Reviewerly/exHarmony huggingface dataset:
FOREIGN LANGUAGE TEACHING METHOD

There are various teaching methods when teaching a foreign language, it is necessary to pay attention to new ways to stimulate the speech of students. However, numerous classical schools still try to teach by the old methods and from the old books. There will always be problems, and you will never speak the foreign language well. By using new methods, it is easy to learn to speak English and improve at it. You will be able to speak like a native speaker.
Hacktivism Sebagai Upaya Menyampaikan Suara Lewat Ruang Siber Di Indonesia

Abstract— Hacktivism is becoming a trend that is being loved globally. The hacktivism trend was born at the same time as the information technology revolution, especially when people became increasingly dependent on smartphones and the internet. This has more or less affected aspects of cybersecurity in various countries. Because generally hacktivism appears with socio-political motives. Many countries have made cybersecurity one thing to study before deciding to cooperate with other countries. Also for Indonesia, cybersecurity has become an important factor in seeing national security. Several popular issues have shown that hacktivism has become a trend in Indonesia as well. Keywords—: Hacktivism; Hacktivist; Cybersecurity; hackers; social politics.
Dynamic Alumni Monitoring with Decision Support System

The present study focuses on gathering a real-time data on the employability of graduates. The web-based Dynamic Alumni Monitoring with Decision Support System is developed and linked to the institution’s website to gather alumni information. To realize the objective of this study, the agile method research design process is utilized. The agile methodology is a project management technique in software development process. The system has the capacity to monitor the graduates. It provides alumni verifications and confirmation after the pre-registration. The system has a platform in maintaining alumni data and notifications to periodically update the graduates’ profiles anytime and anywhere. The system has the capacity to make updates concerning alumni activities of the University. These are sent through their registered email addresses. Likewise, the system generates important reports needed by the school and its administrators.
Aggregatable Distributed Key Generation

In this paper, we introduce a distributed key generation (DKG) protocol with aggregatable and publicly-verifiable transcripts. Compared with prior publicly-verifiable approaches, our DKG reduces the size of the final transcript and the time to verify it from O(n2) to O(nlog(n)), where n denotes the number of parties. As compared with prior non-publicly-verifiable approaches, our DKG leverages gossip rather than all-to-all communication to reduce verification and communication complexity. We also revisit existing DKG security definitions, which are quite strong, and propose new and natural relaxations. As a result, we can prove the security of our aggregatable DKG as well as that of several existing DKGs, including the popular Pedersen variant. We show that, under these new definitions, these existing DKGs can be used to yield secure threshold variants of popular cryptosystems such as El-Gamal encryption and BLS signatures. We also prove that our DKG can be securely combined with a new efficient verifiable unpredictable function (VUF), whose security we prove in the random oracle model. % Finally, we experimentally evaluate our DKG and show that the per-party overheads scale linearly and are practical. For 64 parties, it takes 71ms to share and 359ms to verify the overall transcript, while for 8192 parties, it takes 8s and 42.2s respectively.
LANGUAGE SHIFT AND HERITAGE LANGUAGE MAINTENANCE AMONG INDONESIAN YOUNG GENERATIONS: A CASE STUDY OF PAMULANG UNIVERSITY STUDENTS

This paper aims to analyze language shift and heritage language maintenance among Indonesian young generation, a case study of Pamulang University students. Based on that purpose, this study conducted some research in analyzing effort to maintain the heritage language, analyzing the strategy used in maintaining heritage language, and identifying factors contribute to language loss among students. The study used a descriptive qualitative research design approach involving an open-ended questionnaire consisted of open-ended questions. The result of this study revealed that even though they live on a small scale of their native community, yet, they can maintain their local language. Thus, it can not be denied that youth people tend to shift the language due to globalization and the embracing of technology. In conclusion, it can be inferred that most students of Unpam use their local language and Bahasa Indonesia at the same level. Many of them still use local language when communicating with their parents and family members around them as well as Bahasa Indonesia. Suek suggested a solution to this problem that the community should be related to the use of language and attitudes in which mostly happen in school and family. It is hoped when children get used to a local language, they will also become aware of how important the native language as showing their identity in their environment and nationality. Keywords: Language Shift, Language Maintenance, Heritage Language, Language Preservation.
Uncertain Ontology Embeddings

