Reviewerly/exHarmony huggingface dataset:
Central Bank Independence and Inflation in Sub-Saharan African Economies

This paper aims at assessing the potential effect of central bank independence on inflation in the Sub -Saharan countries. It suggests an extended empirical approach that distinguishes various measures of de jure and de facto independence. Results based on a panel data model of inflation clearly indicate that greater independence does indeed translate into decreased inflation. More specifically, de jure independence tends to matter more than de facto independence, and all of the political, legal and economic aspects of independence seem to be equally important. These results could further convince political authorities in the sub-continent about the necessity of less interference with the monetary authorities for the benefit of more stable dynamics of their economy. Keywords: Central Bank Independence, Inflation, Sub-Saharan Africa.
CISOGRA Robotics: Una propuesta STEM para la mejora de la actitud hacia las matemáticas y las ciencias en Primaria

7th International Congress of Educational Sciences and Development, en Granada (Espana), del 24 al 26 de abril de 2019
Compressing Data Traffic with an Active Image Transcoding Proxy in a Local Consumer Environment

This article presents a system for transcoding and compressing images on-the-fly before delivering it to the client so as to reduce the data stream and thus improve the load times in a local home environment. We lay down the framework for the usage of a compression server that acts as a proxy, and works alongside the home router in the network infrastructure. A properly implemented proxy server does not threaten the user’s privacy because all compression happens locally on a separately attached device, that would also take upon itself the processing-strain of each and every device to render images. Such an approach allows the entire local network to experience reduced traffic, and faster loading times thereby freeing up some part of the bandwidth under use.
Digital Literacy in Infocentro of Barrio San Vicente - La Libertad

At present, the info center of the San Vicente neighborhood works in the canton of La Libertad, Province of Santa Elena, this is a place for citizen meetings, where they can participate in communicating and exchanging knowledge for the individual and society development, their main function is to provide good service to users, where they implement, formulate and propose projects with social organizations in order to transfer great knowledge and seek the welfare of an entire society. Among the different outstanding projects that are currently managed within the institution, there is the digital literacy project where classes are offered on the proper management of the computer, advice and manipulation about the existing information systems. The purpose is to introduce the citizen in the knowledge of TIC with the sole purpose of reducing the gap and digital illiteracy, with this it is intended to motivate the use of technology for their use, improving their quality of life and promoting the development of their community.
A Refined Understanding of Cost-optimal Planning with Polytree Causal Graphs

Complexity analysis based on the causal graphs of planning instances is a highly important research area. In particular, tractability results have led to new methods for constructing domain-independent heuristics. Important early examples of such results were presented by, for instance, Brafman &amp; Domshlak and Katz &amp; Keyder. More general results based on polytrees and bounding certain parameters were subsequently derived by Aghighi et al. and Ståhlberg. We continue this line of research by analyzing cost-optimal planning for instances with a polytree causal graph, bounded domain size and bounded depth. We show that no further restrictions are necessary for tractability, thus generalizing the previous results. Our approach is based on a novel method of closely analysing optimal plans: we recursively decompose the causal graph in a way that allows for bounding the number of variable changes as a function of the depth, using a reording argument and a comparison with prefix trees of known size. We then transform the planning instances into tree-structured constraint satisfaction instances.
Reservation System for Synthetic Soccer Fields Under the Scrum methodology

Web development has now become a technological tool that has driven the evolution of the Internet, it has positioned itself as a vital source of employment generation. This project presents the development of a web portal that allows managing reserves of the synthetic soccer field of the Technical University of Loja in Ecuador, which will streamline and automate all processes that are currently done manually, thus improving control and services, also minimizing the time needed to verify the availability of the court. To carry out this development the following tools have been used: PHP 5, MySQL database system 6.3 and HTML, these are based on the two-layer architecture (Client - Server). The system will allow the optimization of the current reservation process, in which students and staff of the university can make reservations from anywhere at any time.
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture

Users participate in online discussion forums to learn from others and share their knowledge with the community. They often start a thread with a question or by sharing their new findings on a certain topic. We find that, unlike Community Question Answering, where questions are mostly factoid based, the threads in a forum are often open-ended (e.g., asking for recommendations from others) without a single correct answer. In this paper, we address the task of identifying helpful posts in a forum thread to help users comprehend long running discussion threads, which often contain repetitive or irrelevant posts. We propose a recurrent neural network based architecture to model (i) the relevance of a post regarding the original post starting the thread and (ii) the novelty it brings to the discussion, compared to the previous posts in the thread. Experimental results on different types of online forum datasets show that our model significantly outperforms the state-of-the-art neural network models for text classification.
Declaring Support for HTTP/2 Priorities

