Reviewerly/exHarmony huggingface dataset:
Investigating dependency code reuse using callgraphs

Software development is more and more reliant on external code. This external code is developed, bundled into packages and shared using package repositories like crates.io or npm. Reusing shared code bundles greatly improves development speed but without proper care and knowledge of included external code it can cause issues as well. Over-reliance on simple trivial packages that can be easily implemented locally can cause severe consequences like not being able to build if the package is no longer available. Furthermore, including large packages when only a small amount of it is being used can cause software projects become bloated with unnecessary code. This thesis proposes several metrics: leanness index, software composition index and utilization index that quantify how software projects reuse their dependencies or how much of the dependencies are utilized by their dependents. All three of the metrics are based on full function callgraph of the applications. Computation of these metrics was implemented for Rust and applied on every package in Rust package repository crates.io. General findings showed that dependency leanness was rather low: 21.7% of all packages in crates.io used less than 5% of their included dependencies while 95% of all crates used less than 62.4%. Another discovery revealed that packages in crates.io tend to consist mostly of code from external dependencies as opposed to local code: on average 91% of lines of code come from external dependencies. Lastly, using utilization index functions that were never used by any other crate in crates.io were identified: in 95% of packages, 71% of their callgraphs are never used.
ANALISI PERSEPSI MAHASISWA TENTANG GOOGLE TRANSLATE (STUDI KASUS DI DEPARTEMEN PENDIDIKAN BAHASA JERMAN UPI)

Google Translate is a translator machine that can translate various phases of translation with multi-features. However, the results of Google Translate translations are still limited and often sustain errors because there is still a lack of attention to new terms adopted by a language. Accordingly, a study of student perceptions about Google Translate was conducted. This study aims to inquire about the experience and the perception of students of German Language Education Department FPBS UPI in using Google Translate. This study used a qualitative analysis with a descriptive case study method. The subjects are students of German Language Education Department with a representative sample of each population. This study used the form of a questionnaire for the instrument. The result showed: 1) the students' are more often use Google Translate on smartphones because it can translate various forms of text and media such as words, sentences and web pages. All forms of translation and features have been used by students. Also, Google Translate helps them in learning German; 2) the students' considered that the speed and accuracy of Google Translate in translating were good and effective, and they also indicated that they would continue to use Google Translate in the future. The language equivalents in German and Indonesian are not the same which makes the translation result still wrongs, but the tudents work around incorrect translation results by making improvements manually. However, the accuracy of the translation results is good, making it easy to understand. Thus, it can be concluded that students' perception of Google Translate is good. Their experience and perception show that Google Translate is still appropriate to be used as a translation tools. As further research material it is advisable to analyse and compare the translation results of each feature owned by Google Translate.
A Study on ETF Tracking Error and Influential Factors: Focused on the Underlying Asset Replication Method

Exchange Traded Fund(ETF) is an investment product that can be traded in the stock market and follows underlying assets such as KOSPI200. With the volume of the ETF market growing recently, it has become more important to see how well ETF replicates underlying assets. The ETF’s method of tracking underlying assets is first, physical replication, which directly buys stocks and track indexes, and secondly, synthetic replication through swap deals with counterparty investors. This study empirically studied the effects of these two replication methods on tracking error through the random effect panel regression model. The main result showed that tracking errors in physical replication method were more significant than those in synthetic replication. The number of constituents belonging to the underlying index, the cash holding ratio, and intraday volatility in the value of net assets had a significant effect on the errors. This research is valuable in that it is the first in Korea to empirically analyze the difference in tracking error of ETF by the replication method. These ETF replication type characteristics suggest that ETF operations may seek to improve price efficiency, which reduces tracking error.
The impact of technology in 2020

opinion The impact of technology in 2020 Share on Author: Jovian Jaison View Profile Authors Info & Claims XRDS: Crossroads, The ACM Magazine for StudentsVolume 27Issue 2Winter 2020 pp 74–76https://doi.org/10.1145/3433132Online:17 December 2020Publication History 0citation80DownloadsMetricsTotal Citations0Total Downloads80Last 12 Months43Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Efficient Algorithms for Determining the Maximum Independent Sets in Graphs

It is known that there are many NP-hard and NP-complete problems in graph theory. The aim of this paper to solve the maximum independent set which is an NP-Hard and NP-Complete problem. In order to solve maximum independent set for given graph, a special spanning tree which is defined in this paper for the first time, is solved to obtain the fundamental cut-sets. The fundamental cut-sets are used to determine the effects of nodes. These effects of nodes are used to determine the elements of maximum independent set.
Global Computer Graphics Market

Global Computer Graphics Market was valued US$ 32.10 Bn in 2019 and is expected to reach US$ 54.20 Bn by 2027, at a CAGR of
A Study on Vocabulary Usage Patterns of Korean Learners Based on Text Mining.

