Reviewerly/exHarmony huggingface dataset:
The Implementation of Piaget, Vygotsky, and Brunner Theoriesin Teaching English for Young Learners

There are several theories that can be used in teaching English to youngstudents so as not to burden children, namely the theories of Jean Piaget, Lev S.Vygostky, and Jerome S Brunner. Piaget put forward the theory of active learnersfor young learners. Vygotsky proposed the theory of child development whichformulated the concept of Zone of Proximal Development (ZPD), which is aboutsocial development. Brunner put forward the theory of child learning that is aboutscaffolding and routine. The purpose of the research to find out theimplementation of Piaget, Vygotsky, and Brunner Theories in English Teachingfor young learners.This study uses descriptive qualitative methods to see the implementation ofthe theories of Piaget, Vygotsky and Brunner in learning English for younglearners. To collect the data, researchers used an interview and classroomobservations 5 times for each school. The research subjects were two Englishteachers in grade 3 Madrasah Ibtidaiyah. In analyzing the data that the researchergot, the researcher used three steps of data analysis from Sugiono, namely datareduction, data display, and drawing conclusions/verification. Then, all data areanalyzed and concluded descriptively.Based on research results show that the two teachers have applied three theoriesnamely the theory of Piaget, Vygotsky and Brunner in teaching English for younglearners.
반복 읽기를 이용한 수학 학습의 과정 분석: 시선의 움직임 추적과 심박수 측정을 중심으로

This study aimed to investigate how the learners’ mathematics learning processes change with repeatedly reading mathematical text. As a way to teach and learn mathematics, we also wanted to examine the effect of repeated reading and to explore the implications for a more efficient teaching and learning strategy. To help us with this study, we mainly used eye tracking and heart rate (HR) measurement. There were four cycles in a cycle of repeated reading, and the number of repeated readings for all cycles was fixed to three times. In this study, eight prospective mathematics teachers in the Department of Mathematics Education of a National University in South Korea participated. Data were analyzed in five aspects: the total reading time per round, the total reading time per slide, the change trends of total reading time per round and slide, the order of slides read, and the change trends of HR per round. We found that most participants read in a similar pattern in the first reading, but the second and third reading patterns appeared more diverse for each learner. Also, the first reading required the most time regardless of the repeat cycle, and the time it took to repeatedly read afterward varied depending on the individual. Based on the findings of this study, the most primary conclusion is that self-directed mathematics learning by using repeated reading is effective regardless of cycle. In addition, we suggest four strategies to improve the efficiency of this teaching and learning method.
The Use of Big Book as a Literation Based Teaching Material to Improve Reading Skills in Inclusive Primary School

&lt;p&gt;Literacy is one of life skills that cannot be separated from an individual. Starting from the low literacy ability of elementary school students in Indonesia, especially the ability to read, researchers try to find alternatives that can help students in making literacy activities into fun activities. One of the causes of the low literacy in Indonesia is the difficulty in obtaining fun teaching materials, so that students have assumed that literacy is only limited to school assignments. One of the efforts that the writer did was to use literacy-based teaching materials. The purpose of this study is to find out how the application of literacy-based teaching materials especially big books and whether literacy-based teaching materials can improve students' reading skills. In addition, teachers are expected to be able to make improvements in planning and implementation of learning activities and researchers are expected to be able to collaborate with practitioners in the field, thereby increasing insight and input for teaching in LPTK. This study uses a quantitative approach. The results showed that big books can improve students' reading skills in elementary school.&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Initial Analysis of Presidential Candidate Speeches

Abstract In January 2018, the President of the Czech Republic was elected. Before that, each of the candidates communicated their intention to run for the office in a different kind of speech. By using selected characteristics, we evaluate and compare these candidate speeches. Subsequently, we reflect on the possibilities of correlating the results of the election with data collected during the analysis.
IL SIGNORE DELLE PAROLE. LA LINGUA DEL ROMANZO IL FUOCO DI GABRIELE Dâ€™ANNUNZIO

The following article deeply examines the linguistic and stylistic forms of the novel â€œIl Fuocoâ€. The analysis of such forms bears witness to the presence, in a language unusually rich and varied besides a style full of figures of speech, of polished and old-fashioned expressions, which characterize the high literary tone and the expressive grandeur of Dâ€™Annunzio â€œking of the wordsâ€.
Examination on How Sources from Modern History Are Contained in High School ‘Korean History’ Textbooks

