Reviewerly/exHarmony huggingface dataset:
Formation of communicative competence of preschool teachers as a factor of creation of a bilingual educational environment

We conducted a pedagogical experiment among students of the Faculty of Preschool Education of the "South Ural State Humanitarian Pedagogical University". After the experiment, it was dicovered how the students' motivation to learn a foreign language had changed. The percentage of motivated students in the experimental group increased by about 10%. According to the level of formation of the procedural component of interactive competence, the results in the experimental group changed as follows: the low level of formation of the procedural component of interactive competence changed from 31% to 15%, the number of students with an average level of formation of the procedural component of interactive competence increased from 54% to 70%, the percentage of students with a high level of formation of this component of interactive competence remained the same. We believe that the use of interactive teaching methods in a foreign language class contributes to the formation of interactive competence, the basis of which is the necessity to combine language competence, professional knowledge and skills, as well as the socio-behavioral context.
한국 서해 참조기(Larimichthys polyactis)의 육안판별법과 GSI판별법에 의한 성숙체장 추정

Determination of the precise size at sexual maturity is very important for science-based stock assessment and fisheries resource management. In this study, two different models, (1) a visual method and (2) a gonadosomatic index (GSI) method, were employed to estimate length at sexual maturity of the small yellow croaker Larimichthys polyactis in the Yellow Sea of Korea. The visual method is a common qualitative method using visual gonadal identification. Conversely, the GSI method is a quantitative method using the GSI, which can be easily and precisely collected. We compared results from these methods to determine the best approach, and to examine the practicality of the GSI method. Logistic regression of the maturity ogive was conducted using a general linear model (GLM) with the R statistics program. Also, the bootstrapped 95% confidence intervals of all estimates were calculated. The best-fit model was the visual method (RMc 2 =0.805, AUC=0.989, L50=15.1). Among models using the GSI method, the model computing GSIref=0.94 was the best-fit model (RMc 2 =0.792, AUC=0.989, L50=15.2). There was no significant difference between the two models, evidencing the effectiveness and accuracy of the GSI method.
Telaah Buku Teks Mata Pelajaran Bahasa Jawa SMA Wiyata Basa Jawa ‘WIBAWA’ Berdasarkan Diagram FRY

This study will reveal the quality of the textbooks used in DIY for high school students. From this research, the textbook standard will become a reference so that it can be used to achieve the goals of regional language education that have been mandated in the curriculum. This is a descriptive study. The data were collected from the WIBAWA book "Wiyata Basa Jawa". The research instrument consisted of WIBAWA textbook assessment instrument with Fry Graph instruments/indicators. WIBAWA textbook readability was 66.67%, while 33.33% of the book did not meet legibility. The 33.33% unacceptability does not mean completely unacceptable, but there are parts that are too easy and some parts that are too difficult, so it needs to be revised.
Access Some Areas: Reforming Access Categories for Data in a Social Science Data Archive

In this paper we outline the process of revising data access categories for research data sets in GESIS â€“ a large European social science data archive based in Germany. The challenge is to create a minimal set of workable access conditions that cope with a) facilitating as â€œopen as possible, closed as necessaryâ€ expectations for data reuse; b) map on to existing legacy access categories and conditions in a data archive.&#x0D; The paper covers the work done in gathering data on data access categories used by data archives in their existing data catalogues, the choices offered to depositors of data in their user agreements, and work done by other data reuse platforms in categorising access to their data. Finally, we talk through the process of refining a minimal set of data access conditions for the GESIS data archive.&#x0D;
Enhancements in Decision Making Through Sentiment Analysis of Twitter Data

All trades and business run predominantly on customer satisfaction and serves as the key to success. Usually, the decisions made by people is largely dependent on others’ perspectives. Hence, it becomes important to have reviews in your favor to sustain and outperform competitors in the market. Collecting reviews and predictions and analyzing them is an effective method to get insights on how the product, service or subject is accepted by the public. It also helps us discover the fields or aspects that needs to be improved. This comes under the field of Sentiment Analysis which refers to the computational identification of views, perspectives, opinions and emotions from text and speech through Natural Language Processing. With the emergence of the internet, blogging and social-networking sites are a rage. Twitter is one of the popular and ubiquitous sites and acts as a reliable source of feedback. In this paper, we seek to detect the emotion portrayed in a given tweet with significant accuracy. We propose the use of Word2Vec model and Count Vectorizer to extract features from pre-processed data. The output is fed to trained Multi-Layer Perceptron classifier to detect the emotion behind the sentence.
On the Current Status and Future of Self-Taught Higher Education Examination