Ontologies are an expressive power used as a crucial element to enrich knowledge graphs by their rich data and ontological concepts that are often necessary for logical inference. Recently, ontology embedding has gained increasing attention in real-world ontologies for its ability to learn sub-sumption axioms, unary and binary assertions in these ontologies, while maintaining some syntactic, semantic properties and deductive closures. In general, learning methods assume an ontology to be complete while there are different situations in which it can be excepted to be uncertain, for example when they are provided by human annotators in classification, or even missing. However, embedding such uncertain ontologies is typically ignored. In this paper, we propose a novel embedding approach, UOE, which can embed uncertain lightweight ontology encoded in DL-lite in order to better capture the relationships between the uncertainty and the ontologies in the semantic space. Experimental results show that our model can robustly learn representations of uncertain ontologies when evaluated on publicly available datasets used on machine learning benchmarks.
Visitare la follia. L'ospedale psichiatrico come meta turistica

In Italy, psychiatric hospitals are undergoing a new phase of recovery and planning. Their closure in the decades following Law 180 (1978) resulted in the abandonment and often the degradation of impressive architectural complexes. Many of them have been recovered and today it is possible to visit some institutes and, sometimes, the museum they contain: psychiatric hospitals are becoming tourist destinations. The objectives of this work are: to verify if asylums can be considered as possible locations for a particular European Dark Tourism; to test the idea of ​​preserving a material heritage – architectural structures and objects from the history of psychiatry – and an intangible heritage. The research path includes the recognition of the asylum population that has seen disadvantaged social classes subject to “invisible migration” towards asylums in the late nineteenth and mid-twentieth centuries. The case of the Laboratory of the Mind Museum of the former psychiatric hospital of S. Maria della Pieta in Rome is presented as an example of an innovative form of conservation that is both training in and knowledge of psychiatric history in Italy.
Test the Task in Azure Data Factory

In the previous chapter, we provisioned an Azure SQL Database, an Azure Data Factory, a storage account and deployment container, and an Azure-SSIS integration runtime. In this chapter, we test Execute Catalog Package Task functionality in Azure Data Factory by
The Seven Habits of Highly Effective Security

In our experience, managing security effectively takes not only the right mindset but the right habits, practiced regularly. For instance, some organizations (and to an extent basic human nature) are reactive, and in the case of cybersecurity, it often gets more attention after a recent incident or breach. With cybersecurity, there are always new and evolving threats. Organizations that lose focus, becoming lax in applying the right habits regularly, can more easily fall prey to attackers and even a public breach. The contrary is also true—by applying the right habits regularly, an organization can continually minimize the probability of a breach.
An Extension of Encryption-Inspired Adversarial Defense with Secret Keys against Adversarial Examples

Recently, encryption-inspired block-wise image transformation with a secret key was proposed to defend against adversarial examples. The adversarial defense was also demonstrated to outperform state-of-the-art defenses. In this work, we first extend the block-wise image transformation for increasing its key space by using additional transformation steps. Moreover, the extended defense is extensively evaluated in terms of robustness against various attacks under a number of metrics. We also conduct adaptive attacks with key estimation. In an experiment, the extended defense is confirmed not only to increases the key space, but also to improve the performance accuracy, while maintaining the overall accuracy close to a non-robust model. The evaluation results also suggest that the extended defense is robust against both non-adaptive and adaptive attacks as long as its keys are secret. Furthermore, the extended defense is confirmed to outperform state-of-the-art adversarial defenses with the noise distance of 8/255 on CIFAR-10 dataset.
A way to Calibrate a Colour Texture Feature

Several colour descriptors are presented each year. The existing protocols to evaluate and compare these descriptors are restricted to the use of image databases without information about the spatio-chromatic content. In this article, we present a first answer to calibrate a colour texture descriptor. By calibration, we intend evaluate the capacity of the descriptor to discriminate the non-uniform aspect according to different scales of samples. In order to assess all the possibilities in term of spatial frequencies and colour content, we propose to use reference images based on a fractal vector colour model. Three texture features are compared from this protocol allowing to express the interest of the proposed calibration sequence.
Online Speaker Adaptation for WaveNet-based Neural Vocoders

