Reviewerly/exHarmony huggingface dataset:
학습 교재와 문제 유형에 따른 한국인 학습자의 현대중국어 在의 습득 순서 연구

In the study of second language acquisition, examining the acquisition order of the learners' target language is critical to understanding their interlanguage characteristics. The order of ZAI by Korean learners was studied in this paper. First, the grammatical point of ZAI was divided into four parts: verbs, prepositions as adverbs, prepositions as complement, and adverbs. Next, the required Chinese sentences from the questions of the HSK Level 4 mock test were selected and adapted into three types: choice, judgement, and translation. The Korean learners were asked to answer the questions, and their data were analyzed then. The main points to consider in this study were (1) does the Korean learners acquire ZAI with the same order of the grammar points presented in their textbook? (2) Is the language acquisition order of ZAI affected by the question types? The results showed that, the sequence of ZAI presented in the textbook is essentially consistent with the language acquisition order of the learners, and their language acquisition order varies with the question types.
On the problem of development of creativity of bachelors of music pedagogical education (aspect of vocal training)

In this article, the authors analyzed psychological and pedagogical research on the development of creativity of bachelors in the process of vocal training. This work allowed us to determine the General trends in the development and functioning of psychological knowledge of the phenomenon of «creativity» and «singing creativity» with their manifestations expressed on the basis of various types of personal activity. The significance and practical relevance to the problem of vocal training of music and pedagogical education dictates the need for scientific development of the problem of creativity development in modern society. The process of developing the bachelor’s vocal experience of creativity consists in purposeful interaction, musical art, co-creation of the teacher and the student in adequate conditions with the use of the necessary mechanisms, forms and methods of organization for the implementation of creative transformations. Creativity as a personality quality of a bachelor of music and pedagogical education is characterized by inner freedom, harmony, expressiveness, and a desire to find new ways to master vocal and performing skills
An Agile MDD Method for Web Applications with Modeling Language

This paper presents the Agile and Collaborative Model-Driven Development method for Web applications named WebAC-MDD. It was conceptualized to transform agile models into Web application source-codes, using a novel Unified Modeling Language (UML) profile named Web Agile Modeling Language (Web-AML). It intends to represent a proposed solution for existing and inherent problems, regarding productivity in the development of Web applications and efforts for modeling and documentation, which do not add any value to clients. The main contributions of this paper are the WebAC-MDD Method, the Web-AML profile, and the proposed automatic generation of products, from the agile models, that are of value to stakeholders.
THE DEVELOPMENT OF LECTORA INSPIRE BASED INTERACTIVE LEARNING MULTIMEDIA IN TEACHING WRITING RECOUNT TEXT FOR EIGHTH GRADE STUDENTS IN SMP NEGERI 35 MEDAN

The aim of this study was to develop the interactive learning multimedia by using lectora inspire for eight grade students at SMP Negeri 35 Medan. This study was conducted by using Research and Development (R & D) design through six stages; gathering data and information, need analysis, designing interactive learning multimedia, validating by the experts, revising and final product. The subject of the study was eighth grade students in SMP Negeri 35 Medan. The data were gathered by administering interview to an English teacher and distributing questionnaire to 29 respondents to get the students’ needs. The questionnaire result prove that the students need English media in learning writing which can stimulate students’ ability and develop writing skill. The product has been validated by an English lecturer and an English teacher with the interval was 4.6. The product was categorized as “Very Good” interactive learning multimedia of writing personal recount text as its positions in the interval . The final product of this study was an interactive learning multimedia of writing personal recount text in the form of an executable (.exe) packaged on a CD (compact disk).
PGI27 Applying Machine Learning to Large Databases to Predict Nonresponse to Conventional Treatment in Patients with Ulcerative Colitis

Ulcerative colitis (UC) treatment patterns can vary across patients and clinicians without formal clinical guidance. This research aims to assess the UC patients at the risk of not responding to conventional therapies (CT). Patients with at least two distinct UC diagnoses and continuous health coverage for one year prior and one year after CT initiation, were identified from Optum data (2010-2019). Patients less than 18 years of age or with autoimmune diseases were excluded. The CT included 5-aminosalicylates, corticosteroids, and immunomodulators. The non-response to CT was defined as either cessation of CT for any reason or initiation of biologic therapy or prolonged corticosteroid use or UC related inpatient/emergency visit or UC related surgery during follow up. Over 53,010 baseline features including patient clinical care, specialist visits, diagnoses, medications, procedures, lab orders, and patient demographics for each patient were analyzed. A machine learning approach, regularized logistic regression, was trained to predict patient non-response to CT. The model was trained on data in the one year before the first CT. Cross-validation was performed across patients to train, validate hyperparameters, and compute held-out performance. In total, 9,752 UC patients (median age 56.8 years, 46% female) who initiated CT were included, among them 7.53% were non-responders. Treatment nonresponse was predicted with a held-out area under the receiver operator curve of 0.635. Features most predictive of patient nonresponse to CT included conditions such as hematochezia, diarrhea, and drugs including atropine/diphenoxylate, zolpidem tartrate and montelukast, and stool culture test among others. Treatment nonresponse could be predicted with moderate performance from insurance claims. The results are encouraging for early detection of patients who may not respond to CT in UC. Future research including advanced methods like neural network or random forest may better identify nonresponse to CT and guide future clinical intervention.
COMPARISON OF TOPIC MODELLING TECHNIQUES IN MARKETING - RESULTS FROM AN ANALYSIS OF DISTINCTIVE USE CASES

