Reviewerly/exHarmony huggingface dataset:
Profil Peserta Pengembangan Ekonomi Masyarakat Melalui Keterampilan Rajut dan Skills Komunikasi Bagi Guru-Guru Pekanbaru Riau

Community Service Program was implemented based on problems faced by elementary school teachers in Pekanbaru, including: 1) lack of motivation, knowledge and skills possessed by community and elementary school teachers to improve their creativity and innovation in knitting; 2) lack of community knowledge and creativity to increase economic growth; and 3) lack of guidance from related parties to community and elementary school teachers regarding motivation, creativity, and communication skills. Based on some problems identified, a problem resolved in this activity was: giving assistance in making bags through knitting skills for elementary school teachers in Pekanbaru, Riau. Furthermore, there was also guidance on becoming an MC and other official activities to help participants to be individuals who had confidence and good motivation. The community service activity carried out was Participatory Action Research (PAR) which was conducted using a descriptive approach method. Importantly, population in this study were teachers in Riau Province, especially elementary school teachers in Pekanbaru. Sample of service was chosen by purposive sampling, obtaining elementary school teachers in Pekanbaru. Results of activity could be declared successful in overcoming the problem. It was shown by teachers who strongly agreed with the existence of community service activity as an effort to develop competence, particularly in terms of community economic development through knitting and communication skills for teachers in Pekanbaru.
Development of rules of generation of nominal word forms for new-written variants of the Karelian language

Introduction: linking of words of texts (tokens) with meanings of lemmas in the dictionary of VepKar corpus significantly facilitates further work on semantic markup of texts. In 2019, inflectional rules were developed for the Vepsian subcorpora VepKar. To the corpus on the base of these rules a function for generation of a complete paradigm on basic word forms was added. VepKar editors need to enter a large number of word forms when they create dictionary entries in three Karelian subcorpora (about 30 for names and 150 for verbs). Therefore, the development of an algorithm and a computer program for generation of word forms of the Karelian language turned out to be timely. Objective: to illustrate how you can use the list of the stems of the nominal parts of speech of two new-written dialects of the Karelian language to create rules for automatic generation of word forms. Research materials: lemmas and word forms from the Open corpus of the Vepsian and Karelian languages, the Corpus of Border Karelia, and the electronic version of the Dictionary of the Karelian language. Results and novelty of the research: grammatical patterns were studied over many years from theoretical sources, and they were also discovered through experiments. Thanks to this, the list of stems and pseudo-stems of word forms was formed for the nominal parts of speech, the system of rules for generation of word forms was developed, and the corresponding computer program is written and tested. The scientific novelty of the study lies in the first attempt to develop uniform rules for the automatic generation of word forms for two dialects of the Karelian language.
Penerapan User Center Design Dalam Rancangan Aplikasi SIPOLI (Sistem Informasi Poliklinik)

Polyclinic Information System is a file containing notes and documents about the patient's and doctor's identity, examinations, medication, actions, and other services that have been provided to outpatients. The information system for recording transactions and medical records at the Dwi Ananda Clinic is still carried out conventionally, namely by recording in a medical record book, so mistakes often occur and the process of searching for patient data takes a long time. This study aims to create a computerized medical record information system to facilitate the search for patient medical records. The method used in conducting this research is descriptive method, by combining data collection methods and systems development methods. The development of this information system uses the application of User Center Design, where researchers carry out a series of procedures such as surveys and interviews to complete the data needed in program development to suit the needs of the Dwi Ananda Clinic. As a result, a web-based polyclinic information system that can make it easier for officers and doctors to view patient forms that have been carried out, can save the scanned medical record forms before they are destroyed, and can display the scanned forms that have been uploaded to the information system. This information system requires patient data to see the list of visits for the last 2 years used to determine the medical record files to be entered into the application. The polyclinic Information System application can make it easier to make medical transactions and outpatient medical records quickly and relevantly. After the implementation of the program, the Polyclinic Information System at the Dwi Ananda Clinic can provide a more complete and faster transaction service without reducing the accuracy of the information generated.
A Tax on the Clones: The Strange Case of Bitcoin Cash

