Reviewerly/exHarmony huggingface dataset:
Designing Parallel Operation for High-Performance Cloud Computing Using Partition Algorithm

Cloud computing comes up with the efficiency of storing an enormous amount of data to retrieve and to maintain. It has a huge amount of advantages for platforms such as Amazon, Google, and Microsoft. Some best advantages are maintaining quality, cost reduction, preventing the loss, extendibility. With all these, the performance of cloud computing assumes a significant job in every stage of the cloud. The expectation of platform viewers and owners need the performance of the cloud should be skyscraping. But achieving the high performance of cloud computing is a big deal in reality. The performance of cloud computing can analyze based on the environment which is used. The high-performance cloud computing (HPCC) is defined as a sort of distributed computing arrangement that fuses principles, systems, and components from distributed computing. The total arrangement may incorporate capacity, equipment, and application programming, which will all be conveyed through the cloud on an on interest premise. So, in this paper, we had briefly explained cloud models and services. The main discussion that is carried out here is the difference between CC and HPCC. The partition algorithm is used for designing parallel operation for HPCC to lift in selection at the expense of supply and to reduce the performance time of taking input operations (or) conditions.
MACHINE TO MACHINE LEARNING IN AD-HOC IOT SYSTEM USINGKERNEL GRANULAR SUPPORT FRAMEWORK

In current scenario, rapid growing technologies and software development application are playingvital role in machine learning. This paper presents a novel kernel support framework method for measuring machineto machine learning in Ad-hoc in IoT system. The interconnecting different devices with internet are called as IoT(Internet of Things). The machine to machine learning is a centralized compute and storage model which isconnected with network. This paper emphasis the centralized IoT eco system model with decentralized behaviour isused to measure the performance. The machine to machine model to learn the data from registered IoT end pointdevices. This anonymous detection model and Kernel Granular support framework is used to analyse the pattern anddata stream. Here the datasets are divided into granules and reduced the space using kernels. Data distribution can beimproved using support vector calculation. Spark modelling is used to demonstrate Kernel Granular method inMachine to Machine learning. Machine learning as a service is applied in Ad-hoc IoT systems for effectiveclassification.
Library Guides: Darn It Professor...!: Mr. Green's Staging

Using the Escape Room Format for Information Literacy -- A Hands On Workshop Presented at The Collective, Spring 2019 Setting the scene and creating an immersive learning experience for your participants
RELATIONSHIP BETWEEN TEACHERS ACADEMIC QUALIFICATIONS AND TEACHING METHODS IN EARLY CHILDHOOD EDUCATION

The purpose of this study was to find out whether there was a relationship between academic qualifications of early childhood education teachers and the teaching methods that they usually use in school. The research method that was used was the correlational quantitative method. Data collection techniques were carried out via questionnaire, one related to teacher academic qualifications and another concerning teaching methods that they used when teaching in class. The population in this study was the Early Childhood Education (ECE) institution in the Kemayoran District, Central Jakarta. The sampling technique that was used was the Saturation Sampling technique consisting of 213 teachers from 44 Early Childhood Education (ECE) institutions in the Kemayoran District, Central Jakarta, Indonesia. The results of the analysis in which SPSS V.22 was used yielded a correlation coefficient of 0.572, while the results of the test obtained tcount of 10.126, while the ttable of 1.645. So that tcount 10.126> 1.645 ttable. From the results of this study it can be concluded that there was a positive and significant relationship between the academic qualifications of early childhood education teachers and the implementation of teaching methods in early childhood education institutions in the Kemayoran District, Central Jakarta, Indonesia.
PERFORMANCE ENHANCEMENT OF CREDIT CARD FRAUD DETECTIONUSING ENHANCED RANDOM TREE-BASED RANDOM FORESTALGORITHM

