Reviewerly/exHarmony huggingface dataset:
Platform value(s): A multidimensional framework for online responsibility

Where a court makes an order, for example, requiring an Internet platform to block or remove content, it has several options. The order can be limited to content displayed locally, it can apply to that content globally, or something in-between. This – the matter of ‘scope of jurisdiction’ – is gaining increasing attention and was the central issue in two recent decisions by the Court of Justice of the European Union (CJEU).In this article, I examine those two decisions. I then compare that to how Australian courts have dealt with scope of jurisdiction and I map out what we can learn from these cases. In doing so, I place emphasis on the importance of messaging and the need for judicial activism.
Visual Lab Assistant : Using Augmented Reality To Aid Users In Laboratory Environments

This thesis was inspired by the desire to make working in cluttered spaces easier. Laboratories are packed full of instruments and tools that scientists use to carry out experiments; this inevitabl ...
연극 《나와 세일러문의 지하철 여행》 1) 의 공동창작 2) 특성 연구

The way of performing production varies according to the cultural background to be produced and the changes of the times. Among them, the method of collaborative creation has been newly introduced and attracted attention in Western theater in the 1960s, and is now being discussed as an alternative theater.The characteristics of collaborative production produced by the researchers through the previous researches related to Ariane Mnouchkine, which is famous as a collaborative creation artist in France, are summarized as follows. They emphasize ‘diversity’ in the process of creation, second, to work in ‘a process-oriented attitude’, and third, to reveal ‘the presence of participating artists''. As noted, the collaborative creation work was not originated in the domestic theater industry, but should be regarded as a domestic acceptance that senses the change of Western theater production mode as a result of exploring new ways of creating Western theater since the 1960s.Therefore, it is believed that the typical characteristics of these collaborative creations, which can be identified through Mnouchkine, can fully discuss how they are being implemented in the production of the local work 《I and Sailor Moon''s Subway Travel》 even though no traces or associations of direct interaction can be found. And the reasons why this work is more suitable for collaborative creation than for other collaborative creation productions are as follows. First, because it was created by a group of performers from three countries (Korea, Japan and Hong Kong), it was highlighted by ''diversity'' and secondly, it was actively composed and performed by ‘reflecting the workshop process’, and thirdly, the characteristics of creating ‘a co-existing environment for audiences and actors’ are relatively clear. As a result, 《I and Sailor Moon''s Subway Travel》 is thought to reflect the typical characteristics of collaborative creation in Western theater with great clarity. In particular, it was judged that they could represent the contemporary collaborative creation characteristics of the same time period among collaborative creation production in Korea, given that they were more advanced than before. We hope this study could contribute to diagnosing and predicting the current state of the collaborative creation system in Korea.
Effective Static Analysis Enforcement in Complex Cloud Native Dockerized Systems

This short paper discusses a case study of static analysis enforcement for one of the cloud native products in a dockerized environment. Such systems are different from conventional setup in their software toolchain and process, hence their static analysis differs and is challenging to enable. Static analysis helps ensure rapid, secure and robust product delivery in such a setup.
Regularized multiscale frequency domain full-waveform inversion based on hybrid regularization scheme

Full-waveform inversion is an ill-posed seismic inverse problem with a strong nonlinearity.The most common strategy to mitigate the nonlinearity of full-waveform inversion and make it well-posed is by adopting a multiscale strategy to mitigate its nonlinearity, where the inversion is performed sequentially by moving from low to high frequencies, combined with regularization and preconditioning schemes to drive the inversion toward realistic physical models of the subsurface.In this work, we introduce a hybrid regularization scheme based on the Cauchy and Tikhonov constraint for multiscale frequency domain full-waveform inversion.Our regularization scheme may be a good strategy to recover target in the subsurface composed with smoothly-varying regions and regions with strong contrasts of physical parameters.In addition, we combine our hybrid regularization scheme with an adaptive weighted parameter to relax the requirement of estimating a particular regularization parameter for each inversion stage of a regularized multiscale frequency domain fullwaveform inversion.Numerical examples carried out with a synthetic model demonstrates that the inverted model by our scheme is a solution between the inverted models by full-waveform inversion using Tikhonov and Cauchy constraint.
Deep Learning based Vehicle Position and Orientation Estimation via Inverse Perspective Mapping Image.

