Reviewerly/exHarmony huggingface dataset:
CHALLENGING EDUCATIONAL PROCESS IN MODERN ENVIRONMENT

The paper gives theoretical and practical approach to challenging educational process in modern environment.In first part of paper, present theoretical aspects of educational process through history and time, by leadingauthors in the field of education. Educational process comes from traditional form of teaching to integratedlearning process, which includes information technology platforms, modern holistic marketing approach,modern approach to presentation in class room, interactive discussion with students, and use of mobileplatforms and new concept of relationship with students, based on dialogue. Also, business environment haschanged and has impacted educational process. In second part of paper, is presented theoretical aspects ofstudent’s behavior through time, from traditional concept of listening lectures, to the interactive learningprocess and dialogue with colleagues and professors. Also, changing business environment bring to educationalprocess new topics, new professions. There is emphasizing that new generation need integrated approach,based on both traditional knowledge methodologies and information technologies platforms. Younggenerations love to share knowledge, educational experiences and have strong feeling for connection withothers, to learn more, to travel, to get experiences. Young generations are mobileand in looking for knowledgeand nontraditional professions. Professors have to follow these educational and business changes. In third partof paper, is presented empirical research about student’s behavior in modern educational process and newbusiness environment. Empirical research includes questionnaire and focus group by students about their newneeds, wishes and feelings in modern educational process in modern environment. Empirical research presentswhat drives students in education, in getting knowledge..
Komparasi Penilaian Kinerja Karyawan Dengan Menggunakan Pendekatan Pembelajaran Mesin

Performance evaluation is an activity to measure whether a worker is able to do his job in accordance with his duties and responsibilities. The results of the assessment will be utilized and evaluated by the management managing the workers. The reason for using machine learning in research is because of its advantages in learning about machines with high accuracy results. There has been a lot of machine learning that has been tested, both guided such as decision trees, neural networks, bayesian learning and non-guidance such as clustering, as well as genetic algorithms and ant colony algorithms. The algorithms chosen in this research are Naive Bayes, Perceptron and Support Vector Machine (SVM). Naive Bayes was chosen because of the reliability of results with simple steps from the type of learning with the concept of probability. Perceptron is known to be reliable from the types of neural network-based learning. SVM is a well-known algorithm that is able to find hyperplane values more accurately than other algorithms. The results of the study state that the highest accuracy value is generated by the Perceptron algorithm which is equal to 99.33%. Followed by SVM of 96.64% and naive bayes of 94.63% as a result of the use of training data. For the results of testing using 10-folds cross validation consistently under the training data testing.
3·1운동 시기 세브란스 외국인 선교사들의 대응 : 스코필드와 에비슨을 중심으로

This article deals with Frank W. Schofield and Oliver R. Avison, who were two of the missionaries who most actively reacted to the March 1st Independence Movement. They shared a common identity as missionaries and Canadians. As Canadians, they could take advantage of the amiable relationship between Britain and Japan. From the outset, they were supportive of the March 1st Independence Movement and endeavored to help the movement, criticizing the Japanese authorities’ brutal crackdown on street protests.Schofield was able to assist the movement because of the support of Avison, along with Armstrong, the Secretary of the Canadian Presbyterian Mission. He was threatened by the Japanese police for his activities in support of the movement, which caused him to return home in April 1920. Back in Canada, he continued to give speeches and write about the situation in Korea.Avison could not show his sympathy for the March 1st Movement as overtly as Schofield did because of his responsibilities at Severance Hospital, its Medical College, and Yeonhi College. However, he tried his best by criticizing Japanese colonialism and conveying information about the situation in Korea overseas. His membership in the Commission on Relations with the Orient of the Federal Council of the Churches of Christ in America was related to this. When he went back to the United States after retirement, he helped Syngman Rhee’s activities toward Korean independence. Further, he organized the Christian Friends of Korea with American and Canadian colleagues to support the approval of the Korean Provisional Government and the independence movement of Koreans.
CivilOnto: An Ontology Based on Persian Articles Published in Civil Engineering Domain

