Reviewerly/exHarmony huggingface dataset:
Developing a Learning Module 唐诗 (Tangshi)

Poetry is a critical element of literature which must be studied. The language in poetry is a parable language and difficult to understand because the language is rarely used in everyday life. Similarly, classical Chinese poetry preserves ancient Mandarin （文言文） [Wén yán wén] which was used in the past in China. This study is based on the findings of students’ difficulties in understanding the meaning of classical Chinese poetry. The research aimed to develop a learning medium in the form of a famous Chinese classical poetry learning module during the Tang Dynasty. There are three classical Chinese poems in this module, namely, the 静夜思 [ Jìngyè sī] by 李白 [Li Bai]; 春晓 [Chūnxiao] by ̌ 孟浩然 [Meng Haoran]; and 春夜 喜雨 [Chūnyè x ̌iyu] by ̌ 杜甫 [Du Fu], which are accompanied with an explanation of the poetry, learning activities, formative assignments, and evaluation. This study uses the Five Phases of Instructional Design Model developed by Cennamo and Kalk (2005). The results of this study indicate that the module is excellent and suitable for learning.&#x0D; Keywords: learning module, 唐诗 (Tangshi), literature Study, R&amp;D
Verb Sense Disambiguation by Measuring Semantic Relatedness between Verb and Surrounding Terms of Context

Word sense disambiguation (WSD) is considered an AI complete problem which may be defined as the ability to resolve the intended meaning of ambiguous words occurring in a language.Language has complex structure and is highly ambiguous which has deep rooted relations between its different components specifically words, sentences and paragraphs.Incidentally, human beings can easily comprehend and resolve the intended meanings of the ambiguous words.The difficulty arises in building a highly accurate machine translation system or information retrieval system because of ambiguity.A number of algorithms have been devised to solve ambiguity but the success rate of these algorithms are very much limited.Context might have played a decisive role in human judgment while deciphering the meaning of polysemic words.A significant number of psychological models have been proposed to emulate the way the human beings understand the meaning of words, sentences or text depending on the context.The pertinent question that the researchers want to address is how the meanings are represented by human beings in mental memory and whether it is feasible to simulate with a computational model.Latent Semantic Analysis (LSA), a mathematical technique which is effective in representation of meanings in the form of vectors that closely approximates human semantic space.By comparing the vectors in the LSA generated semantic space, the closest neighbours of the word vector can be derived which indirectly provides lot of information about a word.However, LSA does not provide a complete theory of meaning.That is why psychological process modules are combined with LSA to make the theory of meaning concrete.Predication algorithm with LSA was proposed by Kintch, 2001 which was sufficient to capture various word senses and was successful in homonym disambiguation.Meaning of a word might have multiple senses specifically verbs.For example, verb "run" has 42 senses in WordNet.In order to find the correct sense of a verb is really a daunting task and resolving verb ambiguity using psycholinguistic model is very much limited.The proposed method has exploited the high dimensional vector LSA space resulted from training samples by applying predication algorithm to derive the most appropriate semantic neighbours for the target polysemous verb from the semantic space.Finally the vector space of test samples are checked with the training samples i.e. semantic neighbours to classify the senses of polysemous words in accurate manner.
Reduction Free Normalisation for a proof irrelevant type of propositions

We show normalisation and decidability of convertibility for a type theory with a hierarchy of universes and a proof irrelevant type of propositions, close to the type system used in the proof assistant Lean. Contrary to previous arguments, the proof does not require explicitly to introduce a notion of neutral and normal forms.
Digital Education For Physical Culture And Sport: Views And Experience

Digital education is the logical stage of social life's digitalia. In the field of Russian physical education digital technologies have been actively developed and implemented over the past eight years. The purpose of this study is to determine a systematic view of the digitalization of education and the place of the author’s position in it, formulated by the results of a three-year pedagogical experiment in the implementation of the distance course “The highest achievements' sport as a sphere of creative activity”. We have revealed that the distance educational format, as well as the traditional educational format, allows, performing tasks of current control (writing a lecture notes with a further answer to control questions in the form of a specific table, writing creative homework with a further answer to control questions in the form of a specific table, answers to control questions on topics of discussions and heuristic conversations in the form of a specific table, writing theoretical and creative essays with further preparation of presentations for their distance defense by way of answers to control questions in the form of a specific table, performing author's research based on the analysis of abstracts of dissertations by leading scientists on the subject of the course), fully prepare for passing the intermediate control (exam) and get the final certification in academic discipline.
Language Portfolio as a Means of Developing Communicative Competence

