Reviewerly/exHarmony huggingface dataset:
Analisis Keterampilan Menulis Dengan Menggunakan Model Pembelajaran Course Review Horay Di Sekolah Dasar

The purpose of this study was to analyze whether student learning outcomes in writing narrative in elementary school could be improved through the course review horay learning model. This research uses qualitative research with literature study method. Sources of data used in this study are books and journals related to writing skills using the course review horay learning model. Based on searches on Google Scholar, 10 journals were found that have been selected, the course review horay learning model can improve student learning outcomes. The course review horay learning model can not only improve the results of writing practice, but students can also understand the concept of writing skills properly and correctly because the concept of the material to be discussed can be studied in a directed manner.
Genre-Based Approach to Elementary School Teachers in Jahiang Village, Salawu Sub-District, Tasikmalaya

Departing from a case that Elementary school teachers in Jahiang village still have difficulties in supporting the government’s literacy program, GLS (Gerakan Literasi Sekolah), this study is addressed to develop those teachers’ skills in teaching texts through a workshop, focusing on the socialization of Genre-Based Approach implementation in Elementary school level. Specifically, this workshop was followed by twenty elementary schools from four schools and guided by three trainers. The method used in this workshop is lecturing, combined with small and whole class discussion, as well as a demonstration. As the conclusion, this workshop could help the teachers in designing some activities in teaching texts under Genre-Based Approach framework.
Characterizing entanglement from correlations: the multi-partite case

In this talk we will discuss how entanglement is defined with respect to separability, and how the strategies for quantifying two-party entanglement can be extended to multiple parties. Though residual entanglement (i.e., what is left when two-party entanglement is subtracted away) is a popular concept for measuring three-party entanglement, we criticize this and expand on a new resource-based measure known as the tri-partite entanglement of formation. Though there remain multiple fundamental questions to be answered on measures of multi-partite entanglement, we show how the tri-partite entanglement of formation can be bounded from below using experimental correlations in much the same way as was done for two parties. Moreover, we give examples showing how much tripartite entanglement may be present in entangled photon triplets generated in nonlinear optics, and provide a general witness for N-partite entanglement. In our development of the N-partite witness, we also discovered something interesting about the nature of quantum correlations. Though there is no quantum-imposed limit to the correlations two parties can share (e.g., in both position and in momentum), there is such a limit for three or more parties.
ANALYSIS OF DEIXIS IN STEPHEN COLBERT’S COMMENCEMENT SPEECH

The aims of this study is to determine the five types of deixis used by Stephen Colbert in his speech at the Wake Forest Graduating Class of 2015. In this study, qualitative descriptive methods was applied and video was choosen as the instrument of data collection. This data were analyzed based on deixis types suggested by Levinson (1983) and Yule (1996). The type of deixis most frequently used by Stephen Colbert in his speech was a person deixis totaling 232 words dominated by the word ‘I am’ . Time deixis 26 words, place deixis nine words, discourse deixis 48 words, and social deixis 34 words. With a total of 349 frequencies found in all five types of deixis in Stephen Colbert's commencement speech. Keywords : Pragmatic, deixis, speech.
LLOD-Driven Bilingual Word Embeddings Rivaling Cross-Lingual Transformers in Quality of Life Concept Detection from French Online Health Communities

We describe the use of Linguistic Linked Open Data (LLOD) to support a cross-lingual transfer framework for concept detection in online health communities. Our goal is to develop multilingual text analytics as an enabler for analyzing health-related quality of life (HRQoL) from self-reported patient narratives. The framework capitalizes on supervised cross-lingual projection methods, so that labeled training data for a source language are sufficient and are not needed for target languages. Cross-lingual supervision is provided by LLOD lexical resources to learn bilingual word embeddings that are simultaneously tuned to represent an inventory of HRQoL concepts based on the World Health Organization’s quality of life surveys (WHOQOL). We demonstrate that lexicon induction from LLOD resources is a powerful method that yields rich and informative lexical resources for the cross-lingual concept detection task which can outperform existing domain-specific lexica. Furthermore, in a comparative evaluation we find that our models based on bilingual word embeddings exhibit a high degree of complementarity with an approach that integrates machine translation and rule-based extraction algorithms. In a combined configuration, our models rival the performance of state-of-the-art cross-lingual transformers, despite being of considerably lower model complexity.
Ethnovocal education today: vectors of development