The purpose of this study is to measure ‘vocabulary diversity’, ‘vocabulary relationship complexity’, and ‘text coherence’ that appear in the written corpus of Korean learners by using the text mining technique to examine learners’ vocabulary usage patterns by proficiency level. ‘Vocabulary Diversity’, ‘Vocabulary Relationship Complexity’, and ‘Text Coherence’ were measured by targeting the corpus of 3-6 level learners corresponding to the middle and high level of Korean language education institutions using text mining techniques. As a result of the measurement, the higher of the learner’s mastery, the higher the value was measured. The vocabulary diversity increased to 0.0026 for the 3rd level, 0.0932 for the 4th level, 0.2382 for the 5th level, and 0.3658 for the 6th level, and the vocabulary relationship complexity increased to 0.2381 for the 3rd level, 0.3085 for the 4th level, 0.4325 for the 5th level, and 0.4899 for the 6th level. Text coherence rose to level 3 0.1717, level 4 0.1910, level 5 0.3210, and level 6 0.3684. As a result of conducting an analysis of variance to confirm whether these quantitative values were significant, the differences in the averages for each level of proficiency measured by applying the text mining technique were all significant and were consistent with qualitative analysis.
ORIENTATIONS FOR RESEARCH OF SOCIAL EDUCATION METHODOLOGY

The article provides guidelines for the study of the methodology of social education. An appeal to the legislative and regulatory framework made it possible to identify the actual goals of education. Some aspects of the categorical-system methodology of the study of social education are revealed.
Modernity of Ancient Literature Based on Big Data

Now, data is in an explosive increase in the “big data (BD) era”. Information technology has greatly promoted the research of ancient literature, mainly in the technology of data collection and data retrieval. Based on big data, this paper uses data mining technology to study the modernity of ancient literature. This paper uses data mining technology to study the modernity of ancient literature through the establishment of mathematical analysis models of ancient literature and the Cholsky decomposition method. This paper conducts data mining on large-scale ancient literary works to find out the potentially valuable information hidden in the literature. Through the analysis of 6359 documents, this paper uses data mining technology to find 659 useful information from 6359 documents. Through experimental research, it is found that BD technology has certain advantages in the study of the modernity of ancient literature, which will promote the common development of ancient literature and modern literature.
Preface to the Special Issue on Coordination and Self-Adaptiveness of Software Applications

Requirements elicitation is a crucial phase in the software development life cycle. During requirements elicitation sessions, requirements engineers capture software requirements, and motivate stakeholders to express needs and expected software functionalities. In this context, there is a lack of extensive empirical research reporting the extent to which elicitation sessions can be influenced by participants' gender.This paper presents our research endeavour to investigate requirements engineers' effort and elicited requirements' accuracy based on participants' gender.We conducted an experiment in two rounds with a total of 59 students who played the role of requirements engineers. In the first experimental task, the participant watched two videos where men and women stakeholders expressed software requirements. Later on, the participants specified software requirements in the shape of Business Process Model and Notation (BPMN) and next they generated Graphical User Interfaces (GUIs) from those models.We observed two significant differences. One between men and women requirements engineers in terms of dedicated effort during requirements specification: men took less effort. Other between stakeholders' gender in terms of accuracy resulted of BPMN models: models built from men stakeholders yield more accuracy. On the contrary, accuracy of resulted GUIs models did not show significant differences regarding requirements engineers or stakeholders' gender.Analysing descriptive data, women spent more time both as stakeholders and as requirements engineers but their accuracy is better.
PEDAGOGICAL TECHNOLOGIES FOR INTRODUCING MODERN YOUTH TO FAMILY VALUES

