Reviewerly/exHarmony huggingface dataset:
News Translation from the Perspective of Functional Equivalence Theory in China Daily

Nowadays, with the trend of world political multi-polarization and the regional economic integration, international communication has become an essential way for the development of each country. News become indispensable to the public to acquire the information happened domestic and abroad everyday. Thus, accurate news translation based on different language backgrounds has become an important channel to get news. Give a broad overview of the current translation in China’s current situation, the research field has been expanded since the 70s of last century. However, relative researches still have a long way to go. Eugene Nida, a contemporary famous American theorist in the field of translation, his functional equivalence theory becomes a continuous improved theory which has great significance of guiding the news translation practice.This article mainly bases on Nida’s functional equivalence theory and combines with the news language features to analyze China's most representative newspaper- China Daily. By analyzing vocabulary, syntax and discourse, we could explore the application of Nida’s functional equivalence theory in guiding the practice of news translation. The study of Nida’s functional equivalence theory not only guides news translation but also instructs other translation practice. Nida’s functional equivalence theory is worthy of being studied.
PKM BAGI GURU MADRASAH ALIYAH MIFTAHUL HUDA JLEPER MIJEN DEMAK DALAM PEMBUATAN MEDIA PEMBELAJARAN INTERAKTIF MELALUI APLIKASI PREZI

Current learning after the pandemic is more towards the Hybrid learning method where this method combines online learning with face-to-face learning. In this learning, interactive learning media is needed by teachers. Prezi application is a software for internet-based presentation (SaaS). In addition to presentations, it can also be used as a tool to explore and share ideas on a virtual canvas. It is superior because this program uses the en:Zooming User Interface (ZUI), which allows Prezi users to zoom in and out of presentation media. The partner problem is that teachers at Madrasah Aliyah Miftahul Huda Mijen Demak still need training and assistance in making interactive multimedia. Therefore, the community service team at the Faculty of Language and Culture, University of 17 Agustustus 1945 Semarang conducted intensive communication with the manager of the MA Madrasah Aliyah Miftahul Huda to find solutions to these problems. There are three methods applied in this service, namely Presentation, Demonstration, and Practice Method. Presentation method is applied in the introduction of the Prezi Application, its benefits, and its application in making interactive learning media, Demonstration Method regarding the operation or use of the application and Practical Method where teachers practice directly making interactive learning media according to their respective subjects. After this service, teachers can position and use learning media as a needed component of a learning process. Learning media has an important role in increasing the effectiveness and efficiency of learning. Teachers are always required to be able to develop and use learning tools available in schools in accordance with current developments.
OMCOKE: A Machine Learning Outlier-based Overlapping Clustering Technique for Multi-Label Data Analysis

Clustering is one of the challenging machine learning techniques due to its unsupervised learning nature. While many clustering algorithms constrain objects to single clusters, K-means overlapping partitioning clustering methods assign objects to multiple clusters by relaxing the constraints and allowing objects to belong to more than one cluster to better fit hidden structures in the data. However, when datasets contain outliers, they can significantly influence the mean distance of the data objects to their respective clusters, which is a drawback. Therefore, most researchers address this problem by simply removing the outliers. This can be problematic especially in applications such as fraud detection or cybersecurity attacks risk analysis. In this study, an alternative solution to this problem is proposed that captures outliers and stores them on-the-fly within a new cluster, instead of discarding. The new algorithm is named Outlier-based Multi-Cluster Overlapping K-Means Extension (OMCOKE). Empirical results on real-life multi-label datasets were derived to compare OMCOKE’s performance with other common overlapping clustering techniques. The results show that OMCOKE produced a better precision rate compared to the considered clustering algorithms. This method can benefit various stakeholders as these outliers could have real-life applications in cybersecurity, fraud detection, and the anti-phishing of websites.
Investigation of Gaussian boson sampling under phase noise of the light source

