Reviewerly/exHarmony huggingface dataset:
An Automated and Robust Solution of K-Means Cluster Analysis Based on Most Frequent Value Approach

Summary In this study, we investigate on how the cluster analysis based on the most frequent value (MFV) results affect to the classifying the pore geometry and pore structure parameters with p-wave velocity and quality factor of sandstone. Then we compared with the clustering result from the conventional Euclidean cluster analysis. Most frequent value (MFV) has the main advantage as the statistically robust way in the automated calculation of the weighted average of a given dataset. An automated and robust clustering solution is produced by using MFV. Overall, the results of MFV-CA in terms of robustness and well-distinguished cluster show a better result than traditional Euclidian distance-based cluster analysis in grouping the pore geometry and pore structure correlated with p-wave velocity and quality factor in sandstone core samples.
Certified Watermarks for Neural Networks

Watermarking is a commonly used strategy to protect creators' rights to digital images, videos and audio. Recently, watermarking methods have been extended to deep learning models -- in principle, the watermark should be preserved when an adversary tries to copy the model. However, in practice, watermarks can often be removed by an intelligent adversary. Several papers have proposed watermarking methods that claim to be empirically resistant to different types of removal attacks, but these new techniques often fail in the face of new or better-tuned adversaries. In this paper, we propose the first certifiable watermarking method. Using the randomized smoothing technique proposed in Chiang et al., we show that our watermark is guaranteed to be unremovable unless the model parameters are changed by more than a certain l2 threshold. In addition to being certifiable, our watermark is also empirically more robust compared to previous watermarking methods.
Blockchain Hysteria: Adding ‘‘Blockchain’’ to Company’s Name

Using a list of companies that changed their names to add ‘‘blockchain’’ or ‘‘bitcoin’’ to their names, we find that after changing the names, these firms have a significant abnormal positive return that lasts for 2 months. The abnormal return turns negative 5 months after the change. This suggests that these firms changed their names to take advantage of the hysteria surrounding the price rise of bitcoin.
Online Continual Learning Under Domain Shift

Existing continual learning benchmarks often assume each task's training and test data are from the same distribution, which may not hold in practice. Towards making continual learning practical, in this paper, we introduce a novel setting of online continual learning under conditional domain shift, in which domain shift exists between training and test data of all tasks: Ptr(X,Y)≠Pte(X,Y), and the model is required to generalize to unseen domains at test time. To address this problem, we propose \emph{Conditional Invariant Experience Replay (CIER)} that can simultaneously retain old knowledge, acquire new information, and generalize to unseen domains. CIER employs an adversarial training to correct the shift in P(X,Y) by matching P(X|Y), which results in an invariant representation that can generalize to unseen domains during inference. Our extensive experiments show that CIER can bridge the domain gap in continual learning and significantly outperforms state-of-the-art methods. We will release our benchmarks and implementation upon acceptance.
Integration of PRESENT Cipher Model Using Bit Permutation in Wireless Sensor Network for Data Security

Security of data has become the biggest concern in recent years, due to the growing number of wireless networks. Accordingly, cryptography is becoming essential in improving data security. Encryption schemes that transforms the data into an incomprehensible shape. It plays an important role in applications such as wireless sensor networks, as most of the data is transmitted through an unsafe channel. Ultra-lightweight cryptography is one the most preferable research areas which having significant contribution towards the security aspects. There is a low power block cipher PRESENT. In this proposed work a PRESENT as reference block cipher is implemented. Here a method called PRESENT block cipher is used with key shuffling and S-Box. This method produces a 64 bits cipher text as result on input text of size 64 bits and key having of 128 bit. This developed method gives better results in comparison to other existing cipher on performance on different hardware and software platforms. With less memory requirement it produces a higher accuracy and confidentiality of the message is maintained. The proposed cipher have the better encryption time, decryption time, throughput. This proposed cipher has better resistance to crypt analysis according to avalanche effect. This proposed cipher can well be applicable for application where small traced area and low power decadence are vital design metrics.
Pedagogical Interaction Under the Conditions of Distance Learning

Distance education as a product of the digitization of modern society is substantially different from conventional education, but the two forms of learning have been used in parallel until recently, with the latter one considered the priority. The COVID-19 pandemic led to the implementation of restrictive measures of social distancing, which made distance education the sole viable alternative that allows the process of learning to continue uninterrupted. These conditions revealed a number of specific characteristics of subject-object interaction in the synchronous and asynchronous online learning environment, which are the focus of the this study and analysis. The results of the conducted scientific investigation definitively demonstrate the students’ need and desire to develop some of the necessary professional competences in direct interaction with their instructors in a setting that is suitable and specially equipped for the purposes of the education process and simulates the real conditions of their future work environment.
The functionality of traditional contracts has been displaced due to the emergence of smart contracts.

