Reviewerly/exHarmony huggingface dataset:
IMPROVING ENGLISH VOCABULARY MASTERY THROUGH TALKING STICK STRATEGY AT THE TENTH GRADE STUDENTS OF SMA NEGERI 1 KASIMBAR

Students usually feel bored in vocabulary lesson because they have less vocabulary and the teacher used same strategy in every meeting. In learning vocabulary, it is important used attractive strategy in order to the students interest to learn vocabulary. This research focuses on the using of talking stick strategy to the tenth grade students’ vocabulary mastery at SMA Negeri 1 Kasimbar. The researcher applied quasi experimental research design and need pre-test and post-test to both experimental and control class. The pre-test was to know the level of students’ vocabulary mastery ability before giving treatment while the post-test was used to know the result after giving treatment. There was a significant difference score of the post-test of the experimental class (696,64) and the control class (516,66). The level of significance was set up 0,05 with 18 degree of freedom ( (df) = Nx + Ny – 2 = 10 + 10 – 2). The result of data analysis indicates that tcounted (2,573) which was higher than ttable (2,153),it means that the hypothesis of the research was accepted. Thus, there was significant score improvement of using talking stick strategy to the tenth grade students at SMA Negeri 1 Kasimbar.
Photoneutron activation analysis and multivariate geostatistical approach to assess the spatial occurrence of trace heavy metals in Crisuri Basin

The Crisuri Basin, with its total length of 1093 km (among which 670 km in Romania), is subjected to an effective environmental monitoring system consisting of 18 water stations network. Their integrated information is used for the water assessment problem to understand the biogeochemical processes leading to significant pollution levels in some running water sectors. The goal of this research is to predict the most important factors causing the change of the geochemical measured parameters of some components of the Crisuri water resources. In the present paper, we developed a multivariate statistical model to estimate the spatiotemporal distribution of heavy metals in the field and to identify the contamination sources of Basin River waters. Two methods were deployed as an overall approach to fulfill the proposed objectives, namely the photoneutron activation analysis followed by high-resolution gamma-ray spectrometry and the multivariate statistical analysis. The elements analyzed by different analytical techniques and introduced in databases were As, Cd, Ca, Cu, Fe, Mg, Hg, Na, Ni, Pb, Zn, N-NH4, N-NO2, N-NO3, P-PO4, fixed residues, S-SO4, Cl, phenols and, additional oil compounds. By combining the spatially distributed geochemical data on trace heavy metals with the spatially distributed geophysical data, we obtained the most significant fingerprint factors and their associated uncertainty information concerning the water quality.
Element of Politeness in Intercultural Communication: The Case Study of Japanese and Malaysian Tourists

The number of Japanese tourists visiting Malaysia has consistently ranked in the top ten over the last 20 years. Japan has been the country of choice for Malaysian tourists over the previous ten years. It is, therefore, crucial that tourism communication in the cross-cultural context between Malaysia and Japan is used as a reference to improve the cross-cultural communication skills of the tourism employees involved. This article discusses the external structure of Japanese conversation between native Japanese speakers and Malaysian tourist guides and native Malay speakers with Japanese tourist guides. This study is qualitative and uses the discourse analysis approach. A total of four conversation sessions in the form of Free Independent Travel (FIT) tourism were held in Malacca and Tokyo. The conversations were recorded, and the researchers also made notes throughout the conversation to see the sentence structures and non-linguistic elements to complete the data. The recording was then transcribed and encoded before being analysed. Only the conversations by tourist guides were analysed and included in the contents of this article as the focus of the study is more on the external form and politeness of the Japanese language used by Malaysian and Japanese tourist guides in demonstrating solidarity and similarities in the context of cross-cultural conversation. Data analysis shows many similarities in the selection of vocabulary and specific verb forms by Japanese and Malaysian tourist guides to show courtesy and friendliness in the conversation. This proves that Japanese language skills by Malaysian tourist guides are almost on par with Japanese tourist guides. Malaysian tourist guides also have a vast knowledge of the culture and nature of the Japanese language.
The Relationship Between Communication in the Family and Early Childhood Language Development

