Reviewerly/exHarmony huggingface dataset:
Writing Strategies Used by English Department Students with Different Self-Esteem Level to Revise Their Essay(s)

Abstract: This qualitative study investigated writing strategies used by English Department students with different self-esteem levels to revise their essay(s). This study involved six third-year students of the English Language Teaching study program at Universitas Negeri Malang. They have different self-esteem levels (3 students with high self-esteem and 3 students with moderate self-esteem levels). There were three types of writing strategies that the students with varying levels of self-esteem used to revise their essay(s): monitoring, getting feedback, and revising. Those strategies were considered helpful for the students to improve the quality of their essay(s). Abstrak: Penelitian kualitatif ini menginvestigasi strategi menulis yang digunakan oleh mahasiswa jurusan Bahasa Inggris dengan tingkat harga diri berbeda untuk merevisi esai mereka. Penelitian ini melibatkan enam siswa tahun ketiga program studi Pendidikan Bahasa Inggris di Universitas Negeri Malang yang memiliki tingkat harga diri berbeda tiga  siswa dengan harga diri tinggi dan tiga siswa dengan harga diri sedang). Ada tiga jenis strategi menulis yang digunakan para siswa tersebut untuk merevisi esai mereka, yaitu monitoring , getting feedback , dan revising . Strategi menulis tersebut dianggap membantu para siswa untuk memperbaiki kualitas esai mereka.
Session details: Theme: Software design and development: UE - Usability engineering track

From a socio-cultural point of view, usability becomes increasingly important with the rise of the so-called information society and the new and innovative ways of interacting with computers in the post-PC era. However, achieving good usability is not easy: Usability has always been difficult to define, measure, and evaluate. Since usability is a multifaceted concept, we need a great diversity of usability techniques to perform a usability study. The study of usability has been somewhat disconnected from the development life cycle of a product. Usability results of real products are usually kept secret, as companies prefer not to openly disclose the defects of their products, etc. In this track we seek original, unpublished contributions that are mainly focused on applying usability engineering models and techniques to real products or theoretical studies with clear practical potential of being applied.
An Efficient Permissioned Blockchain Model with Provable Reputation Mechanism.

Permissioned blockchain, in which only known nodes are allowed to participate, has been widely used by governments, companies, institutes and so on. We study the case where permissioned blockchain is applied to the field of horizontal strategic alliances to ensure that any participant of the alliance who does not follow the regulation will be detected and punished for his behavior afterward. We propose a general hierarchical model of permissioned blockchain which includes three tiers: providers, collectors, and governors. To utilize the overlap of collectors in gathering transactions from providers, we introduce the reputation as a measure of the reliability of the collectors. With the help of reputation system, governors will not need to check all transactions uploaded by collectors. As a result, our protocol will have a significant improvement in efficiency. Meanwhile, let us denote $T$ to be the number of total transactions. Then the number of mistakes that governors suffer is only asymptotically $O(\sqrt{T})$ when guided by our reputation mechanism, as long as there exists a collector who behaves well. This result implies that our protocol remains high performance. The reputation mechanism also provides incentives for collectors to work honestly. To our knowledge, Our work is the first one to give an analytical result on reputation mechanism in permissioned blockchains. Furthermore, we demonstrate two typical cases where our model can be well applied to.
Situation partition and shifted evaluation of distributivity

In this paper, I discuss what I call group distributive readings. Japanese has a distributor “zutsu,” which can occur at the prenominal position or at the floating position. When it occurs at the prenominal position, distributivity is evaluated in a situation other than the situation in which the rest of the clause is evaluated. To account for this shifted evaluation ofdistributivity, I propose that “zutsu” partitions a situation and the shifted evaluation of distributivity comes from the presence of a situation pronoun. The syntactic distribution of group distributive readings follows from an independently motivated generalisation on situation pronoun binding. In addition, this situation-based account makes better predictions for the semantics of canonical distributive readings than previous analyses do.
IMPACT OF CYBER LAW IN MODERN ERA WITH ADVANCEMENT IN TECHNOLOGY AND PROTECTION FROM RISING THREATS OF CYBER CRIMES IN OUR SOCIO ECONOMIC SECTOR