The present research aims to represent the terms and concepts of civil engineering and thus design its domain structure in the form of ontology. This is an applied research and the qualitative content analysis method with summative approach is used. The research population is 12309 published articles in the scientific journals (1983 to 2016), indexed in the full-text Persian articles database at Regional Information Center for Science and Technology (RICeST). Data collection was done via SQL queries from the RICeST database. The content analysis was used to create a conceptual model of the civil engineering domain and to explain the relationships and instances. To create the conceptual model, there were consulted with 10 Subject experts in civil engineering area. The process of ontology creation has been done through METHONTOLOGY methodology and protege ontology management software (Beta 5 edition). The made-artifact of this research has 283 concepts, along with 62 object properties, 79 data type properties, 10 annotative properties, and 976 instances. In total, in the present research, 151 semantic properties were identified between the concepts. The results of this research can serve as a guide for the RICeST experts in order to identify the users’ needs and facilitate the users’ interaction with RICeST databases. This can also provide the users with access to more relevant resources. This ontology can also be served as a layer of semantic web in these databases.
SISTEM PAKAR MENDETEKSI GANGGUAN OBSESSIVE COMPULSIVE DISORDER MENGGUNAKAN METODE BACKWARD CHAINING

Obsessive compulsive disorder is a psychological disorder caused by anxiety and fear that appears suddenly. OCD can interfere daily activity to cause depression. In the process of diagnosis, patients use uncertain words such as "decent", "rare", "enough". This causes the doctor difficulty in making a diagnosis. From these problem, an expert system application was made that can detect obsessive compulsive disorder to facilitate and increase the level of trust of doctors in diagnosing. This application uses the method of backward chaining and certainty factor and uses PHP and MySQL languages. From this study, an expert system application was produced that can displays the results of the detection of the type of obsessive compulsive disorder. The results of application testing are in accordance with expert knowledge. Black box testing which shows all of application function that can run as expected.
Litres Reader Book Review: Non-Institutional Critique On The Internet

The Internet has allowed anyone to participate in the literary process not only as a reader or writer, but also as a critic. The prevalence and relevance of the readers review on the Internet reveals a number of problems. Institutional (literary) critique is perceived by readers as official and therefore causes a certain distrust. The readers review on the website of the online store is the main Navigator in the information flow of literature and, accordingly, requires study. A survey of 240 people was conducted. 70% of them are young people aged 15 to 25. 30% are respondents aged 25 to 55 years. The questions asked were about the ways of selecting books for reading, which electronic resources of books are most often addressed by respondents, what critics they know, if they read reviews about books, or write themselves. We have analyzed more than 500 reader reviews, their communicative and writing strategies. Reader review in the electronic library Litres is a model of all non-institutional (reader) criticism in miniature. The reviews can be traced to the dynamics of the readers fashion, the popularity of an author or work, as well as Trends in the development of literature as a whole. The prevalence, diversity and creativity of reader reviews indicate a serious change in the ratio: writer-reader-critic.
LibGuides: Resources for Alumni: U of I Focused Collections

This guide is here to help connect alumni to resources for research after they have graduated from the University of Idaho.
Development of Exposition Text Writing Teaching Materials With Genre Approach to Students of Grade X Vocational High School Brigjen Katamso Medan

The aims of this study to find the validation conducted by the material expert validator on the development of the exposition text writing module. This research used development method by using population data of all student grade X vocational high school Brigjen Katamso Medan with total 92 students. The technique of collecting data by using by simple random sampling. . The results of the validation carried out by the material expert validator on the development of the exposition text writing module with the genre approach 89.11% with the category "Very Good". The results of the validation carried out by the design expert validator on the exposition text writing module overall average value of 90.80% with the category "Very Good". The teacher's assessment of the exposition text writing module with the genre approach for grade X students obtained an average value of 80.70% in the "good" category
INTELLECTUAL PROPERTY LAW OF COMPUTER-GENERATED WORKS DERIVING FROM ARTIFICIAL INTELLIGENCE

