Reviewerly/exHarmony huggingface dataset:
ENGLISH VERBS IN LIFESTYLE ARTICLES IN THEJAKARTA POST: A CORPUS BASED ANALYSIS

Verb is one of the most important word classes in Linguistics construction due to its prominent roleand dynamic nature. Interestingly, the use of verbs in different Linguistics contexts might be various becausethe context can limit or allow certain verbs to occur more frequently than other verbs. It is compelling to studyfurther the use of verbs in a particular Linguistics context. This research thus aims at examining the use ofverbs in lifestyle articles in The Jakarta Post to figure out the frequency of verbs and how it relates to thecharacteristics of lifestyle articles. This study compiled The Jakarta corpus comprising news articles belong tothe category of soft news (lifestyle articles) from October 5th, 2018 until November 3rd, 2018 with total size of29.195 words. This study used qualitative method to classifying verb types used in this study refer to thosecompiled by Scheibman (combining Halliday's verb taxonomy and Dixon's verb types). This study also usedquantitative method to find the frequency of verb types with help of LancsBox tool (for Windows). Based onthe analysis, it is obvious that material verb is the most frequent verb type, followed by verbal and relational.As for the least frequent ones, there are cognition and perception/ relational types. It is plausible that materialtype occupies the most frequent position because it denotes concrete actions that are related to the eventsbeing reported and verbal type occupies the second most frequent position since the nature of news is to deliverinformation; both are vital in constructing news text. Meanwhile, cognition and perception/ relational types areleast frequent because cognition deals with cognitive activity (e.g. thinking, remembering, etc.) and perception/relational shows subjectivity. Both verb types are rather insignificant concepts in news writing. Based on theresult of analysis, it is obvious that there is a firm relation between frequency of verbs used in news text andcharacteristics of the text: Linguistics units that are not in accordance with the function of the text are not reallyneeded and thus infrequently used.
Transformation of education in the conditions of the information society development: institutional and cultural aspects

The article raises the question of changes affecting the modern education system in the context of the extensive sociocultural transformations that have occurred in recent decades. The main emphasis in considering the changing conditions for the implementation of educational activities is associated with the study of the development processes of the information society. The theoretical premise of the study is the idea of changing the functional balance of the educational sphere, associated with the need for its conformity with modern social challenges. In particular, the article analyzes the relationship between education and training in educational activities. The study also poses the problem of dynamic discrepancies between transformation processes in society and in the educational sphere. The essence of this discrepancy is that the achievements of science and culture with a significant delay become the property of educational activity, and the structure of higher educational institutions often does not meet the need for training specialists in a number of innovative areas. On this background, specialized courses and various network resources, focused on filling the “gaps” of the centralized education system, are becoming relevant. At the end of the article, a conclusion is drawn regarding the main trends in the transformation of education in modern society.
empirical evaluation of metrics on aspect-oriented programs

&#x0D; The quality evaluation of software metrics measurement is considered as the primary indicator of imperfection prediction and software maintenance in various empirical studies of software products. However, there is no agreement on which metrics are compelling quality pointers for new software development approaches such as aspect-oriented programming (AOP) techniques. AOP intends to enhance programming quality by providing fundamentally different parts of the systems, for example, pointcuts, advice, and intertype relationships. Hence, it is not evident if quality characteristics for AOP could be extracted from direct expansions of traditional object-oriented programming (OOP) measurements. Then again, investigations of AOP do regularly depend on established static and dynamic metrics measurement; notwithstanding the late research of AOP in empirical studies, few analyses been adopted using the International Organization for Standardization 9126 quality model as useful markers of flaw inclination in this context. This paper examination we have considered different programming quality models given by various authors every once in a while and distinguished that adaptability was deficient in the current model. We have testing 10 projects developed by AOP. We have used many applications to extract the metrics, but none of them could extract all AOP Metrics. It only can measure some of AOP Metrics, not all of them. This study investigates the suitable framework for extract AOP Metrics, for instance, static and dynamic metrics measurement for hybrid application systems (AOP and OOP) or only AOP application.
Blockchain as a Process Control Tool for Healthcare.