Having grown frustrated with the the ability of Bitcoin to act as a cash substitute, members of Bitcoin community formed a new cryptocurrency, Bitcoin Cash, in August 2017. The dissidents achieved their goal by cloning the existing Bitcoin system and grafting their desired features onto the clone. Because Bitcoin Cash cloned the original Bitcoin system, every owner of Bitcoin (as of August 1, 2017) became the owner of an equal number of Bitcoin Cash units. Their Bitcoin Cash was a pure windfall, and its creation did not seem to divert any value away from Bitcoin.This article examines whether the windfall was taxable to the new Bitcoin Cash owners in August 2017 or at same later time (for example, upon sale). This issue turns out to be a difficult to answer. Some scholars argue that property windfalls (like when a baseball fan catches a record setting homerun ball) should not be taxable at the time of receipt. Also, the creation of Bitcoin Cash involved several difficult valuation and timing issues. What was it worth at creation? More fundamentally, when was it even created? Because of these difficulties, this paper proposes that owners be allowed to defer income under an “open transaction” approach, similar to what applies to executive stock options.Readers should note that this article does not consider Rev. Rul. 2019-24, which was released as the article was going to press.
일제강점기 학교의 이면 : 성차별과 성폭력

This paper examines the reality of sex discrimination and sexual violence in schools during the Japanese colonial period, and attempts to reveal that the school at that time was a gender-discriminatory space that was unfavorable to female students and female teachers.Elementary schools differed in class organization, teacher placement, educational goals and content, and subjects according to gender. Female teachers were also asked to play the role of housewives or mothers at school, and could not be free from negative prejudice against women.Sex discrimination, which is unilaterally unfavorable to one sex, leads to sexual violence. School sexual assault cases include sexual assault, attempted sexual assault, sexual assault, and sexual harassment. The victims of sexual violence in school included both female students and female teachers. If the victims of sexual violence were girls in their late teens and female teachers, the victims of sexual violence tended to be regarded as romantic relationships with the perpetrators.The Korean society was very critical of sexual violence in school, and even though they took a collective action demanding punishment for male teachers, there was still a perception that sexual violence was considered a shame, not a victim. This perception has become a major obstacle to women''s school life.
Statistical measures of the association between two ordinal variables

Questionnaire surveys often deal with items by which we would like to identify possible associations. These items/variables can be measured on the basis of nominal, ordinal or interval scale. This paper provides an overview of statistical measures of association between two ordinal variables that are used most commonly. It also offers a display of the outputs from the SPSS program, in addition to the description of correlation coefficient calculations.DOI: https://doi.org/10.24040/sjss.2020.6.2.55-61
Can Technology and Privacy Co-Exist in a Pandemic?

Abstract This chapter assesses whether the short-term benefits of using digital technology to suppress the Covid-19 pandemic justify the detrimental long-term consequences for privacy. It addresses this complex question through an inevitably incomplete discussion of privacy data protection laws, technology design, and trust in governments and technology providers as well as cultural understandings of privacy. After outlining the technology-assisted measures in various regions in Asia, the chapter highlights major privacy concerns and looks at a number of trade-offs that emerge from the use of technology to contain the spread of the virus. These trade-offs exemplify the risks of adoption of just-in-time software technologies for public health purposes without fully understanding their impact on users and of potentially erroneous data-driven decisions and the involuntary collection of personal data. They also raise important policy questions in the dynamic and fast-shifting context of the Covid-19 pandemic.
PARTISIPATIVE APPROACH AS EDUCATIONAL INNOVATION OF PROFESSIONAL TRAINING FUTURE TEACHERS

The article analyzes the problem of participatory approach to professional training of future teachers in the modern space of education, highlights its theoretical aspects, and outlines the scope of its practical application in the field of preschool education. In particular, the peculiarities of the organiza- tion of the educational process based on participa- tory approach are traced. The authors revealed the peculiarities of the organization of the educational process based on a participatory approach as one of the components of the theoretical and methodological basis for the development of professional competencies of future teachers. This will allow modeling the social content of future professional activity through awareness, acceptance of the principles of participation, which is an alternative to authoritarianism. The authors of the article consider the participatory approach as an educational strategy, the implementation of which allows involving future teachers in making hypothetical management decisions, promotes the formation of initiative, responsibility and independence in solving trivial and non- standard problems in educational and professional activities. The results of the application of a participatory approach in the process of development of profes- sional competencies of future teachers can be a) increase the motivation to learn, job satisfaction; b) disclosure of own potential, primary professional identification; c) satisfaction of the need to achieve, self-realization, self-affirmation; d) the formation of qualification and professional and personal guidelines of consciousness and behavior.
Predictive Motion Planning for Autonomous Vehicles With Geometric Constraints via Convex Optimization

