Reviewerly/exHarmony huggingface dataset:
THE CORRELATION BETWEEN STUDENTS’ FAMILY SUPPORT AND ENGLISH LEARNING ACHIEVEMENT OF THE THIRD-YEAR STUDENTS AT THE ENGLISH STUDY PROGRAM OF UNIVERSITAS RIAU

This correlation research was conducted to discover the correlation between students’ family support and English learning achievement of third-yearstudents at the English study program of Universitas Riau. The instruments of the research were the students’ family support questionnaire and thestudent’s English learning achievement scores. The questionnaire, which consisted of 34 questions, was adapted from the Social Family SupportScale and adapted from Thoriq in 2013. The students’ English learning achievement was gained from their GPA (Grade Point Average) of Englishlanguage skills subjects; Listening Comprehension 1, 2, 3; Speaking 1, 2, 3; Reading Comprehension 1, 2, 3; and Writing 1, 2, 3. The population ofthis research was the third-semester students of the English study program at Universitas Riau, which comprised 110 students. A cluster randomsampling technique was used and this research involved 89 students as samples. The results show that the correlation between students’ familysupport and their English language skill learning achievement was categorized in the “moderate level”, the family support level was categorized as“high level” and their English language skills learning achievement was classified as “good level” and it was categorized as B+, and thecontribution of students’ family support for their English language skills learning achievement is 16.9%.
STUDENTS’ PERCEPTION ON THE USE OF WHATSAPP FOR LEARNING ENGLISH AT SMP ISLAM AS-SHOFA

This study aims to determine students' perceptions of the use of WhatsApp for learning English in SMP Islam As-Shofa and the differences between male and female perceptions about use Whatsapp. This research is a quantitative descriptive study involving 2 classes totaling 50 students. The instrument used is a questionnaire to get data easily during the pandemic. Data collection was carried out by distributing online questionnaires to 9th-grade students of SMP Islam As-Shofa via group Whatsapp to the students. The data were analyzed using a Likert scale to determine students' perceptions of using Whatsapp for learning English. The results showed that learning through whatsapp was quite feasible to use with the results of a percentage of 40% having a positive perception and for the difference between male and female students with a percentage of 24.4% of male students answering agree for positive perception, and with a percentage of 21% female students answering agree for positive perception, while for the negative perception, the result with a percentage 45.2% students answered disagree and with a percentage 22.4% female students answered disagree.
Fast Mining High Utility Itemsets with Multiple Minimum Utility Thresholds

Abstract High utility itemset mining (HUIM) is a hot research topic andhas been extensively studied in the literature. In this paper,we study the problem of HUIM with multiple minimum utility thresholds, and develop an efficient algorithm named FHUIM. A comprehensive empirical study shows that FHUIM significantly outperforms the state-of-the-art algorithm MHUI in terms of runtime, memory consumption and number of candidates.
Collisional S-matrix for the vibrational dynamics of H+H<sub>2</sub> by quantum computing

Abstract An algorithm and a system of quantum circuits are developed and applied to compute accurately the S matrix for the transitions between vibrational states of H 2 for collisions with H. The algorithm was applied to 100 eV laboratory collision energy at a quantum circuit simulator. The effects of the discretized dissociative continuum to the transition cross sections are carefully studied and accuracy and convergence of the results with the chosen parameters of the algorithm and the collision system are verified by comparison with a solution of the time-dependent Schrodinger equation using the classical algorithm as well as comparison with a few results from the literature.
Affinity-based geometric discord and quantum speed limits of its creation and decay

In this article, we define a faithful quantifiers of bipartite quantum correlation, namely geometric version of quantum discord using affinity based metric. It is shown that the newly-minted measure resolves the local ancilla problem of Hilbert-Schmidt measures. Exploiting the notion of affinity-based discord, we derive Margolus-Levitin (ML) and Mandelstamm-Tamm (MT) bounds for the quantum speed limit time for the creation and decay of quantum correlation. The dynamical study suggests that the affinity measure is a better resource compared to entanglement. Finally, we study the role of quantum correlation on quantum speed limit.
Evaluation of the Implementation Integrated Biological System Industrial Wastewater Treatment Plant: Pollutant Removal, Operational Maintenance, Estimation of Carbon Emission

