Reviewerly/exHarmony huggingface dataset:
Needs Analysis Blended Laboratory in The Context of the Adequacy of Supporting Facilities for Science Learning Using the Internet of Things and Augmented Reality

The blended laboratory model in this study refers to an integrated laboratory concept combining synchronous (real laboratory activities) using the Internet of things (IoT) and asynchronous learning with augmented reality (AR). The application of blended laboratory model in science learning teachers is still low in Indonesia due to the lack of ICT support for online learning. This preliminary study was conducted to analyze the need for the development of the blended laboratory model with IoT and AR involving 45 science teachers and 42 junior high school students as the respondents with stratified random sampling technique. The research method employed survey and focus group discussion. The results of the study showed that (1) 67% of teachers and 92% of students have never used AR, (2) 72% of teachers and 89% of students have never utilized IoT, (3) 65% of science laboratories in the junior high school do not have proper devices for AR application, (5) 76% of science laboratories in the junior high schools are not facilitated with proper equipment for the IoT application, (6) the respondents stated that the development of blended laboratory is very important (72%) and important (18%) to support IT-based learning, especially to deal with the conditions after the Covid-19 outbreak. ©2021 JSER. Universitas Negeri Yogyakarta
La educación en restauración frente a la pandemia de COVID-19

The pandemic due to the SARS-CoV-2 virus and the social consequences it has brought, has led to the reconfiguration of teaching practices in conservation-restoration in Mexico, the teachers and students of have had to generate strategies to continue learning at home. Every effort has been made to develop the competitions of each subject or workshop, classes were maintained online, an attempt was made to balance the academic load and to be empathetic with the mental health situation of all those involved, however, the practical work and the social relationship of the students with the cultural communities has been totally stopped. Our current situation has created spaces for reflection to rethink teaching work in order to fulfill the commitments established with the students and with the communities with which we work. The challenges not only arise in the classrooms, they also transfer to aspects of academic and administrative management. The new reality entails the creation of new cultural policies or regulations, especially in the way education is perceived within the Instituto Nacional de Antropologia e Historia (INAH).
Exploring the Direction of Korean Language Education on Vague Language Expressions

This study proposed a change in the direction of Korean language education on vagueness in terms of viewing vagueness as a natural language attribute and communication strategy. The point of the proposal is that the various semantic functions of vagueness should be incorporated into the educational content. Chapter 2 sets the foundation for educational discussion by clarifying the conceptual domain of vagueness and describing its core semantic functions. We discussed that vagueness is a dynamic concept that occurs in communication situations, and that its fundamental function is ‘extension of interpretable scope’. In addition, it was emphasized that ‘expanding the interpretable range’ plays a role in leading communication to various forms by influencing the establishment of relationships between expressors and receptors, the main agents of communication. Chapter 3 reflected on the current status of Korean language education on vagueness and proposed that the contents of education limited to the “accuracy” layer should be expanded to the “appropriateness and validity” level. Chapter 4 presents various semantic functions in which vagueness is expressed in conjunction with the context of communication, focusing on the syntax of dependent noun ‘Deung’, and presents detailed goals that Korean language education can take in each aspect. The above discussion is significant in that it pointed out the limitations of traditional Korean language education, which has beendealing only with vagueness as a negative factor that impairs ‘accuracy’, and proposed a more extended educational perspective.
Swing-up Control of a Reaction Wheel Pendulum Using the Actor-Critic Algorithm

In this study, we verified the performance of the swing-up control method for a reaction wheel pendulum using the actor-critic algorithm in both simulation and experiment and suggested the possibility that reinforcement learning, using shallow neural networks, can be applied to studying intelligent robots that act in real-world environments, such as a robot that teaches itself to walk through trial and error. The actor of the proposed actor-critic algorithm used the policy network to determine the rotational direction of the reaction wheel based on the angular position and velocity of the pendulum and the angular velocity of the reaction wheel. The critic used the value network to estimate the expected reward based on the same factors as the actor’s. In both simulation and in the real-world environment, through trial and error, the proposed algorithm successfully learned how to swing up and stabilize the pendulum by choosing the rotational direction ‒ between the clockwise and counter-clockwise directions ‒ of the reaction wheel.
A Survey on character Recognition based on Deep Learning techniques