Gaussian boson sampling is one of the main promising approaches to realizing the quantum computational advantage, which also offers potential applications such as in dense subgraphs problem and quantum chemistry. However, the inevitable noise in experiment may weaken the quantum advantage of Gaussian boson sampling. Photon loss and photon partial indistinguishability are two major sources of noise. Their influence on the complexity of Gaussian boson sampling has been extensively studied in previous work. However, the phase noise of the input light source, a noise which is suitable for tailored for Gaussian boson sampling, has not been studied so far. Here, we investigate the phase noise of the input light source in Gaussian boson sampling through numerical simulation. We use the Monte Carlo method to calculate the output probability distribution under phase noise approximately. It is found that the phase noise of the light source can cause the input state to change from a Gaussian state into a non-Gaussian mixed state. For a given phase noise level, the fidelity of the non-Gaussian mixed state and the noise-free ideal state decreases monotonically as the mean photon number of input increases. Meanwhile, owing to the phase noise the deviation of the output probability distribution gradually increases with the number of detected photons increasing. Furthermore, the phase noise results in the capability of heavy sample generation (HOG), significantly decreasing. Finally, it is found that Gaussian boson sampling with photon loss is more tolerant to phase noise than the lossless case given that the mean photon number of input is the same. Our study is helpful in suppressing the phase noise in large-scale Gaussian boson sampling experiments.
Desain Implementasi Service Oriented Architecture (SOA) pada pembuatan Prototype Sistem Informasi Coaching Pondok Pesantren Alam Sayang Ibu (PAMSI)

The presence of service-oriented computing, through the Service Oriented Architecture (SOA), and the implementation of information technology through website applications provide opportunities for more appropriate system utilization for an organization by providing options for implementing functionalities in a modular manner, according to the needs of the organization following the evolution of service growth, without the need for large Information Technology infrastructure investments. In order to develop an Coaching Information System for Pondok Pesantren Alam Sayang Ibu (PAMSI) with a service functionality basis, it is necessary to define a prototype model of Coaching Information System with an SOA approach through understanding the process of coaching activities and must be relevant to the needs of each party involved. This study aims to create a SOA implementation design that can be used as a guideline to be used as the main foundation in the creation of a PAMSI Coaching Information System and can be used as a reference for the development of other Information Systems at PAMSI.
CONTRIBUTING FACTORS IN DEVELOPMENT OF SPEAKING SKILL

Speaking is the process of building and sharing meaning through the use of verbal and non-verbal symbols, in a variety of contexts. Low motivation in speaking will be formidable reality for the teacher. The students are often reluctant to speak because they are shy and are not predisposed to express themselves in front of other people, especially when they are being asked to give personal information or opinions. The type of this research is ethnography research (realist ethnography), but the research is not stop in Ethnography but it is followed with Research and Development (R&amp;D). Both of them are included in Qualitative Research. Language teachers always develop speaking skills by using different techniques and strategies, the data indicated that the selected teachers were using the communicative approach, direct method, and audio-lingual method and others. The techniques mostly used were discussion, role play, oral report, questions and answers, conversation and debate. The way teachers assess students’ performance was effective.
Determinants For The Use Of A Gpn Debit Card (National Payment Gateway) By Students FEBI UIN SYAHADA Padangsidimpuan

The discussion in this study relates to service features, security systems and students' knowledge of the use of debit cards with GPN. In this regard, the approach taken is theories related to the field. The type of research used is field research (field research) which is quantitative in nature. The samples used in this study were 74 respondents. The sampling technique used was a purposive sample, the data collection techniques used were interviews, documentation, and questionnaires. Data analysis used was validity test, reliability test, descriptive statistical analysis, normality test, multicollinearity test, heteroscedasticity test, coefficient of determination test (R2), multiple linear regression analysis test, t test (Partial), F test (Simultaneous) using SPSS tools 23. The results of this study This shows that service features, security and knowledge are factors that influence the use of GPN debit cards by students at the Faculty of Islamic Economics and Business UIN SYAHADA Padangsidimpuan.
IMPACT OF ARTIFICIAL INTELLIGENCE ON COMMERCIAL BANK'S ATM

Artificial Intelligence (AI) is a rapidly growing area that has been getting the greatest attention in the business including the banking sector. AI has huge applications in the area of commerce, education, transportation, banking as well as daily life. AI in the banking industry relies on faster inexpensive, more accurate, and efficient work at the banking sector. By using AI in commercial banks, the banker gets more benefits and audience response positive as well as strong competition in work efficiency. AI provides renovating ideas to promote the banking sector through Automated Teller Machines (ATM). In this research paper, the impact of AI in the commercial bank ATM sector has been discussed with primary data collected from five banks and 30 ATMs from the perspective of clients. It was found that AI on ATMs has a positive impact as it gives excellent client service, high work efficiency, and security. Key words: Artificial Intelligence, ATM, Commercial Banks, efficiency, security
Y Web-Based Academic Information System Design at Praktisi Polytechnic

