Reviewerly/exHarmony huggingface dataset:
호주 식민역사의 상징 토끼 울타리 — 도리스 필킹턴의 『토끼 울타리를 따라가라』

This paper analyzes the rabbit-proof fence as a symbol of Australian colonial history in Doris Pilkington’s Follow the Rabbit-Proof Fence. The rabbit-proof fence began with the English colonization of Australia. Through sport hunting, the colonizers wanted to improve their social status as new landed gentries, and the colonial government operated colonial discourse by practicing the “Englishness.” Just as the white settlers built the fences to control rabbits, they governed Australian Aboriginal people through an assimilation policy. The Australian government, in the name of civilizing Aboriginal people, tried to separate the Stolen Generations and assimilate them into white society. In the process, however, the traditional culture of the indigenous people was disconnected, and the indigenous community was disbanded.
ROLE DEVELOPMENT OF STUDENT’S CREATIVE ABILITIES

This article discusses the modern education system, strengthening the requirements for teachers to educate the individual as free, creative, cultural and active, as well as the current role of the development of creative abilities in students. Also, based on scientists’ researches, the meaning and content of concepts such as creativity, creative activity, ability, and the fact that these concepts provide an opportunity to define the concept of “student's creative ability” are written. It was found out that creative ability is a complex of individual psychological features that successfully allow you to implement actions that meet all the requirements for creating material and spiritual values, as well as for inventing new products and findings. In the framework of the study of issues on the restoration and development of students' creative abilities, the components of students' creative abilities development are presented.
Extra: Expertise-Boosted Model for Trust-Based Recommendation System Based on Supervised Random Walk

The quality of recommendations based on any class of recommender systems may become poor if no or low quality data has been provided by users.This is a situation known as Cold Start problem, which typically happens when a new user registers to the system and no preference data is available for that user.Trust-Aware Recommendation Systems can be considered as a a solution for the cold start problem. In these systems, the trust between users plays an import role for making recommendations. However, most of the Trust-Aware RSs consider trust as a context independent phenomenon which means if user a trusts user b to the degree k then user a trusts user b to the degree k in all the concepts. However, in reality, trust is context dependent and user a can trust user b in context X but not in Y . Moreover, most of the trust-aware RSs do not consider an expertise concept for users and all the users are considered as same in the recommendation process. In this paper we proposed a novel approach for detecting expert users just based on their ratings (unlike previous systems which consider the separate profile and extra information for each user to nd an expert). In this model a supervised random walk is exploited to search the trust network for finding experts. Empirical experiments on the Epinions dataset shows that EXTRA can outperform previous models in terms of accuracy and coverage.
LibGuides: Digital Newspaper Subscriptions: Washington Post

This guide provides information for BWU students, faculty, and staff to take advantage of the digital newspaper subscriptions available campus-wide
Executive Order 13,891 Sub-Regulatory Guidance Document Portal: An Exercise In Utility

Executive Order 13,891 requires agencies to create portals for their guidance documents. This paper compiles a single one-stop portal for all of them that will be kept current.
Cross-domain emotion detection in tweets: Detecção de emoção inter-domínio em tweets

Abstract: Emotions are extremely important for human beings, being the focus of extensive studies in several areas of Science for many years. In Computer Science, this topic has been receiving increasing interest, especially in automatic emotion detection. This thesis addresses the task of automatic emotion detection in tweets written in Portuguese ? short texts posted in social media. In particular, this thesis studies emotion detection on tweets related to the stock market. However, due to the limited data available in this domain, it was necessary to train machine learning algorithms using a corpus with generic content. The thesis defends that, in order to perform cross-domain emotion detection, syntactic information of tweets may be used to obtain better results than when using word frequencies only, without the need of domain adaptation. As for validating this thesis, two corpora were built and annotated with emotions: a corpus of tweets automatically annotated, mentioning mixed topics, and a corpus with tweets manually annotated, related to the Brazilian stock market. The first was used to train the algorithms and the latter was used only for testing, in order to compare algorithms in the cross-domain emotion detection. The algorithm chosen for cross-domain demotion detection was the SVM with a Tree Kernel, which is able to combine syntactic and lexical information without using larger computation resourcers. At the end, the thesis concludes that the algorithm that uses syntactic information actually obtains better results for the surprise emotion only, when compared with an algorithm that uses word frequencies only. Although also presenting better results for other 4 emotions (from a total of 8 evaluated emotions), differences were not statistically significant. On the downside, the method was not effective in discriminating neutral tweets ? those which do not express any emotion, with the need for future studies in this direction. The work presented in this thesis also showed that the proposed method obtained bet- ter results in detecting emotions in general when the cross-domain problem is ignored. Nevertheless, these results, when compared with related work, are still below those pre- sented by Deep Learning techniques, with the exception of anticipation emotion, which obtained the best results among all the previous works reviewed. However, comparisons with previous works should be viewed with reservations, since each one used different corpora
INVESTIGATION OF THE RELIABILITY OF AUTOMATIC ANNOTATION BY THE GERI TIME LAPSE INCUBATOR

