Reviewerly/exHarmony huggingface dataset:
TECHNOLOGY OF INITIAL DIAGNOSTICS OF PRIMARY SCHOOL PUPILS’ LEARNING OUTCOMES

The article actualizes the need to develop and use learning technologies in the educational process. It is given a brief retrospective overview of the use of the concept of technology in pedagogy and other concepts related to the technologization of the educational process in a rapidly changing environment. The content and characteristic properties of the category of learning technology are determined, namely: specific activity direction of teachers and pupils; taking into account pedagogical laws and regularities; the presence of the features of the didactic system (providing with methods, techniques, tools, conditions); reproducibility and productivity.The need to solve the problem of developing tools for the implementation of the initial diagnostics of residual learning outcomes of primary school pupils in the post-quarantine period is substantiated. The essence of the concepts connected with the initial diagnostics is considered: pedagogical diagnostics as studying the state of the educational process components; learning as a stable property of the individual, reflecting his/her ability to further learning; residual learning outcomes as part of the learning content, which is retained in the practice of pupils after the stage of studying the educational material and is sufficient for further educational activities.The author's technology of the initial diagnostics of primary school pupils’ learning iutcomes is described with emphasis on the content of three modules – Ukrainian language, mathematics, integrated course "I explore the world". The learning outcomes to be mastered by pupils in the first, second, third and fourth grades are determined. The author also presented guidelines for formulating incentives for pupils to perform educational activities with a focus on the relevant mental processes, which are determined by the classification of educational goals. It is emphasized that this approach provides differentiation of tasks and allows during the diagnostic research to establish which stage of achievement of the educational goal corresponds to the residual result shown by the pupil. The results of observations on testing the tools of the developed technology are given, the prospects of experience of its application are outlined.
Efficient Depth Map Creation with a Lightweight Deep Neural Network

Finding depth information with stereo matching using a deep learning algorithm for embedded systems has recently gained significant attention owing to emerging high-performance mobile graphics processing units (GPUs). Several researchers have proposed feasible small-scale CNNs that can run on a local GPU, but they still suffer from low accuracy and/or high computational requirements. In the method proposed in this study, pooling layers with padding and an asymmetric convolution filter are used to reduce computational costs and simultaneously maintain the accuracy of disparity. The patch size and number of layers are adjusted by analyzing the feature and activation maps. The proposed method forms a small-scale network algorithm suitable for a vision system at the edge and still exhibits high-disparity accuracy and low computational loads as compared to existing stereo-matching networks.
SISTEM INFORMASI DAN PENGOLAHAN DATA KRIMINAL DI POLRES PASAMAN BARAT DENGAN AKSES VIRTUAL HOST BEBASIS CLIENT SERVER MENGGUNAKAN BAHASA PEMROGRAMAN PHP DAN DATABASE MYSQL

The rapid development of computer technology and information greatly helps work in storing, accessing to data processing becomes faster and easier, this has triggered various fields in utilizing this with the use of computer-based information systems, especially for intelligence units in western security police. The system that will be created uses access to the virtual host-based client server. Modeling used UML modeling, this system is built using PHP programming language and MYSQL database. The results of the study show that the information system designed can process criminal data and is able to be implemented at the research site..
A Double-Key Based Encryption-Decryption Process for Stronger Secured Message Transactions

A double-key based stronger secured electronic message transaction system has been designed and developed using Python programming language by performing encryption-decryption process. To do this, simple cryptographic encryption and decryption techniques are used with two keys avoiding vulnerabilities of a single key. First, the intended message is encrypted with the private key of sender (PRa) and the output is again encrypted with a shared secret key (K1) that generates ciphertext. The output ciphertext is again encrypted with another shared secret key (K2) that generates a code that serves as Message Authentication Code (MAC), which is concatenated with the ciphertext. And again encrypted them with shared secret key K1 that produced final ciphertext which is to be send to the intending recipient. The shared secret keys K1 and K2 are getting from the key distribution center (KDC). In the receiving end, receiver first decrypts the received information with the shared secret key K1 that gives the ciphertext and MAC of the ciphertext, and then decrypts only the MAC to generate a new ciphertext′and compare the new ciphertext′ with the received ciphertext that ensures the ciphertext authentication as well as message authentication; if ciphertexts are found same, then the ciphertext is decrypted with shared secret key K2 and again is decrypted with the sender’s public key (PUa) and retrieve the message; otherwise discarded. This proposed system ensures the stronger authenticated message transactions among the communicants. Finally, a comparative study with the existing systems has also been performed and measured stronger security. This technique can be applied for any secured electronic information transfer system with stronger security services.&#x0D; GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 6(1), Dec 2019 P 75-80
Penilaian Siswa SMK Yuppentek 3 Balaraja Tangerang Berbasis Web Sebagai Media Informasi