This paper is a review of whether or not to implement contextualization by analyzing the modern historical data of ‘Korean History’ high school textbooks based on 2011 the education ministry revised curriculum.BR As a result, some items of exploration activity are seen, such as the relationship between the data and the data within the exploration activity, and the consistency between the data and the time-space background, which is weak in longitudinal causality and transverse connection. In particular, there was a considerable gap between data and exploratory questions.BR This characteristic of materials in textbooks not only constrains students’ contextual understanding, but can also significantly reduce the use of textbooks. It is not just a factor that hinders the growth of historical thought that counts in history education, but it can also disrupt the strategy of learning in contextualization. This is why the mutual infiltration of history and history education to research activities and documents surrounding them is very urgent in the course of textbook writing.
Upaya Meningkatkan Hasil Belajar Matematika Materi Menghitung Luas Bangun Datar Melalui Model Pembelajaran Numbered Heads Together (NHT) pada Siswa Kelas VI Semester I SD Negeri Karanggedong Kecamatan Ngadirejo Kabupaten Temanggung Tahun Pelajaran 2015/2016

The background of this study is the low student learning outcomes mathematics subject matter calculating the area of flat shapes, students do not have the motivation to learn, learning activities are not interactive and less interesting because the teacher in learning has not used an innovative learning model and has not used the cooperative type model Numbered Head Together (NHT). The purpose of this study was to improve mathematics learning outcomes in calculating flat area in grade VI students of semester I of SD Negeri Karanggedong through the cooperative model Numbered Heads Together (NHT). This research was conducted at Karanggedong State Elementary School with 39 students. The data source in this study used 2 data, primary and secondary data. Primary data were obtained from the results of student tests for each cycle, while secondary data were obtained from the observations of teachers and students during the study, student list, and documentation. Data collection techniques using test and non-test techniques. The data collection tools are in the form of test items and observation sheets. Data validation uses data triangulation. Data analysis in this study uses comparative descriptive. The results showed that there was an increase in mathematics learning outcomes material to calculate the area of the flat build class VI semester I of SD Negeri Karanggedong in the academic year 2015/2016. Learning outcomes during pre-cycle average class 57.31 increased to 76.89 in the first cycle and increased again in the second cycle to 84.64. The percentage of completeness of KKM 70 students which was originally 41.03% in pre-cycle increased to 74.36% in the first cycle and increased to 92.31% in the second cycle.
Office Humour: Diegetic Explorations of Negotiated Algorithmic and Human Agency

Office Humour is a speculative design piece that explores the culture that might emerge when data points like laughter function as a performance metric. The piece raises questions about agency at multiple levels. Humans can adapt their culture to algorithmic motoring. But is that ok? Do we allow humans and machines the agency to develop their culture together, or should one always be subject to the other? Who has agency in this situation? The humans who create the laughter, or the algorithm who instigates it? The piece functions on the basis of a neural network to take live measurements of laughter from its environment and places them within the narrative of a satirical productivity product. Participants are invited to interact with the product. As they do, they experience how laughter—a very natural and personal sound—can be turned into a data point and used to police and monitor their performance in an inhuman way. The piece tells a story that encourages participants to reflect on the sorts of data they gather in their work and the purposes to which any data may be put in the future.
Research Guides: RefWorks: Citation Tools

The University Libraries will support the Legacy RefWorks through June 2020. Starting July 2020, the libraries will only support the new version of RefWorks and cannot assure the continued access to or functionality of the Legacy version.
Human-competitive results awards - "Humies" 2019 - announces winners at GECCO

The Sixteenth Annual Humies Competition, which awards $10,000 in cash prizes for computational results deemed to be competitive with results produced by human beings, but are generated automatically by computer, was held as part of the GECCO-2019 program, the Genetic and Evolutionary Computation Conference, held July 13--17 in Prague, Czech Republic. The awards, sponsored by John Koza (who is widely acknowledged as the "Father of Genetic Programming") annually solicit newly published papers that describe work fulfilling one or more of eight criteria, including such features as winning a regulated competition against humans or other programs, producing results that are publishable in their own right, not because they were created by a computer program, patentability, and several others, described fully on the competition's website, www.human-competitive.org.
PENGGUNAAN MODEL CONCEPT SENTENCE DALAM PEMBELAJARAN MENULIS PARAGRAF

The objectives of these research was to developed student’s competence of writing a paragraph in using Concept sentence. These Classroom action research held at the 3rd grade of SDN 20 West Halmahera at the year of 2018-2019. The type of this research was classroom action research and consist of two cycles that includes in planning, action, observation and reflection. The technique that used in this research were, observation, interviews and evaluation. The result of this researched concluded that in using concept sentence increased students competence in writing a paragraph proved by some items consisted of (1) concept sentence correctly implemented (2) the setting or placement of the punctuation and letter were correctly (3) the students chosen of words in thir thought based on the key words (4) the interrelation of each sentence in a paragraph was correctly design.Key Words: Improving, concept sentence model, writing paragraph
Method for Revealing Placer Gold Source

