful insights around customer needs and behaviour from the data.This helps to create new businesses that rebalance the technology and wealth gap in the continent.With every gigabytes of data generated brings about exploitation of customer data.Data Privacy becomes a focal point of concern.The global approaches to privacy for the users of social media platforms is still evolving but two jurisdictions have set a standard.The European General Data Protection Regulation (GDPR) and the Californian Consumer Privacy Act (CCPA) have provisions that are built on sustaining consumer consent and enabling consumers to be forgotten or have their consented data deleted at their own request.More so the exponential growth of the internet in Africa highlights the explosion of big data and there is a need to study its regulatory approaches in relation to the global best practices symbolized by the GDPR and the CCPA.The Paper reviews the African regulatory landscape and its approach to Big Data and possible vulnerable angles that exposes data of Africans on these social media platforms.It is clear that in spite of a continental treaty and a reasonable number of African countries with Data Privacy laws, these laws are in most of the countries either not built on strong legal grounds or lack an independent enforcement mechanism.Therefore the African approach leaves a lot of open issues and there is a need for a continental consensus on the best approach that will push through national legislations crept on a unifying continental model.
Research and Practice Analysis on Bilingual Curriculum Construction in Chinese Vocational Colleges

The education modernization in China calls for internationalization, integration and characterization. Based on this, this paper puts forward the research and practice analysis of the construction of bilingual curriculum driven by the comprehensive construction of Chinese high-level vocational colleges and key major clusters with Chinese characteristics.
Variant and Product Line Co-Evolution

Abstract Individual collaborative embedded systems (CESs) in a collaborative system group (CSG) are typically provided by different manufacturers. Variability in such systems is pivotal for deploying a CES in different CSGs and environments. Changing requirements may entail the evolution of a CES. Such changed requirements can be manifold: individual variants of a CES are updated to fix bugs, or the manufacturer changes the entire CES product line to provide new capabilities. Both types of evolution, the variant evolution and the product line evolution, may be performed in parallel. However, neither type of evolution should lead to diverging states of CES variants and the CES product line, otherwise both would be incompatible, it would not be possible to update the CES variants, and it would not be possible to reuse bug fixes of an individual variant for the entire product line. To avoid this divergence, we present an approach for co-evolving variants and product lines, thus ensuring their consistency.
KNN algorithm of early warning system for applied research course

This paper designed a small course early warning system based on KNN algorithm, aimed at students haven’t finished the course of time can be completed by yourself some predict their courses by chance. In this paper, the basic principle of KNN algorithm is briefly introduced, and the course warning system is modified by Manhattan distance with added weights. This paper briefly describes the basic framework of this model and introduces the application of KNN algorithm in this model. Through a large number of basic experimental data to test the training, using figures to show, finally get the curriculum early warning system model, to achieve the effect of curriculum early warning.
Closing the Loop Between Language and Vision for Embodied Agents

Author(s): Wang, Xin | Advisor(s): Wang, William Y.; Wang, Yuan-Fang | Abstract: Grounding natural language onto real-world perception is a fundamental challenge to empower various practical applications that require human-machine communication.This Ph.D. dissertation presents our research thrusts on developing intelligent embodied agents that connect language, vision, and actions. It consists of two major directions towards human-machine communication. First, from visual recognition to cognition, we study using natural language to describe the visual information and express the understanding of the visual world.We show that scalable learning approaches based on semantics and external knowledge can generate coherent, fine-grained, and generalizable visual descriptions.We also investigate the automatic evaluation metrics for language generation, and propose an adversarial reward learning method to overcome their limitations in optimizing the policy for human-like visual storytelling. Besides, we introduce a multilingual dataset for video-and-language research, which goes beyond monolingual language grounding in vision.Second, in order to connect language and vision to actions, we have situated natural language inside interactive environments where communication often occurs.We systematically study the task of vision-language navigation, aiming to associate human commands with visual perception and navigate the 3D world.Then we demonstrate novel methods to tackle generalization and data scarcity issues from various perspectives like counterfactual thinking, transfer learning, multitask learning and agnostic learning. Our efforts shed light on generalizing embodied navigation agents to more challenging and practical scenarios.Finally, we summarize the strengths, weaknesses, and implications of our work, and discuss the future research plan of pushing embodied AI research further.
PENERAPAN APLIKASI PELAYANAN SEWA MOBIL DI KOTA SUBUSSALAM BERBASIS ANDROID

With the design of a car rental service application based on Android, it makes it easier for consumers to make car reservations. Nowadays information media with technology support is needed, especially with Information technology is increasingly modern, the easier it is for each company to exchange information. Technological developments can be felt with more and more website-based services that make it easier for parties companies and customers only connected to a computer network or internet media. In the past, information and communication was carried out Simply put, with the support of this modern information media a lot The company's management system has been supported by a website-based application. The development and construction of a new system can improve the company's performance in the car rental or rental process, namely the new system which is supported and designed specifically for car rental process management. With Android smartphone media, customers don't have to bother coming directly, simply by connecting via a network connection the order can accepted by the company. For employees, it can automatically register because has been supported by computerized database media to present reports and data entry
CHALLENGES OF TEACHING ENGLISH WITH ITS FOUR LANGUAGE SKILLS IN A RURAL SCHOOL OF WEST KALIMANTAN

