Reviewerly/exHarmony huggingface dataset:
STUDENTS’ SELF-REGULATED LEARNING IN LEARNING WRITING

The aims of this study were to describe how the students implement their self-regulated learning in learning writing and to explain the reason why they do it as the way they do. A descriptive qualitative design was used in this study. The data and source of data were students’ activities of self-regulated learning in learning writing of Grade XII Culinary SMK Telkom 2 Medan. The data were collected by using questionnaire and interview. The data were analyzed by using descriptive qualitative. The results showed that (1) Most of the students did self-regulated learning activities with the level of frequency of use sometimes namely goal-setting (93%), environmental structuring (40%), self-evaluation (70.5%), task-strategies (40%), help-seeking (83.3%), and time management (50%). (2) The reasons why the students did self-regulated learning in learning writing as they do were: 1) Goal-setting (personal factor), 2) Environmental structuring (environmental factor), 3) Self-evaluation (behavior factor), 4) Task-strategies (personal factor), 5) Help-seeking (personal factor), and 6) Time management (personal factor).
Subject Research, Course Guides, Documentation: Universal Access to Library Resources: Single page guide

how the library provides access to subscription content that is hosted remotely. Single page guide
An Analysis of Deep Learning Architectures for Cancer Diagnosis

It was analyzed the reference information on Deep Learning applications in the areas of diagnosis and prediction of different types of cancer. The problem is to perform the analysis and obtain the criteria to select a Deep Learning architecture for cancer diagnosis. The objective is to carry out an analysis of Deep Learning architectures and select a model to apply training and tests that assist in the diagnosis of cancer. It was used as a method the exploratory research and deduction to analyze the reference information on Deep Learning theories and architectures applied in cancer diagnosis; it also describes the reasons for selecting a model, scope, proposal, configuration parameters and structure for a CNN network. It resulted in the Impact of Deep Learning in cancer diagnosis, Training the CNN network, and Testing the CNN network. It was concluded that the 9-layer CNN Simple model used for training and testing on a data set of 8801 breast cancer images, has good properties and generates quantitative results for image classification; in the adopted model, a precision rate was obtained on the data set that reached 85.67% in training and 85.87% in tests; the quality of the model in classification tasks is 86%; this indicates the good stability and efficiency of the model.
THEORETICAL FOUNDATIONS OF THE FORMATION OF RESEARCH CULTURE OF TEACHERS IN HIGHER EDUCATION INSTITUTIONS

This article presents the modernization of the educational space aimed at self-development of the student, the formation of the research culture of the future teacher-educator at the University. Fundamental changes and innovations in the field of education require great responsibility from teachers. Formation of new approaches to the formation of students ' readiness for research activities. Today, we need a preschool teacher who is able to be active in innovative processes, to study the individual characteristics, capabilities, abilities of the child and, on this basis, to design and organize the educational process in a preschool educational institution. Summing up, the pedagogical conditions that ensure the successful implementation of the model of formation of students ' readiness for research activities in the preschool education system were identified and analyzed. In the course of the study, it was found that for the successful implementation of research activities, a combination of cognitive, professional and value-based, personal and socially significant motives is necessary.
Stay in tune with a sonic miracle [Sound - Guitar Strings]

WITH 2.5 MILLION UNITS sold annually in the US, and the UK pitching in with an extra 750,000, guitars are a billion-dollar business. Which means that the strings that go on them are big business too. If every new American and British six-string had their strings changed at the recommended frequency of once per month, they would in their first year alone consume sufficient length of metal wire to reach the 384,400km it takes to get to the Moon.
일본 근대 초기 조선어 문법서의 두 지향 - 일본인 저술의 『한어통(韓語通)』(1909)과 『한어문전(韓語文典)』(1909)을 중심으로 -