Material characteristics of placer gold and geological and geomorphological features of placercontaining watercourses allow revealing the type of source that formed the placer. The studied area (the middle reach of theAdychaRiver, Verkhoyansk District, Yakutia) is characterized by highly developed placer gold mineralization both in ancient terrace sediments and high-order watercourses. The significant placer gold mineralization in the high-order watercourses, at very limited number of known bedrock gold deposits suggests the presence of not yet discovered bedrock gold mineralization. Revealing the type of sources of placer gold in young high-order watercourses allows to create prognostic and prospecting models for both potential placer and primary (vein) ore occurrences. The purpose of the study is to compile a logical-information algorithm, which, based on the most significant material and geological-geomorphological factors, will enable revealing the type of placer gold source and the possibility of its location discovery and probability of gold transportation continuation from the source. The study result is presented by a program (the Python programming language) that characterizes the type of placer gold source based on gold grain rounding degree, the presence of gold intergrowths with other minerals and the presence of heavy fraction. Assessment of the possibility of placer gold source location determination is based on geological and geomorphological factors: watercourse order, the type of placer, and spatial association with terraces of ancient erosion levels. The study of well-known gold placers using the created program allowed revealing gold placers with supposedly primary gold source and other ones with the source in the form of a natural intermediate gold concentrator. A map of exogenous gold mineralization with forecast elements was also created, presenting areas promising for revealing primary gold mineralization (areas of presence of high-order watercourses with gold mineralization source) and areas of high-order watercourses promising for discovering gold placers (identified by analogy (in geological and geomorphological position) with watercourses with the known source in the form of natural intermediate gold concentrator.
Leveraging Natural Language Processing Applications Using Machine Learning

The enormous increase of information along with the computational abilities of machines created innovative applications in natural language processing by invoking machine learning models. This chapter will project the trends of natural language processing by employing machine learning and its models in the context of text summarization. This chapter is organized to make the researcher understand technical perspectives regarding feature representation and their models to consider before applying on language-oriented tasks. Further, the present chapter revises the details of primary models of deep learning, its applications, and performance in the context of language processing. The primary focus of this chapter is to illustrate the technical research findings and gaps of text summarization based on deep learning along with state-of-the-art deep learning models for TS.
Knowledge Discovery from Layered Neural Networks Based on Non-negative Task Matrix Decomposition

Interpretability has become an important issue in the machine learning field, along with the success of layered neural networks in various practical tasks. Since a trained layered neural network consists of a complex nonlinear relationship between large number of parameters, we failed to understand how they could achieve input-output mappings with a given data set. In this paper, we propose the non-negative task matrix decomposition method, which applies non-negative matrix factorization to a trained layered neural network. This enables us to decompose the inference mechanism of a trained layered neural network into multiple principal tasks of input-output mapping, and reveal the roles of hidden units in terms of their contribution to each principal task.
Supplementary document for Robustness of entanglement as an indicator of topological phases in quantum walks - 4268462.pdf

We provide the detailed physical descriptions of the connection between the topological robustness and the resulting robustness of entanglement, and show our work can be extended to some other Floquet systems.
The principles of the formation of personnel academic strategies in Belarus [Принципы Формирования Кадровых Академических Стратегий В Беларуси]

The article presents the results of a scientific study of the current state of the motivational component of academic workers in the Republic of Belarus. The trends of academic behavior of the faculty of Belarusian universities are determined. The factors affecting the academic motivation of teachers are identified. The analysis and evaluation of academic strategies for the development of universities in the socio-economic conditions of Belarus is presented, the characteristics of the factors and principles affecting the formation of personnel strategies are given.
Noise removal methodologies for lung cancer diagnosis

Noise reduction is the one of the step in image processing where the process of reducing noise from an image. The noise present in the images such as in a medical image like Salt and Paper Noise, Gaussian Noise and others. Different noises have their own characteristics which make them identifiable from others. However, enhanced the image especially the medical images is required by doctors to help the diagnosis and interpretation because lack of images quality due to the noise. The methods of noise removal was be analysed from existing paper in literature review. Based on the existing paper, each of the method had their own benefits and drawbacks. Therefore, the uses of suitable method is important to improve the quality of medical image for early diagnosis of lung cancer. In this paper, Gaussian Filter and Median Filter is proposed for removing the noise from CT scan images. The objective of the study is to implement and develop the method of noise removal for lung cancer diagnosis. The development research methodology presented five fundamental stage which are investigation of existing method of noise removal, developing a new method for noise removal, implementation of the noise removal method, verification and validation. Therefore, the algorithm will be developed and implemented in MATLAB software. Then, the method will be tested and verified to detect the cancer in the lung image. The result of CT scan image of lung cancer were showed and to validated the performance of this proposed method.
On Constructing a Knowledge Base of Chinese Criminal Cases

