Reviewerly/exHarmony huggingface dataset:
Enhancing Consumer Trust and Satisfaction towards Cloud Services

Abstract In today’s world, consumer of a service is prior and top significant part of a business. Cloud computing is an efficient technology with a vast amount of momentum, and its unique parameters are exacerbating various security and privacy concerns. Going from computations to the “Cloud” is making computing calculations easier towards the users, at the same time it will bring some new security concerns regarding the safe and reliable use of data of end users or customers using the cloud. Trust is a genuine and giant consideration point which is accepted as the backbone of cloud system, or it is a representation of satisfaction of cloud users. This paper firstly provides an analysis report about the trust and its boundary values which are assumed as those important features which directly/indirectly influences the satisfaction level based on the Service level Agreement (SLA). In this paper, we have provided a trust mechanism called “Online Feedback Channel- OFC” at the end of cloud users. This factor can be easily used by Cloud Service Users (CSU) to express their level of satisfaction. Keywords: Cloud Computing, Trust, Satisfaction, Elasticity, SLA, OFC, CSU Cite this Article Sukhjinder Kaur, Deepika Sood, Ramandeep Sandhu. Enhancing Consumer Trust and Satisfaction towards Cloud Services. Journal of Artificial Intelligence Research & Advances . 2019; 6(2): 52–57p.
Teaching Reading Comprehension Using STAD to the Students in Grade Eight at SMPN 3 Cipeucang

Cooperative learning is a group of learning activity which conveys skills of collaborating, cooperating, sharing and socializing in which students of all levels of academic ability working together in structured groups rather than as individuals in order to achieve the goals that could not be achieved individually. STAD is a cooperative learning strategy in which in one group consists of four to five learners with different levels of academic ability working together to arrive at the objective of the learning. This study aims to analyze the implementation of STAD in teaching reading comprehension narrative text to the students in grade eight at SMP Negeri 3 Cipeucang. This study employs Classroom Action Research. The data is obtained from the teaching-learning process, the result of the students’ task scores, observation, and field notes. The results of this study show that STAD is applicable and practical to be applied in teaching reading comprehension. The implementation of STAD in teaching reading comprehension significantly improves students’ reading comprehension. This classroom action research has met the criteria of success in which  in the first meeting, 80.6%  students’ reading comprehension task scores are equal to or above the minimum passing grade (KKM) 70, and in the second meeting, 87% students’ reading comprehension task scores are equal to or above the minimum passing grade.  In fact, STAD is good not only for the students, but also for the teacher. STAD offers the teacher a better peer teaching and to be more concerned on the teaching and learning process. STAD offers more fun to the learning process and creates good interaction between the students in learning the lesson material. In addition, the students are highly motivated and interested to the learning.
Programming Logic Modeling and Cross-Program Defect Detection Method for Object-Oriented Code

Code defects can lead to software vulnerability and even produce vulnerability risks. Existing research shows that the code detection technology with text analysis can judge whether object-oriented code files are defectiv... | Find, read and cite all the research you need on Tech Science Press
On the Succinctness of Cardinality Constraint Programs and Canonical Logic Programs

In this paper, we will discuss the succinctness between cardinality constraint programs (CPing) and canonical logic programs (Ping). We prove that every Ping program has an equivalent translation in CPing with small-size growth(without new variables). It is well known that the PARITY problem can be represented by a polynomial-size CPing program while exponential-size blowup is inevitable in Ping programs(without new variables). we get the conclusion that CPing is more succinct than Ping.
SELF-ASSESSMENT OF PROFESSIONAL COMPETENCY OF SUPERVISORS OF LATVIA

In 2019, a new Professional Standard of Supervisor of Latvia was developed and adopted, defining and describing the supervisor's professional competencies. It was necessary to find out whether supervisors who have been certified over the past five years and come from a different background recognize the importance of defined competencies. The aim of this study was to identify the self-assessment of the importance and attainability of professional competence of certified supervisors of Latvia. Two stage mixed method research design was used: (1) qualitative document analysis and expert study in order to develop a questionnaire; (2) quantitative online survey of professional competence of certified supervisors. Supervisors evaluated the importance and attainability of 34 professional competencies on a 5-point Likert scale. For data analysis the descriptive statistical methods, Kolmogorov-Smirnov test and Wilcoxon signed-rank test were used. The study indicated high importance of professional competence (22 of 34 competences as very important and 12 as rather important). The indicators of the attainability of professional competence varied from average to fully attainable, but most (28 of 34 competences) were estimated as mostly attainable. The results showed statistically significant differences between the evaluations of importance and attainability in 17 professional competences. The least important and the least attainable competence was “Ability to carry out research activities for the development of supervision theory and methods”. This study shows that Latvian certified supervisors consider most of defined professional competencies as very important and mostly attainable.
Lindell Library: Library Research Tutorials: What is Peer Review?

