Reviewerly/exHarmony huggingface dataset:
DEVELOPING BILINGUAL PICTURE BOOKS MEDIA AS A TOOL OF LITERARY APPRECIATION AT GRADE IV OF ELEMENTARY SCHOOL

This study aim ed to find out the develop ment of bilingual picture book media as a tool of literary appreciation at grade IV of elementary school, to determine the feasibility of the bilingual picture book, and to find out students’ response to the bilingual picture book media . This research was conducted at SDN Kotasari involving 22 s tudents in class I V - A . 10 students were tested in a limited trial. Th e type of research refer red to the Borg and Gall model modified by Sugiyono. This model consist ed of six stages namely problem analysis, data collection, product design, design validation, design revision and product trial. The instruments used were questionnaires for media validation by lecturers and student questionnaire sheets. Based on the data analysis , several findings were obtained, among others, the quality of the bilingual picture book was categorized as very feasible with a percentage of 8 6 % according to two media experts, very feasible with a percentage of 82.5 % according to two linguists, and 91.5 % according to two material experts. Then, the percentage from the s tudent s’ responses was 89 % wit h very good categor y . Thus, it was concluded that bilingual picture book media could be used in learning literary appreciation at grade IV of elementary school.
Gemini2: Generating Keyframe-Oriented Animated Transitions Between Statistical Graphics

Complex animated transitions may be easier to understand when divided into separate, consecutive stages. However, effective staging requires careful attention to both animation semantics and timing parameters. We present Gemini2, a system for creating staged animations from a sequence of chart keyframes. Given only a start state and an end state, Gemini2 can automatically recommend intermediate keyframes for designers to consider. The Gemini2 recommendation engine leverages Gemini, our prior work, and GraphScape to itemize the given complex change into semantic edit operations and to recombine operations into stages with a guided order for clearly conveying the semantics. To evaluate Gemini2's recommendations, we conducted a human-subject study in which participants ranked recommended animations from both Gemini2 and Gemini. We find that Gemini2's animation recommendation ranking is well aligned with subjects' preferences, and Gemini2 can recommend favorable animations that Gemini cannot support.
A Historical Perspective on the Diversity of Explanations for New Classes of Transient and VariableStars

As new classes of transients and variable stars are discovered, and theoretical models are established to work or not to work for a few members of the class, it is often the case that some researchers will make arguments on the basis of Occam's razor that all members of the class must be produced by whichever mechanism first successfully explained one of the objects. It is also frequent that this assumption will be more more implicitly. Retrospective analysis shows rather clearly that this argument fails a large fraction of the time, and in many cases, this search for false consistency has led to more fundamental astrophysical errors, a few of which are quite prominent in the history of astronomy. A corollary of this is that on numerous occasions, theoretical models to explain transients have turned out to be models that describe real (but often not yet discovered) phenomenona other than the ones to which they have first been applied, albeit with minor errors that caused the model to appear to fit to a known phenomenon it did not describe. A set of examples of such events is presented here (some of which will be quite familiar to most astronomers), along with a discussion of why this phenomenon occurs, how it may be manifesting itself at the present time. Some discussion will also be made of why and when survey designs have led to immediate separation of various transient mechanisms, generally by being overpowered in some way relative to what is needed to {\it detect} a new class of objects.
Penerapan QR Code Untuk Media Pelayanan Absensi Mahasiswa AMIK Dian Cipta Cendikia

Attendance is something that must be done by students. In the attendance process, the AMIK Dian Cipta Cendikia College still uses the manual method. Therefore, we need a student attendance system that can collect data and manage data so that it can be done quickly, efficiently and accurately. One of technology developed is QR Code. QR Code is an essential thing because of its ability to store larger data so that it can provide fast and accurate services. One of the things that can be done to support the author in designing an Application of QR Code for Attendance Service Media for student in AMIK Dian Cipta Cendikia is by using the Extreme Programming research method. The purpose of this application is expected to make the attendance process will be more efficient and can be easily monitored by lecturers and by the academic department. The results of this research were in the form of a student attendance application that uses a QR code. It is used as the input media for student attendance based on a local network implemented in order to create an attendance information system that provides convenience for students in the attendance process, reduces fraud committed by students, and facilitates reports when conducting recapitulation.
Analisis dan Implementasi Software Defined Networking (SDN) untuk Automasi Perangkat Jaringan

