Reviewerly/exHarmony huggingface dataset:
The Implementation of Digital Literacy in EFL Learning: A Case Study in SMP Muhammadiyah 1 Temanggung

As technology continues to grow rapidly, there is an explosive development in digital tools and million pieces of information. Digital literacy, a new concept of literacy has offered to process the information in meaningful ways. Educators have struggled to integrate digital literacy to raise students’ literacy skill across languages. Thus, there is an increasing expectation and demand for English teachers to present digital literacy in the classroom. A major study has studied the implementation of digital literacy in an urban school with high-advanced technology facility. Therefore, an effort to investigate the practice of digital literacy in suburban school is pressingly needed. The study was conducted to reach four aims: (1) to investigate the implementation of digital literacy in SMP Muhammadiyah 1 Temanggung; (2) to identify teachers’ attitude in practicing digital literacy, (3) to explore the challenges, and (4) how to cope with them. This article involved two EFL teachers who were regarded as millennial teachers and capable to utilize technology. A qualitative research was used to explore the real practice of digital literacy. The excerpt were obtained through a semi structured interview and classroom observation. The result indicated that computer and smartphone were used as digital devices. In practicing them, teachers showed positive attitudes by considering the syllabus as a core, understanding a teacher’s position, developing effective learning, using multiple literacy and enhancing the four language skills. Meanwhile lack of technology, students’ background, lack of time and limited budgeting are considered as obstacles in implementing digital literacy. Thus, as a strategy, teacher set an early preparation and backing up plan to cope with these challenges. Finally, this article has implications to improve the technological facility, technological pedagogy among teachers, and suggest the policy makers to give more consideration toward digital literacy.
Diversifying Database Activity Monitoring with Bandits

Database activity monitoring (DAM) systems are commonly used by organizations to protect the organizational data, knowledge and intellectual properties. In order to protect organizations database DAM systems have two main roles, monitoring (documenting activity) and alerting to anomalous activity. Due to high-velocity streams and operating costs, such systems are restricted to examining only a sample of the activity. Current solutions use policies, manually crafted by experts, to decide which transactions to monitor and log. This limits the diversity of the data collected. Bandit algorithms, which use reward functions as the basis for optimization while adding diversity to the recommended set, have gained increased attention in recommendation systems for improving diversity. In this work, we redefine the data sampling problem as a special case of the multi-armed bandit (MAB) problem and present a novel algorithm, which combines expert knowledge with random exploration. We analyze the effect of diversity on coverage and downstream event detection tasks using a simulated dataset. In doing so, we find that adding diversity to the sampling using the bandit-based approach works well for this task and maximizing population coverage without decreasing the quality in terms of issuing alerts about events.
Opportunities and Challenges Faced by College Modernization Teaching from the Perspective of Digital Economy

The digital economy with ICT as the core has a certain impetus to all aspects of society.The modernization education of "Internet + education" under the background of digital economy is the product of the development of educational technology to the stage of information technology, opening up a new era of modernization online education.Modernization teaching is a combination of technology and education, using technology to optimize education.As a modernization form of teaching that combines information and education, it fully embodies the characteristics of the Internet and the characteristics of the digital economy.This characteristic makes the modernization teaching of colleges and universities in the perspective of digital economy face both opportunities and certain challenges.
The Effects of Using Interactive Task-based Activities in Online Eng-lish Writing Classes

This quantitative and qualitative study aims to scrutinize the effectiveness of utilizing interactive task-based activities to teach English writing in Bethlehem Secondary School for Girls. The experiment was conducted at the second semester of the academic year 2016/2017. Two scientific sections from the 11th grade participated in the study; section B was the control group and section C was the experimental one. The former group practiced writing traditionally. The students in the latter group were enrolled in two online platforms, “Facebook” and “PBworks”, to practice the target skill electronically. A questionnaire, pre/posttests, online platforms, a text content analyzer tool and self-reports were administered to investigate the participants’ achievement and attitudes. With regard to the writing skill, the results indicated that the experimental group outperformed the control one. Also, the former manifested more positive attitudes towards e-learning than the other one.
The Implementation of Spelling Bee Game to Improve the Students’ Pronunciation at Seventh Grade of MTs Muhammadiyah 29 Stabat