Tutorials that show you how to use resources at Lindell Library. A tutorial that outlines the peer review process.
INTEGRATION OF GENERAL TECHNICAL KNOWLEDGE IN PROFESSIONAL TEACHING OF TECHNOLOGY TEACHERS

The content filling of the educational field of «Technology» provides a deeper acquaintance of students with the modern achievements of technology, mastering the practice of design and technological activities. Bearing this in mind, it is topical to develop the scientific principles of engineering training for future teachers of labor training and technology, which led to theoretical substantiation and practical implementation of structural changes in curricula in general technical disciplines. The analysis of the scientific literature and practical experience shows that the proposed structure of the content of the integrated course «Engineering Mechanics» is aimed primarily at intensifying the students’ cognitive activity, as well as their broad involvement in independent work on the design and construction of technical objects. Such circumstances favor direct impact on the content of engineering training of future teachers of labor training and technology linked to the global change in scientific approaches and innovative processes in the creation of technical facilities and also indirect – caused by the development of modern production and information technologies.The article analyzes the current system of engineering training of future teachers of labor training and technology which is characterized by the reorientation of the educational process to the project-technological activity of students. The authors substantiate the necessity of integration of knowledge from the cycle of general technical disciplines in the content of engineering training of future teachers. Based on the didactic principle of continuity and taking into account the requirements of school curricula and cross-curricular relations with different disciplines of vocational training of teachers of labor training and technology, the authors propose the structure and content of the integrated course «Engineering Mechanics», which consists of the following sections: 1) «Statics, kinematics and dynamics»; 2) «Material resistance and machine parts calculation».
사회과 교과서의 독도 내용 현황과 문제점

Shimane Prefecture, Japan, enacted “Takeshima Day” in 2005, and the celebration has been held on February 22 every year. As a result, the provocation against Dokdo by Japan continued, and the political conflict between Korea and Japan intensified. In particular, as Dokdo was described as Japanese territory in Japanese social studies textbooks in elementary and secondary schools, the backlash from Korea has intensified and Dokdo education was reinforced. However, Dokdo-related contents in Korean social studies textbooks in elementary and secondary school have various problems. First, there are many overlaps and lack of sequence about Dokdo contents which are described in middle school social studies and history textbooks and high school Korean geography and Korean history textbooks. Second, the descriptions and maps of these textbooks include inaccurate contents on Dokdo. Correction and revision are required to improve the contents of Dokdo in the elementary and secondary school social studies textbooks.
Model-Switching: Methodology to Handle Fluctuating Workloads in Machine-Learning-as-a-Service Systems

Machine learning (ML) based prediction models, and especially deep neural networks (DNNs) are increasingly being served in the cloud in order to provide fast and accurate inferences. However, existing service ML serving systems have trouble dealing with fluctuating workloads and either drop re-quests or significantly expand hardware resources in response to load spikes. In this paper, we introduce Model-Switching, a new approach to dealing with fluctuating workloads when serving DNN models. Motivated by the observation that end-users of ML primarily care about the accuracy of responses that are returned within the deadline (which we refer to as effective accuracy), we propose to switch from complex and highly accurate DNN models to simpler but less accurate models in the presence of load spikes. We show that the flexibility introduced by enabling online model switching provides higher effective accuracy in the presence of fluctuating workloads compared to serving using any single model. We implement Model-Switching within Clipper, a state-of-art DNN model serving system, and demonstrate its advantages over baseline approaches.
Biometric Entry Systems and the Use of Facial Recognition | GV Lock

Facial recognition is no longer a concept from science fiction movies; it is being implemented in our everyday life. And it offers some real advantages ...
The Use of Information and Communication Technologies in Self-Training of Students of the Pop and Jazz Direction of Training

