Reviewerly/exHarmony huggingface dataset:
STUDENTS’ CREATIVE POTENTIAL AS A FACTOROF THEIR PREPARATION FOR THE RESEARCH WORK

It is well known that traditional education in Ukraine is based on the constant and consecutive knowledge assimilation and leans on the student’s repro-ductive opportunities without taking the creativepotential into consideration. Modern young specialists with the higher education have to be trained for research work, for the solution of new professional tasks requiring non-standard creative approach and to be capable for creative self-development. Therefore, now the need of development of future chemistry and biology teachers’ creative poten-tial for institutions of higher education is especially rele-vant.The purpose of this articleistheoretical justification of essential characteristics of students’creative potential as a factor of preparation of future chemistry and biology teachers fortheresearch work.Self-assessment as an indicator of an estimated com-ponent of creative potential is a process of student’s esti-mation of his or her own activity at different stages of its implementation. It defines the relationships with the peo-ple around, self-criticism, demanding to himself or herself, the attitude towards progress and failures. The student’ activity and his or her aspiration to self-improvement depends on the self-assessment. It is developed by grad-ual combination of external estimates that is expressed by the general requirements, and the personality’s demands to himself or herself. For the goal achievement and the research problems check there has been made selection, modification, devel-opment and testing of theory of empirical complex (ques-tioning, testing, conversations with students) and re-search methods. Methods of mathematical statistics were used for processing the empirical data with the purpose of generalization of the results received during the course of the experiment, for efficiency check of the research pro-gram and reliability of the received data. The data received by means of a diagnostic scale indi-cate that the number of students with positive self-assessment of the educational activity increased. Positive development dynamics of a self-assessment allows to speak about the effectiveness of the research program for use of the principles of creative potential development, realization of the personal focused approach, technologies of dialogical, heuristic, innovative, interactive and modu-lar-block training.
ANALISIS KESALAHAN PENGGUNAAN KATA BANTU 的 [DE] DAN 得 [DÉ] DALAM PEMBELAJARAN BAHASA MANDARIN KELAS XI SMA ISLAM ATHIRAH 1 MAKASSAR

Abstract. This study aims to classify the types of errors made by students of class X1 SMA Islam Athirah 1 Makassar in the use of的 [de] (belonging/that) and得[dé] (adverb) auxiliary words in Mandarin. The analytical method is used the error analysis method proposed by Ellis in Tarigan (1984). The results of the data analysis showed that there were 170 errors in the students' use of 的 [de] (belonging / that) and 得[dé] (adverb) auxiliary words. There were 111 errors in the use of the的 [de] (belonging / that) auxiliary words (65.29%), which were in the sufficient error category and the error in the use of the得[dé] (adverb) auxiliary word, namely as many as 59 errors (34.71%) which were in the level of error in the category less The error in using the auxiliary的 [de] (belonging / that) which / belongs is in the sufficient with 111 errors (65.29% ). The error in using the auxiliary word 得 [dé] (adverb) is in the less with 59 errors (34.71%).
Interactions with Digital Mountains: Tangible, Immersive and Touch Interactive Virtual Reality

Digitization of Earth mountains and terrains has facilitated to plan journeys, manage natural resources, and learn about the Earth from the comfort of our homes. We aim to develop new interactions on digital mountains with novel interfaces: 3D printed representation of a mountain, an immersive virtual reality visualization, and two different touch interactive interfaces for immersive virtual reality visualizations: a 3D printed mountain with touch sensors and a multitouch tablet. We show how we have built such prototypes based on digital data retrieved from a map provider, and which interactions are possible with each interaction device. We explain how we design and conduct evaluation.
A Lower Bound for Dynamic Fractional Cascading

We investigate the limits of one of the fundamental ideas in data structures: fractional cascading. This is an important data structure technique to speed up repeated searches for the same key in multiple lists and it has numerous applications. Specifically, the input is a “catalog” graph, Gcat, of constant degree together with a list of values assigned to every vertex of Gcat. The goal is to preprocess the input such that given a connected subgraph G′ of Gcat and a single query value q, one can find the predecessor of q in every list that belongs to G′. The classical result by Chazelle and Guibas shows that in a pointer machine, this can be done in the optimal time of where n is the total number of values. However, if insertion and deletion of values are allowed, then the query time slows down to . If only insertions (or deletions) are allowed, then once again, an optimal query time can be obtained but by using amortization at update time.We prove a lower bound of on the worst-case query time of dynamic fractional cascading, when queries are paths of length O(log n). The lower bound applies both to fully dynamic data structures with amortized polylogarithmic update time and incremental data structures with polylogarithmic worst-case update time. As a side, this also proves that amortization is crucial for obtaining an optimal incremental data structure.This is the first non-trivial pointer machine lower bound for a dynamic data structure that breaks the Ω(log n) barrier. In order to obtain this result, we develop a number of new ideas and techniques that hopefully can be useful to obtain additional dynamic lower bounds in the pointer machine model.
Higher Educational Models And Economy Development