This study has been undertaken to investigate the Tamil language characters by utilizing various Deep learning methods. RCNN is a sort of Artificial Neural Network (ANN) which is regularly comprises of twofold or triple layers skirts that has nonlinearities and clump standardization. Tamil is one among most conventional dialects particularly found on the southern districts of India. Perceiving a non-digitalized character in Tamil is an extremely challenging cycle in view of its huge and compound person set. In this paper RCNN Architecture which clarifies the RCNN layers and the trouble in acquiring the digitalized character from the RCNN Layer utilizing profound learning. This includes the informational collection preparing and pre-handling of all the Tamil characters. There are absolutely 256 characters in Tamil language in which the vast majority of the letters are practically comparable and just a slight change can be seen distinctly toward the end for a large portion of the characters, so perceiving a specific person is very troublesome and require exceptionally prepared datasets for recognizing every single characters.
Digital Human in an Integrated Physical-Digital World (IPhD)

With the rapid development of digital technologies such as VR, AR, XR, and more importantly the almost ubiquitous mobile broadband coverage, we are entering an Integrated Physical-Digital World (IPhD), the tight integration of virtual world with the physical world. The IPhD is characterized with four key technologies: Virtualization of the physical world, Realization of the virtual world, Holographic internet, and Intelligent Agent. Internet will continue its development with faster speed and broader bandwidth, and will eventually be able to communicate holographic contents including 3D shape, appearance, spatial audio, touch sensing and smell. Intelligent agents, such as digital human, and digital/physical robots, travels between digital and physical worlds. In this talk, we will describe our work on digital human for this IPhD world. This includes: computer vision techniques for building digital humans, multimodal text-to-speech synthesis (voice and lip shapes), speech-driven face animation, neural-network-based body motion control, human-digital-human interaction, and an emotional video game anchor.
Computer-generated hologram compression with attention-based deep convolutional neural network

We propose an attention-based deep convolutional neural network for computer generated hologram (CGH) compression, where a channel attention mechanism is applied to both computer generated hologram compression and reconstruction. By applying deep convolutional neural networks in the compression process, we can extract more compact and representative information than bicubic interpolation. Additionally, a channel attention mechanism is applied to selectively emphasize informative features and suppress less useful ones for both CGH compression and reconstruction. By employing attention mechanisms to enhance the feature representation ability of deep convolutional neural networks, we can further improve the performance of the reconstructed computer generated hologram. Experimental results show our method can better recover the compressed computer generated hologram than only employing convolutional neural networks in the reconstruction process.
Intellectual Property Toolbox for Mobile Applications Developers

This Toolbox offers practical guidance to app developers and app developer associations, companies developing mobile applications, research hubs, and others. It presents various tools on how to protect all or part of the IP in a mobile app.
Kendali Radio Repeater Komunikasi Dua Meter Band Menggunakan Sistem Telekontrol Dual Tone Multi-Frequency

Repeater strongly supports the use of radio communication equipment for communication. The location of the repeater is usually at a high altitude so that the repeater's radio wave beam is not blocked by anything. The repeater arrangement is done by going directly to the repeater location so it is very inefficient from the time and accommodation factor. Therefore, a study was conducted to control the radio repeater settings remotely in order to reduce the accommodation of repeater control by visiting the radio repeater location. Control of radio repeater settings uses DTMF (Dual Tone Multi-Frequency) technology which sends DTMF signals and then converts them to binary data to be processed into data that is used for repeater control such as turning on and off the radio, setting high and low power, and adjusting channels on the repeater. the radio repeater. This system is also equipped with sending notifications in the form of SMS of the repeater operational conditions or settings. The research resulted in a remote control system based on DTMF technology equipped with a GSM/GPRS SIM800L module which is used to connect a smartphone to the system and send repeater operational notifications after controlling the repeater setting function. By using Telkomsel provider, the resulting delay when sending orders is 0.5 seconds and the delay in receiving SMS notifications is 12.96 seconds. Meanwhile, using Indosat provider, the resulting delay when sending commands is 0.43 seconds and the delay in receiving SMS notifications is 10.57 seconds.
APLIKASI PENAMPIL WARNA PELITUR PRODUK FURNITURE DENGAN AUGMENTED REALITY DI TOKO UD. CIPTA KARYA DENGAN ALGORITMA FAST CORNER DETECTION

The furniture industry is very much sought after by consumers because of its many uses and plays an important role in household life and daily activities. In its development, consumers want results that are as expected, therefore augmented reality is created which can be scanned on the camera so that objects appear in 3D and consumers can get a picture and producers can provide additional explanations. This augmented reality android application was developed using Unity 3D software and an engine from Vuforia by applying the fast corner detection algorithm method. The results of the target image detection test are influenced by several factors such as light intensity, distance and angle of detection, these affect the marker detection process. When the light intensity is low, the marker detection process is getting more difficult. The farthest distance that can be achieved to detect markers is around 70cm. The test results of the marker's point of view can be detected with a slope angle of +45o. And based on the test results on the ar system of this application, the accuracy level of marker detection is very good
Visual Analysis of Core Literacy of English in China Based on CiteSpace

