Reviewerly/exHarmony huggingface dataset:
The problem of career guidance of the youth in domestic pedagogical theory and practice

The most important mechanism for raising competitiveness in the labor market is career guidance which represents a set of special measures in the framework of professional self-determination and the choice of the optimal type of employment, achieving a balance between the professional interests of a person and the needs of the labor market. Career guidance is one of the main objectives of educational institutions of all types. It is combined with the preparation of young people for work in conditions of a market economy, the formation of appropriate motivations for work in the younger generation, conscious planning and choice of professional activity and form of employment, taking account of personal interests, health status, individual characteristics and inclinations of each person, and requirements of professions and the labor market. The problem of the study presented in the paper is that the labor market has contradictions in two aspects: the first one is self-determined personnel who is capable of finding a solution in non-standard situations, the second one is the lack of readiness among contemporary adolescents to build their own professional prospects. The purpose of the study is to uncover the specifics of the organization of career guidance activities with students in educational institutions. Object of the study is career guidance activities. Subject of the study is the specifics of organizing career guidance activity with students in educational institutions. The methods used in the study comprise theoretical and empirical methods: survey, observation, analysis of the literature, statistical analysis, test “Life-meaning orientations” (the technique of LMO). Based on the results of the study, the authors of the paper disclosed the concept of career guidance, its essence, approaches, directions; specifics of organizing career guidance activity with students; innovative methods and forms of career guidance have been described; a career guidance program for young people has been designed.
A COGNITIVE APPROACH IN DEVELOPING A SYSTEM OF EXERCISES FOR TEACHING RUSSIAN FIGURATIVE IMAGES WITH FLORISMS TO FOREIGN STUDENTS

The study of figurative units (similes and metaphors) with a national-specific component is usually considered impossible until the foreign student reaches an advanced level. The authors of the article have developed an innovative system of exercises based on a cognitive approach to language learning. This system has been tested and has shown excellent results when applied even at the initial level. The system is based on three principles: 1) the cognitive complexity of the unit (based on thе model of an image formation, consisting of the subject of comparison, object and a connector); 2) the clarity of motivation of the figurative image by the surrounding context (the category of explicitness / implicitness of the characteristic that gives the reason for the image creation); 3) stylistic differentiation. Analysis of 37,000 contexts with a description of a person, his behavior, appearance by comparison with florisms allowed to formulate the main patterns according to which Russian writers build their figurative images. For example, such images have a positive connotation when describing a person's appearance in Russian (phytonyms – when describing a face, dendronyms – a figure, mycotonyms – a body fortress), except for the description of the shape of the head and nose, which always have a negative connotation. Florisms used to describe a person's intellectual abilities have a negative connotation of feebleness and stupidity. Age, transferred by means of florisms, has a sharply negative and even offensive meaning. As a result of the research, 10 such patterns were formulated. These findings allow students to understand the General meaning of a figurative image and suggest a direction in searching for the reason of a simile or a metaphor (the main feature). Formulas were tested using the method of questionnaire survey of 7150 respondents – native speakers of Russian. The respondents were asked to write one or more adjectives that motivate a figurative description of a person. The connotation in the semantic structure of the meaning of adjectives confirmed the assessment of the image. Therefore, the system of teaching the comprehension of figurative images containing florisms was created in accordance with the above three principles, 10 formulas, as well as methodological requirements for successive complication of exercises. It consists of three parts (from the most cognitively simple material to the most complex): 1) explicit comparisons and metaphors with a motivating word; 2) implicit comparisons; 3) implicit metaphors. Each part includes four types of tasks according to the sequence: observation – analysis – selection – image creating.
Characteristic evaluation of a VC with feeling of adhesive peeling designed by a passivity design method on frequency range

This research studies effects of a Virtual Coupling (VC) designed with fractional derivatives for virtual reality environment. In the previous researches, we proposed a design method of VC with various fractional derivatives instead of a virtual damper to express various hardness, concerning the passivity distribution in frequency ranges. In a characteristic passivity distribution, we have found to get a feel like stickiness or adhesive peeling. This study, therefore, focuses on and considers the relationship between stickiness and passivity. We also compare the passivity of VC making sticky feeling, and the experimental results in the previous research of peeling adhesive tape.
Improving Gesture Recognition with Machine Learning: A Comparison of Traditional Machine Learning and Deep Learning