Credit card fraud transactions take place regularly and then result in large financial losses. The number of onlineactivities has increased in high quantities, and online credit card transactions contain an extensive share of these transactions.Therefore, banks and commercial organizations allow credit card fraud detection purposes, much importance, and interest.Deceitful transactions can happen in different ways and can be placed into separate sections. Criminals can apply somemethods such as Trojan or Phishing, to borrow data from different people's credit cards. Accordingly, an efficient frauddetection system is important because it can recognize fraud in time during a criminal employs a borrowed card to utilize.Generally, credit card fraud movements can appear in both online and offline. But in today's society, online fraud transactionactivities are increasing day by day. So in order to find online fraud transactions, various methods have been used in theexisting system. This paper focuses on four main fraud occasions in real-world operations. Each fraud is addressed using aseries of Text mining models, and the best method is selected via an evaluation. Further, this paper proposes an enhancedrandom tree-based random forest algorithm (ERFA) for finding the fraudulent transactions and the accuracy of thosetransactions. This algorithm is based on a supervised learning algorithm where it uses decision trees for classification of thedataset.
The Dawn of Quantum Information

Henry and Eve have finally tested their quantum computer (QC) with resounding success! It may enable much faster and better modelling of complex pharmaceutical designs, long-term weather forecasts or brain process simulations than classical computers. A 1,000-qubit QC can process in a single step 2<sup>1000</sup> possible superposition states: its speedup is exponential in the number of qubits. Yet this wondrous promise requires overcoming the enormous hurdle of decoherence, which is why progress towards a large-scale QC has been painstakingly slow. To their dismay, their QC is “expropriated for the quantum revolution” in order to share quantum information among all mankind and thus impose a collective entangled state of mind. They set out to foil this totalitarian plan and restore individuality by decohering the quantum information channel. The appendix to this chapter provide a flavor of QC capabilities through a quantum algorithm that can solve problems exponentially faster than classical computers.
Student involvement in sound and music computing research: Current practices at KTH and KMH

To engage students in and beyond course activities has been a working practice both at KTH Sound and Music Computing group and at KMH Royal College of Music since many years. This paper collects ex ...
Research Guides: Open Access: Finding Open Access Materials

A guide to learn about open access scholarship and the Open Access movement Resources and databases for finding OA materials
Library Guides: Iowa State University Library Guide for Prospective Students: Study Breaks for You

Welcome Prospective Students! Check out the technology, spaces, services and resources YOU can access as an ISU Student!
Research Guides: Library Services During Remote Operations Guide: Tutorials

A comprehensive guide to SVC Libraries' services during remote operations.. Tutorials created by librarians
Library Guides: Resumes and Interviewing: Quick tips for interviewing

A guide to the most recent materials to help you with resume writing and interviewing well. A list of tips for interviewing well.
The Challenges of adopting DevOps

In traditional Software Development Life Cycle, medium and large organizations tend to divide the activities of Operations and Development into separate departments. These groups often have a troub ...
THE EFFECTIVENESS OF INSTAGRAM MEDIA FOR TEACHING VOCABULARY AT THE SEVENTH GRADE OF SMP PGRI 1 BUAYAN

The aim of this study is to find out whether using instagram media  in  teaching vocabulary at   the   seventh   grade   students   of   SMP   PGRI 1 Buayan   in   the academic   year   of 2018/2019”is  effective  or  not.  In  order  to  achieve  the aim of  this  study,  the researcher uses pre-test  post-test  quasi  experimental  design. The  population  of  this  study are  the seventh    grade    students    of    SMP    PGRI  1  Buayan    in    the  academic    year    of 2018/2019consists of   151   students.   By employing purposive sampling technique,   the sample  of  this study is class VII A as experimental group consists of 30 students and class VII Bas control group consists of 30 students. In collecting the data, the researcher uses multiple choice test as the instrument. In collecting the data, the researcher gave pre-test and post-test gave to the both of the groups. Meanwhile, the researcher gave treatment to   the experimental  group  and  gave explanation  of  the material  to  the  control group. The result shows that the mean score of experimental group is 76.93 which belongs to good category, and the mean score of control group is 67.80 which belongs to  good  category. It shows that the z-value 1.96.  It means that z- value is higher than z-table that is 3.807> 1.96.  Therefore, it  can  be  concluded  that  the  use  of instagram media  in  teaching vocabulary  at  the seventh  grade  students  of  SMP  PGRI 1 Buayan  in  the academic  year  of  2018/2019 is effective. Keywords : I nstagram media, teaching vocabulary, SMP students
Application Security Review Criteria for DevSecOps Processes

For several years a trend in agile software development methodologies that connect the development with operations is transforming business activities in the industry. This methodology, that breaks ...
Los elementos del periodismo en la educación : diseño de una estrategia para las clases de inglés en la Licenciatura en Lenguas Modernas

