Reviewerly/exHarmony huggingface dataset:
Research on College Enterprise Joint Individualized Training of English Talents Under the Background of the Belt and Road Initiative

As the "The Belt and Road" initiative advances constantly, the cultivation of English talents under the model of school enterprise joint training has been concerned by related scholars. Meanwhile, this is also the basic performance of cultivating excellent English talents in colleges and universities. Based on the brief introduction of "The Belt and Road", this paper analyzes the current status of personnel training, and finally puts forward some effective countermeasures for innovation of talent cultivation model.
IMPLEMENTASI PENDIDIKAN KARAKTER KELOMPOK ANAK PENCILS GENERATION TERHADAP KEMAMPUAN BAHASA INGGRIS

This study aims at building the character of children in the Pencil Generation group in the Simalingkar B Medan city through learning English. This learning group is a group of children who come from poor families and do not to get enough attention from their parents. As it is known, English is one of the important languages, remembering that English is an international language that is well-mastered the society. Character education is sufficient to be taught in Pencils Generation children because basically they tend to be rude in speaking and acting towards others. The method used in this study is a qualitative method. On this occasion the researcher wants to describe that through learning English, especially in speaking skill, the children’ character growth can be improved well, especially children Pencils Generation. Speaking is one of four skills that one must have in learning English itself
ALOSI: Aspect-Level Opinion Spam Identification

Opinion mining, an upcoming area of computational linguistics, deals with analysis of public sentiment polarity of a product giving rise to a new platform on social media and e-commerce for users to express/explore opinions on products and/or product manufacturers for the betterment of the product development. A tentative product rating can be derived from the product opinions mined. ALOSI takes opinion mining to a deeper level performing opinion mining at aspect level giving well-analyzed results at product component level. But the data received is not always totally relevant leading to false rating of the product or aspect(s). This irrelevant data can be labeled as spam and is important to identify as it may restrict the model. The presented work models a product-based aspect-level sentiment analysis on public reviews with spam identification and filtering, hence, highlighting the difference in the rating of product or aspect(s) with the presence and absence of spam reviews.
From Felicitous Models to Answer Set Programming

Felicitous models were defined by Kit Fine in 1987 for the purpose of describing the semantics of negation in the programming language Prolog. They are often referred to as stable models, or answer sets. Years later, sophisticated software systems for generating answer sets were designed, and they became the basis of a new programming paradigm, called answer set programming. That programming method is used now for solving computational problems in many areas of science and technology. This chapter traces the early history of felicitous models and the ways in which that idea contributed to computer science.
A Parameter Optimization Method for Deep Reinforcement Learning by Evolution Strategy Using Multiple Higher-Ranked Individuals

As a parameters optimization method for neural networks which is applied to reinforcement learning, Evolution Strategy has been proposed. In this method, neural network parameters are represented by individuals, like ordinary evolutional strategies. While the evolution, a new individual is generated from some distribution that centered a parameter and is weighted according to the order of reward that the neural network corresponding to the individual obtained. However, there are cased that the differences of reward values among the higher order individuals are so few that the updating can not lead to individuals to higher quality. So, in this research, after updating the normal parameters, we select the top individuals who get high rewards and weight them, and propose a method to update the parameters again using those individuals. By focusing on individuals who get a high reward, it is expected to search for a parameter that can obtain a high score earlier than the conventional method. In the experiment, the conventional method and the proposed method are applied to BipedalWalker which is a learning environment of a 2D biped robot in OpenAI Gym, and evaluation is performed and as a result, the proposed method showed better performance than the conventional method.
Tile Priorities in Adaptive 360-Degree Video Streaming

For video applications, tiled streaming is a popular way to deliver viewport dependent 360-degree video. Unfortunately, dynamic adaptation to network bandwidth fluctuations of such video streams is still a challenge. This paper proposes a method for managing in a controlled way the graceful quality degradation in DASH-based streaming systems to deliver omnidirectional video. The method is enabled by the signaling of tile priority maps in order to reduce the impact of graceful degradation on the users’ Quality of Experience (QoE). Simulation results show that this method allows degrading the system by over 10% of minor bandwidth usage during Viewport Dependent Streaming, without sacrificing the user QoE so much compared to the case that does not make use of this technique. Furthermore, the presented method improves flexibility from the service provider’s standpoint.
RETRACTION OF ACADEMIC ARTICLES DUE TO PLAGIARISING FROM DOCTORAL DISSERTATIONS: AN ACT OF ACADEMIC MISCONDUCT