Cyber space industry has made massive profit during this pandemic with everything going online along with the electronic industry in India , Today , Asia has the maximum population playing video gamers, the gaming industry is earning in billions , digital education , digital economy , work from home everything went online over night , which gave rise to cyber crime cases in India . India data is vulnerable and there is no cyber law which talks about privacy , more than 50% of the population lost their sensitive information online , there was cases of online job frauds and debit and credit fraud . The cyber law in India requires reform where phishing and cyber warfare are given legal protection in India , DATA protection , privacy and spamming requires legal attention . Banks are sensitive to cyber criminal because of the poor cyber security system and not so strong cyber laws which has affected the economy , people have lost many in lacs in these months , The cases of risen in 2020 to 2021 . India also needs to upgrade its cyber security policy and bring in professional in this field.
Sequential Modeling for the Recognition of Activities in Logistics

Activity recognition is an important task in cyber physical system research and has been the focus of researchers worldwide. This paper presents a method for activity recognition in logistic operations using data from accelerometer and gyroscope sensors. A Long Short Term Memory (LSTM) recurrent neural network, bidirectional LSTM and a Convolutional LSTM (ConvLSTM) are used to classify between six activities being performed in the logistics operations being carried out. Comparing the performance of the LSTMs to the Conv-LSTM network, the designed Bi-LSTM RNN outperforms the other networks considered
Natural fracture detection in the Middle Vaca Muerta Formation with multi-component seismic data

Disclaimer Text and Data Mining. Any automated analytical technique aimed at analysing text and data in digital form in order to generate information including - but not limited to - patterns, trends and correlations (so-called Text and Data Mining) may only be applied if it is done by a research organisation or cultural heritage institution solely for the purpose of (non-commercial) scientific research as mentioned in Clause 3 of Directive (EU) 2019/790 (the Digital Single Market Directive) and Clause 15n of the Dutch Copyright Act [Auteurswet]. Text and Data Mining for commercial purposes is not allowed; all rights in this respect are reserved pursuant to Clause 4 paragraph 3 of the Digital Single Market Directive and Clause 15o paragraph 1 of the Dutch Copyright Act.
The processing of textbook material by learners of English as a foreign language with and without dyslexia: a comparative eye-tracking study

The article presents the results of the second part of an eye-tracking study conducted on Polish secondary school students working with a textbook for learning English.20 dyslexic and 20 nondyslexic school students worked with two sets of materials that had different graphic layouts but the same content.Their eye movements were recorded.The analysed data show that the arrangement of the material and images on the textbook page influence both the way the students (especially dyslexic ones) work with the book and their results.
Penerapan Data Mining Untuk Memprediksi Penjualan Buah Dan Sayur Menggunakan Metode K-Nearest Neighbor (Studi Kasus : PT. Central Brastagi Utama)

PT. Central Brastagi Utama is a supermarket that sells many consumer products including fruits and vegetables. There are many types of quality fresh fruit and vegetables that come from within and outside the country. Unfortunately, so far there is no system that regulates predictions or forecasts for fruit and vegetable sales at PT. Central Brastagi Utama. So that there is often an accumulation of goods, damaged and rotten goods, or even a shortage of goods that results in losses for the company. To solve this problem, a forecasting or Forecasting is needed. Then the Data Mining technique is used with the K-Nearest Neighbor method. It is hoped that using this technique can process the last 3 years of data into information that can help the company in providing stock of goods. The results of this research are the prediction of sales of a number of products, and determine which category of product sales are in demand, moderate or little.
Development of Healthy Diet Guidebook to Promote Healthy Lifestyle

This decade, the community has been experiencing a revolution in which the problem of malnutrition has been turned into a society that is experiencing food shortages leading to serious health problems. Adolescents also experience this problem especially for adolescents involved in food production such as catering. This is also due to the lack of knowledge about nutrition in the community especially among adolescents. Lack of exposure to nutritional care will take this problem further. The purpose of developing of the guidebook healthy diet style is to provide guidance on maintaining a healthy diet and maintaining proper nutrition in daily life. Individuals also have the opportunity to come up with a daily diet plan. The methodology chosen in the development of this guide book is to use the ADDIE model. The guide book developed has been certified by 5 experts from the faculty of the Faculty of Technical and Vocational Education and evaluated using the questionnaire form. Data processing is done using Microsoft excel software by assessing the frequency and percentage of the content list, presentation, design and clarity of the guide book. The percentage obtained was 98%. This indicates that the guide book developed is suitable for use as a guide. The results of the development of  the guidebook healthy diet style are expected to increase knowledge and provide guidance to the community on healthy diet.Keyword : Development, Guide, ADDIE, healthy
Pengembangan Buku Saku Digital Berbasis STEM Terhadap Pemahaman Konsep Matematis