The aim of this research was to find out the improving students’ pronunciation by using spelling bee game. The subject of this research was seventh grade of MTs Muhammadiyah 29 Stabat 2018-2019 academic year. It was consisted of one class and 20 students as respondents. The technique of analyzing data was applied by using qualitative and quantitative approach. The quantitative data were taken from the test. The qualitative data were taken from interview, observation, and documentation. Data were taken from the result which was carried out in two cycles and two cycles conducted in four meetings. The test were given to the students in pre-test, post-test I and post-test II. The result of analyzing the data showed that there was improving on the student’s pronunciation from each cycles. It showed with the mean of pre-test score was 50,05. Where, there were 1 student got successfull score criteria or it was only 5% and 19 students’ got unsuccessful or it was 95%. After doing cycle I by using spelling bee game, there was an improving of the result of the students’ mean was 61,05. Where, 9 students got successful criteria score or it was only 45% and 11 students’ got unseccessful criteria score or it was 55%. Then doing repairing for second cycle after reflection on the first cycle, there was improving of students’ mean was 81,15. Where, 16 students’ got successful criteria score or it was 80% and 4 students’ got unsuccessful criteria score or it was 20%. In other words, it could be concluded that the use of spelling bee game improved the students’ pronunciation and their interest in pronunciation.
KEPRIBADIAN TOKOH UTAMA DALAM NOVEL PRAHARA CINTA ALIA KARYA ARIF YS: KAJIAN PSIKOLOGI SASTRA

The purpose of this research to (1) describe the factual structure in the novel Prahara Cinta Alia by Arif YS and (2) describe the personality of the main character in the novel Prahara Cinta Alia by Arif YS. The research uses a qualitative approach with descriptive methods. The research has data in the form of words and quotes, while the data source in the research is the novel Prahara Cinta Alia by Arif YS. Data collection methods and techniques used in reading techniques and recorded techniques using instruments. The data analysis technique used in this study is data reduction, data presentation, and making conclusions. The results of this study refer to the structural elements of the novel which are intrinsic and extrinsic and the personality changes of the main characters in the novel Prahra Cinta Alia by Arif YS.
Control not quantum gate on the states of photon orbital angular momentum

The possibility of effectively creating quantum gates based on orbital angular momentum photon qubits using a Kerr nonlinear medium in a cavity is studied. It is shown how a quantum C-NOT gate can be produced with such qubits through four-wave mixing process. A theory of this gate operation is constructed using an input–output formalism. Parametric matching conditions are obtained for effective gate operation.
Moving Towards Open Set Incremental Learning: Readily Discovering New Authors.

The classification of textual data often yields important information. Most classifiers work in a closed world setting where the classifier is trained on a known corpus, and then it is tested on unseen examples that belong to one of the classes seen during training. Despite the usefulness of this design, often there is a need to classify unseen examples that do not belong to any of the classes on which the classifier was trained. This paper describes the open set scenario where unseen examples from previously unseen classes are handled while testing. This further examines a process of enhanced open set classification with a deep neural network that discovers new classes by clustering the examples identified as belonging to unknown classes, followed by a process of retraining the classifier with newly recognized classes. Through this process the model moves to an incremental learning model where it continuously finds and learns from novel classes of data that have been identified automatically. This paper also develops a new metric that measures multiple attributes of clustering open set data. Multiple experiments across two author attribution data sets demonstrate the creation an incremental model that produces excellent results.
The Effect of a Social Creativity Enhancement Program for Young Children Using Creativity Techniques

