Reviewerly/exHarmony huggingface dataset:
A Study on the Self-repair in Chinese Learners’ Korean Speech-focused on the analysis of the characteristics and its causes-

This study aims to analyze the characteristics and its causes of self-repair in Chinese learners’ Korean speech. For this purpose, 15 Chinese advanced learners and 15 Korean native speakers were took as the research subjects. Through the comparative analysis of their conversation materials, the characteristics of self-repair in learners’ speech were summarized into five points as follows. First, by tape, it mainly focused on the covert repair. Second, by strategy, long pauses and meaningless editing terms frequently appeared. Third, by structure, most repair includes the editing phase. Fourth, by location, the proportion of repairs occurring within word segments is significant. Fifth, by result, although native speakers can detect and repair most of the targets to be repaired successfully, learners can only repair a limited number of targets and often fail. These characteristics may have a negative impact on the fluency of speech, causing the speech to sound intermittent or long and cumbersome. Next, based on the results of interview with Chinese learners, the causes of learners’ self-repair characteristics were classified into learners’ insufficient language ability, translational speaking habits, a lack of awareness of self-repair and psychological factors such as negative attitude toward repair and excessive tension when using a foreign language. (Seoul National University)
A Contrastive Study of Engagement in Korean and Chinese Political Editorials

This study aims to suggest the educational implication of Korean Engagement though contrasting the engagement reflected in Chinese and Korean editorials. In order to do this, 100 editorials (Korean editorials 50, Chinese editorials 50) were selected from The Chosun Ilbo, The JoongAng Ilbo, The Dong-A Daily News and People’s Daily, Guang Ming Daily which are the representative and authoritative newspapers in Korea and as well as in China. We extracted the engagement and did a t-text. As a result, the total of monogloss and heterogloss didn’t have a statistically significant differences in both Korean and Chinese editorials had used more heterogloss than monogloss. In the case of dialogic expansion, the use of entertain, attribution, acknowledge, distance and the total of dialogic expansion showed a statistically significant difference. Descriptive statistics showed that Korean newspaper editorials used more entertain, attribution, acknowledge, distance than Chinese newspaper editorials. In the case of dialogic contraction it was found that the use of disclaim, deny, counter, proclaim, pronounce and the total of dialogic contraction had a statistically significant difference but except the concur and endorsement. Descriptive statistics showed that the Korean editorials used more disclaim, deny, counter than Chinese editorials, however Chinese editorials used more proclaim, pronounce than Korean editorials. This is related to the genre characteristics of Chinese and Korean argumentative writings and that of the newspapers. Based on the above discussion, educational implications were presented in terms of subjects, textbooks, and educational content. (Dalian University of Foreign Languages)
US Second Circuit affirms that 50 Cent’s publicity rights claim regarding Rick Ross’ In da Club remix is preempted by US copyright law

Re Jackson 19-480, 2020 WL 4810706 (2nd Circuit, 19 August 2020) The Second Circuit Court of Appeals has held that 50 Cent’s state common law publicity rights claim against Rick Ross regarding a remix using his stage name and voice is preempted by the federal Copyright Act. US federal law does not provide for publicity rights; rather, various formulations of publicity rights are granted by statute or common law in each of the US states. In contrast, copyright law is regulated exclusively by federal law in the United States. US copyright law does not provide for a generalized protection of author’s moral rights—independent from the author’s economic rights—to object to derogatory distortions, mutilations or modifications of a given work. Under the US system of federalism, the Supremacy Clause of the US Constitution provides that federal laws preempt state laws, rendering state laws that conflict with federal laws ineffective. Congress may affect preemption by indicating an intent to preempt, either explicitly by statute or implicitly through direct conflict with a state law or by occupying the field of regulation through federal legislation.
MODULAR TRAINING IN AN ELECTRONIC ENVIRONMENT INFORMATION AND EDUCATIONAL ENVIRONMENT OF EDUCATION

The article is devoted to the use of modular training in the electronic information and educational environment of education. Methodological approaches to the use of modular technology and the effectiveness of training with modular technology in education are considered.
Organization of Students’ Work with Sources on the History of Native Land During the Training of a History Teacher

The article is written on a relevant topic, about the training of students in the direction of “Pedagogical education (with two training profiles)” profile “History-Social Studies” for local history research at school. The research is based on the competence-based approach, taking into account the system-activity approach to the organization of training. Considerable attention is paid to the formation of source study knowledge by organizing work with such sources on the history of the native land as chronicles, sources of personal origin and fiction during the teaching of the discipline “Local history at school”. One of its parts, laying down basic knowledge and skills, is the section “Sources and historiography of the study of the region history”, consisting of a series of lectures and practical exercises. The authors presented the methods of organizing the educational activities of students with local history literature: compiling chronological tables, biographical and bibliographic dictionaries, annotated lists, note-taking skills of scientific publications, developing excursion routes, quizzes, project implementation, etc. Methodological techniques for the formation of the corresponding skills and abilities of students are demonstrated on the example of the topic “Civil War in Russia”. It is concluded that such a multifaceted theoretical and practical work with sources on the history of the native land contributes to the formation of professional competencies of the future history teacher, prepares him for local history work and the organization of local history research at school.
A scalable parallel algorithm for building web directories

