Reviewerly/exHarmony huggingface dataset:
Hierarchical features-based targeted aspect extraction from online reviews

With the prevalence of online review websites, large-scale data promote the necessity of focused analysis. This task aims to capture the information that is highly relevant to a specific aspect. However, the broad scope of the aspects of the various products makes this task overarching but challenging. A commonly used solution is to modify the topic models with additional information to capture the features for a specific aspect (referred to as a targeted aspect). However, the existing topic models, either perform the full analysis to capture features as many as possible or estimate the similarity to capture features as coherent as possible, overlook the fine-grained semantic relations between the features, resulting in the captured features coarse and confusing. In this paper, we propose a novel Hierarchical Features-based Topic Model (HFTM) to extract targeted aspects from online reviews, then to capture the aspect-specific features. Specifically, our model can not only capture the direct features posing target-to-feature semantics but also capture the latent features posing feature-to-feature semantics. The experiments conducted on real-world datasets demonstrate that HFTMl outperforms the state-of-the-art baselines in terms of both aspect extraction and document classification.
Evaluating On-going ESP Courses at Two Higher Education Institutions: Students’ Perspectives

As ESP is increasingly applied in many non-English departments of higher education institutions, evaluating the course is pivotal as it gauges to what extent the program is successful to meet learners' needs and the overall course goals.Hence, this study was set out to evaluate on-going ESP courses held in two private higher education institutions in Yogyakarta Province by evaluating three aspects: the ESP teachers, the course materials, and the course.The data were collected through an online survey of 149 students of Universitas Muhammadiyah Yogyakarta (UMY) and AMPTA Tourism College and processed with descriptive statistics.Overall, the results suggested that both institutions' students agreed that the three aspects met the set criteria, yet some implications worth take into account.Concerning the ESP practice at the Management Study Program of UMY, sub-aspects that needed improvement were teachers' monitoring during students' activities, the distribution of language skills in the materials, and the variety of learning activities.In the context of the Tour and Travel Business Study Program of AMPTA Tourism College, it demanded attention to teachers' preparedness before teaching, the skills and knowledge relatedness to students' future jobs, and the classroom size.
Analysis of Military Information Construction under the Background of Artificial Intelligence

On the basis of sorting out the development history of artificial intelligence technology and its status quo in military application, the paper discussed the challenges in military application of artificial intelligence technology in information warfare, constructed a framework for the application of artificial intelligence in the field of military information, and put forward constructive thoughts and suggestions on how to accelerate the intelligent application in the field of military information.
Sensitive to the Digital Touch? Exploring Sensory Processing Sensitivity and Its Impact on Anthropomorphized Products in E-Commerce

Individual characteristics have a strong impact on decision-making behavior in virtual environments, including interacting with virtual agents, avatars, or animated objects.Prior IS research on individual characteristics has mostly focused on constructs such as the Big Five personality traits, emotional intelligence, and social sensitivity to understand their effects on behavior in virtual environments.However, we believe how individuals receive, process, and react to sensory information at the basic level is critical for developing perceptions that influence online behavior, including towards humanized objects through the process of anthropomorphism.This study explores sensory processing sensitivity as an inherent individual characteristic and its impact on individuals' bidding decision towards humanized products in online auctions.Results show that sensory processing sensitivity has a positive impact on perceived anthropomorphism, which in turn strongly affects willingness to pay.
Electronic Educational Resources for Teaching Ukrainian as a Second Language

The article analyzes the effective electronic resources used in teaching Ukrainian as a second language. The authors highlight informational, educational, and controlling resources. Using electronic resources in the Ukrainian language teaching and learning process facilitates the development of an active vocabulary and critical thinking of the international students, lexical and linguistic competence, intensive study of phonetics, spelling, grammatical features of the language, and the diversity of the educational process. The significant effect of these resources in learning a foreign language is related to digitization and how it has affected the modern young generation, who cannot imagine their lives without varieties of gadgets. Mobile applications, which can be downloaded to any device, are designed for students to learn the lexical minimum, develop the correct pronunciation, improve their spelling and vocabulary, and practice making sentences. At the same time, the use of electronic resources when studying Ukrainian as a second language requires the students to be thoroughly self-organized and motivated. They are programmed only to reproduce a certain lexical or grammatical field, have no student-teacher or student-student feedback, aimed at checking the level of knowledge assimilation at a certain stage. Electronic resources should be used, under the control of a teacher, as a simulator for mastering the lexical minimum and grammar. These resources cannot replace communicative situations and speech cases, during which students actively use vocabulary and master speech constructions, and thus acquire lexical competence.
Globalization, Migration and Gender Equality: A Case from Okhaldhunga Village of Gorkha District