As one of the major innovations of China's higher education system, the self-taught examination system has made brilliant achievements in its decades of development and has nurtured a large number of high-quality talents for the country and society. However, with the development of the times, various forms of higher education are emerging, which has had a great impact on self-taught exams. Some problems of self-taught exams have been exposed. Solutions to solving these problems have become the key to promoting the healthy and sustainable development of higher education self-taught exams.
ACTUALIZATION OF TRAINING OF FUTURE SPECIALISTS BY MEANS OF INFORMATION AND TELECOMMUNICATION SUPPORT IN EDUCATIONAL INSTITUTIONS

The pedagogical research on the relevance of professional training of future specialists by means of information and telecommunication support in educational institutions with the help of general and special theoretical methods of analysis was carried out, but among them the method of content analysis was chosen as the predominant one. Methodologically substantiated information and telecommunication support for training of future specialists of educational institutions and specified the conceptual and categorical apparatus of the research problem, systematized information and telecommunication resource base, namely decision support systems, tools, tools, platforms and resources of information and telecommunication support for professional training educational institutions.Key words: professional training, content analysis, information and telecommunication support, resources, platforms.
Notes on three-pass protocol

The article discusses primitive, linear three-pass protocols, as well as three-pass protocols on associative structures. The linear three-pass protocols over finite fields and the three-pass protocols based on matrix algebras are shown to be cryptographically weak.
Selection of algorithms of small type regulator for wind power plants

The use of wind energy is a wind, characterized by a change in the parameters of the stochastic law and low energy density. The advantages of wind power are the slight negative impact of the operation of wind power plants on the environment, the absence of largescale construction, exclusion zones, etc., Consideration should also be given to the disadvantages of high-frequency radiation, problems of ensuring the quality of electricity produced and the inability of constant output. In the field of process automation, fuzzy logic controllers make it possible to implement control systems with new properties that are difficult to achieve when using the methods of classical theory of automatic control. Takagi-Sugeno algorithm has more constant zero-order initial values than Sugeno-algorithm. The application of this algorithm is more suitable for simplifying controllers that use higher order differential equations. Larsen and Tsukamoto's algorithms are more suited to changing the blade angle, but the latter algorithm uses clear starting values and requires more time. Larsen's algorithm has sufficient robustness and speed, so it is used to change the blade angle, which is the primary adjustment due to the low speed of the drive mechanisms of the blade. To change the length of the blade, we use the Larsen algorithm, which has a "sharpness" corresponding to the primary control of the given value
Performance Analysis of Open Source Optical Character Recognition

Optical character recognition is the process of conversion of images of text into machine-encoded text electronically or mechanically. The text on image can be handwritten, typed or printed. Some of the examples of image source can be a picture of a document, a scanned document or a text which is superimposed on an image. Most optical character recognition system does not give a 100% accurate result. This project aims at analyzing the error rate of a few open source optical character recognition systems (Boxoft OCR, ABBY, Tesseract, Free Online OCR etc.) on a set of diverse documents and makes a comparative study of the same. By this, we can study which OCR is the best suited for a document.
INITIAL INVESTIGATIONS IN USING VIRTUAL REALITY TO TEACH CHEMISTRY

Virtual Reality (VR) has become a much more common household commodity thanks to the proliferation of more affordable VR devices. Whilst its use in the gaming industry is becoming widespread, its application in pedagogical environments has only just started, particularly in chemistry. As such, whether VR will aid or hinder the teaching and learning of chemistry is currently a topic of research and debate (Won, Mocerino, Tang, Treagust & Tasker, 2019).This project generated a range of VR materials designed to support students learning undergraduate chemistry. The topics included stereoisomers, VSEPR theory and introductory organic chemistry (namely addition and substitution reaction mechanisms). The VR materials were tested with both students and teaching staff, with all data audio recorded using a think-aloud protocol. Preliminary and follow-up interviews were also conducted with all participants. The students’ conceptual understanding was tested with common theoretical questions and concept inventories both before and after either a VR lesson or a paper-based version of the same theories covered in the VR lessons. The results of these trials will be discussed and their implications on the use of VR in the teaching and learning of chemistry considered.
Profil Pustakawan Ahli Utama dan Pengukuhannya