This study aims to develop and determine the feasibility, response of students, and the effectiveness of STEM-based digital pocket book on students' ability to understand mathematical concepts in algebraic and PLSV forms of material. The subjects of this study were students of class VII SMP/MTs. This type of research is Research and Development (R&D) using the ADDIE model which includes 5 stages, namely: Analysis, Design, Development, Implementation, and Evaluation. The data collection instrument in this study was a validation questionnaire given to expert validators and a student response questionnaire. The results of the validation data analysis from the material expert and media expert were respectively found to have a mean value of 3.87 and 3.54 so that the digital pocket book was declared in the suitable category. The results of the analysis of the attractiveness response test data obtained a mean final score of 3.43 for small group trials and 3.6 for large group trials so that the digital pocket book developed was very interesting to use. The test of the effectiveness of STEM-based digital pocket books on students' ability to understand mathematical concepts could not be carried out because of limitations due to the COVID-19 pandemic which also had an impact on the learning process in schools. Therefore, this research and development is only carried out until the development stage.
ANALYSIS OF THE EFFECT OF ICT INVESTMENT ON SMALL AND MEDIUM ENTERPRISES’ SALES GROWTH IN SOUTH-WESTERN NIGERIA

This study assessed ICT investment, ICT strategic alignment, and performance of small and medium enterprises in southwestern Nigeria. A total number of 3,520 SMEs were selected with a three-stage sampling procedure across the study area. Both primary and secondary sources of data were employed for the study. Frequency distribution tables and rigorous analysis were used in analyzing both positive and negative factors influencing ICT investment.  Multiple regression analysis was used to analyze the hypothesis of the study. The result of the study revealed that there are both positive and negative factors that influence ICT investments by SMEs. Moreso, complementary factors, SMEs capital, ICT perception, business strategy, SMEs type, and ICT intensity all have high significant (p≤ 0.01) effect on ICT investment and SMEs performance. Years of experience (YREXP) has a negative effect on ICT investment and SME performance. The coefficient of the result is – 5.911 and R2 = 0.866 which means that 86.6% performance of small-medium enterprises in South Western Nigeria is being explained by the explanatory variables. Recommendations were made that SMEs’ owners should strategically align complementary factors such as (SMEs type, SMEs size, SMEs capital, SMEs ICT perception and business strategy) with ICT investment so that it can have a positive effect on their performance
Linguistic and cognitive aspects of translation and interpretation skills

Translation, as a multidisciplinary scientific field, receives a lot of attention from sociology, psychology, computer sciences, information technologies and from linguistics, from which it originates. With the advances in technology in the 21 st century, studies show that translation is not a sterile linguistic activity, but a reflection of a set of skills and capabilities of the translator/interpreter (T/I). In this respect, the formation of translation competence and related practices requires a thorough perception of worldwide affairs embodying value systems that a language holds framed through sociocultural practices. The achievement of the nature of both source and target languages, henceforth, allows for the establishment of effective linguistic competencies. In turn, such sociolinguistic, communicative, strategic, pragmatic and semiotic competencies provide the T/I with the opportunity to consider the translation/interpretation task from a variety of perspectives, all of which might initially seem independent of each other, but which are inherently correlated in their nature. Especially, the study of the physical properties of speech (phonetics/phonology) help interpreters perceive a wide range of sounds for fluency and strategic thinking. Therefore, it can be said that translation/interpretation is a communicative activity, to be recognized and acknowledged by practitioners more in the sense that language â€“ the tool of the craft â€“ is a reflection of value systems framed through sociocultural practices and a mindset formulated with critical and creative thinking. Coming to terms with this understanding is believed to play a key role in the way translation/interpretation is perceived and, hence, its success upon implementation. In accordance to this framwork, the present paper provides a set of key qualities that account for a T/Iâ€™s success.
Game Theory as a Strategic Tool

Game theory is usually considered to be associated with the card game, which is not unreasonable, as it was devised to increase the winning chance within such card games. It was first introduced by Charles Waldegrave in 1713 (Bellhouse in Journal Electronique d’Histoire des Probabilites et de la Statistique 3(2): 127–143, 2007). In general, the players of cards were thought to be clever mathematicians, with higher problem-solving skills.
Implementasi Algoritma C 5.0 Pada Analisa Data Potensi Pertanian dan Perternakan