RETRACTION OF ACADEMIC ARTICLES DUE TO PLAGIARISING FROM DOCTORAL DISSERTATIONS: AN ACT OF ACADEMIC MISCONDUCT
Formulation of Trust Model of Manager and Management Accountants

Because management accountants contribute to the control process through providing performance reports that compare real results with planned outcomes for each responsibility center, building trust between this group of accountants who play a key role in the long-term success of the business unit, and the firm's managers, is one of the most important organizational issues. This research, using the qualitative research method and the field-based grounded theory approach, investigates the factors and conditions leading to building trust between managers and management accountants and accordingly it develops  the relevant model. To answer the questions, this research uses results from interviewing 16 experts in this field. In 12th interview, we reached the saturation point in our findings. After initial coding of interviews and categorizing the various codes into basic themes based on the developed model, the research finds a set of Individual causal conditions such as competence, loyalty, and personality traits. Also it achieves organizational causal conditions such as team management and word-action fit; underlying  factors such as organizational self-esteem, organizational culture; intervening conditions including the influence of location and time conditions on decisions; socio-cultural and economic-political factors; and strategies for transparency, loyalty, honesty, altruism, and job security. In addition, findings show that high morale, job satisfaction, and productivity improvement would be the consequences of building trust between managers and management accountants. Finally, using these findings, we are able to develop a manager and accountant trust model.
Роль турнірных командних ігор (ТКІ) в навчанні учнів початкової школи

The purpose of this study is to explain theoretically about the role of teams games tournaments ( TGT ) on the learning activities of elementary school students . Many factors influence the success of primary school students including the activeness of students in participating in learning. To optimize the activity of learning an appropriate learning model is needed. The right learning model is expected to develop its critical thinking skills and be able to actively participate during the learning process. Through the TGT learning model can train students to think critically in tournaments and quizzes. And student learning activities can be built through group learning in teams. This is reinforced by previous studies using the TGT model for critical thinking skills, the results show an increase, or in other words the effectiveness of critical thinking skills using the TGT model has increased. Based on the discussion of theoretical studies that have been presented theoretically reviews : teams games tournaments ( TGT ) have a role in the activity of learning in elementary school students
Failure of Normalization in Impredicative Type Theory with Proof-Irrelevant Propositional Equality.

Normalization fails in type theory with an impredicative universe of propositions and a proof-irrelevant propositional equality. The counterexample to normalization is adapted from Girard's counterexample against normalization of System F equipped with a decider for type equality. It refutes Werner's normalization conjecture [LMCS 2008].
Organization of students’ project activities based on internet technology services

educa onal ac vi es, weight coeffi cient, mo va on of a teacher.
USO DE REALIDADE AUMENTADA NA EDUCAÇÃO PATRIMONIAL

The advancement of new technologies has enabled greater access to both education and culture at an accelerated rate.These technologies become tools for the development of heritage education, helping to mature understanding, appreciation and preservation of cultural heritage.The concept of heritage encompasses material and immaterial goods that have significant value for a particular region and / or population.When a place with historical particularities is visited through virtual reality, it can provoke the visitor's imagination, allowing him to experience a moment that never lived.In this scenario, the use of virtual and augmented reality platforms has had a significant growth, as it promotes user interaction with real world perspectives, making them feel immersed within certain environments.The use of these technologies in heritage education allows the visualization of sites that may be in ruins or even in structural risk, allowing a better understanding of the importance of maintaining, restoring and preserving cultural heritage.Thus, this paper aims to analyze how the use of virtual and augmented reality can promote heritage education.To this end, a literature review will be developed, where the applications of these technologies in different contexts will be investigated.As a result, will be presented an analysis of works related to the application of augmented and virtual reality in historical heritage pointing some advantages and / or disadvantages of the use of these technologies.
A Paraconsistent ASP-like Language with Tractable Model Generation

Answer Set Programming (ASP) is nowadays a dominant rule-based knowledge representation tool. Though existing ASP variants enjoy efficient implementations, generating an answer set remains intracta ...
Inferring Systemic Nets with Applications to Islamist Forums

Open-source intelligence often requires extracting content from documents, for example intent and timing. However, more interesting and subtle properties can be extracted by directing attention to the thought patterns and framing that is implicitly present in the writings of groups and individuals. Bag-of-words representation of documents are useful for information retrieval, but they are weak from the perspective of intelligence analysis. We suggest that systemic functional linguistics, with its focus on the purpose an author intends for a document, and its abstraction in terms of choices, is a better foundation for intelligence analysis. It has been limited in practice because of the difficulty of constructing the systemic nets that are its representation of these choices. We show that systemic nets can be constructed inductively from corpora using non-negative matrix factorisation, and then apply this to infer systemic nets for language use in islamist magazines published by three different groups: Al Qaeda, Daish (ISIS), and the Taliban. We show that the structures captured are also present in posts in two large online forums: Turn to Islam and Islamic Awakening, suggesting a widely held mindset in the Islamic world.
GeneCAI: genetic evolution for acquiring compact AI.