Information technology is increasing so fast that computers are widely used in everyday society, including in education, computers are needed. With the rapid increase in information, information media is very important because it is one of the tools to collect and rearrange information so that it becomes useful material for recipients of information. Many teachers have difficulty in giving grades because they are still in manual form so it takes a long time to provide grades using Microsoft Excel, thus making an assessment system is needed as a medium of information for students and teachers. So that teachers can more easily input grades and students can immediately see the value. The system to be designed in this assessment facility maker uses the web, UML (Unified Modeling Language), PHP, MYSQL and Black Box testing with the SWOT analysis method (Strenghts Weakness Opportunities Threats).
TEACHING WRITING DESCRIPTIVE TEXT BY USING FACEBOOK AT SEVENTH GRADE SMPN 1 SEMEN

The purpose of this research is to find out whether Facebook is effective or not in teaching writing descriptive text. This research employed a quantitative approach of using true experimental. Meanwhile, the research using Post-test Only Control Design for writing skill. The research was conducted in the seventh grade of SMPN 1 Semen in academic year 2018/2019. This research using 2 class as the sample, experimental group and control group. To get the result of the research, this research using test. The mean score of experimental group is 72.50 in a good category. Meanwhile, the mean score of control group is 57.83 in fair category. The result of independent sample test show that there is significant difference between experimental group which is taught by using Facebook and control group which is not taught by using Facebook. The alternative hypothesis stated that Facebook is effective to be used in writing descriptive text at the seventh grade of SMPN 1 Semen.
KEEFEKTIFAN KALIMAT DALAM TEKS BERITA SISWA KELAS VIII SMP PEMBANGUNAN LABORATORIUM UNP

ABSTRACT The purpose of this study is to describe the sentences in the student explanation text in terms of four things. First, the effectiveness of sentences in terms of language accuracy, there are 175 (62.94%) errors. Ineffectiveness of the sentence based on elements of syntactic functions (28 errors), missing sentence elements (13 errors), redundant sentence elements (134 errors). Second, the effectiveness of sentences in terms of word accuracy has 18 (06.47%) errors. Ineffectiveness of the sentence lies in the accuracy of the concept (5 errors) and the accuracy of the usage context (13 errors). Third, the effectiveness of sentences in terms of spelling accuracy is 165 (58.63%) errors. The ineffectiveness of the sentence is in the use of capital letters (72 errors), the use of periods (5 errors), the use of commas (40 errors), and writing words (46 errors). Based on these results it can be concluded that the sentences in the news text of class VIII students at SMP Pembangunan Laboratory Laboratory are not effective. This is evidenced from the 278 sentences studied, there were 76 (27.33%) effective sentences and 202 (72.66%) ineffective sentences with 356 errors. Kata kunci: Keefektifan Kalimat, Teks Berita
Pelatihan Pembuatan Web Organisasi Pada Jaringan Internet Untuk Remaja Di RT 014/RW 01 Gg. Rambutan Jagakarsa Kota Jakarta Selatan

The development of science in today's era has increased so rapidly. The increasing need for information encourages people to develop new technologies so that data and information processing can be done easily and quickly. To make things easier, of course not only using human labor, but also using modern technology, for example by utilizing internet technology. Many teenagers are competing to install internet networks to be able to enjoy the convenience of obtaining information via the internet, one of which is RT 014 / RW 01 Gg. Rambutan Jagakarsa, South Jakarta City.&#x0D; Youth at RT 014 / RW 01 Gg. Rambutan Jagakarsa, Jakarta City. Currently, most teenagers have used the Internet in their environment but the use of this Internet network is still not optimal due to the ability to utilize information technology. This can be seen from the absence of blog sites or websites.&#x0D; By looking at the benefits that can be obtained from a youth association website at RT 014 / RW 01 Gg. Rambutan Jagakarsa, South Jakarta City as a medium of learning media, it is necessary to hold web development training on computer networks to create and manage youth websites at RT 014 / RW 01 Gg. Rambutan Jagakarsa, South Jakarta City
“CONCEPTUAL DIRECTIONS OF HIGHER EDUCATION SYSTEM IMPROVEMENT”