The article discusses the possibilities of using information and communication technologies (ICTs) in the organization of self-training of students in the system of higher vocal (pop and jazz) education.The analysis of the experience of musical teachers of higher education shows that at present, teachers of higher education use ICTs to varying degrees in teaching students.The current system of musical instrumental and especially vocal education requires modernization.When using ICTs, real conditions are created for the formation of self-training skills of a student vocalist, for the development of creative and critical artistic thinking, for tracking and evaluating the results of musical performance.The authors describe the possibility of introducing e-learning content and e-training into the educational process as a means of organizing self-study of vocalists.This created an electronic textbook, with the help of which student vocalists learn a new activity -"music design", learn the skills of the professional soundman, autoarranger, acquire skills of improvisation and composition.A MIDI keyboard gives the student the opportunity to become not only a participant in ensemble singing, but also a performing instrumentalist.The use of ICTs in the educational process enables vocalists to navigate the world of sound engineering, to master many sound effects of music in the style of "rap", "rock", "house", "thrash", "hip-hop" and the like.Thus, it can be concluded that electronic computer technologies have become an integral part of the music industry and music pedagogy, contributing to the overall information and music performance culture of university students.
Digital Education Competencies: Power Query

The article provides a method of teaching Power Query technology, implemented as part of the Federal State Educational Standard for Higher Education 3 ++ by professional standards in the direction of the bachelor's program "Business Informatics".The authors provide a set of laboratory works in the form of situational tasks and cases for the formation of professional competencies in the aspect of processing data of various types using Power Query technology.The use of situational tasks and cases helps to develop a range of professional competencies that are elements of generalized labor functions: bachelors learn to use the basic elements of Power Query technology, gain skills related to the application of the studied technology in performing professional tasks stipulated by a professional standard.The material considered in the tasks is not specifically linked to any discipline.The methodology is presented in the form of traditional Key-by-Key technology, widely used in teaching information technology.
What Is A Burner Phone And What Is It Used For

A burner phone is a low-budget cell phone which was designed for temporary use. After a burner phone has been used it may be disposed of, ...
Goals of the Dialogue of Students Career Guidance in Vocational Secondary Education

Nowadays dialogue is recognized as one of the main tools for individual career development and life designing because encouraging reflection and decision-making.The intent of the dialogue has always been aimed at understanding.The main goal of dialogue of students' career guidance in vocational secondary education is to build mutual dialogical interaction among the students, teachers, employers, career professionals, and school leadership.Such understanding provides the basis for a common set of goals and direction on how to help students to explore the labour market, learn to plan their career and make the right decisions in work-based learning.The aim of the study was to assess the findings of theoretical and empirical cognitions and to analyse the goals of dialogue from several points of view in students' career guidance: first of all, the model of the fields of conversations of W. Isaacs is used to reveal how the dialogue is developing; secondly, -the stages of career guidance and, thirdly,work-based learning for understanding the educational context of students' career development and life designing in vocational secondary education.A theoretical and empirical study was conducted.The empirical research was based on the methods of survey and experience reflection.There was used a survey questionnaire.The survey sample included 96 first to fourth-year students from six secondary vocational education schools of different regions of Latvia.During data processing the obtained results are statistically significant.Results show that only one-third of the respondents have established a dialogue with the career guidance stakeholders of secondary vocational education.Goal setting and achievement in dialogue development enables all career guidance professionals to understand, what support is needed for students of vocational education training schools.The hierarchical and successive nature of the goals in the development of the dialogue highlights the need for cooperation and common understanding among the persons involved in the development of students' careers.
Social Media Spam Detection - Twitter

The use of social media in the 21st century has generated a humongous amount of data. This technology is a very cheap, efficient and popular means of communication and can be used for sharing information and resources. Data can be of any type, such as facts, statistics, graphs, charts, trends that can be accessed by a computer for interpretation. People these days count on the data they get from social media to make their decisions. As the data available is huge and free of cost, it has enabled social spammers to exploit the world of internet by spreading different kinds of spam messages in order to promote blogs, advertisements and so on. The liberty given to a user to write a review of their will has given spammers a golden opportunity to exploit the trust of the customers by spamming the site with spam reviews about products based on different interests. IDE provides the users a workbench where they can arrive at the end result by integrating various tools.
Developing Social Studies Teaching Materials Based on Multimedia EPUB for The Effectiveness on Learning Outcomes