Time lapse (TL) technology allows integration of annotations into an algorithm for predicting embryo potential. As manual annotation is time consuming and potentially subjective, automatic annotation systems have been developed. While previous studies have evaluated the Eeva system, no evaluation of the Geri automatic annotation (A2) has been published to date. The objective of this study was to fill this knowledge gap by comparing the performance of A2 to manual annotation (MA).
EKSPRESI MENUNJUK LOKASI OBJEK WISATA BERBASIS WRITING AS COOPERATIVE ACTIVITY OLEH MAHASISWA FAKULTAS PARIWISATA UNTRIM BALI

The study of expression to refer tourist object through writing as cooperative activity is held to identify the structure of expression since this activity gives more time to revise ideas. The idea to write based on own experience of viting object and write it with partner to open access learning together. There are 3 research questions such as form and stucture, information covers and cohesion. Data collected from general English online learning and then analyzed descriptively. To motivate the expected expression, a simple model sentence is provided. Research found out 3 conclusions. First, there are 3 categories based on form and structure chosen, such as (a) copying model in which only a few words are replaced without necessary agrement so that the expression seems similar to model. (b) Modified sentences produce additional sentence elements, for example object uniqueness and the object advantages compared to other. (c) The ability to improve is clearly found in third category where various additional information, such as attractions, photo spots, facilities, entrance tickets, to culinary delights are added. (2) The coverage of expressions includes six of the eight commonly used to refers object, i.e object name, region, theme, closest object, icon, and access. (3) The cohesion is done by cohesion tools, such as this, there, and introductory.Keywords: expression to refer tourist object, form and stucture, coverage, cohesion.
Round-up of European design law decisions 2020

Trying to explain the importance and economic clout of effective design protection to modern entrepreneurs is rather like preaching to the choir. Successful designs combine innovative brilliance with emotional appeal, attractive appearance1 with enhanced functionality, or simply captivate through their elegance, simplicity or coolness. Whereas only three decades ago, designs were regarded as the ‘Cinderella’ of the IP rights family,2 design protection is now—rightly—recognized as an essential prerequisite to economic success in nearly all sectors of industry. And this trend continues to gain momentum, with an increasing number of decisions being handed down every year by the EUIPO, the General Court (GC) and the Court of Justice, as well as the competent courts in the EU Member States. This round-up provides an overview over the most significant decisions rendered between 1 January and 31 December 2020 in the ever-growing field of EU and (largely harmonized) national design law....
TONE MAPPING OPTIMIZATION FOR REAL TIME APPLICATION

Many tone mapping algorithms for natural and synthetic images have been proposed in recent years. However, manually tuning their parameters is difficult, especially if the scene is dynamically changing over time or the view point is altered, as is the case in real time applications. In this thesis, we propose modifications to an automated parameter tuning algorithm which can replace the manual tuning work. This algorithm can optimize the parameters of tone mapping operators by minimizing the perceptual distortion using an evolution strategy. The perceptual distortion is measured by a feature-based objective image quality metric. This metric utilizes a contrast-enhanced virtual photograph technique by using a content-adaptive tone mapping operator specially designed for rendered HDR content characteristics. We show that, our tone mapping results with optimized parameters preserve more visible contrast than other optimization algorithms. A further related issue in real time applications is the interpolation of tone mapping parameters. Standard practice uses a color grading pipeline to encode tone mapping results and color grading modifications into look-up tables (LUTs). Using look-up tables, artists can reproduce and apply certain luminance and color grading processes efficiently and easily. However, the interpolation of tone mapping and color grading parameters between locations where look up tables have been designed is problematic. We present a further algorithm for real-time interpolation of multiple look-up tables in video games accelerated by compute shaders on the GPU. Our method utilizes compute shaders to parallel counting the pixels belonging to each LUT and change the color grading effects using a post processing volume. We show that our results have a closer visual appearance to the reference images when the player changing the view point and can be executed with a fluent frame rate without overly taxing the CPU.
New ECMA 74 operating conditions for personal computers and workstations

