Reviewerly/exHarmony huggingface dataset:
Innovative Applications of Computer-Assisted Technology in English Learning under Constructivism

In order to improve the effect of college English classroom teaching, this paper combines optical recognition to improve machine vision algorithms and uses computer optical vision technology to process teaching images. The system designed in this paper can be applied to philosophical teaching in college English classrooms. Moreover, the system can optimize teaching resources, manage teaching classrooms through the improved machine vision algorithm in this paper, and have a formative evaluation effect. In addition, taking into account the psychological activities of students in the classroom, this paper integrates the emotional recognition of college students in the construction of the system. Furthermore, it combines the actual teaching process to build a college English classroom teaching system based on constructivism. Finally, this paper designs an experiment to analyze the effect of the teaching model. From the research results, it can be known that the teaching system meets the demands of teaching.
Medical Literature Mining and Retrieval in a Conversational Setting

The Covid-19 pandemic has caused a spur in the medical research literature. With new research advances in understanding the virus, there is a need for robust text mining tools which can process, extract and present answers from the literature in a concise and consumable way. With a DialoGPT based multi-turn conversation generation module, and BM-25 \&amp; neural embeddings based ensemble information retrieval module, in this paper we present a conversational system, which can retrieve and answer coronavirus-related queries from the rich medical literature, and present it in a conversational setting with the user. We further perform experiments to compare neural embedding-based document retrieval and the traditional BM25 retrieval algorithm and report the results.
Relightable Neural Video Portrait

Photo-realistic facial video portrait reenactment benefits virtual production and numerous VR/AR experiences. The task remains challenging as the portrait should maintain high realism and consistency with the target environment. In this paper, we present a relightable neural video portrait, a simultaneous relighting and reenactment scheme that transfers the head pose and facial expressions from a source actor to a portrait video of a target actor with arbitrary new backgrounds and lighting conditions. Our approach combines 4D reflectance field learning, model-based facial performance capture and target-aware neural rendering. Specifically, we adopt a rendering-to-video translation network to first synthesize high-quality OLAT imagesets and alpha mattes from hybrid facial performance capture results. We then design a semantic-aware facial normalization scheme to enable reliable explicit control as well as a multi-frame multi-task learning strategy to encode content, segmentation and temporal information simultaneously for high-quality reflectance field inference. After training, our approach further enables photo-realistic and controllable video portrait editing of the target performer. Reliable face poses and expression editing is obtained by applying the same hybrid facial capture and normalization scheme to the source video input, while our explicit alpha and OLAT output enable high-quality relit and background editing. With the ability to achieve simultaneous relighting and reenactment, we are able to improve the realism in a variety of virtual production and video rewrite applications.
Causal influence in operational probabilistic theories

We study the relation of causal influence between input systems of a reversible evolution and its output systems, in the context of operational probabilistic theories. We analyse two different definitions that are borrowed from the literature on quantum theory—where they are equivalent. One is the notion based on signalling, and the other one is the notion used to define the neighbourhood of a cell in a quantum cellular automaton. The latter definition, that we adopt in the general scenario, turns out to be strictly weaker than the former: it is possible for a system to have causal influence on another one without signalling to it. Remarkably, the counterexample comes from classical theory, where the proposed notion of causal influence determines a redefinition of the neighbourhood of a cell in cellular automata. We stress that, according to our definition, it is impossible anyway to have causal influence in the absence of an interaction, e.g. in a Bell-like scenario. We study various conditions for causal influence, and introduce the feature that we call <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow class="MJX-TeXAtom-ORD"><mml:mtext class="MJX-tex-mathit" mathvariant="italic">no interaction without disturbance</mml:mtext></mml:mrow></mml:math>, under which we prove that signalling and causal influence coincide. The proposed definition has interesting consequences on the analysis of causal networks, and leads to a revision of the notion of neighbourhood for classical cellular automata, clarifying a puzzle regarding their quantisation that apparently makes the neighbourhood larger than the original one.
Implementation of Blom’s key predistribution scheme by using elliptic curve cryptography / Md Nizam Udin ... [et al.]