The blockchain is one of the most popular information technologies and, at the same time, it was discredited by stories about crashes of multiple cryptocurrency projects. Even though this technology has recently found application in many areas not related to cryptocurrencies, mainly for security purposes, the attitude towards it remains wary. Herein we shall try to demonstrate that blockchain is something going far beyond cryptocurrency and security issues, and may become one of the fundamental information technologies in future healthcare.
The Use of Predict, Organize, Rehearse, Practice, and Evaluate (PORPE) Strategy for Teaching Students’ Reading Comprehension at the Tenth Grade of SMAN 1 Ciomas)”.

DESY NOVIYANI. 142301597. 2018. “The Use of Predict, Organize, Rehearse, Practice, and Evaluate (PORPE) Strategy for Teaching Students’ Reading Comprehension at the Tenth Grade of SMAN 1 Ciomas)”. ABSTRACT This research investigates the use of PORPE strategy in reading comprehension, specifically it is written in the title of this research paper. This research is aimed for finding out the student’s skill in reading comprehension of the tenth grade students’ of SMAN 1 Ciomas; finding out the effect of using PORPE strategy in teaching reading comprehension of the tenth grade of SMAN 1 Ciomas. To know the effect of using PORPE strategy in teaching reading comprehension of the tenth grade of SMAN 1 Ciomas, the writer used quasi experimental with two classes, called experimental class and control class using pre test and post test technique. This research involves 60 students as sample among tenth grade of SMAN 1 Ciomas year 2018/2019 as population, while X IPA 1 as the experimental class and X IPA 2 as the control class are taken as the sample. The result of this research shows that the hypothesis null is rejected, it showed from the significant statistical value 5% = 2,00 and with level significant 1% = 2,66 and the result of to = 4,06. Based on the data calculating of t-test can be conclude that PORPE strategy is effective in teaching reading comprehension at X IPA 1 of SMA Negeri 1 Ciomas. Keywords: Reading Comprehension, PORPE Strategy
LibGuides: Mass Communication Research Methods: Home

This guide is designed to assist mass communications students in research methods classes and any other mass communications major who needs help navigating library resources to conduct research.
Stegnografi Menggunakan Metode Least Significant Bit dan Quick Response Code (QR-Code)

Transmission of information through the internet can involve sensitive personal data that can be tapped, there are many applications and websites that require good security to avoid the safety of theft of documents and confidential information. Stegnography is the art and science of writing stored secret messages that are not separate from the sending and the recipient is asked related to hidden messages, images as one of the many digital media that can be used as objects to insert messages or secret messages using methods Least Significant Bit (LBS) This method determines data by replacing the bits of data that at least means that it is closed with bits of confidential data. From this meode the author will combine with the Quick Response Code (QR), in order to produce encryption that has higher security, the result of embedding the cover image into a stgno image, will be encrypted again to Quick Response Code (QR).
ALGORITMA K-NEAREST NEIGBOR MODEL EUCLIDEAN DISTANCE DALAM KLASIFIKASI KELULUSAN PESERTA BAHASA INDONESIA PENUTUR ASING PADA BALAI BAHASA SUMATERA UTARA

The North Sumatra Language Center also organizes an Indonesian language program for foreign speakers (BIPA) is an Indonesian language learning skills program (speaking, writing, reading, and listening) for foreign speakers. That so far the Balai Bahasa office has had difficulty classifying the graduation of Indonesian Foreign Speakers (BIPA) participants who are eligible to pass and who have not passed. So that complaints occur from participants.To overcome the above problems, it is necessary to classify graduation based on previous BIPA participant data. K-Nearest Neigbor Euclidean Distance model which is a method for classifying / grouping an object based on certain criteria. By using the K-Nearest neigbor algorithm in grouping BIPA participants by using various criteria, it is hoped that foreigners can speak Indonesian more quickly.Keywords: Indonesian Foreign Speakers, K-Nearest Neigbor Algorithm
Distributed Subgraph Matching Privacy Preserving Method for Dynamic Social Network

