Reviewerly/exHarmony huggingface dataset:
Effect of head teachers support for teachers professional development on inclusive education implementation

&lt;p&gt;The study investigated the effect of head teachers’ support for teachers’ professional development on inclusive education implementation. Bartalanffy (1969) open systems advocates for head teachers to utilize management initiatives with partnerships to implement inclusive education. Descriptive survey was applied, and Chi-square tested the null hypothesis. Questionnaires were administered to 71 head teachers and 297 teachers, supplemented by document analysis. Interview was used on eight Quality Assurance Standards Officers (QASOs) and four Education Assessment Resource Centre Officers (EARCs). Quantitative data was coded and analyzed using descriptive statistics, and presented in frequency tables and bar graphs. Qualitative data was coded, transcribed and presented in narrative form. Both quantitative and qualitative data findings were discussed in juxtaposition with confirming or refuting the research evidence, and reinforcing the interpretation. The Chi-square results established that there was relationship between head teachers’ support for teachers’ professional development with inclusive education implementation. However, majority of head teachers and teachers lacked specialized skills in assessment of diverse learners, 77.5% and 80.5%; behaviour management, 74.7% and 79.1%; differentiated teaching, 80.3% and 81.1%, derailing teachers’ productivity and learners’ performance. Therefore, it was recommended that head teachers in collaboration with multi-agencies facilitate teachers’ inclusive education training in order to effectively implement inclusive education.&lt;/p&gt;
Determining the Effect of Variation in Colour Gradient Information for Optic Flow Computations

Optic flow algorithms provide mapping of 3D velocities on 2D image space. Optic flow is computed on the pair of images which are in sequence and is normally gray scale images. Optic flow computation using Horn and Schunck assumes that brightness consistency is maintained. Colour optic flow has the advantage that optic flow vectors are obtained even when there is a variation of brightness in the input images. The use of colour bands for optic flow is investigated by considering gradients of colour bands and component gradients. Results of applying these two types of gradients to three colour models are presented and analyzed. Decision logic is proposed to select the best colour model for colour optic flow computation based on gradient analysis. &nbsp
The Necessity of Vocational Education for Children in Preschool

Vocational education is an important activity in the process of developing the capacity to choose a career. Vocational education activities not only involve students, but are used to refer to all activities intended to support individuals of all ages and at all times in life with career understanding, make choices about career, job, job. Career guidance should be conducted right from the preschool level to prepare children for the perfect future career. The article is based on the results of analysis of Vietnam policy documents, domestic and foreign studies on vocational education as well as in-depth interviews. The article analyzes the role and tasks of vocational education for preschool children, some vocational education activities in preschools in Vietnam today, principles of vocational education for preschool children. In particular, the author also mentioned some forms of vocational education that have been implemented for preschool children today, such as field visits, vocational experience, career guidance.
SiamPAT: Siamese point attention networks for robust visual tracking

Attention mechanism originates from the study of human visual behavior, which has been widely used in various fields of artificial intelligence in recent years and has become an important part of neural network structure. Many attention mechanism-based trackers have gained improved performance in both accuracy and robustness. However, these trackers cannot suppress the influence of background information and distractors accurately and do not enhance the target object information, which limits the performance of these trackers. We propose new Siamese point attention (SPA) networks for robust visual tracking. SPA networks learn position attention and channel attention jointly on two branch information. To construct point attention, each point on the template feature is used to calculate the similarity on the search feature. The similarity calculation is based on the local information of the target object, which can reduce the influence of background, deformation, and rotation factors. We can obtain the region of interest by calculating the position attention from point attention. Position attention is integrated into the calculation of channel attention to reduce the influence of irrelevant areas. In addition, we also propose the object attention, and integrate it into the classification and regression module to further enhance the semantic information of the target object and improve the tracking accuracy. Extensive experiments are also conducted on five benchmark datasets. The experiment results show that our method achieves state-of-the-art performance.
AEGC 2021: Keynote speaker abstracts

Geophysics has had an enduring influence on society and has demonstrated its ability to grow and adapt to a variety of challenges. As a science, the term“geophysics” was first used in Germany in th...
The Effectiveness of Learning Videos as a Source of Digital Literacy on Poster Learning in Elementary Schools

