Reviewerly/exHarmony huggingface dataset:
The Effect of Transformative Blog Pages to Solve Real-World Physics Problems

A blog page is a vital tool to share and discuss information in real-world problem-solving. Unfortunately, this potential of blogs rarely was used to facilitate the problem-solving in specific physics topics. This study aimed to describe and examine a blog transformation in improving students’ problem-solving. Through 40 university students, this study compared two physics learning sessions using transformation blogs and modules as resources. The results showed the advantages of blog transformation. We also discussed the differences between students’ cognitive levels based on the new taxonomy of educational objectives. Instructors can model this study in designing a transformative technology to solve, map, and improve students’ problem-solving skills in the semiconductor topic.
CONCEPTUAL AND METHODOLOGICAL PRINCIPLES OF PERIODIZATION OF THE HISTORICAL AND PEDAGOGICAL PHENOMENON

Based on the analysis of the achievements of the classical and modern philosophical, psychological and pedagogical knowledge, theoretical and methodological foundations for substantiating the periodization of the historical and pedagogical phenomenon are determined. In this regard, the general scientific, pedagogical and historical-pedagogical approaches have been characterized, their importance has been proved to ensure the narrative nature of the study, the unity and continuity of the historical-pedagogical process.It is proved that the periodization of historical and pedagogical phenomena is one of the most complex, complex and multilevel problems of scientific knowledge. Periodization requires a thorough study of the object of study, data related to the pedagogy of science, a developed scientific and methodological worldview of the researcher. Analysis of the state of periodization of historical and pedagogical phenomena will identify the most typical shortcomings in the implementation of this scientific task, so to create conditions for further development of methodological foundations of historical and pedagogical science.The article states that classical and modern philosophical teachings are reflected in general and specific scientific methodologies of historical and pedagogical research, the main provisions of which are interdependent and interact with each other. This approach ensures the objectivity and narrative of scientific research, which is aimed at justifying the periodization of the historical and pedagogical phenomenon. Analysis of the methodological foundations of the problem allows us to conclude that their specificity is a combination of the doctrine of cognitive and practical methods. Therefore, the definition of theoretical and methodological principles of studying periodization is not only a means of achieving a high level of generalization, but also a tool for the practical transformation of pedagogical reality on a scientific basis. Key words: period ization, historical and pedagogical phenomenon, development, scientific approaches, philosophical doctrine.
A photo-sharing social network based on blockchain technology

The online social networks have greatly transformed the way that people interact with each other, and have salient impact on our lives. However, there exist common security challenges and limitations in attracting users' activities due to the centralised structure of current online social networks. We exploit the blockchain technology to design a new photo-sharing social network, in which users' social behaviours are stored in the blockchain. Blockchain technology allows the authenticity and credibility of data to be improved and precludes data tampering. To improve efficiency, we design a new blockchain consensus algorithm to support fast and frequent transactions. Moreover, a new incentive model is designed to quantify the contribution of user in a more accurate and trustworthy way, thereafter, reward the user with financial incentives, as well as enable the user to easily control and claim the ownership of every photos they share to the network.
The Empirical Research on Multimedia Teaching Based on Autonomous Learning Ability

The competitiveness and development potentiality of college students depends on whether they have strong autonomous learning ability or not. English Teaching in China is gradually developing towards the direction of diversification, autonomy and active learning. Autonomous learning is the subject which is through the students' independent analysis, exploration, practice and other methods to achieve learning goals. Autonomous learning is a new learning mode in China. It is a capability that learners must have under the new college English teaching reform. Cultivation of autonomous learning ability is the need of social development to adapt to the challenges of new century. The application and development of multimedia teaching in China provide a good environment for autonomous learning.Through multimedia teaching, increasing students' interest in learning, improving students' learning efficiency and enhancing students' autonomous learning ability become a feasible teaching method in the new era. For it can explore new era of multimedia teaching of the advantages and disadvantages and whether the autonomous learning has a positive effect on students’ English learning.
STUDENTS’ ARCHITECTURE AND ART PROJECTS IMPLEMENTATION IN THE SUBJECT- SPATIAL ENVIRONMENT OF UNIVERSITY AS THE METHOD TO INCREASE SELF-MOTIVATION IN PROFESSIONAL CREATIVE SELF-EXPRESSION