This study aims to build a network automation infrastructure by implementing a Software Defined Networking (SDN)-based web application to facilitate network administrators in implementing a web-based controller system for network devices by optimizing the configuration, management and operation time of network devices. This research uses action research method. In the action research method, researchers can describe, interpret and explain a condition at the same time as carrying out interventions aimed at improvement or participation. The results of this study indicate that the design and implementation of a Software Defined Networking (SDN)-based web application for network device automation using the python programming language with the paramiko library and the django framework can be applied to network infrastructure, so that with the application of SDN on network device automation applications can perform controllers. centralized network devices, so that configurations of many routers can be optimally carried out on a single Software Defined Networking (SDN) based web application
PEDAGOGICAL AND PSYCHOLOGICAL FEATURES OF THE DEVELOPMENT OF STUDENTS' PROFESSIONAL AUDITORY ABILITIES THROUGH INFORMATION AND EDUCATIONAL RESOURCES

The article shows the pedagogical and psychological features of the development of students' professional auditory abilities through information and educational resources, the use of these features in the educational process and the importance of increasing the effectiveness of speech.
Peningkatan pemahaman guru tentang pengamanan data ajar melalui pelatihan online di SMPN I Karangwelas

The importance of securing data is something that most Indonesian teachers ignore. In addition, their inability to secure data is also a factor supporting the failure to secure data. Allowing access to their personal computers to be known and the loss of data due to viruses is often experienced by teachers at SMPN 1 Karanglewas. For this reason, training is made that is packaged in a teaching data security webinar. This activity aims to grow the understanding and awareness of teachers in securing the teaching data they have. The implementation of this activity uses Google Meet technology, which can be accessed directly through the YouTube channel. The results obtained are the increasing understanding of the teachers seen from the difference in the results of the post-test and pre-test, which reaches 40-80%. In addition, there were also positive responses from the teachers participating in the webinar, which stated that 56% of the participants stated that it was good and 30% was sufficient, and 24% was excellent. The next activity that is expected to be carried out is live class making training and the manufacture of interactive teaching materials.
IMAGE ENCRYPTION FOR SECURE DATA TRANSMISSION BY APPLYING BIT-PLANE MATRIX ROTATION

In this study, we are proposing a new algorithm for image encryption based on bit-plane matrix rotation and two hyper chaotic systems. First, the algorithm decomposes the plain image into eight-bit planes and builds a matrix of three dimensions (3D). The sub-matrix of the 3D bit-plane matrix is then rotated in various directions regulated by a hyper-chaotic system-generated PRNS. Finally, by using another main stream, the pixel values of the intermediate image are changed. In addition, the MD5 hash function of the plain-image, which improves the connection between the encryption method and the plain-image, provides the initial diffusion values and parameters relevant to generating chaotic sequences. In terms of key space, histogram, information entropy, key sensitivity and adjacent pixel correlation index, simulation experiments are presented to analyze the image encryption scheme. Theoretical research and experimental results show that the algorithm proposed has outstanding performance and a sufficient level of protection.
The Use of English Words and Sentences in Japanese Anime Songs (Code Mixing and Language Switching in Japanese Anime Songs)

As the popularity of Japanese Anime increases over time around the world, many anime fans would have realized a unique tendency in the theme songs of their favorite series: the tendency to mix or replace Japanese song lyrics with English words or sentences. The research surrounding the phenomenon of English words usage inside Japanese song lyrics has been done numerous times by numerous persons from different country, institution and generation prior to this article. And thus, this article is written in order to take part in those researches by means of comparing anime theme songs from different ages, the 80s, the 90s and 2000 and above. The purpose is to compare the frequency and tendency of mixing or replacing Japanese lyrics with English words or sentences.
Q-error Bounds of Random Uniform Sampling for Cardinality Estimation

Random uniform sampling has been studied in various statistical tasks but few of them have covered the Q-error metric for cardinality estimation (CE). In this paper, we analyze the confidence intervals of random uniform sampling with and without replacement for single-table CE. Results indicate that the upper Q-error bound depends on the sample size and true cardinality. Our bound gives a rule-of-thumb for how large a sample should be kept for single-table CE.
CORRELATION OF VOCABULARY MASTERY TOWARDS STUDENTS’ SPEAKING SKILL

Communication is a significant skill for students to be mastered because it is related to their skills in producing sounds and expressing their opinions using linguistics and sociolinguistics competences. To improve speaking skill, the students should have good knowledge and understanding of vocabularies that they could use to build words and sentences based on the language contexts. This research conducted to find out whether there is a correlation between students’ vocabulary mastery and students’ speaking skills, and the method used is descriptive quantitative using the statistic analysis SPSS 20. The participant of this research is ten grade students of SMK MANBAUL KHAIR in the first semester 2019/2020 academic year. The research finds that there is a positive correlation between the students’ vocabulary mastery and students’ speaking skills. Although the correlation is low, calculated r = 0.394, it is still considered that this correlation is positive, that means teachers should give the students related meaningful materials to build their vocabularies and provide the opportunity for the students to practice using their new vocabularies.
Pemodelan Seasonal Autoregressive Integrated Moving Average Untuk Memprediksi Jumlah Kasus Covid-19 di Padang

