Reviewerly/exHarmony huggingface dataset:
Virtual Education Impact During Pandemic Times

The objective of this article is to analyze the impact of virtual education in times of pandemic in Higher Education Institutions (IES), in Ecuador. In this sense, the Israel Technological University, located in Quito, was used as a research case. Methodologically, it is a study with a quantitative, descriptive approach, with a field design and a transactional cut. The population is made up of 2317 students and 58 teachers. Of this population, 598 students and 31 teachers responded online, for a sample of 25.8% and 53.4%, respectively. The survey was estab-lished as a technique and two questionnaires as an instrument, one for students and the other for teachers. As part of the conclusions, it is determined that the im-pact of virtual education in times of pandemic, both for teachers and students in Ecuador, has been mostly positive. A high level of satisfaction is handled by this type of format.
Using E-Reputation for Sentiment Analysis

In a competitive world, companies are looking to gain a positive reputation through these clients. Electronic reputation is part of this reputation mainly in social networks, where everyone is free to express their opinion. Sentiment analysis of the data collected in these networks is very necessary to identify and know the reputation of a companies. This paper focused on one type of data, Twits on Twitter, where the authors analyzed them for the company Djezzy (mobile operator in Algeria), to know their satisfaction. The study is divided into two parts: The first part was the pre-processing phase, where this research filtered the Twits (eliminate useless words, use the tokenization) to keep the necessary information for a better accuracy. The second part was the application of machine learning algorithms (SVM and logistic regression) for a supervised classification since the results are binary. The strong point of this study was the possibility to run the chosen algorithms on a cloud in order to save execution time; the solution also supports the three languages: Arabic, English, and French.
THE EFFECTIVENESS OF DEVELOPING STUDENTS’ ABILITY IN WRITING ENGLISH POETRY THROUGH HYPNOTIC WIRITNG

The small portion of teaching literature, especially poetry writing, which is available in the curriculum (K-13) makes students less able to practice writing poetry. The tenth graders at the National Immersion Senior High School (NISHS) Ponorogo are less able to explore the potential of literature in themselves. This research aims at helping the students by using hypnotic writing approach to improve the students' writing poetry. It employs an experimental research design by comparing the scores of the writing skills after implementing hypnotic writing. The result of the t.test is 6.09, compared with the value of the t.table with the degree of freedom (d.b = N - 1 = 20 - 1 = 19) = 2.09 and the significance level used is 5%. Therefore, it is clear that the value of t.test is higher than t.table (6.09 2.09). The finding shows that the post-test scores improve significantly. It means that the improvement of the ability to write English poetry through hypnotic writing in tenth-grade students at National Immersion Senior High School (NISHS) Ponorogo is effective, and the hypothesis is acceptable. The result of this study is expected to be an alternative in the techniques of writing poetry, especially at senior high school.
The CESAR project during the COVID pandemic

&amp;lt;p&amp;gt;CESAR (Cooperation through Education in Science and Astronomy Research) is a joint educational initiative between ESA (European Space Agency), INTA (Spanish National Institute for Aerospace Technology) and ISDEFE (Spanish state-owned consulting and engineering Company). Its main goal&amp;amp;#160;is to engage school students with STEM&amp;amp;#160;disciplines through the wonders of the&amp;amp;#160;Universe. The CESAR programme offers teacher training courses on Astronomy and&amp;amp;#160;Planetary&amp;amp;#160;Science topics to&amp;amp;#160;provide hints and inspiration for the use of space in school lessons to&amp;amp;#160;European&amp;amp;#160;educators and&amp;amp;#160;allow them to interact with scientists and experts too. These trainings had to be fully adapted to a virtual format due to the pandemic caused by the Covid-19 in a very short time scale.&amp;amp;#160;&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;Moreover&amp;amp;#160;a complete set of online activities, the so-called Space Science Experiences (SSE), was develop during this period for primary and secondary schools, providing them with different educational resources, such as: online labs, virtual tours, access to scientific data from ESA space missions, proposal of experiments&amp;amp;#8230;all within the inquiry-based learning framework.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;In this talk we will explain the process of design, development and classroom application of the on-line SSEs and present the lessons learned and success from this virtual approach.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
A GRAMMAR FOR INFORMATION SYSTEMS AND TECHNOLOGY COMPETENCIES

The description of Information Systems and Technology professional competencies requires the articulation of various concepts in an integrated structure.The definitions for these concepts are not consensual and the instantiations of the concepts are written in non-standard ways.This ambiguity can have a negative impact on the characterization and evaluation of professional attributes.This work carries out an analysis of several competency frameworks and proposes the application of grammatical classes for the concepts that make up the competency structure, aiming at greater transparency and clarity in the use of the concepts.To this end, a Backus-Naur Form grammar is proposed to standardize the writing of concepts.Seeking to validate the competency grammar, Information Systems and Technology professionals reported attributes of their occupations, observing the proposed grammatical rules.Afterwards, the exercise was replicated with practitioners from four other professional areas.
Raspberry Pi Based Intelligent Traffic Signal Control at Intersections

