Reviewerly/exHarmony huggingface dataset:
NEEDS ANALYSIS OF USING E-LKPD BASED ON LIVEWORKSHEET NATURAL SCIENCE LESSONS IN CLASS V ELEMENTARY SCHOOL

One of the learning adaptation processes in the revolutionary era 4.0 is digital and interactive based student worksheets (LKPD). LKPDs that are more innovative and can be packaged in online form or can be called Electronic Student Worksheets (E-LKPD). This study aims to conduct a needs analysis of E-LKPD based on liveworksheets in science subjects in class V SD. This research was conducted at SDN 87 Palembang. Collecting data in this study using a questionnaire with qualitative data types. The data analysis technique used is descriptive analysis with data reduction, data presentation, conclusion and verification. The data that needs to be analyzed regarding the use of the types of teaching materials used, the implementation of learning, the evaluation system, and the factors that support it. The results of the needs analysis research showed that 46.9% answered that the learning method that was often used was discussion or question and answer and 84.4% of students answered that they had difficulty understanding science subjects in class. A total of 78.1% of students stated that they really needed liveworksheet-based E-LKPD teaching materials in the learning process in class. And 75% of students strongly agree if the use of the E-LKPD is equipped with interesting pictures, videos, audio and questions. It was concluded that E-LKPD based on Liveworksheets can be used as an alternative electronic teaching material.
THE DEVELOPMENT OF FLASHCARD MEDIA TO IMPROVE BILINGUAL ABILITY IN THE KINDERGARTEN

Education is one of the important fields or elements in the progress of the State, therefore, the government is currently carrying out an educational revolution which aims to improve the quality of education in the terms of basic and high level learning. One of the efforts to improve the quality of education is by increasing bilingual ability in the kindergarten. Bilingual ability is the ability which use two languages as a means of daily communication, the bilingual ability can be developed through the bilingual learning which is taught early to the students which has the benefit to develops the students' cognitive abilities, and introduces the students to a more diverse foreign culture. To develop the bilingual ability at the basic level, flashcard media will be developed with the aim of improving the bilingual ability in the kindergarten in the group B at Cambodian Kindergarten in Lamongan with the theme of transportation that meets the validity criteria and practicality criteria for the kindergarten students. The test result of the flashcard media of the material experts was 89.9% with very good criteria and the test result of the media experts was 76.8% with good criteria. While the test result of the individual was 91.2% with very good criteria, the test result of the small group was 90.6% with very good criteria and the test result of large group was 92.2% with very good criteria. From the test results, it shows that the development of the flashcard media is suitable with the learning objectives set and the use of flashcard media can achieve the learning objectives to improve the bilingual ability in the kindergarten.
THE PROFICIENCY OF THE THIRD SEMESTER STUDENTS OF ENGLISH STUDY PROGRAM UNIVERSITAS RIAU IN COMPREHENDING READING SECTION OF TOEFL

This descriptive quantitative research was designed to discover the proficiency of the third-semester students of the English study program FKIP Universitas Riau in comprehending the Reading Section of TOEFL. The population of this research was the third-semester students of the English study program FKIP Universitas Riau which consisted of 119 students. The sample was 119 students selected by using the total sampling technique. The instrument of the research was a TOEFL Reading Comprehension Section test which consists of 50 multiple-choice questions. The students’ scores in the TOEFL Reading Test were analyzed in selecting skills based on the blueprint of the test related to the reading syllabus that samples took on Reading Comprehension III class. From the data analysis, the average score is 37. The researcher found that the students’ reading proficiency can be categorized as poor in level. Using Contexts for Vocabulary reaches the highest score (58), while Scanning for details is the lowest score (43). The finding implied that the third-semester students of the English study program FKIP Universitas Riau should improve their proficiency in comprehending Reading Section of TOEFL to get a better score.
Specific Search Engine Identification Model Based on Improved TF-IDF and SVM

Search engines have become one of the indispensable tools on the Internet. A specific search engine identification model can effectively identify the types of search engines. The model constructs website feature vectors according to the already mastered website samples and common website samples. And the text feature vectors calculated according to the improved TF-IDF algorithm are used to build a support vector machine (SVM)-based search engine recognition model. Finally, 2,000 website data were randomly selected from the 300,000 search engine-related website source data. After verification, the model has a high recognition rate for specific types of search engines.
Coded Distributed Computing Schemes with Fewer Output Functions

Li et al. proposed coded distributed computing (CDC) to reduce the communication load between servers by increasing the computational load of each server. They have shown that this scheme achieves the fundamental trade-off between computational and communication load. However, with the increase of the number of servers in this scheme, the output function and input file also increase exponentially. In this paper, we propose a new scheme to solve this problem. We show that when the number of servers increases, 1) the number of output functions of the proposed scheme is much smaller than that of Li et al., and the number of output functions required decreases exponentially; 2) the ratio of the communication load of our new scheme to that of Li et al. is less than 1.9981.
PTLC: Protect the Identity Privacy during Cross-Chain Asset Transaction More Effectively