We are developing a knowledge base over Chinese judicial decision documents to facilitate landscape analyses of Chinese Criminal Cases. We view judicial decision documents as a mixed-granularity semi-structured text where different levels of the text carry different semantic constructs and entailments. We use a combination of context-sensitive grammar, dependency parsing and discourse analysis to extract a formal and interpretable representation of these documents. Our knowledge base is developed by constructing associations between different elements of these documents. The interpretability is contributed in part by our formal representation of the Chinese criminal laws, also as semi-structured documents. The landscape analyses utilize these two representations and enable a law researcher to ask legal pattern analysis queries.
UVRento—Online Product Rental Application Using Cross-Platform Service

According to the current situation of high demand for mobile applications, combined with the mainstream and the enterprise activities (Yang and Zhang in Computing technology, industrial information integration, [1]), the emergence of E-commerce has been playing a vital role in each and every sector of our daily lives. The number of new and different product developments increasing each year, triggers probability of previous technology users, especially in electronic gadgets. There are at least 40% of people who change their smartphones, laptops or any other electronic devices in a minimum of 2–3 years (by social interactions). Hence the cost of living is increasing steadily. For instance, cost of living in Bangalore in the year 2015 was around 5000Rs–6000Rs, and now it has been increased around to 7000–10,000 per month ((B)Grady Booch Rational Santa Clara, California in object-oriented analysis and design, [2]). Hence, Rental applications may reduce cost of living without affecting the mandatory life choices and their preferring lifestyle. This paper gives a detailed hands-on experience with the Rental Platform, UVRento, and how it can be implemented using E-commerce model application services. UVRento is an application developed using Ionic Framework with Firebase as its backend. Ionic being a cross-platform framework, it makes easier to develop powerful and efficient applications for every major platform running out there (iOS, Android, Windows Phone, etc.). While Firebase along with Google’s security provides the database facility which is more robust, more reliable and easy to integrate with Ionic Framework (Ionic framework document, [3]; Learn firebase—tutorials, [4]).
Kinship Verification

This installment of Computer’s series highlighting the work published in IEEE Computer Society journals comes from IEEE Transactions on Pattern Analysis and Machine Intelligence.
Foreground Object Segmentation in RGB–D Data Implemented on GPU

This paper presents a GPU implementation of two foreground object segmentation algorithms: Gaussian Mixture Model (GMM) and Pixel Based Adaptive Segmenter (PBAS) modified for RGB–D data support. The simultaneous use of colour (RGB) and depth (D) data allows one to improve segmentation accuracy, especially in case of colour camouflage, illumination changes and shadow occurrence. Three GPUs were used to accelerate computations: embedded NVIDIA Jetson TX2 (Maxwell architecture), mobile NVIDIA GeForce GTX 1050m (Pascal architecture) and efficient NVIDIA RTX 2070 (Turing architecture). Segmentation accuracy comparable to previously published works was obtained. Moreover, the use of a GPU platform allowed us to get real-time image processing. In addition, the system has been adapted to work with two RGB–D sensors: RealSense D415 and D435 from Intel.
Development of LED TV Learning Media in Audio Video Electronics Maintenance and Repair Subjects at Surabaya KAL-1 Vocational School

This study aims to: (1) describe the quality of LED TV trainer learning media in Audio Electronics Maintenance and Repair subjects at Surabaya KAL-1 Vocational School; (2) describe the response of students in Audio Video Engineering at Surabaya KAL-1 Vocational School; and (3) analyze the learning outcomes of students of Audio Video Engineering at Surabaya KAL-1 Vocational School.This research was conducted in four stages, namely: (1) preliminary study; (2) designing the design of LED TV trainer learning media; (3) media validation and revision, and (4) empirical testing of LED TV trainer learning media in class XII students of Surabaya KAL-1 Vocational Audio Video Engineering and final revisions.The design of the empirical trial study was conducted using The One Group Pretest-Postest Design.To analyze differences in the average score of learning outcomes before and after being taught using LED TV trainers, the t-test was used.The study found that: (1) the results of the validation of the LED TV trainer learning media obtained an average score of 3.19; 3.88; and 3.69, and declared good/valid so that it is worthy of being used as a learning media; (2) there are differences in the average score of student learning outcomes before and after the learning process using LED TV trainer learning media; and (3) students' responses to the learning process using LED TV trainer learning media were stated positively with the percentage of responses amounting to 84.4%.