Learning in elementary schools tends to focus on teachers so it is less empowering for students. Of course, this makes the low level of literacy process in student learning the purpose of this study is to find out the effectiveness of the use of video media as digital literacy on poster learning in elementary school. This study uses quantitative research methods using the pre-experimental method of design type one group pre-test and post-test. The subjects in the study were 10 grade III elementary school students consisting of 5 male students and 5 female students. The results of the study showed that the knowledge of students and students about poster material before and after the implementation of video media as digital literacy is remembered. Because learning videos are very helpful to students in understanding poster material. It can be concluded that the delivery of material through this video can indirectly improve digital literacy for students.
Hierarchical and dynamic threshold Paillier cryptosystem without trusted dealer

We propose the first hierarchical and dynamic threshold Paillier cryptosystem without trusted dealer and prove its security in the malicious adversary model.The new cryptosystem is fully distributed, i. e., public and private key generation is performed without a trusted dealer.The private key is shared with a hierarchical and dynamic secret sharing scheme over the integers.In such a scheme not only the amount of shareholders, but also their levels in the hierarchy decide whether or not they can reconstruct the secret and new shareholders can be added or removed without reconstruction of the secret.
Study of electrooculography signal acquisition sites for assistive device applications

Biomedical signals like electroencephalogram, electromyogram and electrooculogram are used in assistive device applications for patients suffering from speech disorders, spinal cord injury and hand amputations.All these signals are low frequency and low amplitude signals [1].When we try to pick these signals from our body, many artifacts or noises are present in the signal, which makes the signal-to-noise ratio poor.Among these signals, the electrooculogram is the most straightforward bioelectrical signal with a high signal-to-noise ratio and can be used to control several applications [2,3].
Differences In The Activity Of Female And Male Students In Guwa Kidul Village Cirebon

The inequality of academic achievement between female students and men in the village of guwa kidul creates anxiety for kuwu. Into a big question mark to be broken. Thus the reason for research on inequality. The method used in this study is a descriptive qualitative in which the research data is described or described. The study is conducted in SMPS al munawaroh village of guwa kidul district kaliwein cirebon district. Studies show that female students who dominate the quantity in schools are able to outperform male academic achievement. However, in non-academic aspects male students are superior. The causes of this are due to female students' greater study, reading, and memorization. Male students, on the other hand, are more adept at lessons that train creativity and skills such as sports and art. Which means they both have their own preeminence toward excellence. The school endeavored to ensure that both objects of research could hone their potential through reading and religious literacy.
An image encryption algorithm based on neural network

Chaotic encryption provides a practical method for the confidentiality protection of today's digital images.Aiming at the problem of the secure transmission of image information in the network, an image encryption algorithm based on laser chaotic system and neural network is designed in this work.The phase diagram, Lyapunov exponential spectrum and bifurcation diagram analysis confirmed the chaotic characteristics of the single-mode laser power system.On this basis, the plaintext image is first compressed by the BP neural network, and then the compressed image is chaotically generated and diffused using the chaotic sequence obtained by the single-mode laser chaotic system to obtain the ciphertext image, and finally the histogram, Adjacent pixel correlation, anti-differential attack, information entropy and other aspects to test the security of the proposed encryption scheme.Simulation results show that the image encryption algorithm proposed in this work can not only save the channel bandwidth used in ciphertext transmission, but also have good encryption effect and high security performance.
THE EFFECT OF LEARNING MOTIVATION ON LEARNING OUTCOMES THROUGH JIGSAW TYPE COOPERATIVE MODEL AT GRADE V SD RK BUDI LUHUR MEDAN

This study aimed to determine the effect of learning motivation on learning outcomes through a jigsaw type cooperative model on Theme 8 at Grade V SD RK Budi Luhur Medan. The research method used was an experimental type of quantitative research. The data were obtained by using data collection tools in the form of documentation, a questionnaire of 25 statements and 33 questions. The research was conducted at grade V SD RK Budi Luhur Medan on 20 to 21 May 2021. The number of samples were 35 students selected by saturated sampling technique. Based on statistical analysis of the data, it was obtained that the results of learning motivation questionnaire with student enthusiasm were 48% in very high category and the results of the pretest were answered by students was an average value of 65.8 in moderate category. Furthermore, the results of the post test scores obtained by students from the answers was an average value of 86.74 with very good category. The results of the correlation analysis of the influence of learning motivation on learning outcomes through Jigsaw Cooperative model obtained a correlation value of rcount = 0.880 with rtable = 0.334. Thus, the value of rcount was higher than the value of rtable, so the correlation was very significant. Hypothesis testing with t-test obtained tcount = 10,618 ttable 1,697. It was concluded that there was a significant influence between learning motivation on learning outcomes through Jigsaw Cooperative Model.
STUDI KOMPARASI MENYIMPAN DAN MENAMPILKAN DATA HISTORI ANTARA DATABASE TERSTRUKTUR MARIADB DAN DATABASE TIDAK TERSTRUKTUR INFLUXDB