Summary Web directories like Wikipedia and Open Directory Mozilla facilitate efficient information retrieval (IR) of web documents from a huge web corpus. Maintenance of these web directories is understandably a difficult task that requires manual curation by human editors or semi‐automated mechanisms. Research on parallel algorithms for the automated curation of these web directories will be beneficial to the IR domain. Hence, in this article, we propose a parallel algorithm for automatically creating web directories from a corpus of web‐documents. We have used centrality‐based techniques to split the corpus into fine‐grained clusters and subsequently an agglomeration based on locality sensitive hashing to identify coarse‐grained clusters in the web‐directory. Experimental results show that the algorithm generates meaningful hierarchies of the input corpus as measured by cluster‐validity indices, like F‐measure, rand index, and cluster purity. The algorithm achieves a significant speedup and scales well both with the number of processors and the size of the input corpus.
Multilingual text normalization for computer‐based detection of Alzheimer’s disease

Abstract Background Understanding how Alzheimer’s Disease affects linguistic functions could improve early detection of the disease, since many studies have demonstrated that language alterations can appear at an early stage. In order to measure those functions, we process and analyze transcripts from multiple corpora based on the Cookie‐Theft picture description task. Text normalization plays a big role when it comes to creating a solid dataset from a heterogeneous corpus of patients’ interviews. Current tools for this type of task are limited and tend to be language and context dependant. Method This paper presents a simple and efficient method to process textual data in a pipeline architecture, sequencing sub‐problems of cleaning and normalization tasks. Since some of them are language and context dependant, they were made easily configurable, increasing scalability when dealing with new corpora. Then, multiple measures are extracted while cleaning transcripts, as it also contains valuable information, like the number of repetitions or incomplete words removed. Result Results show that we are able to improve performance on this time consuming task when working with a multilingual dataset compared to previous studies. In fact, we were able to normalize a French and English Cookie‐Theft corpus easily. Given the great diversity of languages and related structures, this method therefore has certain limitations. Moreover, our findings have shown great potential in cleaning and normalizing measures extracted for detecting Alzheimer’s disease. For instance, the number of retracings removed from transcripts revealed a significant correlation (&gt; 0.5) with the severity of cognitive impairment. Conclusion Thus, this paper contributes to Alzheimer’s disease literature by presenting an efficient tool which allows to speed up the cleaning and normalization process of transcripts. Furthermore, extracted measures from this task could improve results when training for a predictive model in AD detection, since it captures some metrics highly correlated with the patient’s mental health status. Finally, this tool could eventually be used for different types of description tasks since it is not dependant of the context.
Development of Android Application “Medical Information Guide”,

Before starting to make this project “Medical Information Guide” we did a deep study andresearch about its background. After complete the research we find out many medicalrelated application and website. They solved small part of medical problem but they didnot give a overall solution of medical problems. Some applications are:“Bd Health Solution, Bd Doctor Assistant, E-Medicare, Medicare Plus”. So, we wants tomake proper solution medical problem.
On Topical Issues of Training Modern Creative Teacher of Preschool Educational Institution

This article discusses the specific pedagogical and psychological features of the preparation of future preschool education professionals for innovative occupational activities. The semantic aspects characterizing the process of creativity in the work of a teacher, as well as the criteria that characterize this process, are highlighted. It also outlines the issues of pedagogical practice, advanced experiences and cooperation with parents to prepare future preschool education professionals for innovative career.
Reflection in the Professional Development of Future Psychologist

The article discusses the problem of professional formation of future psychologists. Reflection is considered from various scientific and theoretical approaches, taking into account the definition and understanding. When studying the phenomenology of reflection, it becomes possible in its scientific validity as an intrapersonal, personality-oriented and professional-personal approach in the professional formation of future psychologists. Intrapersonal, personality-oriented and professional-personal in reflection in a university creates stability and success in choosing a profession, prospects for its development and congruence of future psychologists in their professional development.
Sistem Drainase Berwawasan Lingkungan Dengan Konsep Lubang Resapan Biopori Pada Era Pandemi Covid-19