With the continuous development and innovation of blockchain technology, a large number of blockchain networks with various features have emerged to satisfy the needs of differ-ent scenarios. For example, Cross-Chain technologies have been proposed to enable information interaction and value transfer between two blockchains. In Cross-Chain asset transaction, the Hashed Timelock Contract (HTLC for short) algorithm is the most widely used to control asset transaction. However, the HTLC algorithm has a problem of low-level security assurance in practical applications: Attackers can associate the accounts of both parties involved in a Cross-Chain transaction by comparing contract parameters on different chains, which leads to the disclosure of identity privacy information of both relevant parties in the Cross-Chain transactions. In order to protect the identity privacy information of Cross-Chain traders, a new privacy protection method for Cross-Chain asset transaction was proposed based on Paillier homomorphic encryption (PTLC for short) in this paper, which uses Paillier homomorphic encryption to replace hash encryption in privacy protection process. It not only maintains a high security of Cross-Chain asset transaction, but also solves the major problem of identity privacy information leakage during whole asset transaction process. Experiments of cross-chain asset transactions are conducted in two different Ethereum private chains, and experimental results show that the proposed method PTLC can protect the identity privacy information effectively and achieve a low GAS consumption value in the Cross-Chain process.
Evaluation of Intelligent Information System

While artificial intelligence evolves rapidly, intelligent information systems are making significant progress. The core of intelligent information systems is data and models. As a result, data quality and model quality are significant for ensuring the quality of intelligent information systems. However, traditional software testing methods can not adequately evaluate the quality of data and models. In this paper, we propose the data quality evaluation method and the model evaluation method. The experiment results show the two methods are effective.
Feature Difference based Misclassified Sample Detection for CNN Models Deployed in Online Environment

In recent years, Convolutional Neural Network (CNN) has achieved a great success in computer vision. However, at present, for an image classification task, there is no CNN model that can perform 100% accurately due to insufficient or excessive feature learning. Once a CNN model deployed to perform tasks online, misclassified samples might lead the system with the CNN model deployed to enter an unsafe state such as collisions. To assess the performance of such online models, we, in this paper, propose Parallel Signal Routing Paths (PSRP) method to identify misclassified samples by extracting execution paths for each sample and comparing inherent feature differences in terms of CNN nodes between misclassified and well-classified samples, for the ultimate aim of addressing the challenge of test data not having ground-truth labels in online environment where the CNN models are deployed, and give availability results for applying PSRP on 3 public datasets and 3 typical CNN models.
A Compact Cryptosystem Design of Triple-DES

Symmetric encryption algorithms are widely used in the field of information security due to the rapid increasing need to pass information via computer networks and communication technology. All symmetric algorithms are commonly used the same key for encryption and decryption. Triple-Data Encryption algorithm TDEA is a type of symmetric encryption methods. The proposed algorithm consists of triple-keys used through three stages of single round DES design. The proposed implementation in this paper is optimized in terms of chip area and performance speed. The results are concluded in terms of chip area performance and performance per area. The comparison results with similar encryption algorithms are satisfying and very competitive.
Extended Feature Extraction Technique (Edge Direction Matrixes) For Online Arabic Handwriting Recognition

Recognition of Arabic handwriting has attracted the interest of researchers for many years. Until now it has been a challenging research area due to many issues. The feature extraction is an essential stage in the recognition systems of handwriting. The main idea behind this paper is to study EDMs (Edge Direction Matrixes) as a feature extraction technique for Online Arabic Handwriting Recognition. In this study, SUSTOLAH datasets will be used, in which datasets of online Arabic handwriting are presented in Sudan University of Science and Technology. In this paper, satisfactory results have been achieved, where the value of the correlation/regress coefficient for the differences between the variant handwritten characters is found to be -0.01322.
"A CONTRASTIVE APPROACH TO ENGLISH AND ITALIAN PROVERBS ON BODY PARTS (TEACHING ACTIVITIES)"

The richness and frequency of Italian and English proverbs containing terms as head - testa, capo, eye - occhio, forehead - fronte , nose - naso, mouth - bocca, hand - mano, arm - braccio leg/foot piede, etc. all referring to different parts of the body, are well known. The aim of the present paper is to make a detailed contrastive analysis of the proverbs containing these terms as a dominant term in the two languages, based on their semantic classification. Moreover, the second part of the paper makes some useful suggestions for teaching and learning such proverbs.
Geological setting, petrography and mineralogy of laterites from Swarnagadde plateau of Western Ghats, Karnataka

