Reviewerly/exHarmony huggingface dataset:
ELT Novice Teachers’ Competence for Teaching Speaking Class

This study conducted to describe the competence of novice teacher in speaking class. The method of this research is qualitative methods. The sample of this research used two novice teachers. In collecting data, the researcher uses observation and interview. The researcher did observation with several techniques, the first is joining the class then giving a checklist on the observation paper based on the situation in the class. The researcher recorded the interview data.  The result of this research shows that the competence of novice teacher is good, because she has four teacher competence. The first competence is pedagogic competence because the novice teacher has ability to manage the teaching and learning process. She can make the student to understand what she said in front of the class. The novice teacher can take the action to improve the quality of reflective learning. The second competence is personality competence, she has a wise and stable personality. She has a good personality as a teacher, as measured by indicators show independence in acting as educators and have a work ethic as an educator. The third competence is professional competence, she has the ability of professionals to be possessed teacher in the learning process, because she can be controlling the material, managing learning programs, managing the classroom, using a media source, mastering the foundations of education, and managing the interaction of learning teaching. The last competence is social competence and she is good in this competence too, because she has the ability to communicate, get along in school and society.
LSC-North Harris Library Research Guides: Library Online Learning Modules: Module Videos

This guide is to serve as a menu of instruction modules to meet the information literacy needs LSC-NH online classes. Each module can be embedded into D2L, and takes 5-10 minutes to complete.
LibGuides: Continuity of Learning Services at Sawyer library: Access to E-Textbooks

This guide supports the efforts of University instructors to maintain learning during extended campus disruptions.
A Complete Approach to Loop Verification with Invariants and Summaries.

Loop invariants characterize the partial result computed by a loop so far up to an intermediate state. It has been noted, however, that complementing invariants by summaries, which characterize the remaining iterations of a loop, can often lead to simpler correctness proofs. In this paper, we derive sound verification conditions for this approach, and moreover characterize completeness relative to a class of safe invariants, alongside with fundamental and novel insights in the relation between invariants and summaries. All theoretical results have immediate practical consequences for tool use and construction. Summaries should therefore be regarded as a principal alternative to invariants. To substantiate this claim experimentally, we evaluate the automation potential using state-of-the-art Horn solvers, which shows that the the proposed approach is competitive, even without specialized solving strategies.
PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BIBIT CABAI UNGGUL MENGGUNAKAN METODE FMCDM

ABSTRACT Agriculture is an important factor in Indonesia, one of the promising agricultural sectors is chili farmers. The demand for chilies is getting higher, both for domestic needs and for exports abroad. Chili is widely used as a spice in cooking, various kinds of medicines and so on. The most popular chilies are red chilies. Cultivation carried out by chili farmers in rawang village, rawang panca arga sub-district is planting all kinds of red chilies, and in choosing the chili seeds it is still based on the instincts and feelings of the farmers themselves so that often the chili harvest is not optimal, it is not resistant to pests, yields harvest is not optimal, the harvest age is longer so that maintenance costs increase. With the existing alternatives in the decision support system with the FMCDM method to choose the best chili seeds. Decision Support System is a specific information system that is intended to assist management in making decisions related to semi-structured issues. Fuzzy Multi Criteria Decision Making (FMCDM) is a decision-making method that aims to determine the best alternative decision from a number of alternatives based on certain criteria that will be taken into consideration. From the results of calculations using the software above, the result is that the alternative (A1) gets the largest total integral value compared to the other alternatives. Keywords: Chili Seeds, Decision Support Sistem, Fuzzy Multi Criteria Decision Making
LibGuides: Community Service: a Guide for Teens: Home

Are you a Virginia Beach teen who is interested in giving back to your community? This guide will help you in researching how to choose an organization to work with, starting an independent project and even a list of well established community partners!
Niero, A. (2019). Tradurre poesia russa. Analisi e autoanalisi. Macerata: Quodlibet. (In Italian)

The review offers an in-depth look at the new monograph by the renowned Slavicist and translator Alessandro Niero, describing its structure, the historical principle of organizing the material, and the combination of theory and detailed examples from translation practice. In his attempt to create a history of translations of Russian poetry in Italy, Niero begins by examining translations of A. Pushkin's poem Eugene Onegin and concludes with examples from translations of D. Prigov's poetry. At the same time, the monograph dwells on talented translators of Russian poetry, such as Ettore Lo Gatto, Renato Poggioli, Angelo Maria Ripellino, and Giovanni Buttafava, and provides a summary of the modern state of translation and perception of Russian poetry in Italy. The monograph will be particularly interesting to specialists in translation, scholars of poetry, historians of Russian poetry and its reception abroad.
A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix.