Globalization is an intense of social relationship and closer integration of the countries and peoples of the world as well as it is a process involving increasing liquidity and growing multidirectional flows of people, objects, places and information. To become global is to be worldly and to be conscious of the current scenario of the present. The main objective of this paper is to analyze the effect of globalization on gender equality in rural society of Nepal. For the same, the study limits on the changing gender roles of 50 respondents have been analyzed in Okhaldhunga Village of Palungtar Municipality word no.4 of Gorkha District. Theory of globalization is applied and primary and secondary sources of information are used in this study. One of the result of this paper is women are enjoying modern technology and are increasing involvement in various local institutions and governance. Even though they are not aware about education and to be more advance life like men but they claim that they are more advanced than the previous generation women.
Enhancing the feature-based 3D deformable face recognition using hybrid PCA-NN

&lt;p&gt;Facial recognition is one of the most important advancements in image processing. An important job is to build an automated framework with the same human capacity’s for recognizing face. The face is a complex 3D graphical model, and constructing a computational model is a challenging task. This paper aims at a facial detection technique focused on the coding and decoding of the facial feature object theory approach to data. One of the most natural and common principal component analysis (PCA) method. This approach transforms the face features into a minimal set of basic attributes, peculiarities, which are the critical components of the original learning image collection (or the training package). The proposed technique is a combination of the PCA system and the identification of components using the neural network (NN) feed-forward propagation method. This experiment proves that recognition of deformed 3D face is doable. By taking into account almost all forms of feature extraction and engineering, the NN yields a recognition score of 95%.&lt;/p&gt;
SISTEM PENUNJANG KEPUTUSAN DENGAN MENGGUNAKAN METODE AHP DALAM SELEKSI PRODUK

Decision Support Sistem Is A Concept That Can Be Applied To Help Humans In Decision Making. In this research, the problem that will be faced is how the process of determining or selecting a product that is most interested in a mini market by adopting the concept of a decision support sistem. The method to be used is the Analytical Hierarchy Process (AHP). This method is able to provide results in the form of number results from the selection process, the results given later will also give the calculation results of the criteria. The Criteria Are Price, Taste, Product Design, Aroma And Benefits. Based on the results obtained that the price has a priority value of 30-50%. The purpose of this study is to help the mini market to see which products are interested. Then the benefits obtained are to assist the Mini Market Manager to provide products of interest so that there is no accumulation of products resulting in losses
Local Translation Services for Neglected Languages

Taking advantage of computationally lightweight, but high-quality translators prompt consideration of new applications that address neglected languages. For projects with protected or personal data, translators for less popular or low-resource languages require specific compliance checks before posting to a public translation API. In these cases, locally run translators can render reasonable, cost-effective solutions if done with an army of offline, smallscale pair translators. Like handling a specialist’s dialect, this research illustrates translating two historically interesting, but obfuscated languages: 1) hacker-speak (“l33t”) and 2) reverse (or “mirror”) writing as practiced by Leonardo da Vinci. The work generalizes a deep learning architecture to translatable variants of hacker-speak with lite, medium, and hard vocabularies. The original contribution highlights a fluent translator of hacker-speak in under 50 megabytes and demonstrates a companion text generator for augmenting future datasets with greater than a million bilingual sentence pairs. A primary motivation stems from the need to understand and archive the evolution of the international computer community, one that continuously enhances their talent for speaking openly but in hidden contexts. This training of bilingual sentences supports deep learning models using a long short-term memory, recurrent neural network (LSTM-RNN). It extends previous work demonstrating an English-to-foreign translation service built from as little as 10,000 bilingual sentence pairs. This work further solves the equivalent translation problem in twenty-six additional (non-obfuscated) languages and rank orders those models and their proficiency quantitatively with Italian as the most successful and Mandarin Chinese as the most challenging. For neglected languages, the method prototypes novel services for smaller niche translations such as Kabyle (Algerian dialect) which covers between 5-7 million speakers but one which for most enterprise translators, has not yet reached development. One anticipates the extension of this approach to other important dialects, such as translating technical (medical or legal) jargon and processing health records or handling many of the dialects collected from specialized domains (mixed languages like “Spanglish”, acronym-laden Twitter feeds, or urban slang).
A Subsurface Geologic Feature Inferred from Relocation of Local Earthquakes in Al-Refaei District, Southern Iraq