This is a qualitative study that had the purpose of designing a strategy that uses the characteristics of digital journalism and journalistic quality standards in the practice of the reading skill in Intermediate English II in the B. A. in Modern Languages with Emphasis in English and French. To achieve this, lesson plans and didactic materials were designed and implemented. With the same theoretical foundation, the plans and materials allow the researcher to work on levels of understanding and reading strategies. Both resources (lesson plans and teaching material) were built based on the adaptation made to the methodological proposal presented by Jolly and Bolitho.The conclusions of this research were organized in two categories. The first category was the integration of the journalistic tools in the English class. The second category was the perceptions that teachers and students had about the strategy proposed in this research. Regarding the first aspect, it was possible to conclude that quality standards of journalism and characteristics of digital journalism were perceived in class as tools for the analysis of digital pieces of news. Furthermore, it was also found that it is feasible to combine the English classes with other disciplines that can influence the way in which teachers perceive and teach an English class. In relation to the second category, the strategy was seen as a dynamic, flexible, novel proposal that promotes critical thinking providing students with knowledge in their daily life and as future teachers in the search or development of resources for their classes.
LibGuides: First Year Students: Welcome

Welcome to your first year at GMIT, we are looking forward to seeing you in the library. Here is some useful library-related information to help you succeed at GMIT!
An Automatic Summary Creating System Based On Natural Language Processing

Automatic summarization is the process of shortening a document by a computer program in order to form summary which represent reasonable and expressive the most essential information from the original document. So document summarization is a rising technique for understanding the main purpose of any kind of document. Here we propose a text raking approach for document summarization. Text Rank is an algorithm encouraged by Google’s PageRank algorithm that helps identity key sentences from a paragraph. The idea behind this algorithm is that the sentences that is equivalent to most other sentences in the paragraph is probably the most essential sentence from the paragraph. All these sentences are then used to generate summary.The aim of this project is to generate summary of input document and understand overall concept of the document and represent whole concept in the form of summary.
Effects of OER-Based Multimedia Education on Elementary Students’ English Proficiency

This study analyzes the effects of multimedia-based instruction using Open Educational Resources (OER), when taking into account various learning styles and English proficiency levels of elementary school students. A total of 94 students participated in the study, with 47 in the experimental group and 47 in the control group. The experimental group received instruction using edited audio and video clips taken from OER, as well as using AI-based materials. In contrast, the control group completed class content as normal, relying on only the regular textbook and CD. The statistical analysis revealed no significant difference of post-test score between the control and experimental groups. While the results did not successfully demonstrate the effects of OER-based multimedia education, it should not be concluded that OER is not effective in the teaching of English. It was found from the in-depth interview with the participating teacher and students that the new teaching method was appealing to the students, and encouraged active participation by the students. More research is needed in this area and it is important to consider in future studies the issues of teacher preparation, software usage, and test item development to determine if there is any positive effect of OER-based multimedia education.
A STUDY ON MALAYSIAN ENGLISH LANGUAGE TEACHERS’ READING HABITS: TYPES OF MATERIALS READ AND RATE OF EXTENSIVE READING

This study is carried out with the purpose of gaining more in-depth information in regard to the reading habits of 210 English Language (EL) teachers in the district of Klang, Selangor. A convenient sampling method is used to choose the respondents while data are gathered with a survey questionnaire. The first aim of this study is to study the types of materials read by ESL teachers. Secondly, it aims to identify the rate of extensive reading among these teachers. The results show that ESL teachers read mostly light reading materials online and shun heavy materials. The researcher also discovered that the rates of extensive reading among ESL teachers are average to high. Therefore, the Ministry of Education could implement nationwide reading programs and teachers should take the initiative to read more.
Developing Professional Competence Of Future Foreign Language Teachers In The Field Of Using Information And Communication Technologies

The article is devoted to the formation of the competence of a foreign language teacher in the use of information and communication technologies. It substantiates the relevance of this problem, proposes definitions of the concepts “ICT competency” and “ICT competency” of a foreign language teacher, identifies the content of the training and determines the structure of the ICT competency of the teacher and develops criteria for assessing the level of its formation. The assessment of high, medium, low levels of ICT competence of the teacher.
Foliage generation tool based on a Lindenmeyer system : A study on branch density of trees in video games

