Reviewerly/exHarmony huggingface dataset:
Meta-search based approach for Arabic information retrieval

Purpose The semantic relations between Arabic word representations were recognized and widely studied in theoretical studies in linguistics many centuries ago. Nonetheless, most of the previous research in automatic information retrieval (IR) focused on stem or root-based indexing, while lemmas and patterns are under-exploited. However, the authors believe that each of the four morphological levels encapsulates a part of the meaning of words. That is, the purpose is to aggregate these levels using more sophisticated approaches to reach the optimal combination which enhances IR. Design/methodology/approach The authors first compare the state-of-the art Arabic natural language processing (NLP) tools in IR. This allows to select the most accurate tool in each representation level i.e. developing four basic IR systems. Then, the authors compare two rank aggregation approaches which combine the results of these systems. The first approach is based on linear combination, while the second exploits classification-based meta-search. Findings Combining different word representation levels, consistently and significantly enhances IR results. The proposed classification-based approach outperforms linear combination and all the basic systems. Research limitations/implications The work stands by a standard experimental comparative study which assesses several NLP tools and combining approaches on different test collections and IR models. Thus, it may be helpful for future research works to choose the most suitable tools and develop more sophisticated methods for handling the complexity of Arabic language. Originality/value The originality of the idea is to consider that the richness of Arabic is an exploitable characteristic and no more a challenging limit. Thus, the authors combine 4 different morphological levels for the first time in Arabic IR. This approach widely overtook previous research results. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2020-0515
R-LWE-Based Distributed Key Generation and Threshold Decryption

Ever since the appearance of quantum computers, prime factoring and discrete logarithm-based cryptography have been questioned, giving birth to the so-called post-quantum cryptography. The most prominent field in post-quantum cryptography is lattice-based cryptography, protocols that are proved to be as difficult to break as certain hard lattice problems like Learning with Errors (LWE) or Ring Learning with Errors (R-LWE). Furthermore, the application of cryptographic techniques to different areas, like electronic voting, has also nourished a great interest in distributed cryptography. In this work, we will give two original threshold protocols based in the lattice problem R-LWE: one for key generation and one for decryption. We will prove them both correct and secure under the assumption of hardness of some well-known lattice problems. Finally, we will give a rough implementation of the protocols in C to give some tentative results about their viability, in particular our model generates keys in the order of 103 ms and decrypts and encrypts in the order of 102 ms.
Mendeteksi Pengaruh Persepsi Mahasiswa Terhadap Vaksinasi Covid-19 Menggunakan Ordinal Logistic Regression

The COVID-19 vaccine is one of the government's breakthroughs to fight and deal with the COVID-19 pandemic. Meanwhile, students' perceptions of vaccines are important to know. The reason is that many students from various universities, especially those from UIN Suska Riau, have their own opinions or opinions about the vaccination. So by using the Ordinal Logistic Regression obtained in this study, it is possible to estimate the categories of students' perceptions of vaccines with the independent variable being knowledge and information about COVID-19 vaccination
POLITENESS STRATEGIES OF THE COMMENTS TOWARD TRUMP'S INSTAGRAM POST ON 'INTERNATIONAL WOMENâ€™S DAY'

The purpose of this study wasÂ to describe politeness strategies employed by the users to give comment toward Donald Trumpâ€™s Instagram Post on International Womenâ€™s Day and to explain the factors that influence the users to use the strategies. The researcher used the theory of politeness strategy by Brown and Levinson (1987).Â In this research, the researcher applied descriptive-qualitative method. Because this research is to more explain about the findings politeness strategies employed by the users to give comment toward Donald Trumpâ€™s Instagram post. The data were taken from comment/utterance and source of data use document such Donald Trump Instagram Post. The instrument of this research is the researcher herself. Technique of collecting data use documentation methode and technique of analysing data use data reduction, data display, and conclusion. Then, the researcher uses source triangulation to validate the data. The researcher asks lecturer who master in Linguistic as validator of source data trianggulation. In this reserach, the researcher found positive politenes strategy is the highest strategy with total 276 (53%) data out of 525 data used by the users to give the comment toward Donald Trumpâ€™s Instagram post on International Womenâ€™s Day. The researcher also found social distance factor which factor is mostly influence the users used politeness strategy. It means when the users use social media to give comment, they want to show solidarity, treat the other users as a member of in-group, a friend, a person who are known and liked. So it can save the users and Donald Trumpâ€™s face and can minimize the distance between the user and Donald Trump.
Predicting Dynamic User–Item Interaction with Meta-Path Guided Recursive RNN