The purpose of this paper is to examine the characteristics and writing direction of Korean grammar books published in Japan in the early modern period, this will be done through a comparison of Haneotong(󰡔韓語通󰡕, 1909) and Haneomunjeon(󰡔韓語文典󰡕, 1909). This will be achieved by examining Korean󰠏related documents written by the Japanese after the publication of Haneoipmun(󰡔韓語入門󰡕) in 1880. This is done by comparing and analyzing the purpose of the compilation of the two texts (while noting the distinct character of the grammar books), in addition we look at the structure of the documents, and the diversity of Korean grammar descriptions which were all compared and analyzed. Unlike the authors of other workbooks and conversation books in the early modern period, the two researchers who had a high knowledge of Korean were the author of Haneotong(󰡔韓語通󰡕), Maema Kyosaku, and the author of Haneomunjeon(󰡔韓語文典󰡕, Takahashi Doru. The orientation of these grammar books was not seen as a description for practical purposes. Rather, the knowledge of the Korean language that was acquired by the two researchers was embodied in their writing qualities and can be viewed as a compilation centered on Korean grammar. Unlike other Korean language books of this period, these books were filled with insightful grammar descriptions. The linguistic characteristics of the Korean language were incorporated into the grammar books through the phonology and the history of the Korean language. Since these two scholars' writings have influenced Korean linguists after the post󰠏 Japanese colonial period, we emphasize that Korean linguists have been greatly helped in describing and organizing their grammar.
An Exploration of Crime Type and Prediction Using RALASD Feature Selection Algorithm with Deep Learning Technique

In daily life, there is an enormous number of crimes that are frequently committed. The crime tracking and maintaining crime dataset is a challenging.Prediction of crime is an administration of regulation in the society by analyzing the statistical by using the data employed from a source. The source of data is used for the analysis of the crime patterns and crime rates in the particular region using data mining and deep learning techniques. The key objective of this work is to analyze the crime activities based on the information set using data mining techniques and predicting the crime rates using deep learning techniques. The work employs the crime dataset with various crime types occurs in the various region for the analysis. The analysis of the crime dataset includes pre-processing steps to construct a crime profile for the prediction. The pre-processing steps include removal of missing values and duplicate information from the dataset and finally convert the dataset into an encoded format for further identification. Then the encoded format of the dataset is employed in the selection phase for the attribute selection using feature selection strategy to reduce and select significant crime variables for the prediction. Finally, the crime prediction process is performed with the deep learning strategy. The prediction of the crime types is performed with the selected subset of the crime variables to increase the prediction accuracy.
대학생의 그릿 군집 유형에 따른 성격 5요인, 학업적응 및 심리적 안녕감의 차이

Objects: The purpose of this study was to examine the differences of college students’ big-five personality factors, academic adaptation, and psychological well-being according to cluster types based on the grit. Methods: The participants of this study were 190 college students. All variables were evaluated by self-report of college students. The data were analyzed by one-way ANOVA and two-step clustering statistics using SPSS 21.0. Results: First, a cluster analysis on a sample of 190 college students revealed four clusters: the more highly grit group, higher tenacity group, higher consistency of interests, and the less grit group. Second, there were significant differences of 190 college students’ big five personality factors, academic adaptation, and psychological well-being according to cluster types based on the grit. Conclusions: These findings can be used as an important contribution to further research and educational practices for promoting the grit in college students. Also it suggests the need for health education to increase the psychological well-being of college students.
Studi Literature: Pembelajaran Online (Daring) Dengan Pemanfatan Teknologi Di Tengah Pandemic COVID-19

During the Covid-19 pandemic, learning carried out in elementary schools used online or distance learning with parental guidance. Many students are limited in the facilities they have to support the online learning process. This study uses a literature review method. Literature review is an orderly, straightforward and validated method for identifying, evaluating and synthesizing research results and thoughts that have been produced by researchers and practitioners. Online learning is a solution to keep learning in the midst of a pandemic.
Servant Leadership and Their Impact in Organizational Immune System: Analytical Research

This research aims to know the impact of the servant leadership in the organizational immune system in the Ministry of Planning, as the analytical approach was adopted in carrying out this research, and the research community included the administrative leaderships of the Ministry of Planning in the city of Baghdad, while the research sample was (Director general and his assistants, Department head, Division official ) as an intentional sample for the research community in (Ministry Center, Central Statistical Organization, Central Organization for Standardization and Control and Administrative Development Center) and the comprehensive inventory, as the researcher distributed (220) questionnaires, and then collected data from (172) respondents from the community researched by accreditation The questionnaire, which included (47) items And provide them with personal interviews and field observations as tools to help strengthen them. The research adopted the program (Amos V.23, SPSS V.23) by adopting appropriate statistical methods. The results showed the validity of the correlation and influence relationships at the level of the main and sub-research variables, indicating the essential role of servant leadership in influencing the organizational immune system in the Ministry of Planning.
A Hardware-aware Heuristic for the Qubit Mapping Problem in the NISQ Era

