Reviewerly/exHarmony huggingface dataset:
한국어 글쓰기 수업 및 평가 실태와 교사 인식 조사 - 대학 부설 한국어교육기관을 대상으로 -

The purpose of this study is to find out the actual conditions of current Korean writing classes and assessments and to show the perception of teachers about Korean writing education in the universities’ Korean language institutes in Korea. Data were collected through questionnaire surveys and analyzed, the subjects were 101 Korean teachers work at 10 university language institutes in Seoul. The findings are as follows. 10 KLIs(Korean Language Institutes) have similar systems and activities in writing classes and assessments and they focus on accuracy rather than organizing or rhetorics in composition. All teachers recognize writing classes and assessments are needed despite the burden of feedback, and they think the important and urgent thing KLIs have to do is to systemize writing classes in curricula. Based on these results, practical studies are required to contribute to systemizing writing curriculum and reinforcing teachers’ expertise of writing education.(Hongik University)
ФОРМИРОВАНИЕ У СТУДЕНТОВ ТЕХНИЧЕСКИХ СПЕЦИАЛЬНОСТЕЙ ВУЗА ПРЕДПРИНИМАТЕЛЬСКОГО МЫШЛЕНИЯ В ПРОЦЕССЕ ОБУЧЕНИЯ ФИЗИКЕ

The aim of the research is to solve the problem of forming entrepreneurial thinking in students of technical specialties on the basis of a transdisciplinary integrated approach to the study of physics and economics. The result of the study was the definition of the essence of interdisciplinary connections between physics and economics, the identification of the peculiarities of physics problems, focused on the formation of entrepreneurial thinking, a demonstration of the need to implement a professional context in the study of physics. In the article, this problem is investigated by means of analysis, comparison, and systematization of pedagogical literature. This article examines the technology of applying a transdisciplinary approach to form students' entrepreneurial thinking in the process of teaching physics. Physical models used in economics are presented.
Impact of solutions on the identification of tectonic transients: A case study using the last decade of GNSS data in South America

&amp;lt;p&amp;gt;GNSS derived displacement time series are used to track plate tectonics and the associated motions across major plate boundaries. With a growing number of continuous GNSS observations, it is becoming increasingly apparent that plate trajectories rarely conform to standard trajectory models. The deviations from these expected trajectories can be considered as transient motions, some being tectonically related, and others being related to geophysical fluid loading, local site effects, and artifacts of the GNSS processing. As we increasingly inspect the transient motions of GNSS displacement time series, we have to take care that the GNSS processing choices, such as the reference frame&amp;lt;!-- The reference frame is already the realization of the system. Just a terminology fineness. --&amp;gt;, are not introducing non-tectonically related artifacts into the eventual isolated tectonic signals.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Here we explore the effects that different solutions &amp;lt;!-- Take up the abstract title. --&amp;gt;and processing strategies have on our eventual daily GNSS displacement time series - the aim being to explain how artifacts arise and to determine which strategies best mitigate these artifacts. We compare displacement time series made from both Precise Point Positioning and network (double-differenced) solutions that are provided in the latest official reference frame solution ITRF2014, and in JTRF2014 based on Kalman filtering.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In our analyses, we use approximately one hundred GNSS stations from South America, with a focus being to identify transient tectonic activity related to the subduction of the Nazca plate under Chile over the past decade.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
A Cyber Deception Method Based on Container Identity Information Anonymity

Existing cyber deception technologies (e.g., operating system obfuscation) can effectively disturb attackers' network reconnaissance and hide fingerprint information of valuable cyber assets (e.g., containers). However, they exhibit ineffectiveness against skilled attackers. In this study, a proactive fingerprint deception method is proposed, termed as Continuously Anonymizing Containers' Fingerprints (CACF), which modifies the container's fingerprint in the cloud resource pool to satisfy the anonymization standard. As demonstrated by experimental results, the CACF can effectively increase the difficulty for attackers.
Towards Personalised Dementia Care: Approaches, Recommendations and Tools from Design

