Reviewerly/exHarmony huggingface dataset:
A Self-gated Activation Function SINSIG Based on the Sine Trigonometric for Neural Network Models

Deep learning models are based on a succession of multiple layers of artificial neural networks, which allows us to approach the resolution of several mathematical transformations and feed the next layer. This process is turned by exploiting the principle of non-linearity of the activation function that determine the output of neural network layer in aim to facilitate the learning process during training. Indeed, to improve the performance of these functions, it is essential to understand their non-linear behavior, in particular concerning their negative parts. In this context, the enhanced new activation functions which were implemented after ReLU function exploit the negative values to further optimize the gradient descent. In this paper, we propose a new activation function which is based on a trigonometric function and allows to further overcome the gradient problem, with less computation time compared to that of Mish function. The experiments that are performed over multiple datasets challenge show that the proposed activation function gives a high test accuracy than both ReLU and Mish functions in many deep network models.
Teaching Parallel and Distributed Computing in the Time of COVID

With both CS2013 and the most recent ABET computing criteria requiring coverage of parallel and distributed computing (PDC), many CS faculty are looking for ways to incorporate PDC concepts into their curricula. However, the COVID-19 pandemic and the switch to remote teaching introduces new difficulties to teaching a subject that many already find challenging. This BOF provides a forum for computing educators to discuss strategies they have used to teach PDC remotely. The organizers will share techniques that they have found effective (including the different tradeoffs those techniques involve) and foster a discussion in which others can share novel ways of teaching PDC remotely. The end-goals are: (i) to provide a venue in which those who have taught PDC remotely can share their experiences, in the hopes of identifying best practices; and (ii) to enable participants who are new to PDC to learn from the experiences of faculty who have already taught such courses in this new environment. No laptop required; any materials resulting from this session will be distributed via CSinParallel.org.
Research Guides: Demonstrate Your Contributions with ORCID: Frequently Asked Questions

This guide is an introduction to ORCID and includes information about how to create an ORCID record and use an ORCID iD.
Cloud Computing of Network and Impact of Communication

Cloud computing has revolutionized economy and developed technology, in which computer resources are provided based on the Internet. In particular, these resources can be provisioned dynamically and released according to the service request and with minimal management effort. Cloud computing provides the best solution for managing data, infrastructure, and so forth. However, the security issue for data sent within a public cloud remains a challenge for cloud providers. Indeed, these data are the aim of some network attacks, which are intended to interrupt, modify, and manufacture information. Thus, it is crucial to take these attacks seriouslyin order to improve the use and adoption of the cloud. Through this article, we will present a detailed study of cloud security by providing the most important existing solutions in this area. Then, we will propose a concrete example of security based on a layered methodology.
LibGuides: Library Information for History Graduate Students: Locating E-Books

This guide provides an overview of the library resources and remote services available for our graduate students.
Research on Design of Automatic Question Answering System Based on Convolutional Neural Network

Question answering system is an emerging information service system, which includes technologies such as natural language processing, semantic analysis, information retrieval, and artificial intelligence. Question answering system is currently a research hotspot in the field of natural language processing. It not only allows users to directly ask questions through natural language, but also directly returns accurate and concise answers to users. The question and answer system is different from the search engine that adopts question and answer technology. It can not only use natural language for question and answer, but also directly return accurate answers to users, and can answer users' further questions, which greatly improves user satisfaction and can better meet the real needs of users. This paper uses word convolutional neural network to build a set of high-accuracy task-oriented question answering system, improves the existing convolutional neural network question classification algorithm, and compares experiments on commonly used data sets, and compares experimental results. It highlights the validity and rationality of the question and answer algorithm designed in this paper, and makes a more detailed analysis of the experimental results.
Cross-area Node Selection Algorithm for Data Replica Storing in Cloud Data Centers

With the arrival of cloud computing and big data, enterprise application systems are supported by massive data storing in cloud data centers (CDCs), in which the popular open-source NoSQL databases (Cassandra, HBase, MongoDB) are utilized to cope with high concurrency, high availability, and high scalability. There are still two challenging issues: (1) When the consistency level and replica number is specified, selecting the appropriate nodes for data replicas to reduce the communication latency is necessary. (2) A tradeoff between reliability and synchronization time should be discussed in CDCs. In this paper, a cross-area node selection algorithm (CANSA) is proposed to minimize the communication latency, then a new method to adjust reliability in the data center is designed. Numerical results in the Cassandra cluster of CDCs demonstrate that the CANSA provides excellent consensus ratio, synchronization, and latency.
RTGAN: ORGAN CONTOURS IN RADIATION THERAPY WITH GENERATIVE ADVERSARIAL NETWORK