Cryptography, along with its various methods is used to serve the security communication purpose. Cryptography is said to be secure if the encryption key is hard to break by the attacker. Initially, Blom’s Key pre-distribution uses an integer finite field which makes this scheme easy to be intervened by attackers and criminal activists. Hence, this study suggests implementing the Elliptic Curve Cryptography to better enhance the security of the original Blom’s. In this proposed scheme, points generated from the elliptic curve will be appointed as public identifiers to be used in the original scheme. The private key and session key of each user are generated using the addition law mathematical operation with public identifiers assigned. Two users who intend to communicate with each other will obtain a common session key. Overall, the modification of Blom’s Key pre-distribution scheme will be presented in this study.
Efektivitas Metode Chain Writing terhadap Kemampuan Menulis Teks Deskriptif Bahasa Mandarin Mahasiswa Pendidikan Bahasa Mandarin Angkatan 2018 Universitas Negeri Malang

Abstract: In the process of learning to write Chinese descriptive text, students are required to be able to write essays using 汉字 [hànzì] 'Han Character that is appropriate and can be understood by the reader. The use of the chain writing method in learning focuses on writing activities actively and in groups. This study aims to determine the initial ability to write descriptive text in Chinese Language Education students, class 2018 Universitas Negeri Malang and the effectiveness of the chain writing method on the ability to write descriptive text in Chinese. The research method used is quantitative research with comparative non-parametric analysis. The data obtained in the form of pretest and posttest scores were analyzed using a Likert scale. Instrument testing is carried out using construct validity to material expert lecturers. From the results of the posttest for both classes, a U-test was conducted to see the difference in average scores, as well as an N-gain score test to see the level of effectiveness of using the chain writing method. The results showed that the chain writing method was effectively applied to the ability to write descriptive Chinese text for the 2018 Chinese Language Education students, Universitas Negeri Malang.&#x0D; Keywords: chain writing method, writing skill, descriptive text&#x0D; Abstrak: Dalam proses pembelajaran menulis teks deskriptif bahasa Mandarin, mahasiswa dituntut untuk mampu menuliskan karangan menggunakan汉字 [hànzì] ‘aksara Han’ yang tepat dan dapat dipahami oleh pembaca. Penggunaan metode chain writing dalam pembelajaran berfokus pada kegiatan menulis secara aktif dan berkelompok. Penelitian ini bertujuan untuk mengetahui kemampuan awal menulis teks deskriptif bahasa Mandarin mahasiswa Pendidikan Bahasa Mandarin angkatan 2018 Universitas Negeri Malang dan efektivitas metode chain writing terhadap kemampuan menulis teks deskriptif bahasa Mandarin. Metode penelitian yang digunakan adalah penelitian kuantitatif dengan analisis non parametrik komparatif. Perolehan data berupa skor pretest dan posttest yang dianalisis menggunakan skala Likert. Pengujian instrumen dilakukan menggunakan validitas konstruk kepada dosen ahli materi. Dari hasil posttest kedua kelas dilakukan uji-U untuk melihat perbedaan nilai rata-rata, serta uji N-gain score untuk melihat tingkat efektivitas penggunaan metode chain writing. Hasil penelitian menunjukkan bahwa metode chain writing efektif diterapkan pada kemampuan menulis teks deskriptif bahasa Mandarin mahasiswa Pendidikan Bahasa Mandarin angkatan 2018 Universitas Negeri Malang.&#x0D; Kata kunci: metode chain writing, kemampuan menulis, teks deskriptif
On Multi-Flow Model of the Development in Natural Sciences

A model of the knowledge development in natural sciences named "multi-flow model” is analyzed, and two examples of this model are examined. One of them has been formulated in the article of two domestic physicists M. I. Podgoretsky and Ya. A. Smorodinsky, who have explored the applicability of the axiomatic method in physics and concluded that the construction of such axiomatic structures as in mathematics is impossible in natural sciences because, unlike mathematical theories, physical theories are incomplete. The concepts of «meeting» and «contradictions of the meeting» are formulated. It is shown how in the process of analyzing the capabilities of the axiomatic method, the authors develop the mechanism of creating a new model. This mechanism consists of building a hierarchical series of "directions", which are the vertically stacked layers of knowledge. One could hope that the emergence of such directions would enrich modern natural sciences with new opportunities and results. However, the second example developed by a prominent physicist and brilliant methodologist Carl Rovelli, reveals that everything is not so simple. In some cases, newly created non-linear models may lead to a misinterpretation of the development of scientific cognition. It is shown that the terminology used by the authors of the first example is not quite adequate to the content of the model: the main term used by them — "direction" — is not sufficiently defined. In addition, the term changes the meaning of the analysis that has been done. In this regard, it is proposed to introduce a new term "flow" and call the model itself a "multi-flow model". Not multi-directional model, but multi-flow model. In the second example of the multi-flow model, C. Rovelli uses this model to restore the unity and integrity of scientific knowledge that has been destroyed in the post-classical period of science development. This attempt to implement the new synthesis has been made by Rovelli within the framework of the quantum gravity theory.
The Representation of Health Literacy Level in Millennial Adolescents Healthy Living Behaviour