Due to several physical limitations in the realization of quantum hardware, today's quantum computers are qualified as noisy intermediate-scale quantum (NISQ) hardware. NISQ hardware is characterized by a small number of qubits (50 to a few hundred) and noisy operations. Moreover, current realizations of superconducting quantum chips do not have the ideal all-to-all connectivity between qubits but rather at most a nearest-neighbor connectivity. All these hardware restrictions add supplementary low-level requirements. They need to be addressed before submitting the quantum circuit to an actual chip. Satisfying these requirements is a tedious task for the programmer. Instead, the task of adapting the quantum circuit to a given hardware is left to the compiler. In this article, we propose a hardware-aware (HA) mapping transition algorithm that takes the calibration data into account with the aim to improve the overall fidelity of the circuit. Evaluation results on IBM quantum hardware show that our HA approach can outperform the state of the art, both in terms of the number of additional gates and circuit fidelity.
韩国留学生“对”字句习得偏误分析及其教学设计

Based on the basic sentence pattern “NP1 + Dui + NP2 + VP / AP” of “对”, this paper studies the influence of four senses of Preposition “对” on the choice of words and phrases of sentence components “NP1, NP2, VP, AP”. It has been proved that there are various characteristics of “NP, VP, AP” involved in the components of “对” sentences, which have not been paid attention to in the past teaching Chinese as a foreign language. Korean students do not know these differences, which leads to the output of wrong sentences. Through the further study of the Semantic Connotation of “对” sentences, we find that “对” sentences follow the principles of “semantic consistency” and “life hierarchy”. Using these two principles, Korean students can monitor their language output and reduce the occurrence of wrong sentences when they output “对” sentences. The high usage rate of “对” sentences among Chinese native speakers and foreign students not only explains the importance of “对” sentences, but also reminds us of the need to explore more scientific and reasonable “对” sentences. The existing researches on the errors of “对” sentences not only focus on the preposition “对”, but also simply sum up the types of errors as “omission, addition by mistake, mix / misuse and wrong order”, which do not completely solve the problems of “对” sentences. On the basis of the existing research results, the author uses the real corpus of Korean students to investigate the wrong types of “对” sentences in detail, which makes the relationship between the characteristics of “对” sentences and the causes of errors clearer.
RANCANG BANGUN SISTEM APLIKASI PENITIPAN HEWAN BERBASIS ANDROID

Information access is made easier by using smartphones rather than website technology, because users can carry it while doing other activities. Now online stores and social media have been widely used by people to sell various types of goods, one of which is goods for pets. So now raising a pet is not just a hobby but it is one of the promising types of business but in the process of caring for animals, pet owners must spend a lot of time caring for their pets, but due to the many work activities sometimes pet owners do not have enough time to take care of the pet, so that the pet is sick due to not being cared for properly. In this research the method used is the waterfall method by using Unified Modeling Language (UML). Then this application is designed by using tools such as Android Studio and Mysql Database. This application was built with the purpose to facilitate customers in make a reservation for animal care and treatment care and provide adequate information to customers. This application is also managed by the admin in managing reservation data from customers, reservations received and others through smartphone.
조리·외식 전공 대학생의 진로개발이 자기효능감에 미치는 영향

The purpose of this study is to identify how the Career Development affects the self-efficacy of college students majoring in Culinary Art and Foodservice and the different effects between lower grade students and higher grade students in the college. As a result, the four(4) factors of Career development impacts positively on the self-efficacy of the students. The four factors for this research are self-knowledge, career plan, aquisition of career information and various experience. According to this study, the factors of Career Development impacts differently on various student grades. College freshman is positively effected in the factors of self-understanding, career plan and aquisition of career information. On the other hand, there was no effect on various experience. Meanwhile, after they are sophomore year, all four factors including various experience become positively effective. It is verified that the factor of various experience impacts only on the sophomore because of the extramural activities such as field study, internship, participation in competitive exhibition, volunteer work, etc. The study shows that career development of college student majoring in Culinary Art and Foodservice affectes differently according to student''s grades, so we need to make effort to develop a program stage by stage according to the different grades of students.
Decentralized Finance and Regulation: Enhancing the Role of Innovative Techniques Through Regulation