Generally, radiation oncology applies evaluation and prediction in medical imaging and diagnosis, specifically for contouring organs, which results in the production of the clinical target volume (CTV) that corresponds to disease risk and organ exclusion. Medical physicists contour organs and combine computed tomography (CT) scans to digital imaging and communications in medicine (DICOM) radiation therapy (RT) to assist physicians for diagnosing tumors and calculating the dosages in treatments including radiation and chemotherapy. Thus, to generate RT images with high accuracy, this paper proposes a new Generator Adversarial Network (GAN) for RT images called radiation therapy GAN (RTGAN). We combine multiple loss functions with synthetic similarity DICOM-RT images and compare the results with Pinnacle, a radiation oncology treatment planning system. Further, we evaluate the method to get a score of 0.984 in structured similarity (SSIM) and 31.26 in peak signal-to-noise ratio (PSNR) and find that it costs 0.058 s to finish contouring one CT image. The proposed method is applied and tested in the department of radiation oncology at the Chung Shan Medical University Hospital, and the results are similar to the ground truth images. Thus, it not only effectively reduces the false-positive rate but also makes a breakthrough in medicine.
Юбилеи национальных библиотек Содружества Независимых Государств в 2020 году

The article presents the facts and documents related to the foundation of the National libraries of the CIS countries, members of the Library Assembly of Eurasia, which celebrate their anniversaries in 2020. These include the National libraries of the Republic of Kazakhstan, Turkmenistan and the Republic of Uzbekistan. The article examines the political, demographic, humanitarian and educational basis of their establishment and formation, as well as the role of prominent political figures, scientists and library professionals in preserving and popularizing the written wealth of the peoples of Eurasia. The article reveals the basic principles of activity of the national libraries in modern realities.
PREVIEWING AND PREDICTING ON STUDENTS‟ READING ASSIGNMENT (A CASE STUDY IN THE SECOND SEMESTER)

Previewing and Predicting are strategies can be used before and during reading a text. A quick preview of the key elements of a text can help to predict what it might be about. This will help to prepare the information as reading. This paper aims to give insight on students‘ reading technique in previewing and predicting in the second semester of English Department. Grellet (1996) defines that previewing is a very quick reading technique to find out some information about a text. This technique involves using the title of a text, the table of contents, the index, the appendix, the preface of the author of publisher, headings or subtitles of chapters and paragraphs, information on the back cover, and acknowledgement. Moreover, Duffy (2009:103) explains that students must look for clues to the topic, think about what they already know about the topic, and predict what they think will happen on the basis of their prior knowledge. The study was conducted in the second semester in order to see how the students did reading assignment using previewing and predicting technique. Keywords: previewing, predicting, reading strategies, students‘ reading assignment.
The Influence of Background Data Size on the Performance of a Score-based Likelihood Ratio System: A Case of Forensic Text Comparison

This study investigates the robustness and stability of a likelihood ratio–based (LR-based) forensic text comparison (FTC) system against the size of background population data. Focus is centred on a score-based approach for estimating authorship LRs. Each document is represented with a bag-of-words model, and the Cosine distance is used as the score-generating function. A set of population data that differed in the number of scores was synthesised 20 times using the Monte-Carol simulation technique. The FTC system’s performance with different population sizes was evaluated by a gradient metric of the log–LR cost (Cllr). The experimental results revealed two outcomes: 1) that the score-based approach is rather robust against a small population size—in that, with the scores obtained from the 40~60 authors in the database, the stability and the performance of the system become fairly comparable to the system with a maximum number of authors (720); and 2) that poor performance in terms of Cllr, which occurred because of limited background population data, is largely due to poor calibration. The results also indicated that the score-based approach is more robust against data scarcity than the feature-based approach; however, this finding obliges further study.
Deposit Certificate and Sharing System of Threat Intelligence

In the digital age, malicious attacks have caused incalculable losses to individuals and enterprises. The traditional centralized preservation of threat intelligence is easy to be attacked, resulting in malicious tampering of intelligence, unequal threat intelligence, and low efficiency of intelligence transmission channel. Based on the blockchain technology, this paper registers the threat intelligence, designs the smart contract for the point-to-point transmission and sharing of threat intelligence, so as to ensure the effectiveness, credibility and security of intelligence transmission, and realize a decentralized threat intelligence deposit certificate and sharing system.
FACTOR ANALYSIS: THE ISSUES AND CHALLENGES IN ENGLISH SPEAKING SKILL OF BANGLADESHI EFL LEARNERS AT TERTIARY LEVEL