본 연구는 창의성 기법을 활용한 사회적 창의 증진 프로그램의 효과를 검증하기 위한 목적 으로, H시에 소재한 국공립 어린이집 2곳의 만 5세 유아 70명에게 개발된 프로그램을 적용하 였다. 연구자는 실험집단(35명)을 대상으로 창의성 기법을 활용한 사회적 창의 증진 프로그램을 8주 동안 16회기 실시하였고, 비교집단은(35명)은 일과진행에 맞춰 자유선택활동이 이루어 졌다. 프로그램의 효과를 알아보기 위하여 창의성과 사회적 의사소통에 관련된, 유아종합창의 성검사(K-CCTYC), 유아사회성기술검사(K-SSRSP), 언어문제해결력검사를 실시하였다. 연구결과, 실험집단이 비교집단보다 창의성의 하위요인(유창성, 융통성, 독창성, 상상력)이 통계적으로 유의미하게 높은 것으로 나타나 창의성이 향상된 것으로 나타났다. 또 사회성 기술(문제해결, 정서표현, 질서의식, 자신감)과 언어 문제해결력(원인이유, 해결추론, 단서추측)이 통계적으로 유의미하게 높은 것으로 나타나 사회적 의사소통이 향상된 것으로 나타났다. 이를 통하여 창의성 기법을 활용한 사회적 창의 증진 프로그램이 유아의 창의성과 사회적 의사소통에 긍정 적인 영향을 미쳤음을 알 수 있었다.The purpose of this study is to verify the effectiveness of the social creativity enhancement program using creativity techniques. To verify the effectiveness of the developed program, this study conducted an experiment on 70 children (35 in the experimental group and 35 in the comparison group) from two national child care centers in City H. The research instruments were creativity and social communication ability using Jeon’s (2000) juvenile comprehensive creativity test, Yun’s (2012) early childhood social skills test, and Bae et al.’s (2000) language problem-solving ability test. The experimental procedure was carried out by the researcher 16 times in total, from July 1 to August 31, 2017. The experimental group implemented the social creativity promotion program using the creativity technique, and the comparison group did free choice activities according to their progress. The study has shown that the creativity of the experimental group was higher than that of the comparison group in the subcomponents of creativity (fluency, flexibility, originality, and imagination) and that the difference was statistically significant. Furthermore, given that differences between the two groups in terms of social skills (problem-solving, emotional expression, public order consciousness, and confidence) and language problem-solving ability (cause-reason, reasoning inference, and clue guessing) were statistically significant, children s social communication skills appeared to improve as a result of the program. This implies that the social creativity enhancement program using the creativity technique had a positive effect on the creativity and social communication of young children.
Exploiting Partial Knowledge in Declarative Domain-Specific Heuristics for ASP.

Domain-specific heuristics are an important technique for solving combinatorial problems efficiently. We propose a novel semantics for declarative specifications of domain-specific heuristics in Answer Set Programming (ASP). Decision procedures that are based on a partial solution are a frequent ingredient of existing domain-specific heuristics, e.g., for placing an item that has not been placed yet in bin packing. Therefore, in our novel semantics negation as failure and aggregates in heuristic conditions are evaluated on a partial solver state. State-of-the-art solvers do not allow such a declarative specification. Our implementation in the lazy-grounding ASP system Alpha supports heuristic directives under this semantics. By that, we also provide the first implementation for incorporating declaratively specified domain-specific heuristics in a lazy-grounding setting. Experiments confirm that the combination of ASP solving with lazy grounding and our novel heuristics can be a vital ingredient for solving industrial-size problems.
An instantaneous polarization phase-shifting interferometric system with stroboscopic illumination by using a photoelastic modulator