This essay examines whether the smart contract innovation is capable of displacing the orthodox adherence to traditional contracts. This examination is underpinned by an analysis of the legality of smart contracts in which it is exemplified that smart contracts ought to be considered legally binding instruments. The essay proceeds to explore the superiority of smart contracting in a technical and theoretical basis. The advantages generated through smart contract automaticity and enforceability present a concrete basis for undermining reliance on traditional contracts. Blockchain Technology also enhances the benefits of smart contract by acting as a smart contract enabler through guaranteed performance and enforceability. Nevertheless, such novel technologies inevitably suffer from several shortcomings. This essay considers examples illustrating the inflexibility of smart contracting. Apart from being susceptible to hacking and code exploitation, smart contracting is unable to deal with ambiguities and potential modifications. Overall, this suggests that the advantages of smart contract practice are currently confined to some specified limited scenarios. Smart contracts perform a different function to traditional contracting by merely guaranteeing technical enforceability as opposed to legal enforceability. This essay thus concludes that, for the time being, it is prone to regard smart contracting as a supplement to traditional contract rather than an outright displacement.
ICONS: a Mobile Application for Introduction Culture of North Sulawesi

Indonesia has a very artistic and cultural diversity. Currently the lack of knowledge about the culture and art of their own country is an issue that is being experienced. Now the lack of means of support in getting information about Indonesian art and culture, thereby lowering the curiosity about the culture and art of Indonesia itself. North Sulawesi is a province in Sulawesi islands where lies the province on the northern tip of Sulawesi island directly adjacent to the Philippines Country. North Sulawesi as an area that has a lot of cultural diversity begins from historic sites, traditional houses, traditional clothing, to the beautiful tourism place in North Sulawesi. With provided a means of education in the information provider will provide a media to share information about the culture in North Sulawesi. Therefore, it is necessary to develop applications Introduction to Cultural North Sulawesi, which is the application of information systems to the concept mobile based application that is expected to attract interest in giving and receiving information about the cultures that exist in North Sulawesi. In the development of this application using methods developed Multimedia Development Life Cycle (MDLC) which starts from the concept phase to the distribution phase.
STRATEGI PENCEGAHAN NARKOBA BERBASIS MASYARAKAT DI KECAMATAN SIMPANG RIMBA,DESA SERDANG KABUPATEN BANGKA SELATAN

Abstract Narcotics and Drugs (Narcotics) or Narcotics, Psychotropics, and Additives (NAPZA) are substances that can increase the level of psychiatric or nutrition that can be adjusted to health and psychology. An important problem in this study is the threshold What is the Community Based Drug Prevention Strategy and the support of the Regional Government in the Prevention of Drug Use in Serdang Village, South Bangka Regency? The program for eliminating drug abusers has run according to existing normative standards. Every program if not carried out and the evaluation will not succeed, such as the formation of peer counselors, anti-drug youth cadres, and anti-drug integration curriculum.  Based on the Regent's Decree, to maximize program implementation cross sectoral cooperation is needed. It is also in accordance with one of the HIAP strategies, namely cross-sectoral cooperation. The community has an important role in approving drugs. The public has begun to respond positively and take an active role in opposing drug abusers. The formation of peer counselors, anti-drug youth cadres, the role of parents, the role of BK teachers have started to run well.
Feature Selection and Weighted Based Optimized Weight based Multi-Tier Stacked Ensemble (WMTSE) Classification for Twitter Sentiment Analysis

Abstract This research work concentrates on both feature selection and classification methods for utilizing twitter data. A new classifier is introduced for classifying “tweets” into positive, negative and neutral sentiment. The system contains four steps: Preprocessing by Tokenization, Text Cleaning, Part of Speech (PoS) Tagging, Stemming and Stop Words Removal, Feature Extraction by Bag-of-words (BoW), Lexicon-based features and Term Frequency- Inverse Document Frequency(TF-IDF), Feature Selection by Binary Swallow Swarm Optimization (BSSO) and the Classification Model by Weighting Naive Bayes (WNB), Multi-Tier Stacked Ensemble (MTSE) and Optimized Weight based Multi-Tier Stacked Ensemble (OWMTSE) for Sentiment Analysis. These methods are implemented via the collected dataset of sentiment140 dataset. It contains 1,600,000 tweets extracted using the twitter API. The tweets have been annotated (0 = negative, 2 = neutral, 4 = positive) and they can be used to detect sentiment [6]. Keywords: Twitter, sentiment, Bag of words, BSSO, MTSE, OWMTSE
Review on Security Challenges of Cloud Computing

