Reviewerly/exHarmony huggingface dataset:
THE COMPREHENSION OF INTERNATIONAL PHONETIC ALPHABET ROLE TOWARDS ENGLISH LEARNERS' PRONUNCIATION IN ACHIEVING SUCCESSFUL ORAL COMMUNICATION

AbstractThe article aims to find out the comprehension of the International Phonetic Alphabet role after the students had learned the phonology and phonetics materials in “Introduction to Linguistics” course. Qualitative approach was conducted to answer the problem of this study. To collect the data, the researcher used closed questionnaires to the 2nd semester students of English Study Program of Hasanuddin Islamic High School, Pare-Kediri in the academic year 2019/2020. The results of this study indicates that respondents have the same comprehension after being assisted by phonology and phonetics materials in improving their pronunciation errors. They were able to read phonetics transcription through phonetics dictionary application called with toPhonetics and increase confidence when pronouncing the words. They increasingly realized the importance of International Phonetic Alphabet in English pronunciation, so that they had the ability to read phonetics dictionary easily. It was proved from 22 respondents answering eight points related to the instrument that the average percentage in the strong agreement was 50%, mild agreement was 44%, less agreement was 7,5%, and disagreement was 0%. So, it can be concluded that the students have the same comprehension of International Phonetic Alphabet role to reduce errors in pronouncing the words to achieve successful oral communication.Keywords: International Phonetic Alphabet, English Pronunciation, Oral
Possibilities of using multimedia in music lessons

Multimedia means are used in the highly developed life of modern technology, television, television screening, video equipment in the sense of multimedia melody, mediation. It is a set of hardware and software that allows you to communicate with a computer, as well as to acquire certain information in the field of education through hearing, seeing (animation, animation, drawing, etc.).
Reestruturação de uma comissão de cuidados com a pele em uma instituição oncológica na perspectiva do pensamento Lean

In order to offer quality health care at the lowest possible cost, using and valuing the material resources and human potential existing in the institutions, it is believed that it is necessary to use a theoretical and methodological model that can support and subsidize the management implementation process. of health care with the skin. In this way, the general objective of the research was: to restructure the skin carecommission in an oncology institution from the perspective of the theoretical and methodological framework of lean. Methodology: This is a descriptive research, with a participative qualitative approach that documented and systematically described the methodological path for the restructuring of a skin care commission, at the National Cancer Institute I, in the State of Rio de Janeiro, from an operational perspective, the study was developed in four stages: composition of the team and training of the collaborators who made up the team; mapping of the processes developed by the skin care committee and identification of problems related to the skin care committee, anchored in the lean methodology, from January 2019 to March 2020. The study participants were nurses from the skin care committee skin care at INCA. The research project was approved by CEP CAAE under number 08783919.9.0000.5243 and the participants signed an informed consent form. Results: The tools used to apply the lean methodology in the restructuring of the skin care commission are presented, which were: gemba, process mapping, 5S, visual management and work standardization; the composition of the team and subsequent training of its members on this methodology; elaboration of the macroprocess of the patient's flow into the institution for all sectors; identification and prioritization of problems related to the skin care processes of the cancer patient and the mapping of the current and future status, individually, of each patient's entrance door in theinstitution. Discussion: This study provided the elaboration of the macro process that allowed to highlight and prioritize the problems related to the skin care processes of cancer patients, enabling the application of lean tools in the restructuring of the skin care committee. Final considerations: With the application of the lean methodology, it was possible to plan the restructuring of the skin care commission based on the composition of the new team and management strategies to identify the problems, carry out relevant actions with the appropriate tools and selected with the nurses of the commission. . It was also possible to improve communication between the health team and patients, in addition to encouraging and motivating the effective participation of the team in the elaboration and management of care
Learning How to Solve “Bubble Ball”

is a game built on a 2D physics engine, where a finite set of objects can modify the motion of a bubble-like ball. The objective is to choose the set and the initial configuration of the objects, in order to get the ball to reach a target flag. The presence of obstacles, friction, contact forces and combinatorial object choices make the game hard to solve. In this paper, we propose a hierarchical predictive framework which solves Bubble Ball. Geometric, kinematic and dynamic models are used at different levels of the hierarchy. At each level of the game, data collected during failed iterations are used to update models at all hierarchical level and converge to a feasible solution to the game. The proposed approach successfully solves a large set of Bubble Ball levels within reasonable number of trials. This proposed framework can also be used to solve other physics-based games, especially with limited training data from human demonstrations.
DESIGN AND DEVELOPMENT OF A BLOCKCHAIN NETWORK FOR TRUSTED IOT

