Reviewerly/exHarmony huggingface dataset:
Phase-shifting projected fringe profilometry by binary-encoded projections

A binary encoding algorithm is presented for phase-shifting projected fringe profilometry. It does not require additional projections to identify fringe orders. The pattern used for phase extraction can be used for phase unwrapping directly. Fringes can be discerned even though the surface color or reflectivity varies with positions.
Detecting Uninformative Research Job Titles via Classifier Failures—Zero Shot Approach

The aim of this paper is to introduce a novel approach to detecting "uninformative" job titles in research domain, i.e., detecting titles that convey little or no information about the focus and/or content of a particular job -like "Academic staff member AP/2", "PhD student position" etc.Such job titles decrease the success rate of job advertisements.The proposed approach belongs to zero shot approaches -it exploits only existing, easy accessible classification of jobs to research fields and it does not require any additional (manual) annotations.This work introduces an experimental corpus and provides preliminary results of our approach.
Teaching Activities in An EFL Class for Refugees at Immigration Detention Center In Balikpapan-Indonesia

This research was designed to study teaching activities for speaking in an EFL refugee class at Immigration Detention Center in Balikpapan. The purpose of this study was to investigate the speaking activities that the teacher conducted, as well as how the teacher worked those activities and the challenges that appeared when the teacher performed teaching activities for teaching speaking. The research was done in Immigration Detention Centre, Lamaru, Balikpapan, in December 2019. The research sample in this study was one teacher of an EFL class of refugees in IDC Balikpapan. The study was based on qualitative case study research. Data were collected by using two instruments, classroom observation, and interview. The result indicated that various activities were conducted by the English teacher for teaching speaking in this class. It showed that the teacher taught ten exercises: discussion, roleplay, brainstorming, storytelling, interview, picture describing, game, presentation, field trip, and cooking activity. The teacher used the real-life situation as the topics for speaking activities in EFL class, applied pair or group learning, motivated the learners, used students centered method to encourage learners to be free to talk, and made only principal corrections when the learners were doing speaking activities. The challenges that the teacher faced while applying speaking activities in this EFL class learning process include language barriers, different educational backgrounds and life experiences, the psychological condition of the learners, and uncomfortable classroom situations. A professional teacher's certificate and training must be needed for teaching EFL refugee classes. So, it is necessary to create a particular course or class for learning to teach EFL classes for refugees in the English Education programs. EFL teacher of refugees is not only teaching language. The teacher is a facilitator, a guide, and a motivator to the EFL learners.
Tag and correct: high precision post-editing approach to speech recognition errors correction

This paper presents a new approach to the problem of correcting speech recognition errors by means of post-editing.It consists of using a neural sequence tagger that learns how to correct an ASR (Automatic Speech Recognition) hypothesis word by word and a corrector module that applies corrections returned by the tagger.The proposed solution is applicable to any ASR system, regardless of its architecture, and provides high-precision control over errors being corrected.This is especially crucial in production environments, where avoiding the introduction of new mistakes by the error correction model may be more important than the net gain in overall results.The results show that the performance of the proposed error correction models is comparable with previous approaches, while requiring much smaller resources to train, which makes it suitable for industrial applications, where both inference latency and training times are critical factors that limit the use of other techniques.
Evaluation without Ground Truth: a Comparative Study on Preference Mining Techniques in Twitter Social Network

In social media research the lack of ground truth for evaluation is a recurrent problem.We study the preference mining task in Twitter network which suffers from this lack of ground truth problem.We implement three different methods from literature, considering a common preference domain of news and carry a comparative study among them.Our preliminary findings show that is possible to combine methods in order to avoid unfeasible user surveying baselines and enable the evaluation of techniques.In the future, our target is to completely eliminate ground truth sets and evaluate based on correlation and causality techniques.
Keefektivan Penggunaan Model Pembelajaran Flipped Classroom Berbantuan Media Audio Visual dalam Pembelajaran IPA di Kelas 4 SDN 3 Mekarbakti Garut

This study aims to test the effectiveness of learning the flipped classroom learning model in grade 4 elementary school with the help of audio-visual media on the form and function of plants. The research method used is quantitative research. Data collection techniques include pre-test and post-test for all students. The t test was conducted to analyze the pre-test and post-test results. From the results of the study it can be concluded that there is an increase in student learning outcomes, which indicates that the online flipped classroom learning model using audio-visual media is effective. In addition, learning like this also adds new experiences for students that are considered effective in learning.
Identifying Light Verb Constructions in Indonesian: A Direct Translation Approach