This Community Partnership Program (PKM) partner is a teacher at Madrasah Tsanawiyah Pangkep, Pangke Regency. The problem is the environment of the Pangkep Tsanawiyah Madrasah School which has poor environmental drainage and lack of rainwater catchment areas. Therefore, these school teachers need to be equipped with knowledge on how to make water infiltration in a simple way, namely with the concept of Biopore Absorption Holes (LRB). The methods to be used are mentoring methods and participatory rural approach (PRA) methods. The mentoring method is carried out to increase the understanding of school teachers in dealing with environmental drainage, increasing understanding of cleanliness. The PRA method is carried out to generate a sense of belonging to partners for the products to be developed, and a sense of responsibility of partners towards the products and the environment around them. The main methods used in the Community Partnership Program (PKM) activities are lectures, discussions, questions and answers, and simulations. The results achieved are that the LRB can cope with flooding, as a disposal of organic waste, as fertilizer for plants because the organic waste stored in the LRB will turn into compost, and can be used as additional water absorption in the surrounding environment where there are more biopore holes. There are also more water catchment holes in the environment that can help absorb rainwater
PROBABILITY DISTRIBUTION OF THE LARGEST SEISMIC SIGNAL OF A RANDOM NUMBER OF SIGNALS

The paper proposes a probability distribution for the largest seismic signal where the signals are assumed to obey a beta distribution and the number of signals is also assumed random. It is shown that the 7-year hourly seismic recordings for the Caraga region in the Philippines obey a beta distribution with parameters q and r estimated from the data. The probability distribution of the largest seismic signal exceeding a certain magnitude is constructed and is applied to the setting. Results reveal that approximately 236 of the largest seismic signals in the Caraga region will exceed magnitude 6 in any given year.
Application and Storage-Aware Data Placement and Job Scheduling for Hadoop Clusters

As one of the most popular frameworks for large-scale analytics processing, Hadoop is facing two challenges: both applications and storage devices become heterogeneous. However, existing data placement and job scheduling schemes pay little attention to such heterogeneity of either application I/O requirements or I/O device capability, thus can greatly degrade system efficiencies. In this paper, we propose ASPS, an Application and Storage-aware data Placement and job Scheduling approach for Hadoop clusters. The idea is to place application data and schedule application tasks considering both application I/O requirements and storage device characteristics. Specifically, ASPS first introduces novel metrics to quantify I/O requirements of applications. Then, based on the quantification, ASPS places data of different applications to the preferred storage devices. Finally, ASPS tries to launch jobs with high I/O requirements on the nodes with the same type of faster devices to improve system efficiency. We have implemented ASPS in Hadoop framework. Experimental results show that ASPS can reduce the completion time of a single application by up to 36% and the average completion time of six concurrent applications by 27%, compared to existing data placement policies and job scheduling approaches.
K-NN Method for Review Analys Product Accounting Software

Many companies have not implemented accounting software in financial management. Even though the current era of technology is increasingly updated and developing, more and more superior products are being issued by software development companies, especially in accounting software. There are not a few software products whose quality is still below standard or incomplete with features and facilities. So that researchers concentrate on companies or individual businesses that still use manual methods in processing their finances by helping and making it easier to choose the software product they will choose. Researchers first carry out the accounting software product selection stage based on an opinion or opinion of the public who have bought and used the software they choose and they pour this opinion into online media such as comments on a product selling site. Thousands of comments will be processed and grouped into data sets and this time the researcher processes the data classification using the k-Nearest Neighbor (K-NN) algorithm. By using the K-NN method, it is expected to be able to produce the expected accuracy value so that the data set processing is stronger and more valid. It turns out that after applying the data accuracy value obtained by 80.50%, it can be concluded that the K-NN method is very suitable for the concept of text mining this time and for selecting the data set in the form of text.
Penerapan Algoritma CAST-128 pada Proses Enkripsi Dan Dekripsi Teks

Encoding was first made using a classic algorithm. This algorithm builds its security on the confidentiality of the algorithm used. However, this algorithm is inefficient when used to communicate with many people because the algorithm is still very simple and still very easy to solve, so important information or data that you want to keep secret can be easily discovered by other people or people who are not responsible. CAST-128 is a cryptographic algorithm that is said to be similar to the DES algorithm which uses 16 rounds of feistel network as one of its strengths. Where in the process of encryption and decryption of text CAST-128 uses a 64-bit block length and key lengths of up to 128 bits. For information, the CAST-128 algorithm is referred to as one of the strong cryptographic algorithms against various types of cryptanalysis, including differential and linear attacks. With the application of the CAST-128 algorithm in the process of encrypting and decrypting text, it will be more difficult to decode text encoded by people who do not know the key so as to create more security than the encoded text. So when the text wants to be sent or transferred to the flashdisk will be more confidential.
TEXT CLUSTERING FOR REDUCING SEMANTIC INFORMATION IN MALAY SEMANTIC REPRESENTATION

