Reviewerly/exHarmony huggingface dataset:
협상에 드러난 언어자각 양상 고찰 -대학 신입생들의 협상 수행 보고서를 중심으로-

This paper categorizes the aspects of language awareness of negotiations revealed by learners into identity, agenda, readiness, relationship with counterparties, strategy, and solution stage. Of course, in addition to these aspects, language awareness has been raised in various aspects, but there are aspects that are insufficient to generalize, so it has been categorized into six categories.This aspect of language awareness can be said to be a major problem consciousness recognized by learners during the negotiation process. In addition, this aspect is important in that it is an area in which the necessity to be fully aware of the educational content is raised when learners learn negotiations in the educational field by returning educationally.However, it can be said that this paper only deals with the aspects of language awareness that have been exposed to learners of some age group, and reveals certain limitations in that it has been observed and analyzed indirectly through reports or interviews of learners.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE TEAM GAMES TOURNAMENT (TGT) DALAM UPAYA PENINGKATAN HASIL BELAJAR FIQIH SISWA DI KELAS II MADRASAH IBTIDAIYAH NEGERI 6 LANGKAT BOHOROK

Student learning outcomes by establishing a Team Games Tournament (TGT) Type Cooperative Learning Model have improved quite well. Before the class action (PTK) was carried out for the initial test, the average score of the Islamic Civilization History class II class II Madrasah Ibtidaiyah Negeri 6 Langkat Bohorok, which amounted to 31 students, was 70 (moderate category) and the standard deviation was 8,116. After the class action was carried out in cycle I for the first final test, the average score of Islamic Civilization History subjects increased to 74 (moderate category) and the standard deviation was 6.825. Followed by class action in cycle II for the second final test, the average value of Islamic Civilization History subjects increased to 80 (high category) and the standard deviation was 4.479 with a minimum completeness criteria value (KKM) of 65. Next, the correlation between the initial test and cycle I was 0.766. (quite significant category) with a t test value of 6.53, and the correlation between cycle I and cycle II was 0.95 (very significant category) with a t test value of 16.578. And before the action was carried out the average attendance rate of students was 80%, after the action was carried out in the first cycle it became 89%, in the second cycle it was 100%. In general, students learn to be more independent. Keywords: Classroom action research (PTK), Cooperative Learning Model Type Team Games Tournament (TGT), Student Islamic Civilization History Learning Outcomes
BLOCKCHAIN FRAMEWORK FOR MEDICAL HEALTHCARE RECORDS

Electronic health records (EHR) are the digital version of a patient’s medical paper chart. EHRs are patient-centered records that make information available instantly and these are secure and can be accessed only by authorized users. A patient stricken by a heavy medical condition needs to maintain the long history of the treatment method and post-treatment rehabilitation. Storing and sharing knowledge between multiple entities and maintaining access solely complicate the method of a patient’s treatment. This paper introduces a record storage system by implementing blockchain technology to store the data that helps to realize integrity and security. By incorporating medical records in a blockchain, genuineness and rigidity of records will be typically maintained; that put together helps to remain the data safe from third parties. Our system presents ways in which the authority can maintain the medical records with efficiency. Authorities like hospital management and patients can be authorized to add and access the information within the medical records.
Decision support system for determining the location of Iwang restaurant branches using weight product method

Restaurant Iwang is a business in the field of food originating from Betawi (Tanah Abang), currently, the satay Betawi business is growing rapidly, because of this development, more and more people are making similar businesses. However, despite many similar businesses, Mr. Iwang's satay stall continues to get a good response from the community so that it has 2 branches with 1 center at Mas M1 Airport. because he saw a huge opportunity, Mr. Iwang was increasingly determined to build a bigger branch so he could continue to expand his business. But his determination could not be realized due to a lack of resources. Therefore, this research was conducted to make a good decision on where the branch will be built with a franchise system. With a Decision Support System to determine the appropriate place as the location of the franchise using the Weight Products (WP) method, the results of the decision will be used to assist Mr. Iwang in making a decision. The result will be information about the suitability of a location that will be provided by the franchise. This method is done by rating technique where the rating is raised with the weight of the rating attribute in question. The result shows that for the decision to open a new branch restaurant for restaurant Iwang has three rankings. The first ranking priority at location A1=” Ruko Malabar Market”, the second-ranking priority at location A3=” Ruko Cibodas, PAM”, and the third-ranking priority at location A2=” Ruko Pasar Lama”.
ShareConn: An Information Sharing Website