This research is motivated by the low language development of children aged 3-4 years in Air Tawar Barat Village, Padang City. This is suspected to be poor communication in the family with children. This study aims to determine the relationship of communication in the family with the language development of early childhood in Air Tawar Barat Village, Padang City. This research uses a correlational quantitative approach. The study population was 54 mothers with a sample of 27 mothers. Sampling in the study used a simple random sampling technique, namely random sampling from a portion of the population. Research findings (1) communication in the family is categorized as low (2) language development of early childhood is categorized as low (3) there is a significant relationship between communication in the family and language development of early childhood in Air Tawar Barat Village, Padang City. There is a significant relationship between communication in the family and the language development of early childhood in the Village of Air Tawar Barat, Padang City.
The Implementation of Grammatical Error Analysis to Improve Students’ Writing Skill on Recount Text for Students Class X MIA At SMA Tri Dharma Kosgoro Dompu

This study is a classroom action research that focuses on the implementation of grammatical error analysis to improve students’ writing skill on recount text for students. The study conducted at SMA Tri Dharma Kosgoro Class X MIA that consisted of 25 students; 15 male and 10 female. Apart from implementing the grammar error analysis to enhance students’ writing skill, the researcher also identify some errors of students’ writing particularly on grammatical error and analyze some factors of these errors. The implementation of this research was in cycle I that consist of eight meetings. Study shows that the implementation of grammatical error analysis can enhance the students’ understanding in writing recount text. This has been shown by the improvement of student’s score. Moreover, the kinds of the students’ grammatical errors could be classified into seven categories namely errors in verb groups, errors in subject and verb agreement, errors in article, errors in pluralization, errors in conjunction, errors in preposition, and errors in pronoun. The identification of these type of grammatical error is paramount due to these could help students understand some components of grammar that students should master to improve their understanding in writing recount text.
SCIENTIFIC NAMED ENTITY RECOGNITION WITH THE HELP OF MODERN METHODS

This research focuses on a comparative study of the Named Entity Recognition task for scientific article texts. Natural language processing could be considered as one of the cornerstones in the machine learning area which devotes its attention to the problems connected with the understanding of different natural languages and linguistic analysis. It was already shown that current deep learning techniques have a good performance and accuracy in such areas as image recognition, pattern recognition, computer vision, that could mean that such technology probably would be successful in the neuro-linguistic programming area too and lead to a dramatic increase on the research interest on this topic. For a very long time, quite trivial algorithms have been used in this area, such as support vector machines or various types of regression, basic encoding on text data was also used, which did not provide high results. The following dataset was used to process the experiment models: Dataset Scientific Entity Relation Core. The algorithms used were Long short-term memory, Random Forest Classifier with Conditional Random Fields, and Named-entity recognition with Bidirectional Encoder Representations from Transformers. In the findings, the metrics scores of all models were compared to each other to make a comparison. This research is devoted to the processing of scientific articles, concerning the machine learning area, because the subject is not investigated on enough properly level.The consideration of this task can help machines to understand natural languages better, so that they can solve other neuro-linguistic programming tasks better, enhancing scores in common sense.
PSYCHOLOGICAL READINESS OF FIRST GRADERS TO LEARN SEMANTIC READING AT SCHOOL

The article examines the readiness of first graders to learn semantic reading. A semantic reading is an activity, it is based on reading technique. We identified two groups of students: average readd highly ready ang to learn semantic reading. The article presents the main areas of assistance in the formation of psychological readiness for learn semantic reading.
Deep Learning Based Indian Sign Language Words Identification System

In Indian Population there is about 1 percent of the people are deaf and dumb. Deaf and dumb people use gestures to interact with each other. Ordinary humans fail to grasp the significance of gestures, which makes interaction between deaf and mute people hard. In attempt for ordinary citizens to understand the signs, an automated sign language identification system is proposed. A smart wearable hand device is designed by attaching different sensors to the gloves to perform the gestures. Each gesture has unique sensor values and those values are collected as an excel data. The characteristics of movements are extracted and categorized with the aid of a convolutional neural network (CNN). The data from the test set is identified by the CNN according to the classification. The objective of this system is to bridge the interaction gap between people who are deaf or hard of hearing and the rest of society.
Quantum Technologies Impact on Electromagnetic Spectrum Monitoring

Abstract Electromagnetic spectrum (EMS) superiority represents a prerequisite for resilient defence strategies, capable of effective and adequate response to our global security environment. Besides, quantum communications are being considered one of the most promising technologies with applications in security related domains. To this extent, the development of quantum communication infrastructures will significantly impact the architecture of the modern electromagnetic operational environment. Quantum technologies pave the way towards revolutionary technologies by exploiting physical phenomena from different angles and enabling extremely sensitive measurements of multiple parameters including electromagnetic fields. This paper aims to present a short description of quantum technologies with applications for electromagnetic spectrum monitoring and discusses their impact on future electromagnetic warfare operations.
Software quality improvement and validation using reengineering