The use of structured databases is still very widely used by companies in small and medium scale with the aim of processing data so that from these data conclusions can be drawn to determine a decision. But over time, of course the need for data that continues to grow can make a system run very slowly when using a structured database. That is caused by the amount of data that continues to increase every day, even for certain cases the data can increase every second. For this reason, an unstructured database is needed specifically for storing history data. From some existing unstructured databases, InfluxDB is one of the unstructured databases specifically intended for storing history data and has a very good ability to process data into a matrix for analysis. One of the key factors in an unstructured database is the database structure which is very different and supports to maximize database performance.
A Novel Framework for Recognize Handwritten Character and Text Detection using Neural Network

Real time Handwritten Character Recognition via using Template Matching is a system that's beneficial to recognize the person or alphabets in the given textual content through comparing two pictures of the alphabet. The objectives of this system prototype are to expand a software for the Optical Character Recognition (OCR) gadget by using using the Template Matching set of rules. Handwritten character popularity is a difficult challenge inside the field of research on picture processing, artificial intelligence as well as gadget vision because the handwriting varies from individual to man or woman. Moreover, the handwriting styles, sizes and its orientation make it even more complex to interpret the textual content. The several packages of handwritten textual content in analyzing bank cheques, Zip Code reputation and in casting off the hassle of managing documents manually has made it essential to accumulate digitally formatted facts. This paper presents the popularity of handwritten characters the use of both a scanned file, or direct acquisition of photograph the use of Matlab, followed with the aid of the implementation of diverse other tool boxes like Image Processing and Neural Network Toolbox to procedure the scanned or acquired photo. Experimental Results are given to offer the proposed version to be able to apprehend handwritten characters accurately.
Variety turn as the basis of an eductional concert

The purpose of the article is to analyze the creative process of the specifics of creating a variety of turns of different genres in an educational concert. The methodology consists of the use of the following methods: historical (art history), comparative, logical, and generalization, which allowed us to consider the issue of creative approaches as a basis for professional performance on stage. The scientific novelty of the obtained results lies in a qualitatively new approach to the issue of creating variety turns in educational concerts in the context of the formation of a modern specialist of variety art. Conclusions. Firstly, the analysis proved that for a variety of artists, namely in the genre of the compere’s comments, the proposed circumstances are the real circumstances of the concert. Secondly, a specific feature of communication between objects is the principle of interaction through the auditorium. Thirdly, the development of professional skills of improvisation on the stage is the most important condition for the training of future artists in higher art school. Fourthly, the main principle of work in an educational concert is to master a complex form of external and internal attention, which requires a constant «switching» of the way of existence of a variety of artists. Fifthly, when choosing, searching, and working on a variety of image-mask, the basic elements of the various artist's psychotechnics are crucial. Sixthly, various forms of educational concerts are the most important stage in the formation of professional skills of the future variety artist.
TEACHING BUSINESS ENGLISH CORRESPONDENCE IN THE DIGITAL ERA IN POLITEKNIK KOMPUTER NIAGA LPKIA BANDUNG

Up to the present era of digital technology, printed-letters sent by post or electronic-mail have a very important role in businesses and government institutions. Meanwhile, the learning process of Business English Correspondence at the Polytechnic of LPKIA Bandung has not been much adjusted to the advancement of information and communication technology, so it might not suffice the needs of students who must work after they graduate. This study aims to describe the positive impact on the ability of students to produce and send business letters after studying the improved Business English Correspondence subject at the polytechnic mentioned above. The method used is descriptive analytics, and the data collection techniques are literature studies, questionnaires and interviews. The research comprises stages from analyzing pre-questionnaire evaluation result, revising and implementing the syllabus in the class, to analyzing post-questionnaire evaluation result. This study reveals that after completing the improved Business English Correspondence course, most students’ awareness and ability increases in producing and sending business English letters and e-mail more properly. The conclusion is that a number of improvements should be made to the Business English Correspondence learning contents and methods to be able to keep pace with the current advances in digital technology.
Modeling of physical phenomena as a methodological means of forming a knowledge structure in physics and programming

