Reviewerly/exHarmony huggingface dataset:
Synchronizing Two Superconducting Qubits through a Dissipating Resonator

A system consisting of two qubits and a resonator is considered in the presence of different sources of noise, bringing to light the possibility for making the two qubits evolve in a synchronized way. A direct qubit-qubit interaction turns out to be a crucial ingredient as well as dissipation processes involving the resonator. The detrimental role of local dephasing of the qubits is also taken into account.
Descriptive Study on Some Methods of Teaching English via Online Learning System Used by Lecturers

Firstly, the research aims to know what lecturers use methods of teaching English via an Online Learning System. Secondly, the activities both the lecturers and students have during the learning process. This research is limited to what methods the lecturers apply in teaching English for English department students via an online learning system to build students' enthusiasm for learning. The process of research used is qualitative research. In collecting data, the researcher used observation. There are 8 respondents in this research. They are all lecturers teaching in English Department. The result shows that the lecturers use applications in teaching English, namely Google Classroom, Google Meet, Zoom, and the Learning Management System (LMS) of Darma Persada University, namely portal.unsada.ac.id. The latest application is an official site that lecturers and students use to proceed with the teaching-learning process. The research also finds that lecturers do several activities in the learning process. They fill in the blank, read aloud, answer questions, picture describing, drilling, and presentation techniques. The research shows that those all activities are the most suitable with learning system using online. Meanwhile, in terms of teaching techniques, most of the lecturers use communicative language teaching, grammar-translation, and audio-lingual method.
THE EFFECT OF TABOO WORD GAME IN IMPROVING VOCABULARY ABILITY

This study was conducted to investigate the effect of Taboo Word Game strategy on students vocabulary ability. The purpose of the study was to find out the effect of Taboo Word Game strategy had effect on students’ vocabulary ability. The study used research by doing experimental design. The population of this study was 60 Informatics Engineering students of Potensi Utama University in the fourth semester of 2019-2020 Academic Year. A placement test was given to 60 students. 60 students were taken as the sample of this research. The sample was divided into two groups: the first group is the Taboo Word Game group (30 students) and the second group is conventional group (30 students). The instrument of collecting the data was vocabulary test. The writer used independent sample t test formula to analyse the data. The data were calculate by using independent sample t test by SPSS 20 for windows. The result of the analysis shows that tcount &gt; ttable = 3,941 &lt; 2,66329 is higher at the level of significance 0.05 and the degree of freedom (df) 58. Therefore, the null hypothesis (Ho) is rejected the alternative hypothesis (Ha) is accepted.
Statistical modelling of compromised longitudinal neuroimaging datasets: an application to alzheimer's disease

Large datasets of longitudinal data, made available for the neuroimage community, offer the possibility to study trajectories of biomarkers throughout the course of the diseases. For such modelling, approaches emerging from both the frequentist and the Bayesian frameworks have been suggested. When datasets are large, homogeneous, and balanced, both approaches seem to perform similarly. However, in compromised datasets, with limited number of samples and unbalanced data, this is not clear. Here we included data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database to study the behaviour of different statistical approaches using different dataset configurations. We used the hippocampal volume (HV) at different timepoints and we analysed the capability of the methods to find differences across clinical groups. For that, we used a Linear Mixed Effects (LME) modelling under both the frequentist and the Bayesian approaches. We started with a large, homogeneous, and symmetric database, and we created different configurations, by sequentially removing data points, to simulate different real-life situations. Using the frequentist approach to predict conversion on mild cognitively impaired patients, we found that we need a mean of 115 subjects to differentiate converters vs non converters. When classifying between the five ADNI clinical groups we need 147 subjects (mean across datasets) to differentiate between all clinical groups. With the Bayesian approach, we demonstrated that the results were stronger and of higher interpretability, specially at the borderline significant datasets.
Visualization, Documentation and Non-Destructive Investigation of an Ancient Egyptian Corn Mummy in a Falcon-shaped Wooden Coffin

Corn mummies’ were funerary objects in ancient Egypt that were served as sacred images of the god Osiris during the Khoiak feast. They are grain-filled linen sacs, usually filled with an emmer or barley specimen, the ingredients for staple food in ancient Egypt (bread and beer). In the fertility cult of Osiris, the function of Corn mummies was presumably for continuous prosperity of the land and healthy crop growth. This paper focuses on the use of nondestructive methods for the documentation and visual examination of a Corn mummy coffin (No. 1242) dating back to the late period; but its original inscriptions are partially lost. Digital imaging and Reflectance Transformation imaging (RTI) were used to document all surface aspects. D-stretch was used to enhance surface details that were not clearly visible by digital imaging and RTI. Infrared imaging was used to reveal the details of hieroglyphic inscriptions and outline drawings on the wooden coffin. X-ray radiography was used to non-destructively verify the inside contents of the wrapped mummy inside the wooden coffin, and whether it includes any human remains or not. The methods provided a comprehensive documentation and examination of the various parts of the artifact.
Syntaxemes as a method for selecting learning resources in teaching English