In rich environments, online forums encourage users to post questions and comments on various topics. Understanding how people behave in online forums can shed light on the fundamental processes by which a community of individuals builds collective thought, but it also has important practical applications, for example, to enhance the user experience, to increase participation, or to automatically recognize bullying. Importantly, user-generated data sets in comparison to other data sources in social computing are often freely accessible for researchers. Thus, we aim to develop a website where users can interact with each other by sharing photos, videos, and other media under specific communities called ShareConn(s). A community aspect is lacking on social media websites and we will try to include features like SubConn in our website to inculcate this culture of community and togetherness.
Cloud computing and security challenges

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Social And Professional Adaptation Of Future Graduates Of Vocational Training Institutions

The specificity of vocational education organizations lies in the training of practice-oriented qualified specialists for business entities of various organizational and legal forms of ownership and types of activity.The modern labor market requires from a graduate of a vocational training institution, in addition to high professionalism and responsibility, psychological readiness for various difficult situations, a significant role is played by the need to constantly improve themselves, both professionally and personally.However, research results, including the results of social surveys conducted among employers, show that the majority of graduates of vocational training institutions have no or poorly expressed skills of social interaction, the experience of team working, the ability to find constructive solutions in complex conflict situations, self-confidence and low level of competence in solving arising social problems, which indicates a low level of their social and professional adaptation.For a long time, the problems of "young specialists" adaptation have been thoroughly considered by both scientists and practitioners, but the process of adaptation is analyzed mainly from the point of view of "personality and environment", while this process is not only of biological, psychological, social and managerial nature but is also one of the urgent pedagogical problems.The article presents the opinion of employers about the professional and personal qualities of graduates, offers pedagogical conditions that contribute to the social and professional adaptation of future graduates of vocational training institutions, in which an important place is occupied by the social partnership with employers, production practice, and developed student self-government.
Research on the Application of Computer Big Data Algorithms in Artificial Intelligence Technology

The paper takes the realization process of an artificial intelligence speech recognition system that can recognize numbers 0-9 as an example, and elaborates the basic principles and key technologies of isolated words speech recognition for specific people based on DTW big data algorithm. It includes a detailed discussion on the voice endpoint detection method, the characteristic parameter calculation method and the realization of the DTW big data algorithm. Finally, the programming method and experimental results under MATLAB are given.
The Lethal Autonomous Weapons Systems: A Concrete Example of AI’s Presence in the Military Environment

Comprehending and analysing Artificial Intelligence (AI) is fundamental to embrace the next challenges of the future, specifically for the defence sector. Developments in this sector will involve both arms and operations. The debate is linked to the risks that automation could bring into the battlefield, specifically for the Lethal Autonomous Weapons Systems (LAWS). While AI could bring many advantages in risk detection, protection and preparation capabilities, it may bring also several risks on the battlefield and break the basic principles of International Law. Indeed, having the human operator out of the loop, could lead to unprecedented challenges and issues. Such weapons may also strengthen terroristic groups, allowing them to plan mass attacks or specific assassinations with no human sacrifice.The article, divided into three parts, aims to analyse the LAWS and its related issue. The first one introduces the LAWS and is applications worldwide. The second one summarizes the problems concerning International Humanitarian Law. Eventually, the last part is focused on the research for a proper regulation and the EU position on the topic.
Image Transformation Of The Resource Type Region During Cluster Development Of Culture

The paper presents the results of the search for attractors to transform the image of the coal mining Kuzbass region as a resource type region, which development is affected by external and internal factors.The most striking factors include a decrease in the role of the coal industry for the region and the creation of a powerful cultural cluster, one of four clusters in the Russian Federation.The study is focused on the search and scientific substantiation of the effective mechanisms for implementation of the strategy for the socioeconomic development of Kemerovo region until 2035, Development of human capital in terms of the strategic priorities Comfortable environment -a new quality of life and Traditions of Kuzbass -new opportunities.The identified priorities are inextricably linked to the social changes in the conditions of active development of the scientific and technological complex of the region.The paper provides a theoretical substantiation of the phenomenon of the image of the region, which affects the cultural space of the region as well as socio-cultural preferences and needs of the population.It also considers conceptualization of the image transformation as a necessary process for the cultural and socio-economic development of the region imposed by historical conditions.To determine and clarify the specifics of the region in the context of cluster development of culture, an empirical study was carried out based on the analysis of statistical data for Kemerovo region.
ghostwriter19 @ SardiStance: Generating new tweets to classify SardiStance EVALITA 2020 political tweets