The growing popularity of cloud platforms store and process large-scale social network data, if we do not pay attention to the method of using a cloud platform, privacy leakage will become a serious problem. In this paper, we propose a distributed k-automorphism algorithm and a distributed subgraph matching method, the distributed k-automorphism algorithm can efficiently protect the privacy of the social networks in the cloud platform by adding noise edges to ensure k-automorphism and the distributed subgraph matching method can quickly obtain temp subgraph matching results. After temp results are joined, we can obtain correct results by recovering and filtering temp results according to the symmetry of the k-automorphism graph and k-automorphism functions in the client. We also propose a modified method that utilizing incremental thought to solve the problem of dynamic subgraph matching. The experiments show that the above methods are effective in dealing with large scale social network graph problem and these methods can effectively solve the problem of privacy leakage of subgraph matching.
A Language Model for Arabic Texts Disambiguation using Deep Learning

Careful learning and understanding of Arabic content are extremely important because of its continuous growing. There are many types of text learning. It includes summarization, translation, and classification. The choice of the Arabic language in this research came from the lack of modern research such as deep learning. Although deep learning of Arabic is not a goal in this research, the main goal was to remove ambiguity in the Arabic language, since Arabic has more words than meaning, according to diacritics and the grammar of the text. The research idea is based on deep text learning, text analysis and removing of the ambiguity. In this paper, we proposed a new method for Arabic text learning by using deep learning methods. we use in this method the learning word vectors as weights by using 2000000-word vectors. The language model and the word analysis were also used to analyze the text and to detect the ambiguous words. Additionally, the learning results from the deep learning were compared with other researches of text from an accuracy perspective.
Blind motion deblurring using multi-scale residual channel attention network

In recent years, multi-scale approach has been applied to image restoration tasks, including super-resolution, deblurring, etc., and has been proved beneficial to both optimization-based methods and learning-based methods to improve the restoration performance. Meanwhile, it is observed that high-frequency information plays an important role in blind motion deblurring. Unlike previous learning-based methods, which simply deepen deblurring network without discriminating the low-frequency contents and the high-frequency details, we propose a novel multi-scale convolutional neural network (CNN) framework with residual channel attention block (RCAB) for blind motion deblurring. RCAB has the residual in residual (RIR) structure, which consists of several residual groups with long skip connections and allows low-frequency information pass through the skip connections conveniently, and can adaptively learn more useful channel-wise features and pay more attention to high-frequency information. Experimental results show that our proposed method can obtain better deblurring images than state-of-the-art learning-based image deblurring methods in terms of both quantitative metrics and visual quality.
Effects of PBL Model and Reading Interest towards Explanatory Text Writing Skill

This Research about effect of PBL learning model, and high and low reading interest towards explanation text writing skill of students class VIII SMP N 1 Sungai Geringging.Type of this research is quantitative research with factorial experimental design.Population amount 178 of 8th grade, sample of 60 students.Data collection, namely the instrument of reading interest questionnaire and the test instrument of explanatory text skills performance.Analyzing and discussing data is done by using descriptively-analysis of experimental research.The results can be concluded.First, students' explanatory text writing skills taught using PBL models are higher than students taught using conventional methods.Second, the students' explanatory text writing skills are high in reading interest, higher than students who have low reading interest.Third, there is no interaction between PBL learning models and conventional learning methods with students' interest in reading (high and low) in influencing the explanatory text writing skills.
Supporting cross-device interactions with gestures between personal and public devices

