Reviewerly/exHarmony huggingface dataset:
Hubungan antara critical thinking disposition dengan information literacy di media sosial pada mahasiswa

ABSTRACTThe development of technology and information in this era has made information and science inevitably overflow through social media. This situation is supported by the development of technology such as the existence of computers and internet networks in private, thus makes everyone can easily access information in anywhere and anytime. Nonetheless, information is considered a need for those who relies it in daily life, especially college students. Therefore, it is important to develop ability to find and sort information or scientific reference sources and critical thinking disposition ability to see whether the information is what we really want. The purpose of this study is to examine the relationship between critical thinking disposition and information literacy among students on social media. The sampling technique uses random sampling techniques. The research subjects were 18-24 year old students totaling 269 student. The data was collected using critical thinking disposition scale consisting of 3 aspects which were stated by Ricketts and Rudd namely engagement, cognitive maturity, and innovativeness with 23 items and information literacy scale with 13 items. Test analysis using correlation test and the results show there is a significant relationship of critical thinking disposition and information literacy among students on social media with results (0.00 &lt;0.05).Critical thinking disposition, information literacy.
Tutorial on EM Algorithm

Maximum likelihood estimation (MLE) is a popular method for parameter estimation in both applied probability and statistics but MLE cannot solve the problem of incomplete data or hidden data because it is impossible to maximize likelihood function from hidden data. Expectation maximum (EM) algorithm is a powerful mathematical tool for solving this problem if there is a relationship between hidden data and observed data. Such hinting relationship is specified by a mapping from hidden data to observed data or by a joint probability between hidden data and observed data. In other words, the relationship helps us know hidden data by surveying observed data. The essential ideology of EM is to maximize the expectation of likelihood function over observed data based on the hinting relationship instead of maximizing directly the likelihood function of hidden data. Pioneers in EM algorithm proved its convergence. As a result, EM algorithm produces parameter estimators as well as MLE does. This tutorial aims to provide explanations of EM algorithm in order to help researchers comprehend it. Moreover some improvements of EM algorithm are also proposed in the tutorial such as combination of EM and third-order convergence Newton-Raphson process, combination of EM and gradient descent method, and combination of EM and particle swarm optimization (PSO) algorithm.
Efficient Communication in Cloud using High Performance Computing System

To build the productivity of every errand, we necessitate a framework that should furnish high performance alongside adaptabilities and price effectiveness for client. Cloud computing, since we are for the most part mindful, has turned out to be well known over the previous decade. So as to build up a high performance disseminated framework, we have to use the cloud computing. In this paper, we will initially have a presentation of high performance computing framework. Thusly inspecting them we will investigate inclines in compute and emerald feasible computing to upgrade the routine of a cloud framework. At long last introducing the future degree, we finish up the paper recommending a way to accomplish a emerald high performance cloud framework.
An Archaeological Excursion into Historic Simulation Tools

In any given epoch, simulation tools evolve to deliver what the professions are perceived to want within the constraints of the computational resources and computer languages of the day.From a current perspective, legacy tools tend to run quite quickly on current computers but the evolution of computer languages and operating systems place such tools at risk of being frozen in time when they can no longer be modified and re-compiled.One example is DOE-2.1E.It reflects the concerns of the professions in the mid 1980s.Its mix of solution techniques, the extent of the physics it embodies, and the types of entities that can be represented are also typical of that epoch.However, it relies on language extensions and data types which are no longer supported.The paper reviews the steps needed to syntactically assess, update and test such legacy code.It also explores: a) whether sufficient clues from legacy documents and user community can support explorations of legacy tools, b) steps required to evolve legacy code so that it can be built with modern compilers and deployed across a range of computers and operating systems and c) options for community adoption of legacy tools.These observations are worth reporting because todays tools will be impacted by epochal changes in computer languages, operating systems and the erosion of knowledge of their design and their data structures.
THE USE OF TEACHER’S CODE SWITCHING IN ENGLISH TEACHING

This research is to describe code switching that teacher used in teaching process. The researcher wants to analysis the type and the function of using code switching by teacher because English is not compulsory subject in elementary school and English is still unfamiliar for Indonesian students. The subject was English teacher who teaches in seventh grade at SMPN 1 Parungponteng, Tasikmalaya. Based on the research, the teacher practiced code switching in order to help the students in delivering materials. In the process of code switching, the teacher practiced Bahasa Indonesia, Sundanese and English. The aims of this research were to classify the types of code switching and functions of code switching. It was descriptive qualitative research designs of which instrument are both observation and interview. The findings from the data analysis indicated that the types of code switching were found in three types: inter-sentential switching, intra-sentential switching, tag switching. The functions of code switching used by the teacher were found three functions: message reiteration, message qualification and interjection. Furthermore, the type reason of using code switching by teacher based on interview was repetition used for clarification because the teacher wants students understand what teacher has explained. Keyword: code switching, sociolinguistics, bilingualism, English as a foreign language, EFL teaching.
Utilizing Graph Matching for Mining Design Patterns

