Reviewerly/exHarmony huggingface dataset:
INTERFERENSI SINTAKSIS BAHASA INDONESIA DALAM KARANGAN BAHASA JERMAN MAHASISWA/I STIBA BUMIGORA MATARAM ANGKATAN 2015

Interference is a symptom of irregularities in language rules. It’s can be happend to someone who is learning a foreign language such as students of  STIBA Bumigora grade 2015 who learn German as the second foreign language. Language Interference consists of phonological, lexical, morphological, and syntactic interference. In this study, the authors limit his research only to syntactic interference. Syntactic interference consists of two things, they are inter-language interference and intra-language interference. The method of  this study is descriptive analysis. The results of the study show us there are several factors that cause errors in syntactic interference on students german essays  STIBA Bumigora Mataram. They are; (1) Errors caused by inter-language interference, it's because of the influence of Indonesian language into the German sentence structure. such as; misplaced words and omission of auxilary verb (to be). (2) Errors caused by intra-language interference, it’s because lack of understanding German grammar rules to german essays. Such as; case errors (nominativ, akkusativ, dativ) and verb conjugation errors.
The Construction of Bachelor&amp;apos;s Degree on TCSOL in OUC

The Open University of China has stared the construction of a new major which is TCSOL since 2017.With specific methodologies such as literature research, data statistics based on the Constructionism, from both diachronic and synchronic angles, we have done an investigation on 60 universities and compared psychological theories to construct TCSOL under the perspective of ODE in a scientific and efficient way.During this research, we have found 3 bottlenecks in the development of the major TCSOL in which we want to transfer the teaching method from face-to-face to distant online education.The Open University of China (The Central Radio and Television University which was formerly called) combined with its own development characteristics and advantages, puts forward "Three-Step Development Strategy on the Construction of TCSOL Bachelor Degree" specialized in ODE, which are: Step 1: To renew teaching concepts of distance education and build the knowledge system of distance education on TCSOL.Step 2: To improve and activate the credit banking system, construct standards for learning outcome recognition, accumulation and transfer across regions, schools and majors, and integrate academic education with non-academic education.Step 3: To explore the diversification mode of TCSOL and link the profession, career, and industry.
Intelligent approach for large-scale data mining

Large-scale data mining has become a very difficult issue using traditional methods because the data complexity is very high. In the proposed approach, an integration of three methods; Optimised Principal Component Analysis (OPCA), Optimised Enhanced Extreme Learning Machine (OEELM), and stratified sampling, called OPCA-EELM2SS, is presented to provide intelligent and enhanced large-scale data mining. OPCA provides a good representation of large-scale data sets by using the Stratified Sample (SS). By using OEELM, the optimal number of Hidden Nodes (HNs) in ELM is exploited to build a single hidden layer feedforward neural network (SLFN). The proposed approach is tested by using nineteen benchmark data sets. The experimental results demonstrate the effectiveness of the proposed approach by performing different experiments for classical PCA and Independent Component Analysis (ICA), which are integrated with the enhanced ELM using different evaluation criteria. For more reliability, the proposed approach is compared with many previous methods.
Social Media based Emergency Response System

News is useful in a situation of disaster for communication, announcement, and request for rescue and so on. Alsoit causes a negative by-product which is spreading rumors. This paper describes how rumors has spread after natural or manmade disasters and emergency situations, and discusses how we can deal with them. We first investigated actual in-stances of rumors after the disaster. And then we attempted to disclose characteristics of that rumors. Based on the investigation we developed a system which detects candidates of rumors from news and then evaluated it. The result of experiment shows the proposed algorithm can and rumors with acceptable accuracy. Sentiment analysis deals with identifying and classifying opinions &sentiments expressed in thesource text. Social media generates vast amount of sentiment rich data in the form of tweets, status updates, blog posts etc. Sentiment analysis of this user generated useful data is very useful in knowing the opinion of the crowd. Twitter sentiment analysis is difficult as compared to general sentiment analysis due to presence of slang words and misspellings. Knowledge based approach and Machine learning approach are the two strategies used for analyzing sentiments from the text. Public and private opinion about a wide variety of subjects are expressed and spread continually through numerous social media. Twitter is one of the social mediaplatforms that is gaining popularity. Twitter offers various organizations a fast and effective way to analyze customers perspectives toward the critical to success in the market place. Developing program for sentiment analysis is an approach to be used to computationally measure customers perceptions. This project uses knowledge base including various patterns for tweets along with the multiple strategies to detect the sentiment expressed in a tweet and if a tweet is genuine or not. Various machine learning and knowledge based approaches are used to compare patterns and apply strategies and NLP for sentiment analysis.
“Men First, Subjects Afterward”