ECMA-74 Annex C.15 prescribes procedures for acoustical testing of personal computers and workstations. The dramatic advances in computer technology and use over the past two decades motivated the formation of an IT industry workgroup shortly after InterNoise 2018 to update the annex for these changes. The updated procedures, which will be published in the 18th edition of ECMA-74, are described. The updated procedures comprise new operating conditions: 1) web browsing, 2) office productivity, 3) media content creation, and 4) power user/gaming, in addition to the idle condition, and how computer system power and performance settings, which affect computer noise, are to be set and reported.
Designing a Human Resource Effectiveness Model at the University with an Innovative Data Base Approach (Case Study: Islamic Azad University)

Objective: In this study, the model of human resources effectiveness from the perspective of faculty members in the Islamic Azad University of East Azerbaijan has been designed. Method: The mixed research method (qualitative and quantitative) and the paradigmatic approach of the foundation data processing theory have been implemented and implemented in three stages of open, axial and selective coding. According to the conditions of adequacy of sampling and achieving the theoretical saturation of qualitative research, eighteen members of the faculty with academic executive positions were purposefully selected and interviewed. In the quantitative part of the research, the statistical population of the research included the faculty members of the Islamic Azad University and senior executive staff in East Azarbaijan province. The statistical sample of the research was 230 people. In order to collect data, a researcher-made questionnaire based on the findings of the qualitative section was used. Structural equation tests using SmartPLS software were used to analyze the quantitative data. Findings: The results showed that the conceptual model obtained from the qualitative part in the form of components in the form of: providing targeted training, developing human resource competencies, paving the way for creativity and innovation, using appropriate strategies and procedures of knowledge management to improve knowledge absorption and promotion An appropriate form has been developed and has been statistically confirmed. Also, the human resource functions of the university have not been designed in an innovative, transformational and forward-looking manner based on a strategic approach and based on scientific beliefs and principles. Conclusion: The results indicate a positive and significant effect of foundation data approaches and structural equations and path analysis on the formation of a model for designing a model of human resource effectiveness in the university.
The Pursuit and Implication of China’s Intelligence War in the Fourth Industrial Revolution Focusing on Military Modernization

Considering the COVID-19 pandemic and the strategic competition between the US and China to realize a global power, we would like to examine how China is applying the 4th industrial revolution technology to military modernization. The research method is a literature analysis, which anaylzes the actual state and implications of China’s intellectual war. The analysis factors were analyzed as military policies and strategies according to the security environment, internal factors such as military modernization, and external factors such as US-China strategic competition and 4th industrial revolution technology, and implications were derived. China is pushing for future war patterns into an intelligent war supported by mass production of AI technology. The study was found that the war was being promoted to become an intelligent war through the following three things: First, maintaining the increase rate of the budget for weapon system modernization, second, reorganization such as the creation of strategic support units, and third, analysis of industries related to the defense sector. However, it was analyzed through logical reasoning as an undisclosed AI technology field related to defense, but, it is necessary to quantify research in the future.
State-of-the-Art Natural Language Processing Techniques

Natural language processing (NLP) aims to interpret people’s language as people do. Language consideration is a very crucial task, technically. Intelligent touches of conversation that babies can understand still obscure the most authoritative machines. Even though progressive methods such as deep-learning (DL) can detect and replicate-multifarious language decorations, machine-learning (ML) modelling still lacks the conceptual understanding of what our words actually represent. That said, in the last two decades, there have been numerous milestone investigation developments in the areas of NLP and NLP understanding. The chapter describes and deliberates the noteworthy and noticeable research in the respective period, and concludes with a valuation of where we stand after more than two decades of development.
Exploration and Analysis on the Optimization Path of Financial Management in Colleges and Universities under the Background of Big Data

In the context of the growing development of the Internet, big data is gradually applied to all aspects of life, learning and work. The financial management of colleges and universities is often in the central position of various affairs of colleges and universities. It is the basis of various management activities and plays an important role in promoting the development of learning and teaching. The financial management of colleges and universities has also been greatly affected by the development of big data, and gradually changed from single bookkeeping to single accounting. At the same time, the development and application of big data also pose a higher challenge to the financial management of colleges and universities. Therefore, it is very important to study the optimization path of financial management of colleges and universities.
ANALYSIS OF BITCOIN PRICE PREDICTION