With the sophisticated modern technology in the camera industry, the demand for accurate and visually pleasing images is increasing. However, the quality of images captured by cameras are inevitably degraded by noise. Thus, some processing on images is required to filter out the noise without losing vital image features such as edges, corners, etc. Even though the current literature offers a variety of denoising methods, fidelity and efficiency of their denoising are sometimes uncertain. Thus, here we propose a novel and computationally efficient image denoising method that is capable of producing an accurate output. This method inputs patches partitioned from the image rather than pixels that are well known for preserving image smoothness. Then, it performs denoising on the manifold underlying the patch-space rather than that in the image domain to better preserve the features across the whole image. We validate the performance of this method against benchmark image processing methods.
Enhancing the Identification of Cyberbullying through Participant Roles

Cyberbullying is a prevalent social problem that inflicts detrimental consequences to the health and safety of victims such as psychological distress, anti-social behaviour, and suicide. The automation of cyberbullying detection is a recent but widely researched problem, with current research having a strong focus on a binary classification of bullying versus non-bullying. This paper proposes a novel approach to enhancing cyberbullying detection through role modeling. We utilise a dataset from ASKfm to perform multi-class classification to detect participant roles (e.g. victim, harasser). Our preliminary results demonstrate promising performance including 0.83 and 0.76 of F1-score for cyberbullying and role classification respectively, outperforming baselines.
Real-Time Detection of Simulator Sickness in Virtual Reality Games Based on Players' Psychophysiological Data during Gameplay

Virtual Reality (VR) technology has been proliferating in the last decade, especially in the last few years. However, Simulator Sickness (SS) still represents a significant problem for its wider adoption. Currently, the most common way to detect SS is using the Simulator Sickness Questionnaire (SSQ). SSQ is a subjective measurement and is inadequate for real-time applications such as VR games. This research aims to investigate how to use machine learning techniques to detect SS based on in-game characters' and users' physiological data during gameplay in VR games. To achieve this, we designed an experiment to collect such data with three types of games. We trained a Long Short-Term Memory neural network with the dataset eye-tracking and character movement data to detect SS in real-time. Our results indicate that, in VR games, our model is an accurate and efficient way to detect SS in real-time.
Sistem Informasi Pelayanan Klinik Menggunakan Metodologi Framework for Application of System Techniques (FAST) (Studi Kasus : Klinik Caroline Willy Dental Care)

Caroline Willy Dental Care Clinic is a dental clinic that was established in 2013 which was established by Drg. Willy Heriyanto is on Arengka Street, and has a branch located on Jalan Hangtuah, Pekanbaru. Currently for the registration process and making an appointment takes about 5 minutes for the receptionist to get patient data and confirm an appointment from the doctor. As a result of these problems patient registration becomes complicated and time consuming. Another problem that arises is that patient data is only stored in the clinic when the patient first registers, this condition is caused by the data between the main clinic and the branch that is not yet connected to each other. The solution to these problems is to build a web-based clinical service information system using the framework methodology For Application of System Technique (FAST). To identify any problems that occur at this time are identified using the PIECES analysis method in terms of (performance, information, economic, control, efficiency, service). The results of testing in terms of website quality using usability testing get 88.72% results meet the usability aspects and with black box testing it is found that 100% functional on the system is appropriate and running well.Keywords: Framework for Application of System Techniques, Clinical Services Information System, PIECES.
An Empirical Study on the Reform of the Integration Model of Physical Education and Health Course in and out of Class

This paper studies the effective construction of the integration model inside and outside the classroom in College Physical Education Teaching. Main conclusions: Through the construction of the integration model of physical education in and out of class, we can guide college students to make use of their spare time scientifically, carry out flexible, scientific and interested sports learning and training activities in combination with their physical fitness, physical education assessment and sports interest development, and train college students' good life-long sports awareness and sports characteristics on the basis of their physical fitness At the same time, it can lay a solid physical foundation for college students' healthy life and career development in the future.
Suitable fault-tolerant schemes for cavity-QED-based quantum computation

We show that the requirement for fault-tolerant quantum computation based on cavity-QED is dramatically relaxed by applying the suitable fault-tolerant schemes and gate error optimization for chosen two-qubit gate method.
Fuzzy Approach for Quantum Processors using Qutrits