Thoreau's political reputation in the United States dates from the 1960s when the Americans began to see themselves in a political context. The single most famous fact of Thoreau's life had once been perceived as his going off to Walden Pond in order to drive life into a corner; in the sixties that was superseded by Thoreau's night spent in jail in order to drive the government into a corner. This paper will deal with Thoreau’s impact in both the US and Europe in 1968, as well as two decades later when ‘Civil Disobedience’ became the slogan of the velvet revolutions in Eastern Europe.
Checking Chase Termination over Ontologies of Existential Rules with Equality

The chase is a sound and complete algorithm for conjunctive query answering over ontologies of existential rules with equality. To enable its effective use, we can apply acyclicity notions; that is, sufficient conditions that guarantee chase termination. Unfortunately, most of these notions have only been defined for existential rule sets without equality. A proposed solution to circumvent this issue is to treat equality as an ordinary predicate with an explicit axiomatisation. We empirically show that this solution is not efficient in practice and propose an alternative approach. More precisely, we show that, if the chase terminates for any equality axiomatisation of an ontology, then it terminates for the original ontology (which may contain equality). Therefore, one can apply existing acyclicity notions to check chase termination over an axiomatisation of an ontology and then use the original ontology for reasoning. We show that, in practice, doing so results in a more efficient reasoning procedure. Furthermore, we present equality model-faithful acyclicity, a general acyclicity notion that can be directly applied to ontologies with equality.
Research Progress of Automatic Question Answering System Based on Deep Learning

With the rapid development of deep learning, a large number of machine reading comprehension models based on deep learning have emerged.Firstly, the paper points out the shortcomings of traditional search engines and explains the advantages of automatic question answering systems compared with them.Secondly, it summarizes the development process of the deep learning-based machine reading comprehension model, and expounds the overall framework and operation principle of the model, as well as the advantages and application scope of the model.Finally, it points out where the development trend lies, and lays the foundation for follow-up researchers.
How Northern Ireland relaunched contact tracing for covid-19 a month before the rest of the UK

Aided by its relatively small size, Northern Ireland is already tracing over 90% of positive cases within 24 hours—but the system has not escaped scrutiny and criticism, writes <b>Chris Baraniuk</b>
Determination of Initial K-means Centroid in the Process of Clustering Data Evaluation of Teaching Lecturers

Decision making about microteaching for lecturers in ITTP with the low teaching quality is only based on three lowest order from teaching values. Consequently, the decision is imprecise, because there is possibility that the lecturers are not three. To get the precise quantity, an analysis is needed to classify the lecturers based on their teaching values. Clustering is one of analyses that can be solution where the popular clustering algorithm is k-means. In the first step, the initial centroids are needed for k-means where they are often randomly determined. To get them, this paper would utilize some preprocessing, namely Silhouette Density Canopy (SDC), Density Canopy (DC), Silhouette (S), Elbow (E), and Bayesian Information Criterion (BIC). Then, the clustering results by using those preprocessing were compared to obtain the optimal clustering. The comparison showed that the optimal clustering had been given by k-means using Elbow where obtain four clusters and 0.6772 Silhouette index value in dataset used. The other results showed that k-means using Elbow was better than k-means without preprocessing where the odds were 0.75. Interpretation of the optimal clustering is that there are three lecturers with the lower teaching values, namely N16, N25, and N84.
Improved service governance in notary administration system through multi channel access implementation

Notary is an official authorized to make an authentic deed regarding all deeds, agreements and stipulations required by a general rule. Activities carried out at the notary office such as recording client data and file data still use traditional systems that tend to be manual. The problem that occurs is the inefficiency in data processing and providing information to clients. Clients have difficulty getting information related to the progress of documents that are being taken care of at the notary's office. The client must take the time to arrive to the notary's office repeatedly to check the progress of the work of the document file. The purpose of this study is to facilitate clients in obtaining information about the progress of the work in progress, and make it easier for employees to process incoming documents by implementing an administrative system. This system was developed with the waterfall system development method and uses the Multi-Channel Access Technology integrated in the website to simplify the process of delivering information and requesting information from clients and to clients with Telegram and SMS Gateway. Clients will come to the office only when there is a notification from the system via Telegram or SMS notifying that the client must come directly to the notary's office, thus leading to an efficient time and avoiding excessive transportation costs. The overall functional system can function properly based on the results of alpha testing. The results of beta testing conducted by distributing the system feasibility test questionnaire to end users, get a percentage of 96% of users agree the system is feasible to be implemented.
Marketing Intelligence dalam Menumbuhkan Jiwa Entrepreneur pada Generasi Milenial