The word "laterite" has been applied to such a diverse range of geomorphic features that it no longer has value as a precise descriptive term (Paton and Williams, 1972) [19] .The present paper gives an account of Geological Setting, Petrography and Mineralogy of Laterites from Swarnagadde Plateau of Western Ghats, Karnataka.The most widespread occurrences of laterites within the Western India have been recognized in a series of different geological-geomorphological settings, and are found in two distinct geomorphological zones.Mineralogical characterization of laterite and parent rocks could help in understanding the process of Lateritisation and bauxitization.While genesis of laterite is subjected to the process of alteration and it mainly decipher by the composition of preexisting rocks and also processes involved in lateralization/bauxitization.Mineralogy of lithomarge zone is predominated by kaolinite that of aluminous laterite zone by gibbsite.But, laterite and ferruginous laterite zones are predominated by both gibbsite and goethite with good amount of heamatite.In the entire lateritic weathering profile quartz occurs ubiquitously as the main resistant relic mineral.The occurrence of anatase and ilmenite is restricted to aluminous laterite zone.
MENULIS KARANGAN NARASI SEBAGAI WADAH MENGEMBANGKAN BERPIKIR KREATIF

Writing skills are indirect communication activities or often called nonverbal communication tools, writing has the same meaning as composing, such as writing narrative essays. Wiriting activities require a process of thinking and imagining to be able to convey what is meant to the reader. The activity of writing narrative essays has become a topic of discussion in Indonesian subjects to be studied and is useful for developing writing skills. Narrative essays whose sources of development are through things that are closely related to every day life encountered in yhe surrounding environment can provide many ideas for developing them into writing. Creative ability is generally understood as creativity. Often, the individual who is considered creative is a genuinely good synthetic thinker who builds connections between things that other people don’t notice spontaneously. A creative attitude is at least as important as creative thinking skills. Creativity is relative. This study uses a qualitative research approach where qualitative research as a scientific method is often used and carried out by a group of researchers in the social sciences, including education sciences. The data were analyzed using the percentage formula. The results showed that the percentage of students writing narrative essays was 94.59 % very well and students had completed classically.
ANALISIS DAN SIMULASI MODUL HUMAN RESOURCE MENGGUNAKAN WEBSITE ODOO PADA PT. XYZ

PT. XYZ is a company that focuses on managing outsourcing services based on labor providers (procurement workforce) and employment charters (service management). Sumer human power or labor is an asset and determining factors in the success of a company if not managed with the best assets can be a factor that interferes with the process of isnis and performance of the company's objectives. Based on the observation, it is known that the data collection process of PT XYZ Group employees always use Microsoft Excel and the management is optimal because it is done manually.In addition, data search is always done through a relatively time-consuming and erisiko stack of documents in terms of data security and inefficient in terms of storage. This research is supported by existing issues to support the HR department of PT. XYZGroup in developing integrated information systems erupa Enterprise Resource Planning (ERP) to manage recruitment modules. By storing all recruitment activities in the Odoo app in real time the HR department can easily handle employee recruitment and manage and track stored data.
ANALISIS SISTEM INFORMASI AKUNTANSI PENGGAJIAN KARYAWAN DALAM UPAYA MENDUKUNG EFEKTIFITAS PENGENDALIAN INTERNAL PERUSAHAAN (Studi Kasus PT Fajar Agung Desa Bengabing)

An abstranct is a brief summary of a resea The payroll and wage accounting system is an important part because it can help companies in processing salary/wages payments, thereby preventing fraudulent actions. A good accounting system will affect the company's internal control. This study aims to analyze how the payroll accounting information system has been implemented by PT. Fajar Agung and how the payroll accounting information system supports internal control at PT. Fajar Agung. This study uses a qualitative approach with a descriptive method, which focuses on the payroll accounting information system at PT. Fajar Agung and the internal control system at PT.Fajar Agung. Data collection techniques in this study are using the observation method, documentation method and interview method.&#x0D;
PARTICIPATION OF UKRAINIAN SCHOOL YOUTH IN THE ACTIVITIES OF THE PLAST ORGANIZATION IN VOLYN (1920–1930)

Кондратюк В
Development of Android-Base Learning Media to Determine Digital Literacy at Public Vocational High School