In the modern world, personality formation takes place in new socio-economic and political conditions, which changes the approaches to the organization of training and education.In recent years, changes have occurred in the education system that has led to the reassessment of traditional teaching methods and the search for the latest technologies for optimizing the educational process.The main task is to create the conditions for the formation of personal autonomy of students, the conduct of adequate self-monitoring and self-esteem in the process of studying a foreign language.An effective form of the required skills of reflection and assessment of the achievements of cognitive activity is facilitated by the language portfolio, which is used as a means to identify the results of a student in the process of learning a foreign language.Unlike other methods of control and evaluation, the effectiveness of the language portfolio is characterized by the logically sound nature of assessment and self-esteem, which is ensured by the academic achievements and results of creative activity displayed in the language portfolio, as well as assessment criteria and integration of the student's personal experience in the process of learning a foreign language.The language portfolio as a means of self-esteem serves as a vector of increasing motivation among students to learn a foreign language.In this article, we present the language portfolio not as educational technology but as a means of self-control of the student in the process of learning a foreign language.
Youths Movement: An Examination of End Special Anti-Robbery Squad (EndSARS) Protests and Challenges Facing the Nigerian Youths

Societies mostly see youths as the root of all evils.Youths are painted as being the centre of violence, be it political, ethnic, religious, gang and the list goes on.Any society that fails to protect or provide the right and interest of its youths may never be a safe and prosperous one.Every society will be secured if it had ideals and system to ensure justice.Not abandoning the youths to the fringes and mercies of poverty, inequality, lack of quality education, and unemployment.Failure to invest, promote and protect the youths may result in radicalization, escalation of violent acts and extremism.This paper examines the youth's movement in Nigeria and EndSARS protest.Whether or not the protest complied with due process and the challenges confronting the Nigerian youths are discussed.The paper is a content analysis and it revealed that the EndSARS protest is not only for the brutality, disbandment of SARS but reforming the entire Nigerian Police Force and other lukewarm attitudes of government against Nigerian youths.The paper reveals that short-sighted policymaking fails to properly integrate the youth's needs.Youths are not involved in political and economic structures, this influences Nigerian youths to indulge in a series of agitations and violent acts of political thuggery, armed robbery, ethno-religious crises, kidnapping etc.It is recommended that reforming the Nigerian Police Force may fetch out the bad eggs.The institution may regain its confidence from the public and Nigerians youths.It concluded that public confidence should be resuscitated towards the NPF.
The Use of Design Thinking in a Global Information Technology Company

Software companies have been using Design Thinking to support software development, fostering the creation of innovative features and products. However, there is not so much knowledge of what matters for the application of Design Thinking being successful. Thus, this study aims to describe how does the adoption of Design Thinking with software development take place in a global information technology company through an interview-based case study with 16 professionals. Our analysis indicates that Design Thinking is used in software products, software improvements, processes, user experience identification and solution discovery. Also, there are perceived benefits and challenges during the Design Thinking activities. As a result, this paper describes the Design Thinking phenomenon in software development, serving as a guide for practitioners on how to set up and implement Design Thinking activities and publishing more academic research.
In Search of a Unit of Speech. Methodological Reflections Sparked by a New Understanding of Language

The article aims at a revision of such terms as sentence, utterance, speech act, or communication event in view of new research needs and a broader understanding of language as involved in a complex communication process and, thus, considered a tool for not only generating meanings but also conveying them in interpersonal collaboration. From such a perspective, language appears to be not only a system but also one of the tools of symbolising meanings and intentional acts which serve the purpose of generating and regulating social bonds. The purpose of the authors is, thus, to define traditional linguistic concepts in order to make them good tools to describe the types of communication events and the ensuing individual interactions. We also intend to resolve the existing terminological confusion, i.e. to eliminate the employment of the same terms to describe different speech events and different levels of speech, and, as a result, to place the concepts in a hierarchy and assign them clear definitions. All this is undertaken in order to fit in the perspective of the observer as an active participant and contributor to the communication event, utterance or even a sentence
High-entropy dual functions over finite fields and locally decodable codes

Abstract We show that for infinitely many primes p there exist dual functions of order k over ${\mathbb{F}}_p^n$ that cannot be approximated in $L_\infty $ -distance by polynomial phase functions of degree $k-1$ . This answers in the negative a natural finite-field analogue of a problem of Frantzikinakis on $L_\infty $ -approximations of dual functions over ${\mathbb{N}}$ (a.k.a. multiple correlation sequences) by nilsequences.
Self-learning soft computing algorithms for prediction machines of estimating crowd density