Lately, Bitcoin is the most important in the digital currency market. Notwithstanding, costs of Bitcoin have exceptionally varied which make them undeniably challenging to foresee. Henceforth, this exploration plans to find the most proficient and most noteworthy precision model to foresee Bitcoin costs from different AI calculations. In this paper, we proposed to anticipate the Bitcoin cost precisely thinking about different boundaries that influence the Bitcoin esteem. By gathering data from various reference papers and applying progressively. The cycle occurs in the paper is first snapshot of the examination, we intend to comprehend and discover every day patterns in the Bitcoin market while acquiring understanding into ideal elements encompassing Bitcoin cost. Our informational collection comprises of different components identifying with the Bitcoin cost and installment network throughout consistently, recorded every day. By preprocessing the dataset, we apply the a few information mining strategies to diminish the commotion of information. Then, at that point the second snapshot of our examination, utilizing the accessible data, we will anticipate the indication of the every day value change with most elevated conceivable precision.
Blockchain systems: analysis, applications, & risks

A basic blockchain system is characterized as the ordered list for the used nodes and links where these nodes are entitled for storing information and chains connect these links. This technology mainly facilitates the development and management of the availability for the publicly available and required resources and ledger of transactions. This technology also supports the development of the cryptocurrency-based operation and performance evaluation for the technological management. This paper has analyzed different components of Blockchain concepts and evaluated the potential development, structural components, risks, applications within the present-day technological world.
Pemanfaatan Google Classroom Dalam Pembelajaran Menulis Puisi Masa Pandemi Covid 19 Di SMA Negeri 1 Sine

This study aims to (1) describe the learning process of writing poetry during pandemic covid 19, (2) describe the utilization of google classroom in learning to write poetry during pandemic covid 19 and (3) describe the obstacles of teachers and students in learning to write poetry at SMA Negeri 1 Sine, Ngawi Regency. This research data is qualitative descriptive analysis. The object of this study was teachers and students of grade X sma Negeri 1 Sine, Ngawi Regency as many as 60 students. Data collection techniques using interviews and questionnaires.The results showed that (1) The learning process of writing poems during the Covid 19 pandemic at SMA Negeri 1 Sine, Ngawi Regency uses online learning by utilizing google classroom media. (2) The use of Google classroom in learning to write poetry during the Covid-19 pandemic at SMA Negeri 1 Sine is considered appropriate as one of the media in learning and students respond well, namely as many as 60.3% of students answer interested in learning poetry with the google classroom. According to 86.2% of google classroom students provide new and exciting experiences in learning activities compared to other media. A total of 66.4% of students spend time reading and doing various tasks using the google. In addition, 69.5% of students are more concentrated in learning even though they have to be faced with a laptop or android for a long period of time. That's because according to 42.8% that google classroom has a clear and easy to understand view. (3) The obstacles experienced by the teacher are the location of the house is not reachable internet network, the character and behavior of students are difficult to monitor, while the obstacles experienced by students are the limitations of infrastructure such as laptops or mobile phones owned by parents, difficulty in internet access, unstable electricity conditions, and limited internet quotas that can be provided by parents and lack of effectiveness and efficiency of time due to parents who are busy working.
Sentiment Classification on The Act of Paedophiles on Twitter

Twitter is an online microblogging site where people share their thoughts by tweeting on their timeline in short messages called tweets. Sometimes all the information shared by the user is not true. However, there are individuals who use Twitter for the satisfaction of their sexual desires. In this case, there are few cases for the past seven years of sex offenders logging in to Twitter to find their victims. This sex offenders are known as paedophiles. Paedophiles case have increased drastically in the social media since they are targeting children, especially when social media platforms are mainly used by children and teenagers.This paper aims to conduct a study on sentiment analysis that can predict the sentiment of the tweets that are posted by the users in twitter. Furthermore, the purpose of this project is to be able create a system with a new workflow in conducting a sentiment analysis. Although, there are a lot of researchers who came out with a few methods for sentiment analysis, this paper focuses mainly on doing a sentiment analysis classification on Twitter’s tweet based on the topic domain. Sentiment analysis uses a predicting sentiment polarity to get precise results.The main objective of this paper is to have a new workflow in doing sentiment analysis that uses KNIME platform and the data can be showed on the dashboard in Power BI.4
Research Guides: Special Collections Resources for Teachers: Mapping State Standards to Digital Collections

This guide provides K-12 teachers with digitized primary sources and information on teaching with primary sources in their classrooms.
Approaches to Electronic Processing of Archival Mass Sources: Reformatting or Creating Digital Resources

The research is supported by Russian Foundation of Basic Research, project No. 18-09-00592 «The Evolution of the Peasant Family in the Middle Urals in the 20th Century: Reconstruction Based on Budgetary Surveys».