Reviewerly/exHarmony huggingface dataset:
Virtual museum media library as an information resource

The article discusses new approaches in education require new methods in working with information. If earlier the library and the teaching room were sufficient for the needs of the students and teachers,today there is a need to talk about the modern system of storing, processing and broadcasting of variousmedia didactic material. Such a system to date, in our opinion, can be a virtual media library equippedwith unique content created on the basis of such an authoritative institution as a museum that could seta bar of quality, providing the user with only encyclopaedically accurate information.
A Framework for Named Entity Recognition for Malayalam—A Comparison of Different Deep Learning Architectures

language processing A B S T R A C TInformation extraction (IE) is the process of extracting relevant and useful patterns or information from unstructured data.Named entity recognition (NER) is a subtask of IE that identifies entities from unstructured text documents and organize them into different predefined categories such as person, location, organization, number, date, etc. NER is considered to be one of the important steps in natural language processing which may find direct applications in areas such as question answering (QA), entity linking, and co-reference resolution, to name a few.NER systems perform comparatively well in high-resource languages such as English but there is a lack of well-developed NER systems for low-resource languages such as Malayalam, which is an Indic language spoken in the state of Kerala, India.This work is an approach in this direction which makes use of deep learning (DL) techniques for developing a NER system for Malayalam.We have compared different DL approaches such as recurrent neural networks, gated recurrent unit, long short-term memory, and bi-directional long short-term memory and found that DL based approaches significantly outperform traditional shallow-learning based -approaches for NER.When compared with some state-of-the-art approaches our proposed framework is found to be outperforming in terms of precision, recall, and F-measure and could achieve an improved precision of 7.89% and 8.92% of F-measure.
СПЕЦИФІКА МЕХАНІЗМІВ ЗДІЙСНЕННЯ ПСИХОЛОГІЧНОГО ВПЛИВУ СЛІДЧИМИ НА ПІДОЗРЮВАНИХ У ПРОЦЕСІ ПРОФЕСІЙНОЇ ДІЯЛЬНОСТІ

Introduction. Given the main purpose of the investigator - the disclosure of the crime - the specific difficulties that the employee has to face are natural, because in almost all cases a person suspected of committing a crime tries to oppose the investigation, hide the facts, put forward false motives and sequence actions that often require the use of psychological influence.Purpose. The purpose of this article is to describe the mechanisms and patterns of psychological influence of investigators on suspects in the course of professional activityMethods. The main research methods were general psychodiagnostic methods (questionnaires, surveys, observations) and statistical methods (factor analysis).Originality. the essence of psychological influence in investigative actions is quite multifaceted and requires empirical comprehension, which was noted by the author earlier (Babenko OO [1]). Based on the generalization of the results of the theoretical analysis of this problem, a model of legitimate psychological influence in investigative actions has been developed. This model describes two aspects of this influence: the aspect of the subjective characteristics of the investigator and the situational and object aspects of the psychological influence in the investigation. In particular, this model defines consistently functioning levels of legal consciousness (Zemlyanskaya OV [2]), personal characteristics of the investigator, his behavioral characteristics, methods and types of influence, techniques of influence. Also, this model reflects the influence of situational characteristics on the process of influence and features of the object of influence.Conclusion. Effective psychological influence is achieved through the following mechanisms: manifestations of the strategy of dominance in the behavior of the investigator; manifestations of demonstrativeness of the investigator and persistence of the employee; manifestation of traits of balance and perseverance in professional activities and interaction with the suspect; carrying out professional activities on the basis of emotional balance and attention to detail, which makes it possible to find a favorable situation for the interaction with the suspect; the ability to implement one line of conduct without "compromising" with the suspect, avoiding open conflicts and realizing the influence in a hidden form for the suspect. Effective psychological influence in the investigative process is hindered by manifestations of emotionality, sensitivity, change of the investigator's behavior strategy, achievement of "compromises" with the suspect and adjustment to him in the process of investigative actions.
PEMBELAJARAN ENGLISH PRONUNCIATION MELALUI MOBILE ASSISTED LANGUAGE LEARNING (MALL): POTENSI DAN HAMBATAN

TOWARD MALL IN LEARNING ENGLISH PRONUNCIATION: POTENTIALS AND PITFALLS In this era of technology, the use of mobile phone, which is wireless, personal, networking, and ubiquitous have influenced every aspect of human life. Using mobile technology in language learning would give opportunity to learn outside the conventional class and decrease English learning problems in EFL setting. By using mobile phone, the learners could access information and develop it across space, be connected to the others and explore their ability more. This study aimed at investigating the use of Mobile Assisted Language Learning (MALL) in learning English Pronunciation. This study was qualitative approach which employed case study as the method. The study involved 30 students English Education Study Program. The data are gathered from observation, questionnaire, and Focused Group Discussion (FGD). The result shows that the use of MALL has benefited the students in enhance their ability in English Pronunciation through ELSA Speak application. The pitfalls mostly lay in the problems of signal and network in the learning process. Thus, MALL should be integrated in learning English process since it is perceived to be useful to enhance students’ performance in learning English.
A NOVEL FRAMEWORK FOR PRIVACY-PRESERVING USING DATA AGGREGATION IN INTERNET OF THINGS (IOT)