The purpose of the article is to discuss twenty-seven varieties of Russian syntaxemes defined by G.A. Zolotova, the semantic basis of which is considered universal for any other language. This achievement in the field of communicative linguistics allows to consider similar typical syntaxemes in English. The authors of this article are interested in syntaxemes because of the linguodidactic potential which serves as a “bridge” for statements within the thematic field. In contrast to the abstract means of structural linguistics, syntaxemes are capable of integrating lexical and grammatical material into the learning process. Whereas the traditional technique artificially tied the types of phrases and sentences of the topic, syntaxemes by semantic bundles are used in different exercises, i.e., within one exercise the teacher will be able to assimilate two or three ways of expressing the same idea and a sufficient amount of one syntaxeme as a typical union of the same type of lexemes. The article focuses on the optimization of learning process, in which the criteria for the selection of learning material based on certain methodological principles of teaching English are considered. By relying on the appropriate principles for the selection of learning material, an effective system of teaching English is purposed to be achieved. The article presents the most active syntaxemes, their meanings and interpretation found in the English textbook for 5th graders. Also, as an illustrative material, one of the speaking topics for 5th graders is considered, which is represented in the table with essential examples. Syntaxeme as a linguodidactic unit makes it possible to select language resources on a scientific basis, considering certain selection of parameters (frequency, functional significance, etc.).
Recognition of Masked Face Using Convolutional Neural Network Algorithm

The covid -19 is an unparalleled crisis resulting in huge number of casualties security problem. So has to scale back the spread of corona virus, people often wear a mask to guard themselves. Indeed, during this challenging context, the matter of face recognition is usually like periocular recognition involving iris, pupil, sclera, upper and lower eyelids, eye folds, eye corners, skin texture, fine wrinkles, complexion, skin color, skin pores etc. In this paper, we propose a reliable method supported discard masked region and deep learning based features so as to deal with the matter of masked face recognition process. The primary step to discard the masked face region. Next, we apply deep learning algorithm to extract the simplest features from obtained regions (mostly eyes and forehead regions). This leads to good accuracy than the previous work for detecting the masked face.
Penerapan Algoritma Fisher Yates untuk Pengacakan Soal Pada Sistem Ujian Kompetisi Wartawan

Procedures from the company to provide competency certification for and as official evidence that the news from the journalist is credible. In the practice of implementing the Competency Test, cheating is still found during the exam, various ways / forms of cheating that occur include cooperation between journalists (test participants). These problems are overcome by integrating the competency test system, using mobile technology and web applications that have been integrated so that they are more accessible. The Fisher Yates shuffle algorithm functions as a randomization of exam questions. Each test taker always has different exam questions, both from the numbering of questions and the order of answer choices. With the implementation of the Fisher Yates Suffle Algorithm, it can reduce acts of fraud or dishonesty by journalists. In addition, with the application of the Fisher Yates shuffle algorithm, it can make it easier for agencies to provide competent employee competencies. The results of the randomization test on the first 3 questions that appeared to the respondents resulted in the conclusion that the Fisher-Yates shuffle algorithm had a 100% success rate in randomizing the order of questions that were displayed to respondents
Superlative-modified numerals and negation: A multiply negotiable cost

Comparative-modified numerals (CMNs) and superlative-modified numerals (SMNs) are reported to exhibit a polarity sensitivity contrast: unlike CMNs, the use of SMNs is said to be sensitive to embedding under negation. This contrast is however neither well studied nor well understood, such that the existing views in the literature disagree vastly on both the basic facts and related expectations. In this paper we investigate this contrast in three offline experiments. We show that there is strong empirical support for this reported contrast under negation, but none of the existing analyses of the contrast can capture it in full, though we do seem to require insights from each.
Evaluation of Impact of Neural Networks in Text Classification

One of the most trending and major areas of research in Natural Language Processing (NLP) is the classification of text data. This necessarily means that the category that the text belongs to is determined by the content of the text. Various algorithms such as Recurrent Neural Network along with its variation which is Long Short-Term Memory, Hierarchical Attention Networks and also Convolutional Neural Network have been used to analyse how the context of the text can be determined from the text data which in available in terms of datasets. These algorithms each have a special characteristic of their own. While Recurrent Neural Network maintains the structural sequence of the contexts, the Convolutional Neural Network manages to obtain the n-gram feature and the Hierarchical Attention Network manages the hierarchy of the documents or data. The above said algorithms have been implemented on the British Broadcasting Corporation News datasets. Various parameters such as recall, precision, accuracy etc. have been considered along with standards such as F1-score, confusion matrix etc. to deduce the impact.
Analyzing Main Topics Regarding The Electronic Information and Transaction Act in Instagram Using Latent Dirichlet Allocation