Pustakawan Ahli Utama is required to speech at the inauguration ceremony. Their number is 72 persons but not all of them had to speech. This study is to determine: the development arrangement and the process of the inauguration speech, their profile, include who has made the inauguration speech, and the reasons not made the script. The research was using a descriptive qualitative approach. The results found that Director National Library has not set the regulations yet. The inauguration speech process has administrative and scientific processes. The profiles of the Pustakawan Ahli Utama were 49 men and 23 women; educated as bachelor degree 33 persons, magister degree 37 persons, and doctoral degree 2 persons; the rank of Pembina Utama is 9 persons, Pembina Utama Madya 53 persons, and Pembina Utama Muda 10 persons; worked at National Library 23 persons, university 18 persons, special libraries 14 persons and public libraries 13 persons; 34 persons are still active and 38 persons have retired. Main reason who has not made are they have not submitted DUPAK to IV / e, they have not socialized the regulations, they have difficulties for a script; they had not been told; and nearing retirement.
TRANSFORMASI PERAN PUSTAKAWAN LIPI SEBELUM DAN SESUDAH REORGANISASI

Purpose.  This paper aims to provide an explanation of the transformation of the role of LIPI librarians before and after reorganization. Method.  The study was conducted descriptively by observing and studying literature. Results and discussion.  The results of the study show that prior to the reorganization, the roles of librarian are carrying out information retrieval activities related to research proposals submitted, making tracking publications to managing research results into the repository system as equal partners with LIPI researchers. In addition, they process library materials, do reference services, circulation, searching, and information packaging. After transformation, the roles of librarian are managing more research data in the repository system. The National Scientific Repository (RIN) developed by PDDI demands librarian competence to support the RIN system. Librarian competence is required to save researchers’ research data in the National Scientific Repository (RIN). The Law no. 11 of 2019 concerning the National System of Science and Technology (Sisnas Iptek) is expected to be able to regulate and become a guideline on the national research data repository system.
중국어권 한국어 학습자의 선어말어미 사용 오류 연구

This study examined the patterns, levels, and types of errors according to Chinese language user’s usage of prefinal endings in the learner error corpus constructed by the National Institute of the Korean Language. The analysis showed that the higher the proficiency level in the written corpus, the lower the error rate of the spoken word ending, and the opposite applies to the spoken corpus. The written and spoken corpus share a lot of common tense errors, especially in the past tense. The study further examined the patterns of the prefinal ending errors amongst the Chinese-speaking Korean learners. The types of errors in the prefinal endings according to the level of error and the aspect of error were analyzed. The errors in the prefinal endings were found to be mainly due to syntactic errors. Furthermore, the analysis demonstrates the necessity of separating written language and spoken language in the Korean language education. It thus can serve as useful resources for teachers, learners, and researchers in Korean language education. (Central China Normal University·Yonsei University)
Schema-Guided Natural Language Generation.

Neural network based approaches to data-to-text natural language generation (NLG) have gained popularity in recent years, with the goal of generating a natural language prompt that accurately realizes an input meaning representation. To facilitate the training of neural network models, researchers created large datasets of paired utterances and their meaning representations. However, the creation of such datasets is an arduous task and they mostly consist of simple meaning representations composed of slot and value tokens to be realized. These representations do not include any contextual information that an NLG system can use when trying to generalize, such as domain information and descriptions of slots and values. In this paper, we present the novel task of Schema-Guided Natural Language Generation (SG-NLG). Here, the goal is still to generate a natural language prompt, but in SG-NLG, the input MRs are paired with rich schemata providing contextual information. To generate a dataset for SG-NLG we re-purpose an existing dataset for another task: dialog state tracking, which includes a large and rich schema spanning multiple different attributes, including information about the domain, user intent, and slot descriptions. We train different state-of-the-art models for neural natural language generation on this dataset and show that in many cases, including rich schema information allows our models to produce higher quality outputs both in terms of semantics and diversity. We also conduct experiments comparing model performance on seen versus unseen domains, and present a human evaluation demonstrating high ratings for overall output quality.
The logic of Quantifier Raising