Padang city has been in the red zone (high risk) and orange zone (medium risk) against the transmission of the Covid-19 virus for several months. This is due to the lack of community discipline in complying with health protocols. The existence of the Andalas University Hospital Laboratory in Padang City which has the tools to issue the SWAB test results also results in data being obtained very quickly and data collection is more accurate. To predict the number of new cases of Covid-19 patients, research on forecasting is necessary. One method that can be used is the Seasonal Autoregressive Integrated Moving Average method or abbreviated as SARIMA. This method was chosen because the data shows a weekly seasonal pattern. The data used are daily data from 2 August 2020 to 6 January 2021 obtained from the Padang City Health Office . The results showed that the SARIMA (0,1,1) (0,1,1) 7 model is the best model with parameter estimates that are significantly different from zero, so that it fulfills the white noise assumption with a Means Squared Error value of 3.46731. Forecasting results for the next month show that cases of Covid-19 patients are still fluctuating, ranging from 20 to 66 people. For this reason, efforts from the local government of the City of Padang are needed in disciplining the community so that the conditions of Padang City can immediately turn into a green (safe) zone from Covid-19.
Advertisement Detection in broadcasted videos using Transfer Learning and Support Vector Machine

Deep learning using convolutional neural networks is emerged as the best approach for object detection. Performance of convolutional neural network depends on its architecture as well as large dataset for training. To train the model with small dataset and get most accurate results we have adopted transfer learning approach. We have used Alexnet model to train on dataset consisting of keyframes of news and advertisement frames obtained from news video of DD Girnar, ETV Gujarati, TV9 news, Sandesh channels. Using learned weights of well-defined network trained on very large dataset, proposed work achieved very good results in related tasks by adding new dataset in training. To achieve good results, experiments were performed on different models with different layers to generate final results. In this paper, experiments performed with pretrained Alexnet model for training as well as classification is presented with the results obtained. To achieve better accuracy without compromising training time, another transfer learning approach with Alexnet as feature extractor and SVM as a classifier is proposed. To classify images, Support Vector Machine along with Bayesian optimizer is used to improve classification performance. Proposed approach gives 99.2 percent accuracy on the dataset of news video.
Stream Analytics Anomaly Detection

The need to process big data real-time streams is becoming an increasing need for many businesses. Customers in numerous industries are seeking to harness the power of real-time big data to unlock valuable insights. They are seeking an easy-to-use, flexible, reliable, and scalable solution to process and transform streams of real-time data for their IoT projects. Additionally, along with these big real-time data streams come anomalies in the data. Customers in a variety of industries are interested in the concept of real-time anomaly detection using machine learning algorithms and operators.
Multi-Robot Path Planning in Complex Environments via Graph Embedding

We propose an approach to solve multi-agent path planning (MPP) problems for complex environments. Our method first designs a special pebble graph with a set of feasibility constraints, under which MPP problems have feasibility guarantee. We further propose an algorithm to greedily improve the optimality of planned MPP solutions via parallel pebble motions. As a second step, we develop a mesh optimization algorithm to embed our pebble graph into arbitrarily complex environments. We show that the feasibility constraints of a pebble graph can be converted into differentiable geometric constraints, such that our mesh optimizer can satisfy these constraints via constrained numerical optimization. We have evaluated the effectiveness and efficiency of our method using a set of environments with complex geometries, on which our method achieves an average of 99.0% free-space coverage and 30.3% robot density within hours of computation on a desktop machine.
Konsentrasi Belajar pada Anak Sekolah Dasar dapat di Pengaruhi oleh Sarapan Pagi dan Status Gizi

Introduction: Concentration in learning is still often a problem experienced by school children. Factors that affect one of them is breakfast and nutritional status. .Objective: This study aims to find out the relationship of learning concentration with breakfast and nutritional status in elementary school children.Method: The design of this study uses quantitative with Cross Sectional approach. The population of this study was all elementary school children in grades VI and V. Samples in this study used total sampling with a total of 103 respondents. This research instrument uses instruments modified by researchers that have been conducted validity and reliability tests. This study used Chi Square.Result: School children who do breakfast are 62 (60.2%), school children whose normal nutritional status is 88 (85.4%), and school children whose concentration of learning is 60 (58.3%). Statistical test results obtained the value P Value = 0.000 < α (0.05), and the value P Value = 0.441.Conclusion : There is a relationship between breakfast and concentration of learning in elementary school children, and there is no relationship between nutritional status and concentration of learning in elementary school children.
Strategi Pengembangan Koleksi Reyog Corner Perpustakaan Universitas Muhammadiyah Ponorogo