In recent years, the topic of core literacy unabated in China since it was promulgated, and the number of domestic research literature on core literacy of English subject has increased significantly. Therefore, it is necessary to investigate and analyze the present situation, and the systematic analysis and evaluation of the hot spots and frontiers of its research can help researchers to better grasp the research situation and play an important role in promoting the positive practice of front-line teachers. This paper uses CiteSpace knowledge information visualization software and EXCEL analysis software to analyze the core literacy of English subject in China in the past five years.
Defining discourse relations: Supracorpora database of connectives

The research is focused on definitions of discourse relations, a topic that is currently little-studied.The paper gives a brief overview of existing solutions for discourse relations definitions: Rhetorical Structure Theory (RST), Segmented Discourse Representation Theory (SDRT), Penn Discourse Treebank (PDTB), and Cognitive approach to Coherence Relations.The author shows criteria used to define a discourse relation, or, in case of a narrower definition, a logical-semantic relation, in these approaches and outlines the shortcomings of the described definitions.The author also describes the principles used to build the classification and the definitions of logical-semantic relations (LSR) in the Supracorpora Database of connectives (SDB).The classification is based on four basic semantic operations upon which rests every LSR's definition: implication, location on the chronological scale, comparison, correlation between specific and general or an element and a set.The classification consistently distinguishes the levels at which the LSR can be established: propositional, illocutionary, and metalinguistic.Each LSR is defined on the basis of these two criteria.Thus, for example, for the LSR of alternative based on the comparison operation, one has the choice between the LSR of propositional, illocutionary and metalinguistic alternative (We will go to the mountains or to the sea vs. Put the gun away, or are you scared? vs.The symbol of the year or, simply speaking, cutie-pie).In case of LSRs based on implication or comparison, the polarity criterion is added, distinguishing whether the LSR is established between p and q or their negative correlates ¬ p and ¬ q are also to be taken into account in order to obtain a correct interpretation (cf.well-known descriptions of how the Russian conjunction no 'but' functions).In addition, semantic and pragmatic characteristics of the context are also considered in the classification.For example, in the case of the LSR of specification and generalization, the semantic correlation between p and q (together with their intensional and extensional interpretations) is taken heed of.Several definitions of LSR and corresponding examples are provided.Thus, the LSR of extensional specification is defined as follows: based on the operation of correlation between the general and the particular; established at the propositional level; X contains a generalized notion or state of things p; Y contains a more particular q-notion, limiting p-extensional.And the LSR of intensional specification is defined as follows: based on the operation of correlation between the general and the particular; established at the metalinguistic level; X contains a generalized concept or state of things p; Y contains a more particular q-notion, limiting p-intensional.The definitions used in the SDB definitions make it possible to evaluate, on the basis of the proposed criteria, the semantic closeness of relations and increase the level of consistency in the work of experts and annotators.That in turn increases the value of the annotated material, and therefore its reliability.
Study on General Methods of Teaching Music in the Primary School

Pupils learn music through many and different ways. Various methods, approaches and strategies of teaching are described in the literature. Teaching music is an art and activity which require teachers to use a combination or an integration of some of these methods and strategies to provide effective learning experiences to pupils. Efforts to shift music education toward a more constructivist practice have significant implications for policymaking at all levels of music education. The aim of this article is to present overviews of some general approaches and strategies of teaching music based on the constructivist theory of teaching in the primary school. It will cover the lecture, demonstration and modelling, discovery, video showing, field trip, role-play, project, questioning technique, assignment, and the discovery methods of teaching. The paper will also highlight factors that determine the selection of a teaching method for a particular lesson and finally, stages in teaching.
The Galactic Internet

We should consider that an ET transmission may be part of a larger network. The detection of one nearby civilization would mean it is likely that there are others and potentially many others. The main question at that point is whether the others are close enough to each other for multipoint communication to get started.
A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes

Gaussian Processes (GPs) are powerful nonparametric distributions over functions. For real-valued outputs, we can combine the GP prior with a Gaussian likelihood and perform exact posterior inference in closed form. However, in other cases, such as classification, preference learning, ordinal regression and mixed problems, the likelihood is no longer conjugate to the GP prior and a closed-form expression for the posterior is not available.
Chapter 8. Graphing Out Communities and Cultures in the Archives. Methods and Tools