Today with the development of Internet of Things (IoT) technology its security and privacy becomes very much essential because this technology provide the facility for accessing the devices or resources from anywhere and anytime. For providing the security and privacy to IoT various technology has been developed but in this we propose data aggregation mechanism in which it uses one-time pad and symmetric key to make our data secure and preserve the privacy of it. This mechanism takes less computation time, improve processing speed and also require less cost in implementation. The implementation of proposed approach is done in widely used Python technology which produce better results. In last the proposed mechanism provide more security and preserve our data.
Penerapan smart environment pada Pemukiman Kumuh di Bantaran Kali Code Kota Yogyakarta

The purpose of this study was to determine the application of a smart environment in slums inBantaran Kali Code, Kota Yogyakarta. To be able to obtain these objectives, the research meth-od used is to use a descriptive approach through a literature study. The location of this researchis by the case studies that have been determined namely in the Bantaran Kali Code YogyakartaCity. The data used in this study are secondary. The results of this study are the application of asmart environment to create an environment that provides comfort for residents, providesbeauty for those who see it both physically and non-physically. Smart environment and able tochange settlements that were initially dirty and dirty into clean and attractive settlements. Theidea of coloring houses is a good idea.
The Way of Constructing the Diversified and Joint Administration Model of School-Enterprise Cooperation and Education

With the rapid development of the world, the needs of society and enterprises for all kinds of talents are also increasing. Of course, the cultivation of application-oriented talents is the demand for the survival and development of students, as well as the training goals of major schools. Through school-enterprise cooperation, the employment rate of students can be effectively improved. However, due to the limitations of many conditions, the current diversified school-enterprise cooperation model also faces some problems. This article provides some measures for the problems that exist on the way and how to construct them.
Evaluation of Software and Architectural Design Requirement Specifications for Developing an Intelligent Tutor System for Learning Computer Networking in Universities in Nigeria

The purpose of this study is to evaluate software and architectural design requirement specifications for developing an intelligent tutor system (ITS) for learning computer networking.This study adopted survey design with a total population of 73 computer lecturers and 16 software developers.A structured questionnaire was used to obtain data from lecturers and software developers.Data collected was analyzed using mean and standard deviation to determine the appropriate software and architectural design requirement specifications for developing a tutor system for learning computer networking.It was observed that the enlisted software and architectural design requirement particularly for students are appropriate for developing an ITS for learning computer networking.Therefore, the proposed intelligent tutor system to be developed will provide and allow computer education students to improve their computer networking knowledge.Thus, improving learners' performance and cognitive development reduce time for the student to acquire skills and knowledge and bridge the gap of face to face interaction between lecturers and students, which will equally improve self-pace learning.
Analysis Of The Comparative Efficiency Of Russian Universities From 5-100 Program

The functioning of higher education is a priority area of state policy. Determining the importance of developing this sphere, it should be noted that the activities of universities should be measurable not only in terms of achieving specific indicators, but also in terms of the efficiency of using financial resources allocated from the federal budget. Management of the higher education system is a multi-level and complex process of distributing tasks to the level of higher educational institutions, the implementation of which ensures the achievement of goals defined by state policy. Considering the management of universities at the highest level, the government is the initiator of the impact, regulating the system of higher education and each university in particular not directly, but indirectly, through the formation of various kinds of short, medium and long-term target documents. In the work, based on the application of the dea method, an analysis was made of the comparative effectiveness of universities from the state development program 5-100. Leading universities were identified, and benchmarks were allocated for each less efficient university. The model was built on both input and output parameters, which allowed the authors to give recommendations on improving the effectiveness of universities and their achievement of benchmarks.
The Beginning of Ukrman – a Fighter against the Evil and the Coronavirus