This study aimed to identify light verb constructions (LVCs) in Indonesian based on machine translation methods, namely binary translation or direct translation. Based on the method, the LVCs of the source language (SL) were selected and utilized to construct the LVCs counterpart of the target language (TL). The SL instrument has been developed using previous studies on English and Hungarian, namely the LVCs matrix formulated by Vincze (2011). The TL data were in the equivalent forms of LVCs in Indonesian. Data analysis was carried out based on morphosemantics and morphosyntax. Based on the study, the result was stated as follows, i.e. (i) there were translation work procedures that needed to be carried out to process LVCs from SL to TL regarding the type of translator, limited text selection, and final counterpart assignation; (ii) there were changes in the morphosemantic features of LVCs from SL to TL during the translation process; and (iii) there were grammatical exceptions that cannot be resolved through binary translation methods. This study also suggested a further analysis of LVCs identification through another method, for instance, information retrieval (IR) and information extraction (IE), in the light of computational linguistics.
An Improved RSA Algorithm for Enhanced Security

The security of the Rivest-Shamir-Adelman (RSA) public key algorithm depends on the difficulty of factoring the modulus calculated by multiplying two large prime numbers. The usefulness of the RSA public key algorithm lies in using one key for encryption and another key for decryption. However, a poor choice of the keys used in encryption and decryption can affect the security of the RSA cryptosystem. Many proposals have been made to modify the RSA cryptosystem in such a way that the attacks on the RSA cryptosystem can be overcome. In this article, we propose concealing the publicly disclosed parameters, the encryption key and the common modulus of the RSA cryptosystem by altering the values sent publicly. The values sent publicly are different from the one used in the algorithm which conceals the actual parameters to others. The implementation of this idea uses two different algorithms and randomly choosing between the algorithms. The choice of the algorithm is done using a random number generator and this choice of the algorithm has to be communicated so the decryptor uses the correct algorithm to decrypt the encrypted data. Finally we explore a faster way to implement the modular exponentiation algorithm used in the RSA encryption and decryption.
Digital medical instrument based on embedded computer system

This article takes the digital medical instrument based on the embedded computer system as the research object, and studies the use requirements and function realisation of the embedded digital medical instrument. This article focuses on the analysis of the memory and operation of the embedded computer system, and analyses the requirements for the use of digital medical equipment based on these characteristics. The intelligent digital medical instrument architecture based on embedded technology presents a trend of individualisation, omni-directional, three-dimensional, more intelligent, and automated in the case of multiple communication lines coexisting. The results show that the embedded operating system digital medical instrument manages system resources through hardware and software, which can save 35% to 40% of hardware costs. Although the initial cost is high, in the long run, the total medical cost is greatly reduced, and the patient's recovery time is also greatly shortened.
Rethink React

This chapter is about “re-”: rethink, redesign, rebuild, and restructure React apps in React way. You will learn concepts such as Code Splitting, Props Drilling, React Context in this chapter. We'll build a multi-view application based on these concepts. At the end of this chapter, you will be proficient in designing and creating React apps following the most recommended and most current approaches.
Simulated Surgical Model Design for Myringotomy and Tympanostomy Tube Insertion in Children using Medical Image Processing and 3D-Printing Technologies

Objective: Researchers aimed to design surgical simulation models using medical image processing and 3D-printing technologies to train otolaryngologie residents with correct surgical techniques and study their skills improvement.Materials and Methods: The models were produced for three age ranges (group A: 8-12 years old, group B: 3-7 years old, and group C: 10 months - 2 years old). Eleven residents were practiced from older to younger child models. Overall surgical time and results were evaluated to determine improvement. Both residents and specialists assessed satisfaction surveys after training.Results: The median operational time was significantly reduced by 64.57% in model A and 50.24% in model B (p &lt; 0.05). Operating time and surgical skills improved in order from models A, B, and C. Model C showed the most improvement with correct operational techniques in myringotomy incision (66.7%, p = 0.003) and tympanostomy tube insertion (48.5%, p = 0.011). Residents’ and specialists’ satisfaction assessments exhibited prominent satisfaction results with surgical simulation model training.Conclusion: Surgical simulation models training enhanced residencies’ confidence and improved correct surgical techniques. Residencies can gradually practice skills from fundamental to more complicated techniques in younger child model where symptom occurs.
Reading in Digital Contexts