Traffic congestion has become a significant problem due to increasing vehicle usage. The main challenge is reducing traffic congestion and ensuring a smooth and safe traffic flow. Lately, image processing technology has been studied to improve traffic issues and make traffic light controllers more intelligent. It removes limitations in earlier standard traffic control systems. This paper proposes a traffic control system using Raspberry Pi and image processing techniques. The camera with a top viewing angle at the intersection monitors the four intersections in real-time. The captured images are processed using a series of image processing techniques. This method is performed on the recorded image to realize the identification and counting of cars. The Raspberry Pi calculates flexible green light duration based on the measured traffic density on the road. Most cars at intersections are given priority instead of cars with a small number. For the same amount, the system will prioritize vehicles on horizontal lane A first, along horizontal lane B, then along with vertical lane A, and finally along vertical lane B. The model was tested, and the model’s outcome was as expected.
Using Memory Forensics to Investigate Security and Privacy of Facebook

Facebook has changed the way people leave and communicate with each other. Remnants of Facebook activities and personal information are serious privacy and security concerns. The Facebook usage information includes traces of criminal activities such as child abuse, cyber bullying, political-related posts, and other offensive activities. The personal information includes usernames, passwords, email address, telephone number, etc. In this paper, we use memory forensics to extract the data remnants from the use of Facebook via a web browser on Windows operating systems machine. The results of our experiment demonstrate that we can acquire both personal data as well as Facebook usage activities data from the memory of the device. In addition, we show that memory forensics helps the forensics investigators to identify the offenders and report the actions to the law enforcement officials. For this experiment, we use various memory forensics acquisition and analysis software. For the acquisition part, we use a free software called Magnet Ram capture. This is an easy to use and captures the memory of the device. For the analysis part, we Bulk Extractor, which is also a free software. This tool has several scanners each scanner analyzes specific Facebook activity such email extraction, fore example. To carry out the experiment, we created several anonymous Facebook accounts to hide the identity of the researchers.
Fraud Transmission Mechanisms within Community: Peer-Concealing and-Revealing Effect

This study explored the transmission mechanisms of corporate fraud commission and detection, specifically focusing on the four effects of transmission within social network communities and the influence of network size and social distance on the transmission process based on Chinese listed corporations in the period 2008–2018. Our findings indicate that peer-concealing and -revealing effects exist within social network communities. The peer-concealing effect decreases the likelihood of being detected when committing fraud, especially for those with more and closer fraudulent peers. The peer-revealing effect increases the likelihood of being detected when committing fraud, especially for those with more and closer punished peers. There is no evidence supporting the peer contagion and vicarious punishment effect, even for corporations with more and closer fraudulent peers. Thus, an improved understanding of the transmission mechanism of corporate fraud commission and detection within communities is of great importance for regulators to take measures to prevent and detect corporate fraud. In addition, regulators should be aware of the deviant subculture and social distance in social network communities.
TEACHING WRITING RECOUNT TEXT THROUGH CLUSTERING TECHNIQUE AT 10Th GRADE OF MA DDI PULAU KIJANG

This study analysed teaching writing recount text through clustering technique, writing is the process of using symbols to communicate and recount is speaking or writing about past events. Students need to write their recount as final test at tenth grade in curriculum 2013, Not easy to make a good recount text it has generic structure, characteristic and students need much vocabulary to choose to make their sentences on recount text much better. The fact students has felt harder to make a recount text they may miss some of the events that are supposed to be recounted and gotten stuck in the middle. To solve their problem researcher brings clustering technique to make their recount text easier. The main purpose of this thesis is to find out the effect of using clustering technique towards student ability in writing recount text at tenth grade of MA Darud Da’wah Wal-Irsyad Pulau Kijang. This thesis is categorized as experimental research because it is intended to know the effect of clustering technique towards student ability in writing recount text at tenth grade of MA Darud Da’wah Wal-Irsyad Pulau Kijang, these subject of research were taken 1 class (tenth IPS) it contains 23 students. The research instrument that used in this thesis is the writing recount text test. There are two kinds of tests: pre-test and post-test used to find out whether there is a significant effect for students in that class. After the data had been collected by using test it was found that the pre-test average is 49.89 categorized E and post-test is 74.02 categorized C. the obtained t-observe was 4.19, whereas the t-table 2.074 for 5% and 2.819 for 1%, it means t-observe is higher than t-table (2.074 &lt; 4.19 &gt; 2.819) Ha was accepted while Ho was rejected. Since t-observe score was higher than t-table clustering technique is effective as media in students' ability in writing recount text at tenth grade of MA Darud Da’wah Wal-Irsyad Pulau Kijang. Based on the findings, the writer concluded that there is a significant effect of using the clustering technique as one of the media teaching writing recount text at tenth grade of MA Darud Da’wah Wal-Irsyad Pulau Kijang.
AN ANALYSIS OF READING COMPREHENSION OF FUNCTIONAL TEXT AT EIGHTH GRADE SMP KASIH LESTARI TEMBILAHAN