Purpose of the study: This article concentrates on the factors responsible for the barriers of thespeaking difficulties in English language of the tertiary level learners and the principal aim of this research is tominimize and categorize the factors in order to improve those weak areas of speaking skill and expunge thebarriers from the systems of the external environment.Methodology: This is a quantitative research solely based on the primary data by using a likert scaledquestionnaire from 113 ELT teachers and 151 MA in English students among 29 different public and privateuniversities of Bangladesh during the timeframe of March 2019 to February 2020. This questionnaire is actuallybased on the information on some secondary resources and researchers own experience. This data is processedby the operation of Factor Analysis through the SPSS 20 to produce the results of this research.Main Findings: After running Factor Analysis through SPSS 20, the total 22 factors responsible for thebarriers of this productive skill are condensed to 7 significant factors, e.g. lack of systematic support, anxiety,learners ineptness, and impact of mother tongue, rural background, social class and paucity of using interestingmethods for speaking skill by teachers.Applications of the study: This study can benefit ELT practitioner, material and curriculum writers,administrators and the stakeholders of NCTB and UGC, to take decisions for incorporating marks on speakingin the public exam and for improving the speaking skill and the design of the text for the tertiary level students.Novelty/Originality of the work: Previously lots of works have been found on improving speaking skill andusing motivational strategy but very few researches have been done on the factors impeding speaking skill ofthe tertiary level learners in Bangladesh. None of the former researches are conducted by using quantitativestrategy. But this research used factor analysis by utilizing SPSS 20 more explicitly and effectively
A Morphological and Semantic Analysis of Old English Double Suffixation based on Schematic Representation and Sense Inheritance

The central aim of this study is to provide a morphological and semantic analysis of Old English (OE) Double-Suffixed (DS) nouns, adjectives, and adverbs on the basis of the theoretical framework of Construction Morphology (CxM) (Booij 2010) and the semantic concept of Sense Inheritance (Bauer & Valera 2015). The results of this study are as follows. First, it is identified that there are 90 morphological patterns of OE [SF1-SF2] combinations, where there are 287 types of DS derivatives. Second, OE DS derivatives bear either regular (transparent) or idiosyncratic (Opaque or Pleonastic) formal and semantic properties, which have been specified clearly and simply in abstract schemas based on CxM. Third, as to the analysis of idiosyncratic (Pleonastic) DS derivatives, by following Booij (2007, 2008) and Booij & Audring (2018) in CxM, this article claims that pleonasm in OE DS nouns and adjectives is viewed as the phenomenon of Overcharacterization that occurs to increase the systematization and the coherence in the lexicon of OE. Fourth, from the perspective of Sense Inheritance, this study concludes that the regular (transparent) DS derivatives are in general totally inherit the properties from Single-Suffixed (SS) derivatives that are the bases for DS derivatives. On the other hand, the idiosyncratic (Opaque or Pleonastic) DS derivatives display the semantic patterns that correspond to Overall Inheritance, Semantic Narrowing and Semantic Widening. (Hankyong National University)
Robustness of Support Vector Machines

In this thesis we consider robust support vector machines (SVMs) and show equivalence with the regularized SVM, a well-known machine learning model for classification and regression tasks. Robustne ...
Quando si dice non più. Ragionando sugli artt. 5, comma, 1 e 6, commi 1 e 3 della Legge n. 40/2004

Reasoning on articles 5, paragraph 1, and 6, paragraphs 1 and 3, of law no. 40 of 2004, the essay wonders what is the most fair definition of judgments against the male partner of a couple who, after having given their consent to the use of MAP techniques, before such treatment is completed by means of the implantation in utero of the embryos formed, manifest the firm will not to continue in the couple's bond, dissolving it, and the equally strenuous choice to interrupt the search for the child, revoking the consent originally expressed for the use of new procreative methods.
INCLUSIVE STRATEGY DESIGN TO IMPROVE MILD COGNITIVE DISABLED STUDENTS’ ENGLISH LANGUAGE LEARNING

The use of inclusive strategies has been the best way in which the English teaching has been able to help disabled students in the development of their knowledge. Regularly, it can be noticed that in most of the institutions around the city there have been some problems for some mild disabled students to internalize the knowledge that teachers share with them during the English class. To be able to elude these problems, an investigation was carried out to plan inclusive strategies to improve the English Language learning of disabled students at Nelson Ortiz Stefanuto High School in Esmeraldas 2020. On the other hand, a descriptive, qualitative and quantitative investigation was done with the use of the methods of analysis and synthesis and hermeneutics, and a survey which was applied to the teachers and different authorities from the referred school. Besides, the results revealed that the teachers have little knowledge about the use of inclusive strategies; nevertheless, they try to investigate and apply some kinds of strategies to help some of their students. Even when the teacher tries, the students do not demonstrate that they are acquiring the knowledge in a correct way, because the included students are more worried about other subjects than the English one. However, the desire to learn English is always present when the teacher uses different kind of activities during the English classes. In summary, according to the research, it shows up that it is necessary that teachers use different kinds of activities and strategies to help their students to be able to internalize the English language.
Authoring Semi-automated Feedback for Python Code with Pedal