The article discusses the conceptual directions of improving higher education within the framework of the tasks identified in the Address of the President to the Oliy Majlis on January 24, 2020. To implement one of the tasks set by the President for the formation and development of “Higher Education Without Corruption”, the model “Higher Education” was developed without corruption ”and the ways of its formation are shown. A number of conceptual directions of a radical reform of higher education have been developed. They were based on the introduction of strict discipline in higher education institutions (universities), ensuring the compatibility of theory and practice in the educational process in universities, training based on special orders of entrepreneurs, and solving the problem of commercialization of intellectual property. It was also argued that the structure and order of teaching in the higher education system should be changed, that current programs are mainly preparing to become specialists in order to work in some work establishments, in enterprises and in tomorrow's institutions, and not fully meet today's requirements. The issues of gradual transition of universities to academic and financial independence were also considered
Transcribing in ESL: An Investigation into Role, Accuracy, and Skills

The role, accuracy, and skills of a team of ESL researchers who transcribed more than 3,000 English language learning histories (LLH) from university students in Hong Kong is examined in this paper. The paper provides an insight into the role of transcribers, how they approach their work, the problems they face, and how they overcome them including the conflict of their prior English language learning. A self-administered semi-structured interview and thematic analysis were used in this qualitative study. The findings show that transcribers learned experientially as they combined project guidelines and prior experience to achieve accuracy Transcribers feel more comfortable working on data that is closer to their English as a second language (ESL) background; however, this also contributed to personal conflict such as correcting grammatical errors. The outcomes suggest training, clear guidelines from supervisors, and incorporating feedback from transcribers can improve the richness and accuracy of data which is of great importance to second language data collection.
Antonella Sarti Evans translates Mary Maringikura Campbell

‘Yellow Moon. E Marama Rengarenga’: 7 poems by Mary Maringikura Campbell translated for the first time into Italian by Antonella Sarti Evans The original texts of Mary Maringikura Campbell’s poems have been reproduced here by the author’s generous permission and have been included in the recent collection ‘Yellow Moon. E Marama Rengarenga’ (HeadworX, Wellington, June 2020).
A Goal-Based Framework for Supporting Medical Assistance: The Case of Chronic Diseases

Chronic diseases cause many deaths worldwide each year. The most common action to manage this type of disease is to conduct expensive pathological tests whose goal is to assess risks and identify early complications to patients’ health or to prevent the patient from developing other diseases. The choice of which action/test to perform is therefore important. There are in the literature some guideline-based decision-support systems which help to assist practitioners to choose the appropriate therapeutic action for their patients. The idea of such systems is to structure a guideline as a set of choices to be made by the clinician. However, such a set of actions/tests/decisions can change according to new information obtained concerning the patient state (direct answers from the patient, blood test results, etc.). Because the time factor may be crucial and because executing tests is expensive, it is then important for the practitioners to ask for or to quickly obtain useful information helping take the good decision in order to achieve the goals of excluding the risks as soon as possible, which means with a minor quantity of information/tests required. In this paper, we address the challenges introduced above by proposing an agent-based framework that supports the development of an intelligent goal-driven agent to help practitioners in choosing the most useful action to perform (question to ask a patient, test, etc.) in the case of a chronic disease. The framework supports the selection of the next dialogue action by measuring the usefulness, with respect to a goal, of a piece of information to be obtained. We introduce our framework through the use of a running example, showing how an agent can drive the interaction based on both its background knowledge and the new information it acquires. Experiments performed concerning two chronic diseases, namely asthma and type-2 diabetes, validate our approach. Finally, we discuss further possible scenarios where our framework can be applied in different ways.
Robust Watermarking Process for Medical Images Using Discrete Wavelet and Gaussian Noise

Image Watermarking has become an important technique nowadays for the copyright protection. In this paper, a new wavelet-based watermarking scheme isproposed. The experimental results show the efficiency of the watermarking scheme, which emphasize a good combination between Gaussian noise and Daubechies wavelet. The PSNR (Peak signal to noise ratio) index is used to perform the evaluation of watermarking between host and watermarked images. For a set of ten sequential images a significant increase in the PSNR value is observed when the images contain a higher gray pixels area.
Breast cancer detection using machine learning algorithms

Breast cancer has been the riskiest malignancy among ladies around the world. Nearly 2 million new cases were diagnosed in 2018. The main problem in the detection of breast cancer is to find how tumors turn into malignant or benign and we can do this with the help of machine learning techniques as they provide an appropriate result. According to research, an experienced physician can diagnose cancer with 79% accuracy while using machine learning techniques provides an accuracy of 91%. In this work, machine learning techniques have been applied which include K-Nearest Neighbors algorithm (KNN), Support Vector Machine (SVM), and Decision Tree Classifier (DT). To predict whether the cause is benign or malignant we have used the breast cancer dataset. The SVM classifier gives more accurate and precise results as compared to others, and this classifier is trained with the larger datasets.
Novel Method for Copy-Move Forgery Detection