Indonesia is currently coming into a demographic dividend era occuring due to changes in the age structure of its population because the proportion of productive age is above 2/3 of the total population and around 50.36% of the population of productive age are basically millennial generation. This is an opportunity that must be utilized as well as possible by maximizing the capabilities of the current millennial generations which have open, free, critical, and courageous mindset as the essential things in entrepreneurship. The aim of this research is to find out the effect of marketing intelligence in growing the entrepreneurial spirit in millennial generations by using quantitative approaches and descriptive analysis method. The results show that: 1) marketing intelligence activities performed by millennial generation can help growing the entrepreneurial spirit; and 2) marketing research has the dominant influence of the growing entrepreneurial spirit of the millennial generation in marketing intelligence activities. This marketing intelligence activity does not have to be done in a group, but it can be done independently or alone. https://doi.org/10.26905/jmdk.v8i1.4245
Wafcoin Stands Out From the Tide of the Exchange’s Wide World

At the beginning of 2018, more than 7,400 new “spire of the tower” have emerged, forming a Red Sea battleground of nearly 16000 exchanges in less than a year. As a result, all suffered from the collapse of the market that Bitcoin prices fell, transactions shrinked, and users left the market, and entered the dilemma of “more monks than meat”. With stricter regulation, congested tracks, and shrinking markets, exchanges are changing all the time, and the waves swung through the market throughout the year.On January 27, 2018, the Japanese Exchange,Coincheck, which was established in 2014, declared closing down due to hacking. In February, the decentralized exchange which was established in 2016. Because of internal disputes, the actual controllers ran away. In 2018, the track of exchange was filled with gunpowder, more than 80% of the exchanges closed, running away and investors were pressed to the wall, the choice of a reliable exchange is the top priority at present!Founded in 2018, Wafcoin (WA) is the world's first exchange with a dual license in the Virgin Islands. The platform provides safe, transparent, stable and efficient blockchain token economic transaction services to users around the world,to build the co-governance platform with world's first blockchain token ecological transaction.The Wafcoin platform has a financial-grade distributed cluster architecture, a matching algorithm of more than 2 million levels, bank-level security encryption and ODAT offline acceleration, and isolation technology of multi-signature hot and cold wallet to ensure high reliability, high performance and strong security of the token platform. Faced with many difficulties and challenges, the team of Wafcoin has always adhered to the principle of adhering to the initial mind and customers supreme, and took root in the blockchain industry with enthusiasm and loyalty to support and empower the blockchain industry.
AWARENESS OF VTU CONSORTIUM AND CLOUD BASED ONLINE RESOURCES IN THE VTU ENGINEERING COLLEGE LIBRARIES

Modern academic libraries should well equipped with online resources along with the print resources. Libraries are facing transition period from print to electronic. Younger generation prefer to refer the digital form of resources in quick way. VTU Consortium is a blessing for readers, who are studying/working in VTU affiliated colleges. To meet the industrial requirements, one who updates his/her knowledge up to global and industrial standards. It can be achieved only through referring current journals. VTU consortium has given that chance to library users to access world class eJournals and eBooks in their campuses just by clicking the mouse. This study focuses on usage of electronic resources subscribed through VTU consortium by students and teaching fraternity and how those resources being utilized by users. This paper gives the idea of promoting these resources in college level.
Challenges of Confidentiality and Security in Mobile Cloud Computing and Protective Measures

Mobile Cloud Computing (MCC) has a significant potential to provide scalability, reliability, extra battery life, and additional storage capacity. Due to the flexible infrastructure and simplicity of access, cloud computing has become widespread. Energy consumption and execution time have also considerably enhanced by shifting the execution of resources consuming tasks that bring the benefit to mobile users. However, security and privacy is the major barrier to this growing trend of computing aptitude. Noteworthy efforts have already been made by the academic and research organizations to build secure computing infrastructures but various challenges are stay alive in security procedure of MCC. This manuscript provides a broad analysis of confidentiality and security challenges in mobile cloud computing and also discusses how to overcome these loopholes.
Video Super Resolution and Performance Enhancement of Mixture Mapping Model by Deep Learning De-Noising

Super resolution is method of reconstruction of high resolution image or video from low resolution images or frames. This paper present the mixture mapping method of super resolution by adapting deep convolutional neural network based de-noising method. In de-noising method blind Gaussian noise is removed by feed forward method and batch stabilization is used to stabilize the residual image or frame. The super resolution technique is designed by separating less information and more information patch features by curvature difference method and by mixture mapping technique high resolution patches are reconstructed.  The algorithm is implemented in MATLAB 2018 and quality of image is estimated with design metrics like Peak signal to noise ratio (PSNR), Structural Similarity index method (SSIM), IFC and FSIM. Experimental results shows that by adding deep CNN de-noising, quality of mixture mapping model is improved as compare to previously published methods like Bicubic, ScSR, SRCNN,  SelfExSR, MMPM-G and MMPM-S. Performance parameters of proposed methods for image dataset are as PSNR is 38.20dB, SSIM is 0.9748, FSIM is 0.9824 and IFC is 8.8698.
سُبُلُ تَحْسِیْنِ مُسْتَوَى إِدَارَةِ فِرَقِ العَمَلِ لَدَى قَائِدَاتِ المَدَارِسِ الابْتِدَائِیَّةِ الحُکُوْمِیَّةِ بمدینة الرِّیَاضِ. Ways of improving the level of teamwork-management for leaders of government primary schools in Riyadh city.