Comics have a big task in Ukraine: Through them nation is built, historical events are discussed and identity is constructed. In 2018 Ukraine’s first superhero was introduced: UKRMAN. In the past, the Cossacks have been the heroes of Ukraine and were also portrayed in various comics. But in a time when the national integrity of Ukraine is tested through an armed conflict in the East, a new superhero is sorely needed. The comic combines the past (Communist era with the Chernobyl nuclear accident) and the present of Ukraine in a unique way. The article will show why the implementation of a new superhero (especially his look, his behavior and the background of the plot) is necessary for Ukrainian nation building. The symbols UKRMAN uses tend to unify the country by giving it a superhero everybody can identify him- or herself with. The message of the comic is that someone does not have to wear a cape to be depicted as a hero. The comic as the beginning of a project with videos and merchandise is the first one of that kind in Ukraine.
The Semantic Space of Social Networks: Book Review of “Networks 4.0. Complexity Management” / ed. by A.N. Raskhodchikov. Moscow: VCIOM, Social Research Agency “Stolitsa”, 2020. 132 p

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Wearable Sensor Data Visualization based on CNN towards Healthcare Promotion

With the technological revolution of wearable devices, advanced medical methods have emerged, such as telemedicine, image diagnosis, disease prediction, healthcare and so on. This paper is focused on the development of wearable sensor, using sensors embedded in smart watches to read people's basic bio-information. Using people's living habits, daily activities and health status by comparing the past one day's resume. Through the CNN visualization results and future expansion research, it will further and more intuitively display the regularity of people's lives and the amount of exercise. To promote active sports habits and living habits. It has a positive effect on solving the high-stress, high-intensity and sub-healthy lifestyles of today's society. At the same time, users can still have a sense of accomplishment.
Performa Algoritma User K-Nearest Neighbors pada Sistem Rekomendasi di Tokopedia

The biggest marketplace in Indonesia such as Tokopedia has data on e-commerce activities that always increase with time. Large data growth in Marketplace can cause problems for users. Buyers who have difficulty in finding the best product that suits their needs and sellers who have difficulty in promoting products that are often visited by buyers can be overcome. The recommendation system can overcome these problems by providing specific product recommendations to be promoted and offered to buyers. This research implements the Recommendation System using the Item Rating Prediction Method by applying the User K-Nearest Neighbors Algorithm. The Recommendation System provides recommendations based on ratings on products given by the buyer. Algorithm performance in Recommendation System is measured by the parameters of Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Normalized Mean Absolute Error (NMAE). The performance values obtained are RMSE = 0.713, MAE = 0.488 and NMAE = 0.122. Perfomance values below 1 proves that the User K-Nearest Neighbors Algorithm is suitable as a rating prediction model on recommendation system.
‘-E-’ type Intransitive Verbs and ‘-ar-’ type Intransitive Verbs in Japanese

The purpose of this paper is to discuss the meanings of ‘-e-’ type intransitive verbs and ‘-ar-’ type intransitive verbs and to clarify the problems in Kageyama(1996) and to redescribe the meanings of the two types. This paper also argues that, through the analysis of the timing of individual verb’s derivation and their meanings, it is possible to notice the semantic tendency of the derivation of the two types. ‘-E-’ type intransitive verbs denote the externally caused events that can take place without volitional agent and, there are many ‘-ar-’ type intransitive verbs that denote the events that presuppose the existence of agent. There have been many ‘-e-’ type intransitive verbs from ancient times, which mainly denote unvolitional events, and such a tendency has been reflected in subsequent derivation as well. ‘-E-’ types have taken up unvolitional events and consequently, ‘-ar-’ types have taken up the events that presuppose the existence of agent.
A Crowdsourcing Based Framework for Sentiment Analysis

As social networking has spread, people started sharing their personal opinions and thoughts widely via these online platforms. The resulting vast valuable data represent a rich source for companies to deduct their products’ reputation from both social media and crowds’ judgments. To exploit this wealth of data, a framework was proposed to collect opinions and rating scores respectively from social media and crowdsourcing platform to perform sentiment analysis, provide insights about a product and give consumers’ tendencies. During the analysis process, a consumer category (strict) is excluded from the process of reaching a majority consensus. To overcome this, a fuzzy clustering is used to compute consumers’ credibility. The key novelty of our approach is the new layer of validity check using a crowdsourcing component that ensures that the results obtained from social media are supported by opinions extracted directly from real-life consumers. Finally, experiments are carried out to validate this model (Twitter and Facebook were used as data sources). The obtained results show that this approach is more efficient and accurate than existing solutions thanks to our two-layer validity check design.
How to Teach Listening in Senior High School