With the proliferation of artificial intelligence, the significant domain forming the copy-rightable works autonomously created by the computer, without significant expenditure of human effort and skill. The reality of today is that information content is predominantly coming from the computer, where the idea-expression dichotomy of originality is rather referring to the computer than a human author. However, the copyright is revolving around the human-centered authorship its showing resistance to non-human creativity. In the context of authorship, the artificial category of a corporation owning property in the interest of their shareholders allowing application concerning the artificial intelligence author. Moreover, computer programs exercising independent choice in the unpredictability of the outcome of the operation can objectively approximate artificial intelligence to the qualification of authorship.
Produção científica sobre Agenda 2030 nas publicações de competência em informação: uma análise da Brapci, Lisa e Ista

It presents results of the research on the scientific production in competence in information and information practice focused on the sustainable development and the exercise of citizenship associated with the Sustainable Development Objectives of the Agenda 2030, adopted by the member countries of the United Nations Organization. The methodology is based on the exploratory research, of a qualitative and quantitative nature, using research data organized from the analysis of content, with temporal cut of the years 2017 and 2018, in reference databases: Reference Database of Articles Periodicals in Information Science - Brapci, Library & Information Science Abstracts Lisa - and Information Science & Technology Abstracts - Ista. It is observed that information competence can influence the development of education in actions that promote development and stimulate the exercise of citizenship based on critical and ethical information practices.
System Security Awareness Planning Model Using The Octave Method Approach

Awareness of the security of information systems is an important thing to note. In this study, we will discuss planning models of awareness about information system security using Octave models or methods. The analytical method used is qualitative descriptive analysis. The results of the study show that the Octave model can increase awareness about the importance of security in an information system and companies that implement it will be able to improve their performance in the future.
Pengembangan Pembelajaran Menulis Teks Ceramah Dengan Model Problem Based Learning Dipadukan Media Gambar Pada Siswa Kelas XI SMA

Writing entitled Development of Text Writing Lesson Lecture with Problem Based Learning Model Combined Image Media for Students Class XI on High School aims to examine the development of learning text writing lecture with Problem Based Learning (PBL) learning model with the help of picture media in grade XI high school students. The scope of this development is limited only to planning, materials and evaluation in the learning process. The method used in this research is Research and Development (R &amp; D), using development research design with ADDIE model, ie Analysis (stage), Design (Design) stage, Development stage, Implementation stage and Evaluation stage (evaluation). Source of data that became the object in this research is the students of class XI in SMA Negeri 8 PPU. The results of development are obtained based on two aspects: feasibility, practicality and effectiveness. So that data obtained the feasibility of 71%, practicality is 84%, 83% effectiveness. Overall the quality of teaching materials that are the product of this development is categorized as appropriate for the use of odd semester class XI students. The benefits of this development for Indonesian language teachers are expected to help as an alternative choice of text lecture lessons. For students, this development model can make students more creative, innovative, more productive. For the author itself is expected to be a means to deepen science. In addition, it is hoped that the results of development will be useful for the school as a useful source of information for the development of Indonesian language learning model.
Training and Evaluating Visual Recognition Systems with Limited Annotations