&lt;p&gt;Introduction: Library collection development is a routine activity and must be carried out by all libraries. Even though it has become a routine activity, it is not uncommon for this activity to become difficult to do, as was the case with the Muhammadiyah University of Ponorogo Library which experienced difficulties in developing the Reyog Corner collection, a corner or reading corner containing various collections containing about Reyog and Ponorogo Regency. This study aims to determine the strategy carried out by the Muhammadiyah University of Ponorogo Library in developing a collection for that corner. Methodology: This study uses a qualitative method with a descriptive approach in conducting research. Results and Discussion: Based on data analysis and studies conducted, the authors found the results if the obstacles faced in developing collections for Reyog Corner were the lack of library materials containing the study/theme. However, various efforts were made to develop Reyog Corner, including establishing contacts with local governments, direct searches for authors, and independent searches based on subjects through various online shops. Conclusion: The results of this study are expected to be a reference for readers in developing collections in workplace libraries and private libraries, especially collections that have a certain uniqueness.&lt;/p&gt;
It's non-canonical word order that you should use! A corpus approach to avoiding standardized word order in translated French

In this article, through the use of several corpora containing original and translated texts, we investigate the use of non-canonical word order in EN-FR texts translated by students in order to determine whether target language norms are respected. We first provide information on cross-linguistic differences between original English and original French, and then compare these results with the characteristics of students’ translations. Our goal is clearly pedagogical: we aim to use data from electronic corpora to sensitize students to differences between their use of the French language in their translations and original French. This is particularly important because of the latest developments of machine translation, which make it crucial for translators to determine their added value over machine-translated texts; we therefore also analyze a sample of machine-translated texts. We conclude on the importance of respecting target language norms in relation to word order to increase naturalness and translator invisibility.
Coronavirus-driven Zoom's privacy questioned as 'Zoombombing' escalates

New York Attorney General Letitia James sent a letter to Zoom on Monday inquiring about the app's data privacy and security practices.
Dynamic Attention-based Communication-Efficient Federated Learning

Federated learning (FL) offers a solution to train a global machine learning model while still maintaining data privacy, without needing access to data stored locally at the clients. However, FL suffers performance degradation when client data distribution is non-IID, and a longer training duration to combat this degradation may not necessarily be feasible due to communication limitations. To address this challenge, we propose a new adaptive training algorithm $\texttt{AdaFL}$, which comprises two components: (i) an attention-based client selection mechanism for a fairer training scheme among the clients; and (ii) a dynamic fraction method to balance the trade-off between performance stability and communication efficiency. Experimental results show that our $\texttt{AdaFL}$ algorithm outperforms the usual $\texttt{FedAvg}$ algorithm, and can be incorporated to further improve various state-of-the-art FL algorithms, with respect to three aspects: model accuracy, performance stability, and communication efficiency.
한국어 교재에 나타난 문법 교육 내용 변천 연구 -이화여자대학교 언어교육원 교재를 중심으로-

This research is to examine how the Korean grammar is described in Korean language textbooks. Among the textbooks, this research focuses on the textbooks published by Ewha Womans University Ewha Language Center, such as series, series, and series. Regarding to the grammar on the textbooks, we used evaluation aspects of ‘teaching methods used for the textbooks, devices to help learning grammar, grammar’s form and structure, meaning, and usage’ to examine total of 12 textbooks.As a result, series utilized grammar education methods with a focus of having an accuracy with learning grammatic structure and forms. Series of and aim to increase the communicative competence. Hence, after learning about the grammars, combination tasks of speaking, listening, reading, and writing were mainly featured.
THE PLASTIC POTENTIAL OF CERAMICS AND METALS AS AN ENTRY POINT FOR THE DEVELOPMENT OF CONTEMPORARY JEWELLERY CRAFTS

The idea of the research is based on making use of the plastic and metal potentials as raw materials that have a functional and aesthetic role to produce innovative jewelry crafts in their well-known functional framework and inspired by the Islamic heritage by relying on the vocabulary of Islamic decoration as a starting point for the formation and expression of its intellectual content and expressive connotations. In this context, the research aims to produce innovative designs for metal ceramic ornaments with a contemporary vision while preserving the Islamic character by employing the vocabulary of Islamic decoration, as well as strengthening the principle of synthesis between materials and fields as an entry point for innovation in plastic art, and the research followed the descriptive, analytical and applied approach among the most important results that the Islamic identity can be preserved by making metal ceramic jewelry with aesthetic character and formal features inspired by the decorative vocabulary of Islamic art.