Abstract In this paper, we propose an MPC-based motion planning algorithm, including a decision-making module, an obstacle-constraints generating module, and an MPC-based planning module. The designed decision module effectively distinguishes between structured and unstructured roads and processes them separately, so that the algorithm is more robust in different environments. Besides, the movement of obstacles is considered in the decision-making and obstacle constraints generating module. By processing obstacles with lateral and longitudinal speed separately, obstacle avoidance can be done in scenarios with moving obstacles, including moving obstacles crossing the road. Instead of treating the vehicle as a mass point, we explicitly consider the geometric constraints by modeling the vehicle as three intersecting circles when generating obstacle constraints. This ensures that the vehicle is collision-free in motion planning, especially when the vehicle turns. For non-convex obstacle constraints, we propose an algorithm that generates up to two alternative linear constraints to convexify the obstacle constraints for improving computational efficiency. In MPC, we consider the vehicle kino-dynamic constraints and two generated linear constraints. Therefore, the proposed method can achieve better real-time performance and can be applied to more complicated traffic scenarios with moving obstacles. Simulation results in three different scenarios show that motion planning can achieve satisfactory performance in both structured and unstructured roads with moving obstacles.
Designing Educational Objectives in the Aspect of Innovative Activities of the Motor Transport Profile

The implementation of innovation development strategies is a prerequisite for the effective functioning of modern transport complex enterprises. The need for innovation activities, formed in the sphere of profile production, actualizes the orientation of the educational process of the university on the formation of the graduates’ readiness for active participation in industrial innovation activities. The multidimensional nature of innovation activities causes the application of interdisciplinary and competence approaches as a methodological basis for the design of educational goals. The student’s understanding of their own professional identity is a prerequisite to achieve effective preparation for core innovation activities. The pedagogical potential of projective teaching, on the basis of the generalized structural composition of the innovation process, corresponds to the productive implementation of the innovation-oriented educational process of the engineering profile.
INSTRUCTIONAL SCHEME OF ORGANIZING MENTAL ACTIVITY OF FUTURE MATHS TEACHERS WHILE MASTERING BASIC CONCEPTS OF FUNCTIONAL ANALYSIS

The universality of mathematical knowledge, its a priori metasubject nature and fundamental role in forming the scientific style of thinking make high demands on the training of maths teachers within the framework of the higher professional education system. This training includes the formation of competencies related to the ability to understand and transmit knowledge formulated in the language of mathematics, the ability to embed it into the existing system of mathematical and general scientific training, as well as active, creative mastering of mathematical content. The article presents an instructional diagram of mental activity organization for solving educational mathematical problems. Being universal, the scheme meets the above requirements for training future maths teachers and it was developed specifically with an orientation towards this category of students. The article provides the specific example of the use of the scheme.
'Unknown Symbols': Online Legal Research in the Age of Emoji

Over the last decade, emoji and emoticons have made the leap from text messaging and social media to legal filings, court opinions, and law review articles. However, emoji and emoticons’ growth in popularity has tested the capability of online legal research systems to properly display and retrieve them in search results, posing challenges for future researchers of primary and secondary sources. This article examines current display practices on several of the most popular online legal research services (including Westlaw Edge, Lexis Advance, Bloomberg Law, Fastcase, HeinOnline, and Gale OneFile LegalTrac), and suggests effective workarounds for researchers.
A Model for Recommending Custody of Minors based on Neutrosophic Cognitive Map

Minors can be left without legal custody due to many different reasons. When a minor is in distress he/she is at the mercy of the decision of the competent entity for the granting of his/her guardian. However, based on the affective relationships established by the different family members, determining parental responsibility constitutes a highly important decision. This research proposes a solution to the problem described by means of a recommendation system to assign parental responsibility and its incidence in the best interests of minors. The proposed method bases its operation on the use of Neutrosophic Cognitive Maps (NCM) to model the uncertainty in causal relationships. A case study is presented to demonstrate the applicability of the proposal.
Training a Group of Badminton Serving Machines to Reproduce a Rally (Work in Progress)