Meaningful gesturing is important for an intuitive human-machine communication. This paper deals with methods suitable for identifying different finger, hand and head movements using supervised machine learning algorithms. On the one hand it discusses an implementation based on the k-nearest neighbor classification algorithm (traditional machine learning approach). On the other hand it demonstrates the classification potential of a convolutional neural network (deep learning approach). Both methods are capable of distinguishing between fast and slow, short and long, up and down, or right and left linear as well as clockwise and counterclockwise circular movements. The details of the different methods with respect to recognition accuracy and performance will be presented.
THE SELECTION PREFERENCES OF EDUCATIONAL MATERIALS BY COMPUTERS SCIENCE TEACHERS IN THE CZECH REPUBLIC

There’s a wide variety of different educational materials, which can be used in computer science education in schools. Some of these educational materials can consist of multimedia and interactive objects, some can be made only by basic text and pictures. In this paper are presented findings that were focused on the diversity of educational materials, which teachers prefer using in computer science’s subjects in schools. Also, the research involves the topic of how teachers proceed, when they are choosing an educational material from a foreign source. The data were collected by a questionnaire among Czech teachers of the second grade of elementary schools and its equivalent in grammar schools. Results show, that teachers are using a diversified group of educational materials, and the majority of teachers are using not only their educational materials but also educational materials from foreign sources. Based on the research, we can establish, which properties and criteria are most required, when teachers are choosing educational materials.
Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking

Scaling up dialogue state tracking to multiple domains is challenging due to the growth in the number of variables being tracked.Furthermore, dialog state tracking models do not yet explicitly make use of relationships between dialogue variables, such as slots across domains.We propose using energy-based structure prediction methods for large-scale dialogue state tracking task in two multiple domain dialogue datasets.Our results indicate that: (i) modelling variable dependencies yields better results; and (ii) the structured prediction output aligns with the dialogue slot-value constraint principles.This leads to promising directions to improve stateof-the-art models by incorporating variable dependencies into their prediction process.
Determination of Vibro-Acoustic Properties of Brass Instruments

This research focusses on the influence of material and manufacturing techniques into the sound of brass instruments. It includes in a first step time-resolved pressure fluctuation measurements for a variety of brass instruments and with different players, varying pitches, volume levels, etc. In a second step, experimental and numerical investigations were performed on straight tubes made from different materials in order to quantify the coupling between the artificially excited air column an the surrounding wall material.
Deterministic version of the dynamic task of assigning labor resources

The article deals with a deterministic variant of the dynamic task of assigning labor resources. There are labor resources, wishing to find a job, and many enterprises offering vacancies. Appointment of workers can be done in an optimal way: for a given initial state of the process, maximize the total income of the enterprises. The problem can be solved using the dynamic programming technique - Bellman functional equations. A numerical example is given.
A PSO Algorithm with Multi-Grouping and Two-Layer Structure

A PSO (particle swarm optimization) algorithm with multiple groups and two-layer structure(MTPSO) is proposed. First, the whole particle swarm is divided into several groups, each one is optimized. For enhance efficiency in the optimization process, each particle adopts a mixed algorithm of negative gradient. Secondly, according to the function value of each particle solution, the particle group is divided into two structures: the elite layer and the ordinary layer. In the algorithm initialization phase, the particles with the best value in each group are selected into the elite layer. The particles in the elite layer are relatively fixed and regularly selected (similar to the parliamentary mechanism in human society), that is, each elite layer as a whole. After several iterations of optimization calculations in the same way as the normal layer, the new elite layer is formed again according to the previou method. The optimal solution calculated by the elite layer is added as a global optimal solution to the position update formula of each particle. Similarly, the optimal solution for the common layer is also added to the update formula for each particle in the elite layer. It reflects the upper and lower particle’s mutual penetration and mutual influence of. Simulation experiments show the proposed algorithm is able to avoid premature and powerful global optimization ability and fast convergence, PSO’s computing efficiency.
SCIENCE DIPLOMACY 4.0: HUMANS VS. HUMANOID ROBOTS AND A.I.S