The growth and population of the Semantic Web, especially the Linked Open Data (LOD) Cloud, has brought to the fore the challenges of ordering knowledge for data mining on an unprecedented scale. The LOD Cloud is structured from billions of elements of knowledge and pointers to knowledge organization systems (KOSs) such as ontologies, taxonomies, typologies, thesauri, etc. The variant and heterogeneous knowledge areas that comprise the social sciences and humanities (SSH), including cultural heritage applications are bringing multi-dimensional richness to the LOD Cloud. Each such application arrives with its own challenges regarding KOSs in the Cloud. With contributions by Sören Auer, Gerard Coen, Kathleen Gregory, Mohamad Yaser Jaradeh, Daniel Martínez Ávila, Philipp Mayr, Allard Oelen, Cristina Pattuelli, Tobias Renwick, Andrea Scharnhorst, Ronald Siebes, Aida Slavic, Richard P Smiraglia, Markus Stocker, Rick Szostak, Marnix van Berchum, Charles van den Heuvel, J. Bradford Young, Veruska Zamborlini and Marcia Zeng.
The relationship between family’s use of English at home with students’ proficiency in the language.

In Malaysia, English is considered a ‘strong’ second language (Azman, 2016). Realising the importance of English, many Malaysian families opt to speak English at home, even though English is not their first language (Hashim, 2014; Mohamed Salleh, Kawaguchi, Jones, & Biase, 2016; Salehuddin, 2012). Therefore, this paper aims to examine the correlation between home factor and ESL students’ proficiency in the language. The participants were three bilingual Malay-English students studying at International Islamic University Malaysia (IIUM). Each family of the student practices different communication strategy at home; the first family uses the acrolect variety of Malaysian English (ME), the second family uses the mesolect variety of ME and the third family does not use English at all. Data regarding the family’s use of English were obtained via questionnaires and the proficiency of the students were measured from the English proficiency test, taken from the University of Michigan database. The results show that the differences between the students’ English proficiency were not noticeably different as all of them scored above 80% in the test. The findings indicate that there might be other external variables responsible for the students’ proficiency in English other than the home factor. Azman, H. (2016). Implementation and Challenges of English Language Education Reform in Malaysian Primary Schools. 3L: The Southeast Asian Journal of English Language Studies, 22(3), 65-78. Hashim, A. (2014). English and the linguistic ecology of Malaysia. World Englishes, 33(4), 458-471. Mohamed Salleh, R. T. A., Kawaguchi, S., Jones, C., & Biase, B. D. (2016). The development of plural expressions in a Malay-English bilingual child. Asiatic, 10(2), 60-81. Salehuddin, K. (2012). The acquisition of English negative constructions by a Malay bilingual child. 3L: The Southeast Asian Journal of English Language Studies, 18(4), 181-191.
Formation of the communicative culture of preschoolers using game activity

The study examines the most significant problems associated with the formation of the communicative culture of preschool children. The main attention is paid to gaming technologies that have a high level of pedagogical efficiency. The reasons for the emergence of problems in the communicative interactions of preschoolers are analyzed; the theoretical foundations in the organization of research aimed at creating a play space that forms the communicative culture of preschool children are proposed. Organizational and pedagogical conditions for the development of the communication skills of preschoolers are highlighted, among which are game technologies that use the capabilities of theatrical art, which can become the basis for the functional development of a preschooler’s personality and their ability to fully communicate with others. On the other hand, the very communicative culture of preschool children is assessed as a mechanism of their socialization and inculturation. The study provides a typology of gaming technologies that are relevant for the development of individual communication skills and the general personal development of children of this age. The study may be of interest to a wide range of specialists in the field of preschool pedagogy, psychology, and children’s art.
Development of a Modified Jump Point Search (MJPS) Method for Considering Danger Zones

Graph search-based path planning algorithms have been widely applied for path planning in autonomous robot systems. Among these algorithms, the jump point search (JPS) method, adopted in this study, is a variant of the well-known algorithm A* and utilizes a unique node search strategy called “jump.” The jump makes the JPS method one of the fastest graph search-based path planning algorithms. However, while the A* algorithm can be easily modified for identifying uneven environmental conditions (e.g., danger zones), danger zones cannot be handled in the JPS algorithm because the jump strategy removes plenty of nodes, including the essential ones for avoiding danger zones. To obtain a reasonable path in uneven environments, this study proposes a modified version of the JPS algorithm called the modified jump search method (MJPS). The MJPS method enables danger zones to be recognized and thus avoided during path generation by introducing bordering and additional nodes. To validate the proposed method, numerical simulations will be performed, and the results will be analyzed by comparing it with the A*-based path planning results.