In this work, a fuzzy approach for Quantum processors using Qutrits has been proposed. Today Quantum computing has gained importance, as we need to have more computing power for transmitting large amount of data. Use of bits to transfer data, limits the amount of data and power as bits are capable of transmitting data in only two states namely 0 and 1. Qubits and Qutrits facilitate transmitting data in multiple states. This approach creates more states compared to those provided by bits. However, it would be ideal if more number of states are available for large amount of data processing. The fuzzy qubit approach attempts to enhance the number of states by using fuzzy membership functions. It takes into account the photon spin motion in generating the number of states. The Fuzzy Qutrit approach has been on Python platform using Qiskit package and it was observed that the computation time has reduced by 33%, compared to the conventional Fuzzy Qubit approach.
Preface

This is the second part of a special issue of the American Journal of Science examining a problem that defines, perhaps more than any other, the state-of-the-art in the geochemistry of fluid-solid interaction: how to integrate data from both observations and modeling of events of brief duration at
English Education in South Korea During the Sixth National Curriculum Period: Focusing on Newspaper Articles

The purpose of this study is to investigate sociocultural factors accountable to English education in South Korea during the Sixth National Curriculum. By analyzing newspaper articles from two major newspapers, Donga Ilbo and Chosun Ilbo, we classified a total of 538 English education-related articles into five main categories: 1) General English education (or Non-school English education); 2) English learning medium; 3) Public English education; 4) Private English education, and 5) Korean and native English teachers. The Sixth National Curriculum period laid the foundation for the transformation of English education, such as the invitation of native English foreign teachers to enhance students’ communicative competence, the introduction of listening tests for the College Scholastic Ability Test, and the implementation of elementary English education. However, these top-down educational measures also provoked negative effects nationwide, including widening “English-divide” between social classes in Korea. Educational suggestions are also provided.
Cultural Interpretation Of Emoji In Malaysian Context

Emoji depicts real-world properties and infer their meaning through universal depictions. However, the interpretation of emoji are not necessarily understood collectively. One of the many factors influencing the interpretation of emoji is culture. The current study investigates the interpretation of emoji among three main cultures in Malaysia, namely the Malays, Chinese, and Indians. The respondents are digital natives from various parts across the country. The focus is on their interpretation of selected facial emoji namely the; sleeping face, tears of joy, loudly crying, blowing a kiss, and screaming in fear emoji. The analysis first identifies the interpretation of the emoji according to each culture, which is then followed by the analysis of differences in semantic misconstrual between the cultures. The results shows; (i) there are common interpretation shared among the three cultures for each emoji, highlighting the universal inherent meaning possessed by emoji, (ii) there are additional interpretations from each culture for each emoji, highlight the culturally specific interpretation for each emoji, and (iii) each culture have different degrees of variation in terms of interpretation for each emoji, highlighting the degree of potential misinterpretation among different cultures in intercultural communication. Overall, the study provides additional evidence of emoji interpretation being influenced by cultural idiosyncrasies, and understanding the differences can assist in smoother intercultural communication within a multicultural society such as in Malaysia.
Indonesian News Classification using Weighted K-Nearest Neighbour

Abstract News is one means of information for the general public. Today, the number of news articles that reach 2 million articles per day can make it difficult for users to find news articles they want to read. In order to make it easier for users, most Indonesian newspapers classify their articles into certain categories, but there are also many blogs, or amateur articles that have not classified the news they circulated. Therefore this paper aims to categorize Indonesian language news using the weighted k-nearest neighbor method. In this paper there are several stages in classifying the news, namely preprocessing, feature extraction, and classification using wKNN. The study used the wK-NN method where K = 6. In this study feature extraction was carried out in unigram and bigram which resulted in accuracy that was not much different. So it is recommended to use unigram because it is more efficient Keywords: Classification, Prepocessing, feature extraction, weighted K-nearest neighbor
Similarity Based Stratified Splitting: an approach to train better classifiers.

We propose a Similarity-Based Stratified Splitting (SBSS) technique, which uses both the output and input space information to split the data. The splits are generated using similarity functions among samples to place similar samples in different splits. This approach allows for a better representation of the data in the training phase. This strategy leads to a more realistic performance estimation when used in real-world applications. We evaluate our proposal in twenty-two benchmark datasets with classifiers such as Multi-Layer Perceptron, Support Vector Machine, Random Forest and K-Nearest Neighbors, and five similarity functions Cityblock, Chebyshev, Cosine, Correlation, and Euclidean. According to the Wilcoxon Sign-Rank test, our approach consistently outperformed ordinary stratified 10-fold cross-validation in 75\% of the assessed scenarios.
Quarks: Quadruple-efficient transparent zkSNARKs.