Accurately predicting user–item interactions is critically important in many real applications, including recommender systems and user behavior analysis in social networks. One major drawback of existing studies is that they generally directly analyze the sparse user–item interaction data without considering their semantic correlations and the structural information hidden in the data. Another limitation is that existing approaches usually embed the users and items into the different embedding spaces in a static way, but ignore the dynamic characteristics of both users and items. In this paper, we propose to learn the dynamic embedding vector trajectories rather than the static embedding vectors for users and items simultaneously. A Metapath-guided Recursive RNN based Shift embedding method named MRRNN-S is proposed to learn the continuously evolving embeddings of users and items for more accurately predicting their future interactions. The proposed MRRNN-S is extended from our previous model RRNN-S which was proposed in the earlier work. Comparedwith RRNN-S, we add the word2vec module and the skip-gram-based meta-path module to better capture the rich auxiliary information from the user–item interaction data. Specifically, we first regard the interaction data of each user with items as sentence data to model their semantic and sequential information and construct the user–item interaction graph. Then we sample the instances of meta-paths to capture the heterogeneity and structural information from the user–item interaction graph. A recursive RNN is proposed to iteratively and mutually learn the dynamic user and item embeddings in the same latent space based on their historical interactions. Next, a shift embedding module is proposed to predict the future user embeddings. To predict which item a user will interact with, we output the item embedding instead of the pairwise interaction probability between users and items, which is much more efficient. Through extensive experiments on three real-world datasets, we demonstrate that MRRNN-S achieves superior performance by extensive comparison with state-of-the-art baseline models.
The Ebb of Fiat and the Flow of Cryptocurrency

This paper examines various models and strategies for the adoption of cryptocurrencies, arguments on the stabilization of their value, and the relationship between artificial intelligence and blockchain technology.
Study on Preferred Gestural Interaction of Playing Music for Wrist Wearable Devices

Recently, many gesture-based interactive devices have been developed. Gesture is one of the most intuitive and natural ways to communicate each other, so gesture recognition technology is becoming huge issues in interaction design. Wrist wearable devices such as smart watches, Nike FuelBand, and Samsung Galaxy Gear are vitalized on the market, and there are attempts to control the wrist wearable devices with gestural interaction. In order to design more user-centered devices, development of gesture standards which gesture is appropriate for which operation becomes very important. In particular, there are two different situations gesture interaction is required: 1) people control objects that exist around then such as TV and vehicle, and 2) people control objects put on their body such as smart watch. This paper assumes that the two different situations may require different gesture interactions. The goal of this paper is to reveal preferred gesture interaction for wrist wearable devices. The function of playing music is selected for the experiment because it is most common and popular function on almost all digital devices. This paper consists of three parts: 1) collect existing gesture signal conventions and categorize them, 2) conduct a survey to find out preferred gestures for each function of playing music in two different situations, and 3) analyze the result for defining the most preferred gesture interactions and considering rationales for designing gesture interaction for wrist wearable device.
Introduction

This book presents the results of our research on extracting the representative sets of terms, of minimal size, that form the terminology covering the professional needs in a subject domain—as the first phase in the domain ontology engineering pipeline. Terminologies are extracted from the collections of professional documents, e.g. scholarly publications bound to the subject domain of interest, and written by domain experts. The problem we address is challenging and has not been fully solved that far. Indeed, the solution has to ensure that the chosen collection of documents is representative of its subject domain. Further, it has to extract the core set of terms that are sufficient to represent the professional needs of the expert community around the domain. Finally, this core set of terms should be as compact as possible. In this work, the solution to the problem is approached via the use of terminological saturation, a phenomenon arising in the sequence of incrementally growing document sub-collections of a (hypothetical) complete collection. The process of terminological saturation is modelled as a successive approximation process. It is found, experimentally, and proven, formally, that terminological saturation results in a saturated sub-collection of documents under some conditions in a domain-bounded setting. This saturated sub-collection, termed as a terminological core sub-collection, appears to be similarly representative, as the entire collection, to reflect the sentiment of the knowledge stakeholders about the domain. Therefore, the set of terms extracted from the terminological core sub-collection could be regarded as a minimal representative term-set for further requirements elicitation in the ontology learning pipeline.
Impoliteness among slaves - An epigraphic evidence for insults from a Graeco-Roman bilingual context of Southern Italy