The development of information and communication technology (ICT) in the era of globalization has had a major influence in all aspects of life, including in the world of education. In the development of information and communication technology, Android-based learning media was developed as a means of learning for students. The limited number of books that can be used by students and in conditions like now where the learning process is carried out online requires learning media that can be used and accessed easily by students. The objectives of this study are: (1) developing android-based learning media, (2) understanding the feasibility of android-based learning media, and (3) evaluating the digital literacy of students by using android-based learning media as a learning resource. The development of this android-based learning media uses a research and development model with stages including identification of potential and problems, data collection, product design, design validation, design revision, small-scale trials, product revisions, large-scale trials, and product revision. The results of this study indicate that the learning media developed was found "Decent" by material experts, media experts and linguists and students stated "Very Decent" to be used as learning media in the subject of Plantation and Herbal Commodity Processing Production. Furthermore, the learning media is applied in learning by using One Shot Case Study. Based on the results obtained, the digital literacy that students have is already in the "Very High" category for the aspect of using. As for the understanding aspect, the indicators of analyzing and creating are in the â€œHighâ€ category and the indicators for reflecting and acting are in the â€œVery Highâ€ category
IMPROVING THE STUDENTS' PRONUNCIATION USING ENGLISH LANGUAGE SPEECH ASSISTANT (ELSA) APPLICATION (A PRE-EXPERIMENTAL RESEARCH AT THE ELEVENTH GRADE STUDENTS OF SMAN 9 MAKASSAR)

This study aims to improve the students pronunciation using English Language Speech Assistant (ELSA) application. this research used pre-experimental research by quantitative method. There were 36 students of SMA Negeri 9 Makassar involved in this research. the test was pronounce word which consist of 40 words for pre-test and post-test.The findings of the study indicated that the English Language Speech Assistant (ELSA) application is significant in improving students' pronunciation. This was proven by the average score pre-test before treatment was 51.94 and the average score after Treatment has given was 63.47, the percentage of the improvement was 22.19%. This means that there is improvement of students' pronunciation.
Stratigraphic Sequence and Structural Evolution of the Sana'a Basin

The stratigraphic sequence of the Sana'a basin ranges in age from Precambrian to Recent with some periods missing. Lithological outcrops of the Sana'a basin ranging in age from Jurassic to Quaternary, while the subsurface data reveals the occurrences of the Precambrian rocks. &#x0D; Current research discusses the sedimentary and structural evolution of the Sana'a basin and indicates that significant tectonic phases occurred during the Jurassic, Cretaceous, Tertiary and Quaternary periods. Structural effects of these tectonic phases include uplift and subsidence for several times. However, the Sana'a basin formed during the Jurassic time under an inherited and reactivated structural control from the old N-S trend. Field studies indicate that the Sana'a basin was subjected to compression stage during the Paleocene time which resulted in the formation of an anticline with N-S axis, and then at the end of the Paleocene the area is affected by extensional faults to form half grabens such as Wadi Dhahr, and Haddah half grabens.&#x0D; During the Tertiary Sana'a area has been affected by huge of volcanic activities especially in the southern part of the Sana' a basin to form the Yemen Plateau, then the major tectonic trends were reactivated by extensional stage which coincided with the NS - NW and ENE - WSW trend. However, most of these faults and fractures are filled by volcanic dykes of different composition. In Quaternary time another volcanic activity has occurred to form a lot of plugs and cones intruded into the old rock units.&#x0D;
Computer Image Recognition Technology Based on Deep Learning Algorithm

In the field of computer vision, deep learning is a very important research topic. It can not only help us analyze images, but also understand images into recognizable language. This paper uses deep learning algorithms for computer image recognition. On the basis of traditional recognition, a brand-new machine vision system is proposed. This paper analyzes the prediction accuracy of several different algorithms in computer image recognition through experimental methods. And through analysis and comparison, the algorithm has been explored, and the recognition method has been further understood. Through experimental data, we found that among the deep learning algorithms, RBM-SVM has the highest prediction accuracy, which is above 93%. Moreover, the recognition of static objects is easier and more accurate than dynamic objects.
INCREASING THE LEVEL OF PROFESSIONAL COMPETENCES OF TEACHERS OF INCLUSIVE RESOURCE CENTERS IN THE CONTINUOUS EDUCATION SYSTEM

The article describes and proposes ways to increase the level of professional competencies of pedagogical workers of inclusive resource centers in the system of continuous education both at the basic and post-basic stages in the absence of professional standards that describe the requirements for competencies, duties, and qualifications. The author came to the conclusion that thanks to the limitless possibilities of self-education, formal and informal education, and practical experience, it is possible to achieve a high level in the formation and development of professional competences of specialists of inclusive resource centers, provided that a well-thoughtout construction of one’s own educational trajectory and the offer of educational service providers for practicing teachers, which take into account the demand for specific professional needs. Emphasis is placed on professional competencies as a dynamic concept characterized and determined by specific time requirements and labor market demands. It is necessary to develop and improve them according to the needs of service users – students with special educational needs (educational difficulties), their parents (persons who replace them), members of teams of psychological and pedagogical support of educational institutions, teachers.
Using second-order optimization algorithms approach for solving the numerical optimization problem with new software technique

In this paper, we will discover the BFGS and compare the result of converging to minimize with the result of L — BFGS. And we discuss how to find an optimal solution of the objective function using the BFGS, and L — BFGS algorithms in Python lets get started.