Reviewerly/exHarmony huggingface dataset:
Implementasi Sistem Informasi Penerimaan Siswa Baru Pada SMK / SMA Yapim Taruna Marelan Berbasis Web

&lt;p&gt;&lt;em&gt;PSB is one of the administrative processes that will be used by prospective students every year. Acceptance of prospective students is based on the criteria obtained when graduating from SMP / MA, Prospective students referred to are new students who will register at the SMK / SMA level. The problem is that prospective students from outside the area also find it difficult to register because they have to go to school first, where it is very time-consuming and requires a lot of money. In research and system testing, it is carried out with several methods, namely field research, library research and laboratory research. Field research was carried out by direct observation to SMK / SMA Yapim Taruna Marelan, so that the working mechanism of the existing system was known. Literature research is done by studying books that can add to the study of science for this system and research. Whereas laboratory research is carried out by creating a web-based PSB. The benefits of this research can improve the quality of SMK / SMA Yapim Taruna Marelan in the admission of new students and the increasing number of students each year.&lt;/em&gt;&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; acceptance of new students, psb&lt;/em&gt;&lt;/p&gt;
The Study on Oversampling-Based Anomaly Detection in Blockchain Network

Despite the characteristics of reliable blockchain, there are an increasing trend of anomalies in its network. Recent crime reports show that bitcoins can be used in illegal transactions such as drug trafficking, money laundering and frauds. Thus, it is crucial to detect illegal transactions earlier to secure credibility of blockchain network. We extracted features from both each users and their transactions after building a database. In particular, transaction data are of a network structure, so features are extracted using the network analysis. Owing to unbalance property of the transaction data, the borderline SMOTE is used as the oversampling method. Finally, the analysis and comparison are performed using support vector machine (SVM), random forest (RF), XGBoost, and logistic regression to evaluate their performances. We apply the proposed method to the real data set of bitcoin transaction data, and find that XGBoost shows the best performance in detecting anomal transactions. The proposed oversampling-based methods show a potential in detecting anomal transactions earlier.
THE REAL CLASSROOM LAB: A METHOD FOR BUILDING DIGITAL COMPETENCE WITH SCHOOLS AS TEST BEDS FOR INNOVATIVE TECHNOLOGIES

The “Real Classroom Lab” (RCL) is an innovative initiative for building teachers’ digital competence by inviting companies to try out new educational technologies together with real teachers and st ...
Between analogue past and digital present, The Sports Almanac: A didactic proposal for the History of Sport

Laboratory didactic activity with the active involvement of students, no longer seen as passive recipients of a top-down knowledge but as active protagonists of the training moment and the opportunities offered by the digital world, are the starting point of this didactic experience aimed at creating a photographic almanac, in which the sports performance or event is analyzed in the light of a larger and more complex picture of historical events.Thus the student is encouraged to experiment with a new narrative mode, use a new source, read critically and learn no longer according to a sterile memorization, but by developing specific skills.
Correction to: Point the Point: Uyghur Morphological Segmentation Using PointerNetwork with GRU

The original version of this chapter contained an error in the second author's name. The spelling of Shuqin Li's name was incorrect in the header of the paper. The author's name has been corrected.
Empowering indigenous communities in India through the use of design thinking methods

Paper published by UKRI for ESRC/AHRC GCRF Indigenous Engagement programme, available at https://www.ukri.org/news/esrc-ahrc-gcrf-indigenous-engagement-programme/
Analysis of the supporting head fracture of a lifting mechanism

This paper introduces the working principle of a lifting mechanism and analyzes the end factors of the fault using the fault tree analysis method [1] . This paper also conducts strength analysis and physical and chemical analysis of the fractured supporting head, and determines that the cracks generated on the component surface due to the defect is the main cause of the supporting head fracture. Based on this, this paper proposes relevant solutions to improve the safety of the lifting mechanism.
Cory Stewart & Mdl Chld – «Poison»

Yesterday, Canadian singer-songwriter Cory Stewart has dropped «Poison», the lead single from his upcoming full length album, due later this year.
OAuth 2.0 Security

OAuth 2.0 is an authorization framework, as you know already. Being a framework, it gives multiple options for application developers. It is up to the application developers to pick the right options based on their use cases and how they want to use OAuth 2.0. There are few guideline documents to help you use OAuth 2.0 in a secure way. OAuth 2.0 Threat Model and Security Considerations (RFC 6819) produced by OAuth IETF working group defines additional security considerations for OAuth 2.0, beyond those in the OAuth 2.0 specification, based on a comprehensive threat model. Then, the OAuth 2.0 Security Best Current Practice document, which is a draft proposal at the time of writing, talks about new threats related to OAuth 2.0, since the RFC 6819 was published. Also, the Financial-grade API (FAPI) working group under OpenID foundation has published a set of guidelines on how to use OAuth 2.0 in a secure way to build financial grade applications. In this chapter, we go through a set of possible attacks against OAuth 2.0 and how to mitigate those.
LibGuides: UBorrow Guide: Switching between ILL Units