This study aims to design an academic information system. The method used in this study uses observation on the object of research and answers. It conducts an assessment of the literature while for the description of the information system using an object-oriented depiction method with UML tools. The waterfall is used as a software development method. The PHP programming language is a programming language and database Mysql. Based tests on academic information systems at practitioner polytechnics can be used properly and effectively, making it easier for users to carry out academic administrative processing.
Distance Learning and Leadership in Brazilian Physiotherapy Education Program during COVID-19 Pandemic

The time is to identify opportunities from this online educational transformation in physiotherapy programs that can be continued in the post-COVID-19 era
Flexible Convolver for Convolutional Neural Networks Deployment onto Hardware-Oriented Applications

This paper introduces a flexible convolver capable of adapting to the different convolution layer configurations of state-of-the-art Convolution Neural Networks (CNNs). The use of two proposed programmable components achieves this adaptability. A Programmable Line Buffer (PLB) based on Programmable Shift Registers (PSRs) allows the generation of the required convolution masks required for each processed CNN layer. The convolution layer computing is performed through a proposed programmable systolic array configured according to the target device resources. In order to maximize the device resource usage and to achieve a shortened processing time, the filter, data, and loop parallelisms are leveraged. These characteristics allow the described architecture to be scalable and implemented on any FPGA device targeting different applications. The convolver description was written in VHDL using the Intel Cyclone V 5CSXFC6D6F31C6N device as a reference. The experimental results show that the proposed computing method allows the processing of any CNN without requiring special adaptation for a specific application since the standard convolution algorithm is used. The proposed flexible convolver achieves competitive performance compared with those reported in related works.
Developing Students’ Vocabulary Ability of the Second Year of SMPN 2 Enrekang through Piling Up Sentences

The objective of the research is to find out whether or not Piling up Sentences can improve the students’ vocabulary ability of the second year of SMP 2 Enrekang. This research employed pre-experimental method which one class was given pre-test, treatment and post-test. The population of this research was the second grade students of SMP 2 Enrekang. The total sample consisted of 30 students and it is used purpose sampling technique. The instrument was noun test in order to measure the students’ vocabulary ability in learning process by using piling up sentences technique. The finding of the data indicated that by using piling up sentences technique in teaching vocabulary was affective to improve the students’ vocabulary ability at SMPN 2 Enrekang. In other words, the finding showed that by using piling up sentences technique the researcher found that the students understanding on noun was increased significantly. Based on the result of the data showed that there was a significant difference between the students’ mean scores in pot-test was higher than the pre-test (8,8&gt;6,5). While the T-test value was higher than T-table value (9,7&gt;2.045). Based on the findings and discussion of the research, the researcher concluded that Piling Up sentences technique is effective in improving the students’ vocabulary ability at second grade students of SMP 2 Enrekang. Based on the finding of the research it could be concluded that the use of Piling Up technique in teaching vocabulary can improve the students’ vocabulary ability at SMP 2 Enrekang. It can be concluded that the use of piling up sentences is an effective activity to make the students active in learning vocabulary ability particularly noun at SMPN 2 Enrekang.
AN ANALYSIS OF STUDENT’S PROBLEM IN WRITING ERROR IN THE USE OF SIMPLE PAST ON RECOUNT TEXT AT 10th GRADE MA DARUL ULUM TLASIH

Abstract&#x0D; This study analyzes simple past tense errors in MA Darul Ulum Tlasih by analyzing the types of errors in the use of simple past tense in recount text. This research is expected to help in developing English learning to process and provide information in order to increase knowledge to understand the mistakes made in the use of the simple past tense. This study uses an approach that is carried out in several stages: preparation is carried out by providing an explanation of the simple past tense. The data were taken from the 10th grade students of MA Darul Ulum Tlasih by providing a working instrument to make a recount text of a personal experience. The author uses several data analysis techniques, namely: error, classification, description, and correction. The results of this show students' errors in misinformation and misodering.&#x0D; Keywords: Simple past tense, eror analysis, omission, misinformation, misodering, and recount text.
Analisis Karakteristik Keberadaan Perbankan di Nusa Tenggara Barat Terhadap Kondisi Perekonomian Daerah Menggunakan K-Means Clustering

In certain areas, there are still many people who have to travel long distances to access some banks. Difficult mobility is considered to hinder business activities. The West Nusa Tenggara (NTB) Province is one of the favorite travel destinations for some foreigner tourists as well as domestic tourists because of its natural beauty and cultural diversity. the existence of some banks in the NTB Province , is important to facilitate the circulation of money. For this reason, this study aims to analyze the existence of some banks in the NTB Province and the condition of mobility in accessing themto regional economic conditions by applying K-Means clustering. Our results show that there are two clusters, , where the cluster 2 is an urban area and a tourist area. It has charactersitic has a GDP greater than cluster 1.
PENGARUH FAKTOR INTERNAL TERHADAP KEMAHIRAN BERBAHASA INDONESIA PESERTA DIDIK PADA JENJANG SEKOLAH MENENGAH DI DKI JAKARTA (The Influence of Internal Factors towards Indonesian Language Proficiency of Students at the High School in DKI Jakarta)