Understanding the events and the dominant thought is of great help to convey the desired message to our potential audience, be it marketing or political propaganda.Succeeding while the event is still ongoing is of vital importance to prepare alerts that require immediate action.A micro message platform like Twitter is the ideal place to be able to read a large amount of data linked to a theme and self-categorized by its users using hashtags and mentions.In this research, I will show how a simple translator can be used to bring styles, vocabulary, grammar, and other characteristics to a common factor that leads each of us to be unique in the way we express ourselves.
Protect Text and Audio Files over the Internet

: The science of information security has become a concern of many researchers, whose efforts are trying to come up with solutions and technologies that ensure the transfer of information in a more secure manner through the network, especially the Internet, without any penetration of that information. Due to the importance of digital data sent between the two parties through an insecure channel. As a result, there are many technologies and methods that are currently used in information security, including steganography and encryption. This paper proposes a safe method for text and audio files by encrypting them using the RC4 algorithm that relies on the chaos system. This system generates chaotic values ​​that increase the randomness of the key and thus difficult to break. Then use the embedding technique in the color or grayscale images using the LSB sequential algorithm. I relied on hiding in the edges of the image, which were areas of strength where the change was not noticeable. The results showed a high ability to include data, as the PSNR scale reached more than 50, and the retrieved data was obtained without errors.
Word Embedding and String-Matching Techniques for Automobile Entity Name Identification from Web Reviews

With the huge popularity of Internet, various types of information on a wide range of domains are floating over different social media platforms.To extract this information for using in diverse natural language processing applications, identifying the names is prerequisite.A study is presented here, to identify automobile names from noisy web reviews by exploring two widely used machine learning algorithms, Conditional Random Field and Support Vector Machine.The accuracy of machine learning classifiers radically rely on size and quality of training data which has been prepared manually by extracting discussion forum corpus; the task is time consuming and laborious; hence to leverage this word embedding is adopted.Though it enhances the system's performance but is unable to spot noisy names which occur in web reviews.Next, a gazetteer based string matching technique is proposed, it recognizes a new set of noisy automobile entities, resulting considerable improvement in accuracy.
A Perfect Storm: Race, Ethnicity, Hate Speech, Libel and First Amendment Jurisprudence

This Article explores the intersection of critical race theory, First Amendment jurisprudence, hate speech and defamation tort law. Consider this hypothetical: Assume that a state statute exists to create a cause of action in tort based on “group libel” theories for negative ethnic and racial utterances. The Article addresses whether such a statute could survive a First Amendment freedom of speech challenge. In addressing the issue, the Article considers blatant hate speech – as opposed to other forms of ethnic or racial utterances, such as pseudo-scientific racism or subtle-yet-inaccurate media portrayals that perpetuate harmful racial and ethnic stereotypes – that could be classified as group libel. The Article explores the normative policy implications that may persuade a court in deciding whether hate speech utterances should constitute group libel in a manner consistent with the First Amendment. It then provides a roadmap for the legal arguments that would likely apply. In addressing these arguments, the Article offers some proposed language to state legislatures in an effort to comport with constitutional requirements.Based on the proposed language, a state legislature may attempt to draft a statute that classifies blatant hate speech as group libel in a way that comports with First Amendment analysis to overcome an overbreadth challenge. However, as discussed in the Article, the relevant jurisprudence would still likely reveal various infirmities in the statute. This analysis, from a legal realism perspective, reveals various flaws in our norms and doctrines, which improperly deemphasize the inequities of institutional racism and xenophobia as well as the insidious impact of hate speech.
Analysis of Performance Correlation of Subjective and Objective Evaluation of Tire and Vehicle

In the initial stage of tire and vehicle development, ordinary drivers demanded only the basic performances including price and economic values, etc. However, performances that ordinary drivers are demanding are continuously increasing due to diversified information sharing and technology advancements with particular focus on the steering and safety features of the vehicle. Methods of evaluating the performances of tire and vehicle can be divided largely into subjective evaluation and objective evaluation. Both of these methods have their respective strengths and weaknesses. In order to supplement their weaknesses and to maximize their synergic effects, various relevant companies are conducting a diverse range of performance correlation researches. In this study, correlation research methods that had been used frequently in the past were reviewed and new analytic method capable of quantitatively indicate the differences in the subjective evaluation results and performance levels is presented.
공교육의 관점에서 본 한국 유아교육체제 분석