A threefold inscription scratched on a tile found in the surroundings of Reggio Calabria, dating back to late 2nd century BCE, evidences for insults addressed to slaves employed in a local pottery. Both context and abusive terms point to a controversy broken out among colleagues within the place of work. The offensive words reveal a Greek-Latin bilingualism, in which Latin plays the role of language first learned and used in everyday speeches, as well as the high degree of literacy of slaves, confirmed by similar manufactures with Latin and Oscan inscriptions. Nevertheless the threefold inscription raises some questions about text cohesiveness and, more importantly, the number of the addressees implied by the sequence of appellatives in vocative case, which is the key point for understanding the text as a whole.
Defining a General Collective Intelligence Based Renewable Energy Solution Development Program

The choice of which problem renewable energy programs target is one that might benefit from greater General Collective Intelligence or GCI. Where a collective intelligence uses the intelligence of crowds to maximize impact on a given problem, a GCI is defined as having the capacity for general problem solving ability, and therefore the capacity to increase outcomes by choosing the optimal problem to solve. Collectively intelligent development aims to solve the problems required to create the ability for groups to reliably explore all of the currently possible solution space and to reliably converge on the best available solution in that space, so that developing solutions which facilitate a significantly improved impact on targeted outcomes as compared to other development processes is reliably achievable. Where conventional development processes have known cognitive or other biases that may prevent certain categories of solutions from being selected by groups even where optimal, collectively intelligent development aims to create the capacity to reliably converge on the optimal overall solution. A proposed Collective Intelligence Based Renewable Energy Program aims to leverage human-centric functional modeling to provide groups with a common model of the problem being solved. This proposed program then leverages a newly developed model of General Collective Intelligence to collectively reason in terms of those common functional models as required to develop a solution that optimizes impact on the targeted problem, such as the problem of achieving a significantly lower cost of access to sustainable renewable energy, or achieving a significant increase in environmental sustainability of that renewable energy, as defined by metrics that might be related to carbon emissions.
CERKAS System Development: Smart Web-Based Sharia Accounting as a Learning Media

The COVID-19 pandemic is a virus that has shaken the world, including Indonesia. The existence of the COVID-19 pandemic has dealt a very hard blow in every sector of Indonesian people's lives. One of the sectors affected by the COVID-19 pandemic is in the education sector. Distance learning has become a new problem in the world of education, but on the other hand, research and creativity have emerged in adjusting to the manufacture of learning media aimed at increasing students' motivation and competence. Research in the form of developing this system using the ADDIE (Analysis, Design, Development, Implementation,Evaluation ) method creates a web-based application called CERKAS: Smart Syariah Accounting which seeks to provide solutions to distance learning problems, more specifically for Islamic banking majors at the Vocational High School level. (SMK). The CERKAS web-based application was tested by asking for validation from the experts and the research object, namely 70 students of Islamic banking majoring in Islamic banking. Experts were given questionnaires related to material, application (easiness and appearance), language while respondents from students were given questionnaires in the form of: convenience, appearance, completeness of learning facilities, learning process, learning impact. The results obtained are based on the views of experts and research respondents that the CERKAS application in the category is very feasible to be applied and implemented as a learning media.
PERAN GURU KELAS DALAM MENUMBUHKAN MINAT LITERASI MENULIS PADA SISWA DI MADRASAH IBTIDAIYAH NURUL HUDA SEDENGANMIJEN KRIAN, SIDOARJO JAWA TIMUR

This article explores facts about the role of classroom teachers foster students' interest in writing literacy. Several questions about writing literacy, covering how classroom teachers foster interest in writing literacy in students at Madrasah Ibtidaiyah Nurul Huda Sedenganmijen Krian, as well as what are the obstacles that class teachers in fostering interest in writing literacy at Madrasah Ibtidaiyah Nurul Huda Sedenganmijen Krian, from both focuses The problem is expected to provide detailed information about the growth of students' interest in writing literacy so that later it can be used as a reference to other elementary schools. This research uses a qualitative method with a case study approach, collecting data through interviews, observation, and documentation. The results of the study show that several classroom teachers have made breakthroughs, such as; familiarizing students with reading before starting the lesson, with a combination of class teachers giving students assignments to write personal stories in diaries. In addition, classroom teachers use several methods to foster students' interest in writing literacy, to be able to get maximum results. Synergy is a necessity in learning facilities such as the existence of learning media prepared by Madrasah Ibtidaiyah Nurul Huda Sendangmijen Krian, appropriate reading and writing literacy media, such as; Storybooks, picture stories, and fairy tales, wall magazines and children's encyclopedias, diaries, post it, film files (video).
An Experimental Analysis of Function Performance with Resource Allocation on Serverless Platform