Teaching in rural area is somehow challenging due to geographic and distance challenges, limited internet access, insufficient school facilities, and students‘ low proficiency level. The challenges occur in the teaching English as well, especially in teaching four language skills. This study attempted to investigate the challenges in teaching four language skills in English class of a rural school, precisely at SMP Negeri 3 Ambalau, Sintang Regency. The research method used in this research wasdescriptive qualitative method. The data were gained through questionnaire and a set of English test for student participants, direct field observation, and teaching reflection. The participants were 37 students of 8 th grade of SMP Negeri 3 Ambalau. The findings showed that the average of students‘ proficiency level were low in every skill. The data from the questionnaire showed particular problems faced by the students which caused their low performance in English class. 72% students found that they had difficulties in comprehending and applying English structure. Furthermore, students‘ concentration span were considered low. 54% of them found that they couldn‘t concentrate well in English class. The teaching reflection and questionnaire showed some challenges to come up in to alternative solutions in teaching four language skills in English class. The challenges are: only limited students possess English dictionary; students‘ low concentration, the lack of students‘ participation in additional English class, and the lack of supporting school‘s facility.
PIN145 Online- Education in Times of Pandemic a Strategy That Allows Change in Times of Crisis, an Example in Chile.

Promote a change in the participating students and communities to address the emerging health problem associated with the pandemic through online-education. Research-action design based on the socio-critical paradigm (based on Habermas Theory of Knowledge). Sample for convenience, 618 nursing students, fourth and fifth year, and 700 people from different communities. In the first stage, students acquire knowledge associated with the new international and national health reality, certified and evaluated. The second stage, transfer of knowledge to the participating communities based on a need felt by them. The strategy is online-education to 6 groups of communities in Santiago, Concepción, and Viña del Mar. 97% (780) of students are trained as planned, achieving 100% of learning outcomes. In the second stage, synchronous online-education is carried out by fourth-year students, reaching participation of 90.7% (620) of participants, corresponding to 430 soldiers, 20 gendarmes, 15 persons deprived of liberty, 63 health workers, 52 elderly domestic workers, and 40 municipal workers. In the technical field, new personal protection measures are implemented in the communities; in the practical part, they are taught the correct procedure for handwashing, and from the emancipatory point of view, they return knowledge through questions and answers. Participants report an acceptance level of this activity equal to 96%. The new pandemic scenario generates the need to continue the teaching-learning process at the university level. The social role of nursing motivates linking with the environment to respond to the needs of the community. The reality of student learning is reconstructed, responding to a need for the new social context associated with the pandemic, with a high degree of satisfaction from the participants.
Unmasking blockchain in supply chains

Today, blockchain is frequently subject to collective eye-rolling. And with good reason. Who doesn’t immediately associate blockchain with the cryptocurrency bitcoin, which has its own curious providence.Bitcoin was created in 2009 by an unknown person or group of persons. And while a paper from Satoshi Nakamoto is attributed with being the first on bitcoin, no one knows who Nakamoto is.Bitcoin went through some changes in “ownership” early on, which did little to make the cryptocurrency more transparent despite its consistent reliance on blockchain technology to track and secure transactions. Meanwhile, the value of one bitcoin has ranged from 30 cents to nearly $20,000. As a result, there is wide disagreement from bank CEOs to investors as to the usefulness of bitcoin as a cryptocurrency. Some go so far as to call it a scam.Most unfortunately, the word clarity is not always associated with bitcoin. And blockchain suffers to an extent from guilt by association. And that is part of blockchain’s current image problem. Any marketing person would tell you that blockchain the brand needs a major repositioning.Some of that process is happening now as a result of successful and practical initiatives in finance, trade and real estate demonstrate the value of blockchain with regards to transaction governance. In addition, supply chain management, especially purchasing and logistics, is beginning to prove the value of the technology to these complex activities.That said, we wanted to know more precisely what is holding back blockchain in supply chain. So, we surveyed 115 Swiss shippers and logistics service providers of all sizes in late 2019. Forty-eight percent of respondents are at companies with more than 100 employees with nearly half of that at companies with more than 1,000 employees. More than 40% of the companies have revenues of $51 million plus. The survey is part of an annual survey done by the Institute of Supply Chain Management at the University of St. Gallen on the logistics market in Switzerland.
Persistent beating in coupled parametric oscillators - new coherent dynamics beyond Ising spins

Coupled parametric oscillators were recently employed as simulators of artificial Ising networks, with the potential to solve computationally hard minimization problems. We demonstrate a new dynamical regime within the simplest network—two coupled parametric oscillators, where the oscillators never reach a steady state, but show persistent, full-scale, coherent beats, whose frequency reflects the coupling properties and strength. We present a detailed theoretical and experimental study and show that this new dynamical regime appears over a wide range of parameters near the oscillation threshold and depends on the nature of the coupling (dissipative or energy preserving). Thus, a system of coupled parametric oscillators transcends the Ising description and manifests unique coherent dynamics, which may have important implications for coherent computation machines.
LINGUISTICS MODIFICATIONS IN TEACHER TALK IN ENGLISH FOR MEDICAL PURPOSES CLASSROOM

