Reviewerly/exHarmony huggingface dataset:
Implementation of Contextual Teaching and Learning Model ( CTL) to Improve Students' Learning Motivation in Grade 3 SDN Wanoja 01

&lt;p&gt;&lt;em&gt;This research aims to find out the increased motivation of students in grade III SDN Wanoja 1 through ctl model in theme 3, knowing the increase in learning activities of grade III students at SDN Wanoja 1 through ctl model. This research was conducted in grade 3 of Wanoja State Elementary School 01. Data collection in this study uses test-shaped data collection techniques and with non-tests.. From all the data obtained in learning improvement activities through this class action research with the application of contextual teaching and learning approach, can be concluded as follows, the implementation of contextual approach can increase the motivation of Learning in grade 3 sdn Wanoja. This is characterized by the increasing quality of students' spirit and response in solving problems given by teachers, the increasing ability of communication and student work as well as the learning results obtained by students. These improvements include: (a) increasing student cooperation and helping students to solve problems in the learning process (b) increasing inter-student co-operation (c) increasing student involvement in the learning process, contextual learning, has given a new nuance in learning in theme 3 so that learning is more effective.&lt;/em&gt;&lt;/p&gt;
Generation and Validation of Osseous Fracture Patterns by Forensic Analysis

This article presents a method for the generation of bone fracture patterns and their automatic validation through the use of forensic analysis. A tool has been designed that allows the generation of a fracture pattern interactively and guided by the system, based on the study of real cases of fractures. This tool assists the specialist in obtaining fracture patterns according to certain rules taken from the statistical analysis of real cases. Additionally, a parametric fracture pattern generator has been developed. This autonomous generator is able to obtain fracture patterns according to forensic case studies. Once a fracture pattern has been generated, by using one of these two methods the system also provides the validation of this pattern based on a forensic analysis, indicating the feasibility of the fracture pattern being valid and explaining the causes of its validity or non-validity. In addition, these tools provide an analysis not only of the probability of a pattern being correct, but also whether it is capable of detecting some limit patterns that could be valid if experts indicate this circumstance. The system is not closed to new cases, it being possible to include new forensic analysis. Both the interactive tool and the automatic generator, have been validated by experts. The automatic generator tool has been checked for feasibility with forensic statistical analysis. Finally, a usability study was carried out to assess the intuitive use of the interactive tool.
Testing and Evaluation Towards Teaching and Testing

The purpose of the paper is to evaluated and tested the teaching and testing. A large number of examinations in the past have encouraged a tendency to separate testing from teaching. Both testing and teaching are so closely interrelated that it is virtually impossible to work in either field without being constantly concerned with the other. Tests may be constructed primarily as devices to reinforce learning and to motivate the student or primarily as a means of accessing the student’s performance in the language.
Nutrition Anthtropometric Status Model by Data Mining: Case Study in Palembang South Sumatera

Children under five nutrition status has been known as an important issue in every country.Monitoring of children nutritional status should be done to overcome nutrition problem in children under five years.Anthropometric is one way to determine nutrition status by measuring weight, height/ lenght and age.Nutrition status children under five years is classified by anthropometric indices based on latest World Health Organization (WHO) criteria: Weight for age z score (WAZ), height for age z score (HAZ), weight for height z score.Data mining is a technique in computer science to give information by prediction or classification.This study proposed decision tree model which combined with anthropometric method to monitoring nutritional status of children under five.Nutrition status of children which categorized by anthropometric indices is then classified with decision tree method to monitoring nutritional status by dividing into normal or chronic.This combination could gave quick information so that can be formulated solution to overcome.
Identification of Changes in Water Catchment Areas in Kulon Progo District Using Geographic Information Systems

Water is the basic needs of living things in this world. Infrastructure development that increased would cause the needs of water. Therefore, it has to be balanced with manage the good plan of water absorption region in an area. This research has been done in Kulon Progo districts that aimed at made maps and map the potential of water absorption region in Kulon Progo districts. The method used in this research was the tiered quantitative analysis survey with Geography Information System (SIG) software with the weighting parameter categorize model using overlap techniques in each parameter. The parameters were kind of rocks, rainfall, used land, and slope of the land. The data of the research was secondary data. Those were administration map, Topographical map, land used map, rainfall data, Shuttle Radar Topography Mission (SRTM), and soil map. The result of this research showed that water absorption region in Kulon Progo with dominated suitability condition in unsuitable class as wide as 32.804 ha followed by class as wide as 17.124 ha, and the smallest was class condition quite appropriate as wide as 7.976 ha.
Myanmar news summarization using different word representations