Currently, topic modelling is an effective analytical tool for the automated investigation of text data. However, identifying the underlying topics is still a challenging task that is dependent on the selection of the proper technique. Moreover, due to the considerable number of topic modelling techniques reportedin the literature, uncertainty about the application of the techniques arises for both researchers and practitioners. Therefore, we conducted a comparison of three different topic modelling techniques (LDA, PAM, DMR) to give recommendations for three use cases identified in the literature: content extraction, trend analysis and content structuring. For each of them, we identified several requirements and by conducting the method ‘Goal Question Metric’, we derived several comparison metrics. We applied these metrics to a real-world Facebook data set (4,155,992 posts) to highlight the differences between the three topic modelling techniques and to give recommendations for our defined use cases.
Oracle Autonomous Database for Machine Learning

The next three chapters explore machine learning with Oracle Cloud, specifically in the Oracle Autonomous Database environment, which offers many great benefits for machine learning projects. First, you can take advantage of various Oracle Cloud Infrastructure services such as compute, storage, and memory, as well as the Autonomous Database platform. These allow you to easily provide self-management and highly scalable machine learning development and runtime platform in the Cloud without spending time and resources on environment creation and management. As a result, you can focus more on your machine learning development. Second, you can leverage a comprehensive set of machine learning algorithms in Autonomous Database to meet various machine learning project needs. Third, you can use Oracle Machine Learning, a built-in tool that offers a collaborative web-based interactive data analysis environment for data scientists. This tool includes a SQL interface and data mining notebook designed for data analytics, data discovery, and data visualizations, as well as model building and evaluation for your machine learning project.
Drawing Cool Stuff with Turtle

In the previous chapters, we learned how to play with numbers in Python. We looked at the different types of numbers in Python, the various operations you can do, and using various modules and pre-defined methods to have fun with Python!
Optimizing Convolutional Neural Networks to Identify Distorted M-ary CPFSK Signals with RRC Pulse Shaped Instantaneous Frequency

We study the optimization of convolutional neural networks (CNNs) that provides higher classification accuracy with low computation time for a complex valued data generated using continuous phase frequency shift keying (CPFSK). Major aim is to examine supervised learning approach for data generated with the joint presence of additive white gaussian noise (AWGN), central frequency offset (CFO), correlated fast fading channel conditions, and asynchronousity (AT). Several hyperparameters of the CNN are optimized using cross-validation and early stop techniques for reduced computational complexity and improved accuracy metrics. Performance of the CNN is analyzed for different configurations, channel distortions and root raised cosine (RRC) instantaneous frequency pulse shaping parameters. Also, performance of CNN is compared with stacked autoencoder (SAE) and multilayer neural network (MLNN) based classifiers for the same set of signals.
Speech Regulation by Algorithm

The rapid convergence of speech and technology on social media platforms means it is likely the case that, either now or soon, more expressive activity will be regulated by Artificial Intelligence (AI) than by any legislature, regulator, or other government entity. Mark Zuckerberg has repeatedly told Congress and other audiences that AI is the key to resolving Facebook’s content moderation challenges, envisioning a moderation regime where algorithms detect and take down Facebook’s Community Standards-infringing speech ex ante—i.e., prior to its public posting and before it reaches other users. According to Zuckerberg, this would eventually replace its initial content moderation practices, which relied more on human moderators and user complaints than on automated detection and removal—a system that can be slow, inconsistently applied, and often subjects front-line moderators to harrowing emotional harms by exposing them to the worst of the Internet. This Essay argues that private parties’ speech-regulation-by-algorithm is itself protected speech. Government efforts to regulate the content moderation of platforms will thus necessarily be barred by the First Amendment, even if that moderation is automated via AI. Nor would users whose speech has been regulated by AI have any better speech-related claims against AI-informed platform moderation decisions than they have had against nonautomated moderation, for the same reason. However, automated front-end filtering of user speech via AI is in serious tension with several core tenets of First Amendment doctrine. Ex ante AI-based content moderation operates in much the same way as a prior restraint; like government prepublication censorship, it gives users no notice of takedowns ex ante, nor reasons for the takedown decision (at least reasons that a lay user would be capable of understanding). Additionally, it is already clear based on its current use and the necessities of machine learning processes that content-based speech regulation via AI is necessarily overinclusive, which is normally sufficient to find a law or regulation unconstitutional under the First Amendment—a problem that will only grow worse as AI moderates more speech. Given these concerns, this Essay advocates for many of the same robust notice and procedural rights for platform users whose speech is regulated via AI as the First Amendment compels of governments seeking to regulate private speakers.
Theoretical Prerequisites for Training Future Primary School Teachers to Form Students’ Media Educational Skills