The paper discusses the educational models currently used in Russian higher education, among them are such as: Liberal, Professional and Blended.Along with the models we analyse some possible mechanisms able to harmonize the learning outcomes, which universities denote as the teaching goal, and the requirements of the labor market.The analysis includes a comparison of the goals, consideration of different approaches to academic freedoms and description of the tools used within the models under discussion.Models-based comparison allows us to identify some additional opportunities enabling generation of more effective management mechanisms applied to organize processes in higher education institutions, including the harmonization of higher education outcomes and the labor market requirements.We conclude that inaccurate identification of the educational model can pose the following risks, such as: inadequacy of the choice of the educational model to the goals and objectives of state policy in the field of education; underestimation of economy indices influence impacting much the mechanisms going on in the labor market (this tendency is poorly reflected in higher education methodologies and strategies); reassessment of the educational model potentials for successful solution of the issues relating to quality, efficiency and availability of higher education.These discrepancies in choosing the educational model that will be applicable and capable to tackle the current challenges can bring some negative trends to the higher education system.The contradiction arising in the regulatory framework is indicated.The reason for its occurrence is studied.
SOSIALISASI GOOGLE CLASSROOM SEBAGAI MEDIA PEMBELAJARAN ONLINE AKIBAT DAMPAK PANDEMIC COVID 19 DI SMPIT AL-MUSTOFA

The Community Service Program which was carried out aimed to train students and teachers of SMPIT Al-Mustofa to use e-learning media Google Classroom during the Covid 19 pandemic. With this training, students and teachers can optimize the use of Google Classroom in the learning process. The implementation of this service consists of three stages, namely: preparation, implementation, and evaluation. The preparation stage was carried out to explore problems related to the potential for e-learning during the Covid 19 pandemic. At this stage, e-learning material was delivered and training on how to access and use Google Classroom. The evaluation phase is carried out to find out obstacles during training. This activity resulted in an increase in the knowledge of students and teachers of SMPIT Al-Mustofa about e-learning and skilled in using Google Classroom as an interactive and fun online learning medium in the process of teaching and learning activities during the Covid 19 pandemic and e-learning products, namely Google Classroom as an easy-to-use online learning medium.
EDUCATIONAL TRAVELING AT INFORMATICS LESSONS AS A MEANS OF DEVELOPING KEY COMPETENCIES OF STUDENTS

The article substantiates the advantages of using educational traveling when studying the unit "Internet Information Resources" at the lessons of "Informatics" in the 9th grade. The authors analyzes the approaches that are the basis for teaching students to informatics: systemic, activitybased and competence-based. Special attention is paid to the formation of metasubject competencies, which include the ability to use the mastered intersubject concepts and universal educational actions in educational activities, the independence of planning and implementing educational activities based on personal priorities, and the organization of educational cooperation with students and teachers. These competencies will be needed by students both in everyday life and in their future profession. Tasks for small groups of students and a range of questions for their solution are given, criteria for the success of assignments are developed, examples of the results of the work of groups are given.
Organization of Legal Education of Gifted Students Using Modern Methodological Tools

This article is devoted to a topic, which is relevant due to the need to create an effective educational environment for gifted students through the use of modern methodological tools within the framework of education digitalization. Study purpose: to identify the state and prospects for the development of pedagogical competencies of future law teachers on the development and use of modern methodological tools in organizing work with gifted students. Research objectives: to determine the main definitions on the research topic to identify the role and place of modern methodological tools in the activities of teachers and students, to evaluate the effectiveness of its application during legal education; to develop and conduct a distance survey among the 1st–5th year students and the 1st year undergraduates of the institutes of the Kazan (Volga) Federal University, as well as gifted students from the specialized educational organizations based on the analysis of scientific and methodological literature, the regulatory framework. The authors also describe the pedagogical capabilities of the main digital educational platforms of web services used by law teachers in the practice of working with gifted students.
Middle East Respiratory Syndrome Coronavirus, Saudi Arabia, 2017 Outbreak: Super-Spreading Event and Control Measures