There is enormous amount information available in different forms of sources and genres. In order to extract useful information from a massive amount of data, automatic mechanism is required. The text summarization systems assist with content reduction keeping the important information and filtering the non-important parts of the text. Good document representation is really important in text summarization to get relevant information. Bag-of-words cannot give word similarity on syntactic and semantic relationship. Word embedding can give good document representation to capture and encode the semantic relation between words. Therefore, centroid based on word embedding representation is employed in this paper. Myanmar news summarization based on different word embedding is proposed. In this paper, Myanmar local and international news are summarized using centroid-based word embedding summarizer using the effectiveness of word representation approach, word embedding. Experiments were done on Myanmar local and international news dataset using different word embedding models and the results are compared with performance of bag-of-words summarization. Centroid summarization using word embedding performs comprehensively better than centroid summarization using bag-of-words.
E-Schools Development In Filial Schools As A Solution To Improve Teaching And Learning Activities And The Effectiveness Of School Administration

Lembaga Pembinaan Khusus Anak (LPKA) Class I Palembang is a pilot LPKA throughout Indonesia that has successfully implemented distance learning / filial schools with the same standards as the main schools (technical learning management schools) in collaboration with the Palembang City Education Office, Palembang City Government and Provincial Government of South Sumatra. LPKA Class I Palembang organizes formal education (filial schools) starting from elementary, middle, and high school levels. The purpose of this study is to build an e-school system as an alternative in overcoming problems in the teaching and learning process and academic administration of schools. The system development method used in this study is the Rapid Application Development (RAD) method, with the following stages: Requirements Planning, RAD Workshop Design, and Implementation. The results of this study are children's e-school systems so that it becomes a solution for LPKA Class I Palembang in implementing learning and improving the quality of children's learning.
Age Estimation with Smartphone: Is It Reliable for Forensics Identification?

Age estimation is one of the important components in forensic science used for personal identification, biological profile reconstruction, and help narrowing the search possibilities. Age estimation can be done by various methods and biological evidence, such as the human face. The human face is one of biometrics that provides a variety of information. The purpose of this article is to evaluate the accuracy and reliability of age estimation with face using smartphone for forensic identification based on previous studies and experiences. Age estimation by face is based on age progression that causes attrition and degeneration on soft tissue. With the development of technology, age estimation by face can be done with applications or websites on smartphone. In general, the utilization of smartphone can reduce waste, pollution, research cost and easier to save and share. A lot of applications have been developed and free to download. Unfortunately, the accuracy of its results is unknown. In conclusion, the applications for age estimation on smartphone give quiet good results and can be used as a supporting tool to estimate age in forensic identification.
An Analysis of Spoken English Errors of Tibetan-English Major Students—Take Qinghai Nationalities University for example

In order to improve Tibetan-English major students’ spoken English, the analysis of oral English errors is essential. Although English majors have more time and more methods to learn English, like other English learners, they will inevitably make mistakes. But what are the common Spoken English errors made by students in the Tibetan-English class in Qinghai Nationalities University? Are the mistakes they make in spoken English the same as those made by students whose mother tongue is Chinese? Mother tongue affects second language acquisition in a large extent. This research aims to find the main types of grammatical errors committed by Tibetan-English major students in spoken English, and through the language developments and changes of freshmen, sophomore and junior students, give relevant correction strategies and provides teachers with corresponding teaching methods. The main tools used in this research are Xunfei recording tools, Xunfei recording to text tools, Excel chart calculation, Word charts and manual counting. The interview method and the random sampling method are mainly used.
The Impact of Implementing a Zonasi System on the Acceptance of New Students in Junior High School in Yogyakarta

The purpose of this study is to explore the impact of applying the zonasi system policy on New Student Admissions (PPDB) in Junior High Schools (SMP). This study uses a qualitative approach with field observation techniques, documentation, and interviews. The results showed that the implementation of the zonasi system in PPDB in junior high schools had positive and negative impacts are: 1) the positive impact of the zoning system policy is to make schools more sensitive to the diverse needs of students. In addition, every teacher must be able to improve his quality at the time of learning related to the varied abilities of students, and 2) helped students with low minimum test score obtain an education. The negative impacts are: 1) the zonasi system makes good schools less good because the main components in PPDB are no longer based on academic achievement, and 2) limits students in choosing schools.
An Empirical Evaluation about Using Models to Improve Preliminary Safety Analysis