To bring the theoretical basis to the improvement of the methodic of carrying out laboratory works in physics and computer sciences, a study of psychological and cognitive processes that accompany the corresponding educational activity was held. The important moment of the work is the research of the mental side of educational activities in the terms of formal logic. The accompanying steps to these mental activities and the talk activity are considered. The content component of the talk activity was considered in the work as an important diagnostic factor that indicates the level of understanding of the nature of the new material or the completion of the corresponding cognitive structure. The original graphical ways of formalization of the cognitive scheme of the object activity and the logic of its formation in the context of mental and materialized education activities are presented. These ideas were used to consider the processes of educational activity on the example of the creation of a simple physical model that is realized through the Python talk with the help of Visual library. Educational activities are considered through the prism of the evolution of the structural organization of mental representation of the objects of this activity.&#x0D; The research demonstrates the cyclical nature of the corresponding cognitive processes, materialized activities, and hierarchical character of the structure of knowledge that is formed in the process of educational activities in physics and programming. The correlation of these processes with the dynamics of the evolution of knowledge is settled. The conceptual ideas that could be useful for modifications of the methodic of realization of laboratory knowledge in the direction of modeling of physical processes and phenomena are formulated. Individual algorithmic problems of modeling of physical processes are considered in the research as components of the holistic system of problems. According to the point of view of the authors, in the course of the preparation of highly professional specialists in the domain of natural sciences, it is necessary to devote a lot of time to the conscious, goal-oriented formation of protocols of abstract logical and causal thinking. The methodology of such work is well formulated, especially in the well-known methods of descending step-by-step detailing and in modular programming
Development of auto sanitizer for mitigation of Covid-19 – Using solar powered aluminum structural chamber

&#x0D; &#x0D; &#x0D; The use of auto sanitizer in the disinfection of human body and surfaces against dangerous micro-organisms like coronavirus diseases that are infectious is of great importance to schools, family, community, and public health. The outbreak of novel Coronavirus in late 2019, which has crippled the academic, social, and economic activities globally is as a result of unhygienic activities of living creatures like, man, and animals. But a good number of technologies can be developed to tackle the emergence of this novel infectious virus. The challenge of COVID-19 that resulted to ill-health, high death rate, and shutdown of activities was being addressed radically by different medical practitioners, engineers through various practical innovations, methods and mitigation approach - ranging from the use of face shields and respiratory facemasks to practicing of social and physical distancing. This part of preventive measures has led us to developing an Auto Sanitizer that is made of Aluminum Chamber which does not wet the cloth or human body but disinfects it against COVID-19.&#x0D; &#x0D; &#x0D;
Individual Approach in Online Learning: Problems and Prospects

Examined is the problem of individual educational approach in online learning, presented is the description of the score-rating system. Answered is, why and how it is necessary to rebuild the educational process under conditions of Covid. Also presented are answers about the new method of working with students, what is the role of the individual educational route in the context of distance learning, how to restructure the educational process and make sure that students learn using the tools that will help them quickly acquire competencies in an online format, and about the implementation of feedback in the audience. The experience of working in the online mode in the Moodle system is described. The pros and cons of distance learning at the university are shown. A survey of students of three higher educational institutions was conducted. It is concluded that students need live communication, and distance learning is relaxing, inefficient under conditions of sometimes lack of Internet in localities.
Geometric dimension assisted absolute phase recovery in 3D shape measurement with digital fringe projection

Abstract A novel method of geometric dimension assisted absolute phase recovery in 3D shape measurement is presented. This method mainly includes two steps: (a) using the window Fourier filter-quality guided phase unwrapping algorithm to obtain the relative phase distribution of the tested object; (b) using the geometric dimension of the object as a clue to convert the relative phase distribution to the absolute phase distribution. This method is convenient, and only three fringe image acquisitions are needed to recover the absolute phase. In addition, there is no limit to the depth range of the tested object. The correctness of this method is verified by several experiments.
Extracting Structured Data from Text in Natural Language

Nowadays, the amount of information in the web is tremendous.Big part of it is presented as articles, descriptions, posts and comments i.e. free text in natural language and it is really hard to make use of it while it is in this format.Whereas, in the structured form it could be used for a lot of purposes.So, the main idea that this paper proposes is an approach for extracting data which is given as a free text in natural language into a structured data for example table.The structured information is easy to search and analyze.The structured data is quantitative, while the unstructured data is qualitative.Overall such tool that enables conversion of a text into a structured data will not only provide automatic mechanism for data extraction but will also save a lot of resources for processing and storing of the extracted data.The data extraction from text will also provide automation of the process of extracting useful insights from data that is usually processed by people.The efficiency of the process as well as its accuracy will increase and the probability of human error will be minimized.The amount of the processed data will no longer be limited by the human resources.