This study aims to investigate linguistics modification in teacher’s discourse in an English for medical purposes (EMP) classroom at one of the medical colleges in Saudi Arabia. Linguistic modification in teacher’s talk is essential part of classroom interaction as it facilitates students’ understanding by reducing complexity of syntactic structures and the use of familiar structures and words. Data in this study were collected through classroom observation and informal chats with the teacher. 15 classroom observations were carried out during the First Semester of the academic year 2019/2020. When necessary, informal chats with the teacher took place at the end of observation session to get further clarification of what had happened in the classroom.  The teacher talk can be described as having high frequency of self-repetition, exaggerated pronunciation, slower rate of speech, avoiding contractions, use of short sentences and phrases, paraphrasing, avoiding idioms and unfamiliar words, and pausing were marked in teacher talk. Phonological, semantic and syntactic modifications in teacher talk ensured input comprehensibility, avoided confusion and encouraged classroom participation. This study concludes that linguistic modifications in teacher talk are necessary to ensure input comprehensibility and support students’ engagement in classroom interactions.  Keywords: Classroom interaction, discourse analysis, English for medical purposes, linguistic modification, teacher talk.     Cite as: Al-smadi, O.A., Yassin, B., &Al-Bataineh, K.B. (2020). Linguistics modifications in teacher talk in English for medical purposes classroom. Trends in Social Sciences, 2(2), 10-22.
Pengaruh Game Online Terhadap Motivasi Belajar Belajar Peserta didik di SMK TERPADU AL MUSTAQIM TIMPIK Kecamatan Sususkan Kabupaten Semarang

Nowadays, the issue regarding the effect of online games on student motivation at SMK Terpadu Al Mustaqim Timpik is interesting to examine. This study aims to describe the effect of online games on student learning motivation. This descriptive study took 50 online games for students at SMK Terpadu Al Mustaqim Timpik. Data was collected through a distributed research questionnaire that matched the criteria, namely active users of online games. In this study using quantitative research. The data analysis technique used in this research is using the SPSS software program for Windows Realease version 20.0 to process statistical data. The results of the study indicate that there is a motive that is the driving force for playing online games for students at SMK Terpadu Al Mustaqim Timpik. The tendency of online game players to experience addiction symptoms when viewed from the intensity and frequency of playing more than an average of 5 days a week and playing for more than an average of 5 hours a day, it is concluded that the addiction experienced by online game players reaches the maniac game stage for students. at SMK Terpadu Al Mustaqim Timpik.
Multitask Learning with Local Attention for Tibetan Speech Recognition

In this paper, we propose to incorporate the local attention in WaveNet-CTC to improve the performance of Tibetan speech recognition in multitask learning. With an increase in task number, such as simultaneous Tibetan speech content recognition, dialect identification, and speaker recognition, the accuracy rate of a single WaveNet-CTC decreases on speech recognition. Inspired by the attention mechanism, we introduce the local attention to automatically tune the weights of feature frames in a window and pay different attention on context information for multitask learning. The experimental results show that our method improves the accuracies of speech recognition for all Tibetan dialects in three-task learning, compared with the baseline model. Furthermore, our method significantly improves the accuracy for low-resource dialect by 5.11% against the specific-dialect model.
Clustering Biblical Texts Using Re-current Neural Networks

This study examines linguistic variation within Biblical Hebrew by using Recurrent Neural Networks (RNNs) to detect differences and cluster the Old Testament books accordingly. Various linguistic features are analysed that are traditionally considered to be of importance in analysing linguistic variation. The traditional division of books as either Early Biblical Hebrew or Late Biblical Hebrew is hereby put to the test. Results show that RNNs are a fitting method for analysing the (morpho)syntax of a language. The model works well on both separate features, as well as all the features combined. On the basis of the results the RNNs provide, we propose that the diachronic approach to Biblical Hebrew is indeed plausible. The clusters generally hint to the scholarly division made in the diachronic approach to linguistic variation.
Solving the Search-LWE Problem by Lattice Reduction over Projected Bases

The learningNakamura, Satoshi withTateiwa, Nariaki errors (LWE) problemKinjo, Koha assuresIkematsu, Yasuhiko the security of modern lattice-based cryptosystems. It can be reduced to classical latticeYasuda, Masaya problemsFujisawa, Katsuki such as the shortest vector problem (SVP) and the closest vector problem (CVP). In particular, the search-LWE problem is reduced to a particular case of SVP by Kannan’s embedding technique. Lattice basis reduction is a mandatory tool to solve lattice problems. In this paper, we give a new strategy to solve the search-LWE problem by lattice reduction over projected bases. Compared with a conventional method of reducing a whole lattice basis, our strategy reduces only a part of the basis and, hence, it gives a practical speed-up in solving the problem. We also develop a reduction algorithm for a projected basis, and apply it to solving several instances in the LWE challenge, which has been initiated since the middle of 2016 in order to assess the hardness of the LWE problem.