Design Patterns are one of the demonstrated reusable answers for the normally experienced design issues. The identification of design pattern is significant action that underpins re-building procedure and gives insights to the designer. The uncovering of these design patterns help understand the object oriented models clearly by analyzing the relations present in the model. Many design pattern identification approaches have been proposed in past years. These methodologies work upon the behavioral, structural and semantic analysis of the software. Many algorithms were used to recognize design patterns in software. In this paper, we will be extracting an attribute relational matrix from the graph using object oriented approach. The aim of the paper is to discover all the design patterns present in the system design.
An Examination on Adequacy of Law in India to Regulate and Monitor Media

The two horrible conditions ahead of time than the organizers worldwide are to diminish the stack at the conventional fills and to reduce the continually developing basic spoiling. This test is proposed to discover probably the execution of the DI diesel motor at various loads when fuelled with mixes of palm methyl esters and diesel. The primers have been pushed on a completely utilized diesel motor without changes. Every one of the appraisals were consistent usa of america and outfitted toward dependable pace. The impact of moving weight develop to be assessed the volume that brake warm temperature ability, mass flow rate, brake one of a kind gas use and fumes gas temperature. Exploratory impacts show that at complete weight conditions, the B-20, B-40and B-60 mixes bring 33.23%, 32.81%, 32.39% and 31.ninety seven% higher brake heat usefulness than sole diesel freely. It wound up confirmed that the brake warmth ability of palm biodiesel is higher than that of diesel, and it is a delayed consequence of the oxygenated atom of biodiesel which acknowledges total ingesting of the biodiesel fuel. In addition the mass development rate of biodiesel is evidently superior to anything that of diesel fuel; it is through method for exact capacity of the calorific estimation of biodiesel is a ton parcels less appeared in one another way as far as diesel gas. At the reason for results obtained from this test utilizing palm biodiesel as a fuel is proposed for the utilized as a piece of a diesel motor with diesel mixes.
Give students ownership of credentials with blockchain technology

When the enrollment services division at Central New Mexico Community College started looking at digital services for diplomas, transcripts, and other credentials, they were guided by the institution's strategic plan. One of the plan's priorities was to shift from college‐owned technology to student‐owned technology, said Feng Hou, chief information officer and chief digital learning officer.
The Foundational View of Knowledge and Ignorance in the Education System

Finding solutions to societal problems turns most difficult if not impossible when the society loses its connection to its foundation. Deficient societal structures often originate in ignored and misunderstood foundations in both the present and the past. Every society, in its transitions, loses the memory of part of its previous knowledge. The loss of historical memory is a serious deficiency that currently permeates every society and prevents a deeper understanding of current behaviors that have their origin in the knowledge of the past. From this perspective, the currently accepted view of the education system lacks a foundational anchor. Lack of awareness of foundational knowledge engenders a malfunctioning education system and a misunderstood psychology of human individual, adversely affecting societal existence. This article focuses on the societal foundation as a composite of knowledge and ignorance, demonstrating its management crucial for societal wellbeing and existence. It attempts to provide an integrated view of the foundational structure of human societies, especially through effective management of knowledge and ignorance.
ANALISIS RAGAM GAYA SELINGKUNG PADA ARTIKEL JURNAL DI INDONESIA

AbstractThe article is a paper that aims to convey ideas about an event or fact in which there are benefits in the field of education. In addition, the purpose of the article is to convince the reader and entertain the reader through the facts presented. Writing articles that go through the process of research and fact-finding new facts called journals. The journal has a different format depending on the characteristics that have been set. This is called the selingkung style. Selingkung style is one of the personality traits and identity of a periodic work. This style grows and develops in a span of time and becomes mature after its stability establishes itself. From this experience and reality it appears that the selingkung style is dynamic. Making journal articles, of course, must pay attention to the style of the journal. There are three components that determine the periodic style of a period, namely the appearance and format, the writing pattern, and the depth and detail of the presentation. Periodic facial stability (size, color, decoration, content, and cover layout) for each publication are the first impressions that people observe. The format and layout of the page, type and size of letters, numbering system, organization or arrangement of script content, type of paper, and physical appearance factors are the benchmarks of accuracy of the editors to maintain the stability of their style.
Experimental Analysis for Semantic based Large Scale Service Composition using Deep Learning