HTTP/2 provides a prioritization scheme but experience has shown thatimplementation support varies. This document defines an HTTP/2 settingthat endpoints can use as an affirmative signal to indicate theirsupport for HTTP/2 Priorities.
Back to Basics - Building an Exploration Geological Model from Drill Cuttings

Summary A drill cuttings based review of three deep (&gt; 5000m below rotary table) exploration wells located in the Middle East was undertaken to determine if there is a geological reason/s for twist-off. The described intervals, when combined and interpreted, indicate an overall continental section comprising initially four composite halokinetic sequences (CHS), a post CHS affected by pedogenesis and five further cycles interpreted as indicating an alluvial/fluvial gross depositional environment (GDE). The deeper CHS&apos;s were interpreted as indicating a predominantly lacustrine GDE with features related to diaper-induced topography. The observations align with a ‘typical’ cap-rock sequence associated with salt movement and subsequent alteration including possible mineralisation via brines rich in base metals that are probably associated with hydrocarbon migration. Accordingly, and based on this model, salt is predicted below the CHS&apos;s and is considered the (unobserved) cause of twist-off. In addition to the depositional model, reservoir quality was also described. It is best developed in the anhydrite (‘crystalline sands’) of CHS2 and in the fluvial quartz arenites of the post CHS. Integration and comparison with the greater data-set (in particular XRF and XRD data) after the independent cuttings analysis resulted in no change to the cuttings-only model.
Design of a machine learning application for anomaly detection in real-time series

In nearly all enterprises, time series-connected problems are a day-to-day issue which we should know how to face. The question to solve, what will happen to our metrics in the future, can only be answered using sophisticated prediction methods, such as the ones that will be studied in this project. There are numerous algorithms that can be applied to nearly every possible situation but, depending on some factors such as required quality of the prediction, length of the forecasted period, time and associated cost; we should be capable of selecting the appropriate method to successfully fulfil our needs. Time series data is a series of data points indexed in time order. Therefore, data is organized around relatively deterministic timestamps which, compared to random samples, may contain additional information that will be tried to be extracted. The objective of this project is, firstly, to study and understand the properties of time series data, with the intention of being capable of generate accurate predictions using different machine learning techniques. Once this is achieved, these methods will be combined with more sophisticated predictive algorithms with the intention of detecting anomalies in real time series datasets. In order to make this research, the IoT Department of Telefonica I+D has facilitated anonymised data of real clients, which will be used for testing all the methods and techniques presented along this project.
A study of $\tilde{Y}$-transform

In this paper we introduce and study an integral transform ( Ỹ -transform) whose kernel is the D ν µ,ρ (z) function which is generalized form of Kratzel function introduced by Kratzel [10].First, we obtain the basic properties of Ỹtransform.Further, we establish connection formulae of Ỹ -transform with Mellin transform, Laplace transform and Saigo operators.Next, we find the images of the product of H-function and S U V under this transform.
BATIK WASTEWATER MANAGEMENT ANALYSIS BY INTEGRATED COMUNAL, CASE STUDY OF KAMPOENG BATIK LAWEYAN

Batik industry is one of the industries that produces wastewater which contains harmful chemicals. In order to maintain the quality of the environment, it is necessary to have a wastewater management system. The region which has conducted the comunal waste management system is Kampoeng Batik Laweyan. However, this effort of waste management system has not optimal yet. The purpose of this paper is to analyze wastewater management system in Kampoeng Batik Laweyan. The approach of this paper is a quantitative approach, using mix-metode. The analysis of the wastewater management system has been done by assesing 4 aspects such as technical aspect, managerial aspect, economic aspect, and environmental aspect. The wastewater management system has provided good results in technical dan managerial aspects only. For the economic and the environment aspects need to be upgraded since they have not shown any important improvements. Through this paper it is expected to create a substantial improvement in economic and environmental aspects.Keyword: Batik waste, Laweyan, management, wastewater, WWTP.
Ofenbach variPlay - Rock It