Cloud computing is the quickest developing innovation these days it has wonderful situation in business. Cloud Computing has changed the parts of conventional computing technologies, Cloud computing is a big shift from the traditional way business to IT resources. it is the least complex administration accessible through web to begin and look after business. Services of this technology are provided through internet by giving amount based upon prerequisite of resources in an easier and effective mode with the facility of increase or decrease the requirements of resources. This technology has several advantages, even though it has not satisfied its maturity level due to the lack of protection and other issues. This paper deals with the various security challenges of cloud computing. It also points out the types of cloud and several service models of cloud computing.
ANALYSIS OF THE LEGAL FRAMEWORK FOR EDUCATIONAL INCLUSION

The main objective of the research is to analyze the legal frameworkfor educational inclusion in accordance with the allocated structural units. Based on the analysis of legal instruments at different levels,the authors identified the objects of educational inclusion, revealed the essence of the inclusive education concept and characterized organizational and methodological conditions of inclusive education. The conclusions were drawn on the non-discriminatory, heterogeneous, integration development of inclusive education.
Hate Speech in the Mass Media

In Japan, hate demonstrations and Heitobon (‘hate speech books’) that contained hate speech peaked in 2013–14. Even now, some print media still contain hate speech. In contrast, broadcast television has largely escaped the airing of hate speech because broadcasters are governed by content regulations and ethical codes. In 2017, however, a local station in Tokyo aired a particular show, News Joshi (‘News Girls’), which included some defamation of protesters in Okinawa. The Broadcasting Ethics and Program Improvement Organization, a politically independent examiner of broadcast television, found that News Joshi violated ethical standards and human rights.
Study of Websocket Parent-Teachers/Qualified Teachers in Rural Areas: Case of Central African Republic

Over the last twenty years, political and military crises have destroyed the Central African education system. Due to insecurity, most of the qualified teachers have left the at-risk provinces to stay in Bangui, the country’s capital. Children have no right to education. This constitutes a danger to peace, security, and the socioeconomic development of the country. Parents in at-risk areas are forced to group together to create training for children, but their parent-teachers have not had basic training to teach. In this article, we will set up a Chat and Videoconference platform that allows parents of students who want to replace teachers who are on the run in areas of conflict in the provinces to be qualified and well equipped, enabling children and young people in conflict areas to have the right to education. The methodological approach of our solution is based on the deployment of a common platform using the Node.js server, the MySQL server. The contribution of master-parents to do the rehearsals for children in conflict areas. This solution contributes to the improvement of the schooling rate, the consolidation of peace, security, and socioeconomic development in the Central African Republic.
Zinātniskais raksts dabaszinātņu nozarēs: kopīgais un atšķirīgais

Nowadays, the language of science is the subject of many linguistic studies. One of the research aspects in the language of science discourse is the various texts of science in written and oral communication. One of the most important types of written publications in the language of science is a scientific article. Publishers usually set certain formal and content requirements for scientific articles. There is a general belief that they are based on universal principles. Namely, in the publications of exact sciences, the prototype of a scientific article has a strictly defined structure or macrostructure, which is based on the traditional IMRaD structure of English language publications. In this article, a qualitative method is used to analyse scientific articles in the field of natural sciences and to characterize their macrostructure, paying attention to the common and different features of the structure of texts in individual sectors. The research was carried out in the framework of the project “Latvian Language of Science in the Intralingual Aspect” funded by the Latvian Council of Science. The research material consists of 114 scientific articles in natural sciences written in Latvian, which are freely available online and published from 2008 to 2018. The results of the analysis show that in natural sciences articles in Latvian, the authors mainly use the structure of IMRaD, supplementing it with other elements (for example, literature review, conclusions/conclusion). The linguistic evaluation reveals different variants of the wording used by the authors when naming the separate parts of the text macrostructure. The greatest differences in the text formation of the scientific article can be found in the scientific texts in computer science and informatics, where the authors use the classical IMRaD structure less often.
The construction of a Chinese and English term database of Manchu UlabunWen

Manchu Ulabun is a form of narrative literature created and related by Manchu people, mainly inherited through word of mouth; however, it is facing extinction with the passing away of these aged inherited Manchu storytellers. After years of fieldwork, over 50 Ulabun books have been rescued and published, with a couple of books translated into English. A large majority of the rescued works, however, are still unknown to international readers. In order to make the cultural heritage known to the world and improve the accuracy of future Ulabun translation, a project was initiated in 2018. This chapter investigates the following two issues: term extraction in Chinese and term translation in English, which constitute the key steps in constructing the term database of Manchu Ulabun. The Ulabun series of books was taken as the source text; the SDL MultiTerm management tool was utilized as the main research instrument to extract terms. After verification by professional experts, over 3800 terms were selected to construct the Manchu Ulabun term database, covering a variety of topics. With cultural translation theory as the guiding theoretical framework, four translation methods have been adopted to translate the terms in the database, especially terms with cultural connotations. It is expected that the research practice may establish parameters for the construction of future ethnic minority cultural term databases.
Imported Food Price Shocks and Socio-Political Instability: Do Fiscal Policy and Remittances Matter?