Indonesia is currently experiencing its fourth industrial revolution in the 21st century. With the introduction of the internet, Indonesia is expected to gain more than a hundred billion US Dollars and twenty-six million job openings by 2030. The rising usage of information technology prompts regulators to develop The Electronic Information Transaction Act to protect the populace from cybercrime. However, the law attracts numerous criticism due to its vague interpretation. This resulted in numerous arrests of innocents throughout Indonesia. Thus, the public is trying to voice their opinions on social media for the sake of preventing any more cases in the future. The usage of Latent Dirichlet Allocation could provide numerous benefits for this research. The separation between latent topics among random mixtures helps to identify the common ground and correlation between each post. These latent topics will be elaborated with a sample post to provide insights and expectations of the public towards the law.
Teacher Knowledge and Skill for Gifted and Talented Education

The gifted and talented education is one of national strategic projects, and the teachers of gifted and talented education are the core elements of gifted and talented education, which determine the quality of gifted and talented education. Exploring and analyzing professional development, the knowledge and skills in the new period from such ten aspects as theoretical basis, teaching characteristics, individual differences, learning strategy, learning environment,language and communication, teaching plan, talent evaluation, professional ethics, multi-dimensionalcooperation, we can draw an enlightenment that the developing quality of teachers of gifted and talented education can be raised by legislation, policy, planning, resources, guarantee, project and localization, which also provide solid support of manpower and intelligence for gifted and talented education.
Guide Conversation Method In English Speaking Learning For Business Administration Class

This study aims to determine the use of the guide conversation method in teaching speaking skillfor business at Business Administration Class of STISPOL Wira Bhakti Denpasar. This study uses a library research method, which is a research method based on expert opinions about speaking skills with the guide speaking method. So it can be concluded that learning English, especially speaking skills, requires a variety of precise strategies. The goal is to make it easier for students to learn English for business (English for special purposes) especially for telephoning, However, it should be remembered that learning English is not learning knowledge which requires high reasoning power, memorizing formulas, mastering tenses, grammar, and formal English grammar, and so on. However, learning English is nothing more than a skill that is continuously practiced until it is accustomed to it.
1. Smart Dental Alarm as Educative Media in Increasing Knowledge and Behavior of Toothbrushing in Early childhood, 2. Smart Dental Alarm Sebagai Media Pendidikan untuk Meningkatkan Pengetahuan dan Sikap Menggosok Gigi Anak Usia Dini

1. Early childhood suffer from very high dental and oral health problems. This problem is caused by poor knowledge and behavior of tooth brushing. An effort toincrease the knowledge and behavior of tooth brushing requires innovative media as per the age and parental assistance. This researce aims to develop innovative dental health education media to increase knowledge and behavior of preschool children. We undertook this study using Research and Development method with the stages of information collection, product build, validation by experts and finished product. The number of samples was 30 for each intervention and control group with a random sampling technique. Data were tested using ISO 9126, chi-square, Shapiro Wilk, Friedman and Man Whitney. The results of this study indicate that Smart Dental Alarm is more effective in increasing the knowledge and behavior of the tooth brushing behavior in preschool children than using power point regarding the pre-test, post-test 1 and 2 which obtain p-Value in 0.000. Smart Dental Alarm is more effective than power point because it is equipped with various features or media types that are intended to increase knowledge and behavior while power point only contains material with pictures.2. Anak usia dini mengalami masalah kesehatan gigi dan mulut yang sangat tinggi. Masalah ini disebabkan oleh pengetahuan dan sikap menggosok gigi masih sangat rendah. Salah satu cara untuk meningkatkan pengetahuan dan sikap anak usia dini dalam menggosok gigi diperlukan adanya media yang inovatif sesuai dengan usia serta pendampingan orang tua. Penelitian ini bertujuan untuk mengembangkan media pendidikan kesehatan gigi yang inovatif untuk meningkatkan pengetahuan dan sikap anak usia dini. Metode penelitian menggunakan Reserce and Development (RD) dengan tahapan penghimpunan informasi, konstruksi produk, pengabsahan oleh pakar dan produk. Jumlah sampel 33 setiap kelompok (intervensi dan kontrol) dengan teknik pengambilan random sampling. Data diuji menggunakan ISO 9126, chi-square, Shapiro wilk, Friedman dan Man-Whitney. Hasil penelitian ini menunjukkan bahwa “Smart Dental Alarm” lebih efektif terhadap peningkatan pengetahuan dan sikap menggosok gigi anak usia dini dari pada power poin setelah dilakukan pengukuran pre tes, pos tes 1 dan post tes 2 dengan mendapatkan p-Value 0,000. Smar Dental Alarm lebih efektif dari pada media power point karena dilengkapi dengan berbagai fitur atau jenis media yang ditujukan untuk meningkatkan pengetahuan dan sukap, sedangkan power poin hanya berisi materi yang dilengkapi gambar.
¿Escriben Igual Hombres y Mujeres? Un Estudio de los Generolectos en la Comunicación Mediada por Ordenador