Background: The hallmark of Middle East respiratory syndrome coronavirus (MERS-CoV) disease is the ability to cause major healthcare-associated outbreaks with superspreading events leading to massive transmission and excessive morbidity and mortality. This abstract provides overview of MERS-CoV multi-healthcare facilities outbreak in Riyadh in June 2017, with focus on cluster reported and the control measures taken at King Saud Medical City. The outbreak began with a patient who presented with acute renal failure requiring hemodialysis and became a MERS-CoV superspreader, igniting the cluster of cases in several hospitals in King Saud Medical City. Methods: For epidemiologic investigation, a case was defined as any patient with laboratory-confirmed MERS-CoV infection with connection to the affected healthcare facilities. Contact tracing and testing were performed according to the Ministry of Health (MOH) guidelines. MERS-CoV testing was recommended for HCWs who had unprotected close contact with a confirmed case. Considering the superspreading phenomena, contact tracing was included all persons attended the same area with the positive case either as a patient, an HCW, or a patient’s visitor or companion. Laboratory confirmation was conducted using real-time RT-PCR. Genome sequencing and phylogenetic analysis were performed for available MERS-CoV rRT-PCR–positive samples by the CDC. The infection control measures applied included decreasing patient load through downsizing emergency department acceptance, maintaining low elective services, limiting inpatient admissions, and encouraging discharge. Early detection and quarantining of any suspected cases took place through extensive contact tracing, properly triaging all patients upon admission, consistent monitoring of inpatients and HCWs for any emerging acute respiratory illness, allocation of more single rooms inside the facility and staff dormitory, and extending the services of virology laboratory to get timely results. Further measures consisted of extensive education on infection control practices, monitoring healthcare worker adherence, reassuring the public by maintaining transparency of published reports, and launching a hotline to respond to HCW concerns. Moreover, travel restrictions applied to any person with a history of exposure to a conﬁrmed MERS-CoV case during the 2-week monitoring period. Results: Overall, 44 cases of MERS-CoV infection were reported from 3 simultaneous clusters during the 2017 Riyadh outbreak, including 11 fatal cases. Among all of the cases, 29 cases were reported at King Saud Medical City. The outbreak at KSMC required 30 days to be controlled. Conclusions: High vigilance for early detection is a key control measure. To be more sensitive, point-of-care MERS-CoV testing is required because clinical suspicion is challenging in patients presenting with acute renal failure. Funding: None Disclosures: None
FOREIGN WORDS: ON THE ISSUES OF FUNCTIONING AND TRANSLATION

When used in the texts, foreign words often function as a stylistic device and become a relevant feature of the author’s individual style. The article looks at the issues of functioning and translation of foreign words with the focus on those not being “adapted”, that is preserving its original “foreign” form (unlike those being transcribed without morphological and syntactical changes). The work systematizes the ways these elements are introduced into the original text. It shows they can either be introduced with no explanation, relying on the reader’s general expertise and creating certain environment, flavour etc. or be accompanied by any kind of their meaning’s explanation). The article also offers the insights into the key functions of the foreign words in popular-science texts (specifically, they make the text sound more authentic and documentary, and also display author’s intelligence and competence). Further, the research finalizes the classification of the ways to translate/render the foreign words in the translated text in the view of the genre peculiarities of popular-science texts. Among other ways, such as preserving a foreign word with a translation of the author’s comment, transcription/transliteration, translator’s comments, actual translation into the target language, etc., such texts allow for science editor’s comments in translation.
"I can't work half-way, I don't want to, and I can't...": Zinovy Abramovich Muravich – manager and mentor (for the 50th anniversary of the training of personnel of the Ministry of internal Affairs in the Primorsky territory).

The article examines the life and work of Zinoviy Abramovich Muravich – the first head of the departmental educational institution of the Ministry of internal Affairs in the Primorsky territory. The author analyzes the conditions for creating and developing a higher educational institution that trains personnel for internal Affairs bodies. The article summarizes the experience of working with personnel in the field of training and educational work. The conclusion is made about the continuity of training of highly qualified specialists of the Ministry of internal Affairs in Primorye.
QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian

In this paper, we present the results and main findings of our system for the DIACR-Ita 2020 Task. Our system focuses on using variations of training sets and different semantic detection methods. The task involves training, aligning and predicting a word’s vector change from two diachronic Italian corpora. We demonstrate that using Temporal Word Embeddings with a Compass C-BOW model is more effective compared to different approaches including Logistic Regression and a Feed Forward Neural Network using accuracy. Our model ranked 3rd with an accuracy of 83.3%.
Traffic Flow Prediction using SUMO Application with K-Nearest Neighbor (KNN) Method