This research was conducted based on the problems found during the teaching and learning process in class VIII of SMP Kasih Lestari Tembilahan, specifically about students' understanding of the functional text. The problem found is that 50% of the students cannot understand the text they are reading, they cannot reach the KKM score, and Functional text is one of the texts in which students must be able to read and comprehend. This research is included in quantitative descriptive research. The population of this research is class VIII SMP Kasih Lestari Academic Year 2020/2021. The population and sample of this study were 23 people who were taken using the total sampling technique. The instrument used was an objective test. Data from students' objective tests are analyzed based on indicators and then interpreted and become research findings. Based on the results of the study showed that students of class VIII SMP Kasih Lestari: 1. The ability of reading comprehension in Main Idea Aspect showed at the poor level of 10 people out of 23 students (30,4%). 2. The reading comprehension ability in Reference Aspect showed at enough level of 10 people out of 23 students (43,4%). 3. The reading comprehension ability in Inference Aspect showed at the excellent level of 15 people out of 23 students (65,2%). 4. The ability of reading comprehension in Unfamiliar Word Aspect showed at the poor level of 15 people out of 23 students (34,7%). 5. The ability of reading comprehension in Factual Information Aspect showed at enough level of 5 people out of 23 students (43,4%). From the above research results, it can be concluded that students still experience many difficulties in reading comprehension, especially in functional texts by applicable rules. Furthermore, based on the results of this study, teachers are expected to be able to provide better teaching techniques, and students can do more exercises to improve students' reading comprehension abilities.
THE FACTORS OF STUDENTS’ SILENCE IN THE ENGLISH SPEAKING CLASSROOM PERFORMANCE AT ELEVENTH GRADE OF SMKN 1 TEMBILAHAN

The phenomenon of silent students often occurs in the learning process of English, especially in English speaking classes, where students do not respond to the teacher when the learning process is running, so this interferes with the smooth learning process. This study aims to determine the factors that cause students to be silent when learning in English speaking class and determine the dominant factor in the eleventh grade of SMKN 1 Tembilahan. This research is a quantitative descriptive study. This research instrument uses a questionnaire that contains 20 statements. Moreover, the total population is 459 students, and the total samples taken 25% of the total population, as many as 116 students. The sampling technique in this study was random sampling. The sample used in this study was the 11th-grade students of all departments in the SMKN 1 Tembilahan school. Based on calculating students' responses to 20 questionnaire statements, it was found that ten factors caused students to be silent when learning English. They are inadequate vocabulary, the inability to manage vocabulary, lack of understanding of English grammar, unconfident in their abilities, afraid of making mistakes, lack of pronunciation, feeling nervous while speaking, getting difficulty in understanding English material, afraid of being criticized, and feeling embarrassed to speak in front of the class. While the dominant factor comes from the indicator (students' proficiency), which has 4 points, the first point is that grammar understanding is still lacking, then the second point is a lack of self-confidence, and for the third and fourth points, they have the same point which is about vocabulary. Based on the results of the study, it can be concluded that the ten statements above are the factors that cause students to stay silent in learning English and the dominant. They come from the indicators (students' proficiency) in the eleventh grade of SMKN 1 Tembilahan, as the researcher explained above.
Pelatihan English for Tourism Berbasis Communicative Language Teaching untuk Staf Dinas Pariwisata dan Kebudayaan Kabupaten Kudus

Kudus is one of the regencies in Indonesia that has a lot of tourism potential such as nature, pilgrimage, and culinary tourism. The number of domestic and foreign tourists visiting Kudus increases every year. However, this enormous tourism potential is not adequately supported by the tourism human resources. Many staffs of tourism and culture department of Kudus still lack of English for tourism proficiency to interact with foreign tourists. This community service aims at increasing the English for tourism proficiency of the staffs of the tourism and culture department of Kudus through Communicative Language Teaching (CLT) based English training. This training was completed with role play practice in Cigarette museum of Kudus. Through this training, the staffs of tourism and culture department of Kudus can have good English for tourism proficiency that make them able to interact with foreign tourists and in the end increase tourism in Kudus. Kata kunci: English for tourism, pariwisata, communicative language teaching, staf dinas pariwisata dan kebudayaan
Powering up Rig Deformation: Shot Sculpting on DC League of Super-Pets