Human needs motivate the improvement of computing paradigms, the emergence of soft computing is more effective in dealing with daily problems, while reducing costs, it also solves the problem of robustness and becomes easier to handle. Examples of this include collecting data on video data from smart sensors and can use that information to predict and monitor the behavior of crowd. Nowadays, with the development of cyber–physical systems and artificial intelligence, the traditional data collection and analysis system faces the risks of low transparency and high data security, making it difficult to obtain an accurate prediction result. Therefore, in this paper a novel prediction machine via self-learning generative adversarial network for soft computing application is proposed, which collects data through a series of high-precision IoT sensor devices and makes preliminary preprocessing, and further solves the crowd prediction problem based on deep learning algorithms and obtains a reliable and accurate prediction result by continuously optimizing internal parameters. The focus of this work is on the accuracy and preprocessing of data collection and crowd prediction algorithms. The prediction algorithm can be used to estimate and monitor the crowd flow in public places, and can prevent crowding, trampling and other traffic jams, such as stations, airports, large exhibitions, tourist attractions and other places. Therefore, the new prediction machine includes video capture, upload and display, data analysis and early warning operations in embedded devices, and automatically predicts crowd density. In terms of constructing the network, first, in order to obtain a clearer generated density map, the feature self-learning module is merged in the generator feature extraction stage. Secondly, in order to avoid the blur of the generated image, an adversarial loss is constructed between the generator and the discriminator, and finally to deal with multiple scales, two generator networks are constructed to adapt to large scale and small scale respectively in order to extract semantic information of different scales and use cross-scale consistency loss constraints to generate density maps.
Evolution of hybrid distance based kNN classification

&lt;span id="docs-internal-guid-b63d466d-7fff-f94f-7540-9cb92d7bb505"&gt;&lt;span&gt;The evolution of classification of opinion mining and user review analysis span from decades reaching into ubiquitous computing in efforts such as movie review analysis. The performance of linear and non-linear models are discussed to classify the positive and negative reviews of movie data sets. The effectiveness of linear and non-linear algorithms are tested and compared in-terms of average accuracy. The performance of various algorithms is tested by implementing them on internet movie data base (IMDB). The hybrid kNN model optimizes the performance classification interns of accuracy. The accuracy of polarity prediction rate is improved with random-distance-weighted-kNN-ABC when compared with kNN algorithm applied alone.&lt;/span&gt;&lt;/span&gt;
CRITERIA OF EFFICIENCY OF HIGHER EDUCATION TEACHERS (US AND GREAT BRITAIN EXPERIENCE)

The article deals with the work efficiency issue of a higher education teacher. The author analyzes the main criteria for determining the efficiency of a higher education teacher in the US and Great Britain. It is established that a significant amount of research on the effectiveness of teachers’ work is associated with a study of the validity of determining the rating of teachers among students. It was determined that the student rating of teachers is highly correlated with the personal qualities of the teacher, student achievement, student rating and assessment of teachers by the same students after a few years. The author emphasizes that it is impossible to evaluate teaching objectively, based on one source of information. American scientists identify the so-called triad of sources for the effective evaluation of higher education teachers: students, colleagues, and self-evaluation.
PENGEMBANGAN PERMAINAN LUDO KING OF ACCOUNTING (DOTING) SEBAGAI MEDIA PENGAYAAN PADA MATERI JURNAL KHUSUS PERUSAHAAN DAGANG

This research was conducted with the aim of analyzing the development process and analyzing the feasibility of the ludo king of accounting game which was developed as an enrichment media in special journal material for trading company class XI Accounting in SMK Negeri 1 Sooko Mojokerto. The development model in this study is the ADDIE model which includes the Analyze, Design, Development, Implementation, and Evaluation stages. However, the implementation and evaluation stages in the ADDIE development model were not carried out due to certain conditions and time constraints. The test subjects in the research are material experts and media experts. The instrument used for data collection in the form of a study sheet in the form of an open questionnaire and a sheet of validasi in the form of a closed questionnaire. The method used to analyze data from study sheets and validation of material and media was carried out in a quantitative descriptive manner based on a Likert scale. The results obtained in the form of the feasibility of the material which shows the average percentage of material validation results of 87,71% with a very decent category and the percentage of results of the media validation of 88% with a very decent category. Thus, the game of ludo king of accounting is declared to be very suitable to be used as enrichment media in special journal material for trading companies of class XI Accounting. Keywords : Enrichment Media, Ludo King of Accounting Game, ADDIE Development Model .
Random forest based pseudorandom sequences classification algorithm

