Reviewerly/exHarmony huggingface dataset:
A Hybrid Framework for Software Clone Detection

Software systems are becoming increasingly complex, and managing them is a critical topicin the software business today. Cloning is one of the fundamental factors that makes softwaremaintenance more difficult. Code cloning is a copy-paste approach for reproducing codeportions. Developers find it simple to copy and paste code throughout the early stages of aproject's development. This paper presents a hybrid framework for detecting code clones. Todetect code clones, it combines a token-based technique with metrics-based technique.Initially, metric based technique is applied to locate prospective clones. After identifyingprospective clones, token-based comparison is done to confirm that they are indeed clones.
AOC says Amazon HQ2 deal caused rental spike in Queens: Fact check

She also slammed the deal for offering $3 billion in tax breaks and incentives to the world’s richest man
Twitter removing coronavirus tweets it deems could trigger 'social unrest'

The social media company says it will remove posts it deems call for action based on unverified claims.
Military Named Entity Recognition Based on Transfer Representation Learning

In order to solve the shortage of annotated text in military field,a military named entity rec-ognition framework bi-directional encoder representations from transformers(BERT) bi-directional long short-term memory-conditional random field(Bi-LSTM-CRF)based on BERT,Bi-LSTM and CRF is proposed in combination with entity recognition technology. This framework takes the posi-tion,semantics block and part of speech as input features of the model. Though Transfer learning by BERT network,it grabs the general domain semantics coding features. Then,it decodes the military semantics features by Bi-LSTM. Finally,it realizes sequence prediction by CRF. The experimental results show that the named entity recognition framework performs better in accuracy,recall rate and F1 value than the current benchmark methods.
Library Guides: MSU Library Services for Faculty: Technology Services

Discover the services the library provides in research & publication, teaching & learning, and technology services. Help with instructional & research software and technological resources
THE NATURE AND SPECIFITY OF SUBJECT AND PROFESSIONAL STUDENTS` POTENTIAL ENHANCEMENT DURING THE EDUCATION IN INSTITUTIONS OF RUSSIA MIA

В статье рассмотрены основные сущностные характеристики повышения субъектно-профессионального потенциала курсантов в контексте особенностей подготовки в образовательной организации МВД России, особое внимание уделено социокультурному феномену субъектности, наиболее ярко проявляющейся в студенческом возрасте. Рассмотрена сущность социализированности личности в процессе адаптации курсантов к условиям обучения в ведомственном вузе на основе влияния внешних и внутренних факторов воздействия и учета внутри личностных детерминант. The article describes the main characteristics of enhance subject-professional potential of students in the context of specific training to the educational institutions of the MIA of Russia; special attention to the socio-cultural phenomenon of subjectivity, most evident in the student's age; the essence of social services of personality in the process of adaptation of students to training conditions in the departmental the University on the basis of influence of external and internal factors impact and accounting intrapersonal determinants; special attention is paid to the subjectivity of the individual through its activity, which in the context of improving vocational and subject-building becomes a means in realizing professional and personal potential of students, for building goal-setting, self-awareness, communication, reflection; significant essential characteristic is the development of volitional qualities that contribute to conscious regulation of behavior; value- semantic orientation as the essential characteristics, evidence of increased developmental potential of the educational organization, targeted interest to your existing inclinations, cadets, assessing their systemic properties of the person.
FUNDAMENTAL VISUAL CONCEPT LEARNING FROM CORRELATED IMAGES AND TEXT ANNOTATION

Heterogeneous web media consists of many visual concepts, such as objects, scenes and activities, that cannot be semantically decomposed. The task of learning fundamental visual concepts (FVCs) plays an important role in automatically understanding the elements that compose all visual media, as well as in applications of retrieval, annotation, etc.In this project we try to apply annotations for all the images which are uploaded in the online web by taking neighboring concept distributing (NCD) attribute ,in which those which are having some similar difference will be added with same type of annotation and then they are tagged.
Operadores de agregación como alternativa para la selección de recursos en la nube [Not available in English]

No English translation of this document was provided by the author or conference organizers.
A Meta-Analysis of the Effects of Poems in Korean EFL Classrooms

The use of literary texts has a long history in English language education. They provide abundant information related to the target language including not only linguistic input but also cultural issues (Collie & Slater, 1987). Especially, poems could be effective teaching materials for developing learners' language ability, creative thinking, and self-confidence in that they provide a framework for meaningful expressions and repetitive rhymes (Finch, 2003). In accordance with the advantages, many studies have examined the effects of poems on language classrooms in Korea, but the results are rarely comprehensive. This presentation tries to synthesize experimental and quasi-experimental research on English language instruction using poems in the Korean EFL context. There are two types of experimental research: within-group designs, which compare results between the pre-test and the post-test, and between-group designs, which compare results between a control group and an experimental group in this analysis. This analysis aims to explore the overall effect of poems on Korean EFL learners’ English ability and affective domain through meta-analysis. To select samples, the five databases are utilized such as DBpia, KISS (Korean-studies Information Service System), Kyobo Scholar, RISS (Research Information Sharing Service), and National Assembly Digital Library with key words. The current study focuses on research on all school levels from 2000 to 2020. An open-source software R version 4.0.1 is used to analyze selected samples statistically and calculate effect sizes. Detailed findings and pedagogical implications will be discussed.
Adaptive transfer learning