In this paper, we propose an online speaker adaptation method for WaveNet-based neural vocoders in order to improve their performance on speaker-independent waveform generation. In this method, a speaker encoder is first constructed using a large speaker-verification dataset which can extract a speaker embedding vector from an utterance pronounced by an arbitrary speaker. At the training stage, a speaker-aware WaveNet vocoder is then built using a multi-speaker dataset which adopts both acoustic feature sequences and speaker embedding vectors as conditions. At the generation stage, we first feed the acoustic feature sequence from a test speaker into the speaker encoder to obtain the speaker embedding vector of the utterance. Then, both the speaker embedding vector and acoustic features pass the speaker-aware WaveNet vocoder to reconstruct speech waveforms. Experimental results demonstrate that our method can achieve a better objective and subjective performance on reconstructing waveforms of unseen speakers than the conventional speaker-independent WaveNet vocoder.
An Improved Method of LIME for a Low-Light Image Containing Bright Regions

LIME is a method for low-light image enhancement. Though LIME significantly enhances the contrast in dark regions, the effect of contrast enhancement tends to be insufficient in bright regions. In this letter, we propose an improved method of LIME. In the proposed method, the contrast in bright regions are improved while maintaining the contrast enhancement effect in dark regions.
An Analysis on the Function of Chinese Frank Expression from an Interactive Perspective.

Frank expression is a common way of expression. This paper defines frank expression as a speech act, and studies its function from the perspective of interaction. According to the analysis of corpus, Chinese frank expression can be used for positive expression, negative expression and zero degree expression. In positive expression, frank expression is used to enhance sincerity. In the negative expression, confession is used to reduce the degree of face threat or prompt threat. In the zero degree expression, the frank expression is used to enhance credibility. In addition, the function of frank expression is intersecting.
Strategies for the Development of Watermelon Industry Using Unstructured Big Data Analysis

Purpose: Our purpose in this study was to examine the strategies for the development of watermelon industry using unstructured big data analysis. That...
KORELASI KETERAMPILAN MEMBACA PEMAHAMAN TEKS DESKRIPSI DAN KETERAMPILAN MENULIS TEKS DESKRIPSI SISWA KELAS VII SMP NEGERI 8 PADANG

ABSTRACT The purpose of this study is three. First, it describes the skills of reading comprehension text description grade VII SMP Negeri 8 field. Second, it describes the writing skills text description grade VII SMP Negeri 8 field. Third, describing the correlation of the reading comprehension text descriptions and writing skills text description grade VII SMP Negeri 8 field. This research type is quantitative descriptive method. The design used in this research is the design correlation. This research population is grade VII SMP 8 Negeri Padang are registered on the 12th school year 2018/2019, i.e. as many as 255 students. The sample in this research are determined by proportional random sampling of 15% of the population, i.e. 40 students. The data obtained through two types of tests i.e. objective tests to measure the skills of reading comprehension text description and performance tests to measure the skills of writing a text description. The results of the research there are three. First, the skills of reading comprehension text description grade VII SMP Negeri Padang 8 are on good qualifications (B) by the value of the average 79.17. Second, the skills of writing text descriptions grade VII SMP Negeri Padang 8 are on good qualifications (B) with an average of 81.25. Third, there is a significant correlation between reading skills of calss VII students of SMP Negeri 8 Padang in the freedom degree and 95% significant level. H0 is rejected an H1 is accepted because the test results prove that the count is greater than ttable, namely 7,56&gt;2,68. Kata kunci: Korelasi, Keterampilan, Membaca Pemahaman, Menulis
Literarna komunikacija v kvantni paradigmi resničnosti in energijska dimenzija jezika

We highlight the energy dimension in literary communication and, within it, energy effects (energy of meaning), explaining the energy quantum dynamics among authors and their readers.
The Technological Revolution and Its Impact on Current Education: Educational Response to COVID-19

The Technological Revolution is one of the most important processes that emerged in the current era, better known as the “knowledge society '', which implies the introduction of Information and Communication Technologies (ICT) in the various contexts of society, such as in education. The subject of this document arises from the problems experienced around the world and the ignorance of the impact that the pandemic has caused in different aspects of current life. And it is that, because of one of the most serious diseases, countless strategies have been used that allow human beings to mediate their activities as they did previously. Education is one of the contexts that have been affected by this virus, in addition to being considered essential for the development of society, a National Educational Plan has been chosen within Ecuador, giving an immediate and favorable response to the process of teaching-learning, having technology as the main means of interaction. The information contained in the text is closely related to the compilation of various bibliographic sources using the deductive method, which significantly contributes to the conclusion of the problem raised, achieving effective and efficient results from the development of the same research.
Toquenitzar el català: la llengua com a bé comú