Recently, the number of confidential data leaks caused by internal violators has increased. Since modern DLP-systems cannot detect and prevent information leakage channels in encrypted or compressed form, an algorithm was proposed to classify pseudo-random sequences formed by data encryption and compression algorithms. Algorithm for constructing a random forest was used. An array of the frequency of occurrence of binary subsequences of 9-bit length and statistical characteristics of the byte distribution of sequences was chosen as the feature space. The presented algorithm showed the accuracy of 0,99 for classification of pseudorandom sequences. The proposed algorithm will improve the existing DLP-systems by increasing the accuracy of classification of encrypted and compressed data.
Comparison of Security Signing Data Authentication Integrity in Combination of Digest And AES Message Algorithm

Online information systems with the Single Sign-On (SSO) model are currently widely used by many companies. Single Sign-On (SSO) is an independent authentication model. This system runs on the Hypertext Transfer Protocol (HTTP) protocol. Sending data or information without security is at risk of eavesdropping on information by the authorities. This study aims to compare the combination of Message-Digest and Advanced Encryption Standard (AES) algorithms to improve data security by modifying dynamic keys. The test results show that in each execution the user name and password with the MD5 algorithm are always the same while in the AES algorithm the results are always different so it is safe from replay attacks. So that the Advanced Encryption Standard (AES) algorithm can secure data through the Single-Sign-On authentication process with high-security accuracy.
Minimal codewords arising from the incidence of points and hyperplanes in projective spaces

Over the past few years, the codes Cn-1(n, q) arising from the incidence of points and hyperplanes in the projective space PG(n, q) attracted a lot of attention.In particular, small weight codewords of Cn-1(n, q) are a topic of investigation.The main result of this work states that, if q is large enough and not prime, a codeword having weight smaller than roughly 1 2 n-2 q n-1 √ q can be written as a linear combination of a few hyperplanes.Consequently, we use this result to provide a graph-theoretical sufficient condition for these codewords of small weight to be minimal.
EFL Students’ Perception of Distance Learning Practice in a Vocabulary Class

The perception of English as a Foreign Language (EFL) students toward the significance of distance learning practice in EFL teaching at university is essential to provide suggestions for enhancing distance learning practice in the context of EFL teaching. Therefore, the purpose of this study was to investigate students’ perception towards distance learning practice at University of Muhammadiyah Gresik, especially in Words in Contexts class as the main course for learning vocabularies. Therefore, this study explored several aspects that needed in the implementation of distance learning practice. The subjects of this study were 34 first semester students of English education department who had applied distance learning practice. Questionnaire was used as research instrument to collect data from the respondents who had been selected. In addition, interview was also conducted to confirm the result of questionnaire. After the data were collected, they were analyzed using quantitative and qualitative analysis method. The finding indicated that students had average perception towards the implementation of distance learning practice, since distance learning practice provided advantages for their learning process. However, there were setbacks and problems such as students’ participation, internet connectivity, and material clarity that needed to be solved in order to improve the quality of distance learning practice.
Qos Web Service Design Based on Collaborative Filtering

In the process of web service recommendation, the prediction accuracy of Web Service missing Quality of Service (QoS) value will have an important impact on the rationality of service recommendation. Therefore, combined with spatiotemporal similarity perception, this paper proposes a new web service QoS collaborative filtering recommendation algorithm. This paper designs the framework of web service recommendation system from the perspective of QoS collaborative prediction, and gives the definition of related parameter set. Aiming at the problem that some services in the traditional Top-k algorithm are not similar to the target services, the spatial-temporal similarity perception combined with similar weight is used to predict the missing data to improve the prediction accuracy. In this paper, the calculation process of the algorithm is given through a simple example. The effectiveness of the algorithm is verified by the experimental results.
Analisis kebutuhan SI dengan pendekatan value chain

SMK (Vocational High School) Negeri 5 Mataram is a school based on arts and culture. This school has some Information System (IS) that applied to the educational system, e.g, electronic report features of learning result (E-Rapor) and website.&#x0D; In its implementation, the IS was unable to support schools to provide the newest information due to the large amounts of data management, the data waos changed routinely and repetitive, it often created difficulties to provide information, especially because of the academic data activity is still using a manual processing system.&#x0D; Based on those problems above, the needs analysis of IS was conducted using value chain method. This method used to construct and formulates some strategies that possible to apply. The result, there were seven new application portfolios, i.e PSB Online, Financial Apps, Inventory Apps, E-Locker, E-Library, E-Learning, and Academic Information System. And two applications had improved, School Website and E-Report.