Displaced scope is a hallmark of natural language, and Quantifier Raising (QR) has long been the standard tool for analyzing scope. Yet despite the foundational importance of QR to theoretical linguistics, as far as I know, there has never been a study of its formal properties. For instance, consider the decidability problem: given an initial syntactic structure, is there an algorithm that will determine whether a semantically coherent QR derivation exists? If at least one such derivation exists, is the number of semantically different analyses always finite? How do we know when we have found them all? Do the answers to these questions depend on imposing scope islands or other constraints on QR, such as forbidding vacuous movement, re-raising, remnant raising, raising of names, repeated type lifting, and so on? I settle these issues by defining QRT (Quantifier Raising with Types), a substructural logic that is a faithful model of QR in the following respect: every semantically coherent QR derivation corresponds to a semantically equivalent proof in QRT, and vice-versa. Since QRT is decidable and has the finite readings property, it follows that a broad class of theories that rely on QR also have these properties, without needing to place any formal constraints on QR. I go on to study the special relationship between type lifting and QR, drawing an analogy with eta reduction in the lambda calculus. Allowing unrestricted type lifting does not compromise decidability. In addition, it turns out that QR with type lifting validates the core type shifting principles of Flexible Montague Grammar, a paradigm example of an in-situ type-shifting approach to scope taking. This suggests that QR is compatible with a local, directly compositional view of scope taking. These results put Quantifier Raising on a reassuringly firm formal footing. EARLY ACCESS
Designing a Fuzzy Logic Controller with a NonParametric Similarity-Based Clustering Algorithm

Clustering algorithms are used to produce powerful extension to design a three-term (proportional plus integral plus derivative—PID) fuzzy logic controller(FLC). They can be used to eliminate the presumption of the existence of expert information and extract rules that can satisfactorily represent the systems. In this paper, a non-parametric clustering algorithm based on data similarity, which is free of user-defined parameters is proposed. This algorithm is simple and fast. For comparison purposes, two methods of extracting the rules for a three-term FLC from the generated clusters were presented. These two methods entail on the use of the linguistictype model and the Takagi-Sugeno-Kang (TSK)-type model. Two applications representing second-order systems and thirdorder systems were used to analyze the performance of the proposed design methods and compared with other design methods. The analysis shows that the proposed design methods are efficient and superior to other design methods with respect to transient response, accuracy, and robustness to variation of defuzzification methods.
IMPLEMENTASI SISTEM INFORMASI MANAJEMEN AKADEMIK SEVIMA DALAM MENGOPTIMALKAN MUTU LAYANAN AKADEMIK PERGURUAN TINGGI

The implementation of the Sevima Academic Information System aims to improve the quality of academic services at the Faculty of Tarbiyah and Teacher Training, IAIN Lhokseumawe. This research aims to determine the mechanism for implementing web-based educational management information systems in improving the quality of academic services and supporting and inhibiting factors. The research method used is a qualitative method with a descriptive-analytical approach. The research subjects are lecturers, students, academic staff of the Tarbiyah Faculty and Teacher Training Center IAIN Lhokseumawe. The study results are (1) the implementation of the SEVIMA educational management information system mechanism using information and communication technology (ICT) devices in all administrative and educational activities. They can be accessed and accepted by all academic service users; (2) The supporting factor in the implementation of SEVIMA IAIN is a reduction in operational costs in managing academic data such as ink, paper, printing, and other equipment; being able to adapt to academic needs; being integrated with one another; and web-based networks, minimal maintenance costs. Making it very more accessible for users to use the educational management information system (SIM Akademik). As for the inhibiting factor in web-based educational information systems in improving academic quality in the FTIK IAIN Lhokseumawe environment, human resources still lack personnel and abilities, facilities, and infrastructure are not optimal.
What's New in Civic Tech: States Deploy CHatbots for Crisis

BDigital services and call centers within state governments throughout the nation over have at times been overwhelmed by the increase in volume. In turn, states have turned to new approaches to hel...
Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity.

This paper revisits the receptive theory in the context of computational creativity. It presents a case study of a Paranoid Transformer—a fully autonomous text generation engine with raw output that could be read as the narrative of a mad digital persona without any additional human post-filtering. We describe technical details of the generative system, provide examples of output, and discuss the impact of receptive theory, chance discovery, and simulation of fringe mental state on the understanding of computational creativity.