We present a phase-shifting interferometric system that uses the photoelastic modulator (PEM) with the stroboscopic illumination technique. The laser diode is controlled by a programmable pulse generator for triggering four short pulses at their specific temporal phase angles of a modulation cycle for phase-shifting operation. Thereby, the intensity variation of the PEM modulated signal can be freezed and the interferograms captured by a charge-coupled device. In this configuration, no mechanical operations are required in phase-shifting by using the stroboscopic illumination technique, and fast interference fringe measurements are possible. We performed experiments to demonstrate the phase map of two static samples and confirmed that the method is applicable to imaging the complex phase distributions of dynamic objects at speed of 2 Hz. The thickness deviation is almost less than 5% for an ultra-thin transparent film.
Multimodal Learning For Classroom Activity Detection

Classroom activity detection (CAD) focuses on accurately classifying whether the teacher or student is speaking and recording both the length of individual utterances during a class. A CAD solution helps teachers get instant feedback on their pedagogical instructions. This greatly improves educators' teaching skills and hence leads to students' achievement. However, CAD is very challenging because (1) the CAD model needs to be generalized well enough for different teachers and students; (2) data from both vocal and language modalities has to be wisely fused so that they can be complementary; and (3) the solution shouldn't heavily rely on additional recording device. In this paper, we address the above challenges by using a novel attention based neural framework. Our framework not only extracts both speech and language information, but utilizes attention mechanism to capture long-term semantic dependence. Our framework is device-free and is able to take any classroom recording as input. The proposed CAD learning framework is evaluated in two real-world education applications. The experimental results demonstrate the benefits of our approach on learning attention based neural network from classroom data with different modalities, and show our approach is able to outperform state-of-the-art baselines in terms of various evaluation metrics.
Positional Attention-based Frame Identification with BERT: A Deep Learning Approach to Target Disambiguation and Semantic Frame Selection

Semantic parsing is the task of transforming sentences from natural language into formal representations of predicate-argument structures. Under this research area, frame-semantic parsing has attracted much interest. This parsing approach leverages the lexical information defined in FrameNet to associate marked predicates or targets with semantic frames, thereby assigning semantic roles to sentence components based on pre-specified frame elements in FrameNet. In this paper, a deep neural network architecture known as Positional Attention-based Frame Identification with BERT (PAFIBERT) is presented as a solution to the frame identification subtask in frame-semantic parsing. Although the importance of this subtask is well-established, prior research has yet to find a robust solution that works satisfactorily for both in-domain and out-of-domain data. This study thus set out to improve frame identification in light of recent advancements of language modeling and transfer learning in natural language processing. The proposed method is partially empowered by BERT, a pre-trained language model that excels at capturing contextual information in texts. By combining the language representation power of BERT with a position-based attention mechanism, PAFIBERT is able to attend to target-specific contexts in sentences for disambiguating targets and associating them with the most suitable semantic frames. Under various experimental settings, PAFIBERT outperformed existing solutions by a significant margin, achieving new state-of-the-art results for both in-domain and out-of-domain benchmark test sets.
Систематизація технологій стиснення зображень у системах поліграфічного репродукування

This work investigate the popular data compression techniques, which can be used to reduce the size of graphic image formats in printing reproduction systems. The modern printing production process is characterized by a high degree of automation and computerization, which is characterized by a large dependence on the productivity and efficiency of the desktop publishing system and the capacity of information exchange networks. Therefore, the use of data compression methods for digital images can reduce the total amount of data for illustrative original and increase the efficiency of the printing reproduction system.The analysis of previous studies on compression technologies for various areas: prepress printing processes, digital photography, video processing, various multimedia and telecommunication technologies. The main generalizations concern the consideration of lossless and lossy methods of data compression, which differ in coding algorithms.Based on the conducted research the systematization of basic image compression technologies in printing reproduction systems has been developed. The present systematization different in the main features: data compression methods, coding algorithms, image classes, compression value and image quality after coding.The basic encoding algorithms for compressing digital images RLE, JBIG, CCITT Group, LZW, Huffman, Wavelet (recursive), fractal and JPEG. The features of the data compression process according to Lossy JPEG (lossy) and Lossless JPEG2000 (lossless) algorithms are analyzed. Possible criteria for determining the efficiency and quality of image compression using various coding algorithms, which can be used for practical comparison of various compression techniques, are defined.
RFC Series Model Process

