Reviewerly/exHarmony huggingface dataset:
장르 중심 문법교육을 위한 인용표현 기술 방안 연구

This study aimed at exploring the usage aspects of Korean language in various genres and describing genre-based grammar, in order to realize the ideas of genre-based grammar education.It was well known that teaching form-centered grammar in a normative way was difficult to help learners in actual situation of their communication. This study suggested that the linguistic features varied for each genre should be described in grammar and utilized in productive teaching and learning activities.Thus, I proposed a method of describing the linguistic features of each genre, by presenting cases of exploring genre variation in quotation expressions using corpus analysis method. The contents of genre-based grammar education described in this way would be used as source knowledges for productive teaching in Korean language education, contributing to expanding the range of learners'' ability to use Korean language.
Research Guides: PBL: The Programmer Who Couldn't Eat: Databases

This guide suggests useful keywords and resources to address learning needs related to The Programmer Who Couldn't Eat case.
Detailed Survey and Discussion on Data and Document Security Concerns in Cloud Computing: Moving from Single cloud to Multi-Clouds

Abstract: Now a days in the aura of digitalization everything is on cloud and everyone is using cloud services, storage, resources and software directly or indirectly. Cloud computing is very vast field in engineering and technology. It has given a new direction to computation and storage services. Now a days a company or institute can use high level of computation power even without investing much fund on the infrastructure and resources with the help of cloud computing. In this paper we will survey and discuss most important concern of cloud computing that is security and availability of services provided by cloud.  The confidential details saved for consumers in the cloud considers security to be one of the most crucial facets of the cloud storage world. Users are wondering whether hostile inmates and externals, or collateral harm to their cloud systems, are targeting credibility and the availability of data on the cloud Model. These problems are incredibly important, but security research in cloud storage still has plenty of space. Instead of utilizing single cloud services providers, it suggests and conclude that use of Multi-cloud DB Model (MCDB) is better with respect to security and availability.
Improving Speaking Skill Through Short Dialogue Memorization Technique

A b s tract The objective of this research is to investigate whether or not the implementation of Short Dialogue Memorization Technique can improve students speaking skill. The research employed quasi experimental design where the population was the eighth grade students at SMP Negeri 2 Palu. The sample was selected by using purposive sampling technique in which the students of class VIII A (20 students) was assigned as control class and class VIII C (20 students) as the experimental class. Both of the classes were pre-and post tested prior to and after the treatment. The results of the pre-and the post tests’ mean score of the experimental class are 43.33 and 66.66 and the control class are 44.16 and 52.50 successively. The results of the tests were analyzed statistically by using t-test formula where the degree of freedom (df) is38 and the level of significance is 0.05. The results reveal that the value of the t-counted is 2.21and the value of the t-table is 1.687. The results of the analysis show that the value of the t-counted is higher than the value of the t-table and therefore the hypothesis is accepted. It implies that the use of Dialogue Memorization Technique is effective to improve speaking skill of the eighth grade students at SMP Negeri 2 Palu. Keywords: Short Dialogue Memorization Technique; Speaking Skill; Fluency; Comprehensibility Abstrak Penelitian ini bertujuan untuk membuktikan apakah penerapan teknik Short Dialogue Memorization dapat meningkatkan kemampuan berbicara siswa. Peneliti menggunakan rancangan penelitian quasi experimental . Populasi penelitian ini adalah siswa kelas VIII di SMP Negeri 2 Palu. Sampel penelitian diseleksi menggunakan teknik purposive sampling dimana Kelas VIII A (20 siswa) sebagai kelas kontrol dan VIII C (20 siswa) sebagai kelas experimen. Kedua kelas diberikan pretes sebelum perlakuan dan posttes sesudah perlakuan. Skor rat-rata pretes dan posttes kelas experimental adalah 43.33 dan 66.66 dan skorrata-rata kelas control adalah 44.16 dan 52.50. Data hasil pretes dan postes dianalisa secara statistik menggunakan t-test formula dengan derajat kebebasan (df) 38 serta tingkat siginifikansi 0.05. Hasil analisis menunjukkan bahwa nilai t-hitung 2,21 lebih tinggi dari nilai t-tabel 1.678. Hasil analisis data menunjukkan bahwa hipotesa penelitian diterima. Hal ini membuktikan bahwa penerapan teknik Short Dialogue Memorization efektif meningkatkan kemampuan berbicara pada siswa kelas VIII SMP Negeri 2 Palu. Kata Kunci: Short Dialogue Memorization Technique; Keterampilan Berbicara; Kelancaran;
Uncovering Main Causalities for Long-tailed Information Extraction

