Reviewerly/exHarmony huggingface dataset:
UPDATING GEODATABASE MAP HOMECOMING BASED ON INDONESIA GEOGRAPHY ELEMENT CATALOG (Case Study: Jawa-Bali)

The application of spatial-based technology known as Geographic Information Systems (GIS) is an appropriate alternative to integrating both spatial data and information and attributes so that GIS in this case is needed to create a database on homecoming maps. In this case the database used in making homecoming maps on GIS is a geodatabase. This research was conducted to identify what data and attributes are needed in Updating Geodatabase Homecoming Map Based on the Indonesian Geographic Elements Catalog (KUGI). KUGI is a system that contains elements and attributes that can be used by producers and users of geographic information in building geographic data structures. The implementation phase of the research carried out on updating the homecoming geodatabase map is the geodatabase data structure evaluation and the 2019 homecoming map geodatabase design. The final results of this study identified 27 data (entities) about the homecoming map in accordance with the rules of terms and definitions in KUGI and the results This study also resulted in the design of the 2019 homecoming map geodatabase model.
Monitoring Applicants as a Tool for Assessing the University Economic Sustainability

The paper discusses the features of measuring the educational trajectories of applicants and their choice of educational programs. Moreover, it actual-izes the importance of monitoring students’ applica-tions based on statistics and survey data to analyze the university competitiveness and its economic sustainability. The motivation of prospective stu-dents, their academic achievements in the school determinate the professional future direction and the formation of certain educational trajectories in the university. The sources of empirical data is sec-ondary analysis results of Monitoring university ef-fectiveness in 2017–2019, as well as sociological research of prospective students in 2020. The results of the study show that there is a high selectivity for admissions in the national research and federal uni-versities. The master’s degree students proportion in Russian universities increase. At the same time, the key motivation for studying in master’s pro-grams is economic (high demand in the labor mar-ket, good salaries after the university and career development). Despite the fact that there is a stereo-type that «weak» students (with low entry scores) are enrolled predominantly in fee-based training (the contract), the indicator dynamics over three years show that the average entry scores are higher among contract prospective students (this is due to the fashion for some educational programs and uni-versities heterogeneity within this group). The sys-tematic practices of analyzing the formation of pro-spective student’s educational trajectories contrib-ute to the early identification of admission hetero-geneity and adjusting its quality, as a result, its help to evaluate the effectiveness of university develop-ment strategy and predict the amount of budget funding.
STUDENTS’ PERCEPTION ON THE USE OF ESTAFET WRITING GAME AND PICTURE BASED-CREATIVE WRITING TO NURTURE LOVE OF WRITING

This To create a quality education, mainly on EFL instruction, the EFL teachers need to be empowered by improving their teaching quality. The students, in addition, should also be engaged during the instructional activities. Due to the fact that love of “writing” as one of the language skills is not yet established among the EFL university students, the effort of finding out an innovative way of helping them to establish love of creative writing is a must. One of the ways is collaborative writing through Estafet Writing Game and Picture-Based-Creative Writing strategies. Thus, this article aims at describing the students’ voices on the use of those strategies to establish love of creative writing. The study conducted through a reflective survey to 165 EFL university students reveals that most of the respondents prefer Estafet Writing Game to Picture-Based Creative Writing in terms of its effectiveness to build their creativity and and spontaneity of writing skills. To sum up, these strategies are pedagogically meaningful to improve the EFL students’ creative writing, because they can collaborate with their peers and promote their cooperative communication. Therefore, it is useful to establish love of writing and to stimulate their ideas for writing.
Logical Forms linked to certain a priori False Conditionals

According to a study carried out by Quelhas, Rasga, and Johnson-Laird in 2017, it seems that people tend not to understand false conditionals in the way expected by standard logic, that is, following the material interpretation of the conditional. [...] However, I try to argue here that such responses did not really reveal that the way their participants denied the conditionals included in the study cannot be captured by classical logic, but only that the logical forms of such denied sentences do not correspond to the one of the conditional, as well as the actual formal structures relating their antecedents and their consequents that can be built. [...]
Season’s Cheatings: Beware of Holiday Scams