In Service Oriented Architecture (SOA) web services plays important role. Web services are web application components that can be published, found, and used on the Web. Also machine-to-machine communication over a network can be achieved through web services. Cloud computing and distributed computing brings lot of web services into WWW. Web service composition is the process of combing two or more web services to together to satisfy the user requirements. Tremendous increase in the number of services and the complexity in user requirement specification make web service composition as challenging task. The automated service composition is a technique in which Web Service Composition can be done automatically with minimal or no human intervention. In this paper we propose a approach of web service composition methods for large scale environment by considering the QoS Parameters. We have used stacked autoencoders to learn features of web services. Recurrent Neural Network (RNN) leverages uses the learned features to predict the new composition. Experiment results show the efficiency and scalability. Use of deep learning algorithm in web service composition, leads to high success rate and less computational cost.
A Copyright Limitations Treaty Based on the Marrakesh Model: Nightmare or Dream Come True?

With the adoption of the Marrakesh Treaty to Facilitate Access to Published Works for Persons who are Blind, Visually Impaired, or Otherwise Print Disabled (hereinafter “Marrakesh Treaty” or “MT”), in 2013, the international copyright community has shown its willingness to take further steps in the harmonization of limitations and exceptions (“L&Es”) in the field of copyright. However, the Marrakesh Treaty is only the tip of the iceberg. Its preparation and negotiation took place against the background of a much broader debate over the introduction of so-called “ceilings” in international copyright law: binding rules that set a maximum level of permissible protection. While the Marrakesh Treaty had success and became reality, the bigger project of regulating the ceilings of copyright protection in an international instrument is still pending.
Sentiment Analysis for the Detection of Sarcastic and Ironic Tweets

This paper aims at detecting sarcasm and irony tweets based on the application of natural language processing and sentiment analysis. These days twitter has become most widely used social media. Most of the tweets generated affect people’s mental health and thought process. Even though many tweets have a positive effect a few of them are targeted towards people for bullying and hurting them. So it is necessary that we filter the tweets and identify the negative ones so that people may have a positive experience on this platform. In order to do this, this paper provides a methodology that helps in analyzing the sentiments behind the tweets and classify them into positive and negative tweets. Neural Network is used to achieve this. Feature engineering is applied on the dataset and then using Neural Network we try to get the result.
ANALYSIS OF THE INITIAL LEVEL OF INFORMATION-ANALYTICAL COMPETENCE OF STUDENTS OF THE SPECIALTY “COMPUTER SCIENCE”

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THE CONCEPT OF COLLOBORATION IN ORDER TO IMPROVE THE ACADEMIC PERFORMANCE OF STUDENTS

Physical education in a technical university is a compulsory subject in 3 courses of study. During the semester, 2-3 attestations are held and the result of the training is a credit without a differentiated assessment. For various reasons, both objective and subjective, the attendance of students cannot be one hundred percent. This is reflected in the certification assessments and the receipt of credit in general. As a rule, the number of students who received a credit is higher than the level of academic performance during the semester. The article presents the statistics of first-year studentsэ academic performance at the Institute of Cadastre and Environmental Management (ICiP). A conceptual model is proposed in order to improve the performance indicators (certification) during the semester. The possibilities of collaborating available pedagogical resources and students’ resources at the university to achieve this goal are studied.
Detailed geological mapping of the Olon-Ovoot gold-ore cluster (South Mongolia) based on the interpretation of satellite imagery of medium and high spatial resolution.

Detailed geological mapping of Olon-Ovoot gold-ore cluster (South Mongolia) on the basis of interpretation of satellite imagery of medium and high spatial resolution The article presents the results of geological interpretation the territory of the Olon-Ovoot ore cluster by space imagery of medium and high spatial resolution. A Sentinel-2 imagery, chosen for interpretation, was orthorectified and reduced to a common spatial resolution (10m) The iron-hydroxid and ferrous-silicates indices in Sentinel-2 imagery were used to detect the perspective gold-bearing objects. The sub-pixel structure of the imagery Sentinel-2 were analyzed by means of satellite imagery of high spatial resolution by Google Earth for detecting areas concentration of the quartz-carbonate veins. The study of the spectral domain in high-resolution imagery not necessary for detecting lineaments by structural and morphological interpretation. The interpretation of the remote sensing data provide a unique opportunity to substantial specify the geological structure of the territory and change the level of mapping from the scale of 1 : 200 000 to the scale of 1 : 20 000 for the perspective areas. The integration of satellite images of different functional scale provided an tenfold increase for some geological objects (for example dikes). Detailed mapping of the territory allowed to come for geoinformation modeling of geological structural elements and predictive indicators.
Digital Image Watermarking Method Based on Geometric Moment Invariants