The article substantiates the theoretical prerequisites for training future primary school teachers to form students’ media educational skills. The development of new technologies necessitates managing information, choosing the primary information from a large flow within minimal time. The digitalization of society requires a person to be able to work correctly with media resources. Massive information flow covers all areas of human life, and the main difficulty is not to obtain specific information but to determine which information is needed. Because many current media do not verify the authenticity of the data published, manipulative technologies are spreading. Currently, the purpose of higher educational establishments is to train an educated specialist, who should be focused on lifelong learning and his or her ongoing personal and professional development. To be able to develop students’ media educational skills, teachers themselves need to be media-competent. Media competence affects students' professional competence and ensures the development of critical and analytical thinking. Pedagogical institutions of higher education are designed to provide future teachers with a high level of professional media knowledge and media skills to form a creative personality of a modern teacher, capable of research and innovation. In higher educational establishments of Ukraine, there have been revealed a number of problems related to the lack of orientation of the educational process on the professional training of future teachers to form media educational skills of students, namely: weak motivation of students to acquire media academic knowledge; episodic application of media educational technologies in the educational process; lack of future teachers’ interest in improving their level of media competence; insufficient level of theoretical knowledge and practical skills, associated with the effective use of media education, their didactic capabilities and functions; future teachers do not have the desire to improve their knowledge and skills through the use of media education technologies.
Introducción práctica a la K-anonimización

espanolLa Agencia Espanola de Proteccion de Datos (AEPD) ha publicado una nota tecnica sobre K-anonimizacion, una tecnica que se utiliza para salvaguardar la identidad de los sujetos cuyos datos se comparten, en la cual introduce este concepto y proporciona un conjunto de pautas y herramientas para llevar a cabo esta tarea. Una tarea cuya responsabilidad habra de recaer en muchos casos en profesionales de la informatica encargados del almacenamiento y tratamiento de datos. En este articulo se presenta una experiencia reciente en la asignatura Analisis y Diseno de Algoritmos (ADA), del tercer curso del Grado en Ingenieria Informatica de la Universidad de Valladolid. EnglishThe Spanish Data Protection Authority (Agencia Espanola de Proteccion de Datos, AEPD) has published a technical note in which k-anonymity, a technique used to protect identity when data are shared, is introduced together with a set of guidelines for using it. Such a task will in many cases fall under the responsibility of computing professionals in charge of data management. This article presents an experience introducing K-anonymity to the Computer Engineering students following the third year course on Algorithms (Analisis y Diseno de Algoritmos, ADA) in the academic year 2018/2019.
The Usability Outlook Of Computer-Based Exams As A Means Of Assessment And Examination: A Case Study Of Palestine Technical University

Recently, computer-based exams, in replacement for the traditional paper-based exams, have become a booming trend that is endorsed by many educational institutions and universities all over the world; this endorsement has been a direct outcome of the advancement in computer technology and the rapid spread of the internet. Accordingly, the aim of this study was to investigate the usability outlook of computer â€“based exams as a means of assessment and examination , and to identify some of the reflections on the experiment of Palestine Technical University- Kadoorie Tulkarm Campus in implementing such an assessment on one of the English language introductory courses , namely, Remedial English course (no.15200099). To achieve the purpose of this study, and to answer its questions, the researcher scrutinized, in a survey-like and a descriptive methodology, throughout the findings and conclusions of the available related literature in order to draw a line of understanding in regard to the main aim of this study and its questions. The findings of this study revealed that using computer-based exams in replacement for the traditional paper-based exams represents a domain of an ongoing debate between adherents and opponents who anchor their points of view to various sets of reasons and rationales. The findings also pointed out some problems and setbacks in regard to the experiment of (PTUK) in implementing computer-based exams, as means of assessment and examination , on one of the English language introductory courses, namely, Remedial English course (no.15200099); some of these problems and setbacks are mainly connected with the (LMS-Moodle), which is used as a medium of carrying out and disclosing the Remedial English Exam, and, in addition, the complete dependence on multiple-choice questions, which are the only type used by (LMSMoodle). The study concluded with some recommendation for future research.
Keterampilan Menulis Surat Pribadi Bahasa Jerman