Abstract ‘Tis the season…to be on the lookout for possible scams and fraud. It’s during this time of year that individuals are more focused on the spirit of the holidays and less focused on what may be happening with their pocketbook. AARP conducted a survey of 2,842 U.S. adults ages 18 and older to understand people’s awareness of and experience with a variety of scams that are common around the holidays. The study explored experiences with purchasing gift cards, shipping/receiving packages, and charitable giving. In addition, the survey tested the knowledge of adults about several specific scams with a ‘quiz’ of five true or false statements. Results showed that one in six (17%) U.S. adults failed the quiz. When making gift card purchases, one in five U.S. adults have given and/or received a gift card that had no funds on it. And only about half of U.S. adults conduct research before making a monetary donation to charitable causes or organizations. Of those who do check out a charity first, over half (54%) did not make a donation based on what they found on charity rating sites. Also, U.S. adults say that packages are left outside of their home without requiring a signature. Half (50%) of U.S. adults say they never require a signature when shipping packages to home addresses while about one in seven (15%) always require a signature. More education is needed to raise awareness of scams that are common during the holidays.
Educational and learning capital of a renowned scientist: results of a retrospective qualitative interview study with Prof. Albert Ziegler

In this interview, the concept of Young Scientist was deepened through an in-depth example, thanks to the Journal for the Education Gifted Young Scientists academic journal, which opened an important field by combining the field of education with the field of science education. The living example here is Professor Albert Ziegler, who is an important academics in education worldwide. He wrote nearly 300 articles and books and produced important products. He has produced important theories in the field of people. In this interview, he was asked questions based on examples to better understand his own theory. He contributed to the understanding of the concept of gifted young by giving examples from his own life. What factors influence when young scientist emerges as a capital. His experiences at the doctoral stage and the role of factors in the theory are explained. In particular, mentors have a very important influence on the emergence of young scientist. In this interview, Prof. Albert Ziegler talks about his influential mentors in academic development and their behavior. It is seen that he also mentioned the routines and habits of his academic life. In addition, tips for new trends for academics studying in the field of education are mentioned for readers.
SISTEM DAN SIMULASI DETEKSI BANJIR UNTUK PERINGATAN DINI DIOLAH MEMAKAI METODE KNN BERBASIS ARDUINO

In the city of Makassar, flooding is one of natural disasters that has a high probability of occurring and has very large impact. Floods occur due to several factors such as increased rainfall and rising sea levels. Flooding in the city of Makassar is an annual natural disaster that has huge impact for people who live around the river. The purpose of this study is to predict and provide early warning of floods before the flood occurs using water flow and KNN algorthm. The result of this research is an early detection system and a simulation to predict flood that has 60% accuracy.
USABILITY ANALYSIS ON THE ENDANGERED INDONESIAN ANIMALS AND PLANTS AUGMENTED REALITY APPLICATION

Knowledge about Indonesian endangered animals and plants has been taught at elementary school, but still based on text. In curriculum 2013, teachers are expected to be able to develop creative ideas such as using interactive learning media that makes learning fun for students. Interactive learning media can be used as a solution to make learning process more interesting. The use of augmented reality technology can be implemented on interactive learning media that aims to increasing elementary school children interest and make the learning process easier to teacher. This research uses descriptive quantitative method by distributing questionnaires to test HEBULA Application which is an interactive learning media for introducing endangered Indonesian animals and plants using augmented reality technology for elementary school children. Testing is done by using User Acceptance Test (UAT). This research aims to find out weather the HEBULA Application can be well receive and effectively used as a learning media. The results of this research show that HEBULA Application is suitable to be used as a learning media which is shown by the percentage of UAT eligibility of 92,6% that can be categorized as very well.
Partly-Pseudo-Linear Cryptanalysis of Reduced-Round Speck

We apply McKay’s pseudo-linear approximation of addition modular 2n to lightweight ARX block ciphers with large words, specifically the Speck family. We demonstrate that a pseudo-linear approximation can be combined with a linear approximation using the meet-in-the-middle attack technique to recover several key bits. Thus we illustrate improvements to Speck linear distinguishers based solely on Cho–Pieprzyk approximations by combining them with pseudo-linear approximations, and propose key recovery attacks.
Education Policies and Practices for Basic and Primary Education Development in Nepal

Education policies are considered as the strategic link between the education's vision and day-to-day operations of education system of a nation. The comprehensive education policies allow to the decision makers and employees to understand their role and responsibilities within predefined limits. Education policies allow management to guide operations without constant management intervention. Education policies in Nepal have been considered as a predetermined course of action which is established to provide a guide toward accepted strategies and objectives. These policies identify the key activities and provide a general strategy to decision-makers on how to handle issues as they arise. Policies also help to eliminate the common misunderstandings by identifying job responsibilities and establishing boundaries for the job holders. The present study deals with the issues regarding Education Policy Practice focusing on development of basic and primary education in Nepal. Therefore, the major concern of the study is to examine the development of basic and primary education in Nepal.
Culturally Aware Social Robots That Carry Humans Inside Them, Protected by Defeasible Argumentation Systems