Seamless interaction across personal and public devices is still problematic. Gestural interaction can be a useful support for this purpose, but how to exploit it in cross-device frameworks is still unclear. We present an elicitation study aiming to contribute in identifying the most intuitive single or combined gestures that people can perform to interact with cross-device applications. This study led us to the definition of a possible gesture vocabulary for the typical interactive tasks in such applications. We then applied the resulting preferred gestures in an example cross-device Web application exploiting it. This application has finally been tested in order to evaluate the gestures' actual usability in cross-device interactions.
TWO-LEVEL STUDY OF OBJECT-ORIENTED PROGRAMMING BY UNIVERSITY STUDENTS

The difficulties of learning the paradigm of object-oriented programming by university students are considered. Two approaches to learn object-oriented programming: Object-First (learning this paradigm at the start of programming learning) and Object-Later (prior learning of structured and procedural programming) are described. The expediency to use the second approach consisting of two levels is proved. The requirements to knowledge and skills being necessary for object-oriented programming are formulated. A review of programming languages used in both levels is presented. The conclusions are made; recommendations to study object-oriented programming are given.
Assessment of Heavy Metals Concentration in Swampy Agricultural Soil of Nasarawa West, Nigeria

Aim: This research was carried out to investigate the concentration of heavy metals in swampy agricultural soil of Nasarawa west, Nigeria.&#x0D; Study Design: To compare the swampy soil heavy metal concentrations with regulatory standard or allowable values by the World Health Organization (WHO) and other National and International standards. &#x0D; Place and Duration of Study: Department of Physics, Nasarawa State University Keffi between January, 2018 and October, 2018.&#x0D; Methodology: Ten soil samples from each of thefive sampling locations (Karu, Keffi, Kokona, Nasarawa, and Toto) were randomly collected. A total of fifty (50) soil sampleswere collected within the period of one week. The collected samples were stored in polyethylene bag and labeled properly and taken to the Center for Energy Research and Development (CERD) at Obafemi Awolowo University Ile- ife Osun State, Nigeria. At CERD, elemental analysis was carried out for the fifty sample using X- ray fluorescent spectrometry analyzer.&#x0D; Results: The range of mean concentration of Zn, As, Cd, Pb, Fe, Ni, and Cu (in KR, KF, KK, NS, and TT locations) are 243.60- 502.80 mg/kg, 7.40- 37.00mg/kg, 260.90- 524.50 mg/kg, 167.80- 336.60 mg/kg, 20222.90- 58170.50 mg/kg, 342.20- 555.10 mg/kg, and 266.60- 515.90 mg/kg respectively. The average mean of all the sample locations are found to be higher than the WHO allowable concentration limits of As (20 mg/kg), Pb (100 mg/kg), Cd (3 mg/kg), Zn (300 mg/kg), Fe (n.a), Ni (50 mg/kg), and Cu (100 mg/kg)respectively. There is high concentration Zn, As, Cd, Pb, Fe, Ni, and Cu in the swampy soil.&#x0D; Conclusion: The results indicates that the swampy agricultural soils of Nasarawa west (Karu, Keffi, Kokona, Nasarawa, and Toto) are contaminated with toxic metals (Zn, As, Cd, Pb, Fe, Ni, and Cu).
Facilitating Clinical Trial Recruitment by Recommending Cost-Efficient Medical Exams.

Clinical trials are key and essential processes for researchers to develop new treatments as well as evaluate their effectiveness and safety, whilst more than half of all clinical trials experience delays, which leads to a considerable amount of cost. In this paper, we present a cost-effective framework to reduce the time and monetary cost in the stage of recruiting and screening eligible clinical trial participants. By leveraging patients' observed conditions and the cost of medical examinations, the proposed framework uses collaborative filtering techniques to predict the utilized cost for the to-do medical examinations and then rank patients and medical examinations. The preliminary experiment results indicate that the framework is promising to reduce the cost spent on medical examinations by three quarters or even more and accelerate the recruitment process in the screening stage.
PEMBUATAN GAME FIGHTING “BRAWLMANIA”