Serverless computing is currently receiving much attention from both academia and industry. It has a straightforward interface that abstracts the complex internal structure of cloud computing resource usage and configuration. The fine grained pay-per-use model of serverless computing can dramatically reduce the cost of using cloud computing resources for users. Thus, today more and more traditional cloud applications are moving to the serverless architecture. In serverless computing, functions executing in containers are the basic unit of scheduling. However, the impact of resource allocation on function performance in serverless platform is still not clear. It is very challenging to improve the function performance while reducing the resource costs in serverless platform. In this paper, we select several typical workloads in serverless and analyze the function performance by controlling the CPU and memory resources. Experimental results reveal the impact of resource allocation on the performance of different types of functions. We also classify the functions in serverless according to their dependence on CPU resources and memory resources.
Sistem Informasi Pengolahan Data Nilai Siswa Berbasis Website Pada MTs Mishbahul Falah Batangan

Madrasah Tsanawiyah Mishbahul Falah is an educational institution, but in the process of calculating grades it is still classified as manual because technically the subject teacher provides a list of student scores to the principal, then the class teacher copies the student's scores into a report card based on the value data. Assessing that processing is still manual makes the longer work done, the greater the error rate in processing. The purpose of this study is to build applications that can facilitate value processing using the waterfall method. The initial stage in this research is to collect data for analysis, system analysis which will be used includes analysis of hardware, software, users, technology, system design, database, interface, system implementation, and system testing. The results of this study are Web-Based Student Value Data Processing Applications. Applications that are made can store school data, including teachers, classes, subjects, students, academic years, and carry out the assessment process. This application is expected to be able to solve the problems of the teacher or principal in the process of processing student value data.
A Contrastive Study of Chinese “Zhe” and English Present Continuous Tense

In language system, Chinese is a typical inflectional language, while Chinese is one of the synthesis languages.There are some certain differences and similarities between Chinese and English in terms of language structure and grammatical meaning, etc.According to grammatical meaning, this article aims to analyze the corresponding relationship and certain differences between Chinese "zhe" and English present continuous tense.On the basis of theoretical analysis, it tries to offer some appropriate strategies for language teaching and learning.
Backlash or Bullying? Online Harassment, Social Sanction, and the Challenge of COVID-19 Misinformation

Online platforms continue to grapple with the spread of false information about the COVID-19 pandemic, especially about the safe and effective COVID-19 vaccine. Some users who disseminate vaccine misinformation report that they were bullied by other users in response to their anti-vaccine messages. When they arise, these reports pit a platform’s prerogative to reduce the spread of misinformation against its obligation to protect users from online harassment. To resolve this tension, we present a framework that evaluates user interactions based on three criteria: intensity, specificity, and persistence. This approach can help content moderators determine when criticism of anti-vaccine messages by other users turns to harassment. After exploring the framework and its theoretical under-pinnings, we report the results from an experimental survey (n=21) we ran comparing moderation decisions made according to a new policy framework for our social media platform, Patio, against those made solely according to our existing community guidelines. The framework yields a statistically significant improvement in the overall accuracy and precision of moderation decisions involving potential harassment of users spreading COVID-19 vaccination misinformation. We conclude by considering the limitations of our analysis and avenues for further research.
Database “Biography” – a New Information Resource of the State Public Historical Library of Russia

The article is devoted to a new information resource of the State Public Historical Library of Russia (SHPL) – the Biography database, which takes into account publications of a biographical and iconographic nature in pre-revolutionary periodicals. The database is part of the reference apparatus of the biography cabinet – a new structural unit as part of the reference and bibliographic department of the SHPL. A distinctive feature of the resource is the combination of biographical information about a person, bibliographic descriptions of information sources and direct links to their digital copies in the “Open Electronic Library” of the SHPL. The practical experience of the SHPL bibliographers in the formation of the database and the creation of normative records is presented, the range of sources used in its formation and the creation of normative records is characterized. Examples of normative records of geographic objects are given. The main search capabilities of the database, available to readers of the SHPL and for remote users are described. The possibilities of further development of the information resource, including information from registers of births, creation of a corporate project with interested libraries and archives of the constituent entities of the Russian Federation are considered. This will provide additional opportunities to recreate the biographies of Russians of the late 19 th – early 20 th centuries, and can become a serious help both for professional historians and for a wide range of amateur genealogists studying the history of their famil.