In the contemporary big data realm, Deep Neural Networks (DNNs) are evolving towards more complex architectures to achieve higher inference accuracy. Model compression techniques can be leveraged to efficiently deploy such compute-intensive architectures on resource-limited mobile devices. Such methods comprise various hyper-parameters that require per-layer customization to ensure high accuracy. Choosing such hyper-parameters is cumbersome as the pertinent search space grows exponentially with model layers. This paper introduces GeneCAI, a novel optimization method that automatically learns how to tune per-layer compression hyper-parameters. We devise a bijective translation scheme that encodes compressed DNNs to the genotype space. The optimality of each genotype is measured using a multi-objective score based on accuracy and number of floating point operations. We develop customized genetic operations to iteratively evolve the non-dominated solutions towards the optimal Pareto front, thus, capturing the optimal trade-off between model accuracy and complexity. GeneCAI optimization method is highly scalable and can achieve a near-linear performance boost on distributed multi-GPU platforms. Our extensive evaluations demonstrate that GeneCAI outperforms existing rule-based and reinforcement learning methods in DNN compression by finding models that lie on a better accuracy-complexity Pareto curve.
Pricing Intelligence and Recommendation System

Guaranteeing the profitability is a significant issue forthe creating nations like India, where more than 33%of the individuals is live in neediness. Pricing is theimportant concept that both the retailers and producersneed to keep track in order to be aware of the gapsbetween the current and the future market. HenceIntelligent pricing is the new technology conceptexisting in order to help the customers review theproducts and keep updated with the market trends andtheir pricing. The emergence of e-commerce websiteshas enabled users to publish or share purchaseexperiences by posting product reviews, whichusually contain useful opinions, comments andfeedback towards a product.In this application we have a tendency toillustrate item-based algorithmic rule and clientReview rating algorithmic rule techniques and systemwill be predict supported the highest overall sellers ona web site, on the demographics of the patron, or onassociate degree analysis of the past shopping forbehavior of the patron as a prediction for futureshopping for behavior. to deal with these problems,we've got explored many cooperative filteringtechniques like the item-based approach, that establishrelationship between things and indirectly cypherprediction for users supported these relationships andadditionally compare things from completelydifferent on-line sites with their rating. The user-basedapproach was additionally studied; it identifiesrelationships between users of comparable tastes andcomputes prediction supported these relationships.The pricing intelligence is showing best costs withinthe market level.
Improving the Attention Span of Elementary School Children in Mexico Through a S4 Technology Platform

Today’s education faces a powerful enemy: lack of interest from students, who, even when attending class, find themselves distracted. This enemy has been in our schools for a long time, where technology has made it worse. This investigation intends to turn technology back to our side by proposing the use of an assistive robot, proving that it is capable of attracting student’s attention and increasing their motivation for a Physical Education (PE) class. This paper demonstrates that for the use of this robot, the characteristics of a sensitive, sustainable, intelligent, and social service/product (S4 products) need to be covered. The obtained data was analyzed from both an engineering and a psychological background. This study concludes that the attention span of children improves while their motivation increases as a result of participating in a robot-assisted PE class.
3D-bevisning - En bevisrättslig undersökning av en ny sorts kriminalteknisk bevisning