The development of WWTP in business activities needs to pay attention to getting appropriate WWTP that is more valuable to support sustainable development. This study aims to evaluate two systems of integrated biological WWTP; anaerobic-wetland, and anaerobic-aerobic-wetland, including the effectiveness of pollutant removal, operational and maintenance, and estimation of carbon emissions. The performance of pollutant removal was evaluated by analyzing inlet and outlet samples of WWTP. An operational and maintenance evaluation was carried out by studying the WWTP operating system and maintenance procedures supported by a literature review. Carbon emission estimation was carried out using a formula referring to the IPCC Guidelines (2006). Organic matter removal of anaerobic-aerobic-wetland WWTP in the form of BOD₅ and COD are 92.12% and 91.72%, respectively, higher than anaerobic-wetland WWTP are 88.69% of BOD₅ and 77.62% of COD. Anaerobic-aerobic-wetland WWTP needs more maintenance and operation than anaerobic-wetland WWTP. The highest carbon emission of both WWTP is 41530.91 kgCO₂ eq/year of anaerobic-wetland WWTP from the organic matter removal process and 46485.15 kgCO₂ eq/year of anaerobic-aerobic-wetland WWTP. Electrical energy consumption emits in anaerobic-aerobic-wetland WWTP is 22338 kgCO₂ eq/year higher than anaerobic-wetland WWTP at 4299.70 kgCO₂ eq/year. Total carbon emissions of anaerobic-wetland WWTP is 47404.58 kgCO₂ eq/year and anaerobic-aerobic-wetland WWTP is 68900.23 kgCO₂ eq/year.
THE TEACHER'S PERSONALITY IN ONLINE TEACHING AS A BASIS FOR SUCCESSFUL ACADEMIC COMMUNICATION WITH THE STUDENTS

The teacher's personality in the online environment is presented mainly through the voice, as academic instructors rarely appear with an image in the video link. Therefore, the speaker must use different modulations and prosodies. The study analyzes dialogues and monologues presented online. On this basis, an attempt was made to determine the types of personalities among teachers.
FORMATION OF ECOLOGICAL CULTURE OF STUDENTS COMPREHENSIVE SCHOOL

The article deals with the problems of the formation of ecological culture of students in the process of educational activities in the Dagestan secondary school. Based on the results of experimental work in Dagestan schools, models for the formation of ecological culture and the pedagogical conditions for their implementation are substantiated.
Unified Navigational Approach for an Autonomous Vehicle Joining a Multilane Highway from Ramp

Navigating an autonomous vehicle through a circular ramp to join a multilane highway having high-density traffic is a very challenging task. Occupant and vehicle safety are the major considerations while establishing merging scenarios. This article proposes and experimentally implements safe and tactical navigational procedures for merging and leaving the highway scenario using the rendezvous guidance (RG) technique and its modified form. Test scenarios have been established for navigating AVs to merge and leave the highway on a multilane highway with or without the presence of any other vehicle in the zone. In addition, the navigation with enhanced performance of the modified RG algorithm is also established and compared to the conventional RG algorithm. The results indicate that time is reduced considerably by using the modified RG technique. The experimental and simulation results are compared, and their results are the same.
BINOMIAL METHODS FOR BINARY MESSAGE COMPRESSION

Two lossless numerical compression methods for binary messages using binomial coefficients are proposed. The methods are based on the decomposition of a Bernoulli source of information into a combinatorial source A and a probabilistic source B. Accordingly, the entropy of the source is also decomposed into two entropies. The entropy of source A solves the problem of enumeration encoding of compressible messages, and the entropy of source B for the first method solves the problem of optimal coding. The disadvantage of this method is the need for statistical tests. In the second method, the calculation of the maximum value of the entropy of the source B replaces the optimal encoding. This replacement avoids statistical tests, although it leads to a relatively small redundancy of compressed messages, which decreases as their length increases. The work of the methods is shown on specific examples, which allows you to better understand both the idea of the methods and their practical implementation.
Research on the intelligent analysis of short video content based on virtualization technology

At present, the production volume of short video is huge, which enriches the total amount of short video resources, but it also brings considerable difficulties to the subsequent management audit and distribution push. This paper combed the short video content analysis technology difficulties, to respectively introduce the virtualization technology and intelligent analysis related algorithm, using virtualization three objects and CNN algorithm in the background of virtualization technology the intelligent technology, which is widely and in-depth application in short video content analysis, and points out the later algorithm optimization direction, to provide technical support and driving force for industry development.
Learning Chess and NIM with Transformers

Representing a board game’s state space, actions, and transition model by text-based notation enables a wide variety of NLP applications suited to the strengths of language models. These few shot language models can help gain insight into a variety of interesting problems such as learning the rules of a game, detecting player behavior patterns, player attribution, and ultimately learning the game in an unsupervised manner. In this study, we firstly applied the BERT model to the simple combinatorial Nim game to analyze BERT’s performance in the varying presence of noise. We analyzed the model’s performance versus three agents, namely Nim Guru, a Random player, and a Q-learner. Secondly, we applied the BERT model to the game of chess through a large set of high ELO stockfish games with exhaustive encyclopedia openings. Finally, we have shown that model practically learns the rules of the Nim and chess, and have shown that it can competently play against its opponent and in some interesting conditions win.
Young Generation Media Literacy on Utilization of Detik.com Online News Media