The purpose of this study was to identify the level of health literacy among millennial adolescents in Indonesia based on gender, education level, and economic status, and their representation in healthy living behaviors. This research used a quantitative approach with a case study analysis method. Respondents are teenagers from 15-18 years old at high school. The questionnaire was distributed to 655 samples, in February-March 2021. The result showed that millennial adolescents had a habit of looking for health information, especially through electronic media. They explored the disease and medication when there were relatives who get ill. They communicated with medical workers and were likely to be interested in modern health information. They were able to analyze and critique health information although it was a simple one. Adolescents did not manage health information systematically because they did not study it deeper. The millennial adolescents had a literacy rate of functional, interactive, and critical in the good categories, but the value of the coefficient of critical literacy levels was low. The factors that influenced this level were a robust economy, excellent education, and female gender identity. The representation of the level of literacy was manifested in an understanding of disease, medication, and healthy lifestyles, simply limited to their needs as adolescents. The suggestion was the need to increase health information maximally; as well as role models for managing health information so that adolescents could implement health practices independently
PREDIKSI KESEMBUHAN PASIEN COVID-19 DI INDONESIA MELALUI TERAPI MENGGUNAKAN METODE NAÏVE BAYES

This study aims to predict the recovery of COVID-19 patients in Indonesia by using Data Mining calculations. The method used to predict the recovery of COVID-19 patients is the Naive Bayes method. The collection of datasets through trusted sources, the NIHR Innovation Observatory and datasets on an international/global scale, totaling 367 pieces of raw data that have not been filtered. After conducting the data feasibility test, the remaining 286 pieces of data will be divided into 70% of training data of 200 pieces of data and 30% of testing data of 86 pieces of data. Based on the test results, the use of the Naive Bayes method in predicting the recovery of COVID-19 patients obtained an Accuracy of 96.51%, a Success Precision (Yes) of 100% and a Failure (No) of 95.71%, and a Success Sensitivity (Yes) of 84.21% and Failed (No) by 100%. Therefore, it is concluded that calculations using the Naive Bayes method in this study will produce an accuracy rate of COVID-19 recovery of 96.51%, which means that the results of the predictions’ calculation of success and failure in a therapy given to patients can be accounted for as data reference in a more detailed subsequent research..
USING WHATSAPP AS AN INSTRUCTIONAL TOOL TO ENHANCE READING AND WRITING SKILLS: INDONESIAN EFL LEARNERS' PERCEPTION

This study intends to examine Indonesian EFL learners’ perception of using WhatsApp as an instructional tool to improve reading and writing skills. Covid-19 pandemic has made online learning compulsory for both teachers and students in which it is such a novel experience of instructional mode for some. WhatsApp as a pedagogical tool is thought to be feasible and readily available for the students and teachers to use at any time. With its features and capabilities to send multimedia messages such as images, recordings, audio, videos, and PDF files, it is believed to be potential to be used as a pedagogical tool. A five-point Likert scale questionnaire (1=strongly disagree; 2=disagree; 3=neutral/no opinion; 4=agree; 5=strongly agree) was employed to answer the research question. The result shows that the students perceived that using WhatsApp as a pedagogical tool can enhance reading and writing skills (average response = 3,53). It indicates that as a pedagogical tool, WhatsApp can be taken into account to be integrated into online learning.
Desain Lembar Kegiatan Peserta Didik (LKPD) Berbasis Guided Inquiry pada Mata Pelajaran Kearsipan Kelas X OTKP di SMK PGRI 13 Surabaya

This development research is motivated by the absence of Student Activity Sheets for Filing Subjects so that the learning process in the classroom is teacher centered and triggers students to be passive and less active in class. This study aims to describe the design process of Student Activity Sheet (LKPD) based on Guided Inquiry in the Class X Archive OTKP Subjects at SMK PGRI 13 Surabaya. This type of research is the development of Research and Development (R&amp;D) 4D models that are limited to 3D, namely Define, Design and Develope. Data collection instruments in the form of interview guides and LKPD evaluation questionnaires. LKPD is tailored for learning with a scientific approach and to improve student motivation and thinking ability with guided inquiry. The results showed that the design produced in the form of guided inquiry LKPD based on class X OTKP was included in the very feasible category for material and language aspects. After going through several stages of improvement, LKPD was also declared to be interesting and helpful in the learning of students based on the LKPD evaluation results. Thus, LKPD berbasis guided inquiry pada mata pelajaran kearsipan kelas X OTKP results of this design is feasible and can be continued to the dissemination stage and is used by students in the learning of Archives.
A Cloud Computing Based Study on Impact of Agriculture