The RFC Series has come to a crossroads where questions must beanswered regarding how the Series should be managed, the role of theRFC Series Editor, and the oversight of the RFC Editor function. Thisdraft offers a proposal to form a new IAB program called the RFCEditor Future Development Program. This proposal is based on thediscussions held during three virtual meetings in September andOctober 2019, as well as the RSEME session at IETF 106, and requests anew, open IAB program that will drive consensus around any changes tothe RFC Editor model. The program will require extensive communityengagement and outreach to a broad set of stakeholder communities.
Implementasi Semantic Web Rule Language dalam Pemberian Rekomendasi Nutrisi Berbasis Ontologi

The recommendations or guidelines about nutrition are available from a various distinct source on the internet. On the other hand, nutritional information needed by each person is different according to physical condition or personal preferences of each individual. This becomes a bit complicated because every information provider on the internet has a different understanding in giving foodstuff references to certain nutrients. In this study, an ontology in nutrition domain knowledge was used. The ontology represents explicit specification of pregnancy nutrition domain knowledge. The ontology constructed consists of three basic concepts that is Person, Maternal Condition and PrenNutriFood. To support the provision of nutritional recommendation, three definitions were added to ontology that is determining energy estimates per day, determining the percentage of daily value (DV) of food ingredients and determining the claims of nutrient content in foodstuff. In this study, we implemented the Semantic Web Rule Language to formalize those definitions. Inference from each rule is generated through Pellet as an inference engine. Ontology has been successfully managed with rules and finally produce new knowledge containing the recommendations. The results of inference indicate the expansion of knowledge in ontology
Interactive Narrative Authoring Using Cognitive Models in Narrative Planning

My research aims to allow for human authors to collaborate with a computational system to work on narrative generation. This will be done with the help of work done in the domains of narrative understanding, narrative planning and reasoning based on cognitive models. This sort of approach would greatly benefit the enrich growing set of variables of narrative planning.
Methylisothiazolinone and isothiazolinone allergy.

Methylisothiazolinone (MI) is a preservative commonly used in water-based personal care products. Increases in the allowable concentration of MI alone in these products has led to an epidemic of allergic contact dermatitis (ACD). Although personal care products are the most common source of MI contact allergy, other novel exposures include household products, industrial chemicals, paint, slime, and adhesive agents. Other isothiazolinones such as benzisothiazoline (BIT) and octylisothiazolinone (OIT) are uncommon in personal care products but have been found in leather products, glue, industrial chemicals, paints, and cleaning products. There may be cross-reactivity between OIT and MI, and a minority of patients who are allergic to MI are cosensitized to BIT. In this article, we review MI and related isothiazolinone chemicals.
A Few More Steps

Python can also be used interactively, in which case we do not first write a program, store it in a file and then execute it. Rather, we give statements and expressions directly to what is known as a Python shell.
Transgression and its forms in the story "The Monkey Link" by Andrei Bitov

The author proposes the option of reading the story "The Monkey Link" by Andrei Bitov by identifying transgressive transitivity in the structure of the text. In an effort to understand the ambivalent nature of man, Andrei Bitov demonstrates the struggle between two principles, the human and the animal. The victory of the human beginning imposes a number of prohibitions / re-strictions on animal needs, and first of all it is a sexual ban. The system of pro-hibitions becomes a fundamental and organizing force, thanks to which the chaos prevailing in society is replaced by order and stability. The text is based on the detection of liminal states, which can be fixed by successively introducing the image of white jeans, chthonic creatures and mythopoetic space. The situation of impossibility of transition (exit) is typical for the characters of the story, who are doomed to fight-resistance (the narrator hero and Aslan). The analysis showed that the hero is unable to draw clear boundaries between I and IT, because they are in a state of permanent struggle. And only the awareness of inner experience brings the hero closer to the recognition of his own discretion.