After taking note of the conceptual fact that robots may well carry humans inside them, and more specifically that modern AI-infused cars, jets, spaceships, etc. can be viewed as such robots, we present a case study in which inconsistent attitude measurements resulted in the tragic crash in Sweden of such a jet and the death of both pilots. After setting out desiderata for an automated defeasible inductive reasoner able to suitably prevent such tragedies, we formalize the scenario in a first-order defeasible reasoner—OSCAR—and find that it can quickly generate a partial solution to the dilemma the pilots couldn’t conquer. But we then note and address the shortcomings of OSCAR relative to the desiderata, and adumbrate a solution supplied by a more expressive reasoner based on an inductive defeasible multi-operator cognitive calculus (ℐ𝒟𝒞ℰ𝒞) that is inspired by a merely deductive (monotonic) precursor (𝒟𝒞ℰ𝒞). Our solution in this calculus exploits both the social and cultural aspects of of the jet/robot we suggest be engineered in the future. After describing our solution, some remarks about related prior work follow, we present and rebut two objections, and then wrap up with a brief conclusion.
Semantic Diversity for Natural Language Understanding Evaluation in Dialog Systems

The quality of Natural Language Understanding (NLU) models is typically evaluated using aggregated metrics on a large number of utterances. In a dialog system, though, the manual analysis of failures on specific utterances is a time-consuming and yet critical endeavor to guarantee a high-quality customer experience. A crucial question for this analysis is how to create a test set of utterances that covers a diversity of possible customer requests. In this paper, we introduce the task of generating a test set with high semantic diversity for NLU evaluation in dialog systems and we describe an approach to address it. The approach starts by extracting high-traffic utterance patterns. Then, for each pattern, it achieves high diversity selecting utterances from different regions of the utterance embedding space. We compare three selection strategies based on clustering of utterances in the embedding space, on solving the maximum distance optimization problem and on simple heuristics such as random uniform sampling and popularity. The evaluation shows that the highest semantic and lexicon diversity is obtained by a greedy maximum sum of distance solver in a comparable runtime with the clustering and the heuristics approaches.
Design and development of an open private educational cloud storage solution for application development

CS, IT, and software engineering students need to learn and master web application development and cloud computing skills on an educational full-stack Cloud architecture. In this paper we provide t...
Messaging Extension and Action Comments

Messaging extensions are a great way to invoke custom code right in the Teams client. This opens up the possibility of users interacting with your application right in the context of their conversations without having to leave Teams and post the information using Adaptive cards or Hero cards or messages.
GSU Library Research Guides: Web Savvy -- General Guide: Personal Pages

A multi-page tutorial on evaluating web sites, for beginners and those who think they know. Can you trust personal pages? The answer is it depends.
The implementation of the integrative approach in the process of training future law enforcement officers is the urgent requirement of modernity

The article analyses the process of integration of psychological and legal knowledge, interpenetration, consolidation, unification of knowledge, the gradual change of individual didactic elements, which are included in the large number of connections and relationships.
An Inconvenient Truth: Are Platforms Reliable in Tackling Fake Reviews?

E-commerce platforms worldwide have faced the enduring challenge of moderating fake reviews over the past decade. Hence, in this paper, we investigate the platforms’ economic incentives to remove fake reviews, which is an important but unanswered question. Using a game-theoretic model, we analyze the sellers’ review manipulation behavior and the platform’s optimal fake review control strategy. Our results show that a more accurate detection algorithm can sometimes lead to a lower payoff for the platform, and in the equilibrium, the platform may not set the accuracy level to its maximum value even when it is costless to do so. Another interesting finding is that the high-quality seller can sometimes set a higher manipulation level than the low-quality seller, especially when the competition is intense. Moreover, we find that the optimal algorithm accuracy increases when the platform is more reputable and competition among sellers is weakened. In addition to these results, we present several other interesting insights in the paper that could help platforms, sellers, as well as policymakers, in devising appropriate strategies. Our insights send an important message to consumers and policymakers that they should not fully rely on the platform to tackle the fake review problem.
The solution of the problem of unknown words under neural machine translation of the Kazakh language