Chapter 16: Reading in Digital Contexts. Digital reading has now become a major form of information communication worldwide. However, discussions around digital reading, specifically in educational contexts, generate many complexities that need to be unpacked. One form of digital reading (and digital texts) involves texts that are essentially equivalent to print texts, but in a digital medium (e.g., e-books, digital journal articles, and emails). Digital reading also refers to online texts on internet browsers and various apps that involve dynamic “online texts.” Research indicates that reading fixed print texts, versus fixed digital texts, leads to better comprehension and better learning, especially with longer texts. At the same time, important distinctions are reported between reading-comprehension skills when reading “frozen” texts and when reading hyperlinked online texts. Reading online texts, while a modern requirement for information seeking, creates many unique difficulties for reading development. Research on these challenges and efforts to provide effective reading instruction with online texts is addressed. The chapter concludes with implications for instruction.
QUEST: Privacy-Preserving Monitoring of Network Data

[J1C2 Presentation Abstract at IEEE SERVICES 2021 for IEEE Transactions on Services Computing DOI 10.1109/TSC.2022.3166802]
Pengaruh Penggunaan E-Learning Edmodo Terhadap Hasil Belajar dan Persepsi Siswa Tentang Pembelajaran Daring di SMP Avisena Jabon

This study aims to determine the effect of the use of E-learning Edmodo on learning outcomes and to determine the effect of E-learning Edmodo on students' perceptions of online learning. Pre-experimental quantitative research method with a one group pretest-posttest design research that was tested on an experimental class using an assessment instrument in the form of multiple choice test questions to determine students' cognitive learning outcomes and a questionnaire in the form of a questionnaire to determine students' perceptions of online learning. The population used is online class VIII students at SMP AVISENA Jabon. The effect of the use of the Edmodo E-learning platform on the cognitive learning outcomes of online class VIII students at SMP AVISENA Jabon. The results of the t-test analysis using paired simple t-test obtained a significant value of 0.000 which is smaller than a significant level of 0.05; So it can be interpreted that the experimental class has changes in students' cognitive learning outcomes after using the Edmodo E-learning platform. While the effect of using the Edmodo E-learning platform on students' perceptions of online learning, the results of the t-test analysis using paired simple t-test obtained a significant value of 0.000 which is smaller than the significant level of 0.05; So that it can be interpreted that the experimental class has a change in students' perceptions of online learning by being given treatment in the implementation of learning using the Edmodo E-learning platform. So it can be concluded that the use of the Edmodo E-learning platform affects students' cognitive learning outcomes and can affect students' perceptions of online learning in class VIII online SMP Avisena Jabon.
The Criminal Law Regulation of Network Language Violence

A detailed analysis of Article 13 of the criminal law stipulates that only acts with considerable social harm can be punished.At present, the phenomenon of network language violence occurs frequently, abuses freedom of speech, causes harm to others, and has become a new form of crime.From three aspects: 1. the concept and nature of network language violence; 2. The necessity of criminal law regulation of network language violence; 3. Specific ideas of criminal law regulation of network language violence.Referring to the "two Supreme People's congresses" issued the "interpretation on Several Issues concerning the application of law in handling criminal cases such as defamation through information network" and "criminal law amendment 11", this paper analyzes the needs of social governance, social harmfulness and personal danger; It is concluded that "cyber language violence" belongs to "insulting" speech crime, and mental damage should be evaluated as the harmful consequences of "cyber language violence", and the use of criminal law to regulate it has also become a necessary path.Systematically examine the criminal legislation and investigate the normative content of the crime of insult, so as to bring the "network language violence" into the crime of insult.
Pengembangan Media Pembelajaran Catur Belajar Untuk Meningkatkan Pemahaman Siswa Pada Pembelajaran IPS Sekolah Dasar

This study aims to describe the feasibility of learning chess media in the implementation of learning and to describe the effectiveness of learning chess media in increasing students' understanding of elementary school social studies material. The research method used is the Research and Development Borg and Gall model which was adapted from Sugiyono. The research subjects were the 4th grade students of SDN Sukamurni, totaling 10-12 people. Methods of data collection using questionnaires and tests, while the data analysis technique uses product data analysis and effectiveness analysis. The results showed that there were 70% of students who had grades at ≥ 80 or about 70% of the 20 students. The remaining six students who have a score of ≤ 60. Before the use of chess media learning in the learning process. After the use of learning chess media in the implementation of learning, there are 17 students or about 85% who get a score of ≥ 80. The remaining 3 students get a score of ≤ 60.
Implementasi Model PBL, NHT dan CCB serta Media Kantong Penyelidikan

This research was conducted using the observation method to discuss the implementation of the combination of PBL, NHT and CCB models as well as the Investigation Pockets media to improve learning activities, critical thinking skills and learning outcomes of elementary school students. This study uses a qualitative research approach with the type of preliminary study research. The subjects of this study were educators and students of class V UPTD SD Negeri 1 Liang Anggang with a total of 16 students. Data collection techniques used were observation and interviews with educators and students of class V UPTD SD Negeri 1 Liang Anggang. The data analysis of this research used qualitative descriptive. These findings indicate that in the learning process, students' learning activities are still low, critical thinking skills are not honed, and there is no interesting media. In addition, the absence of games causes the class to become monotonous and boring for students which results in less than optimal student learning outcomes.
Upaya Guru Dalam Meningkatkan Motivasi Belajar Siswa TK Melalui Penerapan Ice Breaking pada Pembelajaran Daring