In transfer learning, we wish to make inference about a target population when we have access to data both from the distribution itself, and from a different but related source distribution. We introduce a flexible framework for transfer learning in the context of binary classification, allowing for covariate-dependent relationships between the source and target distributions that are not required to preserve the Bayes decision boundary. Our main contributions are to derive the minimax optimal rates of convergence (up to poly-logarithmic factors) in this problem, and show that the optimal rate can be achieved by an algorithm that adapts to key aspects of the unknown transfer relationship, as well as the smoothness and tail parameters of our distributional classes. This optimal rate turns out to have several regimes, depending on the interplay between the relative sample sizes and the strength of the transfer relationship, and our algorithm achieves optimality by careful, decision tree-based calibration of local nearest-neighbour procedures.
Virtual Disclaimer

As the coronavirus (COVID-19) spreads worldwide and taking into account the various circumstances of the participants, this year the conference was held in online conference. We were creating a customized “ICMMR 2020 online platform” that was a virtual environment where the attendees could present the papers and could participate in all the sessions that were organized in a full immersive experience. The access to the ICMMR online platform was offered to all the registered attendees. The virtual conference was held in Berkeley, USA during June 27-29, 2020. The time for each keynote speaker was 45 minutes, while for author was 15 minutes each. All keynote, parallel sessions, discussions and other activities were offered in a streaming online. This year we have around twenty participants from USA, Russia, UAE, Indonesia, Jordan, South Korea and other countries, whom we wish fruitful discussions.
Assessment of the CMEMS global biogeochemical forecasting operational system, with assimilation of Ocean Colour data

&amp;lt;p&amp;gt;The operational production of data-assimilated biogeochemical state of the ocean is one of the challenging core projects of the Copernicus Marine Environment Monitoring Service (hereafter CMEMS). In that framework, Mercator Ocean International is in charge of improving the realism of its global 1&amp;amp;#8260;4&amp;amp;#176; coupled physical-biogeochemical simulations, analyses and re&amp;amp;#8208;analyses, and to develop an effective capacity to routinely estimate the biogeochemical state of the ocean, including, amongst others, the implementation of biogeochemical data assimilation. Primary objectives are to enhance the time representation of the seasonal cycle in the real time and reanalysis systems, and to provide a better control of the production in the equatorial regions.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;In that framework, Mercator Ocean International has successfully updated its global biogeochemical analysis and forecasting system with an Ocean Color data assimilation capability. In this system, successfully commissioned in September 2019, the biogeochemical model (NEMO/PISCES) is offline coupled with the dynamical ocean (1/12&amp;amp;#176; coarsened to 1/4&amp;amp;#176; resolution) from the CMEMS global physical analysis and forecasting operational system (PSY4), at a daily frequency, and benefits from the assimilation of satellite (SSH-SST-SIC) and in situ physical data. Nevertheless, a biogeochemical climatological damping is activated in the biogeochemical model in order to mitigate the impact of some misconstrained processes (vertical velocities) from this physical data-assimilated forcing (under investigation). The dedicated assimilation of biogeochemical data relies on a simplified version of the SEEK filter, where the forecast error covariances are built from a fixed-basis - but seasonally variable - ensemble of anomalies computed from a multi-year numerical experiment (without biogeochemical data assimilation) with respect to a running mean. Regarding Ocean Colour observations, the system relies, as a first step, on the CMEMS Global Ocean surface chlorophyll concentration products, delivered in NRT.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;The objective of this presentation is thus to provide (1) a short description of the implementation of the aforementioned data assimilation methodology in the forecasting system; (2) a synthesis of the assessment of this global biogeochemical forecasting system, by cross-comparing the assimilated solution with various datasets, both spatial (Ocean Colour) and in situ (BGC-Argo, GLODAP), and (3) a synthetic overview of the impact/benefit of the assimilation of the Ocean Colour data.&amp;lt;/p&amp;gt;
A Bayesian Test for the Number of Modes in a Gaussian Mixture