A technique named forgery detection is used for detecting alterations from the image.This approach comprises several methods.This research study is depending on identifying theforgery in copy-move.The PCA algorithm will mark the principle component analysis for incompatible pixels from the picture.The GLCM algorithm is applied with the PCA algorithm in this research study for detecting forgery.The proposed algorithm is executed in MATLAB and outcomes are scrutinized on the basis of PSNR and MSE values.It is scrutinized that the proposed algorithm gives good performance in comparison with existing algorithm.
Democracy at Risk: An Analysis of Electronic Voting Machines Security And Their Impact On Indian Democracy.

For more the two decades Elections in India are carried out by electronic voting (EVM) devices designed by two government-owned companies during the last two decades. These, recognised as EVMs in India, they are known for their simple architecture, ease of usage, and reliability, at the same time they have also been criticised for vulnerable and exploitative nature and repeated reporting of violations in elections. Despite this criticism, some elements design of the device were never officially disclosed and were not subject to a thorough objective protection review. In this paper we will discussed how EVM as machine base, are ease to serious attacks that might affect the result of the election and compromise the secrecy of the vote. We try to highlight the security reviews of EVM in this paper and its possibilities of violation which causes a great treat to any democratic country of the world.
THE DEVELOPMENT OF CREATIVITY OF STUDENTS BY USING CRITICAL THINKING IN SOCIAL SCIENCE

The article analyzes the development of students` creativity in social science studying. We consider the points of contact between critical and creative thinking in the development of students` creativity, which are different in content and functionality in cognitive educational process, but they are the complement of one another. The author`s approach to teaching social studies is based on the use of an integral model in the development of creativity by using both creative and critical thinking in doing tasks. Creative thinking is based on causing of a new cognitive product, while critical one is based on making a high–quality cognitive product and testing it for feasibility. The solving cognitive problem stages include understanding of a problem, creation, correction and implementation of a hypothesis, idea or a new way of solving. At the beginning they require primarily individual creative thinking methods and then working in a group. Identification of contradictions, known and unknown, analyzing the situation, pulling out hypothesis, verification of cognitive product efficiency require critical thinking mainly in group. Using mental operations complex, exercising, development of imagination in solving problem and cognitive tasks, changing problems specifications, using teaching methods, co-ordination individual and group work facilitate individual creative development.
PERANCANGAN APLIKASI M-LEARNING UNTUK PEMBELAJARAN EBUSINESS BAGI MAHASISWA DENGAN MENGGUNAKAN PERANGKAT MOBILE BERBASIS ANDROID

In supporting the success and smoothness the process of learning, the thing that must be considered is learning resources. With the fast development of technology at the moment, the learning resources are not limited to conventional media such as text books. The content that comes from books currently has been transformed into digital form with more effective and efficient learning models, such as Mobile learning. In this case, the author is motivated to develop a software that functions as a learning medium by utilizing the benefits of a mobile smartphone based on the Android operating system. This software can be a learning media that make it easy to learn e-business science with priority material about e-business infrastructure. This application has the aim to assist teachers in delivering material outside of lecture hours, making it easier for students to learn through smartphones that can increase student interest in learning.
Sequential Sampling and Estimation of Approximately Bandlimited Graph Signals

Graph signal sampling has been widely studied in recent years, but the accurate signal models required by most of the existing sampling methods are usually unavailable prior to any observations made in a practical environment. In this paper, a sequential sampling and estimation algorithm is proposed for approximately bandlimited graph signals, in the absence of prior knowledge concerning signal properties. We approach the problem from a Bayesian perspective in which we formulate the signal prior by a multivariate Gaussian distribution with unknown hyperparameters. To overcome the interconnected problems associated with the parameter estimation, in the proposed algorithm, hyperparameter estimation and sample selection are performed in an alternating way. At each step, the unknown hyperparameters are updated by an expectation maximization procedure based on historical observations, and then the next node in the sampling operation is chosen by uncertainty sampling with the latest hyperparameters. We prove that under some specific conditions, signal estimation in the proposed algorithm is consistent. Subsequent validation of the approach through simulations shows that the proposed procedure yields performances which are significantly better than existing state-of-the-art approaches notwithstanding the additional attribute of robustness in the presence of a broad range of signal attributes.