In online learning, teachers are required to remain professional in designing learning. It is expected that teachers can increase online learning so that students are motivated to learn. However, in fact, when the author conducted a practicum in one of the kindergartens in Kupang city on 7 July - 27 August 2021, it was found that the behavior of students' learning motivation was low. The behavior of the students that appeared were yawning, sitting back lazily, putting their head on the table, and communicating with people at home, so they didn't pay attention to the teacher. Therefore, the purpose of writing this paper is to examine the efforts of teachers in increasing the learning motivation of kindergarten students to learn online, using descriptive qualitative methods. Teachers as motivators can motivate students through the application of ice breaking. The results of this research show that the application of ice breaking can increase students' motivation in learning. It was concluded that the teacher's efforts to motivate students through ice breaking had a positive impact on students' learning motivation. For further researchers, it is recommended to conduct classroom action research, to get more measurable results.
Pemberian Reinforcement Sebagai Upaya Mendisiplinkan Siswa Kelas III SD Pada Pembelajaran Daring

Problems that occur in the learning process will always exist. One of the problems that the authors found was the indiscipline of students in using hand signals. Discipline occurs when students do not obey the applicable rules. So, the teacher needs to apply a method that can overcome the problem of student indiscipline. Student indiscipline can be overcome by using the method of giving rewards. The aim of this research is to see the effect of the reinforcement method on student discipline in online learning. The research method that is used by the researcher is descriptive qualitative. The method of giving reinforcement can be used to discipline students, because the reinforcement can motivate students, so students will tend to repeat the same thing in the future. The suggestions for teachers are that teachers can apply reinforcement consistently so the teacher can see the consistency of changes in students' disciplinary attitudes. The suggestions for other researchers are to apply this method longer, so that this research can be more measurable and the pattern of changes in student behavior is more visible.
Scalable quantum information processing architecture using a programmable array of spin-photon interfaces

We demonstrate a scalable quantum information processing architecture consisting of a planar array of tin-vacancy (SnV) centers, tunable across a thousand diamond cavities integrated on a control chip based on a commercial foundry process.
Information Extraction in Photon Counting Experiments

We use quantum detector tomography to quantify the extracted information of detection outcomes from five different multiplexed SNSPDs. This allows to directly compare the quality of different multiplexing architectures for photon-counting applications.
THE USE OF DIGITAL BOOK LET’S READ IN IMPROVING READING COMPREHENSION FOR JUNIOR HIGH SCHOOL STUDENT

Reading is an important skill for all students. It is the action of extracting meaning (the message) but in the case of language acquisition, language aspects (pronunciation, structure, spelling, and vocabulary) are also included. The purpose of this research was to find out the improving of students reading comprehension using digital book Let’s Read at eight grade students of SMPN 1 Beji. There are two classes which used in this research, they are 8E as a control group and 8H as an experimental group. There are 72 students and one English Teacher as a participant. This research used mixed-method approach which involved quantitative design. The data obtained from questionnaire, interview, and test. To evaluate reading activities in the classroom and to obtain student answers in the usage of Let’s Read, observations and questionnaires are distributed. A pre-test and post-test is also given to compare students ’ reading comprehension between students who used digital and paper books. Prior to the post-test, students are given skills to improve their reading comprehension. As supplementary data, interviews with teachers are collected. The result shows that most students are delighted with Let’s Read and like them as a valuable reading resource, they do not intended to prefer digital book if offered the option of a digital and print edition of a specific book. It means that the use of digital books does not have enough effect on a person's reading comprehension level which can also be obtained even though using a printed book.&#x0D; Keywords: Digital Book, Reading Comprehension
Research on application of deep neural network model in college English skill training system

In view of the current situation that the college English skill training system has not yet realised the scoring of subjective questions, the proposed system adopts the deep neural network model and linear regression model to realise the automatic scoring of subjective questions of oral English expression. The results show that the automatic scoring system for college students' English skill training can effectively improve the accuracy and coverage of the six dimensions of the lr-dnn fusion model. The 1-6 dimensional accuracy of lr-dnn fusion model is 93.51%, 92.45%, 90.37%, 92.36%, 91.81% and 92.15%, respectively. The results are of great value to improve students' English skill training system.