In enhancing the role of innovative techniques which involve the use of distributed ledger technology platforms, consequences or implications of such techniques could initially focus on more obvious risks – such as those risks associated with financial stability, inadequate governance and control mechanisms in place, or cybercrime. However, consideration of climate risk related factors have increasingly made the aim of focus towards a sustainable future, a more popular and increasingly justified topic. In a recent report by the European Environmental Agency, it was highlighted that “ in comparison with alternative payment methods, Bitcoin was claimed to be 20,000 times more energy intensive than Visa – with an energy consumption for each Bitcoin transaction increasing to 635 kWh – an equivalent of electricity that could power approximately 21 US households for 1 day, based on 2019 estimates according to some analysts.” However there are also potential benefits to be derived from blockchain technology - one of which includes environmental protection, as further highlighted in the report. Notwithstanding, efforts and endeavors will still be required to address climate related impacts of engaging the use of such technologies. This paper will focus on other risks – as well as benefits to be derived through the use of innovative techniques such as smart contracts and decentralized finance in a rapidly evolving financial landscape. It will also highlight why central bankers and financial regulation have to adapt and evolve rapidly in engaging the use of supervisory techniques which will not only enhance the efficiency of the use of such innovative techniques but also facilitate an adequate and well balanced approached to regulation – one which whilst not overly regulating technology, seeks to ensure that the abuse or misuse of such technologies are appropriately regulated.
Color Design Probes for School Environmental Color Design

This study explores the introduction and usefulness of color design probes as a method of conducting color design workshops with users who cannot meet on-site in a school situation where non-face-to-face remote classes are held due to Corona 19. The first step is to deliver the color design probe package to 12-18 probe participants in each school. The second step is to help users understand the work content by explaining the work content through communication suitable for the user environment, such as phone or text, so that the user can easily perform the color design probe work. The third step is to get in touch with the user at a mutually agreed time and help them get the job done. The contents of the color design probe in this study are as follows. 1. Expressing the feelings the user experiences in the school space. 2. Thinking about your daily life at school, and expressing your feelings according to your day-to-day routine. 3. The user
FRAUD AND FORENSIC ACCOUNTING IN THE DIGITAL ENVIRONMENT OF ACCOUNTING INFORMATION SYSTEMS: FOCUS ON THE HOTEL INDUSTRY

Accounting information systems in the digital environment show opportunities for fraudulent activities. Therefore, knowledge and investigation of fraudulent actions and forensic accounting are of great importance in order to avoid the potential loss of users or minimize them. This paper examines fraudulent actions and forensic accounting in the digital environment of accounting information systems. A descriptive method and a content analysis method were used in this paper to express the subject of the research through a more detailed elaboration of fraudulent activities and the importance of forensic accounting in the digital environment of accounting information systems. A particular focus and practical application of the implications of the paper is on the hotel industry. The research results offer more open-ended questions and opportunities to develop and upgrade this specific area, as always when it comes to frauds and forensic accounting.
On the Up-to-date Course of Mathematical Logic for the Future Math Teachers

All-round development of the everyday logic of students should be considered as one of the most important tasks of general secondary education on the whole and general secondary mathematics education in particular.We discuss the problem of organization in teachers' training institutions of higher education and the expedient training of the future math teachers at institutions of general secondary education.The main goal is to ensure their ability to realize all their future professional activities and the necessary participation in forming the everyday logic of their pupils.The authors think that vocational educational program of training is that the future secondary school math teachers must contain a separate course of mathematical logic including at least 90 training hours (3 credits ECTS).Although the content filling of the course cannot be irrespective of the general level of arrangement of mathematics education in the corresponding country, it ought to be a subject of discussion of the international mathematics community and managers in the sphere of higher mathematics education.Simultaneously, the role, the place, and the expedient structure of such a course in the corresponding training programs should be under discussion.The article represents the authors' point of view on the problems indicated above.The research has a qualitative characteristic as a whole.Only some of its conclusions have statistical corroboration.
Activity classification and analysis during sports training session using fuzzy model

Sport training is a sporting performance preparation phase that consists of four parts: Training in conditioning, technical Training, Training in attitude, Training in psychology. The challenging factor of the sports training session is the realization of approximate and uncertainty. The valued idea involves the definition of fuzzy sets and rules and membership functions to overcome the challenges. A fuzzy logical explanation enables successful ambiguous situations, which are complex, continuous, and more practical, closer to the real world and human thought. The concept, which is highly valued, includes defining fluids and rules and membership functions to test training exercises for strength. This paper proposed a Fuzzy, assisted artificial intelligence monitoring framework (FAAIMF) that evaluates all athletes’ behaviors in an outdoor training setting using wearable inertial sensors. Data obtained from sensor fitted machines, feedback, and proper implementation requirements are considered in the design. The Random Forest Classifier uses a Discreet Transform Wavelet (DWT) to effectively and accurately effectively and accurately id. Second, the relative orientation of the wearable inertial sensors on a shield and thigh of a material from which the knee angle of flexion-extension is determined. The proposed method in various non-constrained settings for the exact classification of sports activities and accurate movement techniques assessment.