The article examines the problem of increasing self-motivation in professional creative self-expression of university students studying art. . The authors of the study believe that implementation of students’ training architecture and art projects should become the basis for developing education programs for art schools. The idea can be implemented providing that students will be involved into the process of university subject-spatial environment creation; education programs will be adapted to implementation of students’ training architecture and art projects; the situation of success will be created in the process of education activities. All these factors will help to increase students’ self-motivation in professional creative self-expression. The authors justify the necessity of creation of the education conditions mentioned above and provide the findings of the study.
The Use of Persuasive Speech Acts by Female Arab Fashion Influencers

This study investigates the persuasive speech acts used by six female Arab fashion influencers on Instagram, namely, Joelle Mardinian, Ascia, Model_Roz- Ola Al Fares, Dalal AlDoub, and Maya Ahmad based on the framework of Speech Act Theory (SAT). The data were collected manually from the posts of the target influencers on Instagram and were put together in a specialized corpus containing approximately, 20,000 words. The corpus was manually annotated to include pragmatic information about the types of persuasive speech acts used by each influencer. The results reveal that the majority of speech acts identified by Searle (1979) were used by the target influencers with different frequencies except for declarative speech acts whose function is incompatible with the function of persuasion. The results also show that the most frequently used speech act was the assertive act followed by directives and expressives. However, the least used speech acts were commissives and quotations. In addition, the results demonstrate that the majority of the speech acts used by the influencers were indirect speech acts. The study concludes with marketing implications and recommendations for further research.
Improvement of Human Action Recognition Using 3D Pose Estimation

While Human Action Recognition (HAR) using motion capture can perform well with high accuracy, it requires a high computational cost for recording and post-processing. To avoid this, we build a HAR system using 3D pose estimation from the single-camera video instead of motion capture. One drawback in this approach is that the performance is considerably dependent on the camera position. This paper investigates how we can use the pose estimate constantly without the effect of camera position even when the camera position in the test data is changed. We augment the data by rotating around the 3D pose estimate to improve the accuracy when using different camera positions in the test data and in the training data. The strategy of augmenting training data shows improvements up to 55.7% in accuracy, compared with the case of 2D pose with no augmentation.
Regularization of Neural Network Using DropCoadapt

Complex co-adaption between hidden neurons prevents fine tuning of all parameters by overfitting, especially in deep neural models. Dropout has played an essential role to tackle this problem. However, dropout suppress neurons blindly. In this paper, we present a technique to assign dropout rate according to co-adaption pressure, called DropCoadapt. At first, it identifies co-adaption clusters on hidden units. We define the term co-adaption pressure as the density of co-adaption in each co-adaption clusters. Then, the dropout rate updates for each neuron according to the obtained co-adaption pressure. Experimental results on MNIST and CIFAR-10 datasets confirm that DropCoadapt obtains better performance and outperforms other methods.
La relazione di cura nell'era della comunicazione digitale

In the age of digital communication and social networks, the doctor-patient communication is increasingly performed via remote, using means like e-mails, SMS, WhatsApp messages and so on. This article deals with the issue of the depersonalization of the doctor-patient relationship, as well as on the emergence of new basis of medical liability related to the use of digital communication means.
On the Implementation of Immersion English Teaching Method in the Elementary School Class

As a typical form of foreign language teaching, the immersive English teaching model attaches importance to the communication and interaction between students and teachers, emphasizes on creating a vivid English language environment for students, guides students to gradually acquire knowledge and skills in the language training process, and enhances students' English language application ability in a subtle way. This article focuses on the current situation of immersion English teaching and its problems, focusing on the analysis and exploration of the implementation path of immersion English teaching in the elementary school classroom.
Populating 3D Scenes by Learning Human-Scene Interaction