Get Inside the Music with the Ofenbach variPlay app! Explore alternate versions, unique remixes and multitrack instruments of Ofenbach's 2019 hit 'Rock It'.The variPlay remixer algorithm intelligently remixes the track automatically in five different musical styles. Tap each segment of the control to hear each remix style. The song never plays the same way twice!Using the manual variPlay mix interface, move between pop, electronic, deep house and electro-rock versions of the song in smooth real time. Remove the vocals and sing along, solo the drums and learn how to play - the variPlay app enables you to explore the building blocks of Ofenbach's music and connect with her creative and musical vision.The variPlay app also incorporates rich media content, including animations, artwork, lyrics, production credits, video links and social media links, allowing you to explore Ofenbach’s artistic world while listening along to the music.
Progression approach for image denoising

Removing noise from the image by retaining the details and features of this treated image remains a standing challenge for the researchers in this field. Therefore, this study is carried out to propose and implement a new denoising technique for removing impulse noise from the digital image, using a new way. This technique permits the narrowing of the gap between the original and the restored images, visually and quantitatively by adopting the mathematical concept ''arithmetic progression''. Through this paper, this concept is integrated into the image denoising, due to its ability in modelling the variation of pixels’ intensity in the image. The principle of the proposed denoising technique relies on the precision, where it keeps the uncorrupted pixels by using effective noise detection and converts the corrupted pixels by replacing them with other closest pixels from the original image at lower cost and with more simplicity.
The Right of Publicity: Worth a Closer Look in the Classroom

Journal of Legal Studies EducationVolume 36, Issue 2 p. 237-279 Article The Right of Publicity: Worth a Closer Look in the Classroom Tonia Hap Murphy, Tonia Hap Murphy Teaching Professor, Mendoza College of Business, University of Notre Dame. I thank Patrick D. Murphy for comments on this article and unending encouragement, and Eileen Murphy for guidance on social media issues.Search for more papers by this author Tonia Hap Murphy, Tonia Hap Murphy Teaching Professor, Mendoza College of Business, University of Notre Dame. I thank Patrick D. Murphy for comments on this article and unending encouragement, and Eileen Murphy for guidance on social media issues.Search for more papers by this author First published: 07 August 2019 https://doi.org/10.1111/jlse.12094 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume36, Issue2Summer 2019Pages 237-279 RelatedInformation
Haptic MIDI Controller Interface on Touchscreen Devices

The present study is part of a development of the theme Musical Interactions and consists of a project focused on interactions with touchscreen devices, namely through the use of hybrid interfaces, using multi-touch technology and modular TUI (Tangible User Interface) objects for performance and musical control. Its main objective is to create an interaction solution from hybrid interfaces that allow to combine the advantages of the traditional controllers with the new possibilities of the touchscreen devices, emphasizing an indispensable characteristic in the musical interaction: the haptic feedback. Design Science Research Methodology (DSRM) and Action Research (AR) were, due to their iteractive and complementary characteristics, the methodologies chosen for the development of the design solution of this project.
Quality management in forensic science. SeanDoyleLondon: Academic press. 2019. 426 pp. ISBN 978‐0‐12‐805416‐1. $150.00 (hardcover)

American Journal of Physical AnthropologyVolume 170, Issue 2 p. 324-325 BOOK REVIEW Quality management in forensic science. Sean Doyle London: Academic press. 2019. 426 pp. ISBN 978-0-12-805416-1. $150.00 (hardcover) Frankie West, Corresponding Author Frankie West flwest@wcu.edu orcid.org/0000-0002-8625-4452 Forensic Science Program, Western Carolina University, Cullowhee, North Carolina Correspondence Frankie West, Forensic Science Program, Western Carolina University, Cullowhee, NC. Email: flwest@wcu.eduSearch for more papers by this author Frankie West, Corresponding Author Frankie West flwest@wcu.edu orcid.org/0000-0002-8625-4452 Forensic Science Program, Western Carolina University, Cullowhee, North Carolina Correspondence Frankie West, Forensic Science Program, Western Carolina University, Cullowhee, NC. Email: flwest@wcu.eduSearch for more papers by this author First published: 02 August 2019 https://doi.org/10.1002/ajpa.23910Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume170, Issue2October 2019Pages 324-325 RelatedInformation
Affect Enriched Word Embeddings for News Information Retrieval