According to Person-Centred Care, as far as possible, people with dementia should be cared for in a way that takes into account their personality, life experiences and preferences. Personalisation is hence the core of Person-Centred Care, yet the approaches, recommendations and tools are lacking for this purpose. Therefore, the author investigated how this personalisation could be facilitated by design. Specifically, the author explored how to personalise the care for Behavioural and Psychosocial Symptoms of Dementia (BPSD). This is because BPSD contributes to the most stressful, complex, and costly aspects of dementia care. Non-pharmacological interventions for BPSD care have been developed, which offers ample room for personalisation. From the field of healthcare, the author drew on Person-Centred Care, and from there, she looked at BPSD from the lens of the Need-driven Dementia-compromised Behaviour (NDB) model, where BPSD is interpreted as a way for people with dementia to express their unmet needs. Factors contributing to BPSD have been categorised by this model, which could be unique for each person with dementia. From the field of design, she approached the challenge from the lens of Human-Centered Design and explored three design approaches that are most relevant in designing for personalised BPSD care, namely, Ergonomics in Ageing, Co-design and Data-enabled Design. The author hypothesised that a combination of these three design approaches could reveal insights into the factors contributing to BPSD, as mentioned in the NDB model, for each person with dementia exhibiting BPSD symptoms. She further hypothesised that gaining insights about these factors could facilitate the design of personalised dementia care. The author implemented a series of steps in evaluating these hypotheses from the literature and from the field. The learnings gained throughout the literature and field research enabled the integration of the three design approaches into Knowme, a toolkit for designing for personalised dementia care. The author concludes with a summary of research findings, a reflection on the research approach, and ends with recommendations for future work.
ANXIETY OF THE PERSONEMOTIONAL STATUS

The article considers the impact of anxiety on the qualitative characteristics of man and the problems of his theoretical research in the field of psychology.Theconcept of anxiety in psychology is the ability of a person to feel different discomforts depending on the experience in different situations. Everyone has a level of anxiety called temporary and normal. If a person wants, he can overcome it. And if anxiety persists for a long time, it will not be able to cope on its own, and this will have a negative impact on human health and disrupt normalcy. Increased levels of anxiety, along with the emergence of various diseases, lead to a significant decline in quality of life. There are psychological and physiological manifestations of anxiety, which are determined by certain methods in science. The most obvious of the psychological symptoms -obscure problems -unjustified tense experiences.In psychology, anxiety is an emotional state with a negative connotation. Anxiety is characterized by the expectation of something negative, such as an adverse outcome or adverse outcome. Anxiety is a person's experience in different situations (joy, sorrow, shame, anger, fear, etc.). Anxiety is associated with a mental state, which is a person's emotional state and various feelings that indicate anxiety. Anxiety is associated with a mental state, which is a person's emotional state and various feelings that indicate anxiety. Forexample: confusion, anxiety, excitement, indifference, impatience, delay, etc. There are other meanings of the mental state of anxiety, which are: depression -a shameful mental state accompanied by anxiety; Propaganda is a phenomenon that takes place notonly in a state of anxiety, but also in a state of anger and rage; grief is a state of mind accompanied by anxiety, worry, grief, mental state is a state of mind, violence is a state of mind, grief accompanied by long-term anxiety, etc., so anxiety is a double state of mind.
PRINCIPLES FOR FORMING RESEARCH CULTURE OF FUTURE SPECIALISTS

This article considers the problem of the formation of the research culture of future specialists. Particular attention is paid to the principles of organization of research work at a university. In modern conditions of the development of science and technology, changes in the style of thinking, priority sources of perception of information of future specialists, it is necessary to develop new, effective methods of training, the result of which will be the formation of an effective specialist that is in demand by a potential employer. Thus, the process of forming the research culture of future specialists in accordance with the culturological approach is the main system-forming factor in the formation of personality, and the joint scientific work of the student and teacher should become an effective tool. The research culture of future specialists is a system-forming basic component of a personality culture, an intermediate link between a person and his purposeful activity. It is an integrative, dynamic quality of personality, characterized by a value attitude to research, an unsaturated need for search activity, a combination of methodological, philosophical, general subjective, reflective knowledge and research skills, and a high potential for research abilities.
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora

Embeddings of words and concepts capture syntactic and semantic regularities of language;however, they have seen limited use as tools to study characteristics of different corpora and how they relate to one another. We introduce TextEssence, an interactive system designed to enable comparative analysis of corpora using embeddings. TextEssence includes visual, neighbor-based, and similarity-based modes of embedding analysis in a lightweight, web-based interface. We further propose a new measure of embedding confidence based on nearest neighborhood overlap, to assist in identifying high-quality embeddings for corpus analysis. A case study on COVID-19 scientific literature illustrates the utility of the system. TextEssence can be found at https://textessence.github.io.
Pelatihan Pembuatan Web Dengan PHP Dan WordPress Pada SMA Negeri 4 Pangkalpinang

The development of Science and Technology is getting faster and faster, especially in the field of Information Technology, one of which is website technology. Training on creating websites with php and WordPress was carried out at SMA Negeri 4 Pangkalpinang because the SMP Negeri was deemed not optimal in using existing information technology, therefore this service was carried out. The participants in this service were students of SMA Negeri 4 Pangkalpinang. In this service activity is to provide training and assistance in creating a website using PHP and WordPresss to students at SMA Negeri 4 Pangkalpinang. As for the benefits of this training, it is hoped that it can improve the ability of SMA Negeri 4 Pangkalpinang students in creating a database with Xampp as a server. The importance of this training for SMA Negeri 4 Pangkalpinang is because by looking at the times regarding sophisticated technology, students of SMA Negeri 4 Pangkalpinang are also required to be able to use this technology so as not to be left behind and gain new insights in the use of information technology.
Face Recognition and Pattern Recognition Based Dress-Code Monitoring for Students