In software development life cycle, software maintenance is among the critical phases. It is a post-implementation activity that requires rigorous human efforts. For any software developer, maintaining software for a longer period is the primary objective. This objective can be accomplished if good quality software is developed. Maintainability is one of the vital characteristics of software maintenance. Maintainability enables developers to keep the system alive for a longer period of time at a limited cost. Software Maintainability can be enhanced using reengineering. The proposed research validates improvement in the quality of the reengineered software system. The quality of the software is analyzed using a coupling, cohesion, inheritance, and other essential design metrics. The observed improvement in the software design is 62.1%. The execution time of the software is also reduced by 6.5%. Reduction in the cost of maintenance is also another important outcome of this research. The observed reduction in the maintenance cost is 36.8%. Thus, the main objective of the proposed research is to analyze and validate the quality improvement in the reengineered software. Agile Scrum methodology has been used to perform software reengineering. Design Metrics are measured using the Chidamber and Kemerer Java metric (CKJM) version-9.0 tool. For reengineering implementation, Net Beans 7.3 has been used.
Category Trees - Classifiers that Branch on Category

This paper presents a batch classifier that has been improved from the earlier version and fixed a mistake in the earlier paper. Two important changes have been made. Each category is represented by a classifier, where each classifier classifies its own subset of data rows, using batch input values to represent the centroid. The first change is to use the category centroid as the desired category output. When the classifier represents more than one category, it creates a new layer and splits, to represent each category separately in the new layer. The second change therefore, is to allow the classifier to branch to new levels when there is a split in the data, or when some data rows are incorrectly classified. Each layer can therefore branch like a tree - not for distinguishing features, but for distinguishing categories. The paper then suggests further innovations, by adding fixed value ranges through bands, for each column or feature of the input dataset. When considering features, it is shown that some of the data can be classified directly through fixed value ranges, while the rest can be classified using the classifier technique. Tests show that the method can successfully classify a diverse set of benchmark datasets to better than the state-of-the-art. The paper also discusses a biological analogy with neurons and neuron links.
Sign Language Recognition for Sentence Level Continuous Signings

It is no doubt that communication plays a vital role in human life. There is, however, a significant population of hearing-impaired people who use non-verbal techniques for communication, which a majority of the people cannot understand. The predominant of these techniques is based on sign language, the main communication protocol among hearing impaired people. In this research, we propose a method to bridge the communication gap between hearing impaired people and others, which translates signed gestures into text. Most existing solutions, based on technologies such as Kinect, Leap Motion, Computer vision, EMG and IMU try to recognize and translate individual signs of hearing impaired people. The few approaches to sentence-level sign language recognition suffer from not being user-friendly or even practical owing to the devices they use. The proposed system is designed to provide full freedom to the user to sign an uninterrupted full sentence at a time. For this purpose, we employ two Myo armbands for gesture-capturing. Using signal processing and supervised learning based on a vocabulary of 49 words and 346 sentences for training with a single signer, we were able to achieve 75-80% word-level accuracy and 45-50% sentence level accuracy using gestural (EMG) and spatial (IMU) features for our signer-dependent experiment.
Gender Representation on Pictures, Dialogues and Reading Texts in â€œBahasa Inggris Untuk Kelas X SMA/Maâ€.

This study focuses on gender representation of the picture, dialogue, and reading texts in a textbook â€“ Bahasa Inggria Untuk Kelas X SMA/MA. For Grade X Senior High School. It used a descriptive qualitative approach, and its objective was both to investigate gender representation in the pictures, dialogue, and reading text and, the representation between them. The study revealed that male domination was found in the picture, dialogues and, reading text as seen from gender visibility, gender-specific nouns, gender-stereotypes. Only, in the dialogues gender stereotype was dominated by female. The relation between picture, reading text and, dialogues, have similarity was dominated by a male, as seen from gender-neutral and gender-specific nouns. Although gender stereotypes and gender visibility in the dialogue were dominated by a female. Gender visibility, gender stereotype, gender-neutral and gender-specific noun between reading texts and pictures, have similarity was dominated by male. The representation between reading text and pictures support each other because they are mutually sustainable. Gender visibility and gender stereotype in the reading text and dialogue have unequal dominated. Gender visibility in the reading text is dominated by a male, while gender visibility in the dialogue is dominated by a female.
Use of Picture Information Measure using Color Features for Image Retrieval in CBIR