The problems of modern culture related to the dynamics of the folklore tradition and its development have set scientists and practitioners the task of predicting the development of folk singing culture and awareness of the possibility of human influence on this self-developing system, the solution of which is closely related to education. In Russia, there is a holistic, dynamic system of professional ethno-local education, the development of a strategy for its development in the modern cultural space, requires the definition of the vectors of this development, one of them is called immersive, which helps to create an imitation of the folklore sound environment, increase the efficiency of deciphering and notifying folklore texts, analyze and master works of art of the oral tradition. The solution of the main task of ethno-local education – the formation of a new professional: a teacher, researcher, performer directly depends on the ethnically oriented content of educational programs, the use of innovative technologies, the definition of prospects, the foundations of the future paradigm of the considered education.
Pengetahuan Mahasiswa Mengenai Kesiapsiagaan Bencana di Universitas Binawan Jakarta

Indonesia is a country that is very prone to disasters. Disasters that have occurred repeatedly in Indonesia have resulted in significant loss of both economy  and lives. Thus, adequate preparedness measures are needed to minimize these losses. Students as agents of change need to have good knowledge about disaster preparedness so that they can provide positive changes in society related to disaster preparedness. The purpose of this study is to analyze the level of knowledge of Binawan University students regarding disaster preparedness. The method used in this research was descriptive analytic. The sample in this study were Binawan University students who met the inclusion criteria set by the researcher. Purposive sampling technique was used to determine the number of participants needed. Data analysis was performed using univariate analysis which was carried out on respondents’ characteristics (age and gender) and knowledge variable using percentage and proportion measures. The results show that a number of 207 (65.1%) respondents had low level of knowledge about disaster preparedness. The conclusion obtained from this study is that Binawan University students do not yet have a good level of knowledge which may be due to the unevenness of integrating curriculum regarding disaster preparedness in all majors. The suggestion that researcher can propose is to integrate the disaster preparedness curriculum in all majors so that all students can have the opportunity to increase their knowledge regarding disaster preparedness. The result of this research can also serve as a background for conducting disaster-related training for students
Correlating Discriminative Quality Factors (CDQF) for Optimal Resource Scheduling in Cloud Networks

The Correlating Discriminative Quality Factors (CDQF) for Optimal Resource Scheduling in cloud networks has been addressed in this manuscript. It is since the resources under the cloud platform are loosely coupled according to the SLA between the cloud platform and the resource partakers. This enables the possibility of multiple resources from diversified partakers, those intended to accomplish similar services. The resource scheduling intends to select one resource among available resources to accomplish the scheduled task(s). The contemporary contributions related to resource scheduling are specific to traditional QoS factors, including cost, deadline constraints, and power consumption. However, the quality of service is often influenced by the contextual factors of the IAAS. Hence, this manuscript portrayed a novel resource scheduling strategy that orders the resources under the degree of optimality proposed in this manuscript. Unlike traditional resource scheduling methods, this manuscript portrayed a set of context-related factors that are further used to define the heuristic measure called “Degree of Optimality.” The experimental study on the simulated environment elevates the proposal performance advantage as opposed to other existing methods.
Moon Rocks Analysis

Research School of Earth Sciences, Physical Sciences - Moon Rocks Analysis - Dr. B. W. Chappell, Mr. M. I. Vernon, Dr. W. Compston, Mrs. A. Brown, Prof. A. E. Ringwood, Dr. J. E. Lovering, Dr. S. R. Taylor, Dr. W. Compston, Mr. J. Pennington
Εκπαιδευτικά προγράμματα για άτομα με νοητική αναπηρία

Museum is an institution that existed since ancient times. Its existence in society has subjected it to the social changes that society itself is undergoing. Gradually and through many changes, the Museum was transformed into a space where diversity is welcome but also desirable, where all views and ideas have a place and are worthwhile and especially in an area of equality. On the other hand, the term mental disability is a complex term, the analysis of which is directly related to intelligence. Without a specific definition, mental disability is the reduced ability of individuals to respond in the context of their daily and social life. The purpose of this dissertation is to bring together people with intellectual disabilities in the museum space. This approach is realized through the design, implementation and evaluation of an educational program, which was designed based on the needs and interests of people with intellectual disabilities and was piloted. The majority of the participants showed that they understood what was mentioned, while a large proportion remembered this information at a later time. The practical application of what they were taught received a positive response during the workshops conducted under the program. Finally, the teaching staff who attended and supported the program argued that the specific process was beneficial for the participants, that they gained knowledge about the subject while developing their creativity.
KEVALIDAN MEDIA PEMBELAJARAN BERBASIS LOGO BOARD GAMES MATERI SISTEM REPRODUKSI KELAS XI MIA