Blockchain is one of the emerging technologies which builds trust and transparency to an industry where transactional progressions plays a major role. In this digital transformation era of business, Internet of Things (IoT) is an additional trending technology that denotes to the billions of physical devices around the world that are associated to the internet, assembling and distribution of data. In this paper we project our work by using Hyperledger Fabric, an open source blockchain framework, and the Watson™ IoT platform through Node-RED to handling the assortment of data on a distributed network unchangeably. The aim of this investigation goal is to design a proof of concept for equally blockchain and IoT. rather developing an application with complete abilities, our resolution will be much more reasonable and informative. This paper can be stretched and improved according to new-fangled business representations by adding new organizations to the distributed network and emerging innovative smart agreements depending on the logic. In this paper, we intend to build a Hyperledger Fabric network, design APIs with the Hyperledger Fabric SDKs to interact with the network, collect information or data from the sensor (such as temperature), demonstration of data on the dashboard with Node-RED, and a UI where we can see the sensor data history.
A Survey On Securing Internet Of Medical Things Using Blockchain

: In this project, we provide a solution to protect and secure the patient records and data against various attacks using the technology of blockchain. We use the fully decentralized blockchain. Also, digital signatures are used for model updates. Therefore, we hold that adversaries are not able to fabricate digital signatures or take control of the majority of the network. Furthermore, an adversary cannot poison the data because it is stored off-chain rather on the public ledger. There are only pointers information encrypted with a hash function inside a public ledger.In problems of large-grid-level centralized transactions and dispatch centers with information asymmetry and high processing costs, the proposal of a completely decentralized transaction architecture and a weak centralized scheduling strategy based on block-chain is done. Firstly, the defined concepts of transaction decentralization and scheduling decentralization are given, and the reliability of distributed transaction communication is studied. Based on the communication credit consensus mechanism, built a blockchain transaction risk control model. Secondly, security checks are performed under the weakly centralized scheduling architecture based on the autonomous chain of substations, and temporary central nodes are set up to perform scheduling tasks. Finally, an optimal solution is obtained by dynamically updating the credibility by using an improved evolutionary algorithm to solve the above model.
A Systematic Investigation of KB-Text Embedding Alignment at Scale

Knowledge bases (KBs) and text often contain complementary knowledge: KBs store structured knowledge that can support longrange reasoning, while text stores more comprehensive and timely knowledge in an unstructured way.Separately embedding the individual knowledge sources into vector spaces has demonstrated tremendous successes in encoding the respective knowledge, but how to jointly embed and reason with both knowledge sources to fully leverage the complementary information is still largely an open problem.We conduct a large-scale, systematic investigation of aligning KB and text embeddings for joint reasoning.We set up a novel evaluation framework with two evaluation tasks, few-shot link prediction and analogical reasoning, and evaluate an array of KB-text embedding alignment methods.We also demonstrate how such alignment can infuse textual information into KB embeddings for more accurate link prediction on emerging entities and events, using COVID-19 as a case study. 1
Indonesian International Scientific Publication Trend, 2015-2019

This article discusses trends in Indonesia's international scientific publications in the 2015-2019 period. Indonesian international scientific publications are sourced from the Scopus data base and the data were analyzed using a bibliometric approach with visualization of VOSviewer version 1.6.15. The results show that Indonesia's international publications during the 2015-2019 period experienced a significant increase, namely 8,373 publications in 2015 to 46,028 publications in 2019, or an increase of 5.5 times from the publication in 2015. Munir, A was recorded as the most productive writer with produced 239 publications during those five years, followed by Sarno, R (221 publications), Purnomo, MH (207 publications), Hidayanto, A.N. (182 publications), and Rahim, R. (167 publications). Universitas Indonesia as the institution with the most publications with 11,661 articles, followed by the Bandung Institute of Technology (8,961 publications), Gadjah Mada University (7,369 publications), Sepuluh Nopember Institute of Technology (5,096 publications), and Diponegoro University (4,997 publications). Other results show that most (50.9%) publications produced by authors from Indonesia are published in Scopus indexed international proceedings (such as the IOP Conference Series, AIP Conference Proceedings, MATEC Web of Conferences, E3S Web of Conferences, and ACM International Conference Proceedings. Series), and articles in international journals (46.7%). The most collaborators came from Malaysia (5,780 articles), Japan (5,373 articles), Australia (3,253 articles), the United States (2,849 articles), and England (2,194). Engineering is the most predominantly published research field, this is confirmed by the top 3 sources of publications, namely the Journal of Physics Conference Series (10.61%), IOP Conference Series Earth and Environmental Science (8.28%), and IOP Conference Series Materials Science and Engineering (6.33%). The conclusion of this study shows that there is a significant increase in Indonesian international publications indexed by Scopus of 549.71% during the 2015-2019 period. This significant increase stems from the publication of articles by Indonesian authors in international proceedings.
Emotion to forecast a recession: A bilingual lexical and sentiment analysis of the un and imf world economy reports for 2019