For the last two decades, the District of Al-Refaei, southern Iraq, experienced several small to moderate size earthquakes that seem to be clustered in a relatively small area. The initial locations of these earthquakes from the available local and international bulletins show scattered events without any clear structural patterns. A seven-elements seismic array was installed for the period 2014 to 2018 to monitor this activity. Each element of the array consists of three-component Geospace GS11d high-frequency (4.5 Hz) geophone, a solar system power source, and telemetry communications system to transmit data to a central recording station. During the period of monitoring, the array recorded more than 56 earthquakes having a range of magnitude between 1.5 ML to 4.7 mb. Large number of the low magnitude earthquakes were not detected by other monitoring agencies; however, they were recorded by the array. Fifty-six of the most clearly recorded earthquakes were screened for relocation and analysis. Out of the 56 screened earthquakes, 35 were detected by the array alone. The majority of the selected earthquakes having their initial locations within the array. This improves the relocation process and increase accuracy. The relocated earthquakes express a clear pattern of a linear feature which strikes in the northwest-southeast direction. The direction of the newly inferred pattern coincides with the general tectonic setting of Iraq as it is parallel to Zagros suture zone and the general stress regime of the Arabian Plate. The depth of the relocated earthquakes ranges from about 3.9km to 8.9km. This indicates that these earthquakes occur along a shallow subsurface fault that was not mapped before.
IMPROVING SPEAKING SKILL THROUGH VIDEOS FOR JUNIOR HIGH SCHOOL STUDENTS

The aims of this research are: (1) to find out the use of video to improve the students’ speaking ability and (2) to find out the strengths and weaknesses of the use of video to improve the students’ speaking skills. This research was a classroom action research. To collect the data, the researcher used observation, interview, and the speaking test. The study reports that (1) the use of videos can improve the students’ speaking ability. The mean score of speaking skill in pre-test was 47,62, cycle I was 62,14 and cycle II was 75,95. (2) The use of video in the teaching of speaking had some strengths and weaknesses. The strength of video were the students felt enjoy when they watched the video and the students could get the ideas to speak from the real environment of the speaker. The weakness of video were less serious when they did a discussion, it made the situation on the class were noisy and were still awkward in using video as one of technology based English learning technique.
Google Meet as Learning Media for Vocal Techniques During the Covid-19 Pandemic

Nowadays, direct vocal learning practice becomes difficult because the world is facing the Covid-19 pandemic so that the search for alternative uses of learning media is carried out so that learning activities can be carried out.There is a symptom of the inability of students to apply breathing techniques, diction, and articulation when learning vocals.The use of Google Meet application technology as a learning medium is used for the application of breathing techniques, diction, and articulation.To achieve the goal, the research method used is action research in the classroom, assessing the use of the google meet application to improve breathing techniques, diction, and articulation.This application is an online video communication service that can invite up to 30 students.The results showed that the application of the Google Meet application has the ability to display vocal technique material well so that students can sing vocal works with good breathing techniques and articulation diction.
Music, Mathematics and Computer Science: History of Interaction

The lecture “Music, Mathematics and Computer Science” characterizes by concrete examples various aspects of interaction of these studies with each other by incorporating the apparatus of corresponding scholarly disciplines (set theory, probability theory, information science, group theory, etc.). The role and meaning of these aspects in the formation of an integral perception about music and in the realization of practical creative musical goals are educed. Examination of these questions is what the lecture studies are devoted to as part of the educational courses “Mathematical Methods of Research in Musicology” and “Informational Technologies in Music” developed by the authors for the students of the St. Petersburg Rimsky-Korsakov State Conservatory and the Herzen State Pedagogical University of Russia. The lecture “Music, Mathematics and Computer Science” is subdivided into two parts. The fi rst part, “Music, Mathematics and Computer Science: History of Interaction” examines the processes of interconnection and interpenetration of various fi elds of music, mathematics and computer science, spanning the period from Ancient Times to the turn of the 20th and the 21st centuries. The second part of the lecture: “Music, Mathematics and Computer Science: Particular Features of Functioning of Computer-Musical Technologies” (due to be published in the journal’s next issue) is devoted to examining various aspects of developing and applying computer-musical technologies in contemporary musical practice, including musical composition, performance and the sphere of music education.
How Motivation Shapes the Sharing of Information Security Incident Experience