In this paper, the author analyzes the present moment of human civilization development in light of the 4th Industrial Revolution (4IR) characterized by robotics and digitalization. The speed of technological changes has started to bring several important challenges to humans. Some of these changes might soon change some of the basic paradigms of human lives. Following to an inquiry into possibilities of future relations between Humans and Humanoid Robots, the author suggests that, for the sake of preserving the human civilization, the time has come to start deﬁ ning rules of peaceful co-existence with smart Humanoid Robots in the form of a New Diplomacy for the 21st Century— “Science Diplomacy 4.0”.
HapiFabric: A Teleconsultation Framework Based on Hyperledger Fabric

Due to longevity, the world population is getting older; this leads to an enormous number of patients with chronic diseases. Their vulnerability in facing viral and bacterial diseases, in particular in the case of the outbreak of the coronavirus, promotes teleconsultation since the latter reduces their physical interactions and consequently, their chance of contamination. Teleconsultation is considered more economical, comfortable, and practical compared to face-to-face consultations. Due to the criticality of the data and process in teleconsultation, there are numerous concerns, in particular in terms of reliability and security. Moreover, similar to all financial systems; the transparency concerns are also prominent in teleconsultation. To this end, we propose HapiFabric, a teleconsultation framework based on Hyperledger Fabric. Our proposed framework exploits this blockchain technology to improve security, reliability, and transparency of teleconsultation workflows. Without losing generality, we prioritize the elderly and patients with chronic diseases in HapiFabric becasue of their vulnerability. Our innovative teleconsultation workflows cooperate with a telemonitoring service to provide comprehensive medical care at the patients’ homes. We exploited Hapicare, an existing healthcare monitoring system with self-adaptive coaching using probabilistic reasoning, as one of the main participants of HapiFabric which provides telemonitoring services. Moreover, HapiFabric has other participants, namely patients, doctors, insurance, and auditors. We have opted for off-chain data storage of medical data using the InterPlanetary File System (IPFS). We evaluate the HapiFabric framework using two scenarios.
IMPLEMENTASI HONEYPOT PADA JARINGAN INTERNET LABOR FAKULTAS TEKNIK UNIKS MENGGUNAKAN DIONAEA SEBAGAI KEAMANAN JARINGAN

AbstractLack of knowladge of computer user about system security problem is one of the cause of computer problems. There are many computers that do not update their antivirus and some even do not use an antivirus. Network security techniques usually block attacks using a firewall or detect attack with IDS (Intruction Detection System), which is in charge of guarding against axisting attacks. However, by only using IDS the network administrator will be overwhelmed checking every notification given by IDS. This IDS works almost the same as an antivirus, unable to work in an encrypted environment or an IPv6 environment. For that, additional security is needed such as a dionaea honeypot. A honeypot is a fake system the signed to trap attacker, as if it were a real system. Based on these problems, a research will be conducted on the Analysis And Implementation Of Honeypot Using Dionaea as Network Security Support. Keywords: Honeypot, Dionaea, IDS, Firewall, Malware
Application of K-Means Clustering to Determine Influence Facebook's Social Media on Micro, Small and Intermediate Business (UMKM) in District of Pekanbaru City

In Indonesia, especially in the Pekanbaru City area there are many micro, small and medium-sized businesses (umkm). Along with the times and increasingly sophisticated technology requires the actors to work harder and innovate to be able to increase revenue. The technique of utilizing data into new information is also referred to as data mining. One of the most popular data mining methods is clustering using the K-Means algorithm. K-Means can process data without being notified in advance of its class label. This research will produce two groups of Facebook social media users influential, and very influential. The results of data processing are getting closer to zero, then the similarity of cluster data member will be better.
Teaching Reading on English for Specific Purposes with Think-Pair-Share Technique