Author(s): Jammalamadaka, S; Jin, Qianyu | Abstract: This paper provides a Bayesian framework for testing the number of modes in a two-component Gaussian mixture. The test is done by first setting up conjugate priors and computing the corresponding posteriors, which are then integrated over the restricted subspace of unimodal parameter space for the mixture distribution, thus obtaining the prior and posterior probabilities of unimodality. Monte Carlo and Gibbs sampling methods are employed to numerically compute these probabilities due to the difficulty in finding analytical solutions. A conclusion on unimodality for the given data is arrived at based on the Bayes factor. Effectiveness of the proposed Bayes test is demonstrated via simulations, and applied to a practical data set on adult human heights in order to answer the question whether the combined height data for men and women is bimodal.
Internet of Things (IoT) and Vocabulary Learning in the English Language

The present study has explored the importance of enhancing vocabulary through the Internet of Things (IoT) by learning English literature to 40 ESL learners (20 males and 20 females). This research also said that the vocabulary level increases when learners are confident in their learning activities. To improve the confidence level of the ESL learners, their understanding of vocabulary knowledge should be improved. Understanding will improve when the learners have enough vocabulary to convey their ideas, so it becomes the teachers’ duty to improve their vocabulary. In order to ascertain the authenticities about ESL learners’ vocabulary knowledge through the Internet of Things (IoT) by learning literature, a semi-structured interview was also conducted with 10 participants who completed the questionnaire. The results exposed the subsequent array of responses like ‘able to learn vocabulary better when it was presented through the Internet of Things (IoT) activities’, ‘how significant is the Internet of Things (IoT) Technology in learning vocabulary’, and ‘Internet of Things (IoT) activities were useful in acquiring various kinds of knowledge and information about a particular word’ scored maximum number of participants. The syllabus also should have task-based exercises and activities to evaluate the students so that they may be able to enhance their vocabulary through the Internet of Things (IoT) in their studies.
Introduction to R

Abstract The Introductory chapter gets readers started in R, teaching them how to work in both a script window and the console, create objects, and execute basic functions. The chapter dives right in to learning the basic coding of R! In addition, we discuss important topics such as writing literate and well-annotated code and organizing your data in an appropriate manner before you even import it to R.
Tree-Type Photonic Cluster State Generation with a Single Quantum Emitter

We propose to deterministically generate photonic tree states and repeater graph states of arbitrary size with a single quantum emitter. Photonic entanglement is established through emission and rescattering from the same emitter.
「牧羊哀話」의 한국어 번역 전략 연구

The three translations studied in this paper have the following characteristics. The translation A was published during the Japanese Colonial Period and did not omit or translate certain words to avoid censorship. In addition, there are many translations of Chinese characters, so if the target readers do not know Chinese characters, it is difficult to realize the equivalent of content. B and C translations were generally translated so that readers could understand them easily, using fewer Chinese characters. Overall, the translation of A used an exoticized translation strategy using a lot of Chinese characters, and certain parts were reduced and omitted according to the intention of the translator. B translation and C translation have implemented contents equivalent by utilizing a lot of localized translation strategies.
초등예비교사의 Jigsaw 협동학습 수업이 과제집착력 및 창의적 인성에 미치는 효과

The purpose of this study is to investigate the effect of jigsaw cooperative learning class of elementary pre-service teacher on task commitment and creative personality. This study established an twelve-week period of experimental treatment from september to november 2019, and the students who participated in the study formed a research group of 121 students in 2nd grade of their advanced classes who are attending the second semester of b university of education and taking courses in 'teaching research 2'. B university of education is singleness class that doesn't have compare group, so this study is constituted only study group. Applying based-jigsaw cooperative learning class to study group, before and after concept of task commitment test and creative personality test is performed. The results of the study were as follows. First, the study group applied jigsaw cooperative learning-based science class had statistically significant differences in task commitment (p<.05). Second, the study group applied jigsaw cooperative learning-based science class had statistically significant differences in creative personality efficacy(p<.05). Third, jigsaw cooperative learning-based science class of pre-service teachers have a very good feeling. Through such study results, the study could figure out that the class applying jigsaw cooperative learningbased science class has positive effect on concept of task commitment and creative personality efficacy.
Using Graphic Organizer Strategies in Developing Reading Comprehension Skill of Iraqi EFL Intermediate School students

The research aimed to investigate the effect of Using Graphic Organizer Strategies on the Development of Reading Comprehension Skill for Iraqi EFL Intermediate School students. Graphic organizers (GOs) are visual frameworks assisting students in the comprehension of a text. The sample of the study consists of (63) students randomly selected from intermediate schools in Iraq, (32) students represent the experimental group has been taught by using GOs, and (31) students represent the control group has been taught with recommended approaches. The study adopts a pre-test post-test design to measure the influence of the strategy. The two groups were taught by the researcher himself and through using of Google classroom platform for school. The study exposed that using of GOs has had a great effect on the students' reading comprehension.
FCA-based approach for modeling the domain knowledge in an education system