At present, the theory of values is undergoing its revival due to the new social, scientific and technical realities of reality, since the categories of peace, human life, and livelihood are beginning to play an increasing role in the content of the world perception, worldview of new generations. The hierarchy of values, as well as the place of family values in it, reflect the characteristics of time, living conditions and form the basis of a person's relationship with himself, with others, with the world as a whole. In the context of this issue, we are considering a set of measures aimed at introducing modern youth to fundamental family values, which can play a significant role in shaping their mental and physical health, as well as supporting the creation of their own family. Relevance is due to the fundamentality of the family question, its role is inscribed in many spheres of life, and is affected in the sciences related to psychology, such as sociology, psychology, pedagogy and philosophy. An example of this is that in many fields of related sciences, one way or another, the topic of the institution of the family, and family values as such, is touched upon. Family values are part of the healthy functioning of society. Family education gives us certain qualities that we use in adulthood, which significantly affects the whole life of society. Attention is drawn to the importance of the institution of the family for society, its connection with other spheres of life, such as work, circle of communication, self-realization, and others. The main emphasis in the designation of importance was on the social and spiritual spheres.
Well-Organized Collision Resistance Signcryption For Key Generation Against Multi-Handler Cloud

Collision resistance has been most significant features in cloud environment especially multi handler cloud. The collision has been avoided by using strong collusion resistance-based Hash functions as well as the algorithm based on integer factorization and discrete logarithm. In cloud environments most of the applications depend on the multi-hander scenario. In multi-handler-based cloud always less secure against collusion resistance attack. In this paper the well-organized key generation has been developed against collusion resistance attack. The performance has been evaluated by signcryption security principles.Keywords- collision resistance, signcryption, polynomial modulator, multi-handler cloud, random bit generation, linear feedback shift register
Analysis on the Construction of English Language and Culture Teaching System Based on Artificial Intelligence

Artificial intelligence is a science to study the law of human intelligent activities. The application of artificial intelligence technology in College English teaching, combined with the development of auxiliary teaching language system, can effectively solve the problems such as lack of teachers and single teaching mode in the current college English teaching reform, and realize the sharing of teaching resources. It can effectively improve the quality of teaching, reduce the burden of teachers and strengthen students’ autonomous learning ability. This paper introduces the principle, characteristics and application fields of artificial intelligence, analyzes the problems of College English language teaching at present, and puts forward the implementation scheme of College English language assistant teaching system based on artificial intelligence technology. The system consists of two important parts: the expert system module of teacher’s English assisted instruction, which is based on the theory of expert system. It uses the combination of production and framework to express the knowledge in the field of English language, and uses uncertain fuzzy reasoning analysis to make the teacher understand the mastery of students’ knowledge points. In English language teaching, it uses neural network to establish the module of students’ autonomous learning system, Analyze the test situation of students, so that students can diagnose themselves.
PROBLEMS OF INTRODUCING ONLINE-COMPONENT INTO THE EDUCATIONAL PROCESS

The article is devoted to the problems and prospects of introducing massive open online-courses (MOOCs) in the educational process of Russian universities. The main goals of digitalization of the activities of higher education institutions and the problems that universities face in this process are analyzed. The main directions of the onlinecomponent implementation are considered: from using MOOCs as additional material to creating own MOOCs. A critical assessment of the effectiveness of using online-courses in the educational process from the point of view of students, on the one hand, and from the point of view of teachers, on the other.
Rotation Invariant Copy-Move Image Forgery Detection Using a Method Based on Fuzzy-Zernike Moments

Abstract Without leaving any visual clue, digital images are easy to manipulate due to the availability of countless editing software packages. Any image manipulation can become a forgery. Copymove forgery is a very common method of creating forge images by copying some part of the image and pastes it on the same image. In this paper, we propose a copy-move digital image forgery detection method using Fuzzy-Zernike Moments. The proposed method combines the fuzzy logic with Zernike Moments for better detection rates. The goal of this paper is to improve the accuracy in the detection of forged area. The image is first resized and divided into overlapping blocks. Then the features of the blocks are extracted using Fuzzy-Zernike Moments technique. After, matching is performed by using lexicographic sorting. Finally, filtering is performed to reduce the probability of false matches by using correlation technique. Experimental result shows that the proposed method can detect duplicate regions efficiently. Keywords: Digital Forgery, Authenticity, Copy-Move Forgery Detection, Image Forensics, Zernike Moments, Fuzzy Logic Cite this Article Prabhjot Kaur, Khyati Marwaha. Rotation Invariant Copy-Move Image Forgery Detection Using a Method Based on Fuzzy-Zernike Moments. Journal of Computer Technology & Applications. 2016; 7(2): 58–68p.
Mammographic Screening and Breast Cancer Management – Part 1

68This chapter will introduce important epidemiology and principles of breast cancer and provide some background to screening mammography and its historical relationship with computation. Selected applications of artificial intelligence to screening mammography are then summarized before discussing challenges and possible future applications, including the improved assessment of prognosis and potential for robust predictive models.
Center-Symmetrical Object Detection Based on Gabor Wavelets