In the last decades, the Internet has become an information and communication network which reaches a wide audience and which has spread all over the world. Within this communicative context it is of paramount importance to know who hides behind a specific linguistic profile in computer-based communication. In order to establish the features of male and female genderlects, sociolinguistics has been based on oral interactions, but, this traditional classification of male and female language still valid, or should it be updated adapting to this new communication medium? The aim of this project has two sides. On the one hand, we have carried out an analysis just to detect if the traditional characterization of genderlects matches with the linguistic traits which are observed in computer-based communicative exchanges between men and women. On the other hand, we have tried to offer a genderlect characterization which could be useful concerning automatic gender detection tasks.
Online Presence System Development Website-Based using Prototype Methods

In the current era of the Covid-19 pandemic, almost all activities use technology, such as the lecture process. Almost all of the lecturing processes in high education are carried out online because it is to reduce the risk of contracting covid-19. The manual presences system by filling out forms or signatures is no longer effective because it has to be done offline. The online presence system is a system that is needed to find out about lectures, the discipline of teaching and students. The method used in the development of this system is Prototype. This method has the advantage of paying close attention to user needs and a faster time for software development. The results of this study are a system for online presence in the era of the Covid-19 pandemic in real-time with photo evidence. Teaching can validate and change the presence of students. In addition, the admin can easily recap the number of teaching and students presences for reporting. Teaching also finds it helpful to take the results of student presences for reporting the completeness of the assessment data and the head of the study program can see the presences summary report online. This system has been tested for functionality with an average result of 83.5% so that it can be said to be successfully built according to user needs
Technology Enabled Language Learning Using CALL and MALL

The paper titled "Technology Enabled Language Teaching using CALL and MALL" aims at exploring the effectiveness of language teaching using CALL and MALL wherein the traditional methods of teaching were not inculcated.It also highlights the teaching of English language during the pandemic.This paper gives a detailed account of the different ICT tools and computer and mobile applications that are used by the teachers of English predominantly during the pandemic.These applications enable the learners to think critically and interact meaningfully.The learners are engaged in meaningful interaction with the advent of technology.It also critiques on the pros and cons of technology enhanced language learning using Computer Assisted Language Learning (CALL) and Mobile Assisted Language Learning (MALL).It further adds the effective use of these techniques in classroom and the impact in the field of education irrespective of time and place.
Pelatihan online penerapan teknologi RADIUS pada PT. Taspen (Persero) Palembang

Internet network security in a company is critical. Currently, the use of wireless devices as a local data traffic controller is very widely used. However, this tool is vulnerable to network security breaches if it is not accompanied by excellent security of the network system. PT. Taspen (Persero) Palembang has problems with the Wireless network and does not have an excellent security system. It causes users who are not employees to use the internet network at the company, making employee operations slow and vulnerable to burglary. Therefore, in this PKM activity, RADIUS Technology is applied as internal network security. Every user who wants to access the internet network at the company must first log in. This activity aims to train employees of PT. Taspen (Persero) Palembang to access a wifi network that uses RADIUS Technology. It starts from accessing the wifi network, logging in, to logging out of the wifi network. This activity is carried out online by utilizing the Zoom Meeting application. The results obtained indicate that the network system security of PT. Taspen (
National libraries Websites: Webometric Study Using Web Impact Factor.

The study aims to measure the web impact factor of the websites of national libraries, and to indicate the extent of their electronic presence, and the extent of their impact and impact on the Internet, which amounted to 150 websites, by analyzing those websites quantitatively and qualitatively, and the study relied on the bibliometric approach using one of the methods of webometric measurements. It is the web impact factor, and the study relied on the (Google search engine) and the Way back machine. The study found that the Bahamas Library website was the largest in size and the highest online presence, while the least attended sites were the Togo and Gambia library, The Slovak Library website also scored the highest sites in terms of the overall web impact factor, and the Sweden Library website ranked first according to Web Visibility Factor. Sultan Qaboos Library ranked first for the overall web impact Factor, and the subjective web impact coefficient according to the websites of national libraries in the Arab countries. Located in the Library of Tunisia, it scored the highest rank in terms of the revised web effect coefficient, and the spider vision coefficient in the Arab countries. The study recommended the need to pay attention to webometrics, especially the web impact coefficient, and to repeat studies at varying intervals of time and compare the results.