In this paper, we present a method for estimating a position, size, and orientation using a single monocular image. The proposed method makes use of an inverse perspective mapping to effectively estimate the distance from the image. The proposed method consists of two stages: 1) cancel the pitch and roll motion of the camera using inertial measurement unit and project the corrected front view image onto the bird's eye view using inverse perspective mapping. 2) detect the position, size, and orientation of the vehicle using a convolutional neural network. The camera motion cancellation process makes vanishing point to be located at the same point regardless of the ego vehicle attitude change. Through this process, the projected bird's eye view image can be parallel and linear to the x-y plane of the vehicle coordinate system. The convolutional neural network predicts not only the position and size but also the orientation of the vehicle for the 3D localization. The predicted oriented bounding box from the bird's eye view image is converted in the meter unit by the inverse projection matrix. The proposed method was evaluated on the KITTI raw dataset on the metric of the root mean square error, mean average percentage error, and average precision. Despite the conceptually simple architecture, the proposed method achieves promising performance compared to other image based approaches. The video demonstration is available online [1].
Creating a multilingual terminological resource using linked data:the case of archaeological domain in the Italian language

We want to thank SmartApps for providing useful material and information for the realization of this project. Thisproject has been partially supported by the PON Ricerca e Innovazione 2014/20 and the POR Campania FSE 2014/2020funds. Sina Ahmadi is also supported by the EuropeanUnion’s Horizon 2020 research and innovation programmeunder grant agreement No 731015.
PROMOTING LITERACY SKILLS THROUGH STORYBIRDS AS WEB-BASED TECHNOLOGY

In this 21st century era, technology plays a significat role in language teaching and learning process both inside and outside the classroom  This study is intended to describe the language education lecturers’ opinion and the students’ opinion on the use of storybird as web-based technology for literacy skills by using case study design. The subjects of the study were the language education lecturers and the students who joined  writing class in STKIP PGRI Pasuruan in the academic year 2018-2019. The instruments used  were  interviews and document analysis. Three findings are revealed from the study. Firstly, 81% of the language lecturers used web-based technology  for their teaching, but only very few of them were familiar with storybird platform. These  lecturers agreed that storybird was beneficial to sharpen  the students’ literacy skill. Secondly,  the majority of the students (73%)  believed that the use of storybird helped them to write better. Two appealing aspects of storybird which encouraged students to read and write  were its beautiful pictures and its freedom for everyone to use, while the weakness laid in the requirement to be online  and the difficulty to download the story.
Effects of Export Price Volatility on Ethiopia’s Economy: Applied General Equilibrium Analysis

This study explored the economy-wide effects of export price volatility on Ethiopia’s economy using Applied General Equilibrium model calibrated through 2009/10 Social Accounting Matrix of Ethiopia. Two simulations were developed to capture price volatilities, increase and decrease in export in price. The study revealed that increase in export price appreciates the domestic currency, raises import demand, but it reduces export demand which together worsened the trade balance. The increase in export price also weakens investment demand, government income and saving and the growth of the economy. However, it raises factors return, household income and welfare. Conversely, decrease in export price depreciates domestic currency, which lead to low import and high export demand, which in turn improved the trade balance. It also increases investment demand, government income and saving, and overall economic growth. But, fall in export price results low factors return, household income and welfare. To reduce the negative impacts of export price volatility in the overall economy, it is suggested that: a) exchange rate policy of the country should be managed-floating type, b) diversification and industrialization of export sector through integrating commodity policies into the country overall development strategy, and c) harness the income gains from commodity prices to facilitate wider-economic transformations and reduction of dependence on primary commodities export. Keywords: Ethiopia, Export price Volatilities, General Equilibrium Model, and Social Accounting Matrix.
Queensland Mining Journal analytics: new information from old data

SummaryThe Queensland Mining Journal represents a wealth of information relating to mining activities in the state, from 1800 to the present day. This material has been scanned and made available in the public domain as high-quality image files. We have applied Google Vision optical character recognition, parsed the output JSON files through a domain-specific filter and indexed the content for presentation via an analytics dashboard based on mineralogy and which can be filtered by commodity age and location. The dashboard further incorporates mine site information from Queensland’s Digital Exploration (QDEX) Data System allowing prospective miners to drill down into QDEX content based on mineral occurrence, mine status and deposit size. We plan to build on this activity using Elastic Search to improve our association of content from articles to spatial location.This activity supports individuals and mining companies with an interest in Queensland to rapidly identify locations of interest. It offers a pragmatic approach using freely available information to support the Queensland authorities in attracting investment to their region through lowering the barrier in terms of effort level for companies looking to explore in the state. This comes at a time of heightened competition for investment and could ultimately lead to increased exploration activity and success, resulting in brownfield development of historic prospects and mine sites, minimising environmental impact of new exploration and mining yet generating income for the state through local activity and tax revenue on any mineral extraction.
Are Risks in IT Global and Local Projects the Same?