Information Extraction (IE) aims to extract structural information from unstructured texts. In practice, long-tailed distributions caused by the selection bias of a dataset, may lead to incorrect correlations, also known as spurious correlations, between entities and labels in the conventional likelihood models. This motivates us to propose counterfactual IE (CFIE), a novel framework that aims to uncover the main causalities behind data in the view of causal inference. Specifically, 1) we first introduce a unified structural causal model (SCM) for various IE tasks, describing the relationships among variables; 2) with our SCM, we then generate counterfactuals based on an explicit language structure to better calculate the direct causal effect during the inference stage; 3) we further propose a novel debiasing approach to yield more robust predictions. Experiments on three IE tasks across five public datasets show the effectiveness of our CFIE model in mitigating the spurious correlation issues.
SoTL: One Approach to Rule them All

Since there is still no agreement within the sector in terms of a SoTL definition or framework. I am pondering a potential way to think about categorising the different types of SoTL.
PENINGKATAN KUALITAS CITRA MRI SCAN DENGAN MENGGUNAKAN METODE GAUSSIAN FILTER

In the development of increasingly sophisticated technology, today has created an imaging diagnostic technique using ultra-sound Magnetic Resonance Imaging (MRI). The resulting image still has Gaussian noise, so the result is not perfect yet. The result of a Gaussian noise Magnetic Resonance Imaging (MRI) will improve the image quality. As the current technological developments the problem will be solved by utilizing the Gaussian filter method is very good for eliminating the normal spread noise, which is widely found in digital process image spreads using the camera because it is a natural phenomenon due to the reflection nature of the light and sensitivity of the light sensor on the camera it self.
Intelligent Data Model for Arabic Morphology - MorphoScript Language

In this paper, we propose a specific formalism for Arabic morphology modeling. This being too complex to model exhaustively with classical approaches, it was therefore necessary to find out an adequate representation formalism. We designed, thus, a declarative object-oriented language, referenced to us: MorphoScript, which allowed us to optimally represent the whole morphological knowledge that we could identify. The study that we are presenting here aims to propose an adequate data model of natural language morphological components and composition rules. We will thus present the basic elements and the theoretical and technical foundations of a language reproducing and assisting a morphological analysis process, as well as the principles that guided the conception of this data model fully based on class concepts. It is therefore an object-oriented language using inheritance as a basic support to define the morphological links between the different morphological classes. We have also used aggregation concepts as well as an annotation indexing system allowing the morphological designer a better representation of morphological knowledge.
WEB APPLICATIONS DASHBOARD AS A TOOL FOR DATA VISUALIZATION USING CLOUD DATA SERVERS

Working spot of a person that oversees information investigation and information handling can affect one individual or an entire group. The instruments that can mama e their work simpler, diminish the work hours and at last decrease the quantity of individuals required in the group are dashboards of web applications. With the assistance of dashboards one can oversee, break down and outwardly screen their key measurements identified with their business or to a person. There is no all-inclusive dashboard to suit each type of business. Similarly, there is no widespread interface that can be proclaimed as the lone appropriate answer for all organizations, in this manner various dashboards are being created in various interfaces. People or groups are the clients of dashboards. There are various dashboard layouts for site interfaces that can assist engineers with making their own dashboards for open information all the more effectively and rapidly. The point of the paper is to break down and assess different dashboard layouts as indicated by the characterized measures to exhibit which format is the most proper for a specific area and field of work. It is normal that the outcomes will assist engineers with the decision of a dashboard layout for their new ventures. This paper gives essential rules with respect to responsive website composition and a portion of the systems that can be utilized to assemble a responsive website composition page. It likewise momentarily portrays the CSS Grid. Besides, it'll dissect the graduated alumni dashboard format made inside four unique frameworks and CSS Grid. They were investigated with five given rules the 5 second standard, the reversed pyramid, information perception, toning it down would be ideal and intuitive components. The outcomes would underscore the formats made inside bootstrap and Semantic I since they were not assessed by any basis with a score under 4 out of 5.
DIAGNOSTIC OF THE DEVELOPMENT OF ARTISTIC INTEREST IN PUPILS TO WORKS OF CIVIL-PATRIOTIC ART