Different departments in a university have different terms with general English. English for Specific Purpose (ESP) helps students with different departments learn specific terms. Social studies study program is one of the majors that its students find it rather hard to comprehend the content and terms related to their major. Think-Pair-Share (TPS) on reading helps develop students' ability to understand the text. This study is aimed to find out the difference between the students who are taught using ESP text with Think-Pair-Share (TPS) Technique and those who are not taught with the TPS technique. This study employs a quasi-experimental design. The study objects were the students of the social studies study program, which were classified into experimental and control groups. The research instruments were related to social studies in English passages. Posttest data were calculated and used to determine the treatment's effectiveness or any significant difference in each group. The data were analyzed by an analysis of variance (ANOVA) to test the hypotheses. The study results reveal that experimental and control classes have a significant difference in the mean; 76.63 is an experimental group mean that was higher than the control group mean that was 74.64. It shows that the students who used the Think-Pair-Share technique had better reading comprehension on ESP text than the students who did not use the technique. This is due to the implementation's steps that emphases students' performance and togetherness on doing their activities in the classroom activities to develop their ability in language skills. This study is expected to provide new insight into English for specific purposes and give valuable experience in teaching reading for specific social studies. This research is also proposed some new vocabularies related to social studies to the students. Thus, this study gives sight and information about English reading texts based on social studies.
Os desafios do ensino de PLE a estudantes búlgaros (fonética segmental e suprassegmental

This paper aims to present the specificity of teaching and learning Portuguese as a Foreign Language (PLE) in the academic context at Sofia University Sveti Kliment Ohridski. Taking into account the local tradition of teaching PLE and the students‘ results in the oral expression are intended to outline the critical areas in the acquisition of PLE by Bulgarian students. The most persistent errors are identified at the level of the Segmental and Suprasegmental Phonetics and working hypotheses for future research in this area are defined. It also seeks to study the application of digital resources, the internet and audiovisual media to stimulate students‘ self-motivation and emotional commitment to overcome the difficulties encountered in learning PLE.
Perceptron Ranking Using Interval Labels with Ramp Loss for Online Ordinal Regression

Due to its wide applications and learning efficiency, online ordinal regression using perceptron algorithms with interval labels (PRIL) has been increasingly applied to solve ordinal ranking problems. However, it is still a challenge for the PRIL method to handle noise labels, in which case the ranking results may change dramatically. To tackle this problem, in this paper, we propose noise-resilient online learning algorithms using ramp loss function, called PRIL-RAMP, and its nonlinear variant K-PRIL-RAMP, to improve the performance of PRIL method for noisy data streams. The proposed algorithms iteratively optimize the decision function under the framework of online gradient descent (OGD), and we justify the algorithms by showing the order preservation of thresholds. It is validated in the experiments that both approaches are more robust and efficient to noise labels than state-of-the-art online ordinal regression algorithms on real-world datasets.
Evaluasi Sistem Informasi Akuntansi Pembelian Dalam Kaitannya Dengan Pengendalian Internal

The purpose of this research is to study the accounting information system and internal control in assisting the purchasing activities. The research was administered in PT Jayatama Selaras located in Kawasan Korin Jl. Raya Narogong, Kabupaten Bogor 16820, Indonesia. Internal control is impeccably necessary for working entities due to its functions in supporting and assisting companies to protect their cash and assets. Internal control also protects companies from frauds committed by irresponsible individuals and causing great loss. The research method used is descriptive qualitative where the author described the system and procedures of purchasing activities and internal control run and operated in PT Jayatama Selara, and then compared them to literature explanations. The study resulted in conclusion that PT Jayatama Selaras has already been running and operating an appropriate system in which the company is not allowed to having single supplier. There is gradual approval in the process of request until purchasing decision, and there are also task divisions in the departments of warehouse, purchasing, accounting and receiving. Internal audit is consistently being carried out twice a year.
Annotated corpora and tools of the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)

This multilingual resource contains corpora in which verbal MWEs have been manually annotated, gathered at the occasion of the 1.2 edition of the PARSEME Shared Task on semi-supervised Identification of Verbal MWEs (2020).VMWEs include idioms (let the cat out of the bag), light-verb constructions (make a decision), verb-particle constructions (give up), inherently reflexive verbs (help oneself), and multi-verb constructions (make do). For the 1.2 shared task edition, the data covers 14 languages, for which VMWEs were annotated according to the universal guidelines. The corpora are provided in the cupt format, inspired by the CONLL-U format. Morphological and syntactic information ­­­­– not necessarily using UD tagsets – including parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe). This item contains training, development and test data, as well as the evaluation tools used in the PARSEME Shared Task 1.2 (2020). The annotation guidelines are available online: http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.2