The generation of texts are dramatically increased in this era. A text basically consists of structured and unstructured texts. The enormous amount of unstructured texts can be easily perceived by humans, unfortunately cannot be simply processed by computer. It needs efficient techniques to reduce the information into more valuable vectors. In this article, we introduce text clustering method using Malay linguistic information to reduce the unstructured semantic information derived from Wikipedia Bahasa Melayu’s articles. The proposed method uses the linguistic features in Malay language to cater the morphological issues of Malay words. We have incorporated semantic information from semantic lexical resource for Malay, which called Wikipedia Bahasa Melayu (WikiBM). Then, an experiment was conducted to evaluate the effects of text clustering to the semantic similarity value using gloss definition of WikiBM’s article. We used Jaccard similarity to calculate the overlaps vectors from the text of WikiBM. Then, the correlation was computed using Pearson’s correlation. The score between original text definition was compared to the new text definition using text clustering method. From the experiment, we can conclude that the correlation value was increased after the semantic information was reduced to more valuable vectors using text clustering method (from 0.39 to 0.43).
Obtaining handwriting samples

Although the actual process of obtaining requested handwriting samples has not changed significantly, what has changed is the collection of nonrequest or business writings. Most of these writings are going to be facsimile copies, and it is essential that both the forensic document examiner and the investigator understand the need for usable copies of these writings. In some situations, it is not possible to conduct a meaningful examination and comparison of a copy. This chapter examines the whole process of obtaining handwriting samples for comparison purposes. Also provided are possible sources of documents that may be usable.
Slovene translation of SuperGLUE

SuperGLUE is a benchmark styled after GLUE with a new set of more difficult language understanding tasks, improved resources, and a public leaderboard. It is comprised of 8 corpora (BoolQ, CB, COPA, MultiRC, ReCoRD, RTE, WiC, WSC), which cover 4 different types of tasks (QA, NLI, WSD, coref.). Slovene translation of SuperGLUE consists of machine and human translations of the benchmark. BoolQ, CB, COPA, MultiRC, and RTE are completely translated by the Google Machine Translation service. Human translators translated COPA and WSC completely, and BoolQ, CB, MultiRC, ReCoRD, and RTE in different ratios. Slovene translation of SuperGLUE is provided in three different file formats: jsonl, csv, and txt.
The significance of situation awareness theory for freeway risk analysis

The primary objective of this research is to clarify its guiding significance for freeway risk analysis based on the comprehension of situational awareness (SA) theory, and to provide a theoretical basis for determining freeway risk factors and building a risk warning system in the future. The theory of situational awareness is originated in the military field and later has been widely applied in the field of network security. Situation awareness theory includes three stages: perception of environmental factors, understanding of the current state, and prediction of the future state, which will be applied to deeply analyze freeway risk problems and promote active traffic management.
Estilos de aprendizaje en estudiantes de ingeniería de sistemas en la Universidad Nacional del Centro del Perú

La educacion en su conjunto, y la universitaria en particular, merecen gestionarse desde una perspectiva integral, es decir conjugando todos los aspectos que aseguren el logro de la calidad educativa, entre ellas el aprendizaje. En este sentido, el objetivo del presente trabajo es conocer los estilos de aprendizaje (EA) en estudiantes de Ingenieria de Sistemas de la Universidad Nacional del Centro del Peru (UNCP), en una ciudad altoandina del Peru (Huancayo, 3271 msnm). Se aplico el cuestionario de Programacion Neurolinguistica (PNL) del modelo VAK (visual-auditivo-kinestesico) en 330 estudiantes (78 mujeres y 252 varones) en los 10 semestres del periodo academico 2020-I. El estilo predominante fue el visual con 41% (135) estudiantes, registrandose diferencia significativa en los EA por semestres (p0.05). El estilo predominante de la carrera corresponde con el perfil profesional, ello debe tenerse en cuenta por los docentes en la ensenanza.Palabras clave: Estilos de aprendizaje, VAK, programacion neurolinguistica, pensamiento sistemico en la educacion. ABSTRACTEducation as a whole, and university education in particular, deserves to be managed from a comprehensive perspective, that is, by combining efforts to ensure the achievement of educational quality, including learning. In this sense, the aim of the present work is to know the learning styles (LS) in students of Systems Engineering of the University National of center of Peru (UNCP), in a high Andean city (Huancayo, 3259 masl). The Neurolinguistic Programming (NLP) questionnaire of the VAK model (visual-auditory-kinaesthetic) was applied to 330 students (78 women and 252 men) in the 10 semesters of the 2020-I academic period. The predominant style was the visual one with 41% (135) students, registering significant difference in the LS by semesters (p0.05). The predominant style of the career corresponds to the professional profile, which should be taken into account by the teachers in the teaching.Keywords: Learning styles, VAK, neurolinguistic programming, systems thinking in education.