Distributed representations of words have shown to be useful to improve the effectiveness of IR systems in many sub-tasks like query expansion, retrieval and ranking. Algorithms like word2vec, GloVe and others are also key factors in many improvements in different NLP tasks. One common issue with such embedding models is that words like happy and sad appear in similar contexts and hence are wrongly clustered close in the embedding space. In this paper we leverage Aff2Vec, a set of word embeddings models which include affect information, in order to better capture the affect aspect in news text to achieve better results in information retrieval tasks, also such embeddings are less hit by the synonym/antonym issue. We evaluate their effectiveness on two IR related tasks (query expansion and ranking) over the New York Times dataset (TREC-core '17) comparing them against other word embeddings based models and classic ranking models.
Improving best route using intelligent Ad Hoc system

This study aims to studing possibility transferring data with short time, without or liitle cost and minimum lost of data This study attempts to find a system with high performance in sending and receiving message between nodes minimum lost with information using a genetic algorithm to improve this advantage. Main problem of our study with the system is how to decrease (cost and time) and improve it by intelligent function with GA create two or more back up of distributed node depend on time; route calculation saves as a backup map to direct switch without any delay when simulation execution indicated good result. Simulation results are carried out for both algorithms using MATLAB. The goal of our paper is process of data transferring with the most important three factors less expensive, less time and the least possible loss of transferred data.
The Implementation of Touchless Fingerprint Accreditation System to Prevent Disenfranchisement in Global Election Using Machine Learning

This work presents the implementation of Touchless fingerprint accreditation system to prevent disenfranchisement in global election. The aim of this work is to help accord every eligible citizen of a country the right to vote using the proposed system. The author was inspired as a result of the challenges experienced in the recently concluded Nigerian election, to the fact that most times the fingerprint scanning machine malfunctions. We present a system developed using image acquisition tools, image processing tools, and machine learning techniques respectively. The system was designed and implemented using mathlab programming tool, achieving high accuracy value of 96.6% using the finger print dataset provided by Mathworks and also the local dataset provided by the researcher.
ASPEK GRAMATIKAL NOVEL HUJAN KARYA TERE LIYE DAN RELEVANSINYA DALAM PEMBELAJARAN DI SEKOLAH MENENGAH ATAS

&lt;em&gt;The purpose of this study is to describe (1) the grammatical aspects contained in Tere Liye's novel "Rain" and (2) the grammatical aspect of Tere Liye's novel "Rain" which can be used as a learning material in High School XII class. This research includes qualitative research with the main data source is Tere Liye's novel "Rain" by 2017. The characteristic of the novel "Rain" is simple, both simple in the use of language, and simple in the story presented. Sampling technique of this research using purposive sampling. Data analysis technique used is discourse analysis model according to text and context. The results of this study indicate that Tere Liye's novel "Rain" uses the appropriate grammatical aspects so as to form a unified discourse. Grammatical aspects used include references, substitutions, ellipsis and conjunctions. The discourse of "Rain" by Tere Liye has relevance as a novel teaching material at High School because the discourse is presented in simple language and featuring a light storyline.&lt;/em&gt;
Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction

Graph Convolutional Networks (GCNs) are a class of spectral clustering techniques that leverage localized convolution filters to perform supervised classification directly on graphical structures. While such methods model nodes’ local pairwise importance, they lack the capability to model global importance relative to other nodes of the graph. This causes such models to miss critical information in tasks where global ranking is a key component for the task, such as in keyphrase extraction. We address this shortcoming by allowing the proper incorporation of global information into the GCN family of models through the use of scaled node weights. In the context of keyphrase extraction, incorporating global random walk scores obtained from TextRank boosts performance significantly. With our proposed method, we achieve state-of-the-art results, bettering a strong baseline by an absolute 2% increase in F1 score.
Justice in an Ever-Evolving (Digital) World – A Reflection on the Annual International Bar Association’s War Crimes Conference

Amsterdam Law Forum (ALF) is the student-run 'International Law Journal' of VU University. Every year ALF publishes a winter, spring, and summer issue. The journal consists of three sections; scientific articles, opinion articles, and commentaries. As of this year, ALF also creates a section for inaugural speeches. In addition, ALF hosts a conference in spring with a relevant legal theme, where renowned speakers are invited to share their perspectives. Overall, ALF is a topical journal that provides a platform for established scholars and young academics to share knowledge, opinions and experiences and to make contributions to the international law discourse. Staff, PhD students and master students who have written a very good thesis are invited to submit an article to ALF. What is learned in the cradle is carried to the tomb: we are looking forward to sharing your articles on our website!