Humans live within a 3D space and constantly interact with it to perform tasks. Such interactions involve physical contact between surfaces that is semantically meaningful. Our goal is to learn how humans interact with scenes and leverage this to enable virtual characters to do the same. To that end, we introduce a novel Human-Scene Interaction (HSI) model that encodes proximal relationships, called POSA for Pose with prOximitieS and contActs. The representation of interaction is body-centric, which enables it to generalize to new scenes. Specifically, POSA augments the SMPL-X parametric human body model such that, for every mesh vertex, it encodes (a) the contact probability with the scene surface and (b) the corresponding semantic scene label. We learn POSA with a VAE conditioned on the SMPL-X vertices, and train on the PROX dataset, which contains SMPL-X meshes of people interacting with 3D scenes, and the corresponding scene semantics from the PROX-E dataset. We demonstrate the value of POSA with two applications. First, we automatically place 3D scans of people in scenes. We use a SMPL-X model fit to the scan as a proxy and then find its most likely placement in 3D. POSA provides an effective representation to search for affordances in the scene that match the likely contact relationships for that pose. We perform a perceptual study that shows significant improvement over the state of the art on this task. Second, we show that POSA's learned representation of body-scene interaction supports monocular human pose estimation that is consistent with a 3D scene, improving on the state of the art. Our model and code are available for research purposes at this https URL.
READABILITY OF ELEMENTARY SCHOOL TEXTBOOKS IN THE CITY OF SEMARANG THROUGH MULTILITERATION STUDY

The textbooks used in elementary school, as a component of the learning system, are expected to have a number of requirements that have been studied in multiliterate so that, in the end, the existing books can be used effectively, up to date, and technologically. This research aimed to determine the extent of the applicability of elementary school textbooks in the city of Semarang, seen from the multiliterate approach (multiliterate), which includes the effectiveness study on curriculum applications and teaching plans, content indicator applications, communication indicator application, creativity indicator application, and cosmetic book application from various scientific disciplines. The research design was carried out in a descriptive documentary regarding the readability of the elementary school textbooks in Semarang City, which was examined in multiliterate, covering these five aspects. The population consisted of textbooks used by the Elementary school students in the area of Semarang, and the research sample was two textbooks per class, comprising one compulsory textbook (from the Culture and Educational Ministry) and one supplementary textbook by certain parties; with the scope of the theme in the second quarter. Data sources included (1) textbooks, and (2) informants, namely Class Teachers, as a content expert and Media expert. Data were collected through documentary studies and interviews, which were analyzed qualitatively and quantitatively. The research results obtained, among others (1) integrated thematic book curriculum 2013, which was obliged to use by Kemdikbud Jakarta in the learning in elementary school, from class I to class VI, published by PT. Thursina Mediana Utama, Jakarta, has been had already high quality. On average, it has high effectiveness of curriculum and learning applicability, adequate content applicability, adequate effectiveness of communication process applicability, and high effectiveness of creative and cosmetics applicability. As a compulsory book, it has met the technical requirements of a textbook and is very representative for use as a textbook for students, especially elementary school students. (2) Elementary school learning supplementary textbooks published by Erlangga publisher, PT. Gelora Aksara Pratama printing and Yrama Widya Publisher, Jakarta, already have high quality as well. On average, it has high effectiveness of curriculum and learning applicability, adequate content applicability, adequate effectiveness of communication process applicability, and high effectiveness of creative and cosmetics applicability. As a supplementary book, it is sufficient to qualify as a student textbook in elementary school
Rancang Bangun Aplikasi untuk Analisis Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Akademis AMIK Imelda Medan dengan Menggunakan Algoritma Servqual

AMIK IMELDA is one of the campuses that foster students at the diploma three or academic level with several majors and consistently serves students both in terms of teaching and administrative services, to ensure that the service process is well delivered to every important component in the institution in providing the best for students because students are part of the campus that cannot be separated from the activities in the AMIK IMELDA environment, but until now there has been no analysis process to ensure the level of service in the AMIK IMELDA environment. In measuring the level of academic service at Amik Imelda using the SERVQUAL approach where the process is used to measure the service quality of the attributes of each dimension, so that a gap value will be obtained which is the difference between consumer perceptions, in this case, students towards the services that have been received. with the hope of being accepted. The measurement of this method is by measuring the service quality of the attributes of each dimension, so that the value of the gap will be obtained which is the difference between consumer perceptions of the service received and consumer expectations of the service to be received. The purpose of this study is to analyze the level of satisfaction with academic services by all academic communities in the AMIK IMELDA Medan environment with several assessment factors for services that refer to reliability, namely the ability to implement in a timely and reliable manner, responsive to the readiness of all environmental elements in providing service quickly and responsively, Assurance, namely the ability of staff to know the right service, quality of hospitality, attention and courtesy in providing services, skills in providing information, Emphaty, namely individual attention given to students by the Institution and the last is Tangible, covering appearance of physical facilities, such as the front office building, parking available, cleanliness, tidiness and comfort of the room, complete communication equipment and appearance. This type of research is product development by following the process of data collection, problem analysis, application of the chosen method and continued with application design up to the testing stage. This research is a research of SKIM PDP (Beginner Lecturer Research) which is included in the basic research category with TKT 1-3 sizes, the target outcome in the study is the main target of publication in accredited national journals with additional isBN books and registered with Haki
Multi-Source Attention for Unsupervised Domain Adaptation.