The paper proposes a solution to the problem of unknown words for neural machine translation (NMT). The proposed solution is shown by the example of NMT of the Kazakh-English language pair. The novelty of the proposed technology for solving the problem of unknown words in the NMT of the Kazakh language is an algorithm proposed for searching for unknown words in the dictionary of a trained model of NMT and using the dictionary of synonyms of the Kazakh to replace an unknown word with a word that is close in meaning. A dictionary of synonyms is used to search for words that are similar in meaning to the unknown words, which was defined. Moreover, the found synonyms are checked for the presence in the vocabulary of a trained model. After that, a new translation of the edited sentence of the source language is performed. The base of words-synonyms of the Kazakh language is collected. Software solutions to the unknown word problem have been developed in the Python. The proposed technology solution to the problem of unknown words was tested on the two parallel Kazakh-English corpus in both variants: baseline NMT and NMT with using of the proposed technology.
DIRECTING ART PROJECTS IN THE SYSTEM OF TRAINING THE FUTURE MANAGER OF THE SOCIO-CULTURAL SPHERE

Introduction. Modern transformational processes in the socio-cultural sphere are due to the rapid spread of technologies that shape the personality of the future specialist in art institutions of higher education in Ukraine. A specific feature of directing art projects is the ability to expand the range of a certain worldview, to create conditions for the effective acquisition of professional knowledge and skills in the training future managers of socio-cultural activities. Purpose and methods. The purpose of the article is to identify current trends in the use of directing art projects in the training managers for the socio-cultural sphere. The research used systematic and methodological-didactic approaches, methods of analysis and synthesis, comparison and empirical methods, which proposed the structure of the discipline in the relationship of its main elements and determinants. Results. The main results of the research are to substantiate the need to introduce the direction of art projects in the system training managers of socio-cultural activities and use modern directing technologies in the socio-cultural sphere. Conclusions. In conditions of a modern institution in higher education, scientific provisions on the importance of directing in the acquisition of professional knowledge and skills, which allow to addition, identify and form the value competencies and competitiveness of the future manager of socio-cultural activities. Promising in the future is the study of favorable environment of the institution higher education in which the formation of the future manager of socio-cultural activities by way of directing art projects.
TEACHERS TECHNIQUES AND MODELS USED FOR ENGAGEMENT OF THE STUDENTS ON LEARNING

The nature and specificity of the work will be stopped and focused on the forms and models that teachers use during the learning process. In the course of this paper we have addressed the factors directly affecting the increase and the level of teaching excellence in the lessons. Also, in dealing with this problematic we will know those forms that show higher learning outcomes. Many of the students have problems in understanding information, reading information, and even interpreting them. This proves that teaching is not adjusting to their level and knowledge, so we also have problems in understanding the reading text and receiving student information in the lesson. Also during our research work we have dealt with the model of teacher's explanation in the lesson, the forms of work the teacher uses, and the model of assessment in the classroom. In the present theory of teachers, different systems and modalities of the teaching organization, the level and form of the curriculum to the standard and the form of student assessment are presented. In order to make a thorough assessment and especially in the unique schools, special work plans and programs should be developed which in one way or another will suit the immanent needs of the students' age.
Criminal Legal Means Preventing Spread Of Dangerous Infectious Diseases In Modern Society

COVID-19 pandemic outlined the necessity for reforming Russian criminal legislation and providing better incentives for prevention of dangerous infectious diseases.While acknowledging respective changes made to the Criminal Code (i.e. the renewed edition of Article 236), the authors nevertheless consider measures taken by the lawmakers to be insufficient.Combining elements of crime with different public danger levels (the material element and the so-called element of danger); in Part 1 of Article 236 seems dubious; it is unclear who the restrictions accumulated in Article 236 are addressed to; besides, notions of accidental and intentional guilt could be disorienting for courts.Some forms of criminal behaviour were unreasonably disregarded in the Code, such as infliction of damage to a specific individual by intentionally infecting with a disease that simultaneously creates a risk for infecting an indefinite number of people.The legislators unreasonably ignored the necessity for reforming Article 248 of the Criminal Code that in its present version imposes responsibility only for violating safety rules related to handling microbiological (or other biological) agents and toxins leading to direct consequences.However, the recent experience of COVID-19 pandemic demonstrates it is necessary to establish the element of danger i.e. to shift the moment of noting criminality to the stage when a violation of rules creates only a threat of causing or spreading epidemics or pandemics.Basing on the research results, the authors make recommendations on improving criminal legislation for providing sanitary and epidemiological welfare of the nation.