The technology has been developed which can make interaction between the human and the computer very easy. The face recognition is the best example for that. For the past two decades the researches are made in the face recognition. The face recognition can involve in all the below mentioned process such as computer vision, pattern recognition, image processing and the machine learning. In this paper they mainly process the face recognition and the color identification. The faces are captured and the pattern segmentation, identification and comparison are made. Then the next stage is the color identification which uses the Neural Network Model which is applied in the color uniform of the college students. From the captured image of the color uniform the RGB color components are extracted. The color components of the resized images are scaled using SHM Simple Heuristic Method. From feature vector identification in the color uniform the rescaled image is extracted. The accuracy of the method is about 95%. The RGB and the neural network plays a main role in the color identification.
Conjugate Energy-Based Models

In this paper, we propose conjugate energy-based models (CEBMs), a new class of energy-based models that define a joint density over data and latent variables. The joint density of a CEBM decomposes into an intractable distribution over data and a tractable posterior over latent variables. CEBMs have similar use cases as variational autoencoders, in the sense that they learn an unsupervised mapping from data to latent variables. However, these models omit a generator network, which allows them to learn more flexible notions of similarity between data points. Our experiments demonstrate that conjugate EBMs achieve competitive results in terms of image modelling, predictive power of latent space, and out-of-domain detection on a variety of datasets.
Lessons Learned from COVIDSafe: Understanding Conditions for Successful Implementation of Track and Trace Technologies

This chapter focuses on the implementation of Coronavirus disease (COVID) Safe, a track and trace technology designed for the Australian context. Contact tracing technologies can provide communities with a method to contain the spread of communicable diseases by quickly identifying and notifying people who have come into contact with infected individuals. Exposed individuals could then be informed, tested, and isolated, which would break the chain of further transmission. Inexperience in secure enactment of track and trace technology has also marred public perception of the efficacy of COVIDSafe. Awareness campaigns that raise knowledge and understanding are important tools for promoting change in social behaviours and norms; however, an important consideration is understanding the cultural context. A lack of public education and trust has failed to generate a meaningful awareness of what COVIDSafe can in terms of providing protection for the Australian population.
PENINGKATAN PELAYANAN JASA KONSULTAN LINGKUNGAN HIDUP DENGAN PENGEMBANGAN WEBSITE CV FAHMI JAYA

Research on the improvement of environmental consulting services with the development of the CV website. Fahmi Jaya is a research to make it easier for the public to obtain complete and up-to-date information because information is felt to be very important in making decisions and in achieving goals. In addition to obtaining complete and up-to-date information, the website can also send and publish information to the wider community online. The system development method used in this research is the System Development Life Cycle (SDLC) method, or better known as the system development life cycle in system engineering and software engineering, is the process of making and changing systems and the models and methodologies used to develop these systems. The results of the research are expected that this system can publish its activities for more recent information so that the public can find out the activities that have been carried out, the ease of information about CV FAHMI JAYA.
The Development of Creativity of Students in Higher Education: Innovative Pedagogical Management

The article is devoted to innovative pedagogical management as a very important factor of developing creativity of students in higher education.Main functions of management and innovative pedagogical management are analyzed.Special attention is paid to the goal, main tasks, features, effective model of innovative pedagogical management and important conditions for its implementation.Two main types of innovative management in education (strategic and functional) are described.The conditions for effective implementation of innovative pedagogical management for developing students' creativity are analyzed.The essence of creativity and the creative situation (as one of effective means of developing students' creativity) are in the focus of attention.
Bitcoin Fiyatlarındaki Değişimin Markov Rejim Değişim Modeli ile Analizi