The aims of this study 1) to develop of Social Studies teaching materials based on multimedia EPUB 2) To determine the effectiveness on learning outcomes of the development of social studies teaching materials based on multimedia EPUB.This study uses a development method based on the Dick and Carrey model.1) The results of the development are informed from the validation of material experts who get 85% in the effective category.The results of the validation of linguists, media and design experts receive 89% percent in the effective category.Based on the percentage obtained, the Social Studies teaching materials based on multimedia EPUB meet the worthy standards of test.2) The results of the trial on the learning of the Social Studies teaching materials based on multimedia EPUB obtain a score of 72% which states that the increase of posttest is influenced by the success of the use of teaching materials based on multimedia EPUB, so that the development of Social Studies teaching materials based on multimedia EPUB can be effectively used for the learning of Social Studies.
Framework for opinion as a service on review data of customer using semantics based analytics

At Opinion mining plays a significant role in representing the original and unbiased perception of the products/services. However, there are various challenges associated with performing an effective opinion mining in the present era of distributed computing system with dynamic behaviour of users. Existing approaches is more laborious towards extracting knowledge from the reviews of user which is further subjected to various rounds of operation with complex procedures. The proposed system addresses the problem by introducing a novel framework called as Opinion-as-a-Service which is meant for direct utilization of the extracted knowledge in most user friendly manner. The proposed system introduces a set of three sequential algorithm that performs aggregated of incoming stream of opinion data, performing indexing, followed by applying semantics for extracting knowledge. The study outcome shows that proposed system is better than existing system in mining performance.
PCN295 A CLAIM-BASED ALGORITHM PREDICTING BREAST CANCER STAGE AT DIAGNOSIS

To develop and validate a predictive algorithm to identify breast cancer stages using treatment information obtained from claims data. The SEER-Medicare database contains linked “gold standard” cancer stages from SEER cancer registries and claims data from Medicare. We built a classification tree model based on variables identified through diagnosis, procedure and medication codes from inpatient, outpatient, physician and pharmacy claims. Female fee-for-service patients older than 66 and diagnosed with stage0-IV breast cancer between 2008 and 2013 were randomly assigned to training and validation sets. A classification tree model was based on variables identified through diagnosis, procedure and medication codes from inpatient, outpatient, physician and pharmacy claims. The performance of the classification model was measured by sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). The algorithm identified stage 0 breast cancer with 85% sensitivity, 97% specificity, 84% PPV, 97% NPV, and 91% AUC; stage I with 83% sensitivity, 75% specificity, 74% PPV, 85% NPV, and 79% AUC; stages I/II with 93% sensitivity, 73% specificity, 90% PPV, 79% NPV, and 83% AUC; stages II/III with 63% sensitivity, 91% specificity, 78% PPV, 83% NPV, and 77% AUC; stage IV with 79% sensitivity, 99% specificity, 67% PPV, 99% NPV, and 89% AUC. Our algorithm had excellent predictive power for stage 0 and IV breast cancer, and good performance for stage I cases. Stage II and III identification were less successful due to the similarities in treatment recommendations. The overall accuracy significantly improved with combined estimations of stages I and II, as well as stages II and III.
Author Profiling Using Semantic and Syntactic Features : Notebook for PAN at CLEF 2019

In this paper we present an approach for the PAN 2019 Author Profiling challenge. The task here is to detect Twitter bots and also to classify the gender of human Twitter users as male or female, b ...
LibGuides: APA Referencing Style : General Guidelines

The aim of this guide is to present concisely the basic rules for citing various types of resources in APA Referencing Style (6th edition).
Reaching the Unreachable: A Method for Early Stage Software Startups to Reach Inaccessible Stakeholders within Large Corporations

Bridging the gap in software development from ideato need remains a difficult task for startups, especially when users are unreachable within the black boxes of large corporations.The lack of customer collaboration results in the failure of requirements elicitation and subsequently the failure of softwareproducts. In this work, we describe a simple but effective methodto enable startups to reach relevant hidden stakeholders withinlarge corporations and elicit requirements from them. AdvisorNet leverages professional networks and social media to find senior domain experts. These carefully selected advisors bridge thegap from the outside world to the hidden corporate structure andsocial networks in the target corporation and enable highly successful elicitation from stakeholders. We demonstrate AdvisorNetwith a real-world case study in which a London-based startupsuccessfully connected with multiple advisors who then introduced previously unreachable users for requirements elicitationand decision-makers to achieve their goal of trialing their product within the large corporations. Finally, we provide suggestionsfor future research to formalize the method further and enable itto become rigorous and repeatable.