Brawlmania is a fighting game. The game is developed in C# programming language and uses Unity game engine. The game is a 2D game. The background of the game is the Universitas Tarumanagara. This game provides three modes of playing, which are arcade, versus, and practice modes. The arcade mode is where the players fight using 8 characters controlled by AI in a sequence. The player can achieve higher score playing in this mode, which can then be compared to another player's. Ten players with the highest score will be registered on the high score list. The versus mode is where one player fights against another character controlled by either AI or another human player. In the versus mode, they can choose several settings, such as the battle ground, battle rounds, and time limit for each rounds. The practice mode is where the human player can practice using a character fighting against a dummy. There are eight playable characters. Each characters represents a faculty in Universitas Tarumanagara which has their own unique combos. The testing is conducted by 30 resondents. The result shows that the provided gameplay and game features is exciting and interesting for a fighting game. Game Brawlmania adalah sebuah fighting game. Game ini dibuat menggunakan bahasa pemrograman C# dalam game engine Unity. Game memiliki tampilan dua dimensi. Situasi dalam game meminjam latar dari Universitas Tarumanagara. Game ini menyediakan tiga mode permainan yaitu Arcade, Versus, dan Practice. Arcade adalah tempat player bertarung dengan 8 karakter yang dikendalikan AI secara beruntun. Player juga memperoleh score ketika memainkan mode tersebut yang dapat dibandingkan dengan score player lain. Sepuluh player dengan score tertinggi akan terdaftar dalam menu High Score. Versus adalah tempat player bertarung dengan karakter yang dikendalikan oleh AI atau player lain. Di dalam mode Versus, dapat dilakukan pengaturan seperti tempat arena bertanding, banyaknya ronde bertarung, dan batas waktu untuk tiap ronde. Practice adalah tempat player berlatih menggunakan karakter melawan dummy. Ada delapan karakter yang dapat dimainkan. Setiap karakter mewakili fakultas yang ada di Universitas Tarumanagara dan memiliki gerakan kombo dan keunikan sendiri. Pengujian pada game dilakukan oleh 30 responden. Hasil pengujian menunjukkan bahwa gameplay dan fitur yang disediakan sudah cukup menarik untuk sebuah fighting game.
Dinamika Kepribadian Tokoh Utama Dalam Novel Jisatsu Yotei Bi Karya Akiyoshi Rikako

Abstract&#x0D; This study aims to explain death wish in the characterization of the main character. This research uses a descriptive analysis method with the psychology literature approach. The sources of data used were the novel Jisatsu Yotei Bi by Akiyoshi Rikako (2016) and the Indonesian translation of the novel, Scheduled Suicide Day (2017). The object of this research is a quotation in the form of narrative. The results of this study are the main character has a desire to die and it is shown by her always thinking about death and finding out in one website about ways to die that she thinks are comfortable and appropriate.&#x0D; &#x0D; Keywords: Personality Dynamics, Death Wish, Characterization, Psychology Literature.
Path Tracing in Holonomic Drive System with Reduced Overshoot using Rotary Encoders

This paper focuses on path tracing of a holonomic three wheel Omni drive system. Any path (curved, linear) is first sampled, where the coordinates of the path are stored in the local memory, at particular sampling rate which are then retrieved dynamically during the runtime to move the robot on the similar path. The task of moving the drive system from one coordinate to another is done by Deduced reckoning algorithm. This paper also proposes algorithm for minimizing overshoot (deviation from actual path) while moving in a curved trajectory. The proposed algorithm helps in keeping track of the robot very efficiently. The hardware employed to test the proposed algorithm used consists of a three wheeled Omni base, three high torque DC motors, three 6" Omni wheels, highly efficient DC motor drivers, high precision rotary encoders and a microcontroller powered by ARM® Cortex®-M3 processor(ARMv7-M,Thumb-2 instruction set architecture, Nested Vector Interrupt Control (NVIC),Memory Protection Unit (MPU), Advance High Performance Bus-lite (AHB-Lite),Advanced Peripheral Bus (APB) and Private Peripheral Bus, Serial Wire JTAG Debug port ). The robot controlled by the proposed algorithm was tested on wooden field while plying on curved paths.