Current communication technology supports the flow of information exchange. For those who can take advantage of communication technology, are also those who can play the role of producers, consumers, distributors to information manipulators. The fast flow of information delivery is feared by readers who are unable to distinguish between factual news and hoaxes. This can be anticipated by being equipped with media literacy skills. Currently, the younger generation (millennials and Generation Z) are those who are predominantly consumers of digital information. They are the ones who take advantage of the use of internet-based communication technology, especially in obtaining information. However, the problem is that Indonesia's literacy level is fairly low. Detikcom asa pioneer of online news media in Indonesiahas contributed to delivering news for news readers. However, there are still many who have not maximized the use of detikcom as a reference source for reading, especially for the younger generation. The purpose of this study is to determine the media literacy carried out by young towards the use of the detik.com application or site. This study uses qualitative research methods with a case study approach and detikcom as the object of research. The results of this study concluded that readers from the younger generation have adopted a media literacy attitude as a provision to face the fast flow of information. The media literacy they do on detik.com as a news source has met the stages of access, understanding, and analysis, but not at the production stage.
Public Perception and Attitude on Fact-checking: A Case Study from Indonesia

Fact-checking, for over a decade, is part of misinformation debunking strategies. This initiative, during the period, get pros and cons regarding to its effectiveness. In the midst of the controversy, it is necessary to figure out whether this practice is widely known and public perception and attitude towards fact-checking. Survey was conducted to gather data from 13 provinces in Indonesia. The provinces were elected in purpose to represent three are in Indonesia namely west, central, and east. Quota sampling based on age group category was proportionally utilized regarding to sampling techniques (N= 846). Research depicts fact-checking is not popular among the respondents particularly women, people with low level of education, and the older generation; thus, many of them rarely did fact-checking. Liputan6, Kompas, and Cekfakta.com are the most popular fact-checking organization while fact-checking by the government is the least popular. Most of the respondents have a positive perception and attitude on fact-checking such as reading, re-share, and discussing the clarified information with other people.
Improved mayfly optimization algorithm by adaptive random opposition-based learning

An adaptive random reverse learning mayfly algorithm is proposed to overcome the shortcomings of mayfly optimization. Specifically, hyperbolic tangent function is used as adaptive curve to flexibly optimize the personal experience and social experience coefficients of the algorithm, so that the algorithm can better balance the global and local search capabilities through the evolutionary iterations. In addition, on the basis of elite mayfly in each generation, random reverse learning mechanism is used to expand population diversity and speed up algorithm convergency. The calculation results of several test functions show that the algorithm presented has good convergence accuracy and improved algorithm performance.
THE CORRELATION BETWEEN SOCIAL MEDIA ACTIVENESS AND VOCABULARY MASTERY OF THE ENGLISH DEPARTMENT STUDENTS OF UNIVERSITAS RIAU

The aim of this research is to discover the correlation between social media activeness and vocabulary mastery of the English department students of Universitas Riau. The population of the research is all third-year students of the English department of Universitas Riau. The number of samples is 117 students. The research instruments are 1) a questionnaire, and 2) a test. The questionnaire is for the data on social media activeness while the test is for the data on vocabulary mastery. To analyze the data, the researchers employed IBM SPSS Statistics 25. The data analysis revealed that the mean score of the student’s social media activeness is 20.2, classified as 'high' level, whereas the mean score of the student’s vocabulary mastery is 69.3, categorized as 'good' level. Additionally, the research finding showed the correlation coefficient of the two variables is 0.480, denoting a positive and moderate correlation. Also, the determinant coefficient is 0.2304, which implies social media activeness has a 23% influence on the students' vocabulary mastery, leaving the other 77% to other factors. Having discovered that there is a moderately significant correlation between social media activeness and vocabulary mastery, it is suggested that the students need to start utilizing their social media well and wisely. Besides providing entertainment, social media can be a great platform for students to improve their English vocabulary mastery.
Trade-off between Image Quality and Computational Complexity: Image Resizing Perspective

This study proposed a new approach for resizing image deal with quality and computational complexity. Here, previous methods in image resizing do analytical works to approximate the original picture element (pixel) or to remove high frequency coefficients. For images with huge pixel, this will result in computational burden due to number of multiplication and addition in the synthesized formula. Instead of the works, this study proposed a new approach in removing the coefficients by exploiting the second-order block matrix without the need to synthesize the formula. It can be called a fully numeric image resizing method. The result shows that the resized version of original image has peak signal to noise ratio (PSNR) equal to 35.24 dB for resizing the famous Lena image which means compareable to the conventional which has PSNR value around 35 dB but here deriving analytical formula is not required. Reducing computational complexity is also achieved as expected with result only 16 addition involved with no multiplication required. This is lower than the conventional in term of computational complexity. Overall, the proposed method has a good balance for both performances than the conventional approaches.
EmgAuth: Unlocking Smartphones with EMG Signals