Author(s): Nguyen, Phuc Xuan | Advisor(s): Fowlkes, Charless; Ramanan, Deva | Abstract: In recent years, large-scale datasets with high-quality annotations have enabled many significant discoveries in computer vision and machine learning. However, the luxury of large-scale human annotations is not always affordable. For example, image semantic segmentation requires annotations for every pixel in an image. Similarly, action localization in untrimmed videos requires fine boundaries of action instances. The annotation effort for these tasks is prohibitively expensive to scale. What can we do in such scenarios? In this thesis, we look at different ways to circumvent this challenge. First, we examine micro-videos, a new and abundant source of visual data with user-generated metadata that could serve as web-supervision. Second, we explore weak supervision, in the context of action localization. While fine boundaries annotations of action instances are expensive and difficult to obtain, video-level labels can be cheaper and more accessible. We present two state-of-the-art systems that leveraged on this weaker form of supervision and compare them to their fully supervised counterparts. Lastly, we address the problems of accurately measuring the performance of computer vision systems with limited human annotations.
The Establishment of a Classroom Teaching Effect Evaluation Model for Environmental Specialty Based on Cognitive Neural Theory

In order to define the teaching orientation of environmental specialty in colleges and universities, this paper emphasizes the consistency and similarity between teaching and practice, and turns to promote and encourage the development of characteristics, advantages and differences of environmental specialty teaching in colleges and universities. This paper proposes a classroom teaching effect evaluation model for environmental specialty based on cognitive neural theory. According to the analysis of current environmental professional classroom teaching, the introduction of different types of colleges and universities in teaching environment in the level of the special teaching mode, using the PLS - SEM statistical techniques to determine the effect of classroom teaching evaluation, on the basis of the understanding of theory, the effect of classroom teaching evaluation model is set up, and to evaluate the effect of classroom teaching. The experimental results show that the evaluation accuracy of the model is higher.
An Analysis of Arts Curriculum of High Schools in Seoul

이 연구는 서울특별시에 소재한 일반고등학교 예술교과 교육과정 편제를 분석하는 데 그 목적이 있다. 연구대상은 서울특별시 소재 188개의 일반고등학교 중 2018학년도 입학생의 3개년 교육과정 편제를 공시한 157개교이다. 공시된 교육과정 편제를 수합하여 학년별 예술교과 편제 현황, 학교별 예술교과 이수단위, 예술교과 과목 개설 현황, 예술과목 과목 개설 수 등을 분석하였다. 연구결과, 예술교과가 1, 2, 3학년 모든 학년에 편제되어 있는 경우는 78개교(49.6%)이고, 79개교 51.4%)에는 한학년 혹은 두 학년에만 편제되어 있다. 전체 157개교 중 49개교(31.2%)는 학교지정으로만 예술교과를 편제하였고, 학생선택이 가능한 108개 중에서도 이수단위를 지정한 학교가 41개교(26.1%)로, 총 90개교(57.3%)에서 학생선택의 폭이 제한적이었다.The purpose of this study is to analyze the arts curriculum of high schools in Seoul. Of 188 general high schools, 157 schools, which publically announced the three-year curriculum of 2018 class, were selected. The status of arts curriculum by grade, the number of units of arts curriculum by school, and the opening of arts subjects were analyzed. The results were as follows: There are 78 schools (49.6%) in which the arts curriculum is organized in the first, second, and third grades, and 79 (51.4%) are organized in only one grade or two grades. 49 out of 157 schools (31.2%) organized arts subjects designated by school. Among 108 schools where students are allowed to choose arts subjects, 41 schools (26.1%) fixed the arts credits that students can take. Therefore, of 157 schools, 90 schools have limitation for students in selecting the arts subjects.
GAMMA CAMERA IMAGING OF WATER FLOODING PROCESS IN POROUS MEDIA USING RADIOTRACER