In multidisciplinary courses, learners have diverse educational background and training on varying subjects. Subjects that such learners have studied may or may not relate to those of a course now being pursued. A requirement, therefore, arises to ascertain the level of understanding that the learners’ have acquired respectively in their chosen subjects. This paper proposes a FCA-based teaching methodology for the learners on the basis of their background knowledge. In our approach, we first present a mathematical model to calculate the learners’ prior knowledge on the subjects of pursuing course based on the learners’ background knowledge. Using the calculated prior knowledge on the pursuing subjects, the learners are then clustered by generating proto-fuzzy to deliver appropriate learning material to each of the learners. Finally, we discuss the proposed model with an example.
Quantum State Tomography With Feed-Forward - Towards Embedding Feed-Forward in Quantum Computation

We have preformed 2-photon Quantum State Tomography by embedding a Pockels cell in a feed forward configuration into a scheme for creating linear cluster states - a first step towards implementing feed-forward in quantum computation.
Attitudes of Students of the Faculty of Mass Communication at Yarmouk University towards Using Video platforms in Distance Education

Despite the gigantic challenges raised by the Covid-19 pandemic, coping with them is a remarkable approach in the history of mankind. Especially in terms of education, stakeholders and policymakers are taking every possible effort to satisfy both instructors and students effectively. For this purpose, several online platforms such as Zoom, Moodle, Skype, and others are offering technology-enhanced learning. The current article also examines the students' attitudes towards Zoom Application as a source of Distance Learning. The researchers employed experimental design and selected n= 251 students from the Faculty of Mass Communication, Yarmouk University Irbid, Jordan. To broadly validate the presumed relationships, the researchers employed the Structure Equation Modelling technique. Findings showed that due to greater accessibility and usability, students are optimistically accepting Zoom Applications for Distance Learning purposes. Despite many respondents also expressed some challenges regarding the Zoom Application, all the participants acknowledge this Application is one of the best platforms regarding technology-enhanced learning. Thus, the researchers concluded that Zoom is the most preferred Application for eLearning during the current pandemic. However, there is another important application as well, that should be highlighted to examine their aspects as a source of the crisis management system. © 2021. RIGEO. All Rights Reserved.
Web Usage Mining Analysis in “OLX Autos” Online Sales Applications

Olx Autos is an online car selling service that allows customers to sell their cars quickly/instantly to more than 2,000+ partners. OLX Autos has 100+ inspection locations in 7 major cities in Indonesia, namely Greater Jakarta, Bandung, Semarang, Yogyakarta, Surabaya, Bali and Medan. Restful web service is a standard for exchanging data between applications or systems. This research analyzes restful web services to integrate the OLX Autos system with suppliers and buyers. Thus, making it easier for OLX Autos to place car orders and making it easier for suppliers to receive car orders. This study uses descriptive qualitative research methods, the results of the study explain that the Restful Web Service method used can integrate the OLX Autos system with buyers and suppliers very easily.
Fingerprint Scroll: Comparison of Touchless and Touch-Based Scroll Navigation Methods

We conducted a user study comparing the efficiency and speed of three scroll navigation methods for touch-screen mobile devices: Tap Scroll (the traditional touch-based method), Kinetic Scroll (a touch-based gestural method), and Fingerprint Scroll (our newly introduced hybrid method). The study involved 12 participants and employed a Google Pixel device. The accuracy results for Fingerprint Scroll were higher, with an average accuracy of 97.6% compared to 96.3% for Tap Scroll and 88.7% for Kinetic Scroll. The completion time for Fingerprint Scroll was 2.43 times longer than that for Kinetic Scroll and 2.32 times longer than for Tap Scroll. Despite the long completion times, participants showed a preference for Fingerprint Scroll because of ease-of-use, high accuracy, and interruption-free vision while reading ebooks. The latter is a significant issue for Kinetic and Tap Scroll because gestures are touch-based and hence the display view is obscured. Participants did not value the higher speed of navigation using Kinetic Scroll over Fingerprint Scroll for web browsing.
Perspectives on New Instruments

Through history and across cultures, musical instrument making has generally been a conservative practice. Most instrument makers are in the business of reproducing of existing types, rather than innovating or creating new types. though the design of unconventional instruments may at first seem an obscure or esoteric activity, enough people have engaged with the creation of new instruments to give us a sense of how such a practice can take shape: what the possible aesthetics of the field are, what the important questions and issues are, and what the ideas are that motivate different builders. This chapter aims to elucidate the most important of those themes. All musical instruments, old or new, can be seen as products of innovation, in that they must have been newly invented at one time. Quite a lot of creative work has gone into the development of new ways of thinking about interface and gesture.