This paper proposes to train a group of badminton serving machines by a simple deep neural network (DNN) consisting of 8 dense layers. Our ultimate goal is to have the proposed system reproduce a badminton rally captured from social media such as YouTube. All the parameters of these serving machines need to be predicted from a trajectory image in a race video through a deep learning regression model. We can successfully estimate 10 trajectory parameters with an average RMSE loss of 0.087.
Perancangan Game Edukasi untuk operasi dasar Matematika dengan penerapan metode Lattice "Rancage Matematika"

Mathematics is one of many important subject which is learnt by children at early age that consist of basic operation such as addition, subtraction, multiplication and division. Some parent often letting their children to take study course because not every children have the same speed at learning something, but there are some unfortunate children who can’t take the said course because of financial problem. Mika Asih Foundation is an organization that provide free study course services that helps the said unfortunate children. In their learning activities, Mika Asih Foundation wished for a method that improve student ability and motivation that also please the children, mainly on mathematics subject. So writer will make a desktop based mathematics education game which consist of lessons about basic mathematics operation and exercise using lattice method.
Research Agreements for National R&amp;D Projects and Contracts under Public Law – Focusing on the Practical Problems –

Contracts under public law in Germany are also based on a number of laws in Korea. In this paper, the legal nature of the contract was studied, focusing on the research agreement for the national R&D project, which is the representative of the contract under the public law. The selection of a research and development project in the national R&D project is a profitable administrative act performed by the administrative agency to one of the applicants on the premise of two or more applicants. Research agreements govern detailed contents related to R&D projects. Since national R&D projects are related to public law, research agreements should be viewed as contracts under public law. Under the public law, contracts are divided into a contract to determine the details of an administrative act and a contract that replaces an administrative act . Usually, when a contract is concluded after an administrative act, it corresponds to the former, and a research agreement is an example. Regarding legal relations derived from research agreements, such as termination of the agreement or sanctions under the agreement, the Supreme Court generally regards it as an administrative disposition in accordance with the existing position that has been viewed as an administrative disposition if there is a legal basis. However, if the research agreement is viewed as a contract under public law, it is logical to view the legal relationship derived from it as a contract act. However, considering that sanctions under the Convention can be enforced on their own, beyond the legal basis, it is more appropriate to view this as an administrative disposition.
Scrutinising COVIDSafe: Frameworks for Evaluating Digital Contact Tracing Technologies

Digital technologies are being used to combat the coronavirus disease 2019 (COVID-19) pandemic through a variety of methods, including monitoring compliance with quarantine and contact tracing. These uses of technology are said to promote public health outcomes but risk undermining rights to privacy. In this article we focus on the use of digital technologies for contact tracing, such as the COVIDSafe app used in Australia. We explore the kind of framework that might be used for evaluating the design, deployment and governance of such technologies to ensure they operate in a manner that is proportionate to the ends to be achieved. We conclude that, in addition to issues of privacy, any use of contact tracing technology should address important considerations of efficacy, equity and accountability.
Personalised Spam Filter for Social Networks Using Machine Learning Algorithms

Social Network is one of the well-known and reliable mediums for communication which has made the whole of the world 'A Global Village' and where people easily connect with each other.With this boom of internet, many instant social media platforms have brought exploration of interactivity among users.With this rapid evolution, users of social networking sites may easily get overwhelmed by the excessive volume of information feeds and may also face difficulties to find truly valuable information.This paper introduces a personalised feed system for users based on their interests and displaying the content accordingly.In this paper the different machine learning algorithm with natural language processing to classify messages were used which leads to a time saving and user-friendly system.
Query Intent Detection with Deep Learning

Predicting intent of the user query is one of the fundamental tasks in building information retrieval systems. To solve this task, we present a deep learning method to classify user search queries into one of get a doc, topic search, entity, and locate source classes. In this work, models are built and evaluated with actual user queries in Lexis Advance. At a high-level, our method consists of three components i.e. data augmentation, glove embeddings, and convolutional networks algorithm. This approach produced very good accuracy about 87% if we know the query belongs to one of the above four intents and very efficient at runtime by taking only 2 milliseconds per query and standard ec2 instance. Even though we evaluated our approach on four intents, this method applicable for general purpose classification of user queries and to use in production systems.
Virtualization Security Issues : Security issues arise in the virtual environment

The thesis is submitted in Partial Fulfilment of the Requirements of a Master's degree in network Forensics at Halmstad University, Sweden. The author had selected VirtualizationSecurity as a valid ...