Tc-99m as radiotracer is used to investigate the hydrodynamics of water flooding operation inside the porous media column. Tc-99m is gamma emitter isotope with a half-life of 6 hours and energy of 0.140 MeV (90%). The porous media consists of fine sandstone with a grain size of 850 µm, kerosene as trapped oil and a layer of cement on top of the rig as the bedrock. Gamma camera is arranged next to the porous media in order to capture the movement of radiotracer which has been set to 1 minute per frame. About 1.3 mCi/0.3 ml of Tc-99m is eluted from the Molybdenum generator and injected at the upstream of the porous reactor. After injection, the addition of 3 ml of water is pushed through the system to purge the line from Tc-99m. The gamma camera gives a quantitative determination of local fluid saturations over the area of observation. Besides, Au-198 that emits gamma ray with a half-life of 2.7 days and energy of 0.41 MeV (99%), it is also used to check the compatibility of other radiotracers for water flooding activities. Thus, the objectives are to check the compatibility of radiotracers as well as to provide insights into fluid hydrodynamics (flow visualization) inside the porous media using gamma camera. The study shows that water breakthrough is recorded as 5 μSv/h after 5 minutes of continuous water flooding for and maintain at 20 µSv/h after 15 minutes where all tracer is collected at the outlet container. It is proven from this study that Tc-99m is the best water tracer for water flooding activities.
Least-squares calibration method for double-grating interferometers used in measurement of long-focal-length lenses

In this paper, we propose a new calibration method for long-focal-length measurement using a double-grating interferometer. A numerical analysis of the relative error in measurement proves that the main factor affecting accuracy is the angle of inclination between grating grids. Hence, we present a least-squares calibration method using a series of lenses to correct this error. Experiments conducted to demonstrate high precision in wide-range focal length measurement (5–85 m) exhibited an error lower than 0.1% and a repeatability better than 0.03%.
A Logical Semantics for PDDL

PDDL+ is an extension of PDDL2.1 which incorporates fully-featured autonomous processes and allows for better modelling of mixed discrete-continuous domains. Unlike PDDL2.1, PDDL+ lacks a logical semantics, relying instead on state-transitional semantics enriched with hybrid automata semantics for the continuous states. This complex semantics makes analysis and comparisons to other action formalisms difficult. In this paper, we propose a natural extension of Reiter’s situation calculus theories inspired by hybrid automata. The kinship between PDDL+ and hybrid automata allows us to develop a direct mapping between PDDL+ and situation calculus, thereby supplying PDDL+ with a logical semantics and the situation calculus with a modern way of representing autonomous processes. We outline the potential benefits of the mapping by suggesting a new approach to effective planning in PDDL+.
Lexical Accuracy and Reaction Time in Second Language Reading Proficiency in Indonesia

This article examines the degree to which lexical performance as reflected in accuracy and response time contributes to the L2 reading proficiency. The use of response time as proficiency indicator has been much neglected in L2 reading research. This study argues that lexical response time and lexi
The Multi-scale Fast Network For Image Super-resolution

Single image super resolution (SISR), in recent years, has made great progress. By studying the existing image super-resolution algorithm, we find that the existing algorithm has a disadvantage, that is, the network is very deep and the training is too difficult. In order to solve this problem, we have improved based on EDSR and proposed a multi-scale fast network model for image super-resolution (MFSR). The network consists of multi-level feature extraction (MLFE), multi-scale feature fusion (MSFF), and upsampling reconstruction. The network can fully extract input image features with reducing network depth. MFSR improves the difficulty of training existing networks. Experiments show that our network has achieved good performance.
On Fitting Complex Models to Noisy Data

Deep learning has been remarkably successful at solving certain problems; for other problems, however, its success has been much more limited.A generic explanation for this phenomenon is as follows: if the model we use to fit the data is not complex enough for the underlying signal, we will never fully catch it, even without any noise in the data; if the model is more complex than necessary, we can recover the signal only when there is little to no noise in the data; with a noisy data set, our ability to recover the signal deteriorates as we use more and more complex models.
Politeness Strategies in Students' Interaction

This research was aimed to describe the expression that the students used in talking to others to show their politeness in doing discussion in the classroom, but not in learning environment. The researcher applied descriptive qualitative method and used recording as the only instrument. The participant of this research was the second grade student of Senior High School in SMAN 5 Barru which consisted of 21 students. The result of this research showed that there were many factors influencing the students’ politeness in communication such as situation, status, age, culture, gender, and so on. And there were two common ways that the students used in expressing their politeness which was questioning and commanding.