We introduce Xiphos and Kopis, new transparent zero-knowledge succinct non-interactive arguments of knowledge (zkSNARKs) for R1CS. They do not require a trusted setup, and their security relies on the standard SXDH problem. They achieve non-interactivity in the random oracle model using the Fiat-Shamir transform. Unlike prior transparent zkSNARKs, which support either a fast prover, short proofs, or quick verification, our work is the first to simultaneously achieve all three properties (both asymptotically and concretely) and in addition an inexpensive setup phase, thereby providing the first quadruple-efficient transparent zkSNARKs (Quarks). Under both schemes, for an R1CS instance of size n and security parameter $\lambda$, the prover incurs $Oλ(n)>O_{\lambda}(n)$ costs to produce a proof of size $Oλ(n)>O_{\lambda}(\log{n})$. In Xiphos, verification time is $Oλ(n)>O_{\lambda}(\log{n})$, and in Kopis it is $Oλ(n)>O_{\lambda}(\sqrt{n})$. In terms of concrete efficiency, compared to prior state-of-the-art transparent zkSNARKs, Xiphos offers the fastest verification; its proof sizes are competitive with those of SuperSonic [EUROCRYPT 2020], a prior transparent SNARK with the shortest proofs in the literature. Xiphos’s prover is fast: its prover is $\approx3.85×>\times$ of Spartan [CRYPTO 2020], a prior transparent zkSNARK with the fastest prover in the literature, and is $250> 376\times$ faster than SuperSonic. Kopis, at the cost of increased verification time (which is still concretely faster than SuperSonic), shortens Xiphos’s proof sizes further, thereby producing proofs shorter than SuperSonic. Xiphos and Kopis incur $10>10$–$10,000×>10,000\times$ lower preprocessing costs for the verifier in the setup phase depending on the baseline. Finally, a byproduct of Kopis is Lakonia, a NIZK for R1CS with $Oλ(n)>O_{\lambda}(\log{n})$-sized proofs, which provides an alternative to Bulletproofs [S&P 2018] with over an order of magnitude faster proving and verification times.
The rocks of the geological ages

Many geological features of rocks have been identified. The rock geology is a vast subject, and provides an extensive information and knowledge of millions of years of rock formation. The review paper investigates the formation of rock strata, their composition, texture, structure, the age of fossils and rocks, Geological Time Scale and Rock Cycle by exploring and researching the data available on the rocks of several geological ages.
PENGGUNAAN MEDIA PEMBELAJARAN DALAM JARINGAN PADAMASA COVID-19

ABSTRACT This article aims to describe the use of learning media using online. This article is motivated by difficulties for teachers in teaching online learning due to the pandemic due to Covid 19. Forced learning must adapt to online, which was previously done face-to-face in class. Students must learn from home by using internet access which causes various problems due to the lack of an adaptation process that is too sudden, not in accordance with existing plans, so there must be a way out to make it easier for teachers to understand online processes to be as effective as face-to-face learning. The approach taken in this article is a descriptive approach by collecting several journal references related to the problem of the article. As a result, online usage can actually be made identical to face-to-face, by means of effective online use through the Zoom application. Key words: Learning Media, Online, COVID-19
A Study on the Current Situation and Countermeasures of College English Translation Teaching

in order to improve the English translation ability of English talents, it is imperative to improve the current situation of college English translation teaching. This paper analyzes the necessity of improving the level of college English translation teaching, summarizes the current situation of college English translation teaching, and puts forward some measures to improve the current situation of college English translation teaching, aiming at improving the level of college English translation teaching and students' English ability.
A novel CAPTCHA scheme based on facial expression reconstruction

Despite some technical and conceptual criticism on the CAPTCHA and its claimed effectiveness, such human interaction proofs (HIPs) are still in the centre of attention. With the aim of designing a novel, efficient and user-friendly CAPTCHA, the facial expression reconstruction CAPTCHA, FERCHA, is proposed. The distinguishing challenge in this schema is reconstruction of a facial expression related to the perceived emotion in a game-like manner. In one side, the weakness of current machines in performing cognitive tasks has been leveraged to introduce a strong CAPTCHA. Also, as the byproduct, the FERCHA schema can be used as a crowdsourcing platform in order to collect human-generated semantic annotation and interpretation of text, emojis and images. The experimental results (including theoretical analysis and user acceptance evaluation) proved the efficacy and robustness of the presented idea. Moreover, it is found that providing humans with user-friendly experience could improve the success rate and satisfaction level.
Algorithmic Stages in Privacy of Data Analytics

Technological advances continue to produce massive amounts of information from a variety of sources about our everyday lives. The simple use of a smartphone, for example, can generate data on individuals through telephone records (including location data), social media activity, Internet browsing, e-commerce transactions, and email communications. Much attention has been given to expectations of privacy in light of this data collection, especially consumer privacy. Much attention has also been given to how and when government agencies collect and use this data to monitor the activities of individuals.