With the rise of new technology, new doors are opened to investigate and prove crimes. A new kind of evidence, at least in Swedish courts, is digital 3D models. 3D models are made from data collected with different techniques but foremost laser scanning, which can reconstruct and visualise crime scenes, a course of events, bodily injuries, ballistic and blood print analyses in 3D. So far, 3D models have only been used in a few, but high profile cases in Swedish criminal trials, as the trial of the terrorist acts at Drottninggatan, Stockholm, and NFC (1) predicts increased use of the evidence. This thesis is written as an explorative study with the aim to investigate what 3D evidence is and how it is created, its role in criminal proceedings, and potential uncertainties and sources of error within the evidence. The sources in this thesis are foremost the traditional sources of law such as law, preparatory work and Supreme Court rulings. Furthermore, interviews, studies of lower court rulings, and legal-, forensic-, and witness psychological literature are used. Which method that has been used differs from chapter to chapter, dependent on the research questions and material of the chapter. A legal dogmatic method has been used in my studies of established law. Furthermore, an empirical method has been used to study and analyse case law in which 3D evidence has been used. It has also been used in the studies and analyses of my qualitative research interviews with a forensic scientist, a judge, a prosecutor, and a criminal attorney. The thesis states that the intended function of 3D evidence seems to be to visualise things that could not have been documented by any other kind of documentation, or at least not in an equally accurate way. The actual function of 3D evidence has not been possible to determine fully, given the few court cases that 3D models have been exhibited as evidence. However, it can be stated that the theme of proof of the 3D evidence in each case is considered, by the courts, to be fulfilled. The potential uncertainties in 3D evidence, identified in the thesis, are; deficiencies in the handling of the technology during the collection of data and creation of 3D evidence, manually repositioned or created elements, fragmentary or incomplete data, influence of witness testimonies and psychological impact on the court. Due to the nature of the 3D evidence, and that the court should be able to evaluate the 3D evidence correctly in the individual case, the thesis author believes that uncertainties ought to be presented to the court. Proposals on how the uncertainties could be presented to the court are presented in Chapter 6, in which the thesis author advocates this to be done both in writing, orally and visually.(1) NFC is an abbreviation for the Swedish National Forensic Centre. NFC is an independent expert organisation within the Swedish Police Authority.
Salti di Gioia - Capering About v2

Author(s): Gottschamel, Georg | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
CCS Library: Advertising Design: Overview

Guide to resources for students in the Advertising Design department at CCS Resources and help for the Advertising Design undergraduate department.
Feasibility of Virtual Education in the Framework of Global Sanitary Emergency

The global health emergency declared by the World Health Organization in the context of the Covid 19 pandemic, has impacted society in all its dimensions and areas among them education, in order to prevent and prioritize health, the Ecuadorian government decreed the suspension of school activities establishing the obligation to implement educational policies that incorporate innovative guidelines, methodologies and resources that guarantee access to education, in the context From this crisis arises a special interest in virtual education as a viable alternative to continue with academic processes Its development aims to analyze the feasibility of virtual education in the context of the global health emergency, through the qualitative, bibliographic and analytical methodology, an interpretative approach to virtual education was carried out to establish the feasibility of its application in the context of the emergency Among the conclusions, the feasibility of virtual education is determined as the ideal way to carry out educational activities in the face of the impossibility of presentiality, since the various investigations have demonstrated its usefulness in training processes and the diversity of its advantages in development of the teaching-learning process © 2020, Institute of Advanced Scientific Research, Inc All rights reserved
LibGuides: Media Literacy (NUST): Home

LibGuide created by Dianna E. Sachs, Health and Human Services Librarian, Western Michigan University. Reused and adapted here with her kind permission.
Control your home with augmented reality

As connected devices, or Internet of Things (IoT), are becoming increasingly more common in our homes we need a way to control them remotely. Remote control can be achieved with native applications created by the providers of these IoT devices which can result in you needing several applications to control your IoT devices. Furthermore, issues can arise when naming your IoT devices, e.g. if they are located close to each other it might be hard to separate them by name. Can a relatively new technology such as augmented reality (AR) be used to solve these problems? With AR you can add virtual objects to a real-world environment. By integrating virtual objects with the real-world environment it is easy to understand the context of where the virtual objects are located. AR technology is developing at a high speed and with recent advances in Apple’s ARKit, it is getting more accessible by moving into our phones. This thesis aims to explore how useful it would be to use AR on a mobile phone as a user interface for controlling IoT devices. A prototype where you can control connected light bulbs, a connected speaker, and a motion detector alarm was developed and evaluated in a user study with 20 test participants. The results show potential using AR to control your IoT devices but also indicate that the technology might not be mature in its current state. (Less)
Exploration and reflection on the construction of excellent online course

Based on the characteristics of the excellent online course construction, combined with the experience of the construction of the curriculum, and starting from the dilemma of online course construction, this paper proposes the essential system of course development, sorts out the ideas and methods of course construction, and analyzes the significance of online course construction. It provides reference ideas for improving the quality of online course construction and creating excellent online course construction.
LibGuides: Library Services during the University Closure: eBooks

This guide outlines the services available to you during the Library closures due to COVID-19