This research is a descriptive quantitative research which aims to determine the skill level of students' personal letter writing. The sample of this research is the 12th grade students of SMA Negeri 1 Watansoppeng is 20 students and the sample is total sampling. The data in this research were students of class XII Language SMA Negeri 1 Watansoppeng. The research data were obtained through a personal letter writing skill test and the data were analyzed using the percentage technique. The result of this research that the students' personal letter writing skills is in the sufficient category (71.45%) and the results of the questionnaire analysis show at percentage of 18 students (90%) like to write German and it is also supported by external factors where 19 students (95%)stated that the teacher always provides gives excerise about German writing skills while the inhibiting factor in students' personal letter writing skills comes from internal factors which is 14 students (70%) struggling in composing German sentences.
Smart Classroom Environment using IoT in advanced and lebanese French university Education

When teachers go to the classroom, all the materials needed to conduct the lesson are taken with a piece of chalk, pen, pencil and notebooks, the notes are wasted without any modern technology and it is very difficult for a large number of students in the class to have too much contact. On average, we spend about 1,200 hours on Iraqi Kurdistan Airbnb students, with the help of interactive whiteboards, projectors, and writing boards, so that students can easily manage a lot of exercises that are easy to understand, with easy-to-understand tutorials, photos, and videos. Let's do it. These technologies will help teachers in the most effective manner to solve the most challenging solve the doubts not waste time.  Then, these methods will help the teachers to change the classroom approach and make the students easily understand the lessons
The role of ict in the development of professional competence of students with special educational needs

The continuous improvement and development of information and communication technologies (ICT), the accumulation of colossal amounts of information, the increased requirements for the qualifications of workers, the rapid obsolescence of knowledge require a person to constantly improve the educational level, expand information and communication competence (ICT competence).
The usage of ict in the classrooms of primary school

Traditionally, it is believed that a child receives literacy in primary school, where he is taught to write, read and count. This is undoubtedly the case. But modern society needs new ways of activity, which requires a person to develop a whole range of skills and abilities-finding the necessary information, processing it, providing it to other people, modeling new objects and processes, self-planning and building their actions. Along with teaching reading, writing and numeracy skills, starting from the first grade, it is important to teach children how to use digital technology as a working tool in their studies and everyday life.
ANALYSIS OF CONFLICT IN A MISFORTUNE BY ANTON CHEKHOV

This paper aims to find the conflict that exists in the story of A Misfortune by Anton Chekhov. This research method is descriptive analytical research methods. The data collection technique of this study uses documentary techniques sourced from the stories of A Misfortune by Anton Chekhov. The conflict found by researchers in the form of sentences, phrases and word quotations. Based on the analysis carried out, the researchers also found two types of conflicts, namely people vs. self and people vs. people. The first, the main character who has a conflict with himself such as feelings of doubt, confusion, anger, chaos, sadness, despair, shock, fear, regret, revenge, and annoyance. Second, the main character has problem with other character figures such as quarrels, debates, disagreements, and disputes.
Application of Model Discovery Learning in Improving Text Writing Skills Report Observation Results for 10th Grade Students in Sma Negeri I Rambah

This research is motivated by low writing skills the text of the report on the observation of students of class X IPA SMA 1 Rambah. This type of research is Class Action Research. The method of this research is qualitative and quantitative methods. The purpose of this study was to improve the process and student learning outcomes in learning student writing skills through the application of the Discovery Learning model. The results of these studies are (1) Increasing student learning activities in the first cycle by 72.35% with a fairly good category, in the second cycle to 48, 52% with a fairly good category, increasing in the third cycle to 50% with good categories, and increasing again in the IV cycle to 60.58% with a very good category. (2) Increasing the teacher's actions in learning in the first cycle is 65% with less categories increased in cycle II to 77.5% with sufficient categories, increasing again in cycle III to 90% with good categories, and increasing again in cycle IV to 95 % with a very good category. (3) increase in completeness of student learning outcomes, namely in pre-cycle grade average value of 59.70 with a percentage of completeness 32.35% increased in the first cycle to 67.06 with a percentage of completeness of 50%, increased again in the second cycle to 74.12 with a percentage of completeness of 70.58%, increased again in the third cycle to 77.06 with a percentage of completeness 79.41%, and increased again in the cycle IV to 84.70 with a percentage of completeness of 97.05%. Based on the results of the study it can be concluded that the application of Discovery Learning can improve the process and learning outcomes of class X IPA students of SMA 1 Rambah in writing the report text.