This guide is the beginnings of comprehensive information about UBorrow and the AlephILL client.
PENINGKATAN KETERAMPILAN MEMAHAMI INFORMASI TEKS NONFIKSI MENGGUNAKAN METODE PQ4R PADA SISWA KELAS IV SD N GONDOLAYU

The purpose of this research (1) to describe the improvement in understanding skills non-fiction text information using the PQ4R method and (2) to describe the activity in 4th- grade students of SDN Gondolayu participating in learning using the PQ4R method. The type of this research is Classroom Action Research (CAR) that consists of two cycles. The result of this research indicates (1) understanding skills non-fiction text information on pre-action get an average 11,05. In the first cycle, the average score of students increases 12,50 and second cycle the average score of students increases 15,05. (2) student activities increase in each cycle. This can be seen in first cycle observation get an average of 25,78 and increased in second cycle observation 29,63. Based on the result of the research, it can be concluded that PQ4R method can improve activities and understanding skills non-fiction text information in 4th- grade students of SDN Gondolayu.
La génération automatique de poésie en français

La generation automatique de poesie est une tâche ardue pour un systeme informatique. Pour qu'un poeme ait du sens, il est important de prendre en compte a la fois des aspects linguistiques et litteraires. Ces dernieres annees, un certain nombre d'approches fructueuses sont apparues, capables de modeliser de maniere adequate divers aspects du langage naturel. En particulier, les modeles de langue bases sur les reseaux de neurones ont ameliore l'etat de l'art par rapport a la modelisation predictive de langage, tandis que les topic models sont capables de capturer une certaine coherence thematique. Dans cet article, on explorera comment ces approches peuvent etre adaptees et combinees afin de modeliser les aspects linguistiques et litteraires necessaires pour la generation de poesie. Le systeme est exclusivement entraine sur des textes generiques, et sa sortie est contrainte afin de conferer un caractere poetique au vers genere. Le cadre presente est applique a la generation de poemes en francais, et evalue a l'aide d'une evaluation humaine. ABSTRACT Automatic Poetry Generation in French Automatic poetry generation is a challenging task for a computational system. For a poem to be meaningful, both linguistic and literary aspects need to be taken into account. In the last few years, a number of successful approaches have emerged that are able to adequately model various aspects of natural language. Particularly, language models based on neural networks have improved the state of the art with regard to predictive language modeling, while topic models are able to capture some form of thematic coherence. In this article, we will explore how these approaches can be adapted and combined to model the linguistic and literary aspects needed for poetry generation. The system is exclusively trained on generic text, and its output is constrained in order to confer a poetic character to the generated verse. The framework is applied to the generation of poems in French, and it is evaluated using a human evaluation. MOTS-CLES : generation de poesie, reseaux de neurones, factorisation en matrices non-negatives.
A Sound Algorithm for Asynchronous Session Subtyping and its Implementation.

Session types, types for structuring communication between endpoints in distributed systems, are recently being integrated into mainstream programming languages. In practice, a very important notion for dealing with such types is that of subtyping, since it allows for typing larger classes of system, where a program has not precisely the expected behaviour but a similar one. Unfortunately, recent work has shown that subtyping for session types in an asynchronous setting is undecidable. To cope with this negative result, the only approaches we are aware of either restrict the syntax of session types or limit communication (by considering forms of bounded asynchrony). Both approaches are too restrictive in practice, hence we proceed differently by presenting an algorithm for checking subtyping which is sound, but not complete (in some cases it terminates without returning a decisive verdict). The algorithm is based on a tree representation of the coinductive definition of asynchronous subtyping; this tree could be infinite, and the algorithm checks for the presence of finite witnesses of infinite successful subtrees. Furthermore, we provide a tool that implements our algorithm. We use this tool to test our algorithm on many examples that cannot be managed with the previous approaches, and to provide an empirical evaluation of the time and space cost of the algorithm.
Motivación académica por el uso de la plataforma NetAcad en estudiantes de asignaturas de redes de computadoras en educación superior