This is a short essay on dialogue, culture and identities. In addition to the public good policy adopted by the Catalan Government over the last four decades, it examines the Catalan language from a commons-based perspective. It contends that its survival and evolution in a digital age will mainly depend on the social institutions that can be created to manage it as a commons good. To foster cultural innovation and plurality, against diglossic stances, blockchain technologies could be used by Catalan speakers to create a social community to freely manage their own language.
Agile Methodology in an SaaS Deployment Project

Agile manifesto has proven its ability in managing and execution of projects in multiple industry sectors. Many researches have been conducted on the advantages and applicability of agile practices in software development and information technology industry. In this paper, empirical research has been conducted to identify the differences in agile management practices between software development and software as a service (SaaS) deployment projects. Case studies of a payment card industry (PCI) organization have been presented to identify key characteristics, tools, and methods of agile project management practices practically followed while implementing and managing of SaaS-based projects. Moreover, best suited agile management practices for pre- and post-deployment projects have also been discussed.
Cloud Recognition Based on Lightweight Neural Network

Cloud type recognition is a basic task in the field of ground-based cloud meteorological observation. It is of great significance to identify cloud type accurately for improving the accuracy of weather forecast. In this paper, we propose a new lightweight convolutional neural network model, called LCCNet, to achieve accurate cloud recognition of ground-based cloud images. We build a standard ground-based cloud data set contains 11 categories, called HBMCD, which is recognized by professional meteorological stations and conforms to the standards of the World Meteorological organization. Compared with other existing ground-based cloud data sets, HBMCD have larger data volume, complete cloud categories and uniform quality, and are more professional and comprehensive. A number of comparative experiments demonstrates that the proposed LCCNet model has stronger characterization ability and higher classification accuracy, which is up to 97.35%. At the same time, its parameter amount and operation complexity are lower than the existing network models, which makes it possible for equipment integration and practical application.
학술적 영한 번역 과정에서 외국인 유학생의 정체성 연구

This paper explores the language identity of international students who translate English materials into Korean in an academic setting (AS). The informants of this study are neither the first language users of English nor Korean. While they are required to read scholarly papers of their field in English, they are required to present in Korean. This study consists of a translation experiment and interview. After the translation experiment, questions were asked such as the experience of translation and feelings of English in AS, things that make them feel difficult in translation experiments. The interview data were collected and coded following the practices of grounded theory. By analyzing the codes, interactional and social features of the English-Korean translating process were found. Interactional features of the translation process codes are explained as cultural adaptation. It infers that informants experienced culture shock for the first time and then gradually found a way to deal with academic translation. Thus, it is explained by the acculturation theory. Social features of the codes were found to be analyzed by theories concerning the prestige of English. Each informant applies the prestige and power of English differently according to their former academic experiences when translating English texts into Korean in an AS. This may help explain the linguistic identity of individual informants. This study concerns the intervention of English, which has been neglected in the study of Korean language education for academic purposes. In the field of English-Korean translation where translation occurs as an academic practice, international students face linguistic barriers and are affected by the power of languages in the domain which enables them to find their identity as an international student in Korea. (Seoul National University)
Features of specialist training in the system vocational and pedagogical education

Various educational systems operate in Russia to meet educational needs, among which vocational and pedagogical education occupies a special place. One of the indicators of the high quality of training of a teacher of vocational training, armed with general scientific, general professional and special knowledge, who has a professional pedagogical methodology, is his ability to manage the pedagogical process and predict the results of various methods of organizing the educational process. The proposed methodological recommendations can be used in organizing the training of teachers in secondary vocational and higher education.
Prototype for Testing Context-Aware Authentication for Cloud Environments

Access to data in pervasive or ubiquitous environments by people and organizations still uses traditional, static or inappropriate methods.With the adoption of cloud computing, the concern of governments and proven companies to prevent digital fraud and data leakage becomes even more important, new laws establish the need to strengthen the protection of personal data held by organizations.Thus, it is recommended that these organizations carry out risk management in Cloud Computing considering the control and management of identities and access to data and information. Identity and Access Management -IAM -is a set of technologies and policies to address risks of improper access. One of the IAM technologies is context-sensitive authentication, which is an adaptive control technology that uses dynamic standards to determine the legitimacy of access. This article proposes the use of contextsensitive authentication as an Identity and AccessManagement technology to provide greater protection in accessing data in a cloud environment and also demonstrate the functioning of this technology through the construction of a prototype.The prototype will use context authentication to validate accesses through attributes that form an access profile to be validated by a given application.