Due to a massive rise in data breaches caused by negligent information systems users, organizations aim at deploying measures that help make people more aware of potential cybersecurity risks.One means to raise security awareness amongst coworkers is sharing information security incident experience.Yet, many employees refrain from speaking up.Organizations, therefore, must understand what motivates their workforce to open up and share experiences.Empirical results based on a survey with 385 respondents indicate that intrinsic motivators like strengthening the collaboration with coworkers enhance employees' sharing behavior.In contrast, extrinsic motivators such as monetary incentives or promotion opportunities do the opposite.Interestingly, outcome expectations differ significantly for gender.Our results are of high relevance for practitioners, as understanding employees' security incident experience sharing behavior can help to properly incentivize individuals to communicate their incident experience and mitigate the likelihood of future information security breaches.
Android Based Student Data Monitoring System

As of late, the Android Technology with web administrations has acquired numerous exceptional changes the versatile application advancement field.This application gives a summed up answer for screen the different works that are done by a College for overseeing it.The framework gives a straightforward interface to support of understudy data.It tends to be utilized by instructive foundations or colleges to keep up the records of students.The creation and the board of precise, state-of-the-art data with respect to a students' scholastic profession is fundamentally significant in the college just as colleges.Well-informed Connect manages all sort of understudy subtleties, scholarly related reports, college subtleties, course subtleties, educational program, batch subtleties, arrangement subtleties and other asset related subtleties as well.It will likewise have faculty subtleties, batch execution subtleties, students' subtleties in all viewpoints, the different scholastic notices to the staff and students refreshed by the college organization.It likewise encourages us investigate all the exercises occurring in the college.Various reports and inquiries can be created dependent on tremendous choices identified with students, batch, course, faculty, exams, semesters, and certification and in any event, for the whole college.
HoloLearn: An Interactive Educational System

The HoloLearn project is a sophisticated interactive educational system that attempts to simplify the educational process in the field of medicine, mainly, through the use of Hologram technology.The Hologram technology has been used in conjunction with the feature of user interaction, to take the whole educational process to a completely new level providing students with a different learning experience.The system is more dedicated to medical students as they must study diverse, complicated structures of the human body anatomy and its internal organs.HoloLearn is aimed at replacing the traditional educational techniques with a new one that involves user interaction with real-sized 3D objects.Based on the interview conducted with medical students from different universities and educational levels in Saudi Arabia, and the questionnaire results, it has been found that traditional learning techniques are insufficient/inefficient as they lack quality and most of the criteria that could qualify them to be highly effective as reliable learning materials.Therefore, there is an increasing need for new learning strategies/methods with enough capabilities to give the students the chance to perceive every concept they study, rather than depending on their imagination to picture what a human body looks like from inside, they need visual learning methods.From another perspective, teachers also face difficulties when explaining medical concepts, especially those related to human body structure and behavior.The currently available materials and sources are mostly theoretical.They promote indoctrination and a result-driven approach instead of engaging the students in a process of sharing knowledge and ideas from both parties i.e., teacher and students.In fact, students have to listen and read instead of practicing and exploring, consequently students are prone to loss of concentration and mental distraction during lessons repeatedly, while from another angle they suffer from long study hours and difficulties in retrieving information.The results of this project indicate that when combining the Hologram technology with the user interaction feature, the educational process can be highly improved, and can be much more creative and entertaining.
PANDEMIA DO COVID-19 E O ENSINO DE ENGENHARIA: DESAFIO ENFRENTADO PELOS PROFESSORES

The coronavirus pandemic (COVID-19) has had significant impacts on different segments of society, particularly on the education.The adoption of non-pharmacological measures to mitigate its effects, demanded that the educational system suddenly had to adapted to remote teaching.Given this, and taking into account that there is no forecast for the end of the pandemic, this cross-sectional study used an electronically form sent by the social networks, to identify the main difficulties and perceptions of engineering professors within this context.Fifty-two professors from different Brazilian states answered the questions.These professors work in the private and public universities.In general, the results showed that the time required to prepare teaching activities has been too long and professors needs to prepare complementary materials.Professors responded that they miss the direct contact with the students and understand that student learning has been equal to or worse than it was, before the pandemic.
Neural network models in the problems of semantic analysis of natural language texts.

The paper deals with the problem of text analysis focused on the formation of a semantic model of the subject area. A two-stage structure of the problem of semantic analysis is proposed, and the typology of text models used to determine features and form a target model is considered. Examples of the application of the neural network approach to various problems of the analysis of natural language texts are given.