The problems faced in UPPT in each region in the form of productive land changing functions into residential areas, industries, and business centers can result in a lack of land area for farming and livestock and bad weather conditions. One way to analyze the data is to apply or use data mining techniques. Where data mining is the process of analyzing large data into information to determine the pattern of the conclusions of the data being analyzed. The application of the C. 50 method which will later explore existing data and will form a decision tree, By analyzing the data on agricultural and livestock potential, the UPPT provides counseling in which areas are the types of farming and livestock business so that it does not have an impact on people's income and also reduces losses in trying to farm and raise livestock
Research Support Games List

The purpose of this document is to provide an aggregated list of games and game-related resources that are relevant to research support services. The term 'research support games' is here defined to mean any game - or play - based experience that is intended for use as an educational tool for training either researchers or researcher-supporting staff (e.g. librarians and research office teams). These games typically aim to improve research skills or to provide awareness of a topic that is relevant to working as a researcher, such as research data management, open access or copyright.
Research on the Construction of "Task-driven" Teaching Mode in "Electronic Technology" Course Teaching

Task-driven is a teaching method based on constructivist learning theory. It is an interactive teaching method that transforms the traditional classroom teaching based on teacher narration into designing teaching tasks for students to complete. Based on this, this article takes electronic technology teaching as the research object, and proposes a method of constructing a task-driven teaching model, in order to mobilize students' enthusiasm for curriculum learning and improve students' learning ability.
Provisional Permissioned Access for the Blockchain-Based Healthcare System

Today's insurers’ role is modifying toward a more protective and electronic manner. The insurance industry relies highly on multiple interoperations that require the transfer, storing, and sharing of transactions between related stakeholders. At the same time, maintaining security and privacy being one of the most significant challenges facing the insurance industry, especially health insurance. This paper introduces Blockchain as an efficient solution for sharing insurance-related transactions. The authors design a distributed system based on Blockchain for facilitating authorized access to transactions using Provisional Permissioned Access. The performance evaluation of the protocol showed verifying access through an accepted spent time.
Advanced Multilayer Perceptron Networks method for Predict the Survival in Liver Transplantation

Recently, the computerized medical domain based technologies are improved; liver transplantation (LT) plays a significant handling approach among liver disease patients.  However, in several cases patients may have poor survival rate of prediction when undergoes LT, this is the main concern faced in many scenario. Many scholars had performed various applications of prediction to overcome these challenges. Therefore, the current research is concentrated on designing accurate and effective prediction approach for using advance multilayer perceptron (MLP) technique. The proposed prediction technique is performed on some stages. In the initial stage, the medical data are collected from United Nations Organ Sharing (UNOS) database. From that UNOS, we taken only liver related information. The data are given to the principal component analysis (PCA), it will reduce the attributes dimension for minimizing the complexity. After that, the Advance MLP classifier will predict the attributes into two accurate classes such as, best survival and worst survival with the help of these prediction ranges the patients will definitely get the excellent survival after LT.
Temporal Big Data Analytics: New Frontiers for Big Data Analytics Research (Panel Description).

Big data analytics is an emerging research area with many sophisticated contributions in the actual literature. Big data analytics aims at discovering actionable knowledge from large amounts of big data repositories, based on several approaches that integrate foundations of a wide spectrum of disciplines, ranging from data mining to machine learning and artificial intelligence. Among the concrete innovative topics of big data analytics, temporal big data analytics covers a first-class role and it is attracting the attention of larger and larger communities of academic and industrial researchers. Basically, temporal big data analytics aims at modeling, capturing and analyzing temporal aspects of big data during analytics phase, including specialized tasks such as big data versioning over time, building temporal relations among ad-hoc big data structures (such as nodes of big graphs) and temporal queries over big data. It is worth to notice that temporal big data analytics research is characterized by several open challenges, which range from foundations, including temporal big data representation and processing, to applications, including smart cities and bio-informatics tools. Inspired by these considerations, this paper focuses on models, paradigms, techniques and future challenges of temporal big data analytics, by reporting on state-of-the-art results as well as emerging trends, with also criticisms on future work that we should expect from the community.