The development of artistic interest in works related to images and plots of manifestation of patriotism and civic consciousness is one of the topical areas of educational work at school. The development of diagnostic tools is necessary to monitor this process, and is also important as a guide for the modern teacher in assessing creative work and research projects in art lessons and extracurricular activities. The purpose of the article is to theoretically substantiate the criteria, indicators, types of creative tasks for diagnosing the development of students’ artistic interest in works of art of a civil-patriotic orientation. The theoretical basis of the research is the provisions on interest as a form of manifestation of cognitive need, characterized by a high degree of awareness, subject orientation; research on artistic interest as a certain stage in the development of artistic perception, methodological developments in diagnosing the development of students’ artistic interest as a value-semantic selective attitude to artistic phenomena. Scientific novelty consists in clarifying the structure of artistic interest in works of art of a civil-patriotic orientation and determining on this basis the criteria and indicators of the development of this process. The practical significance of the study lies in the development and description of different types of diagnostic tasks in accordance with the selected criteria. The authors describes the following types of diagnostic tasks: according to the emotional-motivational criterion – tasks that reveal the ability of schoolchildren to emotionally perceive works of art and verbally express their impressions; according to the figurative-meaningful criterion – tasks to identify in students factual knowledge about historical events and outstanding figures embodied in the images of art, as well as possession of special terminology in the field of various types of art, ideas about the means of artistic expression; according to the activity-reflexive criterion – tasks of a co-creative type associated with the interpretation of the content of a work of art, expressing one’s position regarding its idea, interpreting the images of its heroes, reasoning about accepting or rejecting the authors’ position.
A Case Study on Design Factors Influencing Elementary School Students' Flow to Educational Games

Lower grade children begin to use educational game content on their own, without being familiar with the computer and gaming environment. Lower grade children are not familiar with the computer and gaming environment unlike upper grades, adolescents, and adults. A special UX design is needed to consider the cognitive and perceptual traits of the age. The purpose of this study is to analyze the factors of design side affecting the flow of educational games for lower grade students. As an analysis example, EBSmath educational game was selected. After reviewing the literature and summarizing the design-related variables that influence the flow in the media use process, in-depth interviews were conducted using the game directly. As a result of the study, the design factors affecting the user's flow are the learning achievement, attractiveness (indirect experience, sight, hearing, feeling of operation) and interactivity. Appropriate design is needed based on specific research on children's experiences, knowledge, understanding and preferences. The study has a practical meaning that can be used as a very specific design guide by collecting direct responses, expressions, and improvement requirements of immature users.
Inducing Inference Relations from Inconsistency Measures

This article defines a family of inference relations which aim at reasoning with inconsistent knowledge bases. These inference relations are defined out of inconsistency measures. We check under which conditions the new inference relations satisfy a series of properties for nonmonotonic reasoning. We also show that they are paraconsistent when the corresponding inconsistency measures satisfy some rationality postulates. Besides, we show some dependencies and incompatibilities among some rationality postulates.
Insights from the Intersection of Logic and Probabilistic Reasoning

Author(s): Friedman, Tal | Advisor(s): Van den Broeck, Guy | Abstract: Logic and uncertainty form two of the primary pillars of modern artificial intelligence. Seeking to draw insights about what can be gained by understanding both, we explore different contexts where both are crucial. First, we use logical circuits as our underlying machinery, developing a hybrid circuit sampling technique for approximate probabilistic inference, as well as an axiomatized method for enforcing logical constraints when learning a deep neural network. We then explore modifying probabilistic databases, incorporating schema level constraints to overcome lack of data, as well as demonstrating how and why to directly incorporate them with relational machine learning techniques for free efficient inference on well tuned models.
QUANTUM COMPUTING - A NEW WORLD OF COMPUTERS

ABSTRACT: Can our computers be faster than existing classical computers? Can computers  offer faster speeds for aiding different organizations? Can we expect much faster calculation and processing speed ? The answer goes here is yes. It is possible to use the concepts of quantum mechanics, a branch of physics, with computer science to build a faster system. Thus, we get a quicker manner of computing referred to as Quantum Computing that's primarily based totally on precept of physics and computing technology. Quantum computing is a new and interesting discipline on the intersection of mathematics, computer technology and physics. It uses quantum mechanics to enhance the performance of computation. Here we present a number of the thoughts in quantum computing. The paper starts with the aid of using motivating the valuable concepts of quantum mechanics and quantum computation. This discipline continues to be improving and has massive potential.
E-Training Modeling Sistem Pada Balai Latihan Kerja Menggunakan Metode Zachman Framework

UPTD Sukabumi District Vocational Training Center is a government agency that functions as a training ground for people who want to deepen their expertise in their respective fields. Currently, information services about the training of the UPTD at the Sukabumi District Vocational Training Center have not been presented optimally. Training information in the form of vocational training, training instructors and other data still uses social media such as Facebook to inform services to the public. This becomes a problem because it is less efficient in conveying information and is not comprehensive. This study aims to optimize information services about the training of the UPTD Work Training Center in Sukabumi Regency. To achieve this optimization, a job training information system is needed to make it easier to present training information. This research focuses on training information services that provide convenience in providing information about the vocational openings, training schedule, participant quota and other information related to the UPTD training at the Sukabumi District Vocational Training Center. The approach in this study uses the Zachman Framework approach which was developed using the PHP 7 programming language and MySQL database. The result of this research is a website-based job training information system design.
STRATEGY AT THE ELEVENTH GRADE OF SMK PERSADA BANDAR LAMPUNG IN THE ACADEMIC YEAR 2020/2021