Using a panel of 101 low- and middle-income countries with data covering the period 1980-2012, this paper applies various econometric approaches that deal with endogeneity issues to assess the impact of food price shocks on socio-political instability once fiscal policy and remittances have been accounted for. It focuses on import prices to reflect the vulnerability of importer countries / net-buyer households to food price shocks. The paper finds that import food price shocks strongly increase the likelihood of socio-political instability. This effect is greater in countries with lower levels of private credit and income per capita. On the other hand, while remittances seem to dampen the adverse effect of import food price shocks on socio-political instability in almost all countries, the mitigating role of fiscal policy is significant only in countries with low-levels of private credit.
Expanding the Debate About Content Moderation

In this paper, nine scholars consider how to expand research on Internet platforms’ content moderation. We consider research on encrypted platforms such as WhatsApp; on short-lived but briefly popular platforms; on cloud computing platforms and throughout the infrastructure. We address the implications of content moderation for civic action in open societies, content moderation as regulation, for our political lives, the quality of our cultures and daily lives; and opportunities and for regulatory approaches.
Performance Comparison of Search Feature With Django Querysets and Elasticsearch in a Web Application

Search engine is an important tool for user to search relevant information quickly and easily. It is especially an essential feature for the application that manage massive influx of data and information in their server. The implementation of search engine is wide and various ranged from famous web crawler such as Google, shopping sites such as Amazon to social media such as Facebook. The purpose of this research is to implement search engine technology to web application Arsip dan Dokumen UMS that handle every archive in University of Muhammadiyah Surakarta and developed with Django web framework. This research focused on the performance comparison of search engine between third-party search engine using Elasticsearch and search engine build with Django Querysets which have become the default implementation in this application. Each search engine must perform 12 search queries against sample of text contained in archive database field. This were repeated ten times for each query to obtain the best possible performance measurement in seconds. The archive database field populated with 1001 text samples extracted randomly from various Indonesian Wikipedia page. This research can prove how useful the implementation of Elasticsearch as search engine and its drawbacks.
Огляд методів інтелектуального аналізу тексту

Nowadays there is an increasing trend in the usage of computers for storing documents. As a result of it substantial volume of data is stored in the computers in the form of documents. The documents can be of any form such as structured documents, semi-structured documents and unstructured documents. Retrieving useful information from huge volume of documents is very tedious task. Text mining is an inspiring research area as it tries to discover knowledge from unstructured text. This paper gives an overview of concepts, applications, issues and tools used for text mining. In the contemporary world the text is the most common means for exchanging information. The data stored in the computer can be in any one of the form structured semi structured and unstructured. The data stored in databases is an example for structured datasets. The examples for semi structured and unstructured data sets include emails, full text documents and HTML files etc. Huge amount of data today are stored in text databases and not in structured databases. Text Mining is defined as the process of discovering hidden, useful and interesting pattern from unstructured text documents. Text Mining is also known as Intelligent Text Analysis or Knowledge Discovery in Text or Text Data Mining. Approximately 80% percent of the corporate data is in unstructured format. The information retrieval from unstructured text is very complex as it contains massive information which requires specific processing methods and algorithms to extract useful patterns. As the most likely form of storing information is text, text mining is considered to have a high value than that of data mining. Text mining is an interdisciplinary field which incorporates data mining, web mining, information retrieval, information extraction, computational linguistics and natural language processing.
Graphic Overlay in Cine-VR

Since the onset of cinematic virtual reality (cine-VR), one technique that has proven helpful in drawing the viewer's attention is a graphical overlay. This chapter explains how the author arrived at constructing a spherical grid to map various safe areas for graphic overlay placement. The graphics overlay within that range can be perceived with ease and comfort. In placing text overlay (intertitles or subtitles), The New York Times seems to prefer the latter, but the author reckon it does not really matter as long as they are constant. In VR documentaries where intertitles (or subtitles) are an integral part of the narrative, three orientation points work best, especially if the viewers are watching in a sitting position. While the ideal text size for reading in print is between ten and twelve points, in VR, the safest minimum body text size is twenty-four points.