This is a research and development under some purposes, those are 1) To develop Logo Games Based for learning process on reproduction system material, 2) To know the validity of the Logo Board Games in learning process of reproduction system material. Logo Board Games is a media which is used to create an enjoyable learning situation and to support the achievement of learning objectives including the aspect of cognition, affection, and psychomotor. It is a research and development to produce a learning media “Logo Board Games” as the product which is expected to be used in encouraging the learning process. This research refers to 4-D learning model including four steps: defining, designing, developing, and disseminating. The research instruments utilized in this research was validation sheet to obtain the validity of the product, and questionnaire to know the response of the teachers and the students related to the effectiveness of the product. Based on the evaluation of the validator, it could be concluded that the validity of the Logo Board Games on reproduction system material could be categorized into high validity with the average grade 3,6 (3,5 ≤ V ≤ 4).
How crowding challenges (feedforward) convolutional neural networks

Are (feedforward) convolutional neural networks (CNNs) good models for the human visual system? Here, we used visual crowding as a well-controlled psychophysical test to probe CNNs. Visual crowding is a ubiquitous breakdown of object recognition in the human visual system, whereby targets become jumbled and unrecognisable in the presence of flanking objects. Humans exhibit several well-documented effects of crowding, such as invariance to size, where the size of the target and flanker letters may be changed without impacting the strength of crowding. We show that feedforward CNNs are unable to reproduce invariance to size, confusion between target and flanker identities, and importantly uncrowding, where paradoxically increasing the number of flankers improves performance. We investigate this phenomenon using a recurrent, neurally inspired model called LAMINART, which we find can reproduce uncrowding as observed in humans. Furthermore, we show that capsule networks, a recurrent family of CNNs with grouping and segmentation mechanisms, outperform any other models of uncrowding to date, demonstrating the importance of grouping and segmentation in mechanisms in visual information processing in general.
From Controlled Vocabularies to Ontologies: A Techno-Human Approach

The biggest challenge search platforms face is how to lead the users towards the answers they are looking for with very few clicks. The quest for the most straightforward route to the most relevant result becomes particularly daunting when users start their journey with a broad query (1-2 word), providing no context around their intentions. This leads to voluminous and unfocused search results and leaves the user with the burden of identifying the most relevant ones. Allowing users to refine large result sets by selecting query-relevant concepts from a controlled vocabulary is a good option; however, creating a content-tailored vocabulary is a challenge in itself, especially when the vocabulary has to cover diverse domains. In this talk, I will showcase Knovel’s techno-human approach toward generating a content-centric, multi-domain vocabulary to use as refinement tool, and the subsequent strategy to extract from the corpus ontological relationships between the concepts in the vocabulary.
Supervised Learning Algorithms and Evaluation Metrics in Machine Learning

In the era of emerging technologies, advancements in machine learning techniques have created a great impact in our lives. These advancements made us to develop new way of approaches to solve problems in different areas such as cancer diagnosis, predictive forecasting, speech recognition etc. Various machine learning techniques like Supervised learning, Unsupervised learning, Reinforcement learning have been extensively used to transform a computer into an intelligent machine to solve complex and challenging problems in real world. The advancements in our technologies in terms of computational power and acquiring large data made machine learning models to grow complex day-by-day. So building a good model is not sufficient since evaluating a model is equally important. So a good metric is needed to estimate the prediction error. Although plethora of metrics are available in the community of machine learning, confusion arises very often in choosing the right metric. However there is no common theory in choosing a metric to evaluate a model. This paper describes popular supervised learning algorithms along with the mathematics behind them. We analyze and evaluate the important evaluation metrics in classification and regression algorithms. After assessing the discussed evaluation metrics, a conclusion is made on choosing the right evaluation metric for the given problem.
An Efficient VLC for Lossless Data Compression: Leveling

Many standard compression methods are based, at their most basic level, on coding digital words of variable length, or VLC, Huffman type, designed in 1952, or any of its variants, as canonical.&nbsp; This article describes a VLC called "Leveling" that is more efficient than Huffman encoding and employs two variants: "Leveled Reordering" for low redundancy, such as text, and "Segmented Leveling" for moderate and high redundancy, such as image processing. Leveling, invented by Javier Joglar in 1995, employs the notions of "meaning" and "ordering" of the VLC codes generated to achieve the highest "compression ratio" of any non-adaptive VLC.
Similarity Search towards Encrypted Images for Content - Based Image Retrieval in Cloud Computing