The purpose of this study is to explore tasks for developing early childhood education (ECE) in the public education system by analyzing the current ECE system in South Korea. This study reviewed the Ministry of Education’s “5-year development plan” to analyze the vision and directions of the government’s ECE policy, analyzed the current ECE system based on the analytical framework derived from primary principles and policy domains for public education, and suggested future policy tasks for incorporating ECE into the public education system. The main research results are as follow: First, the government has strived to establish an advanced ECE system under the goals of increasing publicness and national accountability and has pursued improving its quality beyond the increased accessibility of the ECE. Second, Korea has continued to improve the ECE system by increasing the enrollment rate in public kindergarten, providing greater financial subsidies to parents, clarifying the transparency in financial accounting by adopting the “K-edufine” system, introducing the evaluation system, implementing a national (“Nuri”) curriculum, and encouraging collaboration with parents and communities with mandatory parent meetings. Finally, this study suggested four tasks for the government in each short-term and long-term plan based on the “principle-domain” framework for increasing the public nature of ECE.
Blockchain Technology Cooperating with Culture to Promote Urban Governance Modernization

Under the background of the intelligent era, the application of blockchain technology in government governance has become a hot spot in various countries. Blockchain technology plays an important role in improving government data security and realizing data sharing in government governance, but it also brings challenges to government governance. This paper analyzes the opportunities and challenges of blockchain technology in government governance. This paper puts forward the realization path of improving the blockchain technology, so as to provide ideas for better promoting the modernization of government governance ability. This paper constructs the social governance model in the context of co construction, CO governance and sharing. At the same time, this paper explores the use of blockchain technology support, and then improve urban governance is to promote the modernization of national governance system and governance capacity. Blockchain technology has its unique value in the direction of co construction, CO governance and sharing of urban governance. By combing the existing and potential applications of blockchain technology in the field of urban governance, this paper further puts forward the path of urban governance based on blockchain technology. Experiments show that the method improves the efficiency of urban governance.
Improving Healthcare with the Help of Blockchain

A famous quote says “Health is wealth” and one of the major causes of concern for our society. It is also a major sector that comprises of economy of any country. Since the ages several evolutions have been made in the healthcare industry but there is a large impact of latest technology and trends in the medical industry. This paper discusses that how healthcare system has evolved during last few decades and how can we implement new technologies to improve healthcare systems.
LITERASI MEDIA ONLINE PADA WARGA KELURAHAN DURI KEPA JAKARTA BARAT

Currently the mass media undergoes a very rapid development, both in the technology or information, Increasing the media gives influence to the consumers of media, not just a positive influence but also negative influence. Students as academics need to be prepared with the ability to use media literacy media intelligently and effectively. This research is intended to find out the level of literacy Esa Unggul University student, so it can be used as a foundation in making literacy education programs in the media. This outreach program aims to educate people in Duri Kepa, RT.011 RW.007, West Jakarta with a topics such as how to use gadget in a good way, users get along in social media, some tips on avoiding hoaxes, how to online shopping savely, and avoid pornography.
Literary composition as a source of formation of the creative personality of a future director in the artistic process

Мистецтвознавствоwith words, had a clear, logically clear, emotional, literary literate Ukrainian language, had good diction and a loud voice of a wide range; to acquaint with technique and culture of stage language, with elements of performing skill; to acquire theoretical and practical knowledge and skills; to focus efforts on revealing the importance of expressive means in the language communication of the actor and the reader, mastering them in the educational and creative process, increasing the effectiveness of professional skills of future employees of education, culture, art.
Secure Encrypted Image based Password

In an exceedingly planned methodology we tend to use the data encryption and steganography technique to secure the image arcanum generation to secure access on the info server’s files, for additional security splitting technique wont to the stegno image for verification server aspect and consumer aspect user knowledge. This system provides robust knowledge security to storage on local cloud server and that we additionally offer the robust network communication security to registered users during knowledge uploads and downloads user knowledge. In this system coated the thought of generating associate economical algorithm for generates secure image primarily based arcanum Authentication system.
Development Of Monologue And Dialogical Speech Of Students Of Technical Universities

This artcle deals with Development of monologue and dialogical speech of students of technical universities. The modern stage of development of the educational process has changed the requirements for the professional training of students. The changes are associated with the development of special disciplines and with the increased role of the Russian language in the conditions of improving the preparation of each student, as this is the key to future success and professionalism.