The aim of this chapter is to identifier the differentiation of risk between global and local projects through exploratory research carried out using a systematic literature review. One thousand seven hundred twenty-five risks were identified in 46 articles published in the last 20 years and classified within 22 categories. The major concern regarded in local project management was the client (external risk) and scope (internal risk) and, in global project management, the psychic distance (external) and coordination and control (internal). The main difference between the risk categories for each project type refers to the psychic distance category, which was identified almost exclusively in global projects, thus making the external risks more relevant than those in local projects. On the other hand, it allows some risks, such as supplier and stakeholder, to be underestimated. The results indicate that project managers should focus on different risks depending on the type of IT project: global or local.
Improved Presentation and Facade Layer Operations for Software Engineering Projects

Nowadays, one of the most challenging situations for software developers is the presence of a mismatch between relational database systems and programming codes. In the literature, this problem is defined as impedance mismatch. This study is to develop a framework built on innovations based on the existing Object Relational Mapping technique to solve these problems. In the study, users can perform operations for three different database systems such as MsSQL, MySql and Oracle.  In addition, these operations can be done within the framework of C# and Java programming languages. In this framework, while the developers can define database tables in the interface automatically, they can create relations between tables by defining a foreign key. When the system performs these operations, it creates tables, views, and stored procedures automatically. In addition, entity classes in C# and Java for tables and views, and operation classes for stored procedures are created automatically. The summary of the transactions can be taken as pdf file by the framework. In addition, the project can automatically create Windows Communication Foundation classes to facilitate the handling of database elements created and the interfacing operations, as well. This framework, which supports distributed systems, can be downloaded at this link.
MACHINE LEARNING APPROACHES TO ENHANCE CLAIMS DATA ANALYSES

Abstract This presentation will cover recent advances in machine learning applied to large claims databases involving medical disparities. First, we will describe methods involving the enrichment of existing claims data with social determinants of health from census data, where variables are imputed from one dataset to another, ultimately resulting in clinical models with enhanced predictive performance. Second, we will discuss the inclusion of variables representing imaging signs from MRI and CT exams, presenting large scalability and interobserver reliability, representing a method that can be used to enrich large state and national registries through the use of image recognition. Finally, we will discuss novel protocols for Natural Language Processing involving a combination of rule-based creation of corpora for radiology and discharge reports, with highly accurate deep learning methods for concept extraction and classification.
Jaringan Syaraf Tiruan LVQ Berbasis Parameter HSV dalam Penentuan Uang Rupiah Palsu

ABSTRACT. Counterfeit money when viewed at a glance has the exact same physical with the original money issued by Bank Indonesia. To prevent unintentional transactions using counterfeit money, the government has socialized the 3D method (Visible, Feelable, and Endangered). In addition, in institutions directly related to finance such as banking, as well as on-site shopping have started using a counterfeit money scanner that utilizes ultraviolet light. The lack of this tool requires the accuracy of the human eye to determine genuine or fake money. Determination of authenticity of Rupiah banknotes can be done by using the pattern classification method one of which can be accommodated by artificial neural networks. LVQ (Learning Vector Quantization) performs supervised learning to classify a pattern. The feature of banknotes in HSV (Hue Saturation Value) color space is extracted in this proposed technique. The features that have been obtained are further classified using LVQ to determine the authenticity of the Rupiah banknotes.Keywords: counterfeit money; Rupiah banknotes; LVQ; HSV
Detection of Citations by Log Information to Prevent Reference Omissions

It is necessary to include bibliographic references in books, documents, newspaper articles, among others, which are ideally referred to during the creation of reports or articles. However, as the description of the references (bibliographic references) is left to the users’ discretion, their omission due to the user’s carelessness is a problem. To prevent this form of reference omission, a method exists that can detect sentences created by copying them from other electronic documents. This would give the user the references that need to be mentioned at the end of their article. In this paper, we will improve upon the previous method of detection accuracy for sentences created using the copy and paste operation and the process of displaying them to the user for easy understanding. Additionally, we will examine the detected sentences that are required to describe the reference that was generated without using the copy and paste operation.
AN ANALYSIS ON THE STUDENTSâ€™ ERROR IN WRITING ARGUMENTATIVE ESSAY OF THE FOURTH SEMESTER STUDENTS IN STKIP PGRI PASURUAN