Context. Procedurally generated content is a common way for companiesto save time and resources when creating modern video games.However, with generation of content there is often many variables co ...
LibGuides: OverDrive: Returning/Renewing

This guide will take a look at OverDrive and give you a general understanding on how it works, what it is, and how you can use it.
Job containerization and orchestration to reduce TTC and operational costs

Predictive analytics has become a common practice among retailers. Veneficus provides insights and assists clients in making decisions based on facts. The analyses required for this are often computationally intensive and take a lot of time to run. In order to provide a scalable, efficient and cost effective method for performing these analyses, the company must employ the latest techniques in cloud computing like Docker and Kubernetes. This project shows the process of setting up a autoscaling compute cluster, as well as an interface that data scientists with little to no knowledge of Kubernetes or other orchestration frameworks can use. By using the scale of a cloud based cluster and Greedy scheduling algorithms, we show that it is possible to perform large scale analytics in a way that Time to Completion is constant in the number of jobs being executed.
LibGuides: Reference management software: Which software should I use?

This guide introduces reference management software and the options available to users of UCL Library Services.
Interpersonal Communicative Motives used by Malaysian Teenagers on Flirting via the Social Media

The medium of communication is rapidly shifting from face-to-face to faceless communication. Today, people choose to send messages using technology to communicate with their family members, friends, colleagues, or even with strangers. This study focused on text communication via Twitter and Facebook and it attempts to examine the types of motives in Interpersonal Communication Motives (ICM) used by Malaysian teenagers with particular focus on flirting. This study employed a qualitative approach where the data was collected from tweets and Facebook posts by Malaysian teenagers for a period of five months. This study employed the framework by Rubin, Perse and Barbato (1988) to study the six motives namely pleasure, affection, inclusion, escape, relaxation, and control using content analysis. The study suggests that both genders have specific interpersonal communication motives and they are chosen lexical to fulfil their motives for flirting. In analyzing the motives, the choice of words used by these teenagers also plays a role. The data exhibits that both genders were likely to use inclusion and pleasure motives for flirting through faceless communication. By using faceless communication through the selected social media, both genders managed to develop their close interpersonal relationships easily by expressing their feelings and less damaging, as they can escape rejection, injury or humiliation if their motives for flirting were not accepted. Keywords: Faceless communication, electronic messaging, Interpersonal communication motives, flirting, social media
The importance of guided solving of real-life math problems in 4th grade

Mathematics includes not only procedural and conceptual knowledge, but is also about solving mathematical problems, through which an individual acquires new knowledge, connects already acquired mental structures and learns about different solving strategies. An important role is played by the teacher, who motivates and guides the students, and develops a positive attitude towards mathematics. The teacher's task is to select appropriate problem situations, while not forgetting about the mathematical problems from everyday life that are closer and easier for students to understand. In the theoretical part of the master's thesis, we first explained the concepts of problem teaching, problem situation, problem and mathematical problem. We presented different classifications of mathematical problems in more detail and supported them with our own examples. We described the conditions for successful solving of mathematical problems, defined the stages of solving by two authors and presented problem solving strategies in detail. We also touched on the types of inferences present in solving mathematical problems, analyzed the inclusion of problems in the mathematics curriculum, and described the concept of realistic mathematics at the end of the theoretical part. The purpose of the research was to determine the importance of guided solving of real-life mathematical problems in 4th grade students. We were interested in whether the planned guidance of students in solving mathematical problems yield better results. The research was used to find out which problem-solving strategies students use and whether the choice of strategy affects the success of solving a mathematical problem. We also investigated the relationship between learning success in mathematics and success in solving mathematical problems. The results of the research showed that students who are involved in planned problem-solving management achieve better results in solving real-life mathematical problems than students who do not receive planned management. In the results, we presented different problem-solving strategies and found that the type of mathematical problem determines whether the chosen strategy is effective in solving problems. It has also been shown that students with better results in mathematics solve mathematical problems more successfully than students with poorer results. Research in the field of planned guidance of students in solving mathematical problems can help to increase teachers' awareness of the importance of including the content of mathematical problems in regular mathematics lessons.