The study applied Classroom Action Research method. The object of research improved students’ reading comprehension through Guided Reading Strategy at the second year students of XI TKJ of SMK Persada Bandar Lampung. The subject of research was 26 students  that  were  existed  23 male  and 3  female.  The  collecting  data of research  was reading test, field note, and observation sheet. The steps of research were held in two cycles that were consisted of planning, action, observation, and reflection. The improvement of students’ reading comprehension was presented in table of mean score of pre-test, reading test I, and reading test II. The evaluation of test was analyzed after completing meetings of each cycle. Result research showed that implementing Guided Reading strategy effectively increased students’ reading comprehension. There were almost students got good criteria or achieved the score ≥77. Increasing of students’ reading comprehension was affected some factors that were many references, Guided Reading strategy, and teacher’s action towards the students.
Computer Sound Design

The principles of sound design within a computational context are demonstrated through a series of examples and techniques. These include additive synthesis, which is the focus of the earlier part of the chapter, and is followed by source-modifier methods, which are complementary to it. The more advanced approaches of granular synthesis and streaming spectral processing complement the discussion, which is fully illustrated with code examples and spectrogram figures. The chapter concludes with an overview of design approaches.
Efficient CCA Timed Commitments in Class Groups.

Timed commitments [Boneh and Naor, CRYPTO 2000] are the timed analogue of standard commitments, where the commitment can be non-interactively opened after a pre-specified amount of time passes. Timed commitments have a large spectrum of applications, such as sealed bid auctions, fair contract signing, fair multi-party computation, and cryptocurrency payments. Unfortunately, all practical constructions rely on a (private-coin) trusted setup and do not scale well with the number of participants. These are two severe limiting factors that have hindered the widespread adoption of this primitive. In this work, we set out to resolve these two issues and propose an efficient timed commitment scheme that also satisfies the strong notion of CCA-security. Specifically, our scheme has a transparent (i.e. public-coin) one-time setup and the amount of sequential computation is essentially independent of the number of participants. As a key technical ingredient, we propose the first (linearly) homomorphic time-lock puzzle with a transparent setup, from class groups of imaginary quadratic order. To demonstrate the applicability of our scheme, we use it to construct a new distributed randomness generation protocol, where n parties jointly sample a random string. Our protocol is the first to simultaneously achieve (1) high scalability in the number of participants, (2) transparent one-time setup, (3) lightning speed in the optimistic case where all parties are honest, and (4) ensure that the output random string is unpredictable and unbiased, even when the adversary corrupts $n-1$ parties. To substantiate the practicality of our approach, we implemented our protocol and our experimental evaluation shows that it is fast enough to be used in practice. We also evaluated a heuristic version of the protocol that is at least 3 orders of magnitude more efficient both in terms of communication size and computation time. This makes the protocol suitable for supporting hundreds of participants.
Pengujian Validitas Media Pembelajaran Berbasis Android Pada Mata Pelajaran Adminitrasi Server Jaringan (ASJ)

This research was motivated by the problem of limited learning resources at SMKN 3 Padang. This research and development aims to produce a product in the form of Android-Based Learning Media at SMK N 3 Padang and to test the validity for the feasibility of the learning media product. This research uses research and development ((R&amp;D) methods. This research method uses analysis (ADDIE Model), with the design and development steps as follows: Analysis (analysis), Design (design), Develop(development), Implementation (implementation ) and Evaluation (evaluation). for testing the validity of this study is at the Develop stage by using three validators as experts for the feasibility of Android-based learning media on ASJ subjects. The results of validity testing by experts. Learning based on Android is 80.00%, so the level of validity can be interpreted to be very valid to use. Based on the assessment and expert input and the results of field trials of Android-based learning media, it has been tested for feasibility, excellence, and can be used in the learning process at SMK N 3 Padang .
A 3-D detection method of moving traffic loads based on the stereo vision

&lt;p&gt;Vehicle tracking based on computer vision is an important part of traffic load monitoring. The stable and reliable vehicle detection is the primary task of vehicle tracking. The widely used 2-D detection works accurately in simple situation but faces obstacles in dealing with multi-vehicle overlap. Therefore, this paper proposes a 3-D detection method of vehicles based on the stereo vision, which can position accurately the vehicles partly covered in the image to keep a continuous vehicle tracking. This method builds spatial relations between observed objects such as wheels and the feature points on the vehicle. With spatial relations determined, when the observed objects of the vehicle are partly covered by other objects, their positions can be inferred accurately from the visible feature points of the vehicle. Experiments were taken to verify the effectiveness of the proposed method.&lt;/p&gt;