espanolEn los ultimos anos es mas comun el uso de plataformas virtuales para fortalecer el proceso de ensenanza-aprendizaje. Existen plataformas donde se divulgan diversas areas de conocimiento, algunas son de pago y otras son gratuitas, ademas existen algunas otras que son configuradas por el usuario como es el caso de Moodle. El objetivo central de este estudio es analizar el tipo de motivacion de los alumnos del Instituto Tecnologico de Durango en el uso de la plataforma Cisco Networking Academy (NetAcad) en asignaturas relacionadas al area de redes de computadoras. Para este fin se desarrollo el instrumento “Escala de motivacion academica uso de plataforma NetAcad (EMA-ACAD)”. El estudio se realizo bajo un enfoque cuantitativo, con diseno no experimental, transversal y descriptivo. Los resultados obtenidos muestran que los alumnos tienen una elevada motivacion intrinseca hacia el uso de la plataforma y de la misma forma pero en menor medida una motivacion extrinseca. Mientras que la desmotivacion es muy poca a casi nula. EnglishIn recent years, it is more common to use virtual platforms to strengthen the teaching-learning process. There are platforms where various areas of knowledge are disclosed, some are paid and others are free, in addition there are some others that are configured by the user as is the case of Moodle. The main objective of this study is to analyze the type of motivation of the students of the Instituto Tecnologico de Durango in the use of the Cisco Networking Academy platform (NetAcad) in subjects related to the area of computer networks. For this purpose, the instrument Academic motivation scale using the NetAcad platform (EMA-ACAD) was developed. The study was carried out under a quantitative approach, with a non-experimental, transversal and descriptive design. The obtained results show that the students have a high intrinsic motivation towards the use of the platform and in the same way but to a lesser extent an extrinsic motivation. While the demotivation is very little to almost nil.
A Study of Cho Se-rim’s Poems

Poet Cho Se-rim was from Jusil Village in Youngyang county. Under the Japanese colonial regime, the village overcame the limitations of past traditions and experienced a process of enlightenment. In the village tradition, Jo Se-rim grew up during a village crisis when the Gregorian tax was imposed on the village and the rite was simplified. At a young age, he organized the boys of the village into a youth association to perform a small-scale drama with the boys in the village and sing children
THINKING SKILLS ASSESSMENTS FOR HIGH-STAKES SELECTION

Appears in: ICERI2019 Proceedings Publication year: 2019Page: 10421ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2551Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
A Case Study on the Improvement of English Speaking Ability Using American Drama

The purpose of this paper is to explore potential influences of using multimedia resources on the improvement of speaking ability, suprasegmentals of speech in particular. In order to accomplish this purpose, this study conducts a qualitative and quantitative analysis of 19 university students’ experiences in English speaking class that encourages imitation/acting-out of particular scenes from English drama and three-minute speech clips. By employing phonetics analysis software and speaking rating rubric, it examines students’ self-introduction audio files before/after the course. The finding reveals that students learn about intonation, stress, and accent of spoken language in authentic and real-life contexts and acquire a sense of native-like rhythm in their utterances. Furthermore, the result of a comprehensive survey and semi-structured interview shows that students experience acting-out of video clips as interesting and motivational, lowering their affective filters in speaking English. In short, this paper suggests a new direction towards using multimedia and its theatrical potential in English language education.
A QUALITATIVE STUDY ON THE DELIBERATE PRACTICE OF EXPERTISE DEVELOPMENT PROCESS OF SKILLED-TALENTS IN NUMERICAL CONTROL

A QUALITATIVE STUDY ON THE DELIBERATE PRACTICE OF EXPERTISE DEVELOPMENT PROCESS OF SKILLED-TALENTS IN NUMERICAL CONTROL
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems

Recent advances in text-to-speech (TTS) led to the development of flexible multi-speaker end-to-end TTS systems. We extend state-of-the-art attention-based automatic speech recognition (ASR) systems with synthetic audio generated by a TTS system trained only on the ASR corpora itself. ASR and TTS systems are built separately to show that text-only data can be used to enhance existing end-to-end ASR systems without the necessity of parameter or architecture changes. We compare our method with language model integration of the same text data and with simple data augmentation methods like SpecAugment and show that performance improvements are mostly independent. We achieve improvements of up to 33% relative in word-error-rate (WER) over a strong baseline with data-augmentation in a low-resource environment (LibriSpeech-100h), closing the gap to a comparable oracle experiment by more than 50\%. We also show improvements of up to 5% relative WER over our most recent ASR baseline on LibriSpeech-960h.
Protection the Data Banks in State Critical Information Infrastructure Organizations

Most state critical information infrastructure organizations have special data banks that contain confidential intelligence structures. This applies primarily to power supply companies, chemical enterprises, medical support and environmental monitoring organizations, science centers etc. Wherein storing data refer to personal information and state secret information. Defence of these data banks is state level strategic objective.
Similarity: Does Interactive Whiteboard Use in Public Policy Courses Improve Learning Outcomes?