Screen lock is a critical security feature for smartphones to prevent unauthorized access. Although various screen unlocking technologies, including fingerprint and facial recognition, have been widely adopted, they still have some limitations. For example, fingerprints can be stolen by special material stickers and facial recognition systems can be cheated by 3D-printed head models. In this paper, we propose EmgAuth, a novel electromyography(EMG)-based smartphone unlocking system based on the Siamese network. EmgAuth enables users to unlock their smartphones by leveraging the EMG data of the smartphone users collected from Myo armbands. When training the Siamese network, we design a special data augmentation technique to make the system resilient to the rotation of the armband, which makes EmgAuth free of calibration. We conduct extensive experiments including 53 participants and the evaluation results verify that EmgAuth can effectively authenticate users with an average true acceptance rate of 91.81% while keeping the average false acceptance rate of 7.43%. In addition, we also demonstrate that EmgAuth can work well for smartphones with different screen sizes and for different scenarios when users are placing smartphones at different locations and with different orientations. EmgAuth shows great promise to serve as a good supplement for existing screen unlocking systems to improve the safety of smartphones.
Real Exchange Rate Misalignments in Tanzania

The study uses a real exchange rate equilibrium (REER) technique to examine real exchange rate misalignments in Tanzania, through the cointegration technique. The empirical findings reveal that the real exchange rate misalignment has decreased significantly over recent years, and the real effective exchange rate has been evolving close to the long-term equilibrium. The findings strongly suggest that the underlying monetary and exchange rate policies were crucial in bringing the real exchange rate back to equilibrium in line with medium-term fundamentals recently. As a result, it is suggested that the existing monetary and exchange rate policies be maintained. While the monetary policy will contribute to real exchange rate stability through low inflation, flexible exchange rate policy will contribute to real exchange rate stability through nominal exchange rate adjustment.
villager: A framework for designing and executing agent-based models in R

Villager is an agent-based modeling framework: it prescribes a convention and interface for modelers to create and run agent-based models (ABM).The framework is aimed at researchers in the social sciences who are focused on modeling human populations.The key features of villager are:1. Scalability: villager makes extensive use of the R6 class system (Chang, 2020), enabling the power of reference semantics without the hurdles of manual memory management.This enabled an architecture design where user-supplied functions are run within the framework.The reference semantics also enable cheaper memory operations by allowing for the mutation of agents in-place rather than costly copy semantics.2. Extensibility: villager exposes a number of classes that can be extended by domain scientists to provide flexibility in experiment design.The extended classes can be "plugged" into the villager framework and run seamlessly.Together, these two features allow researchers to design ABMs with flexible requirements-both functionally and computationally.
Inverting for dynamic stress evolution on earthquake faults directly from seismic recordings

Dynamic stress evolution during earthquake rupture contains information of fault frictional behavior that governs dynamic rupture propagation.Most of earthquake stress drop and evolution studies are based on kinematic slip inversions.Several dynamic inversion methods in the literature require dynamic rupture modeling that makes them cumbersome with limited applicability.In this study, we develop a fault-stress model of earthquake sources in the framework of the representation theorem.We then propose a dynamic stress inversion method based on the fault-stress model to directly invert for dynamic stress evolution process on the fault plane by fitting seismic data.In this inversion method, we calculate numerical Green's function once only, using an explicit finite element method EQdyna with a unit change of shear or normal stress on each subfault patch.A linear least-squares procedure is used to invert for stress evolution history on the fault.To stabilize the inversion process, we apply several constraints including zero normal slip (no separation or penetration of the fault), non-negative shear slip, and moment constraint.The method performs well and reliably on a synthetic model, a checkerboard model and the 2016 Mw 5.0 Cushing (Oklahoma) earthquake.The proposed fault-stress model of earthquake sources with inversion techniques such as one presented in this study provides a new paradigm for earthquake source studies using seismic data, with a potential of deciphering more physics from seismic recordings of earthquakes.
Virtual Reality Broken Plant Tutorial for Capstone Design

Providing student capstone teams with an opportunity to demonstrate their design competency and complete a team challenge inside a full-scale chemical processing plant provides a novel learning opportunity. A full-scale virtual reality (VR) chemical processing plant was built as an immersive learning application for the Chemical Engineering and Engineering Chemistry capstone design course at Queen’s University in Kingston. During their capstone design course, student teams are required to work on the design of an ampicillin processing facility and the VR application was designed to provide a high-fidelity representation of an operating plant, including a piping and instrumentation diagram (P&amp;ID). To examine the impact of this new VR learning tool, a broken plant exercise was designed to examine the efficacy of the application. The student cohort was divided into two groups for the exercise; paper-based, and web VR based. Each group completed several surveys and a tutorial problem. Initial quantitative results comparing the survey responses from both groups will be presented.