Reviewerly/exHarmony huggingface dataset:
The Ways of Testing the Quality of Inter-Lingual Translation For The Language Leaners

Translation is one of the main aspects in understanding and learning second language. In https://www.gala-global.org said: translation is the communication of meaning from one language (the source) to another language (the target).It is often said as unimportant thing in learning second language or considered as secondary skill. Actually, translation must be supposed as the primary skill for the second language. They must know the meanings of the words or the sentences as a whole. The method of research is on the basis of library research and technical activities done by the undergraduate students. The technique of approach is done in two ways: 1. An approach to the lexical items, 2. An Approach to the Oral and Written Translation. The result of this research is that when one translates text from language A into language B, a different translator then turns the B text back into A, and the resulting A text is compared with the original A text . If the test is virtually identical, it is strong evidence that the original translation was of high quality. Inter-lingual translation should be a basic skill for mastering L2. The conclusion is that translation, oral or written translation, must be different from those who are already fluent in L2. It must practically be easier the written translation than the oral translation for both, the beginners and the fluent ones. Keywords: Ways of testing, translation, quality L1, L2.
The Quality of Organizational Agility in Crisis Management at the Football Association in Jordan: Coaches' Perspective

The study aims to pinpoint the effectiveness of organizational agility in crisis management at the Jordan Football Association.To achieve the objectives of the study, the descriptive approach is used, and a questionnaire scale is prepared as a measurement instrument.The study population consists of all the (60) male and female football coaches at the Jordan Football Association.After collecting the data and analyzing them statistically using T-test and ANOVA to find out the gender, the academic degree, and experience differences regarding organizational agility in crisis management, the findings indicate that the issue of applying the concept of organizational agility in crisis management in the Association is of a medium degree.The findings also show that there are no statistically significant differences for the variable of gender, experience, and academic degree exception for the dimension of practice agility, and in favor of the higher academic degree.In light of the aforesaid findings, the study recommends developing organizational and educational structures and regulations in a method that reduces bureaucracy, enhancing the independence of the departments and committees working in the Association to exercise speed and flexibility in decision-making, and improving the capabilities of directors of departments and committees in the Football Association in pinpointing and applying the concept of organizational agility and work practice.
DEVELOPMENT OF A COMPETENCE MODEL FOR UNIVERSITY STAFF: THEORY AND PRACTICE

The article presents the results of a study of theoretical and practical aspects of developing a model of staff competencies at the university. A review of scientific publications on a given topic was carried out; the main aspects of the work on creating a competency model in modern organizations and, in particular, in universities were highlighted. The analysis of the history of the competence-based approach in personnel management and the development of ideas about the concept of "competence" in foreign and domestic science and practice was also carried out. The relevance of modeling the competencies of personnel in higher educational institutions of the Russian Federation is substantiated, taking into account modern challenges and social processes. After that, the practical experience of developing a corporate competency model at Udmurt State University is described, which includes four main stages: applying an expert approach, defining competency model clusters, monitoring the information received and forming a corporate competency model taking into account the categories of university employees, testing the competency model. The last stage was implemented in the process of assessing employees through socio-psychological testing, the use of a case method, as well as interviewing and observation. A description of the evaluation report is provided. The system of work on developing a competency model, described in the article, can be taken as the basis for implementing the policy of human capital management. In this connection, this article may be useful to managers and employees of the personnel departments of educational institutions of higher education.
Analisis Sentimen Terhadap Permendikbud Ristek Nomor 30 Tahun 2021 pada Media Sosia Twitter Menggunakan Metode Lexicon-Based dan Multinomial Naïve Bayes

Regulation of the Minister of Education, Culture, Research, and Technology (Permendikbud Ristek) Number 30 of 2021 was launched as a form of government efforts in the context of preventing and handling sexual violence in universities. However, it turns out that this regulation has generated various reactions from the community, most of them support it while others reject the ratification of this regulation. Technological developments that occur today encourage people to write their opinions on social media, one of which is Twitter. Tweets discussing this rule can be used to gauge public sentiment. However, considering the number of tweets, the classification process will be difficult to do manually, so it requires a computational system that can automatically classify the sentiments of the existing tweets. From these problems, a system is designed to perform sentiment analysis using the lexicon-based method and Multinomial Naïve Bayes. The results of this sentiment measurement can be useful as data analysis material for the Ministry of Education and Culture, Research and Technology in making decisions regarding this rule. The purpose of this research is to measure the value of accuracy, precision, recall, and f-measure in sentiment analysis using lexicon-based and Multinomial Naïve Bayes methods. The measurement results obtained using a dataset of 470 data are the accuracy value of 71.28%, precision of 70.10%, recall of 78%, and f-measure value of 74.29%.
Photogrammetry to maintain heirloom authenticity