Symmetry is an important visual characteristic in the image and can be used to identify real-world objects based on their geometrically balanced structures. Although image analysis of axisymmetry has been studied for years and many approaches have been developed to detect axisymmetry, image analysis of center-symmetry has been received little attention. Symmetrical center detection is a very important inspection for image analysis. The detected result is useful for image processing, such as object detection, image inpainting. It is difficult to detect the symmetrical center for the real-world image. Because the symmetrical objects usually appear some geometric transformation making them not perfectly center-symmetrical. This article proposes a novel weight voting approach to detect the global symmetrical center from a single image, noted as weight voting for center-symmetrical object detection (WVCS). Firstly, we sampled some feature points to vote for the global symmetrical center. Then, the orientation of Log-Gabor response and color information of HSV space are utilized as the feature descriptor to compute a similarity measure for two points. A proposed penalty term is employed to focus on the center-symmetrical objects in the foreground. The position with the maximal weight voted by all sampled feature points represents the symmetrical center. Based on the detected symmetrical object can be detected by fitting the symmetrical feature point pairs. The experimental results show that the WVCS outperforms other state-of-the-art algorithms while detecting the symmetrical center and objects from real-world images.
LibGuides: Homework Help Resources for TEENS!: Home

Online resources for tutoring, school assignment support, and enrichment for Pre-k through 12th Grade
Ontology-based semantic search development on Lanna King History using Buddhist temple and related documents

Historical information is important to explain the story of what has happened in the past. Studying history helps us understand change and how the society we live in came to be. The objective of this study has presented the methodology for developing a knowledge base of historical Lanna in aspect king history in Buddhist temple and related documents by using ontology techniques and developing its application as a semantic search system. Ontology technique helps identify key concepts and relationships among the concepts in the domain knowledge. It represented the relationship between king, temple, historical site, and year. The process of research started with collecting temple data located in the upper northern part of Thailand from the National Office of Buddhism, the Fine Arts Department and Temples Information Center and creating a database to systematically storing them. In addition to previous research, we also use the results from the historical relation extraction consisting of relationships of Lanna king and Buddhist temples. The design and development ontology use the Hozo ontology editor tool. The result is the Lanna Historical Ontology consisting of 8 major classes. The ontology transformed into OWL, then import to OAM program for mapping to database and creating the semantic search application for historical Lanna kingdom. From the experiment, we used the queries of 18 items from four sections and the result was evaluated by three history experts. The results indicated the semantic search and ontology will improve the precision of knowledge retrieval and presenting the relationships related to the Lanna kingdom history.
Developing an Approach to Evaluate and Select Electrical Control Systems: A Case Study Saudi Electricity Company

A control Center is the brain of any power system to conduct both monitoring and operational tasks in electrical power. This paper purpose to determining the different possible solution for replacement current system which the most preferable solution in decision-making time.Looking for the detailed technical specification for the systems under study as it is the know-how of each vendor by looking for the detailed technical specification, high quality of merge data and cost in thus criteria found a great acceptance. Therefore, a Decision-Making problem had several methods techniques that helped decision-makers to deal with vendor affected in selection problem to enhance the overall performance of the system and apply the latest and most proven best practices in select best alternative. The investigations study different policies consider evaluation with sensitivity analyzed cases in priority with the implementation methods in find result. Keywords: Decision-Making, Systems, vendor
MCCC Library Guides: OER's at MCCC: Find OER

Monroe County Community College Faculty Professional Development Day January 7, 2020 Information about where to find OER materials.
Qualia Irreducibility Thesis

The article discusses the possibility of a naturalistic explanation of phenomenal experience (qualia). It starts with the analysis of one of the thought experiments described by D. Chalmers in his book “The Conscious Mind. In search of a fundamental theory”, namely, a zombie experiment. The article shows that the conclusions of this experiment can be recognized as correct only provided that the experimenter imagines a complete functional analogue of a human being. However, this condition is not feasible, since the experimenter is required to possess the totality of knowledge about the imaginary creature. Experimenter’s imagination is in one way or another determined by the available conceptual schemes. It is concluded that the thesis of the irreducibility of qualia, based on the data of thought experiments, is a presupposition of conscious mind studies, and not their conclusion. From my point of view, this presupposition can be challenged just as N.I. Lobachevsky challenged the intuitive plausibility of Euclid’s fifth axiom. As an alternative understanding of the nature of qualia I propose J. McDowell's approach, which is called “perceptual conceptualism”.