We model source-selection in multi-source Unsupervised Domain Adaptation (UDA) as an attention-learning problem, where we learn attention over the sources per given target instance. We first independently learn source-specific classification models, and a relatedness map between sources and target domains using pseudo-labelled target domain instances. Next, we learn domain-attention scores over the sources for aggregating the predictions of the source-specific models. Experimental results on two cross-domain sentiment classification datasets show that the proposed method reports consistently good performance across domains, and at times outperforming more complex prior proposals. Moreover, the computed domain-attention scores enable us to find explanations for the predictions made by the proposed method.
Evolutionary Multi-objective Optimization: A Bibliometric Study

Evolutionary algorithms are among the most popular methods for solving optimisation problems. The use of metaheuristics emulating the natural evolution of living organisms dates back to the 1970s. In this study, a particular focus is put to use these evolutionary techniques to solve multi-objective optimisation problems. Based on a bibliometric and network analysis, the paper provides a review of 5,549 scientific publications (journal articles and book chapters) on the field before June 2019. The top contributing authors, journals, organisations, and countries are identified, as well as the most used key-words related to the topic. Then, the most influential papers are compared on the basis of citations and PageRank. The established research clusters and emergent research directions are also discussed.
Kalman-based nested hybrid filters for recursive inference in state-space models

We introduce a new sequential methodology to calibrate the fixed parameters and trace the stochastic dynamical variables of a state-space system. The proposed framework is based on the nested hybrid filters (NHF) of [1], that combine two layers of filters, one inside the other, to compute the joint posterior probability distribution of the static parameters and the state variables. In particular, we explore the use of deterministic sampling techniques in the first layer of the algorithm, instead of Monte Carlo methods, which reduces computational cost and so makes the algorithms potentially better-suited for high-dimensional state and parameter spaces. We present numerical results for a stochastic Lorenz 63 model.
Penerapan Data Mining Menggunakan Metode Clustering untuk Menentukan Status Provinsi di Indonesia 2020

Coronavirus is a group of viruses that can cause disease in animals or humans. Several types of coronaviruses are known to cause respiratory infections in humans ranging from cold coughs to more serious ones such as Middle East Respiratory Syndrome (MERS)  and Severe Acute Respiratory Syndrome (SARS). A new type of Coronavirus has been found to cause COVID-19. In Indonesia alone, this virus began to spread from the beginning of March until now. Many areas affected by this virus. There are also many regions  where the level of outbreaks of this virus tends to be small. The choice of clustering method in the classification process to divide regions in Indonesia to be divided into red or yellow or green zones is based on calculations using the K -Mean clustering  formula. KMeans Clustering algorithm is an algorithm that groups the same data in a certain group and different data in another group. The results of the grouping of regions included in the red zone are Jakarta with a number of more than 7,000 positive patients infected, for those entering the yellow zone namely Banten with more than 800 positive patients infected. And as many as less than 600 infected patients can be categorized as green zones.
정체성에 따른 번역가 문체 연구: 장소 직시를 중심으로 한 안정효의 번역 및 창작 텍스트 코퍼스 분석 사례

Since the mid-1990s, scholars including Hermans (1996) and Baker (2000) have posited that all translators leave behind traces in their translations. Translation style research, which attempts to identify individual stylistic traits that are distinctive from source texts (ST) or other translators, has significantly advanced. However, few studies have explored the style of a single translator by comparing translations and creative works. In this respect, this study investigates the style of one translator in relation not only to ST but also to creative writings as a new dimension of analysis. Specifically, it presents the case study of Korean translator Ahn Junghyo as he is prolific in both areas of translation and literary writing. This study adopts a corpus-based approach, focusing on lexical diversity, mean sentence length, and spatial deixis markers “here” and “there.” Findings reveal that the lexical diversity of ST and the use of spatial deixis in his original writings affect the translation style of Ahn Junghyo. Indeed, mean sentence length deviates from both ST and his original writings. This implies that Ahn Junghyo produces a variety of stylistic features according to his identity either as a translator or a writer, which results in a translated text with distinctive stylistic features.