Many teachers considered that listening is the most important skill of any other language skills(Aziez &amp; Alwasilah, 1996). Moreover, the discussion of an issue about the use of authentic listening material is just fierce in listening as it is in reading(Harmer, 2001). However, the teacher should have to look for the simplest method of teaching listening to overcome its difficulties; to teach it effectively; and to achieve the goals of teaching listening successfully, such as teaching students to acquire vocabularies, grammatical understanding, and good pronunciation.The Purposes of the study are to overcome the difficulties in teaching listening; to improve teacher’s creativity in teaching listening; and to provide the teacher with some alternative methods of teaching listening.Based on the study it can be concluded that, first, the effective listening will produce successful listening. Second, the reason of using listening in the classroom is to let the students to hear different varieties and accent of English instead of the voices of their teacher which may be full of idiosyncrasies. Third, the listening materials are geared with the students’ needs, levels, and interests. Fourth, there six principles for listening; Encourage students to listen as often and as much as possible, help students prepare to listen, once may not be enough, encourage students to respond to the content of a listening, not just to the language, different listening stages demand different listening tasks, and good teachers exploit listening texts to the full.
SKATE: A Natural Language Interface for Encoding Structured Knowledge

In Natural Language (NL) applications, there is often a mismatch between what the NL interface is capable of interpreting and what a lay user knows how to express. This work describes a novel natural language interface that reduces this mismatch by refining natural language input through successive, automatically generated semi-structured templates. In this paper we describe how our approach, called SKATE, uses a neural semantic parser to parse NL input and suggest semi-structured templates, which are recursively filled to produce fully structured interpretations. We also show how SKATE integrates with a neural rule-generation model to interactively suggest and acquire commonsense knowledge. We provide a preliminary coverage analysis of SKATE for the task of story understanding, and then describe a current business use-case of the technology in a restricted domain: COVID-19 policy design.
Virtual Reality in the Time of COVID-19 [Editorial]

Presents the introductory editorial for this issue of the publication.
Implementation of Naive Bayes Classification Method for Sentiment Analysis on Community Opinion to Indonesian Criminal Code Draft

Current developments of technology greatly facilitate the public to access information by both print media and social media.One example of social media that is widely used by the public is Twitter, because users can also comment on issues that are being discussed.One of them is an issue related to the controversy article in the draft law on criminal law to cause demonstrations conducted by students in several regions in Indonesia.Many people who think, both positive and negative opinions obtained from twitter.The method used in this study is the Naive Bayes Classification method which is a classification method with a simple probability that applies the Bayes theorem with high (independent) assumption.The advantage of the Naive Bayes method is that this method has high speed and accuracy when applied in large databases and diverse data.From the analysis, it was obtained a total of 3561 tweet data consist of 30.27% positive sentiment and 69.73% negative sentiment.Then from the classification result obtained an accuracy of 93.12%, a recall of 99.20%, a precision of 91.65% and an area under curve (AUC) value of 89.08%, which means the classification is very good.
Motivation and Awareness of Institutional Repositories by Students of Yogyakarta Islamic University of Yogyakarta and Yogyakarta State University

Background of the study: Institutional repositories are considered as one of the appropriate tools used by universities to store, preserve, and disseminate the scientific work of students and lecturers. Open access to institutional repositories allows students to access scientific works openly and they can get more complete parts of the work. However, there is another side of the institutional repository that has not received much attention, namely motivation and awareness about institutional repositories. Supported by data on student access to very high institutional repositories, this research was conducted at two universities in Yogyakarta, UII, and UNY.Purpose: This study aims to find out what motivations UII and UNY students to use institutional repositories and what is the awareness of UII and UNY students about institutional repositories.Method: The method used is qualitative with data collection techniques in the form of interviews with six UII and UNY students obtained based on snowball sampling techniques.Findings: The main motivation of UII students to use institutional repositories is to obtain references while the motivation of UNY students is because the institutional repositories are easy to use tools. In terms of awareness, UII and UNY students have a different awareness about institutional repositories which lie in knowledge, semester, understanding, medium, and willingness to store academic work in institutional repositories.Conclusion: Motivation and awareness are the two main keys that students must possess to succeed in the sustainability of the institution's repository.
Identifikasi Penentuan Skala Prioritas Penanganan Genangan Atau Banjir Di Kecamatan Karawang Barat

West Karawang District is a center of local activities with a service scope the whole Karawang Regional with most populous region by 142.509 persons. Based on Karawang Regional Spatial Plans Year 2011 – 2031, West Karawang Sub-district is a flooded vulnerable area when rain season. That area is along the Citarum River stream with. Priority scale determination of flood is done with comparison method of the existing flood condition with the parameters in Peraturan Menteri Pekerjaan Umum dan Perumahan Rakyat No.12 Tahun 2014 tentang Penyelenggaraan Sistem Drainase Perkotaan. There were 13 flood points in West Karawang District with the highest priority scale, Tanjungpura Sub-District. In Tanjungpura Sub-District, there are 3 flood points with a height of 50-30 cm, 1 Ha of flood area, and the length of flood lasts for 10 hours. The puddle is located in a densely populated residential area which causes a lot of losses to residents.