We present the shot sculpting toolset used on DC League of Super-Pets to enhance rig deformation in order to meet creative goals in animation shots. This toolset repurposes rigging tools, primarily Animal Logic’s proprietary deformation system Bond [Baillet et al. 2020], to give animators intuitive and flexible ways to expand upon a rig’s deformation stack and push the rig past its intended range of motion. Shot sculpting workflows have been fully integrated into our pipeline and designed for minimal playback speed loss, providing an overall seamless experience for artists.
Multi-stage attention for fine-grained expressivity transfer in multispeaker text-to-speech system

The main goal of this work is to provide fine-grained transfer of expressivity in various speaker's voices for which no expressive speech data is available. Our approach conditions a multispeaker Tacotron 2 system with latent embeddings extracted from phoneme sequence, speaker identity, and reference expres-sive Mel spectrogram. The proposed system utilizes attention modules for discovering local and global expressivity attributes. Additionally, location-sensitive attention is applied in the decoder to learn the alignment between phoneme sequence-Mel spectro-gram pair. In addition to conventional objective metrics for speech synthesis, we used cosine similarity and character error rate (CER) measures for the evaluation of transfer of expressivity and intelligibility. The obtained results demonstrate the presented cosine similarity metric for speaker and expressivity is consistent with the subjective evaluation. Thus, the usage of multiple evaluation measures provides a way to estimate the strength of emotions and the speaker's voice for transferred expressivity in the target speaker's voice. The obtained results show that presented fine-grained TTS systems performed better than the Tacotron 2 based baseline systems.
A Passive Network Synthesis from Two-Terminal Measured Impedance Characteristic

A linear high-frequency lumped-element model extraction from a two-terminal measured impedance by an improved element-by-element extraction method is described.This extraction method is extended to series and shunt resistors extraction as lossy elements of passive (linear) circuit network.The extracted linear circuit model from the two-terminal impedance of ideal and realistic passive networks is validated by SPICE simulations in a frequency domain.The extracted model can be used for more accurate electrical environment modeling and SPICE simulations of integrated circuits including external passive networks.An example of passive network synthesis from the two-terminal measured impedance by a proposed software is also presented.
Verbal Aggressiveness against Public Figures’ Language: An Analysis of Tweeps’ Comments on Twitter

Aggressive communicators take opportunities to attack the self-concept of others on Twitter. Among other Twitter users, public figures tend to receive more verbally aggressive comments. This study identified the forms of verbal aggressiveness contained in the tweeps’ comments and analyzed the underlying rationales of the tweeps to express such verbally aggressive behavior. From 120 tweeps’ comments analyzed, character attack was found in 10 tweeps’ comments (8.3 %), competence attack was found in 3 tweeps’ comments (2.5 %), physical appearance attack was found in 22 tweeps’ comments (18.3 %), the dominant kind of verbal aggressiveness—insult was found in 38 tweeps’ comments (31.8 %), the minor kind of verbal aggressiveness—malediction was found in 1 tweep’s comment (0.8 %), teasing was found in 33 tweeps’ comments (27.5 %), and profanity was found in 13 tweeps’ comments (10.8 %). Of all verbal aggressiveness forms, politicians received verbal aggressiveness in the forms of character attack, competence attack, physical appearance attack, insult, teasing, and profanity. Then, celebrities received all kinds of verbal aggressiveness. However, practitioners only received physical appearance attacks, insults, teasing, and profanity. Environmental influence, pseudonymity, and dissatisfaction became the primary rationales of the tweeps to attack the self-presentation of public figures on Twitter.
ВЕСТНИК ЗКУ

Annotation.Technology and computers have influenced the teaching and learning of English in Thai universities.A multifunctional learning management system (LMS) such as Moodle is integrated into English classrooms to improve student learning.To emphasize the importance of preparing teachers for the use of e-learning, it is important to study the facts that affect teachers when integrating Moodle into English classrooms and the opinions of students learning English with Moodle.Qualitative and quantitative approaches were used in this study.Moodle was also found to facilitate student-centered learning anytime and anywhere.In addition, it simplifies course management and helps reduce training costs and time.In addition, 50 students were asked questions about using Moodle, and the results showed that there were positive feedback about learning English with Moodle.However, there are some disadvantages to using Moodle in English teaching, as the study also addressed network and technical issues.
3D-Point Cloud dataset of various geometrical terrains in urban environments recorded during human locomotion

Depth vision has been recently used in many locomotion devices with the objective to ease the life of disabled people toward reaching more ecological lifestyle. This is due to the fact that such cameras are cheap, compact and can provide rich information about the environment. Our dataset provides many recordings of point cloud and other types of data during different locomotion modes in urban context. It can be used by wide range of researchers from different disciplines to improve the control of human locomotion assistive devices (e.g., prosthesis, exo-skeleton, or wheelchairs) using computer vision-based algorithms. In addition, it can be used to design vision-based detection systems to improve humanoid robots’ navigation over various terrains in urban environments.