espanolEste trabajo lleva a cabo un analisis discursivo de dos informes institucionales de 2019 sobre la economia mundial y sus traducciones al espanol, y se propone determinar el papel que desempena la emocion en la forma en que cada texto esta verbalizado lexicamente. Se ha realizado previamente un analisis del lexico que ha permitido obtener una lista de 60 palabras clave utilizadas para crear una taxonomia lexica capaz de permitir la comparacion de la proporcion de tecnicismos libres de emocion y la de elementos cargados de emocion que conceptualizan la situacion economica con una polaridad positiva o negativa en cada texto. Posteriormente, se ha realizado un procesamiento automatico con Lingmotif (moreno-Ortiz, 2017), un software de analisis de sentimiento que establece la polaridad positiva y/o negativa y el grado de intensidad emocional de los textos. Dicho analisis revela la existencia de diferencias retoricolinguisticas en la forma en que se emplea la emocion en cada uno de los informes que estan relacionadas con los objetivos comunicativos de cada institucion y que quedan reflejadas en sus traducciones al espanol EnglishThe present work carries out a discursive analysis of two 2019 institutional reports on the world’s economy and their Spanish translations, and endeavours to determine the role that emotion plays in the way each text is lexically verbalized. A prior lexical analysis is carried out to obtain a 60-keyword list used to create a lexical taxonomy which may allow comparison of the proportion of –emotion-free– technolects and that of emotion-laden items conceptualizing the economic situation with a positive or negative polarity in either text. Subsequently, automatic processing is conducted with Lingmotif (moreno-Ortiz, 2017), a Sentiment Analysis software to establish the positive and/or negative polarity and the degree of emotional intensity in the texts. The analysis reveals how there exist rhetorical-linguistic differences in the way emotion is deployed between the reports in line with the goals of each institution, and that these differences are mirrored in their Spanish translations
XML Signature Wrapping Still Considered Harmful: A Case Study on the Personal Health Record in Germany

XML Signature Wrapping (XSW) has been a relevant threat to web services for 15 years until today. Using the Personal Health Record (PHR), which is currently under development in Germany, we investigate a current SOAP-based web services system as a case study. In doing so, we highlight several deficiencies in defending against XSW. Using this real-world contemporary example as motivation, we introduce a guideline for more secure XML signature processing that provides practitioners with easier access to the effective countermeasures identified in the current state of research.
Abtadi English Program to Improve the Production of Descriptive Texts in Peruvian Students

The purpose of the research was to determine to what extent the Abtadi strategy and collaborative learning improve the production of descriptive texts in English. It is a study with a quantitative approach, applied type and a quasi-experimental design, it had 82 students as a population, the evaluation instrument was a rubric, for hypothesis testing the Krukal Wallis statistic was used. Likewise, from the results of the hypothesis tests, it was obtained that the average range of the 3 groups are different and whose significance is .000, with p&lt;0.05, it is interpreted that the researcher's hypothesis must be accepted. And consequently, it is inferred that the Abtadi strategy improves the production of descriptive texts in English and in their respective dimensions through G-suite for education, in this context of a global pandemic and remote teaching.
Combined Weighted Feature Extraction and Dimension Reduction (CWFE-DR) Technique for CBIR

Content-Based Image Retrieval (CBIR) obtains information from images by utilizing the features lines, textures, colors and spatial data. The performance of the CBIR system can be speed up by reducing the size of the training images. This paper proposes a Combined Weighted Feature Extraction and Dimension Reduction (CWFE-DR) technique for CBIR. In this technique, the images which are onlysimilar to the query image are fetched. The performance is further enhanced by generating a combined feature vector based on color, shape and texture features. By applying multiclass Support Vector Machine (SVM), the appropriate weights of the individual features are determined adaptively, depending on the type of query image.
The Most Trending Cryptocurrencies & Real-Time Crypto RTGS

With the exception of Bitcoin, there appears to be many more promising cryptocurrencies on the Market. Already, Ripple is being pitched as a bank-friendly payment system and algorithm being the most likely to be adopted as a central-bank issued cryptocurrency. The paper focuses on five most promising cryptocurrencies. The paper concludes by looking at the regulatory challenges of cryptocurrencies and the balance between technology evolution and the regulation of these financial solutions.
Voices from the last mile: The place of emotions in the social impact analysis of access to communication