Context: Safety analysis is an activity of fundamental importance in the development of safety-critical systems (SCS) to ensure that hazardous situations are properly found and mitigated. Such analysis is usually performed after a system requirements specification is available. Therefore, it is then worthwhile to investigate specification techniques to detect their strengths and weaknesses with respect to finding and documenting hazards early in the development process. Objective: In this paper, we investigate similarities and differences in the results of a preliminary safety analysis from requirements specified using Textual Use Cases (TUC) and Business Process Modeling Notation (BPMN). Method: We adopted a controlled experiment as research method using computer engineering students as subjects. Results: The subjects of BPMN group found more accidents, hazards as well as more causes of hazards. Moreover, they have a higher preference for the template used for safety analysis documentation. Conclusions: The use of BPMN to represent the interactions among actors in a system probably lead to the discovery of more accidents and hazards, but more experiments are necessary to test this hypothesis since the results are not statistically significant.
A Research Based on How Augmented Reality can Impact on Student

Physical-world is three-dimensional and mostly we prefer to use two-dimensional media in education. The mixture of AR technology with the tutorial content creates new quite automated applications and acts to strengthen the effectiveness and attractiveness of teaching and learning for college kids in real-world scenarios. Augmented Reality (AR) could also be a technology field that involves the seamless overlay of a computer generates virtual images on the important world, in such how that the virtual content is aligned with world objects, and may be viewed and interacted with in real-time. Technology in education can influence students to seek out activities and should motivate them, leading to an efficient process of learning. The review of the results of research shows that, overall, AR technologies have positive potential and advantages which may be adopted in education.
Beyond Adjacency Pairs: Hierarchical Clustering of Long Sequences for Human-Machine Dialogues

This work proposes a framework to predict sequences in dialogues, using turn based syntactic features and dialogue control functions.Syntactic features were extracted using dependency parsing, while dialogue control functions were manually labelled.These features were transformed using tf-idf and word embedding; feature selection was done using Principal Component Analysis (PCA).We ran experiments on six combinations of features to predict sequences with Hierarchical Agglomerative Clustering.An analysis of the clustering results indicate that using word-embeddings and syntactic features, significantly improved the results.
DIGITAL COMPETENCES AND SOCIAL IMPACT: EXTRACURRICULAR LEARNING

The underrepresentation of women in technical degrees is a matter of concern, as it leads to multiple issues such as the lack of diversity and the exclusion of women from the tech industry and job market.Several initiatives have been developed to fight against this situation.Many of those target Primary School students, as gender stereotypes are developed during early years and they have been identified as one of the reasons why female students do not choose technical careers.This work evaluates the cross-sectional impact of an extracurricular activity identified as the first one targeting a mixed audience, covering a wide age range, and with cross-border and multi-competence effect.This activity consists in an international contest, launched in Spain and Latin America, where groups of students meet female professionals working in technology, that act as role models breaking classical stereotypes.Students create a website including profiles of women in tech: their biography, career, main achievements, and any other aspects that the students want to include.Instead of promoting classical female role models, the contest forces participants to select contemporary professionals that live in their own country or even their city, so students can meet more close inspirational models.The contest evaluation criteria prioritize those websites containing video or text interviews with the professionals, encouraging the students to meet them and ask them all their questions and concerns.Using questionnaires addressed to both teachers and students, we have studied the evolution of the impact of the activity during two editions.We have identified an increase in the cognitive and emotional impact, on both students and teachers.This initiative has managed to break gender stereotypes associated with technological professions, while promoting interest in technical careers, teamwork, digital skills, research capacity and creativity.
The Use of Metaphor in Designing Ocean World Aquarium

Ocean World Aquarium design is a design for developing Cermin Beach Theme Park is located in Serdang Berdagai Regency, North Sumatera. This design depicts the sea and coastal life, such as the beach and the Mangrove forest. The application of metaphor in this architecture becomes one of the sell values of this building. The shape of coastal animals such as Crab is chosen as a metaphor for the building design. This Ocean Aquarium design is expected to benefit the community by becoming a recreational and educational place as well, and able to be a creative and educational vehicle in this Theme Park development tour
Spring 2020: Toward a Digital Transformation of Education