Purpose – In the study, it is aimed to find the rising / gaining and falling / losing regimes, regime transition possibilities and duration of stay in the regime to determine the volatility dynamics of Bitcoin, which has the highest trade volume among crypto currencies. Design/methodology/approach – In the study, the rising / gaining and falling / losing regimes, regime transition possibilities and duration of stay in the regime were determined by the Markov Regime Switching Model, which allows both changes and regime transition probabilities to be calculated. Findings – In the study, for the study period it has been determined that the most suitable model for the Bitcoin return series is the three-regime MSIH (3) -AR (1) model which gives stronger results than the linear model. In the model consisting of three regimes, regime 1 with a negative coefficient indicates the contraction regime period, while regime 2 with positive coefficients indicates the transition and regime 3 the expansion regime period. It has been determined that while the Bitcoin returns series is in a regime, the probability of staying in the same regime for the next period is high, the possibility of transition from regime 1 to other regimes and from other regimes to regime 1 is low for the next period. Discussion – It has been determined that the regime persistence of Bitcoin returns is high for the period under study. In this context, if investors know the regime of Bitcoin returns in the current period, they have the opportunity to estimate the probability of staying in this regime and make their investment decision according to this information. However, considering that average duration of stay in the regimes is low, it is seen that active investors who keep Bitcoin in their portfolios will have the opportunity to increase the utility of their portfolios if they constantly follow the regime changes of this tool.
Neural Question Answering Models with Broader Knowledge Scope and Deeper Reasoning Power

Author(s): Xiong, Wenhan | Advisor(s): Wang, William WW | Abstract: Natural language has long been the most prominent tool for humans to disseminate, learn and create knowledge. However, in the era where new information is generated at an unprecedentedly rate and people’s craving of knowledge becomes broader and deeper, efficiently extracting the desired knowledge from the vast amount of language become a significant challenge. Even with the aid of modern search engines which sometimes directly return a text snippet along with the ranked list of pages. The accuracy of extracted knowledge is still insufficient such that the users often need to manually inspect each of the retrieved pages. This is especially the case when the queries becomes more complex and less common.In this dissertation, we investigate the problem of knowledge extraction centering around a simple and generic task formulation: we aim to build a system that takes natural language questions as input, processes the underlying knowledge source (usually text corpus or structured knowledge source) and finally returns a short piece of text that adequately answers the questions. In a nutshell, the goal of the proposed approaches in this dissertation is to enable AI systems to accurately answer broader and harder questions. We begin by studying the traditional structured QA system which uses a structured knowledge base (KB) as the underlying knowledge source. Specifically, we propose reasoning methods to automatically populate the missing knowledge in a KB, and a hybrid neural model that combines both KB and text to answer questions. Next, we utilize strong and large pretrained models to build QA systems that directly answer questions from text corpora. We introduce a knowledge-enhanced pretraining strategy which explicitly injects more entity-centric knowledge into pretrained models. Finally, we present a multi-hop QA model that could efficiently navigate over the large text corpus (over millions of documents) and reason over multiple text evidence to derive the answer. Altogether, these techniques allow users to ask questions from broader domains and with increased complexity.
Improving Students’ Vocabulary Mastery by Using Anagram Game

The objective of this research is to examine the effectiveness of using anagram game to improve the vocabulary mastery of the eighth grade students at MTS NEGERI 2 DONGGALA by using Anagram Game. This research applied quasi experimental research which consists of two groups, namely experimental and control group. The population of this research was grade VIIIB as the control group consisting of 27 students and grade VIIIA as the experimental group consisting of 27 students. The instrument of the data collection used in this research is test. There were two tests in this research, pre-test and post-test. The tests were given to both groups. The data of this research was analyzed statistically. After analyzing the data, the researcher found that there was significant difference between the score of experimental group and control group. The score of experimental group was higher than control one. Therefore, t-counted (4.63) is higher than t-table (1.675). In other words, anagram game can improve the vocabulary mastery of the eighth grade students of MTS NEGERI 2 DONGGALA by using anagram game. Keywords:  Improving, Vocabulary Mastery, Anagram Game. Abstrak Tujuan dari penelitian ini adalah untuk melihat efektivitas dari penggunaan permainan anagram untuk memperbaiki penguasaan kosakata siswa kelas delapan di MTS Negeri 2 Donggala dari penggunaan anagram game. Penelitian ini menggunakan desain penelitian eksperimen semua yang terdiri dari dua kelas, yaitu kelas eksperimen dan kelas kontrol. Sampel dari penelitian ini adalah kelas VIIB sebagai kelas kontrol yang terdiri dari 27 siswa dan kelas VIIA sebagai kelas eksperimen terdiri dari 27 siswa. Instrumen pengumpulan data yang digunakan dalam penelitian ini adalah tes.  Ada dua tes dalam penelitian ini, pre-test and post-test. Tes diberikan kepada kedua kelas. Data penelitian ini dianalisis secara statis. Setelah menganalisis data, peneliti menemukan bahwa ada perbedaan yang signifikan antara skor kelas eksperimen dan kelas kontrol. Skor kelas eksperimen lebiht inggi dari kelas kontrol. Dimana, t-hitung (4.63) lebih tinggi dari t-tabel (1.675). Dengan kata lain, permainan anagram bisa memperbaiki penguasaan kosa kata siswa kelas delapan MTS Negeri 2 Donggala Kata kunci: memperbaiki, penguasaankosa kata, permainan anagram