In Indonesia, the density of traffic flow occurs at the time of leaving and returning to work, long holidays or national holidays such as the end of the year (New Year). This annual routine activity is mostly carried out especially in big cities in Indonesia such as Bandung. Because Bandung is a city that has a lot of tourism, Bandung is therefore always the center of visitors to enjoy weekends or long holidays. So from this problem, we want to create a traffic prediction application that can help to solve congestion problems that have become an annual routine. The several types of vehicles used in the prediction are private cars, motorcycles, taxis, public transportation, large buses, mini buses, and mini trucks. Research conducted using the K-Nearest Neighbor method is a prediction of short-term traffic flow on Jl. Riau Bandung. The input used in making predictions is historical data on the number of vehicles going on Jl. Riau Bandung. The output generated from the use of the K-Nearest Neighbor method is the level of the jam class that runs on Jl. Riau Bandung in 2018 used a simulation on the SUMO (Simulation of Urban Mobility) application. The resulting performance of KNN with k = 3 has an accuracy of 99.21%, k = 5 has an accuracy of 99.60%, and k = 7 has an accuracy rate of 99.21% on 90% training data and 10% testing data.
PEMODELAN REGRESI LINEAR PADA PREDIKSI JUMLAH PENDUDUK DI KOTA TANJUNGPINANG MENGGUNAKAN ALGORITMA GENETIKA

Tanjungpinang city is one of the growing cities in Indonesia which growth show no sign of stopping with population increase every year. Population is one of the important indicators in city management to prevent unemployment and crime increase. Thus, it’s necessary to develop a program that can estimate the population growth in Tanjungpinang city. In this research, this problem will be modeled with linear regression that consists of the independent variable (X) and the dependent variable (Y). Coeffiecient regression would be generated using the concept of genetic algorithms. In the reproduction process using the extended intermediate crossover and random mutation, for the selection process using an elitism selection models. With final result in prediction using Linear Regression Modelling with sum of Error 1790005.143, best popSize values is 200, the best combination of crossover rate with mutation rate is 0.6:0.4, and the optimized number of generation is 100.
Back Cover: Numeric Optimization for Configurable, Parallel, Error‐Robust Entangling Gates in Large Ion Registers (Adv. Quantum Technol. 11/2020)

Novel optimization tools now enable high-efficiency parallel entangling gates within a register of trapped-ions. Using quantum control it becomes possible to simultaneously target arbitrary groups of ions for execution of entangling operations while others remain unaffected, while also adding error-robustness against trap instabilities. By framing the problem of obtaining target quantum gates using complex drives, and exploiting computationally efficient numeric optimization, Michael J. Biercuk and co-workers obtain flexible, reconfigurable, and approximately time-optimal control solutions (see article number 2000044).
Sequential Voicing in Old Japanese

This study tackles sequential voicing in Old Japanese with a focus on three matters: (a) the interaction of the eight vowels and aspirated consonants; (b) the association of the written system and sequential voicing; and (c) the interaction between the combinationality of each constituent and sequential voicing. Four hundred and seventy-two compound nouns of Old Japanese were collected from the corpus ‘The Japanese Lexicon: A Rendaku Encyclopedia’ by NINJAL. The findings reveal that (i) /k/ has the largest token number of sequential voicing and /p/ has the second largest token number, followed by /s/ and /t/; (ii) regarding the eight vowels /a/, /e1/, /e2/, /i1/, /i2/, /o1/, /o2/ and /u/, /a/ is most likely to form a [N1-N2] whose initial consonant is /k/, /p/ and /t/. It is not likely for the vowel /a/ to invite a voiced ‘/s/-initial’ N1’; /o1/ and /o2/ are both likely to combine with a voiced consonant /k/; /t/ and are less likely to yield a voiced /s/; /e1/ is more likely to invite a voiced consonant than /e2/, but /e1/ does not invite a voiced /p/; /e2/ does not yield a voiced /s/; and /i1/ is likely to take a voiced consonant than /i2/. /k/ and /t/ are the two consonants that are most likely to be voiced when forming a N-N with N1 ends with /i1/. /i2/ does not invite a voiced /p/, /s/ or /t/; /u/ never results in a voiced /s/; (iii) there is a split in the characters that renders a voiced phoneme or an unvoiced phoneme; and (iv) the semantic relationship of N1 and N2 in [N1-N2] that bears sequential voicing is of six types, of which the most frequent relationship of N1 and N2 is [Modifier - N2]. The [prefix-N2] construction is not subject to sequential voicing.
LITERATURE REVIEW: PENGENALAN WAJAH MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK

Facial recognition to detect the identity of the gallon user's face in honesty in the school environment has many methods such as local, global, and hybrid approaches. The main problem of using the gallon of honesty is that the program uses the Self-service system, which is a self-service system, where the buyer serves itself unattended. The water charging activity is still found by users who are dishonest, such as taking water but not putting money into the place that has been provided, the thing that should be when the user fills the water then the user must also enter Money into the box provided. Because of the absence of supervision in this program of honesty then it is difficult to know who is dishonest in order to be able to do prevention for the dishonesty that has occurred when using the gallon of honesty program. Facial recognition using the Convolutional Neural Network (CNN) method to classify images. A literature review is used to analyse and focus on techniques in conducting facial recognition on the use of gallons of honesty. Keywords: facial recognition, convolutional neural network methods, a gallon of honesty