“We will remember this spring as a time of digital transformation in education,” these words of Valery Falkov at the opening of 2020 International Moscow Salon of Education convey an atmosphere of change that has filled the entire educational sphere. Today’s disputes on need for measuring teachers` professional deficits grow fast. Deficiency approach focused on revealing certain mismatch of teacher and his professional activity prevails in most studies that identify and assess the level of professional competences. Of course, this one of important tools for determining qualification gaps will be presented in research works, but in combination with activity-based approach which has proved its effectiveness. Action research is one that identifies and professional difficulties and need of teacher and logically determines routes of his professional development through the system of continuing professional education. It should be noticed that pandemic and transition to distant and online learning revealed lack of very simple skills in teachers such as proper organization of learning process in remote or online mode. Many teachers, students and their parents were not psychologically prepared for complete transition to digital education. In this regard, it is quite reasonable to highlight such challenge in education in digitalization process and need for overcoming it. The paper includes analysis of current satiation in school education in terms of digitalization and transition to online learning. The study brings together various views on methodology and mechanisms of digitalizing school education, and criteria of valid identification of teachers` digital competencies. The present study attempts to compile a passport of teacher’s digital competencies and approve a pilot program called “Cognitive models and algorithms for formation of teacher’s digital competence in context of digital transformation of general education”. The reported study was funded by RFBR, project number 19-29-14030.
RESEARCH ON AUXILIARY DIAGNOSIS OF POWER COMMUNICATION FIELD OPERATION AND MAINTENANCE BASED ON CBR

Aiming at managing on-site operation and maintenance of power communication, based on the case-based reasoning (CBR) technology, an optimization method using GRNN neural network is proposed to improve CBR retrieval efficiency, which realize the self-learning and self-growth of an on-site problem diagnosis, and the problems of the traditional CBR algorithm such as low matching degree and slow convergence speed are effectively avoided. The simulation results show that the CBR retrieval algorithm based on the GRNN neural network has a high recall rate and precision rate, which can provide more credible auxiliary diagnosis cases for on-site operation and maintenance personnel and has strong practicability.
Image Encryption Algorithm Based on Block Scrambling and Finite State Machine

To better protect the image information, an image encryption algorithm based on block scrambling and finite state machine is proposed. The method uses discrete wavelet transform (DWT) to divide the original image into four frequency bands. Secondly, chaotic sequences and zigzag scanning curve are used to construct a scrambling matrix to scramble the four frequency bands. Then combine the chaotic sequence, DNA coding, and automata to transform the state of the scrambled image. Finally, the key stream is used to diffuse the sequence to improve the security of cipher images further. Experimental results and security analysis show that the proposed encryption scheme can resist various attacks and ensure the secure transmission of images.
IEEE Access Special Section Editorial: Scalable Deep Learning for Big Data

Deep learning (DL) has emerged as a key application exploiting the increasing computational power in systems such as GPUs, multicore processors, Systems-on-Chip (SoC), and distributed clusters. It has also attracted much attention in discovering correlation patterns in data in an unsupervised manner and has been applied in various domains including speech recognition, image classification, natural language processing, and computer vision. Unlike traditional machine learning (ML) approaches, DL also enables dynamic discovery of features from data. In addition, now, a number of commercial vendors also offer accelerators for deep learning systems (such as Nvidia, Intel, and Huawei).
Compressed sensing for infrared interferometric imaging

Interferometry is a high resolution technique that enables us to study physical processes at the smallest spatial scales that we can probe with our telescopes. In the infrared and in (sub-)millimetric Very-Long-Baseline Interferometry, the technique is restricted to sparse arrays with only a few telescopes or antennas. While imaging would the most intuitive way to interpret interferometric data, recovering images from sparse arrays is an &#105;ll-posed" problem and Fourier inversion techniques are restricted. In this work, we explore a novel imaging scheme based on Compressed Sensing to recover interferometric images. For this purpose, simulated data from the Aperture Masking mode of the James Webb Space Telescope are presented. Our results suggest that reliable interferometric images can be recovered using this technique. In particular, we highlights the recovery of the source structure with high-contrast and low-level residuals.
Development of future teachers readiness for academic mobility

The article deals with problematic issues of international student mobility of students as a means of professional and personal self-development of future teachers. The aim of the research is to determine theoretically and empirically the socio- managerial and psychological-pedagogical conditions for the development of future specialists in the field of education readiness to participate in the processes of international student mobility. Research methods: analysis of conceptual positions and a critical review of research on the problem of international student mobility, student questionnaires, methods of descriptive statistics. The results of an empirical study of incentives and inhibitors of future teachers ' participation in the processes of educational and scientific exchange between higher education institutions are presented. Based on the results of the study, the authors provide a justification for the need to develop systematic measures to overcome organizational and managerial, competence-activity, and socio-psychological barriers to international student mobility.