Indonesian language proficiency is a person's ability to use Indonesian orally and in writing, as measured by a test instrument called Uji Kemahiran Berbahasa Indonesia (UKBI) Adaptif Merdeka.UKBI Adaptif Merdeka is a user-friendly application tested en masse to 160,450 junior and senior high school students through the Giat UKBI Adaptif Merdeka program in 2021.UKBI scores and predicates achieved by students indicate their proficiency in Indonesian.This study aims to examine the influence of internal factors on the scores and predicates of Indonesian language proficiency for junior and senior high school students participating in Giat UKBI Adaptif Merdeka in DKI Jakarta.The method used is the quantitative method.The instruments used are UKBI Adaptif Merdeka and a questionnaire about internal factors that affect language proficiency.The results showed that UKBI scores and predicates obtained by students varied.1.3% of participants obtained scores and predicates above the standard, 46.3% according to the standard, and the rest below the standard.The results also show that internal factors, namely interest, motivation, and talent, simultaneously affect the score/ predicate of Indonesian language proficiency of students in DKI Jakarta.
Introduction to Rusho’s Transform Lakshmann and Smith Model: A Machine Learning Approach to Earthquake Detection

Machine learning now become one of the demandable field in engineering and life sciences , IT is now the cutting edge of technological development , The threat of climate change makes it crucial to improve our understanding of the climate system . This paper has been inspired by the book : Machine Learning and Data Mining Approaches to climate science . From this book I am inspired to find a new branch of machine learning for the earthquake detection and intro climate +physics or Climato -physics Modelling . Using Artificial intelligence is one of the remarkable steps to find the optimal solution of Earthquake detection . Approximately 20,000 people are killed every year by earthquakes. There are over 500 active faults in California and most of its residents live within 30 miles of an active fault. So if we can predict the earth-quake before it occurred , we can make active step and save millions of life . It is similar to weather detection and thunderstorms detection , same algorithm will be implemented in thunderstorm and weather detection , but we will use both as well as machine learning model and artificial intelligence model ,Rats, weasels, snakes, and centipedes reportedly left their homes and headed for safety several days before a destructive earthquake. Anecdotal evidence abounds of animals, fish, birds, reptiles, and insects exhibiting strange behavior anywhere from weeks to seconds before an earthquake. So we will first understand why and how earthquake happen and biological mechanism of understanding fish , birds , reptiles and insects hearing . Then we will use the datasets of global earthquake pattern . And finally we will put all in one and relate the algorithm with storm-detection.
Development of Personal Resources of Pedagogical Students Using the Design Thinking Method

The aim of the article is to examine the issue of personal resources of young adults and effective methods of developing these resources in educational conditions, i.a. using the design thinking method. Currently, personal resources are discussed in the context of health psychology as factors conducive to the adaptation of an individual to new conditions, especially in stressful situations, as well as preventing professional burnout. The specific issues are particularly important in relation to the education of students who are preparing to work in teaching professions, and should also be of interest to university teachers. The results of contemporary research show that the personal resources of young adults in teaching and helping professions are low. Researchers indicate the need to create programs that foster the strengthening and development of personal resources, which are key factors in the professional success of young adults. An important solution in this direction is the design thinking method, which is one of the most interesting contemporary solutions in teaching and learning. The article describes how personal resources, such as curiosity, knowledge, empathy and social support, can be developed using the design thinking method.
Robotics: Techniques, Functions, Social Role Part 1. Technical Foundations of Intelligence and Security of Robots

In order to assess the impact of robots on society, it is necessary to carefully analyze the state-of-the-art, and in particular the fundamental issues that have yet to be resolved, however having significant impact on the potential societal changes resulting from the development of robotics. The aforementioned impact depends on the level of intelligence of robots, so this aspect dominates in the presented analysis. The presentation has been divided into three parts: 1) analysis of technical factors affecting the intelligence and security of robots, 2) analysis of current capabilities of robots, 3) analysis of diverse predictions of how robotics will evolve, and thus the attitudes towards the influence of the result of this development on society. This part of the paper is devoted to the first of the above mentioned three issues.