Heirlooms are very valuable items because they have a strong historical value. But in reality, many heirlooms are damaged as a result of the negligence of visitors who want to see the heirlooms or because of a disaster. Photogrammetry is a technology that is developing and is often used for today's industrial needs so that it offers an alternative solution for documenting heirlooms in the form of 3D models. This study aims to implement photogrammetry to document heirlooms. With the application of this technology, it is hoped that it can be used as a prevention or solution if heirlooms are damaged because we can make new duplicates of heirlooms based on 3D models that have been made. This research was conducted at Kanoman Palace, Cirebon City. The results of photogrammetry after it is implemented show that all needs are met and can be used as needed. The results of the questionnaire to the Kanoman Palace and people in Cirebon City, showed a figure of 73.7% strongly agree that the photogrammetry results are similar to the original heirlooms and strongly agree that by making 3D models of heirlooms can be used as prevention and solutions if the heirlooms are damaged.
On Discrete Functions and Repetitive Arrangements with Algorithms to Construct All Discrete Functions and a Practical Problem

The main idea of this work is based on the question: how can we control the electric circuits between a number of electric bulbs and a number of electric sources.This generates the correspondences between two discrete sets.The correspondence is based on the notion of discrete function and repetitive arrangements.The normal construction and notions of the work are introduced gradually and are detailed at every stage.Our constant endevour has been to ensure that every sentence in the work has a logical position.Here appears many questions: how to construct all discrete fuctions, which is the total number of these funtions, which is the relation between the number of bulbs and the number of sources, can we constract and control only a partial number of electric circuits (by direct access method) etc.The work answers all these questions by specialised algorithms: the construction algorithm and the decomposition algorithm.The algorithms use the rule from left to right to construct all possille discrete functions and, hence, all electric circuits.The decomposition algorithm supplies an access direct method.So we can control any part of the whole set of circuits.A lot of notions and specific notations are used to develop and illustrate the work.For combinations we have to show the constructon elements.A lot of examples explain this important notion.The work contains a lot of numerical examples and applications.The last section of the work deals with the bijective (and invertible) functions.Specialized notions and notations are used.Numerical examples and geometric designs illustrate the theory.
Design to Build E-learning Application in SMP N 2 Busalangga

The development of technology today is growing so rapidly, almost all aspects of human life all use technology.The need for it-based teaching and learning concepts and mechanisms is increasingly advanced which then became known as E-learning brought the influence of the transformation of conventional education into digital forms, both in content (contens) and systems.E-learning is a learning model that utilizes information and communication technology facilities.With this information technology can act as the provision of information between students and students, learning resources and a means to streamline learning evaluation.SMP Negeri 2 Busalangga as one of the state schools whose teaching and learning activities process still use conventional means.To educate students or students in the face of national exams, teachers or schools always hold tutoring or try out, national pre-exams outside of school hours.A system is needed that can facilitate the teaching and learning process in schools between students and teachers, namely e-learning.The results obtained in the form of e-learning website media that can be used for teaching and learning activities where teachers and students can access the subject matter easily and quickly and can be accessed from anywhere and will be a plus because the system is based on information and technology.
An Economic Analysis of the Factors Influencing Avocado Production, Profitability and Sustainability in Rwanda: A Case Study of Burera, Gicumbi, and Musanze Districts

Agriculture plays a fundamentally important role in the economic growth and development prospects of a vast majority of developing countries including Rwanda where this sector is a main source of livelihood, providing direct employment.The aim of this study was to analyze the factors influencing avocado production, profitability and sustainability in Rwanda.A case study of Burera, Gicumbi, and Musanze Districts.A multistage sampling technique was employed in this study.Data were collected using a structured questionnaire where a sample size of 108 farmers was used.A Cobb Douglas production function and gross margin analysis were used to estimate the profitability of avocado fruits production for smallholder farmers sampled.Hass is the most cultivated avocado tree followed by fuerte, Ettinger, and traditional respectively.The profitability analysis of avocado farming in three districts indicated that fuerte generated more than other varieties followed by Hass and lastly traditional avocado for the tress aged between 3-10 years in study area.While the Net Farm Returns for avocado trees aged 11 years and above showed that Ettinger generated more than other varieties followed by fuerte and lastly Hass avocado for the tress aged between 11 years and above.This indicates that farmer should gain 26108 Rwf from 1 fuerte avocado tree per season and 22838 Rwf for the Hass tree aged between 3-10years.However, farmer should gain 34368Rwf from one fuerte avocado tree per season and 42313Rwf from ettinger aged 11years and above.Comparing the area occupied by one avocado tree and other crops like beans, maize, wheat, Irish potato and others, for example one fuerte and ettinger avocado tree should generate more than 1.2 and 1.7 times for maize respectively.Moreover, they should generate 2.5 and 3 times than beans crops in study area.With these results, it economically easy to say that avocado fruit is more profitable than all other crops grown in study area.The results indicated that gender of respondents, avocado yield, farm-gate, and price, access to extension services, education level, and land size had a positive effect on profit margin.With this result, avocado fruits trees should be promoted in area as they have a successful business.
Classification of Breast Cancer Image Using Data Mining Techniques