This demo introduces attendees to Pedal, a Python framework that streamlines the process of authoring semi-automated feedback on students? Python code. As a pure Python package, Pedal is compatible with a wide range of autograding platforms, including GradeScope, VPL, WebCAT, and BlockPy - as long as the platform allows package installation, Pedal should work. Pedal is a collection of modular program analysis tools exposed with a declarative interface, built around a centralized infrastructure. These tools include a sandboxed execution environment for running students' code with enhanced tracebacks, pattern matching syntax for specifying common student mistakes, basic type inference and flow analysis, random question pools, and a library of over 60 high-level, pedagogically-oriented assertions. Pedal's model for these tools synthesizes the detection of conditions and their instructor-mediated responses, encapsulated into dedicated feedback functions that can be tracked and modified as first-class objects. Our goal is to elevate Feedback with Software Engineering and Instructional Design practices, to become a central part of your course's development rather than an afterthought. Our toolchain also includes command lines utilities for unit testing your feedback to verify behavior and analyze collected programming snapshot data. Our hope is that adoptees will find that Pedal expands the power of their autograder and opens new avenues of research.
Research on Mobile College English Teaching Strategies Based on New Media

Taking college English teaching as an example, the traditional teaching methods have become incompatible with the development of new media technology. With the continuous advancement of teaching reform, College English teaching reform is imperative. With the rapid development of the Internet, the upgrading of mobile devices and the continuous enhancement of people's life-long learning, mobile learning is rapidly integrated into people's learning life with its unique advantages. English learning based on network and multimedia can make learners break up into parts, make full use of their spare time, break the limitation of time and space, and integrate English into real life. Due to the limited teaching conditions, there are still some problems in stimulating students' interest and improving students' practice and innovation ability in Colleges and universities. This paper takes college English Teaching under the background of new media era as the research object, briefly analyzes the existing teaching problems, and puts forward effective suggestions, aiming to provide certain reference for relevant education work.
GESTURE AS LANGUAGE IN DRAKEPOSTING INTERNET MEME (A STUDY OF SEMIOTICS)

In digital technology era, memes provide a means of communication across various internet platforms. It is debatable that many people prefer using memes because of their performance. Memes‘ language shares cultural sense implied in language use. Drakeposting internet meme, for example, provide gestures involving facial expression and hand movement to communicate certain intentions. In  semiotics study, gestures are part of signs conveying a specific meaning in a specific culture. This study discusses the ways of Drake‘s gestures in expressing meanings: (1) the type of gestures; and (2) the meaning conveyed. Data collection taken from a meme-collecting site was analyzed by applying descriptive qualitative method. In the findings, it is identified that gesture symbolizes meaning to communicate Drake‘s messages to his fans and people who read. Drakeposting internet meme speaks more than they are saying. Thus they motivate readers to improve their reading competency, leading to critical thinking. Keywords: gesture, internet meme, semiotics
Japan-Taiwan Comparison of Maker Faire from the viewpoint of STEM Education

Maker Faire is a meeting of makers which American O'Reilly Corporation hosts. The exhibitors display result of the making original products there. The visitors observe and share the result of the making and participate in a workshops. The author has exhibited Maker Faire Tokyo and Maker Faire Taipei and watched Taiwanese teachers work on STEM education and Maker education eagerly. Many students utilize 3D printers and laser cutters and work on making products such as robots and cars. Changes from DIY (Do It Yourself) to DIWO (Do It With Others) are also seen. The STEM education of Taiwan makes progress than Japan. This paper describes Taiwanese Make Faire compared with Japanese one from the viewpoint of STEM education.
초등학생의 유머 감각과 창의성, 과학 유머 창의성, 과학 유머 만들기의 교육적 효과에 대한 인식의 관계

This study investigated the relationships among ‘sense of humor’, ‘creativity’, ‘creativity in scientific humor’, and ‘perceptions of educational benefits for making scientific humor’ of elementary students. To do this, fifth graders (n=42) at an elementary school and fifth graders (n=38) at gifted science education institutes in Seoul were selected. Tests for ‘sense of humor’, ‘creativity’, ‘creativity in scientific humor’, and ‘perceptions of educational benefits for making scientific humor’ were then administered. Analysis of the results revealed that all subcategories of ‘sense of humor’ had significantly positive relationships with all subcategories of ‘creativity’ except ‘openness’. However, all subcategories of ‘sense of humor’ were not significantly correlated with all subcategories of ‘creativity in scientific humor’ and ‘perception of educational benefits for making scientific humor’. Educational implications of these findings are discussed.