Content-Based Image Retrieval systems backups the image retrieval process using the primary characteristics of image like colour, shape, texture and spatial locations clubbed with the semantic approaches for better efficiency and performance. Various information measures have been proposed in order to increase the level of Retrieval. A method of picture information measures based upon the concept of the minimum number of gray level changes to convert a picture into one with a desired histogram is presented. In search of finding a new perspective an integrated approach of Picture Information Measure (PIM) employed with the primitive visual feature color. The retrieval results obtained by applying color histogram (CH) on PIM (PIM of Red Green and Blue and there integrated variation) + Color Moment to a 1000 image database demonstrated significant improvement in retrieval effectively.
Hakikat mücadelesi: Bir Covid-19 hastasının monoloğu

David Hare tells a Covid-19 patient's experience in his play Beat the Devil: A Covid Monologue staged in 2020. Starting from his own Covid-19 experience, Hare sheds light on an old individual’s Covid-19 process. Since he does not know how the virus influences him, he loses confidence in the health sector and the government's Covid-19 politics. The text shows the older man's lonely struggle for finding the truth in a post-truth era when the truth can be quickly warped through politics and media in an interrelated way. Covid-19 was the last hit of the global problems such as malnutrition, poverty, refugee crisis, AIDS epidemic, access to clean water in a so-called well-developed world in the last century. Despite the scientific advancements, scientists have confronted difficulties understanding the scope of the global problem that humanity faces today. For so long, there have been ongoing discussions on the concept of post-truth and its central role in state politics in terms of economy and policies on the human subject. The critical issue is whether Covid-19 is linked to the politics of ‘power’ and ‘knowledge’ on a political level or a health problem on a scientific level. Hare’s play portrays the untold misery and suffering of millions of people who had to stay home without knowing the scope of the threat outside. This study aims at interpreting the conditions mentioned above in a theoretical way.
Education as Loosely Coupled System of Technology and Pedagogy

The recent development of education seems to be driven mainly by technology; assigning version numbers is an attempt to tame this development. But education is more complex than buzzwords like “Learning 4.0” may suggest. In this article, we argue for viewing education as a loosely coupled system of two interacting layers, technology and pedagogy: closely connected, but not glued together. Using several examples, we show that sometimes technological innovations trigger pedagogical innovations and sometimes pedagogical needs initiate the development of technological solutions. We intend the model of loosely coupled layers of technology and pedagogy as a starting point for opening an overdue discussion on how to make the best use of technology for teaching and learning. We argue that complementing technology with established and proven principles of situated contextualized pedagogy is a key element for the future development of education.
CAC: Content-Aware Captioning for Professional Online Lectures in Korean Language

The use of online video conferencing has skyrocketed due to the ongoing outbreak of COVID-19. Not only professionals and college students, but even the elders and preschoolers use video meeting programs. As such, and due to a variety of reasons such as lack of context or audio-incapable circumstances, the need for high quality closed-caption has also risen. Speech-to-Text (STT) technology has been leaping forward significantly, yet involving the defect of the somewhat low recognition rate of jargons and professional terminology, which can lead to critical misunderstandings for lectures or meetings dealing with field-specific contents. To address this issue, we propose an enhancement to the recognition of technical terms by introducing Contents-aware-captioning (CAC) algorithm which applies automatically extracted data from previous materials of the webinar or terminology dataset according to the subject.
Development of Accounting Pocket Book as Accounting Learning Media

This study used the Rowntree model with several stages such as: planning stage, development stage, and evaluation stage. This research is included in the Research &amp; Development (R&amp;D) research where the method used to produce a particular product and assess the product is by collecting data using an initial test (Pre-test) and a final test (Post-test). Collecting data in this study used observation, interviews, questionnaires, and tests. The data analysis technique used descriptive data analysis by assessing the product both from the media and the use of the product and assessing the scale used to find out the results of the product using Likert. With the stages of product testing by material experts, and media experts, so that the results of the study showed that accounting pocket books showed the validity of pocket books from material experts with an average result of 94% being in very valid criteria, media experts with an average result of 95% being in very valid criteria.The results of student comments and suggestions stage one by one, that the accounting pocket book was interesting and practical, while the small group stage with an average result of 89% was in very practical criteria and field test results were on average 85% in very practical criteria.