Abstract : For Indonesian learner produce an organized writing in correctly grammar have always been a difficult problem in making written text. It happened since the first language learners have already become the learnersâ€™ habit and it influeces the process of using the foreign language. This study investigated common English language errors made by fourth semester students. 34 writing participanted to be the subject of this research and it were obtained from the studentsâ€™writing task. Errors were involved by collecting samples of learner language, identifying the errors in the sample, describing these errors, classifying them according to their nature and causes, and evaluating their gravity (Keshavarz, 2012). The nine most common errors committed by the participants were, article, tenses, gerund, preposition, word order, agreement, modal, to-infinitivem and active & passive. The study is important to educators and study material developers who should become aware of the kind of errors that their target learners make, so they can take into consideration while preparing the teaching material. For learners, error analysis is importantant Â as it shows the areas of difficulty in their writing.
Implementation of English subject curriculum in Islamic secondary schools in Indonesia using Delphi method

This study was aimed to investigate the implementation of English subject Curriculum used in Islamic secondary schools in Makassar city, South Sulawesi, Indonesia.Currently, English subject curriculum includes elements of English and characters as a new approach to replace the previous curriculum.The elements of English subject should be developed together with regional and national characters (values of cultures and beliefs).This study employed survey method and Delphi technique to collect the data.The survey method was used to analyze the elements of English and characters which were collected through eighty two curriculum developers and English teachers.Delphi technique was used to verify the results of the inclusion of elements of English and characters.It used meaningful communication with selected experts of English teachers and curriculum developers working in Islamic secondary schools.The experts answered a list of Delphi for two rounds and one another round was interviewed for final clarification.The findings confirmed that most respondents still had shortage experience to develop and implement this current English subject curriculum.The experts claimed that the practitioners in schools need to be trained to develop precise themes and topics and the ways to integrate the characters in the lesson plan and to evaluate the student's characters.Also, the practitioners in schools should make together the strategies to include characters for teaching English as recommended by the national education regulation.The conclusion concerned with this study, practitioners should know many cultures and characteristics of people in pluralism country as recommended by the curriculum.
Development of a French ecosystem to support cohorts

Abstract For a long time, the usual research funding mechanisms in France limited the development of very large databases (funding too low or too short for example). Over the past decade, new measures provided unprecedented momentum in our country to structure large cohorts. Due to their very broad scope, cohorts are one of the reference instruments for epidemiological and public health research. Cohorts also help to inform decision-making on risk prevention action, enhance the health system or patient care. For these reasons, the French Ministry of Research identified in 2008 cohort as research infrastructures. With this decision, the Ministry recognizes their usefulness for the public health research community, and more broadly for biomedical research. To fund this ambition, a call for proposal was launch in 2010 by the government as part of the ‘Investments for the Future &amp;gt;&amp;gt;. A dozen patient or general population cohorts are funded through this process, such as Constances, E4N or others. The creation of the National Health Data System in 2017 also reinforces the strategic aspect of cohorts. This system is unique in Europe. He allows cohort data to be linked with data from health insurance, hospital data, causes of death, disability data and supplementary health insurance organizations. The challenge of artificial intelligence also follow the analysis of this data flow. This model is part of a national strategy with several initiatives: joint coordination, shared services (France Cohortes), the France Médecine Génomique plan and the Health Data Hub, as well as the recently announced launch of 4 Institutes for Artificial Intelligence, three out of them having exploitation of health data at the heart of their development strategy. The objective of this intervention will be to present this french integrated model, and mechanisms developed, in terms of tools, resources or staff, at the service of cohorts and researchers.
BEST PRACTICE, IMPLEMENTASI GERAKAN LITERASI SISWA DALAM PEMBENTUKAN KARAKTER “ MEKAR-BERSERI”

Reading is a window to the world, but the level of interest in reading in Indonesia is very low. This is exactly what encourages the writer to create a literacy program in schools in accordance with the GLS program that is required to be done. Reading and writing can reduce student problems and can even solve problems that are being faced by students. Students who are diligent in reading and writing will certainly have high discipline. In accordance with the vision and mission and the motto of SMP Negeri 3 Barusjahe, students are expected to be able to realize "MEKAR-BERSERI" that is to be Independent, Educative, Creative, Active and Clean Disciplined, Healthy, Neat and Beautiful. To measure the successful implementation of this GLS Program researchers used descriptive qualitative methods. The results of this study indicate that literacy in the scope of schools is the ability of a student to develop what students get from reading and writing so that students become more creative, productive, competitive, characterized, and nationalist and foster good character for students. In addition, by reading and writing students can increase obedience and compliance with school rules and regulations