In this paper, we present a novel technique for digital watermarking images based on geometric moment invariants.In image watermarking, geometric transformation is the most challenging problem in all kinds of attacks.Embedding the watermark into the normalized image is an idea of this kind of algorithms.However, because the sizes of the normalized original image and the normalized geometrically attacked image are different known, and also the synchronization of the embedding and the extracting are very different to be achieved.In order to solve this problem, we propose an image watermarking based on geometric moment invariants.Watermark is composed of the mean values of eleven geometric invariant moments to translation, scaling and rotation.Watermark detection is as simple as computing the moment invariants of the received image.The experiment results demonstrate the proposed method can obtain better visual effect, meanwhile, it is also robust enough to some image degradation processing.
PSO Optimized Nearest Neighbor Algorithm

Data mining can be considered to be an important aspects of information industry. Data mining has found a wide applicability in almost every field which deals with data. Out of the various techniques employed for data mining, Classification is a very commonly used tool for knowledge discovery. Various alternatives methods are available which can be used to create a classification model, out of which the most common and apprehensible one is KNN. In spite of KNN having a number of shortcomings and limitations in it, these can be overcome by with the help of alterations which can be made to the basic KNN algorithm. Due to its wide applicability, kNN has been the focus of extensive research and as a result, many alternatives have been performed with wide range of success in performance improvement. A major hardship being faced by the data mining applications is the large number of dimensions which render most of the data mining algorithms inefficient. The problem can be solved to some extent by using dimensionality reduction methods like PCA. Further improvements in the efficiency of the classification based mining algorithms can be achieved by using optimization methods. Meta-heuristic algorithms inspired by natural phenomenon like particle swarm optimization can be used very effectively for the purpose.
Lifecycle Optimization of Smart Contract for Different Scenarios in 6G Network

&lt;div&gt;Smart contract-based methods are used to implement the blockchain applications. While smart contracts have separate pre-deployed steps, which are suitable for applications that are deployed once and invoked many times. However, there are smart contracts that are used only one time (the disposable smart contract) or few times. Pre-deployment requires an additional step and additional transactions, which bring burdens (such as longer waiting time and more transaction fees) to users. In this paper, we propose a new Lifecycle model of smart contracts, which allows combining the pre-deployment with function invocations. This facilitates the usage of the disposable smart contract, as users are only required to send one transaction to perform both the pre-deployment and the function invocation. Together with the smart contract separation, it also allows participants to customize their special smart contracts at the request time. At last, we verify the proposed model and it shows the potential to save additional burden and to facilitate the usage of the smart contract.&lt;/div&gt;
Impact of Social Media on Modern Society: An Empirical Research of Haryana

Social media is very useful in present scenario. It is powerful medium to circulate all informations in present time. The whole world becomes a village through social media. The study examines the impact of social media on society in Haryana. This study was conducted in Rohtak district of Haryana. The interview scheduled method was employed. In this study, 240 respondents were selected by purposive sampling. The objectives of the study were to find out the attitude of the people towards reliability of social media; to know the attitude of the people about advantages and disadvantages of social media. On the basis of this study researcher found that the youth belonged to different age, and education group indicate their varied responses on impact of social media on society.
A Spatial Domain for Image Enhancement using Gaussian Filter

Image edification method makes it possible to improve the quality of image for visual perception or to aid projected analysis of the image for feature extraction.The main problem in image processing is attributed to signal representation and modeling, enhancement, restoration and reconstruction from projections.Characterized elements of an image could be a large array of discrete dots or various luminous objects; and plays significant roles in quantizing and sampling for computer graphics.Image model is a considerable factor in choosing appropriate de-noising technique and processing domain for image enhancement.This paper presents the use of Gaussian filter to improve image model with instrumentality of Matrix Laboratory (MATLAB).The scientific demonstration showed that, the visual perception was enhanced, when the image quality was improved.
Developing Chatbot Wrapper for Online Shopping: A Case Study of Using Generic Mobile Messaging System

&lt;p&gt;Developing Chatbot Wrapper for Online Shopping: A Case Study of Using Generic Mobile Messaging System. A conversational UI chatbot using Telegram API was implemented.&lt;/p&gt;