Interactive Whiteboard is a touch screen panel that functions as a computer projector screen that can control images on a computer by touching the panel surface without using a mouse or keyboard. Research using the Interactive Whiteboard aims to shape motivation and a good learning atmosphere.This research includes types of R & D (research and development) and uses the development used by Borg and Gall. Based on expert validators for general aspects of the material got 90.0%, for the presentation of learning obtained 96.7% and for the feasibility of language obtained 96.8%. The average rating for Interactive Whiteboard media was 94.5%. It has received a very good response from students and lecturers at Universitas PGRI Semarang of 85.5% and IKIP Veteran Semarang at 86.0% in the use of Interactive Whiteboard media. The results of the pre-test and post-test scores of the students of Civic at Universitas PGRI Semarang showed that there was a difference between the mean value of the pre-test and the average value of the post-test, namely the average pre-test score of 70,3103 and the average value post test is 72,051. The results of the pre-test and post-test scores of the students of Civic at IKIP Veteran Semarang showed that there was a difference between the average pre-test score and the average post-test score. This is shown through the average pre-test value of 63.6842 and the average post-test value of 68.9474
Ten talent trends for 2019

Balancing automation with human workers, the impact of chatbots on an employment brand and a widening talent mismatch are among the trends that will shape the recruitment market in 2019.
Towards Latent Space Optimality for Auto-Encoder Based Generative Models

The field of neural generative models is dominated by the highly successful Generative Adversarial Networks (GANs) despite their challenges, such as training instability and mode collapse. Auto-Encoders (AE) with regularized latent space provides an alternative framework for generative models, albeit their performance levels have not reached that of GANs. In this work, we identify one of the causes for the under-performance of AE-based models and propose a remedial measure. Specifically, we hypothesize that the dimensionality of the AE model's latent space has a critical effect on the quality of the generated data. Under the assumption that nature generates data by sampling from a true generative latent space followed by a deterministic non-linearity, we show that the optimal performance is obtained when the dimensionality of the latent space of the AE-model matches with that of the true generative latent space. Further, we propose an algorithm called the Latent Masked Generative Auto-Encoder (LMGAE), in which the dimensionality of the model's latent space is brought closer to that of the true generative latent space, via a novel procedure to mask the spurious latent dimensions. We demonstrate through experiments on synthetic and several real-world datasets that the proposed formulation yields generation quality that is better than the state-of-the-art AE-based generative models and is comparable to that of GANs.
Human Corruption as The Effect of Modern Technology as Represented in Okky Madasari's "The Last Crowd"

Modern technology plays big roles in influencing human life, especially millenial generation. However , it can create human corruption due to its function abuse. The objectives of this study are: 1) to explain how human corruption is described in Okky Madasari’s The Last Crowd and 2) to explain how the modern technology creates human corruption as described in Okky Madasari’s The Last Crowd. The methodology used in this study was descriptive-qualitative. This study analyzed the novel using Levi Strauss’ theory. There were two objects of the study, namely material object which was The Last Crowd novel and formal object from the analysis of the novel using Levi Strauss’ theory. The results of the study are as follows: 1) Human Corruption was described in Okky Madasari’s The Last Crowd through how the characters in the novel use modern technology unwise until it has a bad effect. Human corruption is divided into three kinds of corruption; corruption in time, corruption in function and corruption in behavior. 2) Human Corruption is created due to the influence of technology towards Jayanegara, which triggers him to be trapped in it. It shows when he decides to make a pseudo-identity for being a winner and a revenger.&#x0D; &#x0D; Keywords: Human Corruption; Modern Technology; Structuralism
Rachel Fewster: Recipient of NZSA Campbell Award 2018

A lucky chance encounter for statistical science in NZ.
Retrieval performance of select search engines in the field of physical sciences

The study aims to provide a systematic evaluation of the search engines on the basis of two information retrieval parameters (precision and relative recall) with reference to physical sciences. It employed ‘Web of Science’ to identify data (one to three word queries) of highly ranked authors who have contributed to the discipline of physical sciences. The three English language search engines (Google, Yahoo and Bing) were selected on the basis of ranking of ‘Alexa’ (Actionable Analytics for the Web). The study reveals that in all (one, two and three word) queries ‘Google’ obtained highest precision and relative recall followed by ‘Yahoo’ and ‘Bing’. It further shows that ‘Google’ and ‘Yahoo’ achieve the highest ‘precision’ and ‘relative recall’ due to their wide coverage. Bing once prominent one, however lags behind in retrieval effectiveness.