هدفت الدراسة الحالية الى الکشف عن سبل تحسين مستوى إدارة فرق العمل، ومعوقات سبل تحسين مستوى إدارة فرق العمل لدى قائدات المدارس الابتدائية الحکومية بمدينة الرياض، والتعرف على الفروق ذات الدلالة الإحصائية بين متوسطات استجابات أفراد عينة الدراسة لسبل تحسين مستوى إدارة فرق العمل وفقا لمتغيرات: الوظيفة، المؤهل العلمي، وعدد سنوات الخدمة، والدورات التدريبية في إدارة فرق العمل، واستخدمت الدراسة المنهج الوصفي، کما استخدمت الاستبانة کأداة لجمع البيانات، واشتملت عينة الدراسة على (65) قائدة، و (250) معلمة من معلمات المدارس الابتدائية الحکومية التابعة لمکتب التربية والتعليم البديعة غرب مدينة الرياض، وخرجت الدراسة بناء على نتائجها بتوصيات من أهمها:  ضرورة تفويض القائدات بعض من صلاحياتهن لأعضاء فرق العمل لتيسير مهامهم وتحقيق أهدافهم.  ضرورة توفير الأدلة المناسبة التي توضح لقائدات المدارس آليات فرق العمل. This study aimed at finding new ways of improving the level of teamwork management, difficulties in finding such ways for leaders of government primary schools in Riyadh city, in addition to discovering the differences of a statistical significance in the average responses of the sample of the study seeking to upgrade the level of teamwork- management according to variables of: position, academic qualification, experience, training courses on teamwork- management. The study used the descriptive method as well as the questionnaire to collect the data. The sample included (65) leaders and (250) teachers of the government primary schools of the department of al Badiah Education Department, West Riyadh.Accordingly, the study has come up with some recommendations, most importantly are the following:  - The necessity of making schools leaders delegate teamwork members some of their authorities to facilitate their tasks and achieve their targets.  - The necessity of providing suitable evidences that make mechanisms of teamwork management clear for school leaders.
Research Guides: Library Quick Start: Citing

Learn how to effectively use library resources, services, tools Links to some helpful tools and resources to help you cite properly
Sistem Informasi Pengelolaan Kegiatan Karang Taruna (SIPEKATAR) Naralatu Agantuka Berbasis Website

Naralatu Agantuka is a youth organization in Tlogo Village, Prambanan District, Klaten Regency, Central Java. Disclosure of information about the activities of the Naralatu Agantuka youth organization is still conducted conventionally. Today, disclosure of information is carried out through leaflets posted on bulletin boards, through Social media and by telephone or by direct conversation. These problems were solved by developt a website for information about the management of the youth organization (SIPEKATAR). The purpose of making this system is to facilitate the members of the youth organization in obtaining information about the activities of the youth organization. Data collection techniques use observation methods, interview methods, and literature research. While the software development approach used for website creation is Rapid Application Development (RAD). For software design, interfaces must be the first design, and then Entity Relationship Diagrams (ERD) and Logical Record Structure (LRS). For check this website use Black Box Testing. Based on the tests, it can be concluded that the Management Information System of Naralatu Agantuka a Youth Organisation (SIPEKATAR) has been operating as supposed with valid result. This website can make it easier for members of the youth organization to obtain information on activities and make it easier for management to manage youth activities.
PERBANDINGAN KEMAMPUAN MEMBACA PERMULAAN ANTARA METODE SUKU KATA DENGAN METODE EJA BERBANTUAN MEDIA KARTU KATA

This study aims to determine differences in student’s initial reading skills by Applying the Syllable Method aided and Spell Method by Word Card Media for Class II at SDN 024 Tarakan. The type of this research is quasi-experimental research. This research was conducted in August 2019. With a population of class II of SDN 024 Tarakan and the sample consisted of two classes, namely class II D as an experimental class and class II C as a control class. The technique in taking the sample used is Random Sampling. The research data were processed with the help of SPSS V.21 for Windows Software. The results showed that there were no differences in the results of the ability to read the beginning by applying the Syllabic Method and Spell Method Assisted Media Media Card Word. The results of the Independent Sample T-teston student’s initial reading ability were obtained tcount= 0.045 at the significance level of 0.05 and df = 53, obtained ttable= 2.01 means tcount ≤ ttable.
Research Guides: Graduate Student Resources & Services: Introduction

This is a guide to resources and services in the UO Libraries especially relevant for graduate students.