Breast cancer is the most common malignancy disease that affects female population and the number of affected people is the second most common leading cause of cancer deaths among all cancer types in the developing countries.Mammography is the most effective method for detection of early breast cancer to increase the survival rate.This paper presented the classification method for mammogram Image using the decision tree techniques.Three measures were used to evaluate performance in terms of accuracy, sensitivity, and privacy.The aim of the study is to determine the best decision tree classifier for medical datasets classification.The study emphasizes five phases; starting with collecting images, pre-processing (image cropping of ROI), features extracting, classification and end with testing and evaluating.Experimental results show that Random Forest has a better performance than ID3, J48.
Performing content-based image retrieval using rotated local binary pattern and multiple descriptors

Images have been viewed as a powerful medium for displaying visual information in numerous applications. Content-based retrieval and querying the indexed collections are required to access visual information. Content image retrieval is an efficient means of retrieving similar images from large repositories which require high speed and accuracy. The extraction of features is imperative for efficient results. Following research work aimed at colors and texture extraction for enhancing image metadata. The proposed technique was evaluated on WANG datasets using MATLAB. WANG consists of one thousand images of flowers, buildings and forest. Each category consists of one hundred images of size 187x126 or 126x187 in JPEG format. The features were extracted using RGB and HSV. Rotated Local Binary Patterns were used and distances between images was obtained using Euclidean algorithm. The results showed high accuracy and precision.
Study and Practice on the Construction of General Academic English Curriculum in NCEPU

General academic English has become a new trend during the transitional period of college English reform in China. This paper introduces its construction practice in North China Electric Power University（Baoding）from the following aspects: need analysis, course objectives, course content, course arrangement, course evaluation and course implementation effect. This paper aims to provide theoretical basis and practical experience for the construction of general academic English curriculum and the reform of College English.
Using Audio Visual Learning Media to Improve Language Capability in Early Children in RA Dinda Hafidzah Islamic School Patumbak, Deli Serdang Regency, Academic Year 2021/2022

This research is a classroom action research. Classroom action research is one of the efforts that can be done by teachers to improve the quality of the roles and responsibilities of teachers in classroom management. Serdang Academic Year 2021/2022. data collection techniques using Observation, Documentation. Based on the results of the research conducted, this shows that the learning outcomes have not reached the success criteria, so it is necessary to carry out the second cycle of learning actions. In cycle II, the researcher made improvements to the delivery method of learning, but still with learning activities through the use of audio-visual media. After the second cycle of action, it is known that the development of children's language skills is developing, namely, a) Being able to listen and retell simple stories reaches 85.71%, b) Being able to imitate sounds or words according to the video seen reaches 100%, c) Able to answering simple questions reached 92.85%, d) Mentioning known words reached 85.71%.
Fast Learning Framework for Denoising of Ultrasound 2D Videos and 3D Images

Ultrasound signals are widespread in medical diagnosis for muscle-skeletal, cardiac, and obstetrical diseases, due to the efficiency and non-invasiveness of the acquisition methodology. However, ultrasound acquisition introduces noise in the signal, which corrupts the reconstructed image and affects further processing steps, e.g., segmentation, quantitative analysis. We define a novel deep learning framework for the real-time denoising of ultrasound signals. Our framework replicates denoising algorithms that exploit spatiotemporal redundancy of the input signals (e.g., 2D videos, 3D images). The HPC implementation allows us to learn dedicated networks for different input signals and anatomical districts. Finally, our approach is general in terms of its building blocks and parameters of the deep learning and high-performance computing frameworks, i.e., we can select different denoising algorithms and deep learning architectures.
Rock Handling System Optimization Study [Poster]

information being presented at an inter-center level. The utilization of advanced information systems for decision support as well as national emergency management systems is discussed in an attempt to optimize their use in an integrated information network.
ADVANCEMENTS OF SEARCH ENGINE OPTIMIZATION TECHENIQUES