While cellular technology has become ubiquitous and effective in bridging the digital divide, billions of households around the world remain unconnected and unserved. Increasing income and effective participation in governance are the gold standard in establishing the positive social impact of innovations that seek to provide access to communication in last mile areas, which are usually geographically isolated rural villages. Results from the social impact analysis of the Village Base Station Project (VBTS), using culturally-sensitive oral history, reveal that end-users use emotional terms, such as ginhawa and perhuwisyo in assessing how access to cellular networks affected their everyday life and social relationships. This article contributes to the scholarly discussions on the social impact of cellular technology by understanding end-users’ emotional responses as indicators of social impact. We argue that a more human-centered framework for social impact assessment requires a careful consideration of emotional evaluative statements from silenced communities, or of voices from the last mile.
Case Study : Naqist Hair Beauty and SPA / Wan Noradzwa Wan Molid Fauzi … [et al.]

Naqist Hair Beauty and Spa is a full-service beauty salon dedicated to providing consistently high customer satisfaction by providing excellent service, quality products and a comfortable environment with a reasonable price / value relationship. The organization will also create an environment of fun and creative work that values diversity, creativity, and hard work To achieve the objectives, from our research about Naqist Hair Beauty and Spa, we had recognized some problems regarding the process on doing hair or spa. Then we are suggesting the innovation of the products by using 2-in-l Comb. The innovation of products will help the hairdresser less time and energy while doing hair beauty.
영어교과 교육과정 이수 기준 설정에 대한 연구

The purpose of this study was to investigate the perceptions of Korean teachers and supervisors in local office of education on curriculum completion standard setting for elementary and lower secondary school period. Curriculum completion standards consisted of two main elements, attendance rate and subject content completion criteria in English education, on which three research questions were focused. For this study, a questionnaire was administered to 1187 research participants including 1059 school teachers(elementary 602, secondary 457) and 128 supervisors in charge of curriculum implementation in 17 provincial office of education. An independent t-test and a One-way ANOVA were performed to explore whether there was a statistically significant difference between the teacher-supervisor groups and among four teacher groups. The results showed that, even though significant differences were found in some parts, most of all teachers and supervisors had favorable opinions towards setting both attendance rate and subject content completion criteria as curriculum completion standards in relation to English education. Noteworthy was that the result revealed that the higher the level of school year grade, the more setting of curriculum completion standards were required. The findings of this study will contribute to an understanding of the perceptions of teachers in elementary and secondary schools and supervisors in the local office of education, which can be utilized when setting standards of curriculum completion as national educational policy in Korean context.
Self-Erasing Network for Person Re-Identification

Person re-identification (ReID) plays an important role in intelligent surveillance and receives widespread attention from academics and the industry. Due to extreme changes in viewing angles, some discriminative local regions are suppressed. In addition, the data with similar backgrounds collected by a fixed viewing angle camera will also affect the model’s ability to distinguish a person. Therefore, we need to discover more fine-grained information to form the overall characteristics of each identity. The proposed self-erasing network structure composed of three branches benefits the extraction of global information, the suppression of background noise and the mining of local information. The two self-erasing strategies that we proposed encourage the network to focus on foreground information and strengthen the model’s ability to encode weak features so as to form more effective and richer visual cues of a person. Extensive experiments show that the proposed method is competitive with the advanced methods and achieves state-of-the-art performance on DukeMTMC-ReID and CUHK-03(D) datasets. Furthermore, it can be seen from the activation map that the proposed method is beneficial to spread the attention to the whole body. Both metrics and the activation map validate the effectiveness of our proposed method.
The Icelandic Dyslexia Error Corpus (IceDEC) Version 1.0

Islenska lesblinduvillumalheildin er safn texta a nutimaislensku sem hafa verið skrifaðir af einstaklingum sem greindir hafa verið með dyslexiu. Villur hafa verið merktar, t.d. hvað varðar stafsetningu, malfraeði og fleira. Hver villa i textanum er flokkuð með hjalp villukoða, en 253 villukoðar eru notaðir i malheildinni. Malheildin samanstendur af 15 textum með 2.227 flokkuðum villutilvikum. The Icelandic Dyslexia Error Corpus (IceDEC) is a collection of texts in modern Icelandic, written by people who have been diagnosed with dyslexia. They have been annotated for mistakes related to spelling, grammar, and other issues. Each mistake is marked according to error type using an error code, of which there are 253. The corpus consists of 15 files with 2,227 categorized error instances.