The meticulous contemplation of this inspection allocate a comprehensive analysis about the subject-matter entitled ‘Cloud Computing’. Cloud computing is a vast array of network based environment which emphasis on areas such as sharing computations, storage, service, applications, and other cardinal computing resources. In the World of modernization, computing technology is an indispensable determinant, that is beneficial for all agricultural concomitant data catalogues including soil, weather, research, crop, farmers, agricultural marketing, fertilizer, and pesticide information in the cloud. Contemporary technological burgeoning precipitated a swingeing transmute in each respective domains comprehending agricultural sectors. Contradictorily, cloud computing technology is indisputably rebounding on cultivated fields.Moreover, it brings forth efficacious progress in both agricultural lands and services they yield. This indignation also directs one’s attention to computing model, characteristics, deployment model, cloud service model, cloud benefits and challenge of cloud computing in agriculture field.
Optimizing the Use of QR Codes in Web-Based Attendance Information Systems During the Covid-19 Pandemic (Case Study: KONI Salatiga City)

The Covid-19 pandemic that occurred in mid-March 2020 caused the situation to change completely, and companies and agencies began implementing physical distancing and work from home. KONI Salatiga City is one of the agencies affected by the Covid-19 pandemic. One of the sectors of the Salatiga City KONI that was affected was the attendance section. Attendance data retrieval conducted at KONI Salatiga City is still done manually by signing in the attendance book. Therefore, by utilizing the right information system technology, it can solve this problem. Namely by building a QR Code-based attendance information system. The method used in building an attendance information system is to use the waterfall method. This method is very effective in conducting system design because it is carried out systematically.
Pengembangan Lembar Kerja Siswa (LKS) Berbasis Multiple Intellegence dengan Teknik Pembelajaran Circuit Learning Materi Sistem Pencernaan Pada Manusia di SMP

This research is motivated by the facts found in the field that the low optimization of the utilization of teaching materials used by students causes the low level of education in science learning materials at SMP NI Padang Panjang. Teaching materials are usually used in the form of worksheets that have not been able to increase the exploration and development of the potential of various kinds of intelligence possessed by students in the learning process. The purpose of this research is to produce valid and practical teaching materials in the form of worksheets based on multiple intelligences using circuit learning techniques on the human digestive system. The type of research applied through this activity is research and development using a 4-D model consisting of define, design, and disseminated stages. The LKS product was validated by 2 biology lecturers at IAIN Batusangkar and 1 science teacher and a practical trial by 20 students of SMP N 1 Padang Panjang using validation instruments and practicum instruments. The validity obtained by this worksheet is measured from the average validity with a result of 84.3% in the very valid category and the average practicality with a result of 90.9% in the very practical category, so that multiple intelligence-based worksheets with circuit learning techniques can be used.
Шляхи подолання асиметричної інформації під час побудови точних моделей пандемій

The article substantiates the objective need to improve the existing models for predicting pandemic models, identifies the main factors for solving asymmetry problems. A relationship was revealed between the level of concern, the number of Internet requests on the Internet and non-compliance with quarantine restrictions. The authors have proven the danger of uncoordinated and unhurried actions on the historical example of a pandemic called "Spanish flu". For a general understanding of the topic, the action of the mechanism of artificial neural networks is schematically reflected, a model for predicting the SIR epidemic is built. The practical significance of the work lies in the fact that more accurate models for predicting the course of pandemics can save millions of lives and provide stable systems for the economic, social and political life of the population. Overcoming the incompleteness and inaccuracies of information will allow the leaders of states to avoid mistakes when making important decisions. Further research in the chosen topic will make it possible to obtain accurate data on the course of epidemics, and in the future, will help to overcome the problem of information asymmetry.
Blockchain Technology in Medical Data Management and Protection in India

Blockchain technology, per se, has already shown its prowess with the incredible ability to facilitate inter alia personalised healthcare in developed jurisdictions. The significant challenges of retaining and accessing authenticated healthcare records for an extended period of time and making them communication ready on-demand is a cakewalk for this technology. Strangely, the technology, irrespective of its viability and reliability, has not lived up to its potential when it comes to its acceptability in various developing jurisdictions, including that of India. This scenario changed, for good, with the intervention of the apex court where it decided to go against the Executive’s earls while the decision of refraining the use of blockchain technology in the economic portfolio of the country. This critical position must give way to a sustainable and uniform legal environment for the technology to facilitate and thrive to its potential. This research paper proposes to unravel the legal position of healthcare data management and the use of technology in India to estimate the viability of blockchain technology in healthcare in the coming years. The study would also explore significant challenges that technology can and may potentially bring in the healthcare sector in India, which may, consequentially, invoke certain restrictions through regulations. This would be aided by a comparative legal analysis, in the domain of international law, with regard to healthcare data and application of blockchain technology. This paper ultimately aims in proposing a policy that may act as a guideline for the use of technology in the healthcare sector in India and also in the Global South.