Because of the presence of an immense number of sites, the Search Engine has a pivotal occupation of giving the applicable pages to the client, Search Engines, for example, Google, use Page Ranking Algorithm to rank site pages as per the nature of their substance and their presence over the internet. Site improvement is a course of expanding the possibilities of a site page to show up in the main page of the item. Since, at whatever point the buyer looks for data, they give a specific expression or a catchphrase rather than the total web address, then, at that At first, during the 1990s, Archie was the main internet searcher which was utilized for looking through the File Transfer Protocol (FTP) records while the primary text-based web index to be created was Veronica. Search Engine navigates billions of pages which are accessible on the internet, so the web search point, the internet searcher utilize that watchword to find the applicable site pages and show it in a rundown with the most important page at the top. Along these lines, an association could utilize Search Engine Optimization strategies to reach up to its expected customer by showing up at the highest point of the query items. In this paper, we will group and auditing various advancements for website streamlining in light of their significance and their use. Key Words – SEO, page ranking algorithm, Crawler, Search Engine.
Search Rank Fraud and Malware Detection in Mobile Apps

Abstract:The financial success of Android software stores like Google Play, as well as the incentive scheme they provide for popular apps, make them attractive targets for fraud and malicious behavior. Some fraudulent developers deceptively boost the search rank and popularity of their apps while malicious developers use app markets as a launch pad for their malware. In this project, introduce FairPlay, a novel system that discovers and leverages traces left behind by fraudsters, to detect both malware and apps subjected to search rank fraud. FairPlay correlates review activities and uniquely combines detected review relations with linguistic and behavioral signals gleaned from Google Play app data in order to identify suspicious apps. Adversaries can have chances to launch attacks by gathering victim’s information continuously. This project shows that an adversary can successfully infer a victim’s vertex identity and community identity by the knowledge of degrees within a time period. The project also includes a new supervised clustering algorithm to find groups of data (coarse and finer cluster). It directly incorporates the information of sample categories into the fraud clustering process. Keywords: -Android market, search rank fraud, malware detection.
IDENTIFICATION OF THE IMPACT OF THE SIMULATION LEARNING MODEL IN IMPROVING LEARNING ACTIVITIES AND ACHIEVEMENTS IN STRATEGY AND LEARNING PLANNING COURSES

&#x0D; &#x0D; &#x0D; &#x0D; This study aims to improve the activeness and learning achievement of students by applying simulation methods in Strategy and Planning of Studying courses. This research is a class action research. The research setting was regular semester VI students, totaling 50 students who took Strategy and Planning of Studying courses. The research design involves the lecturer as the main researcher and at the same time the perpetrators of the action, the observer lecturer and students as the subject of the students. The way the research is carried out through: 1. planning, 2. implementation of class actions, 3. monitoring and evaluation, 4. analysis and reflection, 5. summarizing results. Data collection uses observation, interviews, documentation and questionnaires: Test the validity of the data using triangulation of methods and sources.Research this action by applying simulation methods in Strategy and Planning of Studying courses. The results of this action research are 1) The application of simulation learning methods can increase student activities. An increase in learning activities from cycle I to cycle II, and from cycle II to cycle III. 2) Application of simulation learning methods can optimize student learning achievement. Student learning achievement has increased from learning achievement cycle I to cycle II, and from cycle II to cycle III.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
OSGEO, PERSISTENT IDENTIFIERS AND THE SHAPE OF THINGS TO COME

Abstract. The Open Source Geospatial Foundation (OSGeo) is an international community, which maintains and develops a growing number of quality-assured open source geospatial software tools. OSGeo supports Open Science and the FAIR (Findable, Accessible, Interoperable, Reusable) principles. The open source software projects of OSGeo are drivers for innovation, but also benefit from technical advances made in other fields to foster FAIR. We report on the of adoption of persistent identifiers (PID) by OSGeo communities, which is accelerating and diversifying. Persistent referencing by PID was introduced to OSGeo for scientific video in 2014. Since 2017 it is being adopted by a growing number of OSGeo software projects to enable scientific citation of software repositories, individuals software releases and involved persons. This enables tangible scientific credit for OSGeo volunteer work and is expected to affect OSGeo workflows, such as the incubation and graduation process. For illustration, examples from the OSGeo projects GRASS GIS and actinia are provided.