Content-based image recovery (CBIR) applications have been quickly evolved alongside the increment in the amount, accessibility and significance of pictures in our day by day life. In any case, the wide sending of CBIR plot has been restricted by its the serious calculation and capacity prerequisite. With the rise of wise terminals, the Content-Based Image Retrieval (CBIR) strategy has pulled in much consideration from numerous zones (i.e., distributed computing, long range informal communication administrations, and so on) Albeit existing protection safeguarding CBIR plans can ensure picture security while supporting picture recovery, these plans actually have intrinsic deformities (i.e., low pursuit exactness, low hunt productivity, key spillage, and so forth) To address these difficult issues, in this paper we give a comparability Search to Encrypted Images in secure distributed computing model are utilized to improve search exactness which can improve search proficiency. At last, it is reached out to additionally forestall picture clients' pursuit data from being presented to the cloud worker. Our proper security examination demonstrates that can ensure picture protection just as key security. The security investigation and trials show the security and proficiency of the proposed conspire.
Linear optical quantum information processing in silicon nanophotonics

It would be difficult to overestimate the level of attention being paid worldwide to quantum information processing, and anticipated advantages it may offer to a wide variety of pursuits in engineering, technology, and basic science. Futurists muse on the wondrous possibilities and theorists formulate actual algorithms for advanced computing not possible with classical computing machines, if only there were scalable quantum computers. Further, several groups have performed compelling experiments related to quantum teleportation and quantum key distribution – both essential pieces for quantum cryptography. Still, it is a very challenging hardware problem to design architectures that support, appropriately protect, route, and process qubits to function as universal logic gates. To date, most of the optical successes toward this goal have been in bulk media, which is not easily scalable to carry out the required degree quantum error correction. In this talk, I will discuss a couple of the proposals that my collaborators at the Air Force Research Laboratory, at the Rochester Institute of Technology, and I have made toward addressing the issue, among others, of scalability. Further, thanks to the inception of the AIM Photonics Initiative, I will talk briefly about experimental tests that we have started and others that we have planned for assessing in situ the effectiveness of the devices that we have analyzed theoretically.
Cryptocurrencies and Finance Theories

Cryptocurrency (CCY) as a new key player in the currency system that has drawn the attention of scholars to examine its influence, relations and the opportunities that it may provide. However, a financial theoretical framework to connect CCY with financial theory is missing. This paper fills this gap by providing a review for the theoretical framework introduced in the literature to position CCY in investment and finance theories. This is done by studying the CCY literature and providing a critical feedback on the overall contributions in the area and possible venues for improvement. We report a need for a long-term analysis for CCY as this asset class is fairly new and sufficient data may not be available. Moreover, a better connection and linking with finance theories is required as it is significantly deficient. The promising potential of blockchain/ CCY stresses the need for interdisciplinary research including business, legal and information technology disciplines. In addition, the Covid-19 pandemic opens the door for further research to investigate the role of CCY as a hedge in the times of crises. Keywords: digital ledger technology, cryptocurrency bitcoin, finance theory, investment, fintech
LITERATURE ABILITY TO READ STUDENTS THROUGH THE MEDIA OF PICTURED CATCHERS IN ELEMENTARY SCHOOL

The problem statement of this research is whether or not the application of pictorial caterpillar as a learning medium can improve the class of I students’ reading literation ability at SDN 9 Kabila of Bone Bolango District. It aims at improving students’ reading literation ability through Pictorial Caterpillar Medium at class of I, SDN 9 Kabila of Bone Bolango District. The reseacrh method is classsroom action research. Finding reveal that in the pre-observastion, only 3 out of 15 students (20%) are categorized able. However, in cycle I, it improves to be 5 students (33%) who are able, while there are still 10 students (67%) still categorized not able. Then, it improves more in cyle II in which there are 13 students (87%) categorized able although 2 students (13) are still not able. Hence, it can be concluded that the application of picrorial caterpillar medium can improve the students’ reading literation ability at class of I, SDN 9 Kabila of Bone Bolango District.
Improving the Communication for Children with Speech Disorders Using the Smart Toys

An attempt is made to develop a smart toy to help the children suffering with communication disorders. The children suffering with such disorders need additional attention and guidance to understand different types of social events and life activities. Various issues and features of the children with speech disorders are identified in this study and based on the inputs from the study, a working architecture is proposed with suitable policies. A prediction module with a checker component is designed in this work to produce alerts in at the time of abnormal behaviour of the child with communication disorder. The model is designed very sensitively to the behaviour of the child for a particular voice tone, based on which the smart toy will change to tones automatically. Such an arrangement proved to be helpful for the children to improve the communication with other due to the inclusion of continuous training for the smart toy from the prediction module.
BLENDED LEARNING – APPROACH, ADVANTAGES AND OPPORTUNITIES

The article looks at how blended learning approach has appeared after the introduction of distance learning. Blended learning is seen to be a compromise between traditional classroom learning environment and distance learning model. Models and components of blended learning are presented, as well as advantages and opportunities for students and academics in higher education.